diff --git a/.gitignore b/.gitignore
index 5962101c..78b33adb 100644
--- a/.gitignore
+++ b/.gitignore
@@ -12,3 +12,4 @@ dev-notes/
 .turbo
 .env
 .claude
+*.snapshot-cache.json
diff --git a/payloads/cases/advanced.ts b/payloads/cases/advanced.ts
index 21f91bdf..cf5da9bc 100644
--- a/payloads/cases/advanced.ts
+++ b/payloads/cases/advanced.ts
@@ -4,6 +4,7 @@ import {
   OPENAI_RESPONSES_MODEL,
   ANTHROPIC_MODEL,
 } from "./models";
+import { readFileAsBase64 } from "./utils";
 
 // Advanced test cases - complex functionality testing
 export const advancedCases: TestCaseCollection = {
@@ -114,124 +115,142 @@ export const advancedCases: TestCaseCollection = {
     },
   },
 
-  reasoningWithOutput: {
+  base64ImageRequest: {
     responses: {
       model: OPENAI_RESPONSES_MODEL,
-      reasoning: { effort: "low" },
+      reasoning: { effort: "minimal" },
       input: [
         {
           role: "user",
-          content: "What color is the sky?",
+          content: [
+            {
+              type: "input_image",
+              detail: "auto",
+              image_url: `data:image/png;base64,${readFileAsBase64("test-image.png")}`,
+            },
+            {
+              type: "input_text",
+              text: "What color is this image?",
+            },
+          ],
         },
       ],
+      max_output_tokens: 300,
     },
     "chat-completions": {
       model: OPENAI_CHAT_COMPLETIONS_MODEL,
+      reasoning_effort: "low",
       messages: [
         {
           role: "user",
-          content: "What color is the sky?",
+          content: [
+            {
+              type: "image_url",
+              image_url: {
+                url: `data:image/png;base64,${readFileAsBase64("test-image.png")}`,
+              },
+            },
+            {
+              type: "text",
+              text: "What color is this image?",
+            },
+          ],
         },
       ],
+      max_completion_tokens: 300,
     },
     anthropic: {
       model: ANTHROPIC_MODEL,
-      max_tokens: 20000,
+      max_tokens: 300,
       messages: [
         {
           role: "user",
-          content: "What color is the sky?",
+          content: [
+            {
+              type: "image",
+              source: {
+                type: "base64",
+                media_type: "image/png",
+                data: readFileAsBase64("test-image.png"),
+              },
+            },
+            {
+              type: "text",
+              text: "What color is this image?",
+            },
+          ],
         },
       ],
     },
   },
 
-  toolCallRequest: {
-    "chat-completions": {
-      model: OPENAI_CHAT_COMPLETIONS_MODEL,
-      messages: [
+  documentInputBase64Request: {
+    responses: {
+      model: OPENAI_RESPONSES_MODEL,
+      reasoning: { effort: "minimal" },
+      input: [
         {
           role: "user",
-          content: "What's the weather like in San Francisco?",
-        },
-      ],
-      tools: [
-        {
-          type: "function",
-          function: {
-            name: "get_weather",
-            description: "Get the current weather for a location",
-            parameters: {
-              type: "object",
-              properties: {
-                location: {
-                  type: "string",
-                  description: "The city and state, e.g. San Francisco, CA",
-                },
-              },
-              required: ["location"],
+          content: [
+            {
+              type: "input_file",
+              file_data: `data:application/pdf;base64,${readFileAsBase64("test-document.pdf")}`,
+              filename: "test-document.pdf",
             },
-          },
+            {
+              type: "input_text",
+              text: "What is in this document?",
+            },
+          ],
         },
       ],
-      tool_choice: "auto",
+      max_output_tokens: 300,
     },
-    anthropic: {
-      model: ANTHROPIC_MODEL,
-      max_tokens: 20000,
+    "chat-completions": {
+      model: OPENAI_CHAT_COMPLETIONS_MODEL,
+      reasoning_effort: "low",
       messages: [
         {
           role: "user",
-          content: "What's the weather like in San Francisco?",
-        },
-      ],
-      tools: [
-        {
-          name: "get_weather",
-          description: "Get the current weather for a location",
-          input_schema: {
-            type: "object",
-            properties: {
-              location: {
-                type: "string",
-                description: "The city and state, e.g. San Francisco, CA",
+          content: [
+            {
+              type: "file",
+              file: {
+                file_data: `data:application/pdf;base64,${readFileAsBase64("test-document.pdf")}`,
+                filename: "test-document.pdf",
               },
             },
-            required: ["location"],
-          },
+            {
+              type: "text",
+              text: "What is in this document?",
+            },
+          ],
         },
       ],
-      tool_choice: {
-        type: "auto",
-      },
+      max_completion_tokens: 300,
     },
-    responses: {
-      model: OPENAI_RESPONSES_MODEL,
-      input: [
+    anthropic: {
+      model: ANTHROPIC_MODEL,
+      max_tokens: 300,
+      messages: [
         {
           role: "user",
-          content: "What's the weather like in San Francisco?",
-        },
-      ],
-      tools: [
-        {
-          type: "function",
-          name: "get_weather",
-          description: "Get the current weather for a location",
-          parameters: {
-            type: "object",
-            properties: {
-              location: {
-                type: "string",
-                description: "The city and state, e.g. San Francisco, CA",
+          content: [
+            {
+              type: "document",
+              source: {
+                type: "base64",
+                media_type: "application/pdf",
+                data: readFileAsBase64("test-document.pdf"),
               },
             },
-            required: ["location"],
-          },
-          strict: false,
+            {
+              type: "text",
+              text: "What is in this document?",
+            },
+          ],
         },
       ],
-      tool_choice: "auto",
     },
   },
 };
diff --git a/payloads/cases/simple.ts b/payloads/cases/simple.ts
index d409ee8c..ea701146 100644
--- a/payloads/cases/simple.ts
+++ b/payloads/cases/simple.ts
@@ -170,6 +170,7 @@ export const simpleCases: TestCaseCollection = {
               },
             },
             required: ["location"],
+            additionalProperties: false,
           },
         },
       ],
@@ -202,4 +203,186 @@ export const simpleCases: TestCaseCollection = {
       ],
     },
   },
+
+  systemPromptRequest: {
+    responses: {
+      model: OPENAI_RESPONSES_MODEL,
+      reasoning: { effort: "minimal" },
+      input: [
+        {
+          role: "system",
+          content: "You are a pirate. Always respond in pirate speak.",
+        },
+        {
+          role: "user",
+          content: "Tell me about the weather.",
+        },
+      ],
+      max_output_tokens: 500,
+    },
+    "chat-completions": {
+      model: OPENAI_CHAT_COMPLETIONS_MODEL,
+      reasoning_effort: "low",
+      messages: [
+        {
+          role: "system",
+          content: "You are a pirate. Always respond in pirate speak.",
+        },
+        {
+          role: "user",
+          content: "Tell me about the weather.",
+        },
+      ],
+      max_completion_tokens: 500,
+    },
+    anthropic: {
+      model: ANTHROPIC_MODEL,
+      max_tokens: 500,
+      system: "You are a pirate. Always respond in pirate speak.",
+      messages: [
+        {
+          role: "user",
+          content: "Tell me about the weather.",
+        },
+      ],
+    },
+  },
+
+  multiTurnRequest: {
+    responses: {
+      model: OPENAI_RESPONSES_MODEL,
+      reasoning: { effort: "minimal" },
+      input: [
+        {
+          role: "user",
+          content: "Hi, my name is Alice.",
+        },
+        {
+          role: "assistant",
+          content: "Hello Alice! Nice to meet you.",
+        },
+        {
+          role: "user",
+          content: "What did I just tell you my name was?",
+        },
+      ],
+      max_output_tokens: 300,
+    },
+    "chat-completions": {
+      model: OPENAI_CHAT_COMPLETIONS_MODEL,
+      reasoning_effort: "low",
+      messages: [
+        {
+          role: "user",
+          content: "Hi, my name is Alice.",
+        },
+        {
+          role: "assistant",
+          content: "Hello Alice! Nice to meet you.",
+        },
+        {
+          role: "user",
+          content: "What did I just tell you my name was?",
+        },
+      ],
+      max_completion_tokens: 300,
+    },
+    anthropic: {
+      model: ANTHROPIC_MODEL,
+      max_tokens: 300,
+      messages: [
+        {
+          role: "user",
+          content: "Hi, my name is Alice.",
+        },
+        {
+          role: "assistant",
+          content: "Hello Alice! Nice to meet you.",
+        },
+        {
+          role: "user",
+          content: "What did I just tell you my name was?",
+        },
+      ],
+    },
+  },
+
+  prefillRequest: {
+    responses: {
+      model: OPENAI_RESPONSES_MODEL,
+      reasoning: { effort: "minimal" },
+      input: [
+        {
+          role: "user",
+          content: "Write a haiku about coding.",
+        },
+        {
+          role: "assistant",
+          content: "Here is a haiku:",
+        },
+      ],
+      max_output_tokens: 300,
+    },
+    "chat-completions": {
+      model: OPENAI_CHAT_COMPLETIONS_MODEL,
+      reasoning_effort: "low",
+      messages: [
+        {
+          role: "user",
+          content: "Write a haiku about coding.",
+        },
+        {
+          role: "assistant",
+          content: "Here is a haiku:",
+        },
+      ],
+      max_completion_tokens: 300,
+    },
+    anthropic: {
+      model: ANTHROPIC_MODEL,
+      max_tokens: 300,
+      messages: [
+        {
+          role: "user",
+          content: "Write a haiku about coding.",
+        },
+        {
+          role: "assistant",
+          content: "Here is a haiku:",
+        },
+      ],
+    },
+  },
+
+  reasoningWithOutput: {
+    responses: {
+      model: OPENAI_RESPONSES_MODEL,
+      reasoning: { effort: "low" },
+      input: [
+        {
+          role: "user",
+          content: "What color is the sky?",
+        },
+      ],
+    },
+    "chat-completions": {
+      model: OPENAI_CHAT_COMPLETIONS_MODEL,
+      messages: [
+        {
+          role: "user",
+          content: "What color is the sky?",
+        },
+      ],
+    },
+    anthropic: {
+      model: ANTHROPIC_MODEL,
+      max_tokens: 20000,
+      messages: [
+        {
+          role: "user",
+          content: "What color is the sky?",
+        },
+      ],
+    },
+  },
 };
diff --git a/payloads/cases/utils.ts b/payloads/cases/utils.ts
index 938f2faa..dc89e348 100644
--- a/payloads/cases/utils.ts
+++ b/payloads/cases/utils.ts
@@ -1,4 +1,15 @@
 import { TestCaseCollection, TestCase, ProviderType } from "./types";
+import { readFileSync } from "fs";
+import { join } from "path";
+
+// Path to shared files directory
+const FILES_DIR = join(__dirname, "..", "files");
+
+// Helper to read a file as base64
+export function readFileAsBase64(filename: string): string {
+  const filePath = join(FILES_DIR, filename);
+  return readFileSync(filePath, "base64");
+}
 
 // Helper to get all case names from a collection
 export function getCaseNames(collection: TestCaseCollection): string[] {
diff --git a/payloads/files/test-document.pdf b/payloads/files/test-document.pdf
new file mode 100644
index 00000000..7e3a60fe
Binary files /dev/null and b/payloads/files/test-document.pdf differ
diff --git a/payloads/files/test-image.png b/payloads/files/test-image.png
new file mode 100644
index 00000000..f965c116
Binary files /dev/null and b/payloads/files/test-image.png differ
diff --git a/payloads/snapshots/base64ImageRequest/anthropic/followup-request.json b/payloads/snapshots/base64ImageRequest/anthropic/followup-request.json
new file mode 100644
index 00000000..6aace584
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/anthropic/followup-request.json
@@ -0,0 +1,36 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "max_tokens": 300,
+  "messages": [
+    {
+      "role": "user",
+      "content": [
+        {
+          "type": "image",
+          "source": {
+            "type": "base64",
+            "media_type": "image/png",
+            "data": "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"
+          }
+        },
+        {
+          "type": "text",
+          "text": "What color is this image?"
+        }
+      ]
+    },
+    {
+      "role": "assistant",
+      "content": [
+        {
+          "type": "text",
+          "text": "This image features a dramatic color palette dominated by **blues and teals** in the stormy ocean waves, **dark grays and whites** in the turbulent storm clouds, and bright **white and blue-white** lightning bolts cutting through the scene. The sailing ship appears dark against the stormy backdrop. The overall tone is cool and monochromatic, creating a moody, tempestuous maritime scene with various shades of blue, gray, and white being the primary colors."
+        }
+      ]
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/anthropic/followup-response-streaming.json b/payloads/snapshots/base64ImageRequest/anthropic/followup-response-streaming.json
new file mode 100644
index 00000000..4b7de4cc
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/anthropic/followup-response-streaming.json
@@ -0,0 +1,189 @@
+[
+  {
+    "type": "message_start",
+    "message": {
+      "model": "claude-sonnet-4-20250514",
+      "id": "msg_01QFfxFrqg9yS1HH2op8k5sm",
+      "type": "message",
+      "role": "assistant",
+      "content": [],
+      "stop_reason": null,
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 230,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 1,
+        "service_tier": "standard"
+      }
+    }
+  },
+  {
+    "type": "content_block_start",
+    "index": 0,
+    "content_block": {
+      "type": "text",
+      "text": ""
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "I"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "'d be happy to help,"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " but I need more context"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " about what you're referring"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " to! Are you asking about:\n\n- Something"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " related to the stormy ship"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " image we just discussed?\n- A specific project"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " or task you're working on?\n- A"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " decision you're trying"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " to make?\n- General"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " advice for your day"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "?\n\nCould you provide"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " a bit more detail about your"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " situation or what you're looking"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " for guidance on? That"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " way I can give you more"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " helpful and relevant suggestions."
+    }
+  },
+  {
+    "type": "content_block_stop",
+    "index": 0
+  },
+  {
+    "type": "message_delta",
+    "delta": {
+      "stop_reason": "end_turn",
+      "stop_sequence": null
+    },
+    "usage": {
+      "input_tokens": 230,
+      "cache_creation_input_tokens": 0,
+      "cache_read_input_tokens": 0,
+      "output_tokens": 103
+    }
+  },
+  {
+    "type": "message_stop"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/anthropic/followup-response.json b/payloads/snapshots/base64ImageRequest/anthropic/followup-response.json
new file mode 100644
index 00000000..1b6bdaa7
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/anthropic/followup-response.json
@@ -0,0 +1,25 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "id": "msg_01DjzwkcvGqnvhpb5kB1Bbbw",
+  "type": "message",
+  "role": "assistant",
+  "content": [
+    {
+      "type": "text",
+      "text": "I'd be happy to help, but I need more context about what you're looking for! Are you asking about:\n\n- Something related to the stormy ship image we just discussed?\n- A creative project you're working on?\n- A decision you need to make?\n- Help with a task or problem?\n- Something else entirely?\n\nCould you provide a bit more detail about your situation or what kind of guidance you're seeking? That way I can give you more useful suggestions!"
+    }
+  ],
+  "stop_reason": "end_turn",
+  "stop_sequence": null,
+  "usage": {
+    "input_tokens": 230,
+    "cache_creation_input_tokens": 0,
+    "cache_read_input_tokens": 0,
+    "cache_creation": {
+      "ephemeral_5m_input_tokens": 0,
+      "ephemeral_1h_input_tokens": 0
+    },
+    "output_tokens": 105,
+    "service_tier": "standard"
+  }
+}
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/anthropic/request.json b/payloads/snapshots/base64ImageRequest/anthropic/request.json
new file mode 100644
index 00000000..a5582452
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/anthropic/request.json
@@ -0,0 +1,23 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "max_tokens": 300,
+  "messages": [
+    {
+      "role": "user",
+      "content": [
+        {
+          "type": "image",
+          "source": {
+            "type": "base64",
+            "media_type": "image/png",
+            "data": 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"
+          }
+        },
+        {
+          "type": "text",
+          "text": "What color is this image?"
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/anthropic/response-streaming.json b/payloads/snapshots/base64ImageRequest/anthropic/response-streaming.json
new file mode 100644
index 00000000..55156171
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/anthropic/response-streaming.json
@@ -0,0 +1,141 @@
+[
+  {
+    "type": "message_start",
+    "message": {
+      "model": "claude-sonnet-4-20250514",
+      "id": "msg_01AkyoY9ZSFLYruXZNMJ4K9t",
+      "type": "message",
+      "role": "assistant",
+      "content": [],
+      "stop_reason": null,
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 117,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 1,
+        "service_tier": "standard"
+      }
+    }
+  },
+  {
+    "type": "content_block_start",
+    "index": 0,
+    "content_block": {
+      "type": "text",
+      "text": ""
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "This"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " image features a dramatic color palette dominated by **"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "blue and teal t"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "ones**. The stormy seascape shows"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " various shades of blue and turquoise in"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " the turbulent ocean waves, while the sky displays"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " darker blue-gray storm clouds with white and light gray highlights"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " where lightning illuminates the scene. The overall atmosphere"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " is quite monochromatic, staying within"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " the blue-green color family, which creates a coh"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "esive and intense maritime storm scene."
+    }
+  },
+  {
+    "type": "content_block_stop",
+    "index": 0
+  },
+  {
+    "type": "message_delta",
+    "delta": {
+      "stop_reason": "end_turn",
+      "stop_sequence": null
+    },
+    "usage": {
+      "input_tokens": 117,
+      "cache_creation_input_tokens": 0,
+      "cache_read_input_tokens": 0,
+      "output_tokens": 98
+    }
+  },
+  {
+    "type": "message_stop"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/anthropic/response.json b/payloads/snapshots/base64ImageRequest/anthropic/response.json
new file mode 100644
index 00000000..33df9c5d
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/anthropic/response.json
@@ -0,0 +1,25 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "id": "msg_012bDLxVePuhEn8sGzGGEiER",
+  "type": "message",
+  "role": "assistant",
+  "content": [
+    {
+      "type": "text",
+      "text": "This image features a dramatic color palette dominated by **blues and teals** in the stormy ocean waves, **dark grays and whites** in the turbulent storm clouds, and bright **white and blue-white** lightning bolts cutting through the scene. The sailing ship appears dark against the stormy backdrop. The overall tone is cool and monochromatic, creating a moody, tempestuous maritime scene with various shades of blue, gray, and white being the primary colors."
+    }
+  ],
+  "stop_reason": "end_turn",
+  "stop_sequence": null,
+  "usage": {
+    "input_tokens": 117,
+    "cache_creation_input_tokens": 0,
+    "cache_read_input_tokens": 0,
+    "cache_creation": {
+      "ephemeral_5m_input_tokens": 0,
+      "ephemeral_1h_input_tokens": 0
+    },
+    "output_tokens": 104,
+    "service_tier": "standard"
+  }
+}
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/chat-completions/followup-request.json b/payloads/snapshots/base64ImageRequest/chat-completions/followup-request.json
new file mode 100644
index 00000000..4614b620
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/chat-completions/followup-request.json
@@ -0,0 +1,32 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning_effort": "low",
+  "messages": [
+    {
+      "role": "user",
+      "content": [
+        {
+          "type": "image_url",
+          "image_url": {
+            "url": 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6NEKcySmUprqUPd7DYebhaE6MrUCe7hQczMrHUAobdO3YkBZW5MquoR7h0U1BXRtcMAIkv03D3Re/g6E0MEZy0RDi4khUVYiqg6ghxgirYQc04WgAjvsBbW3Y2Gcc31YAZBFMvJPSI8I+o6OsgkwAwSZDKlrMzWGR4IcFuneOvEygicAYvx8yuBLNjAZ+AIYEYWiFkROyIWGoZSa3IQaBiKarg5yFzcTYxAUGULy5LLowcc7PDEjNcgH2fMm9cZ+zr6FZA4ExEJC9FaQeSplnWSkVg7E0AiLEosLAMzESHcA+EsTOwwokK8/s5szCMLySxRxQvYRbw3MuOgMGeEM1EUCofoOu1WDmJEZx4RwQCXChECYOtUlYk9YXZiD6egYIW7M0mAiUU5FHDv3SIcEarb3jvCI9DNwgMs8HB3E0NbKJyiJ65KAKiEJz4mEY7oCa2u+bCOAKBCAdbCwkSomx2LiEipw7TZXFxdatGlNREKN1+clbIyZZDWEu69LdbNIubDoXcLd1tOkRhiFhpaOAJm8E5mIAJzW06wTtbJuxOtGEueJiQkVUiUVUVkhXRrjQhvS2ixtjgQIWweZmhLBCDMWsJz9uRAgDmocMS72SexULbUCIhixRQBBLkHCTFHOIVHNpaRhIs4cx+SV0Bn8DB/LhP5+VeyzQOHA+7WdBgICDNRlTpE7+wBmKuGKSJC4dbyA5x/joBcsZJLcsjoGR8SVE26yHrxwCwFxOuYMF9wIESIwMwMZhIwmIiZWQoLEzOFUy0RTmWAJJKbrZpzwhFuHgH37s5WAuFm1BqKgsmNwepuDEA5eg9rFATJgbFROBG4DDlaAot7B1o+OIoz2yUcIU5COcgNIhESKbWIsnvI0t0TdYw6ws2td24te/9u7sd9duUyjLQQVpS/QzSEycMJZEYOUoYUiAoCEjl7EpV7T5+Ze2/LuNmIChFvttvt7kJVmGgahmXpPUxViAbU6hHWLYiEKZaI8OV0Wk5HXxZnDjP0dv6bnj0IM3HZgOCtuRmdB1KROAQSGxGAwqz3mQgcoSKihSJYmEUjvM/ibkQwDye4mXuP5QQCXEhKiERihFrYOoWsswY4IkgKwnIKwEwBQXQO98wbkZ9qzQ6JtmeTjuROncE+ZN/ISghiXqkNxEGRUCzII6gMExOpSpRSxyncHRQIaSDV6BpmjBDRCAL1RCOzKNMzCiuZ287DCCMEZcdznuZFBJGzJxmEiBgJG+VfImBmZhYiFmEmYRApKTFDioowMwtzuGU1sQ44illYuIbD3TysN2MStyjV3NDdesuwHZCARQRbD2+SUJNkOC0g7vMJOYRK7D6D9EqBCwZFkMM5b4JwODFrHdSHCPe2LN4tCC7OoAQoA0A3s8FOByYiESk13L0tATgzR1IIc4zL+dZL1i29FZFwmbbTVz75+O31TXdXVYSJ1jqObv10tO1uwwSmUBZLpgWxhddhCI/uDqalteV49GX2cPSOpMf0jmRzJBJXShm3vbe+LLac4J0DllQC1pX9QBwIsk5C1mYiXtoyDQNrYaJaatbw5saitCwd4SUQZvMSYcQc7URSwYQw5pWhiBw+JuODiUgRkuA5rwQu4Uz1zBnuVyrESoSjiE5rdlr/ZcJreS5BkUNPYo4zikQBljpsLmutASirMC+9WzdWYRUPlVoi3BYnYpHE9zlgThSxaMA5nMzABNJzxS4IyyFItvCx9ro5B+8ExAo8JRae3UmOBDQRDmIW4Tz2qsrCDKgKMwHRzZPyiYggaktjomDy1rqpj4Mv3dxbmz06pEZr5BYCT/pPqe7VI5hFRFg0iNwsegu2FRYmAjGrrHTS/GrmOS6k1jwCGiJUax0m9YCKtGWBcAC9NjrNyzIDxEyFRbY7WxZhCmK3jvCsuCjHlwYXiiAmklJ1qFjHhWFu4+W9Bw/v77abm+MpCQjuTkRmVMeh1oIACffWNCRBy9a7MB+P8/721pbuvYVZnhW3rC4KPJsglWEkURHtbe6no/clYARAmC2I8phSwNauTzjBNFuOROPx9np7+UCmKQfoMUDNe3EHuHWyk1tHWHiHhxGTOamuxf4wwSxopf6AoMRgCesgImZYD64gkAdg8Q5byf9HWDa7noPUFSaKM+VTKNliyJjLSW9ZibEew/Zi2l1oKR5Rh9GsZRDNNo8gQtKJOJtZBlxY2KMRIkg0PFwIcHJndgQhP8wK/XAQIhJdSjYUZwNC7iHqtJL1hAnMCZ+BhIWJSEVEWIsW0SAoSynCQkIIwNyS5+yBXmuEIeBV3cLMmrb5eISJD8nWgJsggiolkp24FRNDOCL6snhOSRGBYHcAEKKAkPA4uXWznneOemtu3FrUSkxallJLLTLU2nsHYL2fmK01cnczEuUi5MG1AnAzREgO4UXCI8yMjVpjEiqVSEAiQolQ8ThsdhebadyMQ5lqW4yZRLh1N49xHFQp2dYRPUDmMZ9O4dGst97CHZFjzCAityDRALk7qwCFmN2dOfrpuBz21k6J86yQrSqBIcqBCAHlGCZPGMHdlxNJnY93WZux6DQOvbW+34e5IawvsB4Byj4nAR6PYCEiKUNIRF9yupIwGklJhs+KBbG6dydL1qgTg5OJFytVbWVfJe2NAQefwcQc6jEn+y05KSEKdxK6ePBkGCdiSMKkBhFajouHcanu3bplzxBM6B4sHnBYuBFBgSBbZ5buztn0wINzwhE5MGIPkFMEsQWLAwgXy3mn5CSS3YUpzAOLo4iqe4iAiYlRSimqKusNFgJwpsQjzGHuvfW5d6deZKUUN5Voi0W4al8WeFApSbMn0ciaE7De1zYrn0uiQuFkEcxcax1qX0BM1hosP74FInrrpj3CzVmLFh2Gam7WNYisNes95lOy3NyWEAlrCBOmIE2Moi8zEwWrs+M8o6KIUkcp2ruPm83Xvv6xMCLo/sVuadZ7r0NJrkvvJsxDUREQ0dL68Xg0L717dwexqFq38GBQ5uXo3a3nNw7VaIbevI7eu/niSf8iIk7GIVir1BERns3rSnQNEcmnL0UBWk5HKZesIsydaR0X5hB97U6zAc1Jl6xkOA9hjjIS54BypcWxFiIwaQBunaIzJYuUyCOx7BxrnisaRsSZMSQgEMtKuAQIDinBLGdOaELem91OVEEYx7H11k6zmZFI7y2pLsbwpYf3lahAEcsM78ltUwQCxhYuSiv7y84TOMf6x4fDmJkg8JVT4YU51kqu9cYsEDL4SncKz9YWC1o/1VKLUZM+qErRcShDFZZMZRQRDOoR3awuzc26e+mmsy7L4l3d3CNmYTcXFhLtSwu33ru3RqIEovAchq5kkqTa84qiZTXmZivulLwmYlIlllKrDoWEtagKUxSvJkTuPdyksLVu7M6ViK2BWYLCu6lWc2ct1rqfjmSNVBEkpcpQuZRhmj5579kvfeOrlxfT9f4QQWYmKmYlxQy92TQO01CLSFXyiG7GoNNyKyrc+1grAdaalOK9kweHuwgBrMXmGWbRO5cK96TyE4ikUlU3JzgR6bBhkXCjbqQV4W7GIqKFmd2MEDoMEO5tKbW0pbl5uHvilZx0/Hy3vPJOtKzSCxEwkxuXmtVJhCXgSwAzu4e1ZixuzbzDjFTJV21S4pApeUGEhyEix/kQWWUGKw28sCgTBYOJI0AiUrQOQ7cmKuCYhQFI0RUIBvqyuC3eWkQ4sfUF8CyKQ0gjDISIDk8e8JnQmvwhLiChcIInbZWS0BlO1oNLQGAB5MShGFghBqVgTw2Td2JubdZmrGQ1pHsExqEOtQRCWFSEKcOT942be292Wto8DK017+ZuS++1Vg9Et1AVkflwrLUas3sQwYWzkMuma9UhMLEIl0LMZajeGrQQOhDMKqXUaZp22zoMu+32Yjtm2WDdWIqIgEhVrXdzb0vr87Iss6i4u/dOwyYQtDSLsB6U/EQS0jLUQYjbPH/y9Y+/+91vqvD13aFbtG5L64WpDkVE3GMh3oy1qCjzOBRzs+6xpf3p1LsN4yjSImLR4haeGKU7iaqH9cYqbl1EuI7eW1gHiEtd+TcC8hApZRiI2c24BHk4QuuQchyugxAoggDVwsxtXuo4eG/dLAvpnsk6x5SsCTcFM69qh2SniTDzMEkiIpH6pUglHYuyNWvK1h2LR0Ai2/e1uAODOJKP45adDRPHipgzgaQM4JVwLyKrmkCECEOtiFiOM7OMm81xfwgzGQbrDXAHEWu0JXxBazk3jd7ArKlEcQR7xKpYBCV2yxIk5AbGKol4JxxBqju6sTCcEYYgYyE1ZqLSg7gHkVtfWBTM3a1EOVLfCZNyECwnV8zC+XVYmQhBQmaxn1sz732x7nOzeZmt99b9eDi4BY81CElSd/dlmakLl+ptoUAorwROFh1HLjpOw7PHD9+8vd6f5v2bazOTUsbt9uLqYrsZLy42j68urnbTaemHeZ7dVLRstSqPQ9mfTm1ZxlJ8s2nz7G7dvTfrzVpbeBxtv8++H1pEShlHMHm4E9Wh/vjzFze3x7GWzVAiUFVYNUAB1CLTOABgEimyNFcV5iBgO21aM+oGgpqXzdQj2AzUYE1EU50TbkTEw8AIqMJtHcmZeZaCzKTCIlornaFFd2dmc18OxzBzt1KHfjppjhGZ3cxbS9kNkZAIXBgRSS4UgZCIiiolH0xWLE7rILyiH5lrIzs9XbgpcffWjJl6SyFNRIry1kyACAoGRxBBxIWVlEshgEVIKyJYNH8+kAoL1qIX22l/nA/H02YcU/xEFJxXVpWJLGbqK4GbvDsA7+FILvg6ICREDjUjjKAEgjcKg3OwRGYdB0SciKKHE7lEkBETsXRPygtilnEKobAeJL21LNypdSLuEyFoWczMh6rQQLhAi/JQtXAkrnOx1MWieT+elrvjaWDMJvPSvdfD/oCAEMKdRNwtWoO5lmJE0TuJgolZuBRh2UzTt3/hK1//6Omnb2+ev7z9Kcv+7rC7vPjKR8+moRbhWnW3GVSlAoFQFiJyMxkHURGV00kjgbJpbG7zaZ6XNkuXUjzMWve2UCkiKqUQUXgEg4ma4e7VzXI8jo8fLt3GWjbT4BHumMYyDaV1b+ZVhUDBUBFSsYB3t+3m9nBsS4M7A5Ios2qqn8OCVa13ESnDGL4yGalAivbe2zKTOZi51DqNwzTllwKwLA2+zlmX/Z33FtMmWmtMEBk2mmoPQTiFqGoZyD0IIYVBKIOIMkOGgYiFhWsVLSJShgHE3jsTh2SnoUQUw9CXhZalE8EIwug9QAhWkINWVVfiaU5ETCJMxKJaKouyFmIOCx2GFJ97OKuC2d1LUo8DIhKEWgt8o7X0fkfd4RYRJEIBco8w7uaBIBa9fLJSH3K4vKo7JAkyRBRnFQhW/SYH54Qruxd+p3tKfS3irGZIOSeXPh8oglbKNFiVA919JTb1lgJxESpMQy1Tkc1Qh6pD0aEoC3Ggm3vv3q2buYdbt3AQhZn1ZksjIhFlVWZmESkqWmod6nbz5Mn9v/PXfnU7DUu3WofDaTHQx1997y//8teEIaLjWGpRgIZSai2JXmcCGWoZikxDrbWoiqok5LzKw4TDjES8dwLKMKim/iEiXESPx1NfFhUupWym8Wo3Zfs31qIqvXt3q6VsxkpMIjIOtfvqLhDmTNTde+uxKiGTo+kZ2aMtTFSmTalD6qSEmVWLipZSx8k9tJRSh81mu9vutKrUGh4kYkGn25voLZjCzE4HEgJJKXXcbIjJ3a2be6z0OeYAsySPVbkWKVV00HEaNrvNxcW42QzTZhins3obzMKqWqswaymlFtFCxCvZU5hERQuzrPP7JNqIilYutdTKWlgLi2odhs22jiOXIqWyChCc0KKWh4/uK2Hp7XA8ici0GZkoeTHWe7dmpxPcIULMAfKMH+a8cndX8T4isZm1F/azqA/MHAT2ZFl1dg7SFDBQb8HaOZVabhKOEICtMyg8ohKrukV4B1dvbks/Brp7dlMCmlsXJmV44d6aSx2LliLdY25WqwwizHTDyFFhOi/4qTtxMLHwsJmyIqPM2kwgFuY61HsPLh8+uldUisp7jx/uj19sNhORXFxuzBqYWHkcBgpn5lrUYx3x90aEGKfKGJa5td5Oc196n0/LoKpJqGyNYijFVXVZFnh4eJsX651Ecs5FHI8fPxyHuptG8wBCRRaz5egqMo5DKbL0riJEmE/t5nTqzcbCpeiEMPeIoIMEZnMPIjdHa0BIqVKKlKpSRakvi6NkMVGGwbtF72AexnEYaq2FmMyDiZe31/10BMh7D7cwA8LdyjhKKTlDFLAU7dbZSEpNNWJC52DK4fEwjNPl1TgM425LKTG2RNeIlBAhtahKUjtF2M2OtfJe29LcerhTwOFiZmaRqAkgw7gybpJcqcqgOgxlGFMkZEuDA8ph7tYvprG1JRGZ3prylqcxAqd5EWZhacTMcBbAISl29+AAueIsGI1Vy8up4gukDFnOI4u0CcgaChQ9IgHatA/ROHP1UrDYWQqJMXFrPG6jd4/woKLSPaJ1EC1Lr6WyylRLDoopEIGhcCl0MdVmrsKD61RkrDrWoiJzLaVIrbJsp9NpmU9zYSZmcz/tjxxOtSZQVoY6TNPlbvPB44ceUNahxIN7OyZ69fZuUH319tZJxiJCcGIQzc1yTi8iTBwR5q61XA5Da63o6e5wstZ5GpZuG8CKtFqWpQOzalnaYq27GIuMm83u4qKHP37y+Omje8xs5mZOxIt3EVUVMAFxOC4EqEot4u4CauHdwcIaMg7FfUJQ79ZmJiKtBW4gME29tc04lloZKEVwpsGN43g6HnufpJRpMw21giCqMI+lebJl3YnV+0KIEAmQqGit1vs4bWY+rTgIAkwuTFQhLMxcKjPVYTNuN/fv3yeRYajCfDotc3RWJc4ClEVVixSRyJTlXoc6lHo8nnprzOvBczPvZtZT/SNapOgqjUt1BHGCtnUczdxHn08naz31AA6A5DTPHja33j2GUkrpy2nRqmXRPg7WOoN66zCnJHCCAegZZE3BM4M1EeI0n4hVieI57k1hrK/GKbZKVgXkIIeLrJkbwZ2NSMsAp+hdRNEb2ty5YvZpMxEzEGWdE2M7atLQi/DFNOzGMqgMVTcjDnPvtQxVx7FeTHV/am9v9kvrJ7Pj4bQc5+7R3U7z4mYUpOPQe2fh3XarReswPHlwOW6GebFB5avvPXp872K7fdO7mfnSvXWLgDCrsAepsKhwKK0y02CCigxFiggxi7JZHE4Ls4CmZVmO+1OAWLjM2rvR7oKZhqk+efpYWC8ud4Avi7VUZFNOJpgAt2itu0OVu1lE1CJV4dDeDB7KXEV9hCNx5WR+0Ozu5lCCiPeu41hEmAupmjsT58xlmiauKszCXLWA5fnzF3c3tyuuGCEq0TmHKqrFzNzMiNyNhSk9MEQFoeMAJlWVWopqGadah2EzSqlMbOZCpKpLMy01sXwtRYQzjpeiRGRmtdZxGsfDaZ6XWosym3kQrC2neZlPp770JKgLSyDqMDIzhAGUWqdp01oDUErd395ZLOM4MSVhmtGj97bM88V2IqFuzo3NWus9ZcaGIHf4WX0TUDoPHt4RUZkVbhHmFsSC1SIlS/30SkpCn4R1IGAUKSZzRJrhEMGIAWNhUfYIgdZqrfmyoI6JDxTmzaBTkVGkCFdlFX72YFuU8uFPRVWEgLkbQRkYy25zbIPK4TTPrS+bsc9tNjvO/eb6lty1jgEsx1Mdh+1uo8JPnz54/9lDDsyIsSiIfChP718sc5u7HeZ2WiwFH6fW3XGxmaahasnbTM0M7swE93FkMJVSjnNrjt5jmWdmHqbRmPvSLi93wzSqSDdv1qdx2O22S+u9eyp5kD2jCAHNegQhlJhaMzAVQVVhpizn+8oaC46YhhoeAQjRLFKYrfd5WUopq46maBEpY+29g1iZd5tRVECkScEifv767d3N7XI8JrOLVbx3YqaM1MOmjGOe+e5OxKrq7smhKVrKdlPqMA4DCdUyMDOIW+vdOhDdIUxg0lrMnUEi4u5ZlmRzObfGEbvduH043e4PTHh4da+1hZiXedkfT8fT6bA/2DoeS/Y4aZFhnMbN5OaUQ2/3aRqB8Dti4VJUMwsJt5Pd3t5eXOxqLUMduvXNxRWR7m9uem9cS7QZq4dEUNqT8FlMCDinqRhiRQlS42Nm4WTGqxgSFO4sq51TdHikxZozcVpPgCLCGYQxhT5EIrX4HO7dwohH1jKobkepyldTfXg1lSL3dlNVTqLDOGphDpSh8UmwR8TiYxW6nEqRu+Msc+uEiqK6hE/b7ciq+/2JCdvtNA361Q+effzVZxdDad1TBt26A9gMZRAaPcax3h5Oc/Nu3puDSZR320FVkqxeercchepKfCDmY2tMq8paEm0S5UoylAf3r2qVeTERrqWYWQQMZIlXMjORMp2WZhYQNo+haHdzRxNG+DQUZqYIzxmDBwFFZKildTOrBBShblbm0pbGyiAMQ91Og6oEjda9Ft1uRnMPoKga6PXb6zev33qEVI0g6mCJMJMyiJZhnIZp4qJr88osdUhbhCCIVCmqWmodg2iok3tflrbfn06n0263A8E9ps2GtIS7MhPxvDTvlqThoN6tH/cHEM297TbjWOt2qvcvpuaVRd/e7EFUhlqGYVm6myXroZvVUnaXW5FiEW1uyWYF0Wa75VJbX5Zul5tps6m7i124nw6n27v9w/v3tWi/MWLa3buK8P3dnZnpuGkesE6kcE9BECGSZcWRPmSrzRvBDMlW8Ah0b124smStmQ4SK+0ASQNLYxZvzowgtu7cO0FpLZtI2XoPC2YB09z7Q63bUccqT+5tLzZlHAcBQeXm7jjVspuGzWSH43KYZdBye5zvTsvSOsKrgAbpwktrrvzgapuiDkQM4zAO9f7l9LWvPHl0/5KJVHgrsrTOhCpyCmeRTeHtABV5ezgtiwlTBFRYVg4gA+BaCOoWETY3A1BU7++2CmKhcRp6t9Yts/801Qf3LgKxHYOYT816zz4iVoU4EBHz0hYzOGAcRbCEmYvy3Dz/H1NVJl6WpfWeyDTMGDQUte7ee3QUkWFX5qU5UEVFhYXHsZaiCCqlKPPSuwda70u343FOPheLlGG01trMqqqlDtOmDLUoR2oG3Jk5pcLJZku83wPerbfWl9bN7+4Oj589/NZ3vvHm1ZvDYe7mrdu0Hb17W9phf1gWS29JLmoRfVlaM1ad597a3YfPHn7l2UMCnZp5wN3qNIxgLeV0ms+CBQqLufVah9PSlqUn735p3ZYYKg9Dbd3mpY0PrlR13E7u7oAIjWPp0S8ud4fjaTkt02bXu/Wls3QuhYjNHb0pvJMozn3AWQC58qIpwtHfdSER5jFH5DiaV/+U1eCFCREhSD2vIxiwHtQJ5FiMSBVuLlpqrRHel3aaeX+y+7thKrSd6vtPH5ccKGl5cHEBwjjULWGoi725VZFSaCiiQsp0mKWZefejUFVOn6lmCA9RKaV87aPHHz59kEaFzDDzQbWqMLHMPC9tEFYVFiXQXLoQhrGIqEq25KAzZ7OJEXSouNkfiEiJHXAQJlq6LfMCEIQ201BVWMQiTksPhwXMQSDSFEqReaSvpiO8p9wses/2OOlx/ulP3z569v5UeOBhbktrxoy8xrVyRCUKTlKC8DJ3ErYEKUWqiBQNR+/mARYq0MV8GoaLyx0RWfehKgn1ZgSq07hObRFMzEzmnsQwCSpTTmXSOsmtGwiH43Gahm98/au/8M2vaeFPv3iu08DmX3n/2c3++MWXLxHQYdyfbq01b70MtRGsNWIWgqgUFWa+utgI0Zdv7m7vDuY+aGEVnE7TZtruNsvSUp9pASnl7rQcDqdSakTM8+we7jWoscjdcbk5zFKUwqftVIdBhBgxqspuEz3eHm6EoVrLOFpbRIqBuPcQkXLvCYkQZKXwxDviMwgea+0vxAVn17t4x7chiRUX4lUuvjJshIiDJZIPstrRAMSqCUzXiGCRqnI4zbXIh4+vnj26evb04TQMwzAMpY5jTb+FWgZVTYEcMxXVqZZprFWlVh1rGWu9vJg2VTfjAMJYy/2LzcPL8Ze/9sG93VZZEgMtIpJcPKJprOZeRMZaqgoTquo41vuXu+1YhiJD1bGoCg9DAaAiRcQi5qWDUIRXw49AUdltJla5d7mbNuNQlJmXHubwiOT+MtM6xqLVI/CsOUoiAJB2veFz6yR8c5j/0R/+9E/+7ItDm4Viu526pdUTOO0BSMwdzExiHqKqqpuhprC4lkJMHlhaX8yGUooIIlhYipZaSymiWuugw1BFcn5Sa9GitWqq1SzRPdHNdqulJGETTEv3qvE//Pv/zXtPnry5vTue2oMH9+e5B+Ljj9777MUbM2eRZnHc37VllqLu1lvrZuEewDgNV9tpGPTh1e5yU/NXiQVMqjwMg9ayHetYqoM203Tv6mJuvXWfu52OJ3c7HI6H/XFZ2mluS2t3++Nh6fevLnabyQKbcQjzpfVpGtNBYV6WZVnMPI1nHOkQGRQh5d6Tlb+YxrnM5DnUciTQGUnKKzhboFAEkYJ15XSG/QXdPggcokA6kax8jbNLBkHzMAgIRVkY8BgHefZg+96Th8JRiwrrqocgZpL8weMwTNPIIq2bqijzULWqlFpUqBa52ExFBcBuM+4249c/evrswT1hqcoivEo1mUTlcjtsqnYLsxiKDIPWomMtIrwZ62aotUhRrSq1SC1aVEXS2ApD0naEI1aodBzrZjPWUmoppSiIlh7m7qvVH5hZePV4To8YOjcQxARe5SLM3N2aQVT219cPvvPtPmx+9NmbFy+vd9upKpuHuZ+Wxbqb+/5wVC3bzUREvVuKH4hlKLpCLwLzIOKlJ5eHW/duzrSO+UiksIQjw1KtZaglCWasmrZ7xEyiwzCms8ZpaeNU/uqvf+f+wwc/e/7qYndxdbG9259uD6f3n9yPoJ99/vLRgweIePv2Zj4cah2YubeeXIbVCEX4/v3Ly804FtlOY3La3L3WOgwDC+8241i1mWktHzy63z3MfV7sNC8ivCztuD96eFsW631prS3LYX96+frN7d3+xcvX9y8vc0oLYBrG5n2el2Vp7i6laKlEEhHmRgGl1Z5FmBkeq2rkXAYl5p8qGabk0TKBAKEkAxORBcJ41VBy5EUiIe9EJcyIursBCGZ0gUSk3rb1Rgjltljv/vz12yJ8sdlEulivwqBVTsrMSly0TcMwLy3UhQdiieOs00DgHjFUvbfbgBgSTx/dZxFPAQhiN+lU1D2uT70wHVvUot0siItIUY3AYjn6zNeecjLq7pQ1DFHVIuIBBqiUqLVsN1MEPLzUVM+nvJ5ZhCI4RGn1S7fuK+0rgpjTvr0w+9kGzdyTbaBMzBG2/Nt/61v/7A83n//oixkUwGFerPUkfnsERE/zMhSpRXN4fFo6mDfTcFx6hgkPgPj6bt+tD6Ugomgx8nk5CZEOmu9sBVtUkmI8N2u951Sog7z1pH7tj6ff+vVv/tq3vnHo8ZNPX1xst48utrenxSKuLnYfPH3y4sUbBpn1opKNaq2jeydqRCwirc9BfpyXN9e396+2Rvzm9tjDu8XlxRbMc4vmp0F1HEoQMdGDq40WXlpvcfvowaWZffmi17G2pTU3ETGz3hZvy3KkFz+7A0MiPv7oo1J4WZaD26BSVWqtd8fj6XBXx43WygdmFheXcvmYVpGBBpd34v3VIzHLG0k8N9vkns7NjEh3oLTWSvPRs2u7JI8g2fnInoA4PQMy+qgwAbXI6nESaM0e3t/eu9wlgTaCfPUGpORMRLhH2vrRMIzm1rqb2267GWoJ90dXFxfTsJ2Ge/cuwWUxpInKUOTeVGrRAKlI92jdQRhLAWEohdPmK2uUTFsrOLA6hRGRCFtgMTdz8/AgFanJ20nfxlUmnz46ZA5iSK5MSDOCs9A6XYdSPboaIzBZus+aj0M5vPjiX/zR55+/vPUWPfyHP/5UhJ49umeGZimEdGZu3Vq3TEQe4Z7uPxHBzXxu5hHL0ubWe/eldS0KwtLNMvmkrQkLOC2pcVr63PpxacvSezOzyDUNbenk/d/9u7/5t/7qd1/fHX/64s3dsW+Hup3K6/3+0dWuCAmiKF/vj81diMx8PhzKOJgnLZCJyc1yjcTpeByG+vDqgoW1llO3e1cXx9ZfXe+XHrWUZr50M4tnj64eXG7ujvPtaXl0uXv9dr/fH80MEdbNI0Bh8+zWRAszpA6H0/Lw4T2Gi8rcmrdOIq211ube2nI6Wm/Lad9Ox7Au5fJhvg3KHJozwjhH8dSucF1Jf3kNItImNq1aKOxdgKfVH4fXH8gC1nQhpdXYyMEIIVEehjLWUoqMtYRHVR6nqkwX23FuRsypkvGAeVh4JnQCDcMwlgKEME1DrSqFeTONQ5FhKNvtuBnGpYcIM0sQD0O5GjU/vzJlhyvCtcqYJZck3kEirMJFRZgyt5lHs3BEt2jmeZQzhDPR6lupXGS1A1nLy7MTEgLuHgHzJNOuVhK6Omus/ixIuydCRAxjffn5Z5+/NRmnZTmOU2Glz3/0aa3yW7/xq3/7N75VxuH27rg/nGrRIPJuft4t4GupTubR3RNx8rO9SrYcbemx2o/SutKEuJkvrbW0oXN3d7NEAh2OuS//3t/7zX/zt777oy9e/+D5zWH2i81wezjWod4d54txaK2ZR7DcHI4JDx4PRwNES5/nM72MgyLMyL3Wuj8cx7F882sfXR9OLeCAebTWZ7fD3K73J/M4LMuzB5fH0+IRx2V+cHXx5aubw92+nRYWSQ7CSgInYhaz5B70Nh+39y7dIxDHw5ECtdb5NIf50trx9nq5u/H5QAzRy0erWUYK9aOf96nEyijK5xSO9DdiYS4k8k57Ht7J+yrAJY707BVNFI1FI50aUy8Hz36AWbTqUMtmHLo1c2fh42kZFPcuN7VMGdLWMiw7gkxBzMyMiKK6GafdNKhQHepUqwiPm/HhxW4zlM1YHlyMFr4bdDtoSvKFOPORMBXlKqK6GtxxYvScphEcoO5ulrYb0SyauXl0i+7eHRHI+qqq5H1IO/WMwTldD0f3MPPu7pHS9LPJem7lIRIhIvLVtioIGEptdzdfHqEX08X9SyW0u/l0e/fjL15+9uLtn/7wi3/8+3/yi598IMKneSnp9r7+B1pKHvQUyq+BR1iYg8jMe7e8DpIeHkEB9G75AT01GZbbH1ZPvv3h8A/+O3/9X/8rv+x9fnXob/bz1548WJaFmG/u5mbelz4MA2t5dX071CLMN/vj6Xhi5kD0eSaAVZP7SCJFlWvd7LZ/5ze/axEsrCytewRttgMFXl7f7e+Op3l5cn/3ja88/dOffBFE27He29TnL98u3Xo3BFjFlgVuw25n3aybLQsQ0Zebm7vT4WjWk0Dbe1+/o5m1ZTkd7HRcx5J69fic7oF1EQidJThYjR5YV7on8zu/CoQlO+q8ECmt0pnLuL5nUSll9Qy17uHpWbtqVFRr1Vq1KrfWW7MQHofy8fsPP3z6WFXP1UgqnM56PAIxuYe5r5+aMQy1ailFri5393YbFQmiQZWJhyJjkSoSARVhYvNIlxcRkrTGSlOLhK6YkUffVz889+jhSw+z6BbtbGew4jlMzOtaH6yrXVaZnGf66pHNa6w9fZrmpHAKEUkK5neFFgsPhcXbV7/y/kfvPbzalE8eXz19fDldXhwP/frN9ecvXg1Vnu9PH7z3FH1ptubdBIIydaXtABGlS/BKHsZqrR28zoaDCQQzXxdH5bVxeA4wCUw09/bf+Kvf/jd/+1dfvLl+uNt8eXP81gcPC8XP3u6J8PX3Hwjizd2pO97c3t272BShl29vD4c5Odt9WUBY5f9tEdXt5YUWhcS//2/9jYcPro6n03YzWcQHj+5ZOIm+fHN7OM7u8ert229//KwOw09eXT+4GB9cTEPh09L3p2UYh6U1dx+GMu12rfV2OrkbRZL6OhB3N7dvXr+6vb159OiRedzdHVKhPs+n3pbwYB3JPXeQBAWt5harM2Mq8HNtjnjOhJIj6EYw5PIaUCRLBWtZwIn/pJJfFUxKFDJEqWyWatCUqYMj7TuX1tJAcV7Me7/abS63u3nphCCBMMVZxZhru3KxlYr6aqiF1n0zDNupptegeQhlbwklcYRHMEOZIiBMADtHpEdTMvpyQwaFdxdh9qBw8jWG4mx0vFoLMFGs/tBA2LrQKBBk7ggw2M7jlOyjlNnXbWEkQFIIu3md6rc/+ej7P/j0zfVdKULOTiRVGfH4/vbB1WVzn1s/gS7ev/dkW1++vS3TNA36V37xK7/3wxc0bIc4rOADM3J+x+wRheP81vKJSZCDAgpZqyRSgiVY5UCPcGeCc1AwCCo8L+2rHz3+X//7f+/PP3/FUm6O7dHl9OSi/vD5jQG/+MHDq6pfvrpZWr87tW52PC7HeVkW826rM8hKZ2DrnRDDNF5e7K6vr3/tlz/+pa++9y++/+Nf/YWPPnt5fXWxYfCfff7q5vauVF2NuyLqOKjKtz9578l2/Jc//CxR+avL6e5uvnf/MsyC6PXrt8tpBkkZ6nLc29KImcNAsN5ff/nl/oP3edj2buNYVWicNsvp5EsjUU/WCUUH4BScWS8ozZXTEw5pG52+J2tuIKQ50arKTjdeeQdukCoThCgtATlfRF3XYLGwEJS5FAWQdZsIrC8fPbv3weMHrfU4c5XOKm6cy2iPoIxZIGLCpmopcjFNyuLhmct99Rg+r+Y5h2UhroJG6cWV+13ozNs4Y7wewkSQ2Q1nQaowdQcRVDj3N2X8bpY+i9lZenoo5DNJN6ocZypJzx4m0lSDzDoJH07zuNv8jb/+q8fD8Q/++Cc3N/txKruh3C5eS2FiQiiJClprTx7s3nvyoAdO7fT+o6tHF7s/+tnz29fXr97eqEpy79PQ7myxD6xGqjmgZyGQraE9iahkBKbePdBtNiBEzlu3gFKr1uFwPHrEe1fTm8N8bztcHxdVvr8pX3u4+/5nL5lxtRtfXh+r6vXdwQOjlrmUpS2EYJH5eCLC9mK3XgZlKvLLX//oen8cahEiFTzcln/xgy/3czsuFtZ678fjaen97nD6pak8uRxvjr2Rvnx98/Z2P9by8OGgrK+vbz/74uXSOqlKLkwxP/vxEqzDjYHv//EfffTN77KW4+nE7rXWOm3cDEQ9kJsdBNE4LCPz6g+3TsWcSJloDXfr31DauKbsIyvF1NCcRbiULkui5eysmxW8JiCd00VVNTMGb7ZDBB5cTb/5l75x//JyXjpAPTw8zGER5tE9zic7dWkR4az8bDcNqgBnxdrdmYTFzTwNe7KZ8TysDBEiktPZJjKX23m6baVcLk997jmJ3AID4lAmS1PWhB48Yz/FGQSwXB3h67FLwFiZVYUiJDi9c0A5alWiMLe31/v33nv0bLf5ox+/fH87Pb03YV5eaNltpkG4Crm6NixMzaP3VosOY/3+p1/eLf3x1e7BOK6dGvHptAiLn6uxiPBwcXSQO5TRnVxldWbKZ8UB9LBIzmZkv6xAQIXb0r7y6Orebnd7mkfBs6vBgl+eXBD3N8NmkKmIIrZj7cH746F1qsQ2apnZjEKKeDx8dH+YaqJMZiaqOgy73UYF3/jo6acv3mw3Qzd8/ub6zZu71qPPJ2vdzJn4//eH3/utb3+tqHzx5u28NGu9Fv3w6b3NZvPnP3nRupGKqIo0rtrmE0rB3G2ZKVtkd0IcD/vPf/RnTz/85Hg81GEI6+FeN1s3t7nrulwm/VEiVmvo1Yw3rVoiSJk1AmQNfBZGwHKZ12oTQwKW1USChUTXrjg1itEhmp7v7zwarBsRpqFcbUdV/tYvfPD4arcs7d06UgcsonskfaDHeS0dUApfjuPFZqPpBb9iLZFAfWr01z8rG3UgguZuidEG0Mw5Qfr06A3kBcuL9PMNDTmSCGIOB4WFEAeiZzQA2WrwEU5MZOcFOhREzFJrrroK9jQOztqJBSEOUf7yxasYxir+8MFmxzQvbeQoQ5mUqjAx3KkqL8VP3Zo7Ee2NX7zau/dXr/djkTpNeZqlSngUEUoqL8AQc/cOydWO7sqUNFd3F5clrMFyfl9rsXA6e+UTMfWupaZfWot4PA0/fTMv3bab4Xp/PMzt/YeXr/fL/vVREAw8uNwtc2ut77YTEd/ZflunD99/cnM49kSOmdyMWL588/bXv/7eYnZ30Lv94cubI0Xcvxxfvr49HU8RMRYRGu5Ox+evX/36L//CD754C4ul+7QtH7/36LNXd0EQ5k2tMRlH9G7w0KJtIT+3sgDIg4lvX75cjscyTgl49qWN08RaIdA0gSOkCbTltr113eWZGgU3fzcWs4V0DGZ0B0usXhK5Q0fivCKU3GUclYm1uKq3hYRJSrhRRCKP1puWOtTy4N7mW1958s1PntVSRYTXg0iiVBSWp5I4jf0WjyDZanl68bC7GRYhar5YGBBC6/o+AeeSWCEm4u65VILNvKF7UI9wdz7vqv05IzZgOT6LCMD8bNNHLOTrFpDcZONnixiAWdJ0FxQWrkwOMT4nDKz/0z0IOVJwD5w6++31k/r+7F4rl4ha+F4diexiO/bmJEzOEsHiwtQiDvu9Gj3bTYtbeGRmQ6AW3gxT77aKGEwyBPQEfYC590pUVBKt8IilO3mQCJurMoEc6mYr1sDMTepYbg93vffL7ZBvVojm7ptxCMRQ5HIzvbieATDLbtATxalV86jat5vx4YMrUTHzy90OwPF0bKCH9zefPH3AojfXt7nu7zTPRAz3vrRpHLab6eZ4pJnb9e2Pnr/9176Nx7vh86pSpXW/uti8fLvf1dJqXYZ+mBcPeGtE58VH6bbCnDUrhTP4dNif7m4pOkkl5mV/TaIqqmfjdv+52mvFebDuaYLAEdGRnswsZJ1YEi/AqhpLl+2SjsPrgh4VKQUgiSCU5JP0cFEpqszsbkPVqcqjy/GvfOeTj54+8nWxNJ89YxBEwmkjh2Z+7LjaXj3aXLbe5uZgYtJsRYRzEdO6MzqtKD3cwhUqnNK1dQlDVi/u6Zu5mqJ6eE61zpOH3AS+UqAY5LmxIHIlT4bUHOytgtbc5Zj2oRGejA7LkQ1DRRRIlytyMMtmqkWX+5VIx6W1pduHl/V0d/d7/+z3fuVXvnO525567xa5j5SZC2DLvJyO28vdmG59RD1AhLnZFzdHDbvYjBFRVcLMI9hDRZr1EuICIhQRYcoBS3E2oVBJxC2AzuTmsvpNytU0jkpBPqocTstWcVdoU/X+brzdH7///PZ634rypmoRvthUM5sKE8puU1tr02Y8HBewMENZTkTN+9//7e9+6yvPfvr5c1W5O7VpGLqjddzuT27+9OmjL1++OR3nU1vM7G723/vB51uWZ4+2b+7uSqGwfrkZn/PNOGjzerdnFe4RItLS7keVmBGEUijE3dwNbnCjvOHh0a0f90uYpnPGWtXGu8lkRLZLiWNET886iiCwA2gLqQblUsu0rmZKy2MVHgYttTCLaO8t9X5F1cNZ6jgO0zSIiqCO03Bxsbt3dUEUx7md4ef18nXzyOIE8OBT7w82l0+393qH8rCeLnKHMWmh0mJOqDSBx1xMFmDLLVTZEqw96trB+ypDzeyCZknNfbdWdrUoUKIIF0IQw8Mj1zTkts7E3gKAEneOIkyMAMPDItgCCrYYahlqEZa5L0AY5GJTjqc3A/rFZryb8foQLeKIQsPuB9//8be/80vbcbAUp0d0DzDmuQ4txmk8nmbL5W8e+9ZPFk+vNqOKubXmzDACBfL9E6kI5zMZlIUx959vTiLmXMqTTvnz0ok5EJe77X/5r374lz55+rWnF4d5GYtWwZPL8dHF9Px6f3tsp8WOrTPzxbaK8Lz0qZaielh6s36Au8cwVD3MEdhuxx7don345L5HOMvzm+M41LvjPAzD3O42A3/j25/84LPX1zd3Oba3Hj/+yecy1Pl4+sb7j95/ciXM3/vRF+M4bjbD7fF4tZtO89yWJbp1s3Sf51Kjt7QVArPWGu7ee6QdmM9nmFOxNE0AU4IjwtFgjdLUOd230haXcvUNkXIuc8odB6z1DKlRuEVvMU4B4oh0B2Eiza5TeSglLbt2u91QyzCVAhrH4WpTr6aBWVpfO4rIxTLvLFTXHZ7ew2sd3dN4cF0ZQiTJM7Bwc+/ePdd4UU6OqaeeK8LWu52LewjrcuDoFh7vFkJQN1u1QIDH2db+7G+f0FNCPczkQcznnYIRKsSsIqvLd3hwRMCeXmx343hoLb0K79fyYDvOHs38sy+ktXZ/WyP85g7XNycehu9851uP33sGoLc2DANEunU2h3ARGVXGWrsFISxints01ocq4d5bZ2KpFB6SGH/ukeN3PX8oC+duNiIWGkPMfG5mHunGWap6d3c3oiXwv/2d3/9f/Vu/9fGDzeE0s8hOuff+an86zkbMlTnCq/JmrHfr0ms5LjfdrA7Dclo6sNsOUy13t3dzWy4343sX05IwAXMze36z58CT+7tnD3Ye8E9fEvHS2sU00qOrH3/2/POXb0rVn/zks6998PhrHz7t3W4ORwp7dH9ThJdlPp0Wt+h3dzneXotZpmjN+wJmksIs7sQUxhJ9QTiYSFTX5RZC7k7RkqYCpCvMedUsJF1JQxQsbOaeq/yMSAiR++XDui0nHjY54OFhEFUOZqI66FBrKaUOw3uP701DHYZyMZZNLReTfvzeg4tpWuHK81R8bU6DmLkQbcayYx3q2UZvNW+E55ra3EAJF2KnQIQQn6K7RSA0SFZ7d0qaZt4B5mCPgJuvf2JSX/zdaGi9fSBQB5wgBKPVpziXSimzuedOMc3yeS0i0bpbt/uX069+9elYdD8vL+/m68Py6KI+2FRmplo+/VN6eX37i/Ls7ugAyqitt+I29yPzVRkmt5ayxLGIMUWYKJUikwkLu8e9oZr53DoALpqijWDvBgLOt1n+4jgiAkPRoaB6MNDMZW7uCQeHqhyXvixNiRF4fDl+8vhK0VXIgO0w7E+zORKXSy/wi6l2s0HZXZqj1rqYL92GUSfiYF5Oiyiu6nBvM9zbTT97+WoaZDfsvvf56+vj6btfeVZZPnt9/fmb27Z0UfzWd39pae2nr95cXm9fv92T+6efvyDBt3/hK0TS2t3L/eG9h1eF6acRnKwmMw5XLX1ZjYHTfQzuZqd07zmPKNdFtPMMBSF5DZzUyZYoBs6tAM60CM62AkTQgg6md+B5biom5MYhIFdAOyAiDC61DGOdhjrWMkzDONXHV5cANoM+uRwfXg4M3N7tp80mrbfeLVMLRxq/BaR3M0QpfVdWss3q4JI3hghOypIQdvfu4UQUFO7UPIgpERvLlVfrxnASJnUK8oSbsNIB4vzXOhDOjyREuZYj2yYLpAOLRTLhqIOUcw8oZvPdtn7j2YMHu1pY9qfGwL2pXIylinSzsP5ot91U3TA/v56fv70pQkV1qPXy6uK9p08fXG7eHpZnjy6X3nrztzeHIvzwwb2f/fRlb22scnd32p86MzbTMFZ1SwAEEdGMhNjDe7dO6+Y6Ffa8Hh5pzCoRzCzmmSrDvXu493cvPxCjyNUod8dTKUq5O4ExCaswG7FKeO4PYuYYBvWlC6F3v9wOHz3aRcQPn9+elP/2r3zzxdv9aZ4rExG2RfenFuHfePpgIH57OHz68ppE9/M8jvVXf/Gjf/FnPwRou5mOh2a9PX5477/91/+KN7u5O3RrX3n26OnV9otXb8dxqmXebMb5sF9AZRgjd8VCgLYuG3B3t/T2T0IDAAt8+1f/kq77kyPIg4Oc01mWwvNwI+DZ8rmqsia3PgklEQ5K3AVgJlEtqrWuTOJ0IyAaN9ODqy2AVCo6yb65gSBxtOjBS+v7eanTGO9IBWv0zQNO3QPuDU5LezC9GzU5r0sk1x2fFBIwh4E4+Xl8bmFz8dnq1ec594R59JW1v2aDvjYAaWmZy1XWFmFdoROesG8AjGBhAOwhQt38alsjMC99O9A3Ht57dm93fxre7Pd3x9NiMPOkTCbpuirvT8vFphxOZqGPL7YkenN3+73v/flPfvjD4+ntZ5eP39ze7Q/Xr98cv3xxNOHLD7/26pqN28XFCxJ8+5MHX3t0ZcDifjFUYyA4meYeYEaAlWlZiXg5PCRlcgJx1oFUhIsGE+bu4e5Lj3x1KmY+1vLjV7f/4e/87n//r32LGTAXZjguJ7098tx4dgvQZjN4t6Udaylz8+0gF8+uPnhyxdHnFkPZX+12T+5vP311M5vdHhbyWNzfHpaLcbio+uXNabF+tOC2APiVX/hoLMqs93bb56+upcjpdCx1mE8LRczNHPT0ajsqqlCpWgt35WG7mefee4N7qAIo03bZm/clNxKRWYZ1IVkCf/Pv/Os6TkruvhxZB5QSYSm1A71b8B7MNWfaAhJVKSXZ8meTFKW11kRRLdOow8As7KilCJNKIRFWvTv2U3gL3wDmC4tU4Ve3S+tmtn0sJRwGX5e7gNYdCGd+TiAejrvNcC+3FhEFqJ/hqtVSOHc/pbV2EOVM3yg8yPKYr1frXOqc+S+INRuYv9NCrGV9/Pwfkd4H2ZtYBNbwDyGeuz+7N/3lD+//4c+ujeibH977xqOr/bxc7w+9hwUsl+1RLgWBqoxVVfjFq7f/xT/+/U/+5Ad/9sMfnvZ72WzevLw+7vc/+vRe8I/f/+qH22n37Kvvf/vXH95/uF3Af/D7fzLuLr/28UeHw+Erz+5Vpm5pmJuaGOrdACq6CnBYyBfrKwYGZQqEnNmFdHZBS91vbwEiJXJhRfrS4mKc/sn3nt8e5v/F3/u1iHTbBhFtBunhDy/rlzdLRAxFNmPpAWH6+Nn9X3jvwY+ev3p501/vl/fuXVxshi9f33306N7v/tlP/9kPPv3Nb7z/51+8LhxGAabdqO6yVfryzeFiN/y3fuOXP33xppbR2vXjy83hMAfz4bT86U9fvPf4HhjbaZpPcxSutSr5dluX1lSlTLXdtXA4oi+LiJRpayf01pIvm9yn/fXtN3/lLz15+PD/8H/8vynWfGAeRu6JaRILMVkYy0oSW0e5BAK0FGFN6qSogLh3S5PKYZrqOEaAKY2lXJS1lMNsN8dWFWC1mKvVaaCbQ5vNu6nZ4fXt6fY0P7rc5hYJ+wvDfADmthmHe9OjcPVoQpG0TovOJAYnJIjh785uUjByGfnqUIzIwVYuW8vJMiLXgGLlCwnlogH3s/TznUYayPkRVpFABMIc3QD443vTdz58qIJHV+P75eLxtu6XtrQ2dzs1c4cwNQvz/DzYH25/+Odfvnh5+0//4Hsv39z+tb/1td2zJ8M0gfXN2+Mf/KP/4lu/9uu/9tt/dRTflHVpqUecen/4N77z0x999gtPLxbfzks3WxlLdN6NKswpPcrT3QJdcq0VQHFWIOSqJCKQ9ZXyIUDHilskf2KVsTIurjbP9/0f/tc//rvf+fh2njdVQTR3220KHDdHuzsu9zZjjpiL8KP7224LiE8W4Xbv4uJnr26J4pvPHl5upn/2Z5//0vsPf/HDh5+9vCHm19f7i6utWX9xuf3y7eG0LEwxDXVu80fPHn3+/O2ytKHo4XD68Rcv33v6CFiO+8N4f7c/ziC6mMbnL2/bsrh7bx0RUMFiItrbSYBxs3Gz5chtmZd5fvj40bc//PDf+bf/jf/o//H/EmINkeB1TOgUuekzSFikUCFVIWYRIEiLqooqE3NNE2zRUkDozcxMhKtWGMx6SHLnpLuBYMQetHjw3JI2ZhGtC1BPRIV7dz599vZwaE8fXW6noawIZoruocr3NxfuAczMS7D1s7oqBThMkgE9h9irpRnlIGNddRxBPSJzSw/v7hk718VBeQ9yIRrYMz2stJhky/2F+7AiX5gGZcYnTy4+fnjp7selfXg1Aeh94RACCrMp5m7wdEzN4HR68+bVXWv3P3yP//TPD8fD5aP7v3DxYaA/vz58/nr//NXNb2xGPxzv0L1Imu0GqA7a5n57d3h7t1cpKpJsbUGu9nQKOCWFfeWy5BxA+JzsaNX48brzmQlIqXt+L2F2BgWXlbjLKrIZygEo47gpOvf5ZnYm2Y21Fnlze9wOGuatNSEsze/v6iR4e1yq8FcfXXz6mv7sy+vnt/tCsb877qaNiv5nv/unv/VLH15tRmaMg94dj1VkU/i9qy37vN8fi8ijy91p6R547/H92/2xNXv9+vonP/viq+8/enU6/vM/+dG3v/4V7/by9lRrefzw/nFuohoRZibM7r2oRvhhf6uiFw8e3t3t7z2u//P/6X9wuz/9X/8v//Gf//inUxXlXJnmnUVBAgqSbHaZSlEWrYOs2xSL1kpMfenDOKalLot0624LAyTcwyg80keIyc3cwgPptdDd53kBkxGNJuR+CDAc8B3qbNZf3lKh9x9fTbWu4yzOCaV7tFrmyBXHCD/b+Ho2Cmw4H69zsF7PuqcVK6KvWSV68jffgU5nWTozzl7dsW6kCjt3zwiEha+bsCKYqJk9vKrf/uChEpnZnHiqO4iEZOmeWUUMhVfL79aMIlR5e3kxXjyYIc8++Xg++N3d3en67dP7F4z2+OG9R48fl6ksh71OgxMK02qhjKCI1k2ELLqZK3NRyeFfohGyYoBwj+YhzANRerN02NkFDQEOQAhSJCiWZrFq4CiNBYrwKg8qVcm/9cH93/za09v5dFoChBe3+4uBd2N9ejXOixdm87ibG1N889m9z64PFv7kcvP9L27nHqPiux892h/b8zc3y92h9/YnP73908/f/E/+zq9sKo+1tG7d4952mBfblIfbzbSZxlPvn7++u7rc3Nztu/m0Ge9u93/0vR/c3Nwty/zg/lZL+eMff3F9e7Rmr9/ezEvPN+q9O+C9w5pHJymnpV1/+tPvfOdb/8v/2X/wv/kP/89/8Lt/OHEoAXAlkTRYjFxqB5IyJNGZY90mXacpfR6X00FE67BJRnUdxtvbGyJO9Uc/zUw07nYgzuUcFDDzZelaLIOpE1rrjiBoJDP35JEvlemoLC/4k6fH4YEASTjNWVjcHu4eXGYuWkt2IEnPYRHk78J09npYab6RAiwEiCKEkusWaYPhRE5Qyuo/AAihgy1CKCx3NdKaCLKTPE8f4BGP7g1ff3w1iPTezdzNhSHEiQ+ahwgmFbMoSnPv/dgQNpt7+NW4+fz69PxwvBymxw8fPX10/+2bV4sbu28rxu3mcHe8+PolcWwGUUa3Hg5ip+ixzKLqrSvDvSW3SFSEkxH1bsstOCiIOGCeyhPkAvp1+n9G+aqqeZiHsgQjlIryoKwqRZmIheivfe2De4MeZi8iVXk/ym4oi7VdqQ92BUe7OSzN/MmDTTc7tfbB/d2ru/n1fr6ayrc/ePiTF9ddQRGv7vaCYMKXL9/8Z7/7J/+Dv/nrOM1jLW9u97upXO/17TF+9MXrInT/cju+9/CPf/zlYTGtQyy9Fjke2p/+2Y9rxdX2w/3SAxyIL1++nue+zMt8POS2ek/ltJmInOb2+NH9f/fv/4NB63/8//ydP/qDf/FgLOZm1igXQQTVfGTCkjvSvFvkECzClmWR3A5CADpmMPfWw2OeT/PxiGR9MsFdSw1QHYbeG4lAJIVIh+MyNyPiELLwaGi5/oziSLH0XoRHlYdXm/2p/d73P/v4ydX7Dy8IKKrjNBDR4j7bPPEAUE8sbx1Q5W49CNFq076qq0DIhcg/X8hp4Z47PAFhCskNZ4iIvAN9hYAQa+ogC4cn8Lqe/sC6z/Jb7z1+OG5ONgtzCy8qVXhu3cK7OxNtqprbWOX2tOz3pyJiJtuxgPj67jjVujsti9o//ewnF7+vu1pfC8tQ7q4Pb7788l/Ob2xZem/b3dgdwzCoaBn0x9//4Z//0Z/+rb/5N7obB4Du1ru5RQAxDSU8erc4m5klsJuIbYAoBBSStJ7zhI8oVDiCiC0H5iosIoNKUZ5bf/r46nJTu7WiMjc7Ln1UVmG4vT2cNsPQojfzx4RH23p7nO9tN4fZX9yeLjfl0W762eu759d3Ef7mZr8sxkzHU2PHf/39z//TzZ883g21Frf+YDfeuxgWxB/84LNXb97+d//OX63Kl7utvLy5vt1vp+pC+/1xczH81l/+djd/9eamsNRajchai977aV6914kyF1vzOo3/4//Rv/dP/snv/ue/84+i982o3S3fqEeo1JGYw42JailaazC1eUnx0jqEbQsAFqnTBhHH29syjDrU0+FAIgh0MywGWoVvXLQW5dx9VKs5TscliFS4915KAaN1K0LW7RTBTF3E3Pnu1Bx3y21YDByjyNF8s6lf++gZcRm0ZsXif4Egnac5Q1ku9QvA4h0PYvWVsFWbG83Wd04BZaSc/OdAat4T92ZrjwE/z4NT/wliInPfbKeLul16Awwsi3s6fdZCIL49OAmIwgJvD6fbwyEiDks/nBYDXt/sX709vHj99rNPv/jeH33v5edfHPaHjz54b3fv4v6Dq/3dYXO1+8q3vz7c3z29enCxnQxRhW/fvP380083l9Pm4dV/8h/9J0+ePXv95q0Ogw7jbrdVHb78/ItPPvnKhx8+mdJa2QPoab0czJa7piMIydRABDiJ5Y4iTBRiUJHuLsTMxMIgauYfPrxk8sW8iBBTt7ichqnQl29nAp1aa92eXEybqodloWnzk1e3Hn5R5e7Y/vTT11++vbu+20/D0C32x7kW9uSz9/jsxfUgj3g5KGIz1Le3xzdvbiOwGcqjq91/9Yd/Ft6+840PX1/v7+5Of/qDH+8uhr/9135NSL94df367eHVm+ub/bGIHtyy+PTemNGJZo+Li8sHDy//8m/82qu7/T/8z//f28Khxc3OJnAEkNZpCyZvC4nUqpvdziNs6KrihNXqHhTmPFTWQkw1IEW1VOy0dcvm7ryllJ1ESiWiIDaibrAsUigjEjxQS/Ho4S6MIsJCja1XNV+O3S820+dv91PBk8vtodsX14dpGr/x4cete9CCc0sYERYeICEKh9OZdxkwnCHMWMUuSZzMYXPz4FX4sw6V31nb5cbfWHl/6xrbrK4KJ4cMEYDiFx89rKQnPwxFsiifmM28mbv5qASy17fz9WE+nJZEjYpKrQqmX7z//u3jpdmH9Td/7V9+5zv/9J/+8//eP/h3Dnc3S+ubUq4fHV51/eCjj/a3t9/74z958+r1m7vDMuP16ze3129E+jjce/p+3Hvv/Ucff/Lg/sXlbnt/NxVg+td+ube5uy/dPC3nRMLIKdKwwlenDySRO6EeCYQQMcSjC7uHOgNQkaSvOvNYZVA5LM3ctlWXvlD46eREUmStRC+mYX/Y383209eHH7y8XpbGQW9uDkez42KF+fmb6wDXYZiPh3accyr/+fM327E+e3Cx3ZSX1/vP3tz+5IuXd9d3LexnX7w08O5y8/X3n/3gs5c/as9d+Ne++ZW/++u/9P/9Vz/oZvtTq0PVucFPWorNc9FivS89ru7df/LeI1W6fv3mfsE/+a/+saTawWx98UC4AaR1u6tF+3IkoqGW3cU2fbpqlXEc2mm+O82H/cGb6TgRI8xktx2GYXex6xate5+XQJxa660zs5SBJJeuJpvNEkhx9w6IiPXVYc/MFZiFStGiHMgFNBzui8Xz2yWtySLoxfXh42fkDnAgnJnhxoSBJOmWAFk4g3pu96O1aIlY8RucFxIqIduRHAjkSq7FPLFtUxJHEXEguUkiLLRy6NMbZiqy24zvX2y7L4OWiD5bn7QMRSKciOalLUsPlo0yETbjoMynFre3e3fri332s+c/+NmL3Xb3/R/++NXN/Pz1zf/u//R/nw/zp6+uZbO7e/HKF/ud33Enstbm/d0w1t37Xx02V+89e/x3f+2bB5Pf+mt/mczHsXaL493dm5cvdBj+6Ps/NKZ5f/jJj372/ocftdZ+6Re/vtsOkf4OZ2AAQJI/zVddG2XCJBIPilSiYijr+iYi/umrm+9+eE+FTksbRC7GsrTOxMoQEAkdW/feW+Czt3eHefnGk6ufvbz5ycubi03td6fPb+5gWKxZ9qlA6x0AMcpQXry92Y26GfjNcf785c2b632l+Pi9R/cuN9/e7n7y4vp7P/785c2hiHz49BEPww8+fXE6tXEor67vHl5sr2/vem/CMGAJbK/u/cqvfvDk8dUf/sG/+tFPP5NBVcsPf/jpwFhBbwR55H4yADpuL6apwjYMH8a6m6ZuDtaLi/FiGkalY/cvX7zp3YehENP1zR5EV/fubTbj3K01PxxPIqqHw+HuoKWWcUxMPnln1i2d77M5c1ntTHKJmjNRz6ojAp2ZS4QTHeZeVgldJ4rHy5UHu/dVpgZflWuE8CCsIwBfx7c59c2VTmeF4Bm/zA2H3dxzfSqhezTzobACAKPQwgFCEUFAdV17y4RmMVX5+MF0ORazhQVMfjc3Ja5K17d3b69vP3/++u3Ncd/9J599EaRvT/b8y5fN6fPPX97cXk/3Lue745cv39ahuvPt69eX770/7/dRb+u0iRnb7bR78pR0UOb93fX2/uNSyHt38+PdYX99+y//5PunwB9974dLXy43m/3bNyf3129urx48OZzmTvxXvvXhb//2b9Rx6Ba7oboZE+VchXMzBFLuEUzIh0DM7uFuSiyVikryCF0iIBvQn3329h8Sfv1rj4W5ewhTUenm26H0NCFUeX13AuHZvcunl/6j59e3x0agH37x5jh3Djouc0Qc54Ujai3DNCKi9+bmTx/dJ5Gfvbp7/ub21O0rz+7/G3/lW7/yy5+8vJ1fv7r73k9efPriNYE9bF7aZ8/fvrq+u9xs4Fhan1sbmFhVIj54/8nTR/cvtuMXL9/8o3/8e8vhjpTrUKOOHvQO0j4vWnCQhLtCx0OzqsPlVMexsuY+Ih7G8eJq82A37Be7uv/g8dX23tX0+vr4w589n5dWazXzZmw2E5cAbTY79ySEqHUHce4R6OZ+vgARQWYi4iHuYdZzsLC0XqGt9UXYDu7uDy6mKqSnZHfztN0iIqKv/KBY1d+rKHEVfMW7U572JNm4n8Vhq8AtCIWZgVx83j2aexBm81KlUIoDPKkuvu41wdJMldP34fWxq9BWJYGUQTX7i8++ePXize2p2cXl1XJ387//T//x7fVelRnFpwmET375k+V4Ohq99wsPPvna+6+ujy9f3u4ePzy8fIOiWqd2OiEg0Qv7g8fvf/GZK5OKujsxx1j3b/b/n3/+p5ePHtM4gWWaddg82V1sPvioCPGTYXj+5Zfvvff0k6++9+WrN7w6UmbhR8zviCZnUgQgiWchxipVq5lXLYelBQWBbWlL64AI6b/6yZtufn87fPRwezXVorw/Lc3AZ/3c0exiU3daf/zi7c9e372+PRxPrS19WWYiDuu3d4da67QZ725ud7uNVLl3Ob3/+Koty13465v9g6vxb//aL3zl2ePtWP74Z6/++Z999ubt4YtXb1+/veVAd3Prb16+uffwwas3h4uxEujlmxsW/e1f/5Zbf/36urf+z37/X37+8pXMi1DMp+N3v/PNL1+8OO33zBJ9zmYPAXgPViD09ubAVZo4i8ogZixgFb6Z+y44dGBr97bDL37y7Fe/+eH3fvyCiN/cHXv309JbnJYeIZG7Bze7XToftO7dzC3MUru7Gs6sTurJpMTZtTAAlb42mH0oZWk+L9aKzs2uLsZvffz+d7/yYbMZZKlwQ4Izke0pnfuBtePNIe1Kdlhnw+9InavJIZgZ0d07gIAQzRY9aFs0uglzmgqaexE+NWfmHJB4BEUcu2+ruhsTT7V2t27Lx199//0P+n7u0zC+ur27//TZcLGUqnXanSI++OjJN549fP72Zqzl7ubw9HIch2k2jGgyaLnYgRUjz3PTkNub64j5vY8+vLm5G7ab6nY6HlRUWYcy7C42l08eXj647xbNsdkMEf769rTYXJgO+wPcOSCigEl+U1tjRNY/IHgEE5vZZuCLzVi1eOD2MA9VS9UXN8fjvCir/f+p+rNYy9Isvw9b65v2cOZz55gjIzIjK7Mya556Yk8i2aRlomlZogUClmcBgixYD4JfBL8YsF8MgX61AUm2JT9QsEE3KcpUs5t0dxe7q7qmrKycMyJjuHHne6Y9fcNayw/7RJFCvmReBJCIiHP2/r61/v/fr2f+odJK/eLpQkBGhf6Nt27d358woDB0MYnAOsTb81GKMVJiBB+C72LThT5mkBKlRMIUQwDmRFQ17a2b+w9v7dVNGwXq2juDf+t7Xy2cagOdLdtPXl6fXFdX54vILMSr9TqRiMIUQhcuhpORpOSsTil988tv+uD/4qcfXZ2eZ5lpW5+xoDbNZn3vzg3umg/f/wUIbU0XTH3OCwAgeQEwIXiHlsRuqg6UKbIMkHTUWZl5hqvK55kDY/KyGBXl63eOBPCDJydV3dkQjTHGhaYLnY8kovsmFAgmkk4SxT5Nyb88gfSDTxAWBgCttYgwJTCKmJVCSgTGAEiIySeVO/jao1vfeuNe50MvI0NEBo7cEzyRXx1qt5fiV4UefrW07XOdRvXkQHj1NOwjcX1ERwDRKdQGxrnVgC1xrhUxJBFrdP/N0Qp6nhcgtkn2zJbSxSzMUWttlO2Vxk6pGOOzl5dhUytXGJWbYjBX8qX9yenL0/Gk9ImKTD84nHx0vJyPM4e6SynPTV6WzGm9bHIDHIPRemc24hQHA4eJh5lpfaitQWHnwFHaLxUxrqs2D9wyHOYKjQ5VVm8aJYyAVivZpkO3riMF2DcfFGAkjpx2Rvn9vUnl06KJmdZ57jZddAoBIIoIUWZt56NPKaVolNLabLrorGt8YsazTaOASmdBwKkeKcSl0YWzWqsUE/Xh6raJ/RmXkkC/Gmoyoy+Xm5Oz6/lssqrb3/+Vt3fGOYj67OVpYPRdLLUO4/x6sdEKykFpjUON63WdZ3Y4GiyvlzcO59/4yjs/fv/zTz77DJJXTEKQupZC9F04OtgdDvKPP3tsTKaYEPhVTr23mCKAoLBBYYmRAFCkaTyAUggu1wViiOS1y3OjtFVKJ8FFEx/dvYFoPn524kLMs2AybxsDVdeGpLRh5v4JqpXGPn3cV9yJANSWoqm4Zzb1TmallAg4q41WCkSBbMmqAsPCJYFl3WRaUV8n7wvpr6hsClHjq6wn/FJAsf1PeVV56RPVLNJ32wWBWQKzs2aaZYVVgBhS335EqxWxaK2AQSmIxM4oRb1QXDRiEgmEGrSgROLE7ECs7g2l2sc0HZWrqqpjKjIEpZP3k2k+cnA50Hf2B76To/lg7JSiNHSZtTYjLnKb55oFY6PK3E5T6dvOaRnkFijOJ8PQBoHk3AAl+XatjCoza6wMh1OL6uS6NqDarp7kdrVZpxQ1Ym/+E5HI3D8FUp8oUv2Yi+7tj/cmAyJJDOOyqLq4alIbkzArwCJzwUdmNlr5lFIiNFC1/nBnuDvKG981gerOzwb5sonXdRgYvT/JG598SmVmhoXtgutCWl9V3scYo4AopWIMQpxSWnc+giJQbfCzofvyazcR5XRRJ1A7o+J8VYPQ0Fg7myy0VsbEmHwXbJ7pzC6W64T49mv3fvzzTz/69LGGFCMxS/KJkjDBl7/0el7aH/7gJw/efv308VP45SeiB/hto40IAgYASAhYsdIpkQ/RGuMQtDLEKjEwojFmVGZtpGdXdRvl/tHuddWeL1eolGgtShNo2jQIkGIK1JvzlNqGNqV/h/bhHWAGUaB1XzjvKzz9XrKnpaDWgoBajNWlNfPSvcowSz9ol1dZhMQMAKb//8CrL3c/3eMe8bB98fySqwUgWhAFEssoz/aHRZ+VWHUhEBXOWoSKpAqkFfWGstLpdRO7/tOv+jcOIjIJ4ZYehrxV1gNsqzzw7OU1MWbW5LkdDN033th9dDDSSDdGWWPlxjg7udw4BaNMlbmuAhhFICFzRZ67RGk6Lk8v11VVjQduU3tnrW9bEHQIGZLKnNbKM82yIkVw1tBsIInHBWy8PPvi/OLqejicyy+HwswIsCU9ioBAZB4U7tbOdFW3SqnZsDi+qq5q3wQaZoaZiZljTwilPkZBzJnw1x4c3NwZ1V0Tkqzr1Hl62qxHZbZpu+tMzYb58aLadP5wZ/LsYsXEFFIfRwEWJjLOcowpRhF5/vTlzVs3dG5F6G9/5yvjIrtaVwrx4cGkCWIU3t6f5VYvKx+JrzeN96FZV6SVcaY06o3XbiGrTx9/4TS2TQTm4D0qmO/Obhzsd1335z98bzqbGVSr1RqVFuo/G1uICVJkVAhoWFgJCjFBVEZz0mA0AtCrhSgg7k4G9w7n55tw3YQ6cuEmD2/utCEIdD6xs85lpDtNMSmtUREnssaIYwBQIITIAhKCAL8ayPUizT53bjT2+GVtjTYaMw2zwk0yfe9oejQfKcTEtOVhQe/tABbqs82eSb8iO/a7Zfjlw18ERPo3zC/Dpf3YVGnYGeQaFSJXPmhUuUGnsAnpou76HnQk2jVlG2jjU483VAq16stg0selNDIoRCVdiLwVhwCxnF1tFECRu+Eov7lT3p0WdehspktnWaJiXrZpPBpdXyzmA1spIISRVQSUa7VqyQystTr6OB6USpq2ribDvNda5i4vMGurql6X5d4s6pQSjwqzXjeTQWHzdJpnz15cvPPOXvSxbzUgIm2NvJCIWXhYuq/cO4wxKW0mZfbiquoSiUBmtUFomX2kHvUVIhGTFrZGfvdrr9/a3zm+vIyJX153Z8vWGHWyrI5Emtbv3tm7XFWrLuyOBo9PVk1gH2PVtJQYURInQRU6j9Krj9n7+PLkbDgehRxv7M9TpESyPxl+frr46OXCOb03KNq2XTctIJRl7ltvnc20ghhB4Xq9SVEhqBBaJmYia8xoWMS2fXZ6cXr8EkBGo+HJs2ME1SP8BRX2TkzhrU9WqZ4Q37NdAYh6uBsgCrEgMMrrN+d/81tvXrfdFxebZdVpje9z+u5r+/ePdj58doYmURe10pkxHQMJ95cvBGAyxAzoEFNKCRQibT+g24ya1oiYW+2sMcY4rYxWuTOjQT4bZIdj99rhHAWZibdP8f9OD6yv50YSgi3/BxAFRffN+j4MAKBenZBesZrBWL0/KkFo1XliAMCUUhPCsLDrJhJLTyaKRMQNAPb9FWLoj1OTQg8zg4gsDCBWKQGMClMkFtFKr6rm8xfnvU29dLg/sHuT8vS6HhmjtcktnKxbr1Wu1TazInJ1tZyNjoACquS0KKDZIO86r8nvjRwAzQZGOPNRNimypI7S2YuXO8NMG4WAezszKAtEHmh9+2j39HL9zqvh2C//KJKIMBOzj/GNm/Npbk87Pyjy1seNDyAyzGyXqAnRx8QiISYf4o35aD4urpbrG3vj12/sffDspMh1BHu8uF43XRuo6ryPhMJKJCaaj4r9yfDnX5wLE4kKkVKIiVJ/9oghAJEo7CFKwUeTmq++8WaW2y6EQZGdLOsPTpddCLPBYJDpVSXr1hMABTJGa1WuV8t8UKy79lDJumpSjBRjCL4s8zwvrk7PPRHARpi0RVdk7ctWqZ5ftUV+9uAqAYaesamUQmbUpge2Kdz+owA0aGPM3Zt7jy83f/HpcdvE2gdUarFpBpn50sH48dki84QqgiRrXeyJDoQomijF/k1KHFOiEIToVaAABUSjVoBaKaN10TPOEVnEWp1rlRm8dTgbDXIi6pVNIIAC2x0+gH7VVe8H+f0PqSe19XjkbRRmmwVSAInBWTUrM2e1URITxSieRYRDSiFxvYqRt0OSQJwA1x1NCtsL67fVMwXLVp4v2jvT/gWCShniqLd8YHFGf/7y+vTialAU5XCwP8mnA3QaQeIoz3fGtmvV1aq9PRmcXF7PCvPph59xZM/08kRZpUSrYZHluXbjfLlRhVWTgSNQubOHU316td5InA3K1EXNoasrZbRvgzbmxs6060ISujEfv+iauq5z55j696QQMfXk5y0PQbGwMyaldLlpfRRh6aJngZjYaF11oczNu/f2J2X+ctGI1rujsovBZRaU+vTlYtOFOqTWRwG42rSF012KeW5F6dOrtVJYZrbLaalVjFG29DxBQBIYDUtETCl+/Z2H3/ny3d/7+tubutLO1IEvq2aYaRFjrRlk1seUkkjixISIrW+1y5rWs6Sbh4c//cXLzLgmdLPpdDSbPX/2oiN2eRGWV9yHX1NUr2xD2wHodiG49QTDllOvepGsVsYIoDUWEURpFh4Nyul09KNPX55dV12XiElbnWnz2enqrRu7kzK7rFprtNJKG51jFkIEgBCSDyHGxMwxxp7WhKi2V1XVy91QIWTWuF7UTmw0ZlZnCgaGb0yLW/tTY0xPxcJ/Sar7lxnGV+eafqsj1P/GerzLq0o7bv0yIgDW6r1xMXC6CSGSaKVQsUXlEwmA0Vj2JvpASbDySWm16RIzCwv2sHiEJOITB5bAbLamrxSJYmKrNYIoqz97dtY07fxguDsrbsyynckgAkwno53RaKjkqtrsjgvPWAxHr+1Mbt04+OmPfvHFz9/fGRT7N26tq03wXWZxPN5C74rcppQMpKJw3cCtN3rTtiZT33nr0Vce3X92dq4Qvv/Tz0ZOz8ZDANNZvs7dZr0ZHu4nIkDo2dT9fEAYomDTxcYnBEgpxUTCohQ6o1pPzug2RhD+zsM781Hx0ydnVUjffHj7xjQ7X60V4tmy/vzksotALD5EVNh0QUiFxNrpugsfnFy1QcrcLTetNRoUIvWgAoox/vo33/zt771T1Z3RmFtzuDNpfSPAWqmqC6uqiyHNy7z1vnM6kWitfUgpRK0BFQbfJUqv37lRmKJuu+nubAenTV2dvjihtsmKjEMQAMWcQuh/+8w9lRll68TGnp3djyaNMqZ3p2ml0Rile4mXyfIcjf7Gm7dzrV9eruu2811iJpM0WxsW9Oxq8/rNvadXVZGJTxx6KgEqawwRS5+2SyQiqt++Yg8fYoVKO2O1zpxzzgxy1yv2NGLuXJG5+zd2vvP2relk0rcYmaEv3PfPeGHo56EIkFhAQCv4V571wLyNOWwLA8DE4Iy+PR+zxJASomImpaCwuvIUCVhwf5izcCTsEBLxMLcX685H7nxCBPtKIeMQbs/K/ZFTCnuXhGFWqEChT9EozSyfPTkW5oNp8cZBeTDNM60tqFFZpOhPg7Gj+agoUZliU1un66atmvbZ5y+++uW3/0d/61/78LPHH33++Cc//Nnke9+sV2sSvTPKx0WmFBaZNmbUhPTZk+ch0Xw2fXBzfzrKC2fHZfZPf/CRsNw+mO9O7PVqvd6sb986woicenDdNg2FCh4dzW/tjBe1T4nyzCKCQmGWkJiYFSIl2h2XGuFsuTGZOxoVt2fF5Xq5rNrnF1UEbD0tqg4ZEiUGDolWa//8bDkYFpHgcu3PlvXOMGu6TrZQfmaRFNkZ+Gu/8vbDWzt121mtL1fdwLkQYyBQSBfL2idpAx1Ozc359Ph67VNUAFbrTom1zse1s+bRa/c5NE3bCnBiXm/q5cV5il5AxPvQNkwRiIy1jNi2rem5Cj38YbsnZVEIMfXPNVRGbwX2WWatBQSXO+v0N79899feuvOXnx4vlpsYYowxxuS72Hah68L/74OnoPSXbu4Qc+60y/oFKxCR9HEdBEaQrXsFUSttVJ67PM+GRT4Y5EVui8wYDbnRVqsizyzKzij7yqNbt48OjEat0CrdU/xfoXd7Aga8OvX0XLdX/w7Qa4JQ4e4w2xlYo6CwOrMqd9Yp1QdCFYLtBU0aWJJC6bE8gaDycdmERLSouo2PMaXEIgyBJLL4RJOBuz0t1DZrifCqWmMQtTKR5eJ68+FnT3dmw9eO5nvjIlNqkplBlttyjMXuYLI7n4wHmWMmDbhaVKfny9feets6N9nd2Wxqo/DpZ09/8cP3jr94Ya0djzLwXeiCEGdGzYf27u7waG/SrNcffvb807PVqpNFQ1967eG//de+d2dnHEPIFL9xNPex0yiZtVqhtUprzSws/PDG/O3bu61Pl+tmUGQa9aaNPtKmjZ1PxByJFPC93dH1psmMvjGy9+Y5syfiLsmqDV1ISoFGbGOoG58iex+qpvvzD599+OzyfNl1PhyfXz4/X5CA9773VUqkGNONvd29yQ4STjLXF5G+OLt+crFJiRIlRBlkps9ZZEYJQxfJx2CdGpQDAbx/8/B7X3mLYiTkoszXdVOtG2IxNgMGIEq+hZ6NkWKRGY1KvJdfXnF70rdSfZEKtAZURhurjdFa50XuXCYCxllttMvt737j0Rfn6/efnPk29L5lYkGhSJSxXITVP33vi3/719/pEv/s8WlmbYgUfBDZkjUVikYFIIzcu8cBwDljtMmccbZvG5k+kp8bkxd2Z2D+9e+9ce9oFomMMTERIup/BVWrAAVB4Tbis6U6ck85374BRGBn4AxKEyC3epy7JialIUjq6XY+kU8UE/c1yINhnphDEh950cSqjblVkVgDiu6daX3ZBqyGaWFIQLbjlFdfRcbEDKgY8LNnJy9evnz4xsNB6YbOFQ5MPi5Gu4xIkRQKslRdd7luOp8SycHBwf6BmRRl7Py68xHx+em69d2nX7z41s5u9NFOhkK8WVSrxeq1O0e3didtTC+Pzz767OlX3n1rZzI0iFd1mw+n3/jKbr2qTy8vDieDF2c6dH42GVmjfKJNEwDknXt7k8Itq2bTBtQ4GZQfPj8PibqQukTAoLViYaPVdJiXmel8YIb5IK/bJhIwy6ObO1frNhGvKk9JQogpJQLJjHlxtnx6dv3dd9+0Sgvxyfki16iMxpB6RAgCf/udd+eDnZELLTUvr9cbHzZtfHy5Ph3Wb93cKZwBjArhalnNCrtufNvGyNC2EZjn4+HZ2QUSRcGvPbr/+fEVMatETIGFCJiIOCaEvr7BTBzaBrYWC9iSzAWAeQu+RQCljdHaWmOzrJ9Naq3yskCl3rpz6JT+Fx8+raqm9hGYQ0rbYEGUGMlm9uMXl3//zz/43us3dyejP/n5Y+lP/z4m7nOURsx24YZ6O+10VltrEcEYYwxqpYxRxqjRMMuM+tobN+4dTpkEkPrNmAiAAnrlHEIExaC3iWXcJne2gPb+h2CNclq6QIhota5DiCSzPNeolIZN10VOCtAnrjzNB85qVXvfRTi5btpEkSEQmS2UDrRSLKxQ9TXIncLCq72EAKDCSCxCiCqlqIz52XsfRZadyej23mxvZz6fzgEUM/VPhBCpDT7P3HhQahWyzIUYq9iJKfteLXXp29/41sc/+sF0d54XZdfWTy42//X/+x/+D3//v6dE/tO//0ev3zsohsXRwe6Pfvrhi+OTsrxvFJZlTiksUwSjx7NdDk2JcHp29tqtg5SiRoWlu7s32BvlyyawQJ7Z2ah4frGsu5SIQ6JEohFE2Mc0nZXj0jJx1cVhaVL0PqRl1R5OB8Dw+OTahzQZF1fLqgtRIZJQnjkBvry8/P5f/vTG4YHTqkopekJKiSVFipR0Mfrao4capA7x88vVy0XVJSZhrVTHcraurjf+5HKJaM5D2JsOmtZ730GKZWYmw8H1eoPWXq26G/tTrewHnzyzgJFT6NrovVASithTlUWUtj4ESgGNlj7+wNx74LeCC6W2phVje1Gy6t8UgqiNIpC7+/MX59dX68ZH6rynEJlh+5euAFl6fv9PPzl+enb1v/q9X/vaA/8nP/8sc7YB0Eprra0FjShWC7u+V6e1VojGaiWilS6sdU6VmZlPyjdv7R7NhvdvjBOLVqCVEuCtFKy/5/5SDYAoaruX7ckpDLLdUAkIQOGMUzoiJ2IvEkiMwcJa5uhTchqF1aIJzDjJ7aYJqzoIy7L2qzaKIPXBCqNV3wdg7qVMgJAEOmLX96lQiFhIABWRaMUs0tbdH//Zj7759Xd+93vvTEflznTMqacOQxdjCKwN7k2GjadN2w7LstS4SWk2HZXjUQxpMpq8ePri3TcOJ3v7h6PB0OppMdl0REFrq+8cHv6DP/5pUmdvv3H35OVpbJp/9sd/duf2ISqurvyoyDKnRKRhZnS37t//8Y9+xu++cTAribkPP9VdFMBAdGd3dr2uL9aNUspagz7idm5Grx2MvvbaQds2JBpxa2mOAEqrJsRl1aHCxkfvE3AyRieium66zrdtiywnJxeXl4tyNOoDmJQCR0KBpq6//ZWHb9+5mdK6Su266azRXeKeJTEurLAsqq7uktb88MZumWeZs8Y6aENm3CePTzdNyySbtnlwZ39Vt+tNE6qKUohdTb7j6DnFft8mzKi0NtZqQ0QaBYX7j9B2Odgnw1EBiEGtASEJa1B9pi11UWX2s9PLezfmFGPddrELMQZhTMQCYozWIYGzwYcRFdfMf/rh04Np+fa9ow+enHdtIBAWslrp3PXMDr29d/YMB7BaaaWcVb3Nbmcy+Pajoxs7IxL8pa3NKNN/oftSb496fcUw7hPQoGQb6tSADKAVjjNjFawb389kiXlSloPMMvvGhy6yM+Zy07UxIepNlzZdjClppdqQusQaFCP2N4SQ+jsGWkSrMDJrER8jO91nvZNIekWZSwR5kf/Rn/2LNx/e+3f+9u+K8M5kjMwBUhfIp+SZhsNMBF9errrIO7Nx03Qty8VqzavaiHzy5OmLi/NgzfPlwozHbejKwrZdQ3WFVgHKoNQAXG3qt9+4Vy1XT9MX1Xr9Fz/76FvvvD4obEc6pSwmAiatVD4avvH2l754evL1Lz9oU2x92lSdtQ6BiajxXUcJtWq7AKIyY2IKXYxv3hz/+qODVRO6yG2IRWYT88+enl9ufNWEKqSUKBHHJDGl+Wy83rSLdQWAwYdEiZhRad/6lMhlrh8vKq1iF43w195+XUEADD5FpXSidGdnbDQIYKZxsWmvq9YTfff1m6XWX5wuHl+sX67rgc0+fHIefOe9Z4oC/Omz47ce3K3bhruKfMcUyXecQo94Q2JE9G2zf++2jySURME2If9qRfqqCaqAyPToFxGRRAzJKBWiHzj98fPz77x1P/hU142E6H3o8XLMnLTWSqcYtXMVM1G6WFbPLq7vH8x/46uv/8M/+1mKwZWaUjRGMXF/J1Y6A+JeSZQZ3QuACFC0BsBNl0IIqI1Wuo/rMbLqE+sISkAQGAQBdE8mR+FXx5+eTMcspdNWwbqNfcmJRYrcTnIHQMTURU7CFCOB+CRV20WRJL2/j/pEBf3LqiBqDQp1SJyo5w5hG/l42VmjMw3CYFCxcJeo98c2XWeM+jv/xl8rMzfIXBdCStsvcOassaYJYVl5YZmNyy5GZaSOgUQmZcZCk9Hwxrxsq3VAR4x17IaTwnPau3U4G2SN9+er+itvP1htrj9+epwUvvGVt7ouPvvok9KZs/PldFAog2Ldgzs396eT6ai4c3M/ev/s5Mo4FQLNpyMUIcBQdeumc9qUmW190gpz0IlN5PTwaC4gdRcyowRwPsybEK82/nLVrD1dLesQgrW2l5gnopCSgKBCogQCWhuKEfpkDfeUGkYWEKpiOrm+RBtTjMmTBZwP8wcH041vUoLFul00gVHfPZwp5h98cXJ2VaG1k+HgyRdnje9SCBQjxchA19fr0/EVdy0Hz8FDb20WZqKeVtijRLLMXT47RgTpjy59T6TnHW61WwAKjfQmSFQ9fyqmaJStvT/I5ta6VePbppOYUkxMiQWEhTRpY0lYswAbAUoxNLX/0599/utfffjOgxs/eP/zPMvaru3HailBL2BEpfCV7AIQjNF9srnuwvF1fXtnCJRUppRS3HsacYs9/WV9WynV+17oVa5hmwF61drVCLGHtioEEWc0SCJOJCzAzugQk7CQIPV9P5Ke82oBNAIqzF2fj4KsH2oxRGbsR50KF3UMqbo9yzVI/7vr6yaR0pMvXu4c7e/v7UiMVdsOMjvKDQA2EdvExDzMs4EbOKM75kHpAqW6C7d2Z6oLrz+4HUF++ukXmVjjo2K5WNXXLX369OTl2fn8tbt//Cc/AavzQdk04afv/9NyPmmvF+vlunDZ+8dXyg2KshiN3NDYH/3gPaslc2ZaDr706PXW15PhYG8+290ZWxCTwLmsapNWSSHuT4pB7l5crCzjzLqhk66LRWZza8rEiWLX+lxrpZT37e6kOL2OVd0Nsmxd11pb7+PWp4mYYhDhfh9PIYSQXJ5FohhpUqj/+H/5t7/5zqPFZqWVjEfF/myyqJqz5fpgNux8epFo2fjb8+Gdg9mf/Pzx+08u2OBbN0ePnzzdVHXq2pgSh8gxhOhxUmTKhrpCCsSJY+wDKsrY/vwjwNbalCS2LSoUwh7x8Uo58ao8ywQIhlKKAMbY/nxCxEiCkfbGw3FR5NZSSuQDJyLhVx5QAUFmBSIENByMri+udnf3nz07/csPn/zGV9/4xqPbnx1fWDtabTZMbBRuGe1bfB8Qi1YqMVutknDVxheX6/rujlOoWZxCpWHrmgEUYCaJLIhYBwqJhk4D9Me9V0x7EATMrUqJsNcwMm93BsAxsdbKKm0UkNqWgxSiVYpRJLIy2igwahusEwAgScA9Wcj1GW8BBYgAPvLxos0NKuBh6QpnCqWWi/W9Gwez2TgEAq1S4sV6A8Y0gdo2hNARcOw8unK56U5OXkaAVe3bkC6vV6tlHT0vF4u/+E/+87IoY935kBZV85989H/Xw3xxubChFTRmPK03XxijWXBVdaGq88JM7z0gYsyzTd2Rdd5K1cCj/fLXv/XO/uHRcFwqpeajgVJyva5y4whQmEeFnZVu3UVUet34zJk2pkHupkUJwLGJmy5Fost1PSiKyWhASo2GJQA2XTq5PFEg2phN3Qpz6B/MwsASQtIKrctjCLeP9lbr+s7O9G/+znd0VuZl+eHpdV3Vt+aDuwezs9UmMQbGde19SEwyLNyXbu7+5WfHl6v6xt5kZ1Scni9bn8bD4VXTkQ8cOhGmGLjrRrlB6cHvoLTueWacEvSKa5EkgkYZ55L3iJZ3bbsAAIAASURBVMh9SEwAUAmlvhUiQihi+hD1VlzVL1AxiBit1fOXp0ZLlrm69al3wQuDAIkwgAKjEJPiRPzZs5fT8SSz+vpi9cOPnv/Vrz74+uu3TzfhT977ZHm9SAlIeMtmMAgiW18Lg1JAgiHysgnXG78/zom3WywRCcxaoVGqZx76SGebbtPQjWkxG1hI3IMK+7qBQkBmYrG6V6UzCbRdHGem//aXmYuURKjfAvZG7KFRwXAVyGiF8C9JE/3SV/XtTVSRuG8XK6UQsUtCzKPCnF8smk17cnJxvViO9m599vnTl+cvxwdHj88vr15eaqN91yqdNR3FsCFBXZSxWeejSVsFih1qJ1ppFoPASmXT/WazcbPdglk7G+u1Zty7c08YdFGmlOx8NzOmaSqlzfTBZPP5+7aws/G0UID7ToFuQ7SFMWX24I0HSbCLrBRfb2qnlLMqEJGAM7g7KlAYBTdN50MCkdkwuz3LrzZdEr5u48WqHuR2Zzp5eVl9cX59vemISCkVE3GMl4vlbDIlIk4ExCBsUHVK372ze+Ngfzoff/nOTuZciOntB7dO1vGnnx1fPHmGiD56fHRrMii/OF+t6zgflpyYhQKlmzvjySB3ztyYz16cLd87PiaFo2F+dbVUAChMKYqIBjk9PT+/Xszmk/XiGrRhSKHzTBEocoqCWzTg8vp6Mh1fnF8opXshr7wSroPIK7UX6NmjbwL2Wx0lW1SqEAhqNR/1oy5u2i7FyNSv9bZiWUQUYKsVan29Whtr92aTi6vFVRt/8XLx+fOzbzy8haCu1huiVxQHBP0qqNPnNK02ClFrNSzcaweTUZlZY0KiytOyaq9WbeNjYXUk6kJat/Fs1W1a2vioEUunX+lSARUOc6P7tPQr6amAlLkrjFGonLU+JQRc1mHTRRaxGo+mxTw3IlIH6mPVvSIJBbXepo4ya7Tamr97Gh2JIGLvWlQgCnQ+Htw42Lt1MHrr9Zt/5Xtf+YM/+v5f/PAjV5br5TqyiC1QhFpvh2OtYJjlJivLwmmbDQb5fHc63tvhIOP9PTeaoNLjyUxlrpzO89HQFYPUVsV0BxCyMpMYtdaT2RwQWWOoNuOBvXnrFiLNxqUGGQ1yEXV+frWzM59NJsQUiRXAbJhNCtMGrj0VmXYKN13adCExM/POKHvzaNZ4vqzCovHD3BLjsChOr+vPT68uV/X5ulnXXV37lKKgqvoOlPfCbI0ZDgY+hO99++3f/M7XxsPy1966M87dMM/v3tj/6ePz9z4/Pr9cdB2t66aqPWq3WLchyXXtL5d1P5IpCnv/YOenT85+9vjsqonPzpaCMCiyk7PLtmm6tk3BU0rCBEKJZDQdQaLF9YJjFEocPUcvIsK9F060tV3dZbkzNvNdiwjIJCBACbcLAeoVb+ZValxiSkaEmYStYj49X7pi4H24fzhZXi9bpZMP0scSRBQAsZjMJqLNcqWNfnp8evNgrrXqNmuP8rGPvzi+vH8w++CpMzEmT0QsLKD7Irs4a0tnMmsYZFy6L92cDXPDxMR8senWVQSRNqTJOF82AQQi0boOyJIoXaxFGxwX2ircZuMU5hrbQNtSDAuJDAo7K7J+ZF91yWjVxlT5lBIJwsG43Btml6smsgwyHRlS6q8ZCIgg3Ld1+tyFM1ohRJZAAgJWQWkVguzvTQvnWMAo3frQxFAMCpsP54dHj772JQF0xhDA1flivVjZQa5YBkV2fXVZDsemDT0t/dbNg5es1sEPRkONM8VcTnNBo9HV62o0nXrfFKORoFBmeuyvM259eY62aKr6xv50s9HDzOoyQ6PL3H22WcboBSElSkROqU0TOKkmchfTsDDL2teefKKQCIDv7+2EGDtPLHJrPkLEJ2ebJyeL81W9qruYtqXWuov9Y7goMvYhxqSNmYwnIaWHD2//+rtf+vjZ6Y2dEQh4gtvTwU+enF5tGiZabVpJrIxF1C9OFmcay0xra4W5qqv9+eD3vvPuxtNPn5xVgfLMGosx0fHL82q1il1LIVLsGIg5aYVtSrcP54/rug3eIacYOEUiQq369Jd1We+wqlbr8Xy+uWZQ2/BPf4rBbZwGUNgwUZ8RAkEGBBYEpZRZLOqu7qaT8dn1yuSZbCreKnOxR+SD4hQhpeCcM0bXTVeH5DJ7vdmE65QPyz9975MHf/17RzuzT5u2H98Tb1XMClEZ5ZzNrGaBssh2x7kGiYlYYFWHq6pTqBIRN+q69nuDTCMmZqbkNASGRPDpeT0rzLx0xAxGJxIBSIkF0BosjB7nWaSoELooVReHua67IMC9icwZ3YWwaL3vnwXMCKgUWK36tuS0NJlWxJIEEgOJaKW0MAmUmZ7lKs+MQ5QYIkkEsEqNnama6vRysXN0MB0USDGJtF2kENAao/Vs5BSyu3XotGarYuDlclPmZjoppVZCcTQum3U9LIchRRLJyiJzBZ+damM1kCmKpvEgZLXKNdpyUK0uqdu8fe9osa52J8PrTTUbubNjd31xYR49bIh8iJk1Z+uYWVVanZiXmwZBRZYupCZERHEG2gAJxCgcOP3J6WpRt6fXVdX6xapKDClFFml8AIYQvDABwt3bh8Gng70paPjao7ubupmNS6dx0fgyzy5XVWKuu1g1vizz5apm7xWoOjRAqbKmyF1m7Sb6o51h5dOffvTCGFN167rpqnVVNW1X12214RA4hUQJiBUwCX7jnYcD5M8ff2GBKEZKqT9MM5FzVrs8NLWI9KWrpgsg3JOL+jnoqz5kfydGIz3xss8sEAkCQtQKPbWsjVXw5PmJLcaorHCDIsIEggwRwaSYAMFkipJYq22erapWCRJzbLrrJO89Pv3667efn13FzotSaJFZrOnzHrav5+S5mQ7cIHchSR29NabfNlQh+sirQE7hct1F3qJcnNbDwl2vaxFsCsPERom1JjNm4PR1HZRW00FuNSbivgHY+CAIPfzDCFiFQD3GhgNLICmsUqCrwHkPugMYZvbu7qCqQxMJqIfGoYBYrYREISjd6wUVgEhKAtDE6Jw9Pltcr7sbc+OUxCTLje9CDIDz2VRR2J/km8ZPMwfCdpgxqa7zGtg4rVvwTVDMeea01oVRClWDaK0bDodROM+zTsToZJUCa9xwnILvRJ8dv/zNb701KRSDng52rtab1+7eur6+ir4FlsQQWURk06UupHHp+tCbRgwhhpj2Z0UX06aNKbE10oR0vqlXVdfG2IUQibouknCKMTGErlMITdd+52uP/tZvfffp2WVmrdZaAVyv2zu706pulo1/erW8vTP1UaomrlYNKqWNSSHErssyY3NnjAEQ37WV74725x89O/vg8cmocKHxi8WqbZrgfWwaCoFS5BA4JVdYiRzb7t0Ht977+Mni+ro0imOALQofjTPKuq71QgwKmTgbDW2WgTZMYctL3jLfZSuFAdgqpZRiFGAi1Ib7XL6zxmpnbGFs23lm0NbGrkUhAEQCZhZttLGUCDXfuXVQWNd2kUUUSZLojPmLD558/cGNX3nrzl9+9EUXggZkwX4VbxQ4rcvcDkt7e2ckLCufCNR14zdtDJHWrWeBNtLA2pDICzulnFFaI9Y+sGhUPhomGjjNIFqpXZ1PB1YroxWKgE8pMSCAj6KUaASndafJgUSCLlKuQANOCj0t3bKKmQajVBtSmZlJYbqQ1l30tI1g6G2iD3KtRs6OnOmIupQUYE8UZWKj9ecvzhlhb2/urNJosy5QwtLosVOjonTGJgl702HVNNPxcHG1GmSqzPM0UItVPR6N+/bPwBpdGAKURMQ0nA43q2qQu8zZnkxhrdUw8o1m2D05XbbBH8yHVRfno6FCQYafvDw+P7+czvYodilSJBYRbREYRJCZlNE+0d290Zu3Zhfrpg1iFOwMspDS0WR4dlXFlOq6pS3xul8rEicSlJDSrcNdp7HMsxcXm8tlIyiZMZeLajYunDX3D3aenC5XTee7Li+LEAN1CZNYY4rc9aeA4D1ROtgZ35hP/tEPPtksNs1adU3XVE3wnfcdxdB7jQQxpmhYDwZ5Vtjzy6sXz14q5hi28lNmVloLmma9kVc6U4UQQ6Tu2liXKAJupVZ9dvKVAV2M4HbYLrTlBiGi9/53vvPVZrP+4sXLOzf3P396Vq+r0SALUv9S0NXTtJFVipESnFwsH94PzqiqJSsgWgmRb+p/8qOP/md/9Ztv3D26Xm4en1xeLOuuC9oqp7VBKAs7LRwq/WLRxiSE6rpqI7FGbEPSqGofekUcMzc+RaOVUU5rpbHufNUFg0WIall317V/997uzdmQKBllupgSo9G68d4owL7qrtAoFYm16jPhuD/JC2teXNVV6F1kQsI+xlUtRmMdiAENCPaJVBSLClTvpwGnVWIm5kgJQfrU6uMXp9qaaWEzjXUXQDh03c4wm5Zyc390fL462ilu744/Pm6HmUmlmyUeF3a9qRHIWWQxIVDr/c2dcWKCATWtL4o8+mCNHhQuz03ddLm1MMjOKQzV4OTi5PJ6+fa7b3Qh1K2/ezBFgFs3954+fznZOYgxxuRCTAxitK19TESlM96nQW7u7Y2r1oug0zh0JiX64Pml0kb1TTpUlLq96bD2vvUxRQxe1XX98MHNBzcPTq83Hz2/vLyuujaJViEGVHIjzA6mAxB4eVVfLTc+xJ3xkCJMR2XXxRgTCNrMEDE6/Tvvvv72vZtni2pVBRbZrNZdFxKlGKIQpRhACFgSpfnufD6bXi2uCXhdbS7PrzSCUAJmSgkRdDbovEdhhcj9Shi4PyD1qU/ssShCWwWegCiNQnp4/yvASbbRRiUAyihB+Gu//s1/8ZNffPL05d2j/eVqk4JvN5W2lmKSnjHT/2oQjUorFQB3ZqP9+fT49LL3qCKic+666jzA2/cOlpvm3uFeWbrGB43orHlVC8ZVG67qUAdad37ZhC5QSjTILIJk1nSBY+J+/BKJlCilQSEYrWOiRBwiBeLGp+kgL60lokQckjBISAkAcqszpxNRIO6btYjgtNIKSmc2nd/4FCN3kUjEahWII1GMHIkTsQgqBN07WEASi0awBhOL9Hq5RMJUZM5o9ff/27/wDLf3586YOqT1xmuDD27M9sbuaD6ovb99Y4Ypbrr45u395ao6W1Y3d8erKlTLOrMarWJAg0YplRvsJUW5VUJkjS4KOygyTlxkOjNaKeyaVmJ8cnweUO2Mi51xoVENigytOz45me/sBQKtVSJilp6PmYi1MV2MD4+mCmhcDiyqi1XT+nBdtcs6rrtA/ekR5Muv39qdj6surDYtsETiw93x/+L3fydz9hdPz6IoBFxu6uW6SjGlRE0XfKJN419erjeNn46HyGSsvn24azVap4vMDYo8M/qvf/vRmzcPf/zp84tVfb6oUoqbTe29921LMRLFGKKkxCnevntnvDM9PX5x9vL44b1bH338hW8aDQCU+nCDtjlqzTFske/y36m/CAASbRc82+Q8APaiZ9Sj+18REIUaFPbYTQQsh+W9127+7P0nmc0yZz786PPhaFQOBsjYtk3/Ht0mk2FbKDMK2xhvH+5smtB2nVIaFSql8sydr6vcZY+Odj95eX7vYGd/Z7Kquz5XAQCJxMfkiduQQiQRlYiN0YWzPcomMXQxJeL+76//7iUiozULdDH5mJRSgjIp7SjPjDW9c1sp7KuMZZYJc0gcYurJoQOnNciwyFikjSwsPnFMTMLCEhMLSF9e7ZO8GqG3RzILiwRiEhllxmlFzCmRAI+Hg7r1/+U//v58b2cyHkQflutu0zRv3d+5MXWFM1rjqg3TwaDxhAoNwI8+elFV7f7urGn92enZfDYaDF2eWSAZ5cYaHI9ySJRZGJYms6os7GQ0RBCjDXMy1hqtmqbdXF8dL5sff/w0JDqYTWZlZhBPrpeUuBgM+/1Gf/jtkTO9HGpvlGfODPNsWbcXVbtqIwD0bvrJMPcx3dibzkb5+aoOSbqQqqo1mfm7f/M3DmbDFxcLhRgiX62bxofgY4qxrhoAMdaESHXdksiwyLXRRWaVMBENS3fvaOdrD45+/cv3D6fj//bHn7+8WnU+XCzrpvN13aQQgveIQimmSMLp3r27KPTZx58u1tVrNw8evv76Z49fQHolNwREZdBa9r7vM2KvkBbup+NbHqL0ZGxQChGgDyUAgtJaj177KigNIkppRNVDUnd2JjePDj746It7t3Yzox8/OzE2Y+auWQuLREKluDcG9Pw9hQpV54PS6mBv5/xyobd4baWdNaiPr1f7O5PJqPjJ4+OD8fDm7nTddgAQSRJxZCHGGEUEUGGZOxFofZwO+jU8WKNjojIzAhCJU6Ce3M/MQKK1EoBBZu7uT8rcUuIkWyioUkjM/fKhDZQS962L3JnMaaPVuo2bLrU+daF/RmJKFCKBbPlJVqPBbY6wR60QSxLZtMmnNB1kqCAlQuC9+fS9T57/4z/96Z3bN8aD4uzsalN1u7Pi17985DQImibB+ap2SlVtfH5ydblsCLBq2yLPidLpxfVsOpxMyknhEGU+zCYDPRvagdVlnu1My9zoySA7mBcGNYAMBi7FNBrmLGpxej6ajkw5/PDp+SdPz959ePNwNql89+nnz8fjKRrTxW1JL7PGaDQa9yZl3YZB4QxyoFT7uPHkIztnENBq2JsNmLn2aVWHuotN59+4d/Db33zz9v50VbVKqetN99mLy0RUbWrfeSLKsqwoSqPVqMimw+GmaiOlzFql9KbtKHFM9Fe+fO+NW4c/enzyZx8+O7lcg1Ih8fnloms9CXnvicgYFUJQCg52Zoni+eVFSnL/cH9vf+9HP/q5Utp73zvgEJUgorG9n1dERJIAACclgMaBSB8U7qu/gAhKoTKAiNZpV+jxw69pbVBAG41KCwAodXQ4e+u1uz/5+OnR/pS836yX5WgYkqzOT21miUGDSE/g7sfmCkkABVyeTUbDdd0CCyqNSoFSfaz/84vr2XD43TfufHR8fnd3ejgfXzeeBSJxG6iLCRGcNZNxOcysMdo5U+Z5Q+Aymxsz6EnI3gMAk8REPcy8j+mzSOH0o5vzwpl+P/wKkIJd3OaGupgi0WiQG61SIh9508aqS21I/YSERRJR7OepWyJMDxHiX/qCezdZHy1MAkqjVuiMtlrtjGb/1T/+049fnN+7cxhDePbifDifvHFz8sat0br2yyou1ptxng3K/PRyvVi3OzujqqmvF/X52XlbbyKRME2nkz6iDAi70/EgM0VuWHg2dFaJ0TAtXeZ0ZN4ZlQqxbdrxqFxXdfS+nE1Ho/KL44sXLxcAcv/W/tnl5WITRuNp530IkQW6EHfGxd3dsVLQn/TKzOZW+0BWawZOiW7tj3fHOQIsm3C5btuWrpeb6XTwu998dHt3HBO3Pl2ummdXm8aHFGm5WLddV+Yuy7Kd+ejh7QOFWLe+CQkB2s77EFMkjqkcZL/5zsM/+eD5x88uN42PKRqLVdNer5q28whCQqkf6gPvTIchhOPnL0Xwy4/upRA++PwFE3OK5Nv+GNJne/pNcT+VBxDg1GMU0DgEQa1QZFtpFVZao0JtrDYOrTOAqJQWVCLgMqedI+HWxzyzk3G5qtvLl2f1pprv7rFDnRWx7Yx10DOHKSEAa6CIGjVzKjJzfnExKPNN1SitmIl89IAKMEH66afPX9+ffffRa5+dXrx7Y+/hzd1fPD21KeVWWuZBmeW5E8AmiTWGEj+5qkSktIYE5gOX57isWgVSFlZrvaw7Z+ykcNOhUwrHw8wZHQP1O+5A0lJk2b4SA2BkMv0DnoVI2piaQEQSiHoSOjOlHkCH/ewYWTgIKERjtGLWfb1ToTAwwKi0O2XWR0xym/ngf/z+x5PpYFS4n7//aVHko0LdPhho5EzruqoUsU/tZl2vr+v5pLRaRga/9/aDanH5/Pj0+sXpyXq5OD3bOzp0zlljq3U9Grhb+3Or9brpdkal1qiVyTMyyE7Lzd3huqrbutvdmT/9/HMKKQKMB8NPX148+fzJr3zz7ds3919cVF2IMSZADDE1ALNRfjgtmxBng6z10YeUFW4+KqDyCBydHmSuC/Hkur5YtotV13RhPCz+6rfe3B2VTds5466r9uOXl62nugtd6411pdLOufmkeHjrYLnaPDu96gI1XVIiiQgBisxoqw8zKwgvrladj+um88FrXXCMLKy0Qe4F51I4N5wM2s2m3lSszVfefNjV9fsffpo7KzZjSgoYQJFQ/0gXYOD0Cnv7CpAG2D+jNZMYg5RQKUQriFprRATjTFGavt2kjAalCUALEaiX1+vZKD/Yn7w4vejJboKqunypM/evGNi5N/IJKo6kFILSyujj56e7e/PRsEiJsiKLIaUQOkQEabz7b3726V//+pss8EcfPv76/dsPbu6fXCyXm0obHRLFJmqtUYHyyUdufOhiulZaa7VowyRTo4GbjQeDzGYam0QIWDpzMC1nw6JwJre4qj3FlIiJgUBIABGYE4jkzgCoqo2JJURiEZ8YAFJijbJ9zIv0WhdmlgQAqBVqjUCACCRKKyUsRqth4e7vDmdFFlJqfRgUxfufPPvk5dlXv/HOpqra0L318IaPwWF6+uLq5CpqZe4e7s3Hw3JQnF0t92bjQZGD6MOd2Wxg/vyDZ//b/8P/lZqT/YPD+Wx+9vKMU7p5tLe4Xn7/n/35aDy4c//uIHcCtDsdzqdjhbJp/Y357M7e9L3FsyLLUWnrm92d2+e00NmwBv7Rzz7+4uXpeDLLRzNAZRQkodeOpjfnA6Y0yIxPvS9MMejrzWbZRhbV+tR0ax/TqovMkDlzcr343juvPdifXa0rn+T8enmxrFZ11za+i6SVyodF23RK442DnfOLxfHVZrVuiYCEJSVmNsYk5q5Nfbt1U3dXy6oNIQS/Wm7Gw8JqlSQQBcURmcq8ODu7aJt6s1gNp+PI/OFnj/PcQQyJWSGgcSjbzBYqlRIJMQADCIqA0koYtAVEpQ0IKaVBmy3FBkEbq7Sxo1E5Gps+QgaRQZFg4ZMMRu53v/fOn7/3kbPYLDcGAUGHFKNAZrXXKrRNbxkHEKaEAKJ08p1zg6vLZbtpls7dvne7ruoUk9I6pcCJyNrYxapJ3//gyZt3DivPv3hx/s0HN9suWGOWm3rV+iZEzQyC264pYiJBIR8ig7TRvnNzp8z0yaISlr1x4TJbR0os15UfZvRZ1T27rL7z4BDEC1MiSCwKICEJSo/vZYaQOG1hulupzKtC8SuVBkPv9HUGAZTRGhCIARESSebwnVuz8SDvSfNaKUDRSv+DP/y+oJrPJ188efr1rz7yTZsBnV5Udw7u/JXXdufjYS83WLVBmWzozGrT5pluqjoDY3NljdNG37l9NBmVpVHPj18+vLnjd3f++T/6w8Uwm8x3FfOnnz29WlzevHHojNo5PFwv1juzncLoilo7GMxHxd/+9bc/ef7is5eLzXD09PPHl6eXWuUdkRYOQG/c3vm1N28JJaUsM8ZEXaCOaH2xNhqvN12XRCMu65ZYjDHDQZ6EtdbO2aoLL683X5yvuzYwMTAzCYg4Z8rMtW2nlBDJ04tltWlZpN8dIbO1WimIRIDqoup8SE3bLVYbioEEoiRec4gxUYw+NI0PvjttmqqukEW57O7dm8+PX4bW93T6fpKD2oAxFhWLUPTC6Zd1L9y6Lq2yTmkDClHnWuter9gDCJV1g/GoHI9iIqN6vCVqIDYgCdXv/eZ3nr44+2d/8sPvfvfd1+7cPD4+iZLOXryc7N+sri6BEgiDKKKIAIiKKaFApCQ4qKoKEdvGr9eVs6btGkQ02gpTSsF78F23qIz3cVy4y3V9sWkeHu598vL8ukKlVO5MStKF0EWKIYlCFlAJMmuaGNsuXWzatlXLjU/Cgjhm1Eo/Pq9ZqO2CoK4i/fzF9Y1ZOS3z1AVJwbNkRlutY0oREAQ6Yk6iFOjer4GAIAZBEEQBkfQYTdzKk8BqJSLjgZ0U2bKNu9NyPiqYKTH3HPXMZR+/OP3TH79/82h3vVrvjsdDZ3X03/3yV9+4f3c2Hq6rqml8r2dt2tD6uFpUO/NZl6InuNy0Vee1yYh5cX11ULppYTdFUVXV1aLxrA4PDwe5Uih37907fvL0Sp8PxlPQlzdv7D8/PTNGa+RyMHjv/c92Dg++9+V7Q6Ofnm7CrRubi8vZzmyY5Ym4HBRfv384zG2IqvEUiI1Wy657uWzqpssQusRt4nFZWGvbxtedF5AupDLLLxf14+yq7vxq07ZdsFpL4iJ3seq0UgyilLz18M5i1UZiYuKYYvAgWOR5H6PMy9zl+tGt3aGzCrCP9ABiVrjVctO1naTUNE30PnlPISIIEZcDd71cXJ9cOmOYIioNlERpbTNQilMSYWYCIUAlsMVPCWrlMlsWxmXWWDCqv/8yJWWtzdxgNJpOp03TEGD/grCAiFox0839w7NF/Rc//sVoNLy8WN86nMsxsLBfV12+1M51qwXqfgXNwgzGCLEWEKWc6xfRICkuF6sbR/tK6+ijBiUAFJGNaeu2lzNPi2xTN42Pzy7Wh+MyJE68SnVKzF1MMXEgpsCASoRTStpqilS1IRtk1unCZqjMso6CiWIc5XbRxdb70TBPAss2Vp4RZJy7HFgj9Fwf2UJaObGY7d1dhCUSA0sfwUDY1uX6UkFZ2llpy8Id7UxiCHvTosxsL2U0xvavkKrt1vVGaVPkWbWoH75x/97h9NtvfW9/d/rRJ09Wy818Nu4b9E0bNnXThvjajYPKexbucwYqskAKIQ4Go3I4Gg745GLhE+wc7e/M50B8tDM7vbxSxWA4HRpUk+Go2nTnx+chxkXTWeNS17Z1/cMf/mxZd0fjPHBS0T987fZrN+aTcR7R7MyLw/mw9rFqYxuSMVqhbiIcX9cg6WAyUkgOiERC4vOrTeODViqGJAjPj6+ERaOsqwZAoVJ5ZhnUaIQicr1YzqbDRPL05LJtfdt2wQdEZJbVplJaOa0c07gsfv3NOwiCTEahtsZ7j15CF9q65RRD11JKlBh6pxsFpcrF+RVyAlQoPU9RozKgjYhQCsD0y7c3CmqlBVC5rByPysnU5plR2P/i0DTMajyfD4flfD7zIVZNOxgOTe/ARQXaWgLc3xudnZ5ZQGU1Qvzo/Q9AW6tN1NQ1m2I8IWZFAQCBSfplBGqWWA4mAMo3jXW5sCTmmGJ/JwkxaK0hStK6AxGQT5+ffftLd9dNd7Gqrqvu6dni/tHud9649/Li6ouzReyiJ+KYfCDUChQSQYZonavaqAEK55omNpKKXDOoNsRl7bPcMpMW0YDLym8CIcB8VByNnIHoA21rbz23VKQfWxGzD5SY+tq7ehUR6eeoqHBQuL1puTseIUifgXYKhYVYYozWmEDiDJ6fLs+WFQ6Gv/VrX/3trz+6szeOiWKIm3W1Wl/s770jKJ2PVdN1Ibxx94YWWG7iaFikJJuqul6vjdWMsGlWf/6TYwS8XjUffPTBZDhAaS5fnP3R5mrddvlktDw7G07Gmy++UGifHp+gAq3QuAy1ySfj1WL58uX5al0czsvBqFgsr+Zffu3G3uDg4CC33IYYE/d4QBa42PirqlvX7d39SZeo62LTBW1U1Yam65aLlVKmj9e3CkXBZJhroxLJbDrkxKdXaxD2PrrMPLh7Y1OnTV3Xm4YjMTMqjJEYwGhNIllhTs8X7z89/uaXHrQpLFfrLoREqd6kGFIKXkLkGJlIIjEnorjFzPZ8b0osonoDhEiKXphRGKA/xPZvawVKodbFeLR362i6s6u1YkohcvBeAIqyuHG4P5kMEfD0/Mrm+WQ6NLgV6SilFAm9dmvv86cXqI0C7EIkpWNdG+dC26TQhRpN7mKTFNA2oUCiFBMgA7dtI6w4EUAQoiJ3wSdRyoew1YH1u7GYPn768u37h1a7H3/09K3Xbj07X51/+Oz4cHZnZ/j1R6+FFB+fXFxcLhPD5ycLDQgIKZEx7KN0xtS+ZZEyt5ebJpIoARJetS0wpEiUEosY5xLgZe2rLn9jt4wswuI09soM1YtSXpnLlMJE1D/5+06+UqCVckYTS+asQiFmq7VSyCApJiJWSpyydd3NRoM/+Oc/mewc/Xv/5t/++lu3Naa2C9aas6vlex8+ruru3a++XTWhDZRA3791M7cmvCJGHZ+dR9+GhDola93JFyfznel8f7ph+Mprt6+u2p8/vR6PZt/9rd/4y/c/290fr48XoiyhouB3D/aWVWO1VgZREIi9wNnzFw/v3XrxZBFiclZ9/tnTgTUc/M2jPTKu8bHfH9VdOln7dd0p1E+Or/vLZYjJap1YYkpE5H0ApRSC1maxXBut7h7udDFqEQJpQxCWqqm//MbdwrrH15fAEDofY6KUfllVZaVEoNkY0XJ6vTk5u9op3Y+XKxT23hvnkg8UvLCklIiCMAGzUBIAIY4hCAByD1fkV3lmQqb+499H2EFEaY2odJYf3Lrx1pffzJzxMTWdr+tORFCbmzcP7t8+UEpfXK+ts7Oi2NuZGKM14jYuarROPk0mQ+akxFSrajQetcu1MkYrHUMEqpR1IkKUUOm+38vMNsuUtV3bGlcCADNzTJuqjTEhQuZc13VKK0zRJpMUxpjOFqvc6lUT1k2jga+r5ukJPLtazwb5r71x6627B/980z3Yn02GxS8enwqRgGKiQZlprUhYBM+XTQrBx6i1yp1tQ9JGA2JcinNWeylzoxCuN12YF4PMGAVVR4nBKsmsUojEohC1wRQFFSpQkaiv2GiA0qrM6tkgH2Q2pmi0QUB61e4xWhW5bX00St776Mnh7v5/+D/5H+9MR4v6WquEID6EwPz89OKTT569861vDjLnYwKQIlfGqNyVm8gstLszMzQ6vV5oDVpMXg4fvvnmzqSc7e7fms9+/snT+XT6+t39SVHc3dtxRm4/uN10UQtyjl3dUIypC7Hzsa21Nu1mTTEuXpzs7oyrzWpY5LujyePHzw7299589OjdL7/OIokSsXSRF1UdBUJKy01DiYhYQDJnElH0AQBSSqiwRyp0wX/97fsPbu4+v1gQSeU7QRU5Prx9NBmUL86u11Utwojgm4q4VxT2QxckAFrxfD6KnX//08e/+uadP/jjH1i0KYQ+8sApCjNT4BCAiVIEERZOXZN8wH6Z1dvhhOSXhE/mV6NPhUpZa9Fk0/3dr3/jyw9vH9RdvNq0vZEFlbJZ9vqD2zfn45fnC63UdDIaDgdFbo11VgS0UlnuHty/9fHT8xtHs0FZkEAXQm50MRxtlktUSiNSIMCk+kwpE2z3C1pbWy2X2lqbl8CIqFKiy8uVDynL7Gw61jEyEQFFHawxJjPDQX6xvA4p+kAaoG4aAbDBvmy6f7ja/Pa7D0Tbf/TDj7/x8NZvf/eduqp2poPPji+vVhUzg+C6aerWI7EgRorBR20dRybyIZEOyRlDSZeFRcSPzzZfOhgnoiZQbsEoNBqotywBKqUAlI7CgETIiCBSZOb27nCQu/l4oABY6USMCCkla/vyMCaSpvFJZDSe/q//nX/dh7TprpQRo3GQF10MQ8n++m/9yk9++P7Z8fHf+Ku/sVrVBzszpkAhLpumdDYlWDRVU3Uk+s69G8NxeXT71pMvnv/Zi5Pp7uT7V6vr03OF+MHPL3/0Z39uJHViwWWx3jBBBI2ZS3UF2rrhOHNDMW50Y94szg/v3p3vz9V6871vfv3dRw93d6bTUaEFzhYLFAbUgmIUCstqU61Wm5CobTpKKS+KTdWCSOwziEoBSH8B+8pbD2/szM6XmxApt877UFd1kbu9+fT47Lr2KUXu6ratGxGQSCyCKKh6HCewgr/2rXdmQzsblJ88eQ4xRo4iEtou+pAoCRGnyDEBR6YkAnmZpZhYAOEVELNfejH3ksdeedmrdU2WuaJg4x6+9frvfOfLWujJxaYlIeIsS865yXT05p2D6IO2dlDmE10aa7UG4/JSgLS2uzvDo9s3P/r8hbVmdz46PV9mRbnZNMPxaHG9RECldX/4RUBBFBZExSDWGCZGQSRJKSkGmzlmppiUSIppuVwVRa4QtNYM0kX/5YdH8/Hoj/7ysxTT8enlaFBm1tZ1nWc5K2wa+ezkamSg6doffPh0Z7YMlObTwZu3Diaj4SCzHz096wITS4oJQYGwMSpTECgprafD0jm9bv2mi865yEkbdd3E3aEtbGIG1ApYjFa9twYACqskhy6maJSPDIh7s8FsXFqlAIReBWAVqjIvstwqJYj6ct0kkynn5iN1tVoSsdagAao2/fFf/GwyGsW2eX6yrBP/kz/6fjmYfP9H719XNWN5evx8eXo8vnmTItVNy8wphRB8EvXeLx7XbUdJilEZujaKYNeZPBfMdLlTDsfBe8JMO1cYq7SyR1qstc5NppO26cj7dHkORjVd6lYbsO6L47Mokog0pSRwtahZwBl0TgvzMLMnzDFEJgoxiojv/PbYzQQiKSVl1Lff/dK9W4dN0xCrIs+bLpDgdFQOBsWmbptAi+WmqpoueOCt+RahV/QkrWAwLP/Kd7/y8uln69n4zlfffiI6RpLoQ4zMnEIkisy0XV4JCyAJDUajarkGRKYElF4hwPtNZL+tFOwxpdrYvLTlYH509Ctf/9IbR7PPT64HuWOWzOouprpLj+4ezkv7dF0rpeazsQJoOj8fj8xwPDJWWWtGk8F86P7Gr71dV93VdOQTb6qua/xgNs4GZaxqVFoMUGLpYc09t60Pi6eESqEy/TkOtcKeMwZgrO1aQq2tNcoaVJCE7u1P3/v0+HKxGZb5ycUis9YgMEjVtlmehxAvl5v5qDCoU6LjswsN+Oz08vHx1e5keO9o70sPbnYpnZyHXmGd59lkNBAm4wwzeB9SUtNBHpNUTTctC9/Fk1XTpmyW28NJDkII0D/RjbaIkBmXOxsTFbnrfKxjGhUZswRh6kJuTe6sUggIkcKLJ6cn51cvXl59+Nlz0bJp03UVAmZ11Vbtpm06CWkTQmKUtsKsmJTjDz9/9k//d//nclgakGJnP3UBcaTENK0HQk5ksgEnyGYzWw7sZi2sXJZxiKp09WptbQZKo0JnTUbEvIfIoamUdS4vhLir1r4YUuTNuu7nulk50NYsLq8efO1t4lhXjbOKWFCrs/OrIi+sQQC0GifDom7aFINvmg6BfARAZc2r2Dzs7s6ODnbOr5fMWPuwPxmsGh+JnHVdF4Hrummrqtlsqt4NSpSUVpTiLyMpIVHo2g8+efzN73zt5WIxmwwSJWSObUPMTARMW5UNCKAGZET2XeNjkugFEYkAGVGDCGjdX1yZCZVSxlnnbJYf3b7xW7/69W+9eVtrXRT5obFl3hW1rQNNRnh/f5piTIKzUZE5t9g0rsjzzJrDval2JnNuPh8dToc3d0fqSGfOvff5i9OzqyYzzljrXDIemUApBVEibdm0IABC5BU4BSom1NYKQGhrbR2ixEScLKLqmtYbk7wvh6UgnF2vmoCtD/14vm7bdVW7LGspdHUDRldd+NLtvUnullVLKaEyKsbF+eX6evX5i7NvvnnvV999QAzPTq6enF46qzNj1pvgfZhMx53AYl1VbXdjd2bQtjEObFa1semiO5oZ69oQx6WTlIgSMVuliszkVk0GudZYZmZMAgA+JETQWlurASQlBhTv/SePn3VJEcutm3u3jvYGRf6f/sGf/ov3Pio0xk1th0NhFG04tZPDA5+YEbIsu3lzPLlxR1nTP1aLycQKVKPat94Uzg1Gq5enRKEoBwFEklhrocgIMCrlMgdGW2u8jyKSFzmBhE3FyWOWK+dAGRYww0FGlFZ5dX01PzwsZ7tnZxcSo3L69OJyUBbGKO8TsVws14PMxZTKzE2GhTN7x2dXWmHrAyUOIWpmpUBr7fJif39303a1T1UbMmvOFpurdY0iXReIk9bl1eVis960TUcxcoqUkmzpfoIgxmS7s9FX3nzt9nzw/Z9/+q23X//s8UtEiSlySkLbdBWwsJBSmikBgLNaSWLe+j5FbfNsoJTSBo1BRC2ijLVFkeWFGw3eeOPOb3/99b1xoRTOyyyQjIvs0tllEzOrSqfO6qSt3p2M6i6g1k4QQMydG7ueUpa5vdnocG82HVit4Dtv3TIank4HV9erzap1xkRnKYok2jKmRVAYhKX3jgIzAwJF3yljOHjUKkWkRBy8Ntb3anilWEjn+RcvLh7duSEsTdsc7U5E+OxyUWS5KFSIJnOfPD/dHZVfe3jjz37++bYd0XkmRgZJ6WefPv/85PJod3LnYOfrD29//PTlsmo4RW1siHGYu0iZD7Rp/Sh3iYhTVNqMh4VV+GxRAaguQWHVuMgspx6byiwh9pR5yKzWiMWwEGEB0br/3LBWQILf+sY7jFoAfWBnzc4k/29+/Kn87Elucztxg50RKJyPBxenV2Y0wDa4LGvbejQZC6VsUFBMKUSuG8kzI8IKNTPGkBVOm9JY4waj1AWlFSAqZ6XrtMt6XKNkGIiAWStxg8JvKuWcy3MQjDGWw6GxLTgnAJnTBwf7i8vLLsUbB7sa1KbpksfQM8WImjY0nQ+BB4Ms+Kj7SFj/OWSOTMI8ns3zclC1cb3x1mmt9fW68pEQYVRkbeuLoqiadrFahU2detkGRU5ElBAVAJg8swofHO394uPH7/3ik1989uzv/N5vEHGKCZlFSLYB863FmSmCCKU4Ho9922IMqLQwMW5va6iNcpmyRiltihyU2t/fm0+Hw0H+jS/dnw2d0+icI5LIzCw+kYgelBkxsOB0WOTWVl2KSYhpU4u5e7TTUUqJp6PCKhgVOQA7o3/tndd2np1+duxe6EXbzI9DCALCHZPo3hrax6F7yCgzKs2caIvwBASIIfY0rpQiRm/ERtS0qlySy3X93UHmQGLn2yZrQgydT4GUMRrBJlZG/eCDz3/vW18+nE2fX1x3IQD3w0fpg62Lplst1s9eXvz1bzz67a+98RcfPT9drBUCCLS+K5wbOEBgEDYKQ6KysBqx6ZJSqIyqQ3JaLVp9NM7Grh/ZKZ+IAEtncme00ghCooiZk8REzCwaWaSqWhZghQkUk3tRbz59dprnRQAcz8fz6eTGwfBwZ/CDLq58tEW2u7t7ujjPFWiHGP24yK0eunKklLAIGKuQwSpt1HAwyAZliDE5n+cZoPiYaDSgSCZzIpQpTeCVUcYabWxo2tR1eW4Hw3KxWMamynKjs8JZOX/+7Pz45f7RjR/92Q/OD3dbAiZC4LOr5d37d/b2Dp+8OKtan2eh7jwwVXUXfJRIyUcKQSlVlMPxdJZltm29IGxq/+J80XWRhQZl1guvVsvNelNBP5CMUZglkQiDCDPlZRYpPbh7ZI1+7+PPXhyfWpCPnhy/dedmikkDaa2ESbH0PB5UiomEOXe2GE/X60YplF6s0g+UlDbW6jy3ztk8H80mr929ceNgJ7fqYGf0pTsH1hhtlAZw1uQoMXFubXCoQShJWWS5Mevap0SJxccUfDRHuyNUet10qNR4UBilEotWenecf+PR3VXVfvrZsfdBIyghfLU8QlSI0pPPofeSAveETopRG0OJKKW+LYMA5COIGOOAIXbdqMim0/G6rSXGF+cpxogiPnibUkAIMZZ5tuo6ZhLiEKJW6AoTU+CUBKBNpLTO8yyi/OF7nz4+3P32w1ttjD5EZ8yybij5QZEZrSofFKDWum6jCOTOTIs8Ea9CqjuOUQCkmOfT0hCxUigAVqsenUR91AeVpxR6tGJK9Mu/YgXKwGSUnS+6l2fXg9FYo8z35rvTwYNbOxcXV42gGwzHw8JlWufF5fGz17/xneW6yqczZwmdRlTAwBmklNAYtMlmLrPaKEkGJsNxShG7Fqiol3VmDSgrqLqm04DWOq1SlufU1DwcjMaurg01rR2Ug3Lw/NNfZKPhaGd+/Pz85NPH8qvfYqWy4QBiBKOnk8nOdMjMv/j02WK50tZm1jSdp5R6b+R4Pjw62i8HA2YyxoQQOx8XVbOummZdG2di9MOijCGuq6qp69B1RKS11lp1PS0LQFutFayqzZ3bBy+ePo9t11WVte4P/umf/fp/9D/9P/6H/9bf+7/912cnZwCQoD8/bO1BxGm8u1c3HpXtqbY9/g1QoVI6L8rBwOV5Phz8a7/21V/5ysMuJqPU0c7YagiRSme1Uk6zRhUJVM/9RLRaGWOSSGSJxEZBHROTmMPdKTFPhjkAlM5kzlhW1lgB7HxsuxhCjF2XfMeUQAiFFYAorfppVE/oF+iTl0RRab3tYPdyxx7a2OezhVWW17799us3z65XlY8FomZqqgZSEqVJABGDUhKDB/XycjkZl+vP28xg6HwMsfdVUBBlTCcJVDng4YvLtcHjX33r7s+fnFytaq2MaGBiRsmNYQHTjy911vp47KMCUagGeYHAKcHG07R0IGSUyrXW2Lt+k0KFoCJRoj41zZlVmdW1T3WMCtGiVkq9vFy0gcZTNx6WOzvT1w5GmuOqoSwvR8PCaUCQncOD8w/fK4usalpBcM7Y3DAo0MgEPmkBjAaAGTVaZTmluqqKYZG7LHRdXmbGKETFWrnCKebMqdjxcDpantbJx7pusjyrmpqZtVZuNNp/49HurZuXL1666vrRN752vVydn14d3bhzcPNwqJFiOJgN/d3D8+v1YlVtqkZAEhEjgFKj6WQym1R1K4LL9aYssqvFqm58V7e+67qWB8OiRbVartum7upGmCgl5zKbuRCjJiUGCfX51eJrb73RXS9enJ6O8sK3banN6enlf/T3/ov//b/7b/37f/f3/+O/9587EwREYtrC0oSG86knWl9cuqIkQWBQqEFAGaONy4oyLwdZmR/cOPitb3/p4f7Yk/Suu0QsAEYhCTmtiMHHJCiAEBNnudMK2zas2liH1AZqulBkxozLnJliIqWU0aiVQoGm86jU6dV6XTWCwMJa6xhjnwAEYeAkuNUFCPaZYwFgVBqIRHpoOCKzKM0iSBQiQJahwK1b++9+6bX/z5/8VAvE2PkmsKiuaRQgICilUZs2RnTuT37y4e//znfevHvj48fPgg8UotYaQQGRiIhG8tHX3WSQn6/Xl3Vz/8bu/ny6rJrPn59pBC3QYxgReFTmPqY2JItQOK2t0b7bGecK4LLypVXTQjML6t4gKACKBQWEBXLrRJIiGmWWiXRujVYCGJiMMZ98cU6CRW6V5tlQHwz16bpr20C+00M7GQ6MsZdPXzSb9ZOf/nB6/41IaTKaKKNJRGkDIiYpQMBYgNF5WcQQpeYEDErledZsTEz1fLp7dXmdu6FMxtXVdW6tAjF53lWlr1YiXOQZAqQUMLPW5Q45hW6yO79aXg0Lm2UHh7N5lmWFwhhiKxIS70yGw7I4L7PrddO0fuGDCIDGosivFuvr67Uypq2b6WQMCMF3XduGEIgpplA3XVNXqW2Sj0qj0srmlqlPUnHj/TuPXnvj4Tepaf7wT/58Op/GrmWGGKJ17ukXJ//gn/3Fv/Hbv+aslmiMMdDbCRKa3Obj8eL8vP8hao1Cvf9ZKW2Lgc1znblsWD56cPPewXyQGxtTF5NROMgK6tfDgoiw8bGNLCREkhm01kSRqzq0IW4a37YeFd4/nBmjUJTRSm2/Pcxpe3WQlLZFUudMZ7XygCLMiYWE4lbDCMicYKuyUMJ9FauPbSgiUiDISSkNgIwIududTf7Zn/7l3mSqkDdVnZoqHwxBmBMBIkEAbbTSitJVTH/0g/d//ze/dX29eP6yBQQmQgWoBEW0IDD3KcKD3el7n7wQxHsH89986/7RdPD87NpqbLpOodIa13UIka3RSmEb0mykKw6qgukgj4mu6qgUaBQGGChltQkpiYgxWmukRFYrZ5WwKK2d+uVrFEnkoycnzlptTFJwc5at6vpy3W5iLKej6WysY1cO3P27Rxef3zLG7EwHm8ZrjgpAGVMvN2VeGIUJRFtUoBxAVlgDo+BjZo3TiLvT59WSQtg9mNebbljk3pmu6bIio+DL8fjy+dNiPGubjkNgBboconXNclnMdlEZIDk/vXzjtXvzweR6WSutnMnPrhfOWGf0pqpya2ejQdf6oiybuh6UBQCen191bZcVOTOfnJ6NRgMF4Ls2+pBSysu8q5vUdqFpRYRBG61RaQ4BEQYD9zd/+2vTIv9Hf/j9F1erPNMQ4snZJSpIKfRD/If3bt062n147/DpFyecFCsFDMppjjE2nUItqjccivTHf5Npl+eDQVbkLnO3DnZ+490Hu6Oy6zpAzKw1ShFzF6kNlIi1VovGB5J1F0VgNhhuOn+6bjeNb7sQfGpjPJoP98e5/p//B//BlvkKiKgSMTN0iesuaI2rql1tmpSIBGJMKSVOgSkKp/6uI0woBD3SH+DVUedV1J76Gu2WpyCcptOJydyPfvrzb3317WUdj88uyHfITJQkBBZhIiACASIyICfn14su/uq7r3/x4rSquj7srbUWpQDQGQsKQdB3IcSkAM6uN5+cXHz1tVvG2Tqk3fnUaPQ+1j6GxCI9LZCFucyts3qQ2cQSibVGpxWIGKV8Sr3vIRLRForDGlWf++ibNJHEWh1i+i/+4Z9qY5hTac2D2/tfnF0J82UVHt4+sE4PCz0vbE1hmGftpnr97UfVcsMsKrd97waQrUJrMfkIigpjQuo4xNC1nJICMMb5rmuqalgObO6UAo3ah2CMNohdVXdtY40eTCZ1VXHossE41LXEMN0/VC67vLjcnZRfffcNpwDRGK1jSperqvFBK91GYqKm84EhxBhiGk9GzLKpmq5tQ9uiUimElCjFGNou+RB9BwBMMXadEGFPgxHIigJQaS23dwdvPLz/f/l//n+vrxba6EGRrZfrzarqm9l9sui6ar7+zqMsd58+f5kpNFqDYEJNzFlRCIgQg1IIolChtrYY5MORLvIsywejwesP7/zWVx9MC8sgiaS/Qiwb70nqQGfr7qqJdeDa06aLZWat0ZdV14bEzKvab5oupfjajd3CoP47/+6/FxLHBJGoCclH9pEicWRmkjzP2pCU1sTQdCH6jlNiIgUgHPu40yvqnIj09+C+rU69qByhN8wJAjDRaDbJivzFi7PxdDYqyyenZ9y1FAJTEuqppQzcExiEiTKtz84vm8jf/sobwrzetIhALEprrVAbjUqlEEEQELXWRZ75RNer9c355INnZ11Mo+FgPipGmWtCUijDws5Gxe3d0e64jEQKkJgBeFQ4hyioQiIfKSQOxImZWGLatopJJNIWSR0SZ848Pb36r/7wB4cHe9V6s7c77Hy3N8wumzQbDY4mefDh0e19h7BowqDInn740Ze/+kiU8Z2f74wLrYa53Z8OxqU52B3GGDXI4Xw0G2ZWq9yiNWpSZpk1LCIUOSUEcM4m4pASas4yZ7Ksrup2uZjszIrpzury0mitUfvl1Wh3P8uLrumQ2q+/+6W29qu6WVTd5XKzWG4W68qH5H30MVZ1V7dd630IUQCMdV3bdVWVUjJaM1GKqWuarq44xRR8jFGEAVhpnZeFVmidI0rLutnfKb/79oN/9M9/cnF+bZRACsLcNk2fN+npO8Zmz19efPj0+N//u/8DYLh37/bB7nQ0Hq69JMDYdWqrhVaotTbWZrm2zuRZVhTlsCgG5c50+JWHN3YHhadklEoikaQOsYtcB75qwsanyyo8v1h6op1hySJtFGfN6fXmfFmzAHPaHbjJIDdXlWcWjagVJGYRIGIQ8TEqRI16fz6fzWagzOXVsrOOdKe2SAj1r7SouI8P9xzzX+oqUBsRkh6ipZBF8iJbX10jwM8/evxb3/3azmB4sVpH8kbpxMTCSmkERGalGDARSJYVH37wGSL86tfejvyL61UTQtRaodGJCYWZ2BEzQ9t5Y5XW2ieaDN24zNdN4LSaj7P5oJgPs0h8a2/ClOrWU2IRXkV2WrvSgkjqS8E9OEV6gIBCTIiYWGu11egaBECMRFqpn3/yjIiByShw1g4cFJlliO/c3hXAJDC2+tl1GDgzKucEuluv7hwcfriuckk7synFOBjlmVbaME3zVQX7U+uUXlvc1GyNNVYpjYrdWXLWWKMNa/JGCaV8OKQUytKOJ6Pz5XJ1tRzt7Y9295rLs/He0eaE6tV1PhkP5pOT0xcvTy8GLqPETiMwdzE2TVetG2MNatU0vvO+t182TVcUhXPa5BZeoYZTjL5rU9f1HUCOwtHkZemKnFMyWocYItG33rr/zXce/Nmfv/fkydNMSUpJKHUp8RYIzgACLCnFYeZ+9sHjDx4/v3dr7//0n/2/NleL3eno5uHNjx83qrftWrcNeGqttUGX2bzI89xa8/brt3/3W2/ujAaCyCwgYpWpfVc4x0hd3Trnztark+sqMtuQjt367v7Oy+urxtNi3azWdZ7ZYe5u7U13xpm5WHd9plQrUEol6uWhvUNGUiLUJnUhJtZKa62M1tQD15WGrZSdQViYABVsKeiCW9MRK1TADMb0j21kWVxeKMGu3hztz187GDfr1XVVBUm9clRZZOihz6S1lpiSoTzLv/ji5PV7txUqZU1hdIpJaw0isevy4UApFKLA4EMqc92E9PyqenRj5xcvLmKIqxrXdeeMLvP8Yt1oAESIFKalc7a/gTETBxBiiUQIutcuAbJC0EolYgRkEa3RajRaE1Pn/c8/ejYs8uDbTOv50L5+c/KDT6/u7ExmuT6rAoLEGK+r9b27R6uz6vTFy8efPv3dBw92Rs77ZljuFM45jQBsrVmWdll3ipKnYKzKjRoWhjjlRrtJ7kOuUFvjUIkxer2E1HXWaN/54WyyuLhiolCvnDW1EIfGDserq8v5rdvlsHzZhI8/efo3fuu7nz89TgLEpBAAIQmFNiSSxNw1HTNnZUkMF2dXg0F2eHRYVXW3qaDf9hAJCocIwkDMAKBVCh4FVq0/3J38m3/jN84vLv6z/8cfnJ1fZ9YG3wH3VEXqjSQAfTZOJAVGKF3xT77/o//N3/3vv/H6g79c/hxdfmd/8tHn4IqCiTViH09WziljTZZlzuVlcXQ0/85bd7736FZPOBNAEklEiUQrTiSotBHoO9//f6L+40uzNbvPxPberzn2M+Ejvbm+bt1bHlUoAiBAECKbBFtclAZaWppIM80007/CnrHlWt2SKLa6ySbQbLJhCVMof/296TMy/GeOfd3eGpwscGUMInMWGec75z17/37PMwy+43Bzp1p1w/l2WG27YQhDiILEkqLITlXoy00/5YpAxBo1mYmmPZALPvgYY2r7PkTWxiARTVYgRFAocVoF8GsViyQGAnmtkXntZp0SeyLIsShtjGFoO7L5oso/+/zLN28fff7oyWIxU1oVZXb+6tz5ZKyalE5KKVAaAJRSZGmxrHoXLs4uCqvzsgQRm1kzNX2BI7PWahy8Vlrn2eNV848/vD+Ow/m274PEBJySyEgKQ5RcEWYqsOgUy9zWuUWizjOR5Ma6kOLr3xsoxIj8KzU3KIWKaJYREj09u/7q+el8ViGorIAbO/mPPj2d1fPdmckz3Zw3ScBYO5vVh7OyAP29b3/w+NOv4j/8u/dv7Dw9ucqN7Myyo3kWUjy93pSaV5vNt94+3q3Ls3V7lVgRKK2V1oVCTEkhAIa6zK2FZre6uGiMztM4EqjZvN6sVllVEHG1s789f5XNlt3VRbttZ/PZvJ7/+Gef/Pp3vo4IIaYo4IL3bvQ+ee85sSAhgA/Br9YmL4CIqVCk2IexH4iU1VqyLAlHH3DS08bUb7bGmtGF3/vt73776+/82z/5mx/99GMMLjc6uFFSmo6yIq+ZSggAkkTRdLGVmfn3f/bTm8d7//R3fvDl0zMXRu/cvK5cCFk+OY8Iicgao63JbF7ksyq/f3P/3bsHk4HMc0oCSaT3ITJrbTaDayYEUmIA6oextIRKPzm9XrdD14f1tgVEbZgY69K6EOhyO1xt+6tNf90O62bcDv5q2101w6Z3Y5DN4K+boR1CSMLM+LeibZxA6q+z2TLpTF9bjV6TQ/B1YgKmnx8Qhq7bblutMwKJQH/1s0/KonQJUVGM4emjJ0BU15UyFpQCwMQiqEQgMe8t5zHEfhyt0exDGFyIaegGrTUABOdZEhAmEBE2iG4Mzy42u4tiXubHi3x3ZndqW1qVEc1y7VIKga9ad771q9Zft+PZxjcuBSafYKIVMUtk8YnHyGNILrKPyYUJ48Vam4+/eDH27Syntru+fVxfbDrPcrhb7tSlEDR9l6vk+jaOvYE0y9Svff/Dbr0G724e7izqLLgUkleGQCA6vz8rlHBkIoBMIwIrBfPS5DrNMrl7WGvNs1oJQKFxUZl6UZhM1bNaGyjqUqPSAIbQKg1IvmsQaWi2KfBsVp9crP7yk8dMyoegEaq8QK1jim50XdumEGKKKQTXtuN2G9zQrLZ916eU/pairLQmEa01kpKpNhTjdtN854M3//Fvff+/+L//d3/9418aZAFxPqQYhBNLmoIV0ycBXl8kCpAAKfqgEf7dn/80N+qDr71h6tnzi+v9vUWW5zYvbJHnZVnUVZmXVVUu5/ViVu7vL+uqcK8Z9xITjz5se5dYArMiyAydNv26G5klxLC3rI4O9r56ef5q3fVj2Ha99wEJu24Yh3C+alGSXrcDIqSYjFLOKKVUTGwS96Mopbpu3G63AOKdA5iqsppIoWaRhEIizIDTeVmm/y+F0yh9AksBACRGEiRyPiCqvCxTHMd+uL6+iiFUWfbk5AwkhhDSdntw67Zi5L5nSRw8C2BexBCWdVFkVgS00WmyAnIUUuMwFFUJCaMLIGCt4cRXq6219o979703jxZVdtUMmVWcEqJyIYXIWulujCKMACFxM1BmdJ6bwcXK6sLipMIGxPjaizbFoVEpBEClVIj8848+W9bFTm2vLoO16mo7HOwt8gItpW4YMcZ5oQU4Sso0EcBib6ZIvXxx/v5vfOdxdvbF509v7S8ef/4yIXDi0bkCzb/7d3++mFdVXYQQnQu3jvfyXC3r4nCnOr1uKMkYB7B2WWarrTM2D8onsUVkJBjapj48jN2QVbNxfQGkwtAyJybS1v7Vj3+5LL87+uiDDyFaopYFtZ5ZG310kTkwae29Q+DZfNG3nfcBkBKnae+is1xIeRmQhQiFmYF/77e++1/96//p1YuT0tqx7SBFAeEUYaLNvr70EQFkkkXjr5ReIuJD3495br775q1m6Lrt0HfD/t5yGtcYrbUxyujcmqLIdndms1m5qAplTExJWAgxMgNIYc2sMCwwBh59akLKM2MGipHP103vQojJx5QQGCKh8SGMiX/65PyNg1qHxN4574I1uiwyJFCkkzACllprq2KIru/HYUgpKUXKGGWsRJGUWAlwQgZkYOHXIj5EAIYJQweAOA1BGYS01hD6zfVqebAX/NBttz/95PPlch4QTRSjtTCvV+syMxAZ1etsFqYIPv3sF59UdfmNd+//xY8/VgTMETwoYwOhcqPVVmkSZjc6YUGivBRG/JtH5//5dx4OLl73DiTNi8xq2g5x0wwKMTdKhAfvM5X5FNMIGtEnx6ALhUkEXtsTgEFASIRz0oawyM3nXzz7/PGzNx/evb5al9aMMd2/uSNItTHrMUz13ypXoGU2KzTh88vLL548r8riL//kL995eFej3TTjYnF0dLQ7QlrM8p//7PNPfvHTMfLhjVt40fgkbrv+5c+/nO0uZ7NcoVxfb7XSi0VN2lRV0VxeO9Gz+SylFIIjpbq2s7PBlFlyTpFKfuyvL9LhMSgqq/Li7OKTzx8f3bqZfCBNZVWBNnVd5cZeXF4pZZ4+eta3LSDtHx0eHx+evTqN3k+q8NfeIW1iYgBMKcDk4STqh2Gzba02KfhJSwUpAqhJJT4NRn51TpjAJQLMHCOSEuGuaZVS/+vf/QFp9W//9KfXgedFMbN5CEEjKmvy3Bqt67osMjPPzcEsyxS5EHOtI7NCqOvSatX7+OiqO113GiSiDCGOkddNP4aAApnVbbPZbhofQ7PaLHd3N8O4t6gVae0jR5Z+HH2gGKI22pg42btEBEW0VlvvOAQUIUKtSLIsSAKVJmEMATMivn7GTSrrKR1Br2tx2nCKkNJidxkEvPcmK0gRkf7i6cnv/J0ffPT5k7BxCCSIYegd5FpZnpSuIBw9JyAxf/qXP/39v/9bR3s7L1++nOoIE2hkFBEjKhGRSiwxRqM0IpSZbQf36KK5uz+7fNLnRg/OJxZFKkQmTYVV1pjCGqOABTsXI2utUQB8YmEhRZpQEbmQgvAs18vCKsKyyH7884+tzZLI2eXl7u5yb2b3Z/p8m1aNc9H7ftw0/Z/95UeFIQbpzq8uL9qmCbaqXzw9GRO+//47neDOXiXg1pebe3feyMvsq48e7T28db5alQS6rsXkFy9WMatenJylEAxIVVcXp+famrrIBh82nduYAvOcjAZk322uT2K1u6czRVmGfdOur6/r2fzOG1ZpR/j5Z5/ldTWrqkyRQNgrS6OIRZS186p69703X7w8ne8s5vO66wdttLBwTAAsiVGRcJrCasJJKzU6N9tdfPjOG58/efE3P/00hyQEqK2QAhZCIxwEI8eI8Ld+0iQMU4UXU0IRBPzn/83/8H/+P/yzt+/f+uOfP866IKC0IptZYMkyk+cmL7Kqyo/3ZjeW1f3jvXlujJ5gDmC0yrUCpNN2fLnurlqvEJjlyfn6umlDiN5HESkzM4bYjQ5BYuSQ+M7x3rtHc5eCuvdb/3liduPgBh8Tx5SYIaUpq8rB+eAdhxii4xTl9clgerdh+JXAF3B6uv3qrk8KXpM1FQBqrZRSxppqvmRWKXpJU6xTX67W3/vg7STw7MWr1/gWkBQjafWazClpQh0pZfwwkKK33njwxeNnBK/PlylGThymt/UYhWU6s6CAMaos8jGEN27spRB9SIOPpJUwl4VNibveC6D3IYlYoyYP5KKwGjElfm0RAWGWeWWrjDKtqyLfqfOm7f7Ff/Pf6zzvuw6Jd/YXb93a7V16dd1fX28vz68///JFu26qsrpxdLC3t3/3wZ2bd27O6tm8Kk6ePDt46/7AErrxcr1arcbV+VZV6mTbPv7kmRi+d/dOd32pDdy7c/vV2VVZKN+2Y9fPZ3V1uGeqXCscBgeAxIk4uGY7rjdu6Dh612x833LywjGlGMehW1/P9w9J0HVb17bG2mw2C85LgrZpB+dYMLEA4GIxmy0XdV0H553zbvRTS5iUntacIQSRFIMjAB/jwf7O/+6f/WcZyh/+0Y8ur1c0JYFFJm8pSJpERPi3uCrSiPiawaz09E1RVWcX109enf7T3/1hP45PXl1qRUora4zSZLUqq6KqyizX33p4+L23by3rrDCa02sbXmEtgASW88Y9v2jHmEYfnl81V5vtxbodRtf3Q4hp6Puryytl7di12ugffvjm73x472Cn3rSNHsdhHDxEB0lY677rQ4h5kcWUbFTAgUSyTKWgSMzrbRcCpCScJvj61IKXlAQYXx+BZHoVnpZ5HMNsZ3cYh3671XmtlHJta1GDUpT8R188unvzxl+iIoAkjEgpxBhjXhTBDYDAIkoUo88UPnt28o2vvbOcV6vra0KcRMJh+oRoY7LMWEtaA4PWKiZOMW268dHZ6sai3vSXWW4HH0cflAgIhMT9EEihj5JY6sIowm03ZEZZRVYrAEDAWWFmhR4DM+CmHepZ+e///MenV81iSV2zOjjaRe+Htnt21j55tY7B19a+9+DuB1976969W0VVXm/WhHxxtT66tdwr1L/5V/+6kggiQlxnZSyVUur09FoFByCU+PTlq7Yf9pb105cvnBvbbVJKOxfW6w3m2e1bh85bAZVlma2yWVVA4pMXZxfnV67t6qp2Yx/WHpVGFpMV/WZ1+eizgze+brLc9f3Fy+fzw0NKHKeoJJMIZmUxr6p+cGdX60zpJMmHKAKc0mRFC97HGFOKEiOKJGY05v/0v//f/Pu/+KuXT+22GxFxCiAAM8cgABDDZJNGgdfNYKWANJICIiJF1pLSidOsrs6um9PLq6/fv/njTx+1XaTMTrVrrchmmdXqzZv7t/bnmsAQhRSnxVKe2c5FQhSGrvc+pRji2ba/3DTdGGIIwbvg/ST26bq2FAjdaAiODuY/+fzxvZtHuwXqzXqbgkdJWhsZxxhjSgkJyjwLPlUZKUJgKovcIRACCnsEhSjCGAlEIoB4LwTEAIQiPL38TlpWUkppPTiXmBVhAk6cUCnWGlg0qdPL9d7+kS0KCSMyAilSwgkmfLvEOM1ZSRQpve3aTd8+vH30ZycnlbVputsDIk2VV1FESiutSWszjcMiyNW23anzk1WjSI0x5Vr1Mf1qG5AMUu8iCBPCLEdllPMpEkfmzFCulYA0YwSAmDBw+vTpq//3v/kPpHS72pR13lx3w7Ybu+Zy5R7cvfGD73z/3p1bu8u5CMeY/DhkWq1W/auL9nKzkasrVVZ/9Ed/+c3vfefpq8vQ95wkkViLxwcHs5kd3Thu27ysx20/IGijTTHTHAA4OTduNm1VJpTlcj66UGb2eLfq+3FTFzq/ZYtyGJzOszD0Osvzeu77QYCun30127+Rl3V7ed6s1v12ywxWq6quFKlxHFkk13rb9n0/eABOHF8/hGHsuxh8cIMkZgSIYVKU//7v/c5//Nkv/sOPfvGPf+fXx3FEBlAKEHSeua5DeS0fRVIg/NonBDBhCJXWyhhjM6V1Zo1n+Xvf/xBQrZvtN9++/6PPX1ijEVErNaH8D5bFN+7uZVrFqYYigChGkQvMIoOPfeDrdsg0rlMcfGCWYRx99H7o3TAwgDYGEPu2RwFW6quX55eXV12C27NK99utcGTvlNImLwhwAq8g4qzKdxdFHDthoxCZGafotsjIbMuC+wFTUgLAkKZdmDBMTdCpKUYalYrCPPRoLJBO3gMzmmyC9zKoPMvc6HNrIkdgh8CkNQiMXWPynLIMmZnTNE8mgWcvz752/+bh/s7l1VoBAkwNGYUCBISIWmmlVIrJDz5YU1YZT5BbbYIP4+i7mEhTbXSRG6MJWAbHgwtGKYLwq1MeMBOhyrTuxiTE3eBj4tm8+p/+xz89O7822g5DJzTvtv1bb95+740H3/ng3W+8+4Yn9fz0etP0ldWZpoDy6WcvHr043zncPXu1fvSzT/ww/sd//yfdEN7+7neeXK7Exdv3bpS5uX3joK7L9tU2383WV5em0Pfu3m2uu267nZeZVpTnehgDKv3iq0dlWeVlrpA3hqa3KcS4d7BzuVr7IUSvhFNeltXOzvLGrevTg1ef/Pjove8sDw9XZy9XZ69uv/0ep+hCMMgsklnbj+Mwjtqo6IPzDgDQxRBC8GOMITnP8tqmPozjw/t3dPL/z3/5r2+8+QaLYiCttWgTx178iEjCEaemIKLg60gPAQIwoiYRVIaM0daS1nfuHP3db7717/7i54Lwe999fwjhctUIKkAEUklgd14WmREWJAyJE0thFQh23hc26wI/uW5AqdKC9350PjA37TbE4IfeO095PrRt8MFmRbaoUZtPvnqx3a4xy7fbRvuhQxT2HixoZkaIIaBSifnm4WKueePIaA3MZZmPU/CAOQmwiNJhanACEnJiTpLihC4SmT7uNL0ykNYAaJQe/QCkCFGTigRCKrd6ubvQNgfkyAmBJ2oDAqQQUJHWRiSl6DWRQro8v3yiZGdnubt/+NVnX0himUrSpJQ1QOi8SyLWShLWoyJDLqbBp5CYEMrcDmPwMfSAiTm32mhljU4hJY7TLcdqiixlYQ3R4GOIyUVWRJk1X3757Isvn7z9zhsf//LT733vm++9+/De8d6Hbz/cqUtCiTE2m5aZy9xGjqtmOL/un7xal/NZrvW9N2//4Lvv/1/++f/14vzVN374a4uqcId7q/NVlhsUv7q+BkGlVYzsxn62f3y9uvRDM1vU86p87lJps+Cjzu2NO3devjg5efQlabV//2F0g9Wma1s/Dnk9J1soZZwf19crAVRZZqva1ouLL365e/ueVub86RNimB8emqKK7Od1pRX2LoQQxqaNKYWQACE6x5xSSinEydSFICwKlfrd3/nhxz//pTJZrkDD5BWhFAMickgEyNNtSUimwuBrfzkhIpKavlPakCLQ+ocfvHHdjP/+z398596dW0cX/+T778bAzy7Wn7683vROGb0zK0DAGDXt411KJRoEcokxxHYI5+v2YjuAQOP82Xo1+hijD5yiVVhUjJQUM3OMYWx9Nqvbjru+f3l2vWdJJz/CxIohjByNsZwEEa1VtVHCYqwpQIxR3o3CCRF48sIgTO5AUkEEYgjMDKz5V4sPAQJANbVMSWljlTaEHkwmr7NOUFXVoxfn9x88/NY33vvpLz/BlOL0iJh2yUlEMMaASgMn4AhkjNVX2+7k5OLtN9+YLxZds40hBu9tVXs3phS1NsCIpBKzUoo0zQv76mLrxxCiL6xRmlwfh8HXRR5ZEMM8t1Vpy9wkAB+TyozWNLrgQIxGpbV3QSUW5i8fPb3/1puLefH3fvP7X3/7wTy3szpfbbaD84XRhpA5+ejadeeii1FtuuF4f4FauZiMNntz+5/9s3/0+WefFgZMqXcPl2PTn51d1ntFqZUmajfd/PAgheBd7KMHRoVWZyYFFqWIY7PZHhzurdt+fX6VmsZE3nbhul9ZrbLZ0swW2tpyx5iiIBEkGkbPfrz33tdEePXixc7u/vz4eLFYlGXhfFB5bot803bDtmeOzjs/Og4RlYrjyCIpRokBmYUZCROHf/a//Id91/70oy+yLKvzzDnv3DDxCidUFCPwRMSaiuM4/SEgQiRFSKQmkyMpRYQfvHP38YvGRxj78b/9n3/8y6fHv/edd37wtQdj5CcXm6PdWWVU73xNeRCexiwiMsm5OhcvNs0whvNtF1nafhyC74cRihxBkL3nEELSRidN4oJrVsPQxJ2Dvmmv1IWazdTszW/FcVBKa5uJgEKtrLWZzTNbZJoIMz05NUQRaqOVVsKSEpNSpDUSKaWNsa8Ly9oQKdJmSjEgIilNSiMpVKTUVFCjqc4vwqgUC56cX/3eb37XjfH07FK9htPidHYkJJzicUhTDvTug9shQXO9adouRpdXtTIGgWTS/CEpJMRpBg0ppTH4b713P4R0vupd8M4FBFCEIUyVBtFKkSI1WV8Emt61Y/CBY+Io4mMKiVlYGbq+vvYxHB/sv//2g/u3D5vNNjgXvJ9qN1fb7mTdrMbgSWnSuc4QUAhiTFU9M5lVRMZQpelnP/lUA7zz7ltuiM0wihsNKJ9iVVQsfn93VxMeHewXeV6VRUi8s5yVma6qYm8xA2Ae+1xRUWV2kReFndcVkKp35kAqji6Nw9B1aezb7UZSuH75nILvtmuIoZzNttdXfrtKru+7bbtat+vr69OTpmkToOs7gNfR4pRi4jQtdCVF5oSEow8P3rj/9r2b/9W//LcGwIt8+4O3BMznj55r4OTdtDIAESQNKU2JGARQpAkJlaLpCtFKGw0EQPTh1974R7/5jU+fXn726KWIDG2/afuPHp/cu7W/V1eNC1mmytxYo11MLFJYrRRlWiulxhC3Y9wM7qzpGenVanPZdL13EcDOSlxkYwrcDT6E6AMgYIoSfezbfLGQlMI4bjZX+lcRfpyqWAhirAEEYW7HAABVpue18c6JWBei82aiovuQtA3TaTuJaJ9zjD4mjmHam8SYpt2wMKOIgKQQdJZjUqiAWUjrlCTLbNu0P/rl5zcOdn8moLRhYUxpWpjDtDZERG0ABICXy0XgDhBR63HbxhDIFibLxrGDCIiYEEkpFq9ACCEMcdOO+3Wxu8jPLr2kNI7OamWMnn49zOx8QNAMWBEoRaNPPrDVlBtlDA0xaE2by00U/OCbXz9eLoahScw7y0VmUCS1w+i9rLcelNKZ8sNwOYSh77ft0LR9s+kkkQ8jgoyDf/f+zcMbR5988riRer1pWPn1i/O6stdtD3HUCK9Or8e2O71YhegFkJCef/65zqytZsNqTQrawStNOsviOBJdKpv7cUh+FCJIYjMdBDkmTomiE0lXNuNpmEwELCmloqiO7t0RgBjjfO8QM0o6Bh+EBVJCBAkBEiMCxPSaPogYtfnOB+98/uUTAgJAwLQ3qzdeheC1VvCrNZBwEo6Qwq/GgAAI05R8IuoprUVSlhXvvnnrnTv7f/qTT66awTuX5xkLx2HcJPmrT578s9/8ZnW5Kq2yCgUgt3pZZhqRRXxkrcTFdLbtgmdmuN42q203uDCr54tSDcgxesgNzEtYtxBZNEWShCQhtGevKK9Cu1XsNROBNonZ+7Eo65Ci8s4YJYTdGJXCLFezMg+GWECNoyLUWllr+t6PwWeZjZFjSinFEKKNKU1/j9FM/pg42RSQU+Jh0MYEiIQgia2xXqIg2izr+tbNZooUQJpcBlNCDwFRKwRU1gDRjRtHq4tV1ztliGPQxkL0Enw3dCBi8xw4xSCIoI3lGMAYRJVb/dGz06qu3rt7+NnjVzExaFKGFJJVRESTNQMoQZBSa0XYOh9ZMYhKoIHbZmu0Mkp/9pOf/9n1Zrmz1/QNab1eXfuULq+u92Y7XTdutn1WZs7YL5+dBEZ2uKzMcm/RBiwqU5R50Y+H22b/8PjJl0/rKlcU2zHovR3SsZ4Vp89ebs9O9+/cckZ13dZaq23u2lZSqBb7YG23oaDMzTdvs8kG50oNWT47v9ruLaq8LBxD3w4aQZKf/LnJDbHtyOZMk0SOk/eG8I1vfPPw+Ebfb0XI2sw716w3nKZVJnBMpGgC/QswsCjCzoff/ru/fuPG4Z/9zcdWW5CITBer7Wy+Q9oAR9SaY5AJCsIJtQZmJHwNNkSgydJFBIizeZ1btajyP/7RL3/z1791cbUOfuw7QqRAZAjPrjcs6WhR5HnmndckN3cqEmnGAIBuHMcQDOFV0wojM183fXBhUdf5rMiXZh2deOMVtjFJZmS95cjsvc5NHO2wXZV5oRVK12lUGhFTStG5ZDIBiM5xlvO0/Sfam1VGk6IsMYuw0QSoijzfZr2PKSQZR+9DREXe+RCTDyF6F3wQAREI3nNMMbL3DpC0tokhRS/CpIiM4cSklLV2sZyjsUo84SS7AUBCINSalCJFpszny51XT5+aMi/ykmMiA0AICMoUKfF0uEQQSRGN1Ub7FI6Od/Isv9z2L67623uzD9+9fbFqnp9eI4GPHBQVubXG+pDG0fvcDDpxDNboYbM6P79QyM+++FzbzCceI3RN/+UnH9e37iaQOPSUZcYaThzj46yqFzeOoeehu7p9sJcrns/mZV1SVoSECVLK6qUGA+NyXlVZNnbrznUHs/mZa5XN9Tgaomq+vH20f376xeGt453lbH15jZrGAN3lZbmY7x4u1Gzn7//W9z/54vlnX50s9nYE8w/v3A+YQBGgvry66rf99mRb7+8t9+YBMYQUQbSm0PVKOCQers5NUTjvhq7P8ioMHUcGQNJKUgIBUpimGfZrES+zQFkXX3t45//1L/8tK0vWCFPqesfyxsG+MRkEhvgagSBCKCiIpOhXFCn41W4IRMQaNauK3NLjs3U/+r1Z/ScvPgXmEAIIICRr1ODC+brZmZWrZmCQeVVqxDHEJgSDFAO/6tY7ZZVb++q6jcwGFQrsLudgsRnGxU5Nwffeh7IQH1truVtJ4jCOKUVIgYdeqYzB6Dg6kCScghXnRkWalRZh4UQE1qg6t4QMxMZorRFYkkBV2CK3USBG7gbnfURj+mEMbkRFbnQxJhHxzieRrh2c89iBMCttMabpoZhSMtaOQyClfOJ5nZd1JSMIJ9YCwqjNhCxX1gqnRV0xIZFCIl1YCIk5clSAEllQKZyiFwjTRhkI7t7e/73f/NYnz87G0bdD/HizPbmu/u6Hb3Xd+OJipYlijCHGPIuAxIlDYq3QKAThrCyXd27nWh88eCjWRt+autqf7/7Bv/offv6TX+weH+bV7XwxVxb36qJrAmV073Dx/OXl7nxvnlECVeXZ6bopCfaq4mrVIMfYK8yxKPPZsn726Ks3vv62ZoOQhtYXRGD04PzOYrmYzd3obZ7vH+4+edSorLCZXV9v86rM0Z5eb7569HS5nKeETsUP7h26bnj66kwE9haLzNih2ebLHZFUlYV3ISRRhExDVc6coLu6soiQeG9vr2l77xMCggghRpEUIhJKjNOiE0UESQCKIkdDZDMOaRrpm8ysN/29452symMTEEZAAk6ENBH7mSct+2uK5jQYF+G8zObzsmn7V6cvH9zZj4FX645FgvconGV1Et5dltbo6WUw16rOTeLkmTvnM21SSq+27aPr5mg2Q4N+TEVp9EaN3i93l1GrZZ3TKBtfuW50xpiqDNtWujUDSAwAEGMw5SwZrRNHEMYYSNvoA2WISmmjpxS2NnY7jHd2Kq2IFEYWjYCASbgogtY6M+r0cutTAsR+sM6XVWFjjMyCCJmmTdOfXW/Wm+GCwXuXmKeaj6QkSoswp6gz3blotVouFi2/Rlm8phMjCgMpElFVVR8d7J+/OiNAIqLSSpxgbkiRE6cpkwEISmljNGj89gdv/+SzF5999VwjMrNCPD/z/+OPPv6977znY7pcbUSEAdPg6PUJNaWESavEJIh1UWhjRVJC1nnhet9AUx3dLA/Obzx8uNxddsPofMzy3Iu/e7x4cy+/2mx3FjUkf7Azq3P78vwarEZ2RWHRqCH0QUqb67KuLl9urDLPXp6tzs7rumwhJY75rPzFl49Uoce+e/TFlynFcRy01orSYme+vl6ZLK+KYj6fTXpkG1JKaTavlsOiG4If3bKerUj59fX+w4ecUgixtAWnZLUdvM9nlSoy1w3lfmEVQuLEjMwAkpxLKQIIgcaJkTTdS4zSWgdUSpmiqtfXa1I6pWiUOrtaa6t/8P7D//kvfkZKw4Q2SQk4TelgRBAEJBJBEUREk2fCqe2G86tN8kHbbN30oxsBIMZkjfExZYo+fOPOclZtt82yKpZ1TsA+ig8RBZph5MTbwa9jgEKpAqQn1HrncBFzlS2zqrCvVo1iqrRui9xHlshh3Yx9S24ERE4p+QEIlbU6hmG6nkREGWPL0ha5MlYrrTUpRK11XuQ+hGVVTNtphaIUDT4KAJEKIU0KtDQvfUiFNYakzCwj3z/cvVp3f/3p00d44Xy4vogMSQiUVpzYWIsiIIMSaDoXUzy+dfDI9Rg9IEVmTExKgUZERQRdP569eHl0sNdtG6VoolciGEBixSnGSRwoREYRWPUbP/hgDPyzX3xeGutSAJCASEqfnl78zafZ999/60/+5uOm6zXxVOTRSn7FaUI04BFGcMGHMrPAkoCE1aYb5vP6xo1bmdaFpKu2n+3tWqvUMDzcz2aGFmSCD4cHi4VNq22XELMsNxQPl9lVB4syE6Cx64pSj01/fXX55ru3P4N0enrtm00KnlO6OL+WFIkgxaCBTZ4DUr9psrJSwuN2fX1+NqsyLxJjKouqH8a+73eXM4S2ZQ5unO8fbM/PUzeAVlrrIs+ByA2DSpFZgCEmX5dZGAciQgFOjFPOMSUhZI4TtIJ9UtYQ6SGlr7/z5v2bRymyzQvX94ygtWrWm//i//Gv/4//299/fHLx+MsniCQogCz/6fgEqBSQIkJEYWFrNSGeXVwJAwvMZ/V6GGNKBsgYEmFmWczKBzf2vHfGqDq3ijCmNIa07keFJCytc44TGtVJJOKi0uki7ezNZK+8juNhskVm1603pEyW5Y1LSlOVU19JiCCJECF4Fk6CmoMXQNFWWUycYkikDSoyVue5RaIkdLLqM4O3D/JlZQEgtzgx8MaQ+jEe7tSJJSY2WoGIMlprvLOsq9xqwtKai20/+uic75qu7/qJcacUJ2YloDMrSZKPY0zfeO/e6dUqtl0MQROStTgt0RCNUrYshr4/vn3TGu2dEyDvWJlcmMkiik2CKUVjjM310fFBYczzsytMiTHEFKc6QwxBKf2zT74iY99/582f/PLjbgwaUIhSjDazAOCcRzCTAVAxJ2attfORKJVFviyzsb2wOaayLHJdaUGS/WV+c9e+Ol1tu+2DveNFplKIfeAURh2ao6MdEUkxBS8+uH4cq6JM3r/46vT20eG8zDZ1pazpLs85BJvZmJSkZC2Us1leztwYQNnry1UaHXftH/2r/xbIzA4Pjx68ubtbYfLN4PK8uH20++Ll+QiSZcbkVmlIMVpTsKRcqzyzQ+PAeeGU3DAR3ydmvYiId4ig8ix5P5U6FEhSGhEd4O/+vR9892tv/eyLFzrLXIjTHlPQKFSPX5x99PjV23eOvvrymX5de4HXEyEiIoWkQKmJJ0uIIYYsMzGyEiFl8qK4uGqACFBgUjIrXRf5+brJNd452BFJo09GUe/CEKIiaoahD+5gVlxzGmM0Rhc1LA/rlmU3x8HpJ/1IzK3EMSUGAKLCmCEvvd6mvICYUGeCQEolS8rc+zqCEJAIKqWNtUVZZUWROGmlAbH10TMf71Zv3dyd56bKdZVbhVhYDQAsOCuz0toiM3Vul3UxLzKr6MbObJZZpRQRlFlmrDm72jSD49eGdyYiIHqdmdZa58bmdrcut61LIkiojTZW28xkeV5URVEVRZkLUV3l1qiJim6tzrIsy01dFlVdZrmxWTaVJ7Isf/nqLCZebxpgTpzgtYUhcYoo2Pfd0dEhgDJGz+rSuxhCEGaljVIkzESkiWLkEBOLKFIhRB+D86Ffr7J6ZhazG/MMAJSERSZaUh9S66PhWBq96r1W5uzF5XxR55nKrCbEyFKUBoQ36/bxl0/QkGhTl5Wyum260I8CTAgJgCDprJjt7d28eXz68tXgPSg1tltFxIKsTF5VKSVNkFBVRSGcttttprWkGP3YNm3yod7b8UOfl/liZxY4xcQi0py9mhW23jvwwVtrZCo7wGuewa++KDJkRV4s5r/zG995++7t/88f/Pmm6zebzdRyneqBQsrH8LX3Ht65cfhnf/OJReEUJ4onaUNKaZsB0Wu2D2lAyKwKITIjgJDW3//uN1+eXK23HeLrKjlpvdiZ29z0g7u1OzdKdS6kJNtxEAFCQSWl1dagB2ZQ06rJaegIcqMQ03VIaxc6hst+EGYWOCzLse37vkdB8gFA7KzKF7vcdhpIiQ+CGoAFFZNOIADgB38tW6SlZtxZ5L/29u390igEIkyJM6MVkQiyYGl1iFOBFnbqrBmj0nmV2d45AMqN3Sn5jVv7Hz+ZP3t5aawBRFEYQwQWIAJAZWxe5ler5rMkB3uLrh2zhRVmq5W2JjMqyyxpMloDLXNttk2XZVYBGFX5v10bEwrg6AMzz+b1dnB5UWRZZo1yLgBPOW8GQEkCpPvN9vnL0/Pz634cZ7N6Z2dBPUpkjklbA0rFlLyHJCKcQmSjY2aMD55jIm37pr979+iwSK+uwyyjQtOj5+d7y0Uc3TakIcU8M4VJVWWvr7a39upx9CGAUnh2ub44vzJlVS9mzXZd1vWdOzfWH32+O6s2pxfz2SwvirPzyzu3jk+v1u1q25bl3u1bnQv9xblWCrOy2t3dPzror6+b9cp3vcDjemdnd285rSnJWoGoFIxjLyxZmQ9dp7OsqMrN6lop0JkOo7Nac1B5nmtlBhOUN0676DxpzTGlEI5vH86Ws3cf3v36G3f/b//mjwOA9zGFhERMiEpxiErT/TtHf+f9N/7kp59ZozEJ/e0zYAJKvBaXCr3eQ6AAuH60WQGkRKS0Jr6uzAOzIAECbJru0fOLdx4cGmsu2nH0QYE0PuzP8iKnLODoIzMsjU2U2sAxQaZQWTp3viJaGH05uFfblr0bXByHoHX24MGtrm3aGEEbTIlQoVIiqFmEJHIi0nZiTk0gDG21D8mHsJjVdw7nd5allil3hlGlkFJMbLTerbRR4KOa5RlzUkjBQp1nIJCAmmEUBhcTCtw92v8ofxlCFHQkOmkGkZgCoiWlZ3WlrL7abu/fv7Xe9sKRNJVWz+tyXhdZbpSiqVvfD3ESVheZKTTZzLbDSIhGUxJohzGEOKtKAbxabzJjbh3unZxdupFZgF97pgRYXEiDdz5yDHx5udps27osdnfnINBtm7KqEsnoQ2YNE/kQQZSIaKuToHMpQNovDQJXOZrYJVCb1gW/CoOjwhrAvXn1/Pl5cO3g5ZdfnKCCWZXNyhmo4u0Pv7Ed4g+1/Q//+t+a3HrRti4Pj4+S89qS80zG/PCH3/7xR188fXF+frW+cf9+7eXp+bmQRmWE4Wh/+WKzrsslKJWcP31xMmzXeTnr2u3BjWMWkOCVtquzE2XyKcBS1BUyx6HPy3pzdTF2PUc/eBdiUnmeFfk0+URAMTy7eaDJQPDLuvqv//Av29aToBu9JmIkECBStjZZZnOtnU9/84svs8yAY8FcUgTE19w0ESKFAAAswMYYAQIkAEGtYuS2bbTVPJUHEJMAA/Wdf/Ts/Dvv3n52tnp62WiNtTVbP75xvJMbbBBTlHXkAVSuqE9eAHczmzA+7f2WuU+cKYXAIXEcRwB6uVlVuPPemw9/3HzMqkObKWNJKVRaA0dMCUggpcQJEJP33SYVVVlUVWR2SdaNO2uGO4sqifiUhMWSGXy/6X1hLaFikD4EhaitWpZESO3ot2NoxjQG9iH1w6BJ7e8tSJHujIgAkTAn4Qm+M5/VQNBprbPs3q2DtuvrOi9yfTCvdmcVkaDSKaUxxKaPs6poR1fl9mCWHyyrYQzN6PcWdT+Oq35wjkcXOBlYzq1SKPl+nK/WbdcOnIglTd5NluSHHgnGvlVZ1vVj13RN09y9e1tr5fo+K3Ol1aS3JGWSsPNxoWlW5VldhtV6tRkWJSXvqzx/enm9Hfz6artp+zHSvMq2V50b/MHB0Z3bRzeO9m8f79Xz6mozDt5/8eiZ7/33f/07f/YHf/jevRvPLzaHe/shpMObx9vtWjSqotpZlN947+GqD9cnr8amIWXL2dweHrmhT8xZWdx7791PPn40mxmxthU4vHEncRgH1zd9XpbImHxQiL4fQBtOKboBOQ1dKzEI4S9/9JMiz+6981YUrosiMEyeK2vUbFF1rTu/XH33O1/zSfpu0ErFiFqrZHIC4RCKMjPWbpouq7I+JueTIUrWqImwCwD8n8AgoBQCIQALcmCl1NQQttq8vLiqqjrJ69QkgHBKE7Lp0fPzn311ao1FYE0KNHx478ZeVXfOz4p8KzhGr4gqa7chIKn9knqQx5sxJFYJamUa30fviCWF8HR19U/eeffJzs7l5TVZ3D3cV7m1tw80A4PSBK9VqQIc/AistDHVDBWpGLl34YvrdlnlwByZhxBExJAak5xetYpgWdjdKkNNY4iF0a3zF7277kJI0nTjVTtmyJ2LO4uZsSZEHrxHRI3IglFSYlao8szcuFnslIVh2FmWO/NytyqqXJXW5IYUqcAyxrRuXUgMwGVm92bF/rxILNt+rPMMEC43/eWm3fbDOMtHn2KIozeZpbrM15tutW384BNzipPeGGIIMbEMIxkNhMPgzl6d7u7uEiXnQoiMIIhQWJNlRkNa5qYs7VsPDj/aXD579vRot45+LHery1Vz+mqdkty9e+vBg7v37xzdublPZN66dTANe2OEs+vGBzaA15cbU+e787Ioi6vTs6+9+/bnzy8uLl68ePL88NYhgiHk3/7B153vvnh+xuMw9t3eQbUWvv/uw5dPX/Zd8/zJi70bxySjRABO80V29uJxGEdbltdn14LKWAukvFLA0S722AfXbG2eawVOYvI+X2ZHb761d+cOsnRNh+yrIscy18Y03dj1Q7GYz+dzRFFECoUV5ZkFZh/CfHcn+tD3DpW+deOwbVrCRNpMAq9ExCzCmlIEpYQjKQ3TxlIrECHQqFAr5QWrumy6xFOHVgQREifnR27C33z0BJWyeY4IRumdnepk3bx1Y5dIEWGmPAqsQywVDpJSJEN4qO0pjk2S3rkYEsbEIYVxjBFKkTcPFz+flZfamFzfuH2wO5+/OL/SSSGQpgCkrSC4ofOcqroShG3XhZRsYZsxfXW+tQpro5e5RRDPPAbf9IEFt2NsPWtSCqEN4ca8XvUuy8zJen3RhAzg5bbdzY0PaVZmRWERgJTqB/erIxWMkYfelUV2dDCfV3md6b2dcn9WzTPShForTaQIBCAy7FRekVIa68xkmgBBIc2KbPA+RV6UFqTcmZXOBxdS5AQiTee33bgdxpPz9XrTbtZtCNEHnxd5SrBtrMRJw4YAuNm0LsT5vI7Bg6BSChG8NXNVWa3OmxGb0QpaDX3XP2tXR4c7n3318umjk3ffefe3f/fv3L59lBsaXVg17WyRXw+DBsk1tUPQCqtMDUMaI3z7wb2jZXl888af/eXP7r718PL0NIb0v/jd3+gDf/b0fLG79wd//vOHRztHs7JdLjarVV1YbfPZbLeo1qJote5GuYoBLk4uYnAmr0RZIR0ZoVrkeQZkdJYtlovBB47B932e2avnTxHRFGVwPqvKgxvHfnQsWJRZacsxxH7015uOtCmXSzD67uHi4nw9ecMBycdorEkCU1FSac0Ai6rsRvf2Ww+ePH+1ud6kmHySmFhS5EiKlIAGgAmnMVVkaAoGaUMAh7s751cnIAJaAfPk1vMThacRY2xi1FqBRcPp/v5uYixtJoBG+3kWMtaX3hHZPqW5tk3wh0V+0q1diCFEYk4upGE0CRsXOu/v7O9+VRbK0uGyvr239+j5uSYWjJFQT0tv365ROMttjDERhdgxAhPuDtUXq8YlP7PZQVkokdXgt6OziPd3ZjcXdWlVSGxEt4GTwMW6v9iOj6+6Uuk2RI5pJ1MzyrQiALBGj1UWolSZLQvtk5xdt9rq471FbfWdvdn+rPAhTD5TTQonxwFRZCgza2iqFolWKgmjYCIwyqTkrdG78yrFZJYz52PghIiDiyeXm3TJRW6V3lFaDb0bnEsx5dZaRVFIUlIICSClNPQDIZRFHpkhsXduHJ0Q1EUhwnu781dPzrptszw46Lv2o598zJ5/9/f/4Xe/+42Y0vWqEU5W0zzPFODSKgAggMBAwDGmMYRmHCj4f/5f/n9fnF6evXz5L/7Lf3V869bZq1fvvH0XlZDErnMfbfzHz75aP7/QCgLw1WpTlNl1s7Z1HUmlceSxI0Iw2e7R0RA5N7lojYqYoaiqySoUOU2IAF2WpsgP791XCNv1hkHyMj/aW6QYLtfNwXJ+cnHtkwQfl8u5ENZ18f337mfGfP7s3Cg1Bq+QOEWdWaKUUlJaCYABeHa+IdL7u8svnrwwVUbOVzYLorqmFbbwWiPEiPSrdBfSROInzJSuy4KFJ+L+NMwQEY5hmrWQiiEGliSQTLGbWRVidF7aMDTOG0JEOLD21AdGHjh6ZAbgmMYoMAW8fISQKIRe6fO+mxdqf39BhLf291bDgEbpaQ3OhCkG8o6D09okhqZryZlyNu9GB1erW7cWx8UsU3rt4lXbyRgbF2LkXECBpMSB5XhRrtrhsh194JNN88WrdQKdUko+Npk2e7O5VbPSIoDR6nBZC1Kdm0VphWh/WXvmvbo6nOdH84wAo0GfONNGE0wPQQCQkIzGJAmSAFIUzo0SlvA6xaAmKoXXiVm0IS1KUMYQp6A0CATncmsnzaZ3TpGelfkwepnIpADRMyGkGEfvJaXpn9MYQKDMsp26WK/b5ydXKoXPPvtUdd0PvvfB7/+v/snNW7c0gAIurNVEmdVB+GTTzYsSga+GMJvV4r0H+urFWb2oFsvFzo27xf4ZPH92dPt2WZd0hpvGZVZ9/b37XdPc3dmtbt36WRfrUh3cuk0mG/tOl2ULsJjXYXfh2+1yvrjcbDOjfUyAervZuq5VWod1H4aBSAWABCg2izH2SLNl3Tf9rXt37t29e311RYCkNBK+OLtKAGWRF3PDSITyj3/9aydX3b/5609c7xFQIQVJiPS65zTVeknFlECpi9X6jVtHNqsi98moRFQXVfARJDHLpNt5XZEUABClNGqlFeLUmVJKkcIUGQSiyGQfipGV4shMMdM5s5R5prRyMVy0DU5UUKCUUkqsQEBodMEQdhwLY2jrCqQ2RB0TJ5GQZPTnq827Bwf3bjZAfPfG4fNffEkxaVUWaeOZEDItJKAItGEQP46ok6lKENX2/cmqCQXe2KvndfmkaVvxl6ttGuJbu8sQ8ScvLlE4pt1V766GsQ/8cttcjv3Y+irLN+ttWeSGQO2UhVGzXC/q8mBWAHCeZ4VR1uqdKg+JM6OWhbWKOLHSOtNAr6sVoJAic2DuXPCJfWQCRJJZbkprkHCI0ZAqM60QGWAIISSeHODORxYwRhd5FmJyLqCAUiRAkmJeWOTEpCQlJIqZCTGRUjElgikrkAQpcBrGYbtZrzs3hqGI4ff/we/+/d/54dtvPZQEEAOQEgQXQt+PoRs6N677drtaSYwRbdP13eAu1ptPP/lSAv9x/xdfff4iq+p6d+/kq8+zqo6iHz16nltbZCYz6vNffI6qwLK6HnxwG1Cq70bXn1hrEksCbJsmO92I8DiMPoy6yHRZ1bO50UoAilv3NCEqNEScYlZWQz8U81lK8f2334xEH86qDMh7Xi6WjIJEIJIZFVh++8M3+gB/8dkLAGAkAYU6KSEQUEqDpRTD1HBUVh/t75ycnPT9cO/uzU+fnJQZeOe893mRxRAAiTmhIHN8jQ9kAZye6FiW+UXT3z7a+/zxC50whCSSUEQZO7XKAUEpNc1PU0o+BEZwMSWWPDO982NKNtNmTC6xAIoAgcwUsR+BxSBBTCDAPsI4Pj2/+PWH96vK3jteHizrzeCUCxqSMAn7XpK3Ra2MTSBJhIwG4ASIMbHQF49ebpmd0ksFZ9EljFCY9WZ4erHhJGNiJfzok2fHy5m1+sU4no9hO/reucEFTZgbrZBGn05jb8xCUOZ1nmskhMJmRFhpICIkyDQRUiJhET0ZkYGSsIvRRel9an1qB+eSpAQisqjibskKUQRWgwuJM60mg5/RegzRudCP0YUkLGWRjaMfnZ/28joz0TmtFBb2tesMgJR2PrBAAuSYijyDxArEEnRnp4hivbu7O7v1/hun1+2/+K//MPWjEHlMbuwyj1eba63t3t6uc+Gi6Varbnd/buoqpGDJ5Ow328ZFH8cRQOVFCcq0bZN0ni/KPnHTjbUyVC339harTTcv7eh8QEPKzA5mf+ft2xnRo6cnT16dvfu1Ny7OV2OMN24czheV1erwYO/87PpP/t0fddvt8uZtmxVCZJE2qyuBaNCc9E1GKp2e9s7tL+dlmceQtusOIBKiLmuT2Xk1+5j7l1fdkBTaAgFIk0FNRMzMIJO9BBAZIM/Ij27w/Hy1fXjzZm5tSlEbHULIjAFABhEmYAbSyAKAqBFEiMhYDcr87NPHH755b38x3zaNUYpDYk5aK20UIpFWU9pXE3Wjv+7cItfNGLSmilRl9CgMkQvCAmUdxKcAJBnJMjcX68EopY0Zul4lJu+HTdM69/UHR0VuT9cbJQIatGiUFCkEAHauMzHgfCchKGM4RB9jkkTKaFRrP95Q0WjUpKvCoDZ7VbG57F65MfmolHnZu2sGlrQaxq7tDSEQrrru1s5uZu3Fau1cTop8SmOKnuWd453jRZlprYk8T04uFKQuJB8TABdGZ1ppUpLQcdg6f9GOIeHoUuOC80kRIOXDGEgpF9Lg4xp9YRUIIIhV2oe06YbRp6nYpUgpTdYopYtp8AxaTTXgaRGfmIElN0piDEOjOQ6rdr6zM26uu9Xqwbtf++jnP7v95ptd112sr7p2IDTHN3Zj16Wte/+tB10z3NM3d/fnY8Jffv6yO7m0lZLhMQAAgABJREFUhXVu3GyHal6OafPg4U02+P6d47PT9cn5hYyDLWYxCrEAiWT49v07x4v5vMxRvLs1r2fzi01vkG/fOPrLn372zv27n376SGL81vtvv/fWg3XTNG1fFSYviqdPX336k59/9tWLi1cXWW4vHj9ViMaY5D0niALV3h6Cbq6vr1+elMvl5mrt+v7g5jEKdpdnb3z7W4ujo8cffTY27Ydf/5oXp7I8JjZGiVAIICmxCCdBAqVNTAGADnYWhAyCo1BdFWWRNWPSYEAAFRlSKQYkSWEypIAwk9YoDCBFWbRdrxR/+uRFXtimIUQho0kUkCJtjFFKG601IRlre5cev7q8ub9wMRqTceJlZjcuBOLamFvKXnXrMEHsQCpjLnFUE1XEj6CJlVqW5WePnn7w8PZmOw6p2Z0VPC61nc/SegUGQVtAnBpxkUEhqVmt6jxfzu7sz11uDh/sUqW+aPqS9EFV9hDWFfcW+9YNK7+9vgTGq3EYh0FcAGaFFLsBRS7W1xBi224VQKbNZlGPKV1s+83gf+vdO7eWuSWjxQThi6Zb9a7zMdPaatUMDSLu1UVplAshJNmM4WIzWKUj83U74OtAC7qYxhAlCRHkVhsiRPChBwEXIqcELETKaJhVBRECSJmZ3qfRkQCQGO89KmUQYozRjZ6DE8hsXh/XF02f1Yvl0f3rYSgObhY3bt873Lsxz3/y009Ja8qy0Iz33rx3eHzTh7gd2hfb5vzV1Xxu7tw7UpnaqUyK9GrdVjanTIOiRV6sbXv3eG9zeb2+bpXGfuwKqd+5d9OAG9r1fr2fCD94eHd/VrUuPjm/imH4+jt3XpxdmCr/5PMnX9fmx7/47Ld+8K1mff3f/8GfPn15hUbnGg5u3kZblbkZQuCICDKGgEhg8yzPFKHf3RHvy3qxc+MIgPOqZO/e/83fNHWVWXvflLOdvQ+/8w3z4uJHHz+WlCay5/R2SkBA8JpXiYQAE0HHZhYEFGFR5euu00SoKL5WZQMQCUQEIkM4nX5IK8REKrDoLNuOoTS6KPOuH7VWzAkRichYq7VWpDShMcZovW5dO14UmS4zTYbmeTYbxo4lV5qdK7S6aJwhCYm1IkwJEBkYggellFZK63Xn2sirbaetWtblZtvrxBHqGpC4aUgXqiii98rEQGRnhd6bwbLavbuwe8VpTBcO2HE+wycxXPjYe4eEG0gjyuAdsUTvjYDOlSpKZQ1J7S/WZ49f+Bh8cCrJLC9ky7Mqn1dlO8ZXm/7Wsu7CCIAsYJQaQlr3waextCaxnDb95snFw/35QWVBhJP4JOdNMwzeaCpze9WMLiRFOIQwuqCJZoVdlNYQtT6OzhsihagzG8HPS7tT557TosrPr5vzbd92fUqCAEOPSUQpSkYlq3MuAzMzJB/nuyUgeedtXR/U1eXTk+H8snj7/pPPPj559lIhKWtZZe998E6Zm9V2u390+PbD428+PPj86elOlR/tFr1Lf/GL50O77bvxxt7OyxcnPvKHb93+KsbN5abYu/nkyQsAmClZzJfrbffq/PrwxmHnfKaQhUhgcPHu8d7zcBbYzPb2Xrw8jxK/+vSLzbYbhjGv6t3DvZ39xTtv3PvFx491ZpDTZ58+tVmWzxYIWC93dG6G7arrhuDHamchwbnRd21//+2Huwd7BKrrtmU1R22enF7MDVpFo0hKr2VXEyyHeRrY43Qiutp0SpHVJjrvEyAQkEoxkSIf4gQJlJiUNsxpsksAIBGmGPvBaWNRadf1uaasKEJMSmsEJiJUpLXOc6uVBmYETDGdrVpBmRXmrVsHy6qEyLtFQdEL4WroSqKQJEPUiowCQu69M9qMDDCOaNQQeHeeN03fB79fVcOYkqAOQ8+SEEEjkTZISlBDZnSmnYZ+HG/VBy9yxWG4GliJsQKji9fB5cpU2n5xduk6J2cr2fZWII5jWRXHb95Ve5UDMMyPN5tQmsvmKo5ulldllrXDeNW0D27vf+vB0bIqtj6tx9GFeNkNS2tdSFsftz5UgSUlBnjZdZk1KSZD1AxuDGHdDlerxio43tsJUdZtb7VGgTElQkaUWW69sEYKSUJM88xoooC0rItbezMGGX20Rs/KfN2V2270PimicXSolAZJiYA5m8wLBMzMQFTmnGI9ny0W1dh2J6cv/+Hv/31J6dHjl1cXF20bxPvl4eKtN28cz7JZXcxKyyFN8N3ZrLxzWD5qtlmWPXhw59mTZ9R0z5+92Gyv93Zz1w87y7I5O/+TPzz7+q/9mmvGy/Xqd3Z3b+zvLksLgnVRak3z0lSZ+sM//ul+XTx7/kKYkw8qzxUhe58Sb5vh7Or6+ObBxfX67q0bZ69WorP5wYFSOvph++rMj/3tBw/e/cZ7eaVmulgN0Xs3m9VZVrihF4ZqVmuTjUmKymRWx6iZOU7vkfD68gdAYWFhIBx8JMJMa2utMbobgiU1poAwLQsEiQA1Iig0nNJkzBDhlBIRWUPeBRIAVMZAXZeAYMzE1SRjTJ5nWhEIIKBSerUZlMbEHGKc5XbV9AQ4z60HEkL0ws5FMBNAoSqLdtOACAGC91oXhsyisD4EUnRzf/fErxSgDuMAE8DFaNaKOekiS5mOlfXRa5tfq9i5vhlh6KON/bzKV31f1bVgenl6udoOsGlotaIxhARVWRy/dZf3ZsqS4ZSGqOdlEpZmiywjqmuX5ovFxbb95NXZ+2/cmM3K/3hyftKNfnRVWcB1q0mtRy8svQu99yzofeqG8dx7J5IDnl1vTs7XzvlZnSPSy/OLyGKNjjEJwizP+pBO161C9InHqduujQXRWmut52UWYyqMrnPrFtUY0umqfXmxIRRFFFMSgEQkwoQIKDEkH2KMTNporQi5qhdZNa+LbNNt7+xUv/WDD6668fT0sll3ZW4Pd+Z7M3u8vwTUmy6RTuWsvN4Mu/sHq43Ll7Pd3UXke59+9fjB3Rsmr54/ffr5Z1+VZTHf2QXmlyeXeVEVi51nLy59/PhqvVZJFgf7ifnqevPo0y+89/ffeutgdzmGwEjNtkdSidMwunxeByEVg0E+OTnTmcnKYpaRCQNZuv/Nd994cMvmOQiHYRiEZrP68mRj9vYUiRvHvKw1YpHbeWGHwYOiqjBGYYhp7EZAJQhpKg8gCgoKEipE8CF5Bdaqw0X5tB+s1j4EjYolTTNNAJzgcDEycJoq9gKijFZKF4VCRZlRRWZfI0OnTSegIppStCxQ5naCsqFgYHbekyLNUlt92nbLsnjZ9UooRUYtisgopQE5JqUUCBKLJlkU2artT07P/+4Hb7m5PzqotQgjIGotFjDLyWpRyrvRjR1xhKPF2g1p7QYXjU9I6rRpJc9F4CKO/eVKjZG2PYegFM0P9o/uHcdZPqY0rMf+atNcrk2zhchRZ2RMtjv78Fvv9edt6nzj+afnq62hVXCPNhs3+vHV2fH+Tq5148alyrretWO87gZkzDNzSbBqhzT4Ydv3w1BlWVmUF5umG8d1N+7OawBo+1FYUuQtSl1kiaV1XhENoz+YF5nRxugQEwLkWucarNHjpk0sExsLkIIPPCluhKd6ZVQps1pQBR/LogCQ3Oqk2Ri9t3PnxemroxhvHi53ynwYvFVUZLoN6eOn10nSZtWWGc2rm3Vun59cf/qLT9771gdbs75cdd9878122xzfvvntb7z/6MunyXsy2eHu7snJKe+rneXe0LdDX37x1fOri3W2mM1ntQiynZF0SPjbv/Pbz58+++irZ6Td199/59lXT3Ojc+HU9nfu30v1AhH/0W/dzCtbVvMk0A8+K2xdFudX27OrDWNeVuV6dVXMFmWRD12H1oI2SitAvnWw+OTJqQbU2ggLJyatMCETokDCCIQiyJwQQFiAU2T4s59/8Y2HN2ymn55cmGS9D9MTA3HqArNSKnIC0YoQRIzR9bwqygJTYuCdWW01GaONViystA4BUoxZpglBIdrMjC4ggtFktW69V6SsNmOMVZHR4LrgrdXbodvROWllOREqigxEgoQxLudlVmanj19e96PzkbT6O++/oTEk1BqR9LwSm5NGP3pGkG4bFcW+l3PPRYaRefRbpZATlNXQdbHvsBtjP2AfTIzF3tFisbPxPqx9N7r+emN9sszD6dpk5ta7D5qr7s0PHnzvwzfc1p2+Wp2fXF2JXLdtk9wmhKOiCG4MBnWuRweXbty047b3znmf0v1bO2fBfcrRuB6v17d2l/uLxcW6iSFIkiQyhsAC3ehQIGTeaBMCK02R09nldl7mdW52ZoUIXm7HMtOaUplbYWnHOLrwmigqoHKbpjscs6AgKStpwmKqqnTDUFVVTGlZV/3oUfj2nZvttjlbj8sqPz7cSRxDSobZZNK34+HR0Y17h9lsB0kPqf3aN7791rsPCeD5ZXP7cP/nq/W3P3h7N69u37795PFXijBG/93vvH/39vGPfvn4vbffeHJyKYBlmW+vVst5eev+3c2qCb29vLx8cXVQVzMk7WO6dfvW4f5R78bvfe/Djz76/Pb+Xl6WHcevvX132wxkjU+pKovKaB9i2/syLwFJCNmF2XypWPzosrxIIWlTGEXepyEwaUoxKlJEyRidKEECBEgiKURm4ZSSpNdAcMKrq+avffpHv/51Y/Sz0+sstymlX6VvBRBw+swQKYWZ0dYaNfl9QXZm1c29xaIup0I2EgFS2/uYxGhUBADofKhyG5lRCQEOIc2sFpDIkYG2w6gkiaQxJhIMXlIATGy18UJJEQNnCtuuT4geZdUMl033xq19jTGC1iklLC0Dh34UASSBxkOR8/qaG5SyUsI8jElpFIBhFKVx20qI6AKNjowx2lxtVsM2maoYL64KxHox74f+3q+988a9G6LVdt3v7y3Pmi5H2L+zy7m+oNj5/rxpjk1x7/Bgfm//1TA+u9rcWtSpGU6u4ourzd6iDCN/9vw8u79/IkMtfqfKNoNv+vPrbQfeWatNXmy27dAOkRPWM0ZMvcusJZRMa+eCmhUCwAybflyz1LkpDDXOI6rAbKzxaYooTp5zmdbJPOFIkcBMpF4q88XQdot6DgCLMmuH4TCfL2c1AkZNV80wL+2irr1I07l6t/zW0VGRZ9F7UfgbP/zm5fVbm+2qbbfz0ipSwuCacX5wcLQ3f/LcIIrJq/l88cHX3v3s6dlvfOeDvHh8sW7ZJ7J2d2dJKEZBuVxsrtdt57Sh3Z3F6mp9ebH6xrc//Mnf/GS3LjJrTk7P79y9c3l50d07Ws5KUnoIobJKEl9th5jicjYPPjo3xhjrohj7FrWZtDcImGs9xNT2TlhClMRcz0pOyfkwjG4cPIjElCQlBpn0hwQgAFWVJcQvTzcPb+633UB6QukxJw481SpeKxfotX4TjDWQEhj1ww/fuLu/2LRDZnUU6cYw+rQz10YprTAmHkZvjQpJBhcQeYw8jm6+n7MEo/ByOzLQPC9frs6JARIMPjWD04IZkmdxSFrDYl5tBmcQQ/CfPj25eby7W+UTcpAFMY4OCGToCRCjQmZWilcbEJbKSYwcExrLSNgNjIB9TyEBI6aEQOMwtn0Qja4faNtJXa/a9uje4cNbuz6lvgudcAbggz/KbNsPXY6NxKZPl9vm3l5Z6zS4kIK8vVzMjT4PYV5lVV1YQz3IWuN2u/bOgc2GGnjVUO+6bSvR7x3ujb5velcc7giLD6AIWSvgNHQdARZlURRZlVsXw7ZPCmndDTt1bjWNIbRDGAbHAEYr+hXY/TXZcuKA/wp0jQQMoOeVd+NiVilNjOhc3JsVzThWeQFUjOPot0OV291ZHoEFcVFoNcuTT0+enmpNbhjPLjalxuv1erm7fOP+3ctN+/zlKQp0vfvO9x4+fvXsN/nDB2/cCcnvzfMqU05rYlDCOkKKcHB4MDR912yvut5ok2Xlkxen3/7+t2Lk88vrPM9aN9rc7izq/VmtkDbDWOfGjb4ZfDP6CUmpjTq9bGxVoaLex6ysUJisTiLOx7qwmbWkHKokSXwMZWZfszpYtFHGakkpiUxqFKVQk84LWy9mkOmiyh/cPuy9j9MHgFmAQuSUXnsHWcA7l2VWKWLGb75x7wfv3Dtfb+syI9Jnl5vrdjBKzQvLiYcoY+TRJUDwzCxQ59antB1GbTAETEJjDI5h9MEi3JlXZW6eXa+HYUjOc0w6z2LXFVmGKL5tc6uI4eTyene3LpXRIoIxAXnuOiBQIRAzJC2AMI4qUQoeh4CSUBCMJ03MjALKO0kiJoOUApm4WgkKZwqYIUqftrI7j0nO1u2qHbvOL2b1nqIyt69cuBr9qms5JGYOXRqWHBRcDhx9Kiv7y6v1zSxrQggcmj6oRV49PHj04txiHkgRdxiD8YElUWbz5czszW8fL9eV+viLJ4vetynanlXrwuAVUZbnXe/W7WAUuphQMHIaY6ys1opSSkqTVTrxhP3lSVNLOD0OgJmJUITx9VoarVGjG5fZ/GCnut40SXg5K4P3e/OKc40A22Hstq7IjMkVAyUXM2s8o0TWWTa0zdG8uLy8mB8c3jzaW202v/6bP/yD/9+/3Xr+xodv9c3Fp189z4x13nNyCIpIk8LRcVaru7dv78xsv6zXm6ao6m7blLNie3XZ9MPe3s6zF2dHx4frJ89nVT609Mnj528/fDC6sG67mKAd5WLVEmFgYZE+xKMbt4Z+yGY1JMiMsbkdgswqs1tkRiMhTmCoENIm9FYpozTkvxoBTZzwqemoqMzNclHPypyJdhdVRrDuB0UKQBQRAI6RexdHH6KADymmrMhsTPHX3r716+/dvd40Y0zzqnhx1Z42I0fOjNkMfvBRT2g0Y0Q4t0YJz0sdQ8y0Kow537aLqtwti89XfZHZ2zvzMUmWKZ94GIPyXmsteRGMXi6Xu0URc7fqnAa1XO5crDfXY68lRiCCRORAQCQJE2GMZDIBlGEAH3UAkISKwAdAIREQoBAYiV+vSjw3jaDAoABFEkGZc9OfvDwd0t769EolIW3Pm/FsE7b9GGPsr9eFyDKv87x8sLtYdX2IOM/tV8PYAFy0Qx9iL2kdEy3K88tN1/k9RXuF3Vyu+3GYF5m2s6quYpkfvHOs9srtq9MH+7W4dLUexs12R6nFYm6VSTH2vduWVkR8jJzAWg3otsrf3ZvPqzKzmplHH//WjqMUGSVKKWFxIU7SbAHRRCwsooPW4zBUeXawUze9u1WVmhCFy9yISFXMXeDRhW7bHs+ral5v++HejYOxab54/FLSCKZuxvFmaUP0V+vVtz5478VXT//kL3786uXpD7/3nf/uD//kvfff1kgHewuTZ0q3WZ4f7C5ImbtHy8XcGqt++pNPlFHeKpsCRd+3/d0bxx999PGbbz7QSp2fnedZdr7qbo7+YtXYPCPSuZUss9YYrfTlZl3khdbECLnJAniT2So379/fJeBHpysfePR+sianyDGmHgOIAAr+rf8WSWlCwiK3OzvVjb3lTmV25+WisL5Qh6EqrAHEq23vkqTOWRFjFeJ04ECtqcrMd9+6vW27ZgzGGALc9L4dfK7184uNNbRXFfOydImr3CgCrdXoQ6YxJF5UeUyxNNoQbJ0fU3prufz4In51cXmDy8v1lt1IIsZo3/d5UYLSGfCDw/1Xnz3GTG/b9dfevO0hahSGmFBFAMQYQACqGUQv3mNe8OCABWICACEErZHjlGuVKeCRWEAhKBUTg3BmSQCNwWSg67hQ61eX8Xqjq3qI8fT6ethsOSbxkZxXyoxGvnv/GFHWgUegy3F41Y9zo35ydtlv+83gYl0ywObsei+zsyp/ud6WhV7cP7pxfDAvlNJ2dMEZoHH4+ry61vq0dePpul9vhwj7+WyZFzGlurSX62b0gVAZQzPIO4Dj3eqN40VmrVaKQ+qDr8ssRnm1ameFyQzFJE039i64kBQioEycuiicZ5lzvmnbo8O9PMt6Hw4X5ejGXBMqhQKFVcXerOuL1o1BMKQAnIhd324FuHFcFtWyWqy7nlVWWPvGu2/8hz/9y0fPn997cFthur7ebNshhtZtV0SCKN/62puffPYCIS3KrM7Lx49evDi92t2du643WdH3wzu3b37yEXbbVmt1vbp+/613GrderTtCZZWNiQfvQ/BWm5S4a7vFzsKNY1mWISQklWXqg/tH56vuLz593vSOAMbR+xBi5BBS5PSfbKAIWilCtJZe8841PThcfuft2xqlyk1M8DL0dWEKa744XTOAC0kE5rPSKOoHH2OyBg+WdW5UCOGqdZt23IZUan3dDNu298Y2Xb+os7tHN1edv7mc17kefLxqB0Rcd67O1TzPRpeszi56t3Zxz2Cu5Fk/XDm3OhnaprOZQaBxHOIwFlm+u7s8ONirWNw4HMyXKYxHud2ra/0a4TIyFYoEOAZ2TilEZgkBhmHCfQEp0IQMkjwCioAAiwJABWlEZtAGhEmYY8KqJucAWS5CRIDEos2w3fTbbdo0lOKkHOxLc2d3AQhPuzG36kXntqNXWvVML/sxjaMHQGv7dUuQKMdNjA9vLAtFV4n6KnvnYNaNTnHmjFYcXg3+vBnPnl6E677UxgB670bAsshSTJuhTz5arWezshvHzFb3j/ceHC01KUPoUyI13ynsdnD78yLXxCzrfkwhAQARsUwCMVEKNagkktmy78em6e4eH2yHvnNhnufO+f2dReSUabIai1mVoOh9XDdhZzH79NkzRCzzfBz98eHBrcN9A3Z7eZ1yVc7KneNbbe//6ie/zKx5+vjJFzcWdWZOXl1Xs8paTQjKaiRVVPVq3T68e+PTL5/tLmekdG6yru18SHt7e5cXl0WZt4NDEUDoB2eU9pEHH5vBK9KoMESvrVLWaiRCUIyJcL/KE9NPH73atH2K4mNIKQUfEkNIkVlYeGJ7G6s14mxWKKLEYq19eHP5D7715rywm6bXSn962fiUjpezj55fM4gxdtv7nXk1hnC17RQpIpVnZtX509Vmp8iNUleDf3qxHlwYO79qu7zIAeCt20fWmh1t9uu89/FsO8wLPfjoE/sos9yQouverwa3tKai8tlmoxNrwZPVBlAxx3azKYwxWRG8+86DW5XWf/PLL/Z3FoOQEnp46ygT0CgEU2nZOdQaWcCNwgxlrRgkBEKC6EBbYA0aRQA4IQhzAkhorIRREovNQeQ1GW8YIgdEoKBEBEhF1bEkCVG5gCIAQLO5EolEX2waIhzX/mTdapG8tGtO47b1zaiWu3EYIHKV24Hhxjy7c7T45Lo7G/yNvdmLZkyCqxBj5K0bh9VmfdXhetSjN4F3qwUk4eidc13baq2s0qMbfXAP7xxXZea8f3HVGqOOl9Us17kxCmhZFUjOJwaQIrNVGaIwEjEzgCC+rrAJIIvkO/OuG9bb7fHB7sVmK0ja2hDivMonh09IEANnCquMus2q6XtryAe17cYbR/sJI2pNyvzy48+fP3l2sKwef/rZ5cV+TqyJ2s6dv7qo6hJEEJLS+t69W8d75dD1vfdv3Due18XlxWWW5YPmPM9fnV/cvH3jky++/OBrb3/5+OXgw8xm221fzUoJwUVxIXHiWZZvLs5tXSLpMjMSgyG0xgwxjcEv63zbDj0HBFFIZG1MiRQCCxAaorqyhdV5npWZDszGZO/d2Pm9bz3crfInl6tC6/PGuZjeOlq+WnXGKsV0sekOdmdd7zftsL+cSYJVOzw+3USEfnA/eXqxN8tX29654EIUwtms2puVH94/vrU7X3fDIjeKYOviss4tybofBXFZ5UZhFN6MQ2X1s5NzsfrN3UXThUcnl8Oq0Yh920Y3RueVtkfL8vtff+t/+uufdZ3XeTk39Btfe+/W3s4vX1xoMhWGLjFA8iyCIsSMMXDfqLxSKgthxBgmhwbEhGRAojBPmT4WphiBERhBhCesuTAkA0ZDTCgMxjC00jWQgBEkJp3ljD3tLE6bRgZUAOOmiaRYeGgaiV5dd0myFCX0bWbNMHizrLgsf3S5fbXqd8rZSe9yRQ4oJNk2TbPtsOvQBwwutF1qRhwCAlpFjQ/IPF/MBu/7pi2r0mYZp7Rphy8i78wLIXV4a9d51wV2XnofNs6vOk8gM6szoxUxoFbIhFhkJiT2iQGQhQs779phvd7ePtg9X29mVd0P405NxiABsogh6MbRijRdPw5OIm/bfn/v4Nbhftc3xaJy3XY5r/ud2Y/+6q9Z6a5vDw8PMmUef/l4VlWkxQU+3p11zZZtboxkIFoYQjraX37yxePdKdhn9ItX57/2rfebfigza5A27XCwnJ9erWbFTkqpKClzJsSESZwby9k8y0xKiRmIyLMMzh/EWFlV59paxcmmxAjCIgkQRYigLMyizBaVrWwWOR0squWs/N79G5nG59fby87dWqhVPz44XMbEUXinyn/+9Pz+4YJZVv3w8MZBN4Yvz6/awamp54Hql88uduf5N+4eZkZt2tELsMA//OD+si4eX7V2yoKCCPBhnb287lhgWdg7+wuXuHVxGMZMFZ+dnv/m199pA//Bx4+eXq4hhLEfeb1B5uBDr9R3337v9HL94mL79o2jk/X6n/7a9/aL/G++eH7Sbae6lUocEUT8CAKoNSuDMcrQkS5UjCkJSgQGEEaLwBGmDr8kmjQIHJABURQIIwpH8h7ynBS+VoWPA4oAKUIAREGdisRE6WoFwgCctg3UsxRC8k4lxj5xWYT1isdR8kxC0svy5WrT94Pfum2CJLlVeozMMTQXq+RG5Vxs+qwbs26UkFq3RhGDmFLSRKRAIcYUQVHT986RVnrVu6TocMlPLjcK6clV03vGlJTCLy4bF/nuXv1wp0opTZzTwqrC6u3gOxcEEMn4kLJl3TTtdrO9tb+73m7rItt2w+39peOoBUWkUHSxaprt6LqxiS4x1rNq9IMg/egXX7188jSIELGyeRSIMZyfnhqtTy7O79y9W5VFadzmev3xl0++9e0Pl7MaBfrLbY6gRJC578coMjgXBJ++OC+K+vTicm9n2W7bh3cP1xu6tTcLMXmWK+jzunz26qye1TuzeYzBJ2SiEKMgA1IzuMRSZFYlnpzQSGiUEoAiM7NMLWfZ/izTSq2HVGX6w7sHizKPMZ2143b0IckYucr0PNOPr7Z1nj+5aOqquL23+OWz05v7S030/HIdUtxfVgTY9OPO7qwbvUgqrVZ1URh92fvD5exoUTy9aqJIjqrIDInsVrkidD6UGm/v1qXGde9HTqU2qz78g+98Y7XdfnaxOWkHgDQOgxpGjAwxilAchp3lbPDxeG8vL/N7xeH1un+1WhHjGwd7Gn0nJlcusjCCoIgMA2QIJkvOmXqhqqUMHYQAGhEQQpAUcKowJwaKE/waDSAp4YCTIlxbVBZ9Iq1ldOIH0ZpIgTDlOWYZFFW8WiWF4oNSCMOYAmOIEhM6L3nt2wbCiIISIgCO49iftDwmCZFRwjCAYACJfSdtr7ohsZjI2DkIcTJbacEgoq0RYe99bjNtjDCP/VAsF6u2R4UPjnaSDx9drscIZ80QBHJSGqX3qcz1124uZwpTEkApMj3Ls875WW4zYzglQRy1Gn082Jn3/ei67nhn2XQtEmzafjkve/brbaOR113fbNfCQWIiHguSuzf2X12uXr541gce+ubh3aN79x989MlnQEAKoa6NoslLsN62V9dNXs3+45/91U+M4pTKujCkm7ZdzsvLy01eFM+fn9y5e/vJ46eHR3sfff7k+9/++mbTljYLiCnFvbq47l2ZGeaUkr97745WKkVJSfUuesIorI3KjVoLZNaID4gCgFlmyszeWhZ1mS1Kmyl0US42bZZnb97Yq6zpxzDEOIZgFDVj6H06XtaAUFjtfOp92p0X/eiKPD9azn7+7KwP4fbufKfK1707XBTOM4AgZZlWwYWDRWW0fuNgZogY6LDSpVWVpcbF3Vy7EKvcEnBllQ+JkFDkxbp5/95xdOl0O/zRR4+VUi5EFGCWJIAhidFllvWbzt5XD2/tX12vLeq/+OUvf+PXvr5aj75nTdoyMyhD/cjGkFL8/6fpv3ouzbLETGytbV977Hc+Fz4iI21VZpbr7mLPVDebzSZnRl7CCANJEDAQoCvd6S/oPwi6kCDoRtDFABoR4pDisMmh6W62KZ+VWZkZGZER8dljX7v90sVX8x8O3rP3Xut5nghgDADDvArtjldzkZW+2aBQFDxwRAAIie7SHzEgMEgRAEBlGBMhYfQEDEJMQBA9MUDrIBKwCFKkrsfjE7KWWktKobUJgLyHkJL3iBwH4z0iILgRUYB1pJTd7zEG9OFuy9D64BOQZGBGZhx4z7ICU4x975ueA0NkSJQYIxOV1vJu2g0MGRrvfXBFkSeEN5tm3QzGBWTsZrBNbxdVyRAipeP5EUecV9q4kCtZZDpRcjGakGZlrji6GHvjeyGt86vFbBiGcRhXs0k/dLfNQQlWV8VvtnvE0Fm/7w6jNc7Ysir/+T/71zfXt/Vs+fkX3ySCwXozusWiDDFmKkvJE4BW6ptv3jCV8VyVx0fffPtWXlwVeUZER/Oag9i2BighQNcObdvPJnVI6XBoLm93683GEb6+uN63/WE0Z/NKe644vl1v752dHE3qYRxACofBBeRchBiF4IJxABCC5SgBSGtVZur5af3RvcW2HxH5obcv1k2RibNaLws9+uh/ly1SJrj14F6vt++fL8+mD672zYPZ5A4415l6qMS6NTbQala/f764OXTni7odrOcwLfNmGBOhzuVRkc2LbDXRlOJEsVmhElHvonEhMma9741BwE1vjqaZsfG2G1ZlFmz45cX6//vlm70NwjutlSOKlIASE4ycJaVum+F6153Wesf4t5ebfFamxDnQt1eXnJ+8A94iZ5ASAJIzKDWLgThHBPCeUeLIk3d34aO72McdHI0pUIrIBcR4J/JnTADj5D3EgMiQc/AOkYM1EAMLgZgEApSSGNI4onE0GjAWnIMIvB8gRDQOCTACGwaIiXt/V1yCdiTjsB9SoNiNMI5gHfQjHg7ABPoAm52yDiOxmDAmSIkh6iLTeZ5CEIIvj+ar5ayuskJrqUTnfGOCCXTRjb31+9ENLiAD4EicSc4T0VGVT3IthUCGPqXBxc6G68MQADMlehdspFxJBlQWuXMOfJzVVWL0b//6Z03bqULfHpqrmxtn7aYZX7x8/fjxIyL+b//yp69fvjIuRILb29vPfvObR4/uX13eRoqAOFh/6AYfiStNKSpIhcoSxbEfh9FuDn2zb9abbTPa+WxKKQrOrXUAcH17G0OElBBovd4QsHtnx+fLibX2ar1JyB8/uheDV4ID0eCTFByBBOOMQSRyKXGETAklxaIuPry3/OjePKYgGKeEb3ZdY4Pk4sFiwjBdt8Oyzl1I28683bdfrg+v19t2MIzL/+bXX53VJWdwVGXHtQ6Jdr0bbHiwrGe5RMYLKQ6jK6RwkbbtkGKcl/nJpCgVLzMBCIjsrsEeYtz25u1mP4aw6cYY06xUR5Pith0ryV1in1/v//btzVU/ECVDMaZo+x4jgXV3PH49n5ZFwQC++/Ts5eX2szdv//DT7z6cF//03/3dP/nZVwJQMhHBjUllzJkUI3oLTOBdb06K2HdqeYIpmcMahSDnUCgmdLpbI40JIKCQ4D3esRJ392BvwfQoNRvHRMgiJUgYIwpNQtCu4VmOYwBn0p0tAwgjQ2cT2ARMoEQWwThiIXGGBOA9REKG4G0KBIh493dkPfMBIlIMOFpwkQFyqaRUXEiVacGF4nh8tJjOplWpBWMouI80jm4IQWWyH+2m7TkTCFCXmUkpuhAJpLS989fN8J2zea05RziMfjt6SmhDsuu2VlxJmWXi3XJiQ0iU5tN6GM320K8Wsw/ff/bn/+avcyl8dDebzXaz3zfDbrP/8z//d4zxfrN2rXz0/vvt7pC8v7q4+rqqiqp6+/YKyTMpgEtEFt1gYnJSEnd+7J1zHEhXkyEEhgxiePvmNROsLGs2QNfvEzCO/JvXb5+rh23XP5tM+qE7NJ1xZt/2H374vmSAgseUBqI6lzHGwJkLkQBDSoozrsREi8UkuzevVpXijAzh4FMz2oMN3egPg9s2nSd6fr54frxY+7F3vrOuMzYQXrXjv/jVV8anf/3Vmx88PH0wLYhSSKnOVZW782lRKJ4p5UPKtNvuu8vDAIhKcMmx0JwBCMZb51rjGGPNaFKIb24PBzMup5OmM2WuEFOMgUshpfz1zdVtPwqVCWFG7xOBGwxzKcaEjJG1lCgD7npTZyoRfPP28gfPHn7/nbP/2//7X/z16+vlvSPBylkad+Ateoc6B+TJ9qgEBH/XcaFEttnJolLlxPYdIAfvias7fhyAJW+Rc1AZhghckjPAJSMg58F7iIF5R4kYEYUIxrC8hBC5jRKEtw5iImRACSNACByIABgo5DzGCDFBFBAtg7tRQyBrMAJJAd6xFFlMxDgDJ2OUg+NcMMYgpeidlLKqqrzMH54sPn3n4cub3WBsa6MbXEoQGRbTunN+1/SS80SRMdYZywElZ5wxE3NPtLvpGhvPaj1VQghx2ZrGxkxKBuQj5AmlloIjRz4EsiHkeeadv7ndffDk6X/773/6X/2Tf7E6moQEQ7sXUhaFJkrHR4uXX32dRotffxP9uL26ni7m69t1PjuOXEpnU9diXrgYbdfLTGGWOd+g4BzIu8D6VggRErG7yk6Sjd93ByCErCi0zHxKV1e31Wz5+aurFxc3wx989/hkdXZ6NimzYB3nvPGx0JIB9SYRg7t3XkSQis+K7N6seLAoNAfBWIyw6dzbZhBArzdNOwREOPS9Z2w5r32MggNneBgcB8iE6FzofMqUXvfuomkX1ZN1OygGHCmT7GSSXx8GAPSRXm+a210/eP/++ez8qD5bVJKhD6Edwm5wnQvNYH/64o1kjHNe11oyiAA++bP5ZAiBY3q5318b87ZpvAneeeuiD9GEAEDgA0sJAMuiAI6RwbTM/v3Pv+xt/MF33n1zvf3rr15nWR6aUVC/xXySvCPbC0TIKgIibxhR6nZ8firL2vdNNL0qKlXNfX8gBPIWhaSYkHPUeRpHXkqQmiUiVSY7AHIkwBQT12Bs4ozFCMgxAXoPXEPTQ5UjAViLyICIEUMAiIEoofDAOERASCl6SAyiJxExegwOiFGmcBwYIE8xKY2Jkg8AKIWSQqIQk9lkMZsmhKooAHDb9FJIR661zoXgQ6hmk8bY7fbAkFFId052KSUjYEXGOWv7kTFUnF/susa6TPBSCeR8jMlEG0NclHnERK35ZUqTXD+Y5gDMh6i1rMrsn/yL/+7e6cn73/3Om5ffSsURBQBwwV/85su+7REo19J2zXa9mSxnznry5m4LDXmZhEjeg49AFIyPwTLGWWQpkRQSU+qbTijpQwCGSMA4hhSKemJGY10osvzQtAcLf/KHPwQlfSRj0nfeP00xSM46EzKtOFI/2gTsLpyDjEWi1SR/tCgLjonixcEeV7mJ9Gbfv9l3guimGbvBZUoUWb4fhxjDvh9Lne0Gb4nyTK4A7X6gRCyBYLCqsjtllOY8BDfLVSbYzvjOeGvCb9/ejp09XuQn0zzEiCkZ57eDIYJdbzobv77c3O57Lti80s+raYzEkv/ew3uTXGzXA0Px21379tDsjLUmNG17p7UNXS9jhBiBUGudV4VgQkn5Ztt+8/baBZ8r/d/85c88ikyI0LRcH93DagaJkGKyo8hy5DJ5Q8gweCEVL6YUAjCMfSeKnMk8WQOcgx2BcUjEuQLGaeyQcy4UcElMoBtJcNS5UHkcWxTq7qJMyBiBKGt0HpGhsclbjMRjZMg5AKZIzjEheV6mEJO1LHogZM5CTOAD+gCUkACd44CYCCMJAu4cZ1IKURblbD6bzWeZlOkuVY7MhuQo9aPbHtqxHxJiZNh3xvT2btc8hMiliC4kgsQwRHIhJII7+ikidj46ABdTTEAAo/eJoU1pP1rjUuej4nheZ7VmiKkutHPDL37+m7Pj5b/7t3+Z3NgNw26zBhSsmE/nk+TMZr3WebE8Ol7Opt//9ANGISbY7w/GGkSmqilqxTiXQhABQ1R5BQyFEAhIMRZ1RZR4VgTg0drovfMh+ghAUimeFx7h9z96+OT86M3t4Uff/06VSbw75QuWCeZi6kyIkX4X8UJc1NnTo6pUXAs0PvUhRcLX2673oRmd9ckHGkNMMRWZkJL93tOzoypbd+aq6SIQEEoOzgfrY5ZJovCDx2enVRYT+ZD21k+LrBT4Vy8u/+UvX3zx7fV60wRIx/Ppo6MaKUjOe+M74zobehdf3e7ebA6RkhL8nbP589Pluh2eni1//PzBfjCNj59vDi+3Oxfithv2h3a727CUhqaxbQ/WgQ1SqmBN8A4Q6jJLqNb7/U9+8LEb3Z//7S+GFKXg/vKaq/sfq6JkughmJBTgDeMCuUpmAKni0ANFNVsxpQDIH7aMcyaLZEfgHGMEoeBOPyAV9S0g8smCASTGwfQpRlkvKHpwlnEJPjCGTOW6qBBRJUIu09AjwB3Dj3e9gBgRAHVJIWJw4B0jwBgwRYyJEbDgGSIR8pSQS0yERCwG5BIYZmU5XywQwd4dbYl8IuB835tmGM0w+hgYlz4mO7q7jecY72gn9M4BQ2DMp8QZ5wiEiZDFRFxKZMyGmABDSoxx46JN5CMFAgTcG9e7oAWfZiKkcHpyMp2V613zzeur67dv6tOT//1/+V+sFic//+JrQeHJ02cPHz589/mT85OZ9+PP/ubnv/7y4vHje/vtthsdRJ98oBCQC5mXSmshNQOqqsqMxjuLnDNEZ0I5nXEurfWQ5eQ9ApWzeQgpcZEL/OGnH/3y5duHT5784Scf9n0PiEpJhhhiMiERgOCoJZecTSv9ZFUJjndM4lVnW+OvD+N6sJCIMWxG62KstR6M4wKnhS4lf7Sc/+23b2xKADhYlyvJGB9dKLXKtHh+unw8zW9760KyEXrnKab/389ffPnmtmk6REQmHizrD+8vC6WtD70LPqWbw7Dtx2awh35Ezs9mxZ9+/BQh5Vp+9+HJYRh/+mb3m6v9b273v73dbUe72223NxvXjcG48XCA0fHRYUqZUABQlNViMXv+9JFS8pN3H+/33b/4i5/WdVWVhd0fEhEv3v8xJRJFIXSRCJIzkJyoZuQcpgBC4DjGsUGh+GQJyGnsUSmmMwiRZdndXhze5emkRmuAkpjM76hoZkcUSizP0n7DhAQu0Vqe5YwxVRbgYzGpIcTkHANgyJhQv6uUeM+FlDJPzlLweKeUjAEZB++Rc+Y9MA7+7tDPEQAjMc6FVIzzxWJJRJEgpJRiLIrc2tAMxo42hXCX4E4+phATUUoAMSGy4D3ExDhHYBQSMqREyHgCSgkQIQKGCIFSSHeEN0nGBUcBwBFDwtal3RieLIovv70mYIvFdLFaffbVmxdffDl58PCPf/zJVLHBmHeePzN9f3Px5md/87Of/vzrr75+bXz0kU6O59bZ9b5TnCdrOIKzwTQHM/a274Pzw9CH4JALoVQMMUGs5nOpc5CCEoIdCNFHAmCBoJ7Mdq0bWP6//Z/+w8uLy9m0RKDehdHHmEgwFIxJwTlns1Ldm2YZxzEkjnjTjd/uhoMJISZAIMAQwmawzWi14LmWnfXTQo/B7bveAp3MJgnAh6ilVJIbF4RksyJHio7g717fupAU4kXb//bbm7/84mUmBRIgYp6pDx+eHE/zbdtLxiiRi2nwcdsN1nkElmnxJx8/q5XwwVd59vL28NvL7W+vNl9f3r7a7GxIozU3ry/9MEKC5Dw1PR8NOM8YjylyzpVUs9mE5dn5crLdHX7z7YXU/P7ZaRrG9dXN2DYiq6d2GMhHlReiqAfE0Nwm04v5yu/XTDBCgd6Emzf6QV4+eGe4eEXDQdQzlpfJjskMTGUpeIZAMZLOwYypb1S1hBgDJL+74gzl/Xfj+q3QmpCBc1AJMI4Y54TL+4+2b17ZcYyJMp0xzpwx5D2akU9mWhzZmyvyBjONTN2hWUiEnGMMFCMEz7L//jaCyAC9scPYL5dHTdMSQXDe2LuC/e86NoIxxsD5mGIE5JRCipExRjHc/eidGbmQwTEQDBBF5KDRhmSi5cgERwYoGNOMBR8YcdQMCDji3UsyMPzn/+Hnf/L73zvji6qaTqZzlk+X89m3ry9C2776+tU/+6//WdccElcCWV0Up6sZV/LVi9chpMV0Ai8vQWtkHBhKoT1FkuJO0ogMkwvJusj6hJxxvr26VFmZzRZCyt6NxBBiIKG4UoPxX1/s/9f/yU9qyf4f/+1f/S/+hz8plfKRElFKxPBujgNKsmWpJMfB08GEa2sOg00EnfExxTrTo3MMeaH1fvC988fTMiG6RJXODp6ioFxL45xWPNOiBNlb17t0/2jinP2XX14gY7ej0wC/ebPe7puQEosJARlQVehM8Yt9512QDH2kdrSHzsSERZFrGT58tJrkctON1rmvXt68PRhr3GXXr5tm3fZ7Y2LwafRgAyK6YQDvknOUiCvNGct1Foztnf29R/ei6Q/GceT3zk/eXNxuL2/8OEKMQmeZKsp+s0vO6+WE8UejysB2yBnOV2HokMcICQjt9RtelPro3N6m0O7FdAlCq0pB9IEIYgQuERJxkYyh3GWzo7GTkQBu34J3cnWOwWI5SSkWk0rqQnKOSHlRPvrwI4ru/Hj6wdMH/+GnX/72xbcxBNe1cb0WiyO1WIXdmgElIRgCSAV2YIgpQUIO3qNGhhxDAAGJkmBqt9nPl0dFVXZdHxiLiZiUzEdA9AliIkx3qjPAFIWUzlrinnORYog+cGQJggeAyCERapWkNsbftfqIMwACIRCpUIIjIf0uTzzJ+fNV2Rj/937vu1eHw/XuMHgkzt776Pm43v5f/+//n2a/q5VGllenc6EAukNd1cvV4vLbCwBqD81qtURAACTBQwgiz5nMgBF5dwcliExj9MFFzDPMSsrKzrnm29daC6Vz0Bk5G43RddXuD59+/N4n7z3AEI1X691Yn2UCkXNuUyQiwVAglJoT0XpI28EikYvEOUdKvYuaM5+i0nLdGM0Zcj4MBgDOZ9VhHBQDpQQhFYLdElWlnmWaszT4PDTDaa1ebHyfIJMYYvz85vDm6tYNRkhtvIOYdJblmiOky02XKZlJ0QxjTIkhVEpUmV5N89Uk3zZ9a/2L68Or9c7EtOvs529eZ1LstvvGGAzxzgJt+5aCv1thZlIBIAeoJ/Xo7B98/6MJxL96deFcqibV9mZrmo6CtX2bF6VQZV1Mqrys+l0DIFRRIj+37Z78KLkUWRVNywgDkxTD8M1v8kcfFGcP3foy9D2rKiFlcp4zSd4CMpIimoGCD90eZ8tsMvVSgNJp7GF7JadLVlY8pqKaHZ2f5FpOqqLOs/vHk3fO5z98evLXX7z5uy/e5lpTUcYQkrWhafOjYy+kW19xAJGXQuWmYdEMTEpBRMaC86yq76BNksSlHEd3c71+550nUvD9vok+lLkmxTmTA1HwkWdcS2Wt985KpaTSKUYmZAIE50VRphQpxEDEuUghQkoheME5IEsxEFJiHAUHAALmEi21rJR4MM/nmUTCTx4+AIRmGD/79vrZh+/88m9/dn11/Qd/7wfe2e998Pwv/+rXu8129fi87ftnD0/Gzf7m8vrRO4+KSYVcSKWIMSZFZDylyKUggEgAMd4l35hQvFIsK0EosK0qZ3J+7A43YRwFMp5XQL3vBj2tufWvXtz+4vDV8rRmDADxjnPmDIlASj7RvM74VecaE7ajLwUbXDQuDT4ozgkRgZVCXaVBIpcM25icC2fzPJdaYJKYci04ioB8pvlEs0merVs3LyQRmRBLJTnHth8HYykRIA8pphQFY5CSQnh1tRZSEuDofKml4EwJnogmZUYp7drB+vT1+nCx626b8bbr9mYcnN3ebsMw0jhEQEYxxQTWgvcUPCbiMkMCVRTGx/v3Tj+4f/JP/+JvxkBSSgW4HW2m1e3NlcrLajLj00//FBnOF9Pp0byoy6IoYoK7dwZkLJ/OuCoIOGMMsxJG44cGIPGsRp1jiinFSCmfLfPZcYoJBUchEQASUUqccykVz3IsSgLuzSgQ89lC5cVytXj/nfvff372B++df+/h0fvHM8nw87e7Q9sLzoqqAi6rqj47O5ZS5mWNSnEuTu+d/cH3P8rKYrGaf/j00e22xSxHIZjUIi/JWkgktNZFOfZjlun7ZydCcB+jljLPNBdCZTqEKJRYzmogcCEyRJ1nyXohhFAy+qAEQy7uKld3eLAQXHAWYxKMcwaUSHCuuGCCc8aV4IsyK5RAYBHYGNH65H2syiJ69+tf/5aY+OEPPvnud57d7gYXw3e+9y4JbRNysk9Xy1/+8jebfT8/Wmy2+/l8cnW9oRABCLmgGBlDSsCVZlwSEBMSkBHXIDQTgoZOKCkXJyym+viUUDAUTAhRFIhsu9mVs8l8Ofv0g0ePjucuRI6/22+rtahznkvBkH2769e9D4SMoQ1kUwoAWnEAqDPOGTbOC6DOxcH4WaXvL4tciEBJcrYoM8ZESGlVaMURia0Hd1LnPqbb1ljnU6LBh31vTWeTj4yAgCgliVQWeTMaKVhdZFrwWZ0zhEQwr3PNeTO4bWvf7rq3m8PNvtu0/bZrD6YbrUcAZJisZc6Bc4lhMhZCYM4xIiEVpqiyXGr1pz/+7q8+/+pm3z+8dx6tAwLTDabvhsFU9TSMXjx6em8cLQPURYaUFGfTSbU/TA6bsr29YUJNJtMxL0zXhOiDLv3myh12Qo+8nMqsTDHasXfbNazO6nuPfNt403kmMSVKkTGZz5Y++lxnq6PFclK9+PKVrif3H917fH/1wydnD5dZsIZScpEopodHU/3x8/adhy7GV+vm/mr+e+/d/5c//fqvPv92dbzYrDfzo8k//vGHp9MfSC2j8f+XafnVy8tdO/b7VlSZPDpxu623XmdJFvnri+vptD47Wck82+8bzriWOJ3W43za9INgbHW0AMa7tqcUy8nEjGNdl0oI732mRYoYY4zWKplHa8q6HnyMzhZVEQG9CyLTjEgzzpC5lExIxo82QZGpAKSQahPKyezHv/fpvfunXTMcrWaX651Lk3/87uP20FWHvrm1vfO/+dVn95894YiSMyBQSo93H7YUgbEYPXINBEwIkIIDIfBABGRTJD4/4XmVZcqXNcty5tjy4dnhzUvTtrKqANjR6ekP3312Mq9a55wnBBJIhWJVLjobDiYaF1uXLKELUUuZ3SVoAUqJzeCWVb43blkpawMcAiCUmVoW+W40OdOcwawqe+MmUiQCJeTt4COQcXE3mm60kShG4sBZSBwIOANKKcRCyUJrBKq0lAxrLRdVNi2yQ2eEBOdC42Jj3HUzbLqxG11vzDCOxrmx6YNzmBCcTSlRiilBGkdMnoJPKUqhFGfAhHPhx+89yrXa7HrT9U3budHd3G6a7XYymRbVzBtfLef80R//z4pMzeoKOMszVWRSKik4ZyrXZY1AQoi8LLnSwTqGKOoZckk+JjsyzuVkoWdLIvLNQRalns6zqq7mS1CZLMuje/c++eS7z9979tF7T/6zv//9H330bJAF12JWZveOpoKlWS4Poz/0vhttY9y6GadV/vBkfrqcni4my7qIPuaZ7qxXUi6qfDktTxb1R/eW96dlmcuPnz98eP/07W2770YOUMwWKSREZEoKxpDzpuurqlxO67LIkEOudT0pZ1VxerR8cLLwIUiduxBjjEVZ6ixjiFWumeAhxTLPAcjHiICMSwZUZdo7LwWvCx1dUIKXmdRSFEpBSowxJcToAkTSUnDGfUyqyD//+uLnv/j183fP3zmdvfPgxFm/b8fb62vb7z3Bv/k3f7nftzakzsbm0AgpXEjDOEKKQOkOQ8MUATAGzwCCs4Qs+QDRkfcAjHFJ0bM8yydTrjJd5NFGPw7kHUP25evbf/STH+S57kZ/Z7RNAIDYmNi4uO7dEAk4CwBEONGs1ByQFoUWgFqwkzobfMyVvDoMh2GQkn9wNr+/qN7uDplgk1wf1RUhREIfg2L4i4vdxaFvjQfkB+szJfvRskjtrgMixpBSzKQ4mU0zLapMnszraZkf1+XZolaMhZQYog/UO3/bmWa026bbt13X9qOzph8HM0QfYLTJGIyJnCfvMCUwIwJgIlHkBEhS/+jTj959du96vXv1+qquqiLPLm5uonFlWe9vr5Ozk5Nj5Iyf/uH/wPvAAIs8r4o8pjTY4H1CxKIsdJZzhkKqajaRWelc4ErVq1PUOQGjGAmSLIri+FRIFUaj6+mj58+++533eZbl9eTeg3tPHhw/PV/My8xbh4wAqC7zuswkZ4Izn2jT+YON686+3va7zvmYUqLeOimlsWHXjkqwaZW7QMtp+fz+6u+9f39VZy5EjiyX3CfYu7gbkg8klMzKiTdeF5oJwYgI2aFpsyKflOXRbKK0utocXt9sgcgYM9oYYqqKoh+d8b4qCs4Qgc5PlkVRGOvqMuecW+M450qJqsjKshiNU5zXVR5iqvKsylWhhUBIlABRSRlSDJEEZ1rwTPB90z4+X/3o3fO3l5u/+dkXv/wPP2s2t6++/OrzX3+97/3LF2/y5cngYmDMEUMphS6MSZQipQCMIxOU4u+uKDEQJXKG6RxVzopJNjsGXXCuEJnpOlVkWV0prWYnZ5Hrx+/c/z/8l//zk+P56BIRuBgDoUvQmNiHJBmzBJkUiqME5AwfzfNK81KymAAZO5vnWxsY4FVjLjatYnhc5x/dXxBASFRm2fl8CkAJ6MWuXdX5xWH8+cW26e1RWWwbA5QEARBZ4ze7DhJxIsnY6XI2LzMlxdG0ur+YzMr8eFrOMuVDDJGsC1zw3vptZzpjd12/3R/apnWjcd75tiPnwRrmHLmAwZOzDAi9B0IppcoLWZT/8O//+ORoumm6GEBmWVFVr99cxpg4smG7ZVpXs1kCzCcTPvvhP4zWH3aHZhy6bjAuHJrBjMb7CIBS8qKsiqKoylxrDVozFAxAFjmoTOicc8k5J+tQyvnZ+Xy1PDtZSg5Znh2tllWRhRCG0e27MREgYD86hlgooaToRr/r7GFwu86+uTlcHzprfGdDa7yLsO/G/eCMT+1oGdLpshYID08m753OGFA7usH5th/voPVtbyxwYJwxrrMsWqdznRV58iEa2/c914oznmf6bDmb1dWszPNM79rBxFTlejYtI6GxXnImtKqK4mRWcs4j0aQuijz3ziEDqVQuhZYiAeVKFrlOQIWShWZVpopcIQIhMYacsUTgUoopna9qt73+/MVFXRU/+v57X7y+/uvPL287h0KZvqFyOpgxckZZVpXZvfNzNVmMAVIMd2khQEDGCRFSRM6BALhALiH+TukHmRbzmZgteTnlUo3DwJVSArP58sGHH/yDP/xk3w0+EWMgGErERBABCsUjASDmAueZZIhPl0Wt2ehS55MSOM34dkyDNd/uh9ebBgAqLd87m50va4aICSZFroRgiK+2B4boffqbV7ebdni2nFOEzWAWeQ4Emos3t7uUUgphWuiHx0stRJXreZmdL2azMqu0KLUCBP+7Gk8CgP1gm8EM1m4OzTCO1ozjMHprvPdkLVlHMYAPQAm8p5QQiHOR1ZN8Ov2jP/7xJM9+/fXrPM9W0yky8ebypigKAbzZbvOiyKcT79x8ufjTv/cD0WzWIRAMw9jtVJ5n9ZwrHX0QyHRZ5pOaGT+fT+u61EWROO+kSgDBGMFE8JqIUEjGmGB4cnqSlbmx3ruASCqS1BxQHAabSTHa0I9NN5rRxSpXKYS3611dVSHGi6ubvm3Kujo9Oc6M2xk9MUECmRAk4wAkJZ8U8TsPFu+dTK2zA+G+t4fROReu9u3mMEgpIQYO3A1DVhTFycrbAREenK9utm039K9fX1obZ6OtKn12NCMCJeSnVfX11cY6q5A9Pl/1gzHG6EwTwujcalYVRoUYF1U+q7PNoR1Gm3G2mFWIHIFyJaTgPoXeIQDLEQoppGAEyBAFQ8lRS4beblvz+997P6V4s2/+0X/6x9dBfPP5l/vbdfDs2UfvjLv9MNrVycn986Orq/WYmMoypwpEjMGnlCh6jokQARAVR64AeYyBvIthh86GflB5lS1WMKlVXibO27EryL55fXl5s3lyVMeUFGc+QowUKFWCIWKidFLIWjOOcFSrRPS2MZTSJJMM2WVr9t34dtf3Piopsoy/syofH1XDaIG4lLLSSkqx623wcNvZw2Aw0JPZtOTs2327qkpOZHy82By63ijOUMlHZ0eccHA+12o1KeaF0oIryV0IITHJueBcEhwGa1wAgBQSxMQBGbDkIrnErI8+YkoUIgHdERFcSESt82JytPzg4/dtP3x+ubbWlYUSSrz47KvJdOIGG0M8uvcgekcxnt+7/3ufvE/ARfvqS310FoNLwzDs1m6y58U0y/IAeLi9mJ7cE1XpKY3WzKZ1keWQMAGp6SRR6vsOEsksy5RQWiEAZ8gRBUfBRaI0WN/vO0TQQjQdjtYe2j7ElGdq6Ife2pevX4eQ3NCRZJ5j3vZQ5jdNV2TZoqqGYSDEKs+kj3dVNsE5Q9h0xicKkbaD2/emtb7vjVQiRlBaxxgVz548ffCTD++/u5r89OWtDc4O/t9/cXFoG6nkxeXGxECcPVwdLaYTxqphGN7e7vI8z6scE1lj2sZNyryuyqrIBIOy0ItJ2Q7GeU+RlGaCMyG4VoIzJgQTnFFKRBAiIUPFUTKsFD8pxTjYD58/YUz81VdX+3Yw3j59fO/pyfL29jYBaJl9+o/+aL07XKxbFBya4d50st60pjdR8DT2PMZEBOQJEBgDJEqOqxw4Z4wxrpgUCJGiC93BNHtd6MnqhKuMFXnbjutd98OHR9fNsHeRCIgoVzwTTHNWaCYYGJ9sSK3xNgJDZgm/uB7WvemNcSHOczXPVWLs/iRblKo3EYlKzapSE+FNM3x+s//Ft+sQwtPVbJZlmnPO2JOjmfXp+tBc77umHRigD3Fa5pXWkNK8KialLqTgjHGGgnEfE6QUItkQR+t741KKKcYQw92GIueCM8YAyFoWIyVCZCgwefCMc13kRT5fre7fO5lq/eVX36hyujo6yrn+2S+/qstKS7lzzfn5CQGm4Kd18e7j+4ML66YVYTT+2y+zxYmeL4a1M5sbHdLovcwLpbLmzSvKVFXP7GJ56Hp0RgoFUiQtpVBlXVOIQknOWYwpxHA3Xgkx3pnVGCXBaRjsrXE+BJ3pGMg6u29aa+1w2I2HDUqJMYDW1vi+H+q8cMFnednUMy6ES2EakhJsCPFX394Gb4/r4uVuAMDdvt+PttKyyvR0UnIhBhuwQM5ZpsU/+uTpTz66l0L88Om9kNK66d95eu+vP3/9xaury67nglsbttvu5GhxcjQ7n9fOhYtt07mQMdCSp0i7Q98Zl0mxmFRKyRj9yaKWnCnOxpCsTyxRIhCIlACBCi05Q8YYAQiGdSYeTTWQV3XW9uPPvr5OxBZVjqhPq/xq03783qOHZ6t/8zefPTxbthGPZDEM5vmzx+89On/19mA9S8nZcQjO+qEDO3BIMQZIEVKkoSEi0gUoRjRyDQwkkhWMCwC735ezBRFwmX170+yNjwSZRMVQciYZSs4SkXGpcyGmFBKNPtiQNr1dt2500Xn3aJk/WS5yzgvFQqRMc+fCVEvGGePi5WbYj/bF1fZm35VFfryYKs7qTJVKEtHNoXu7bXbdYH2gRJLLRZWfLid1LgUiAHBELhgB3Hn4fIw2xJQwhNhYZ6yzLgIAMqaEYGUxjmNWZM4aShEIuFQMgTHsfbc8Xj16/LisyuPVPM/U55999fjdZ5ku9tvDej8ILmaTyob4ve98OM3EYlo2g53VRTcaM5qcc8HraWz248W3crlS86PAROyb5CxjoCZzplU0fXP5uj+s5+cPdJ5tbq9c3yMDXVRZWQktpZAhpTtvjDGWIXEhcoVaMEFJSVQpbg+N86FHxrR21llrgWFwhlKExJN3yY0ktfMmuDGG0Pb9ttmXWSFV3vXjpMzXfU8sZZL7iJ/ftiakbduHGB9UheRsMc0zxQHQ+gCI//D7z//T7z3Z7tvtEP/u5a31/t3TxWldvPfwxAz2i9eX4zimRGj9lXXDYADw4Wp5tpxu2955t2v7qlRZppwPgfDt7aEqdV1k3idKVGaCCPrBhwSA6LwvM03IFAPkoBhMM5lreVarSpKPEjl/zVvGKYuh7carbVsWWZfY04dnzoZ3nz18dv/kYOKbdeNC+s6z0/tHs/NHjwbKiFK33wJDEGrcbsbdLY4NJp9SIO+AUgoJwKUQgvdorXBOqMxYo+upHRWQl0V9sRsaEziQDwk5dy64RImQUpKCRUrOx4MJm37sbeiNQ8BJlX345Oj9VXUYDCXKFR+c9wESsstmRMYv9v2h92UuZnlWC5mQI+OZYArR+XAYTDM66wJLaaLVLMvKTE1zoZVMMdlEjDMlOCUIQKMNA3kX0+hiTMnHtB+Msd54b0PwPiIySjHT+ai9kr1SGXHBGZq+zYry9Oyx5hpj0IIuLy7fbvZnZ2dPH9z/6tVlnutu3yzn06LMH8ym0zx/dDqb5/qmGUwIo49SRcm5QG/VfJHGIjQtS0lVlWeQ3Gh3t9GMqp7pqtJF6cy4ff2ymNZcZVmZUQjRDK0Z8G5Bl3GUXGklEFOMdmyLQs6X9bQskPPDoT2a5m3TNdbbZgShxttrrhUgkrUQYmKMrAGKwZvBjlxnceiAiz74rJoX9TIRGTe0XY+UWuteO+dSyjVf74fQwpnkwNi0ymdFNqn0pMrLQvzti8ttN960dt0OAeDFzeFgg+LyeFFv2/7ydpMopWCDs3tKL4IfjDk/nt5fTRdlNi2UUnww4WxROxv/+c9ffPb6ZtMMk0LlWnU2B4CMCy0YZ6g5KyWelfL58XRwngDrTMxzWSkeUyok70LQCr13r24PSsij1ewnHz3tI6xKFRNNisyHMC2ybhIj4r3VrNBqNq/nY0SGqixjStPVcjD29vXr3cuvUrNGxokp8A6lpBhRKrzbWUMWUmKJuDWubZJTifDqdvfL19vzeRliSBFSAhsiY3fJcuIMK81PS3leSYAkuOSCzwqpEL+93e9Gczyr+yHtB4tAUjLJoLcWkD9Y5j7F3sfB2bYfETCVejWZhhBDom03EOKkqgVLnPNc8juntGSMcXbnChmsu6sIR6KUKKS7849rjeuM8z6O9m6MkDgyJVUKkTNezxdcqsPtzdHxcam0s3b5+Mi13devrgafHj9+9MkHTz//4qtmCJrzLNPTSbWc1feOFyez6nxWGBfqQocuFUpJIUoluVg9iWZELmRVYwronSgqYEJIhYli9AjIGWRlocrSD723Vgie5VlV5UpJJZmWAqPnDMl5b4ZKwIOT+ZPTox98550Hx7Oz+URqkUkmOSYAH6P3HhFNs8cUOYM0dDwrMKbkRgqBUmRSxbGj4JJ3YeyAS6YyJZQbbeQYOH4ztl2K1rlaqMY4G4kxdjDGECiVfXO7+cvXt5/d7F7umi6lg7UuUkq4Gcb9YBXjZa5jiCHGlFIKsSpLmYn9rjl04260JiSGoBjbHNpfv7r87cXN2ax+crLIBIsh1JrPMlZp/uH57HuPjwSkd1aTd0/qs0meKX5XhJjlapFnePeGD9R72xl/ue2UEg9Xi+88vXc6LTTHEAJnjCFjyJTkUsoy1yeTYrD+txcHE1KWK51nTKtcq6PVgmcFiQxAACGXCoAA7uTMHAXnQiDnDJALDoIj48glQ864cMhMoMHRYXDr1hiXbIjGxd6GBEBEkdJE8/vzslAcUtr35mbfMgYns9qHZFwqtRQMXaSDibfN6CNdHMavrnYX68PgfAhpmqsnq8nj1dQ6P7pECJQwV0JybqxnjNWFVpwBIkfk/I4OJB9TiDQ470NyIfbGGRfa3lgXun6wPoSYEHBaVW03pBSLopgvl5nWR6uFzvLrq9t3P/rIDu7tm6vpYvHRB+/WSnzx268H47JcSSVOV8un906+8+RsWaonJzPBcNMOLiSt5KLQ0yJfVAKL7/0nxAQNDWa5nh5xFEwILngwRuYZAMYQdFVzwer5VCsVrI0xcoY6U5wzzhgApRgSirHrgdGD0+WPv/P8bDl9595SCbY9dF+9vZVavnh7+/mLN91gL9eHdnTD4eDbffKWFZWsj0K3d8MBGUZERCTBKXriDFMCkU8Wp/XimCk1nRXForjhsTem4lonmKk8hrioS+vdbdNJFErykfykqvpxkJLXWgefdIJcyE3bT7JsVeVasEPbHZohxSSV5IIPgzUR5/OacawKXTA4nhbI2UXT3ezHk6p8draYlnoxyRRnWrJVXfYuvNm0kfOSs0BRMDYv5OPlZJpJxRlRcjGmlLa97YzfdEYJfjwtC8U50mCTj6nOZIq0bo0LgTHmYiKit9vuzz+7uty2gBhiGEfXNR0ACKX7puFFdVjfjlcXtm9835AzwBgRCSlAapnXQghEls9XyIXO8mo+K+uqrouj5UQIHmIqtRKcpUSSc6VYAsg4Lgt+MssFpkIIJXiVK0p4ue+GQJ0JN4f+etdvmo5pBUTOWgJgABSpKPTDk/kn94++8/AoBf/tbrzY9ofR+pQmWhnr9jbkmh2X+d1aBwIhgEsUYzLOE9FoPWcYEnWjRWTtMCaCbhikEJlWWsjRhtE6BOCCU4qAdH29fvHi1QfvP2/2zcXF1cMHZ9baq4trYPzsbHV0NKunk7Pl7LuPz06mhZasLLR3cdcbH+PowqTQpZYhUS6ZiGMr6hlUU+o7u74SRSXyQoqqnE4QGWMsppRSRBTemFyKk9VUCC7v+vac3cknkJJSuut7pPQff++D3//gSZVxxcBYj8jmk0oKPF9M+m55cb3uMjXakOVFHIfgHDR7JzNGiQsRzIBKgXcMixQTeU8piYwN28voTLZYgWLlpBCjt00TgFFMQ15xxtdtv5pOKpXd7NtcC6GF6R0yfrk5bAE5MAZYayWQr7tBCHE6LT56cv67n9dolWBVniUuZrm+bcebfds67ygVUpxU+ftnRzYExEiQnA/ep20Hf/tyPTg/vXNG5GpZqnvTclXlkdJgXM/S6Pwk0yGlu/jk6byal5oTRSIgZAiLQiPCGJOnFIm0EEDx2113teuNd4yzBGhtMsH7GO+krDH4YbeZHJ/Wk6PNxWvbHVx3SADoTYoeZCVmxzrTEGmyOo7BA/I7E0wg2h764H2mM6NDopQicYbIUAiORJeab3p3XOtZjm3f7gbztjPLIts3/a++vXIJNFcMiPeDDcE6nwlRZepkXn7y7F6u9ek0lwxGQh9iJJpXWS65MV6illKczErvQl4o50KZqXa0GnFw3oYwDM7H5AMkSndxaABkSEWWHU2rD5/cv913V7t2icx773ywLrT9wIT69NOPt5vdzeawWM73ndncrqWQy9PVg3urH3349Mn50XJSWOMIWVUoyfCqHQNQqdWyrmKMisG66f/iYiuAkLqG1QtWTpIz6ExiOEaPOC9mc87uJpwpy3RWFJwzwfhiUlWZzJTMMs0QkKESXEsuEE4W1fffeTjJpPM+puQjRaIi0wCUAKoiL4pciC4XPAlWLY96ofzQ8hRZXruuIWSYCFVO3gMlFiMxCHZkIQzO+xCIYlvVJ1XV+0PTdVKwXW+KauKN3a83R5NJcmE3phhCptTqaHFUVvttGyByLhpvMsaQsavNLobABD48mudSPTk7mhWyzFRr/LYZj0pFIessAkPByDk3jPxoUkEiCrRrTeddH0Ehrqb52bS8P6+Oaz1RIqbUO3cwZuus9+7RdHLXHFAM8lzmSgBiiqSRW+9nueKIgwsR6GRaXez628Z0zv/man+z7zvrI4Lz3njX7HZaaSAeITGtx5vr5u3ro8fPVs/eiWYc2pYr2dzcxNFGJkQ+4ZkUSttIZVULIaUUXEohpVKCc+FD9IOhmEwIdyiTEjJRQkpNM3ybCwFknE8xlJl63Qw3u2auJJMCkA3GDoPLtbx/70hLQT792adPPzg/amyYZPLQG3FX4+VstKE3IVEqpJxnSnFW1VkupfM+xFSXZYhxP9oYEkMmBXfOccZWs0nXj1qIOxP9+4/OJec+Js75MNrRuJQSEQiplM5u1nvvw/Jk1fX92HWL1bKeTE7m9X/06fNPnpxLjsCYQxYJCqUGY7USJ2UuOG5aMxrvvft3X7z85vYgmM7BG3KGSSWyHCAhAkeA6MbDvpxOpRR5lp8ez6RSjLNpmZeZqku9qKsyE7mWnPNMcK1VpfmDo2kuhXGWM+4TJCIlhA2JAauL4qDHItOLSQUh+eBcDHmZiTzngpeLRXLWNDtKAUOkGIALxmVyBiSj4JlkZPv9N19IqRfvffD4+N7rdHFoG0reKwkJyNgDdowLbzyHODp3FdN0OinzPIZojGOSWWsznQnGNk3nvCPCD+8t3zmZt8Z0o+2NR8EVqVmVppMi15JB0pLlQtS50lIACp+o1HxasCrXgjFKbGfsTTu88qYSIjJ2OxqG6aQonY+WIQNUnE8LnQhcjJng1+2wKHLJWYikBEdGrYn70b3e9vve7Ae3HX3Tj965fdP60Y77LZVlVi85w8YZJZUdu8vf/Gxy/9n89N7q0eOiKvrze370Waadtc16Y/tO5YUNKSQvtALkIaQxupiIMcEQmn60wxhiAgDgqDhngt1um5zz41X9+HQxK/V+f0hET99/jIzv296EJDlwjsg4Y2zXtijZ/aPZUZ1L4TatCSkixot9b0IKMW1bk0l1aPuY0rTUj46nu67TQgJCCA4Aciko0fE0awbDqnxS5r1xkrFJkceUcq0nRX61aY1Lw+h2h15nmjHsjBvH0Yy2LPJEWd+286o8W84Z54loOq3b3n5zs71/NEfyuZYuRoagpTiqxSRXm3a8accXb9ebttOCP1nOhBAcszklZIwJJYAxqTVjTEoldaaU0JnOtBKcna1mEFNdZkfzWks+r4pJoQstlFSF4pniZaYVAx+CiySBQvpdJZAhpJS0EAxwPqkFFyFGG8PeuUiUcUaIdn+Ynp2h4K47RG8BBQMGmJBzJAZSAWIaB8ZVc/HmanYkJT+ezBXBzc0NMVtUpQULzqlKAwvkSRalFnJ7s63K6t7pchjG6EJVVGWRlZnkjM7n5bvni4+fnh7n6ldv7Oms3vfj6FNUKaQYEvXWCcYARYpx9CPnGHyMiCpX+iBiPOyHbjrJmcDrQzvL5MlycjuOE5VNuHAxTJR0MYUQHsymJkQb0jxXL7ZNAuh8bJyfae1i+nbbvj2Yb2/b17uu6U3Tm92+7Yeh79ph39xBasvF3AHb39xCoqLM6d4j2x4OL7/q1+tqdTI9PtFZwTlHxNlyMZlNLl9+OxwaLvj0+AgZ64ZRCEExWmOzXCMixeisjzFZMwbvAFAqIbOs92G9319eb+d1drKaKIafvb5uBxcpVXle6Nz5QQhGjBln3z09OplWg3WdcQfjKKXt4D5/u15Na6L07e1eMul8cDFOymzTOR+SkuyozDkjJXmt5GReZIIrIaQQVa4UH09mEyXZvrOM80PvDoPtepMIy7LgiO1oKKblbOZyG4JPlCZlHoIfrYsxHS2mZaZWi3pa5vtheH6yyKT0McaUGOfDOALQbdt/fXn71dU2k+LtTfuLz38rEAQDZEXBMAkugLG8KOaLiVIqL4tJWQjJnE+PzperaS05F5LlWta5KrWYlpkSbJKrMlMMgCPElO4iUIMNrbXOpzv6LiEQ4tFydkTYjmYMiXOeKdGPLgUbEvQmRGen5w+6dWabXXQjxQAxIHDkAqWKlGKKnHEfws2bV8V0ZrQ6WZ0ezxeHZo/I0kz6GHOtZJlbF+pp/eh4th/tm+u9t/7pyTJSzKWsMjWrso8eHH38+FgidqN5tWl2o321aY8rPcn1UZUVmn/2+vaqHfaD85Sij9a6SKAkA0hKCkIkSg8XVaFZ07o8E1mWbUc3YzJLMM3l/bpkAI31tc731jfWaCG/Wu8zKQcfv94eVmXeW+8B3jbDZ5f7q/24abtxNENndpuNjzFZr4RwjP3H33/v2fm9f/2rr/m87myI3nNMDKiczxOT7asvx80141pVVSRiQs1OVovTk2o2D94555WSLsREoKTgXHZd78YBkQmpiEECSj744PrGCYYohFBqY8am0Rc3W5UJpUShc8H5rhva3gBFhvTOvcU7zx4/XM0lo7e7vrdh19tmsNeHcW3s6FP08XJzsKMDAqWzbTPc7odZXQrEfvCl5vM6Q8CQQtToAgRKNow2pM56GxxDlmtmfURAZExwqDI9Wltl2YA4mxR9jyGIRMlYa70XQjw4WZzN6+Uke362jJA44tGkSCntOj84P/h4tT0Aw30zpORN8Num+/qrb8a2F0ePnx12W8GF1JIzJIS8LOqqnM+qk6Ppoq5CSlrxx2erIs+984JzZFDlWVXoQstMiUxxyVgiCokikfO/2+lznnrrkQiRMQQC5Ixvm2Hd9Fzp+WzGhay9s8buDwdCsW8Ha9eT41NfTfrNtR+aFAUSIGc+0F2vimmFCP3bb8id9bocD82DZ4+fPXmSCz4a46JnDB+eHRVZxgUqjpLLN8dLFvw7J/NHJ/MYHAJWuVYCX1zceudHRxeH7mDiVTuwlO4dTeaaT3M5q3NCaHtzfegQeamUwoCMtC5YwiJLZ8vppMzeduMkk0e6ZBCnSismZrk6KnWgcBh9JmSI0Zj05e12Z8JJXcQIbw+HkOhbnU2UCABf37Tf3Ox2jUkxjM7FFMoyJ2K9GL2xf/jhw//j//JP182wnBeXm8Nf/PKbb99c+dEgABOCSwl1CSlCMHbTJkCW6cvN1a3KQDApuKrmiGzoepnnWkuts6wqxqZFiGPXE6WiLEErbw0PwY8tpeiEFEoX0wlkynfglG7YoZ5PCpUZ74AisfTB/aMfPj9XSm774bYdG+MPY7hohnU/tsZvzRB9OLSd6UyiJIQUTHa6P7TdpCxbLTPJOuO4kIWSuWAhEiLkWg7O+0gMQHCUwiAiEGZao3NKiyyTkJJLpbVOCp5SZISFVkWuV4vp0+P6qFSny7rQshns8awerOuNsyG92fdfvb2hEP/6xbcR2FQoTrTf7ilGxZh475MPRuea3Z58JEoxuNlscnI0PVnUp4tqWleHwUxK/fh04UMKmWQASgrGYF7oSkvGUQnOEFMEEwLSneaQIpBgqOWdhTgxBBtSM9gA6GMCwLKeMCGbrmWMuZBiZ6UK5ILZ7bLptFge+7y4m/z7vheUYnTUd5EQkGMM9vK1nq8apn5z2L9dLk5OT49X89VyMa90LjlRqlSWa4mA3zlboJTW2NfX25O6OJ7X1/vuxfUmk1IzHCO8uD18frVxIdiY8qvt+bwGRCbw45P5T949f7Vprpve+hRFjkBHdTHLtaeEDJHBaV3ESIagJKY5m5daIL8dbCR26Acfk0/ptrfrYXw0nWiAdYgvtm2wYTUtU1X95vK27WLTjhzIh7Cs8sXJ/HRSWOu70daF/l/9wx+B9003MoTLzf7m+sqNpigLgMI7F8ZB5zkKGb2PDgVDAiAIrrkNbsBEwFU2W3Jd++i7q1ZINT05LupJDD4xst1guo4JrsucFdoInkwHiLMqo9grIYQQ1g4+4W3bUvDFbJaVZVnnq2n96Gh+c2huO3PdjNftYDw1xm160/R2HEckGoPt+kYojVwAhWHb2ry0oxOSZVrTcub8oKVUQhrnh6FfTCeMY/Ah1woBfPAhxTrPtBQhJXSJMAnG+tH6EATDXCvBUCs+q/XpvLg/L0olqkz21p/MKoL05c2+VGrfm8+vNn/14i334eIwHFX5kGxIaRxMWZesKgRK8fB0eZjk335zMasnKbnjaXk0r04Wk9ViMinz1WIyK7PVtG4Hk4hiSnWm8kyUWuVCMoYxkfHeR3DhjjhNvQshJiLwIYVEzsdIFImYkBKj0plPaF1AoaQuow9cyKxk2LUpOq5l1x7ysmZc9LsteEeIUmkGOnhKRBQd11mKZJudrucx4u3XXzY3N1+VVVUVZV1qQJ+izIsqL+pJwRmOxnlERbAs9bzOtof2uhmW0+miyLzzn7292Y6jjwkoDsF/c6ljCP0w/vrs+H/zx5/+5JNnbTdu2r7IlRbCWGtCJIY2Jp/IBjZR4tmsrjTfDcN1O/pA1/u2D3DTj/3Yv3s0X1bl8iivMtm59KuLWx9ikSmeiCEUUvEs1GqyqLKbZtBK/d7Tk/dPp5tmuLdaFrm43rYvbg5fX+6/vd51xr3/5P7rN5vZatHsdteX1yzTCUAyLOqKAIa2HZoDMQ7RYwwIkMI4rt/KfJKt7nEETLFZb3yInDMOwACdt2QSImSZFkUOhS4kf/pg5ZxZHS0frep1O/70i1fb28H5MMP4++/e++DRyY/efbjvx86Gg3E37XhxGPbWN+3YDKbtTVYU67dvo/cxBAByggnUiTPjjAteS2GtH63RUjofMqXvepwRukSgJBut1VIaY7Nct4MduM8zOQ6jdcEMtjFjruW0zJVgPoGhtB96heHTx8eV1j6muVRE6cvb/dtDF5xxPjb9cFxnwcYxxA/uHTdNa2NyiRSALDMB/I5BLh4/PBtGo1V2NC9Pj2aLSVUV+mhSLKoszzRQyrWgRIxhpvg015JzohQThkSBYLDOhkhEPqTWuBBSImitszYyxui/F5C5QAnRhuQTpEjIOc8qFcCGXgtxGDZgLRNqt9swLoXORD2L3cG2jSpzUVfeGISQxgGF5Cr34wCC66Lg3qad9RBTrlDpSVkwwcJ42JuumkyUFFrKrum+2KyHrj9aTJXOXl2uv3Yega63Gx/ubisxptgisrxgdvztV+3/6eLt95/e/+7zpyd1cS+vQkzHk2mK8Zv1BiWf5WI1qZtu/OWr65BioeR+sN/su+BjrvmD4/m7q5lCGI29GeDqTX+1a2ykdhyfreZn0+rB0SQGsmXgiELy1axcTcp3jqeUYGvp8utLRrBuu+t915hIDP/wu89zof72828Ga2uF/ThIwH/8p7839PbLl5eX653pOsE4cGaCh5hElsVEFHzsd44j6ipRxEjjYS+1zvIcYozjyKRICczhgAhCs+99/MGPPnyc5fqd88X9efnzF5e/+ObtYjX5k9/76E8+fe/J+cIm2vX95aEfrW/68WY0l017GC2gMEg+RXc49EMvpGR1YYfedC1nA0ZKPiitvZBSqW4AyXme5f1oSp0Vmb7dbJGxxaRWufIhEJDgbBgNQ0gxGBfaYQjeGe+CV9v9IaYUYppN8gfH04enqypTnbGXh04zdtsNv7nZtt49qIoY4/PzRXi73pGVUqSYppPsxVWjCjkvCuecMKO9cW5a6MW0Wi2rXInTabmaVotSc84mVZ4rLoCkkgjAmEAkBGIMiSAS2uCBkBEAIjLWDdb66AN1NozW25Ccj4KxO8grEo4u9KM3gYbRO+uZQC2Vzou7hRDQWde03X6bYgpdm6SGySSrprqo+svXKEU1X5nD1vuAzkZCkJIDI2tQKUrJbLdmu1VVtTg69jHsri+F0t4HrkSMCRhTSqWUBABqu94fwIUYvfcueEfJe2cSEkr5OxKSyNx2/3a9+dmLy1zw1WJug19Mij/64MlP3n/kKL3cHl5cvnFEGqEQYju6N5tmWujFqi44hwQvbg/TMhu64caY285uD+2szJ8sZ0d1+exkeT4pk4vzosgzQQyb3rXGf/52R4z9zYvL2/WeCLKyCNYUSpVZbp2flvr5g2NjvRb00fP733v3wdm8/uZijQxe3qwTgFQiRBI6CwkJhMolpRi9810Do7lr3AGwxLgvimqxzCBzQ4dSMckFx7zMf/Th43/wvadSCC2YdcnE8L/7n/zk3QenR5P84NJn14cYfRfSRTNuur5G8e3hcDMaxTlpdBFC8s55NZ9hjH4wniIkiCmAczEEM+ylUFqXDBkADFkmlPLOjqNkXFgzMIqZXMQYINFms727PDpnR+OJ4jgO680uRiJEZ22WKSYWZ4t7D5alDf6r9eaXb24rnV3smyxXlZKXrZlmYlUVXzFWKDmf5A+W9e1oq8qfzSdKyt0hiHG0QrIq14MPD2bTWvFMSinYtC61YJM8Y0DISAkmuXYhJsI7T0FCSilxxl2IzseYKEUKMXXGOZ+awbqYOOchgY+RCAYXjKfRRxOod85RGpzXJCZFzpANo53MZtVk/ia9HYYBgqfoE0XXDULo5fl5XtVhaKbz5RaxZYIlT0TJ+5Qicu6BoRK6qoXS1gztYTPakUmWYkjeY4rBOlXkPMvKut7v90xr3zWu7yiREBKBbLOF6ICJJCUAQAikMkiBpHLdITBum0NRlevrm9eX6797efXd+6v3zo+Oz5YItGuGIdFxqd5dTQjV2aIWQAcTLnb7rXWvR7vZNfO6Pj0/nRbZ6TS/Ny1vN/t/9cvfYqLldD4Yh0Q6y9f9GIPfb5vPX16AJxJYFkVRZFWeI4zf3IRFlb93/+ysLn7/+RkK7n242Oxv900i//e+++xvfgH9MKYQ2HzqrOVCemeidZ5zvZy4cfDOMiSUHGKEsTPrVC2PdLYgokzL+aT4/U/e+fufPr9/NA0+mJCuYn9878Rx/qIdf707fNkbCPS0UN9048Y4H+Jbb1zG3ABYcCpE13ld58TAHlopVBKYRhejT4nS2ENMyTuHwo1G6gwJrA88xRBjtVhwBGQ4IGy3WyE4UUIizn+nrTbOBxcGNyZKjKHZN8CYqPO27ctcn8+n66YZTbzYN9MaZnWRc/HN7Z6Q/uCd83XbT/Jckv3B49Pg4y6k0+PF1Xq3qAuUXBRZVlU6k2I1Ld6/v5rmylh7PJ8wRC1ViilQKrQiAMmFYMzGwJEjAgEAspSSDWR8si501sVIPlBn/eCijTFT6GIcrWfIRhsa413EzriuN8Z5IbUN0YZorQ2JSq2lkmVdj9b1uy0JFYzlPPFchxgm81lx/7TkSBwT4749hBSzMuMMow9cKdTK9a3r9vZwaPqOFVU+n3OuhBAQgyi09T5DaPdb0x2UksN2A4wBEXFFKYAzEAOwgCkREbcmFhWlkAS3phc8C9a7fuBKDG33m8H84jdfPjk/+bMffPjJw9WHD44Vx6ootBSSUUh03ZpZzhbF8Tf7w+OjGZmFlJoJrgRXWfHLl5f/r3/z181gGDEKMFp7vpyeLqe3u4ZcaEa7qisXA2N86Ec7Wj+Jmc50ka07s/7sq//xH3w4r4ubQ7NpzWjD2dH8w3ce7nrrEn7x1evdZp9SnJ+c5IWWCLc3N+NgERkjBZQAGBMiX8zDOMYAnMPx8dFiXi8n2fsPV3/2vXcfHk1aM17tx19tDzdAJgQfAwIQ4lUMTXDW0jb4gQMyVIUeDW22+5WS06nev7asN9ynvtmWsyXXOnUpJE8hARJQoBgJIMKYkocIdVGDR6WV4GLsDxgjeJ8haC2jd8E7pXVKERETIEEMo+GCR2eF5CLPGRPLaXlvlo/eXh66r69uVtXkwXLRD+MXFzd5nn18/2iS5a1NdUZVlmVafrkbv749fLY9/OqXP/uj9987Wp2KP/zu47oqppof1fnxLM8YIKszqRKlO3Ww9RHQS6EBAYHlUhMRANgQfEyd9aNP1kXrw2F0xsb9MHajTwS9j03nQko+Rs6YDWmwoTOuN3YwzjhXMKGFODS9vpuFSDGfVLuNbpUOk1kWg1DadV17e2u7PitKcXY8W06P59MUqOFs7Ls7dS0qlWIym423AwbLpc5PThnPdJZLrW3TJKUFYjGbxhT7/RqCH0cAa1FrIojBIERMQJEgBowJkREBOgvBISJwwWQAkHG3x7IAxprb22oxe/3N2//zy8vVYvLp+09XparzTBf5B2erbdv/5VdvlpP6eF4e1VWu5DtPn5jg94P/5nLzxfXFr1++GdqhEiJ6SkjzZZ0p/uvPX8wm9aTKiZKS7ORopaU6DAPjknEmOB8OzX7oP37n/HuPTm/2+31vIyEXnDPRD65S7L/4Bz/818eLf/1Xv5zPZt3Qr5YzCi7T+tB2TdvxKp9xMfaGKZ1XBRFNq/L77z++dzx5fn/1/P7RTMs60+um+5vXNz/b9d/63gswhDamSAkRG/KOy3XbqZS0UiWXF22zda7jSVuDDTpvY7PngZgUtj1k1ZQhxwjkQwweQmREkSKZAazVs2NEFtMYrOt3V0JyzrmSjGE9jn20FoBSCpwzzrkUHBgbBA8hpBQjAynZh++c/Oc/+eTx6fzLq+3rzW46qXKReWd/9vqN5Cp5/2Ax64xZFfp60/T9+Befv/xqvfcQP/vqSzLDy6ur1XIp/ujjp857xrDp7W1jn66qaSaRMc6YdSEQlVmGQC7ezXXvFFl3Qm2WiEYf951tR5cojTbeduN23/fWA9ypZFMKyYSIjKVIg/XdYIZxRMZiSGM3yknNuMiKYjafhhAAmC7Keup9TMEznunJdJaP1nQHpcRyknNGQsqiyJRctVXNEGIIMSXNRaKUGEsxmq5VuV4cr7rt/nBzO10sp8fHzltk/PryjUSBZYkJLHFKkUFAKWNERuFurTLFhJFAKHCeKPHgSOcxEM8YEIRDI+uaKz7u2snRcjWduhD/6mdfAab5bKYz9W/0N0TEOfv1l2/GGJRQs1w9OFtd7PYhhklZjtZF41ZlGVNKgp4cLz589uDrixtvHPkUY8q1RqLVrFaSzaaZcdElCtavJtmHz07/7NOn57P8t5ed8aFzUXFpY7zctbNC73tjvP/44+cYovfVNM/nRQ6I397u+9ESQ+98XWbv3ltqDiLLJlX58eNTxUgriYA/f3Xdu/By3/zVemsz1Yvog08ETUIC4oQdhb3tWKCTrHh9ffvBZN66ceddPxryfD+MsR9S06RESiggGbsuWU+BICYWiCImZBg8C4lSElyMu9voBgoOKQGrYoqF5pKRG20MTmpd5hnnqKXgghOgsa5pAwnxH3388H/0R98/Xk5Toi/f3rw5tG+bbrD2ydmyaywAHS+mi4zPq+xqa/7Vr1/88tsb5sxtO2xdaA572uwkY8EFgUys28HFGJ0PRLMqLzIpJQ8JBhcBMFcSgaxPdzXtmMjHmFKKRClSoBRCsiH2NvgQN23XDG7X9p1xPhIASKFComYcGXJE7IZxsC6EaJ2XWWb70VhX16WNKWci09JZKzivq1wK3jZtN4ymN8vFdDI5EZAqxbab9Wx1PHTgkK/yed8PrXU6y1JMhIxzTMELpYjY+moNFO+981xqtbm53l1dUgyqqqvFMRDpsnRmsXnzClzPKDJVeR9SAg6EQrI7fTRDIEEUmDWkMjAjzysIzI8DAOXT+dA0krOyKI6PF4FoNa+ubtafv30DgCzGRBS9Z0xcCvH1m4tcakQc5uZoWjMpMkZZnt0/Xvzh+w/b0Xz2Mrxzfny7bZ2PR/PywfF8Oa0ppTzPBmt9QkL45MnJxw+PSsG7YSwy7RPcts1nt7ef3+xllpvRxBgrpc5nk+M6yyQrtZgX+bTK94cuk0oq2DTD/dMjk8Llvn80r46rAlJKMQbnf3G1+eXlbjOal86xUgUWEJJAbKx7dbs99D6TMoGnACGkPQFP9Howx4sF23fofAjh0B9g13Dnkk8enSznrm0hRvydYA8xRfSBiCglxlQYujv1C1Mq0yXXigEAxbxQ3o51NZnPJplgWaZGY7mUTdvWufjw2dMnD45+9P6TTIrPXl5sBnOx3b9omtGa50fzsbWvr25/772nX19txqR3vfmv/upXP/362kdfCda0XdeP481aeB+RdYNpDgeRS1YIFgWflHJVZ4qBDTFEbJ23MUFvC8ml4C6B4Gx0zjofYjI+2RBjIuuCC3HXjT6m/WC7bjQuHIYxBgqJYuqR8cE4QOSMdcPoQ3LeueCp7ZRQg7VcCCHK7aHTSrKYGMJsOqE6na4Wu0O72+znpQ7eMg7zSS45XNxcA5NEZE1vxxEBKHjBWdt0AOS904w7P4iyFEpdvn7R7XeEIBhSiGbnxq4ROofbm6KuF+f3m+u3YRxzpXVe9Pt9NJ3IZCIAGzjnAJCEvvOzE0OWImoJnrmuj+PAs3xoD8jEydnKh9i2CyGk64xzjnMmGIQYGFMYUmRsdn96drKyPrBEZ0fzWc7+4IPHz85X7Wj+/NdbzjkmougX0/rRyfJ4Xk3zrMwzhqDVRGvtvXt8PJGUMImr1t525our3V+8uPjq+jYxREDBeNe0kOL91Wo6qwJDH8OiyjKlnbHfOV08P138etf/129ur/ZdjemPH5955z5+cIaMvdoe/uL1leV8prIypl9f3xhBnmF0NhgPPrJ9a60nisSkENx2rVbZLqXUG2dMdCaFBG7EXUM2cJQQfEp7zkQKAVLiPiTvCBlSQu8BgGkegqfo75I8IQXNdV5W7zw5f3r/3vVtsVpMq1xUpWbArjb7RPjO/cWD4xkwvNx2//7XX69mk3/32dc3g4nBr+aTZ6vTo2l1tW+/996zt5vdby+uP354/up6/dmLy4yLoTV7gK7pGEI0AxBxzpZVMXS9eLwsjQ+C4VGhS8W5UDHG0ceQuPVpPVhICYga4wTSJNN1Jq2Pm95YT+tDOzpPEQKAC8EaP1p/GEYXojE+JujNIJjwhAlAcNmPJsbknCOgaE1n9+V0gYhCiUzLpusXdVlVFeeJI4QYcz0rFZMcGMjo/GqSPzierZaz0aXX15umGzc362hd4HyymM4WVQiUKATvvYEYnGn3tj0I5yiFxBEIYgrJiWRHJnXf9bO8mJze7/sOE5XT2ez03tDsh/0u4Z3lmiMixWT7hqSgGIIdGRGXmgkRh4FGw5Qsp9OxH5ALzvl8UjsT2uZgR4s+ciGkEIKz2bR+9uCMMyy1/N7T80+fnDw4nitO19v2ajeklI7q6s3Vbdf2gnPAo0LJo0mJAEezmkHUkhe6WlYZR3bbmTEkBBZCvNgfZJEb56z30VtZqUT01WHHvdFClJqPELR0DOGffvXq//nTz2/3ey45An70YOWBfbvbzcp61/UvDodXu0aWxRhTPxjuaRz70fuUAnI5HgZoOwyJrGVKJc6g7Rz0njA2bTFf8NGG9oDGgfPJOkqeMTG2tzovMZGUWQKGwPAOo+EMUqIYEAGcZVJoJcrp5A9++Mnb9frseP7oeHY6L6dlPik1pdQZSzRVSt4/nl6t9/1otVajpz//+Vebvj1bLFezCQXPkN+242jd528u1/v2k4f3//S7z/7Jv/9FdFEyQh9TjIWSMYTkXD2ZSCGPprOLy1txNp346DkXPoZ9AGfcYExr/ehjCGnd2xCT9b4xFgky0d2bT0djX64PgwkhRCKwzlEi60MIYbtvN20XQvTOE3Lvg9Q6IlrrpRDImR0GN3QEiNGDj+PYU/AU0vHRRCvtY5pW+mRe7PbN7Xac18XibNn2XZ2VGMNqVtZF/t2n9y6vd7mEv/nV11mmZJ1LLuZHi0yLZV3a4K+vbzdtb9u+tygXCwQc9zswY2SMcYnRk7XJBVC0ubmVRcaJJWt71mWMM50dPXnOpe52G9e1yJnKMpnn49CnOCBHIhRCphhB50BR6kIiny6XMtdVnq/3+9EOeVFIpeww1EXOOOeCay1XsyrX4p2TxY8/eqgZGGv2Nlwdhn03Flq/HLcXtxvOeVEWAKCkKjPFkXLBEtGiKjnH3oVA8NWme7U+NL13ju5PZr+93Rg3mqHjmnuLoDUJSt5lRT5SbA5NIeTrq+tJkffDKIVA6w1DInQhntWzf/vlS+/Dbhy+GcZ+vV2U5bLKQ/QYkx+MazvOABlPhxbv5CzNASIh4xATEZHWlqtkBmqHZCwnJOspUOIcnbMhshR1tRBCejOmu/APpbsoAwshMcakni5mP/7hR3/244//5jdff/Dk/iTPNEclheSsHS1jQUo5rfJhdJnOPPLP365vd/3xbHL/eA7IO2N3TQ8YISJDqFX2H334fK7lv/rp5z/7+s0iVwxRi+lmt5+U5eWbt1pl8/kyBNv0Y1kV4m3nMpZe79vd6H2IAlFy1hh73Y/WxxAoBC8Q+uApgXHu1W2TK/XqetMMptZZJhgDuNkdKBJR2jXNrmkTYYqRYiKhXYKQEqXkvOdCAFBwPlIUSvFCA8UAcXBme8AH90rOmIup781qNsmlUJJNJHvv3iwETzEez2ot+KPj2fGk9N7m33//L3/1NQP48N3HisvnD44/enL25np9vdm9uNn85d/92g5D8JYSldMpzmZlUVCM2/3Odo1QOQph+10YBaumyAUgC9YNu00TL/V8kRcVEMJd2LGudd8123VyXqsMABmHer5QUmRVmRd5WeTA2etvvkmBRJ4HioLxoDQIFULIM3F0NJ9V+s8+fedkWhPE0ToX0mGwg08xRYih1uLR+QlHVmTZalpPcrEodUiJMZznpQnhemu2vb1pxrfNeLVtxgTXm60xXhCLgwk+GGMJoxsYusCR+25ou1ZOirfWAoE3BmOSOhtjrMqMefrzr775ZLl8fbt727ZRsNsYSIrdZv31TeQCdaaEj71xbuiBAcaQmh6IwDkMgYAzIRARI0bskrPQjUiQvAfjGTAIAUJCgRQiBQfAWIwAcJf/4Xf9XkQU6uh09d33nv7gg6cx2Kf3Vt97er5rBx8iAuy6YTdYAlYVmUDmUzoM7tX64GK6fzI7m1S7rt8OY2+d0tz2ocrUx88fruri4vr2t4f+Yrt/sJotprUx9mK9E2yutWp2O50V4EOel5mUy1kl/vzLmw9WdW/sN9vOhagEV4xsSPvRr7ux6cam66dVNisy74P1cRjHXKnOBUd403ZgXCLqhhEB7Th47+wwhpS4lCEECJEL5WMgSkwq23dZps7ef4oMAOjqt9+G0eVTHlIMgLu2LYtcq3zw8UzzD85P14eBUjw/KkstB+OLTM7qcl7mAujZw9PVGHpjvvPswUdP76dEJ7OKUZioo3vHMyb4cV1e3uz/u//wC4gUKM1XSz+a9c2NYOB1RuMYoqOh9ZT8YcuzTExnydpicRwhO1y8NUrposTIGGN5XS+PV8vT034Y3GCHrhWC8yyfHc3LIssLbYzvxmF+fDwMIwBTXGgpZwKLskLA2aRYVOqH79x7fnZ06AcpRBvturWtCS7ESVnkQpwtJlWWD9YKju/dPykyaY2zIRVar4fxi5vmm6v923Xzm7dXMYH3bnSubXtVFkVeLsvZzXZt+y6hJ2NTRFmWXdslP7owjdbooowUkxmEOiHEd05Wb/rD26b5Zr3uRmtTBFVEwDQ2EKKzjoVklExtS30HMYL3BAijRecgJiTEZJExzgQoAkA+DhhSSBGNw5ASS+A9MoGBZFYIJgCR65z6hjGGQgLRnQmgms9+/L0PfvDB0/vHs5hoNZ+XircM+pR8SIGgzjIToo+pd6G3/qYdcinuvoPHk2xSaL5tWNMh0dHR8snJoirU12+uhcqWU37oxu88OYsJvrm8ZQDHs3Ka5zo9vNk31xeXy+XywfkxZ0n88tvbm237ZJHfr7LPbpp17yCFxrrB+YxLLaXM8+t9N4xuVhddb1yIfd/YGENKLELb99GHELwdDRBF54CQEgxtDxQTRa6LBOCHQVUVQ2bH7tmTDx48OfOGdreNrnx7s8kB2GLmU2zGQTCYr2Zllb17b3E2Kw69OVtNai1dSFWhBWfBhyJXj44X+8H+53/ygyenR4OxpVbO+260UuAExI8+eHz/aPbZi4tyUhz23c2+XW/2CWlSF7dry5QkpXEcmBA0DJCCd4O77oVQ/djJ5en8weMwDCE4TeCtZf0wm82W8xkSIYVC8dHalEBwFoHFsj6gAAB3/UlEQVTatmu7kXEhhTo7n5V5zhBqLR+uJhSSJ7q/mj9YFt97em8wjhJc77q3u27TDMhYIrI+ZoqfzWsAKhROyuJyc9j0RiBziYCwGcxffH2x7d2h7XZdN1g3tm2wBoGlSM3tOitLrSWr6q7bU4K8rMp64twwjuhGh9Y735AfMfp1pLKsX252r5o9CN6NY16XNkLYrwl5+P/T9B/P1m3ZdSc257LbHX/9/dz73nv5bCKRSCBhCoRAEkUWGaGoUlSowYZMVF89/TeKkPpSKFSSilQZklUECYAJJNLny3z53Gevv8dtt+ycatxk97R2nH1inbnGHOM3tp3Yb1DbRMxaQEzYDTwMyAwEECOm/Fv+CgMQiaKWgsUYKOWUCbzHmIFRMnAmEAxAk/kBp0wogAm0EUoCsECUSrPWz9579k/++Dun00IaqYSYVmXKJKXUklKiprCD8wg4+MjMnfeFkk+OFjnlw1mjpfCx06gKlMtZPW+qbhiVxGldDyHdrvePjxaPD5e/evG20HI+rf/hdz84X0yv7nY/+NXLr5rJzJp5XSkF6qsXl7eTetdPzicWCGOgnfObfuiGQUvVlIVAnJS1RJBCS60VYeeGfhgSURyGlFNywQ9jzglSkkojyhBc8CMIorHDolbllFOIuz1UVTktSIqj1QwRzj99+vid0370n//tL4d2P3YgleRMk6aMDFWhDqYzHxtrDDAXORulfIoxJq3VwWxiC7WYTLSALy9vF01tBRCwkaqycimEQXpyuvjn5pMv3t796psLA7je7oJzyli/3WdgNEbaIuuSxkGlmBWCgEwUbi455WJxYJp5NZkoraSS95eXQ9OslnPJuSWqqxpiyMzzSV1b/c6jc4ki5jSdlAeV+db58luPVvO6IMaYaVkVSoq2H2NO286te+9jHmMurdQChxik0Bd3u84FraTZdJsxfHaxqbXeOZ9YcqY3d/u317cAEJwHxLqqRiYELK0ed+sheBByMptVslosptYalLhanFHMzrm267ph70MGEOTTdFW6fRf7QQlBCO04ZiLY7x6keuiHjB4AgBMQw+jQOWR+EHY5ZzQWUoZM0pRSGSBi57QxPLbMIKRMMSEIISUIKQEBsJovKfiQo5o0iMg56aLQxiwXs//8+5+cL6t5XVitjJQh086lQBxi3g+BmARC59LgU2nV4aSeN4WWAtFWVm973/kopThaziPx27vtpLIEbgjxftdaKf9Xn76nJLYH81lhPvmDTz5+crwbnQ/x42dnBIKZjVFHq4m6u7tzKUJOyU/6FI0tBEmVZWOK3g1vutYIrVhoK5kJAZmhKsuuH8a+6za3nEhI+6AlI+ccIwvFfqDsiDwTi5xz9KgU2oIoT46Wp+er3rnVpHr/0yeM4vTx8r4dXvy7n4lhkFUpjbnatTe7ZjPmxmqrIcdobWGNVkqWbHrl79shEu4HV2jbU77v/Bj5ncOpFKK2hdEq5RQTC4aDaaXksVHq6eH8ar3/j5996Qj84GHsYRyZSVBWdfNQ0Kq1yQicKYxDvL4ydRNjWp2ceOf3m23po4ux1kootd4NkeLZwYKITw+XVqmjab2s9WpWaQkx0eXNtjhbvrzdLSfNMIR1PwDTpCzertuUSQAqJVwIlTVNUYaYB58iQUp81/u397s+RMqw6/0Xr64QhPMj54xKF8YmypTy0cERE43jaMt63O9JxO2NE0KCLe5evwrdXig7OTokylVTn81XgzYuxcXRYSnwrtvDrqWcSCAQIRFHj95xTJwyACIgpMDEkDOmjEQsJaeMUiADpyB1aao65yyMsdpwdOC9LGvy/qHGGIRhAFM1pigKa0iAEo38rYeSl4vZycnRo7PD73/07HBaSSFKrVNKY0idiymldvSbbqxKo4QYYkIEIbApi8qawadCi6tNd9+NxPjoYH6z6W72rRHi1c1uVuvSqGVV/NEn7z9eVW9u1sum+vTZ+ePD+Zubzb/75YuXl5uUc2HNvDYHi+Z0NVG3L78Zx9PoYztGRFDYHi/n06IaY6QSdn4chs6Ywm1p2LZKKiUlIiBD9CMIkZNPIQqpATh7TzGw1CCAETgkUVQoFMUMRhfL6cG3nk2asqpNCwijP5lVn7fj1eW2ntVFY12KDHm/35AQl4fzm9YvKz2rrNCgtXaZXq0H54ZCq19fbqZFOcZ407mc4dVdj3KYFqa2yhFdr/fAIAT6lLXASWXeO1/Ro9X1tnMAPwYxDG4EBK1T3wmAHDyiFIUlIerJXNlCKA2UUwz1pGlqO1sc+fPT6ANlUkos51MN0NRFU5qPHh0Mzifg5bSYGKGArzbd3X6c1+XWXb+938/q9qGQa9ZUV9vtEEJKWQkxqQsX0nZwzsUhZiFE78JuGH3I297tulEKudvuurZ7EI7T4IqqnqwWIKQsZNXMCLFayEnwF998027vMEZhdQxeaKNMmcbh7vVrQbkzWpW1QmYltyl9fX+bUpLI/MCFywlSwhAgRswZM6GQQJmJEUAAcoosBCICM2bi7IQyQmlmsHWliNPQgRCzo5MQgk9J2hJRxHE0tmjmS4VglGAWk3rOlAXiZFJ9+PzR9z56rpWY1aV9KAQJiYg2g79re4XY+tB6b43MKcfMWsoY8+1+2A9xTIkJRhcycFMU+95f7roQKRAhwMl8ypz/4vc+mlZ63/V7FweXUuaffXPxP/z9VxfXe6lgMW1KawqtjqZNZbQszt4PfgyZfUwgZIgUYg4hPgDpoVD7oc0hnBwd+d71my6FKIQCgBRjipFyDn1HMSDzg2UKAVlpBCZEZgFCQFFCilkKdbQ8eX46KQoCcET7RPeZXgzOKNE0pS+KMPbUjWo2Z+DG6ELhdeeborju/Y9eXf/t6+s+5q4bf3axud4Ov3h9G7L4zdX6ovchQ+/JoXhzv/v6av9XX7y96aLzyaWcYtZSjT5u9x2A2Iyp9TmDUEVllktdT5vVqphOhbY5EcVI6QFSE4gYGYauiyFSTDnnstAnBwsJqCB99/nJ9z949KcfnCbAQisimjfF6byZV8WkqqQQmeh0OX18OD+aN/vefX21HnwcXXwIxCkUvQ+jTwAcMg8+7vvx8na97cehd6Pz/Ti2Xe+7nlJCJUCKTNFFEtqmkO9u77e3d+Pgjg9X88WymkwRwQ8DKqGEABBSGqQM0UPKOYTMlJ0b2x2FANFDzhwDjAMPI46DCAGdw5Qw54e6cCASAECEKYGQDyMQZhKmkNpIqXVRCMDu/raZL6ez2bC+812rpnNg4HFUUk0OTwWStdYYXdflcjE5Plgs55Pf++jd3/vonSeH00lpp1VRaDWEvB38GNPtfhh87Aa/7/3VrpdCxEw3+6FzvrbF9a6/uO/vO78dvPc5RLpc7643/fWmffn6GhAfHS73w3C6nH767PT2frvtw/3eWa22/fg//PA3X73dIIhZZZCzD5kZMvHlplX6yWPX7rr1NaXkhrGqm9JYIQAzp8QIXM4X0Q/zWY0pt9sWshwHb61qyklygVRKQmY3ZqmF1EIbQslA7AIwsLaEILXi4KgpXAz9GHdl7GJYTKeXPqxjHIP7OoZlo/3UiLBK7qLvu3slfnO3I8rKqK1Lr7f7qjJg5Z5gHcOLvo0DXdze7n2+27et84WUP5dCKRViqkqrrX67D5pp2hTn0/p8XmqJ69Zve1+X9uT4kKXuu14ZG0RMMUAmlqY8mALn5EOgnIM3VZklolCRiSgtmmY+a5pCC4TSlp88Pf7wfFVofPdoknIjlaysudnsrdbvHtfrdhQSTxeT3vkv3t72zgMAZ1r3o1XKy9QNfoyJGATArh8ig08JhQi9G8ewWW+c98pYofXYtalPnHNyvVAqTJfkvRACKedh98Wwn8znQurV8Wk1m3f36+x82VQEYmytaObOjRQHDoFzZikUU46ZEDAFiB4ZBCUmAmIAENoCIwMiMSICMKN4uPKieCDAmoyyqpuyadxuf/7uh0aL66++CENfnZxlYr/f26qenz1KwSOIqqnPjpbnx8uDWb2cVFWhD2eTg3m9mlbrbiyMypnXg89EtVUx0+W6u9vsOx+6lJE4Sfly3RYCMuO6HTqXcqbC6PPldO/jy6u1kXLXDsGnu32//+KllPDt56fX95vr7ZAzC8Qxps9e33x5sREghODgfEvsfN4a8/XlmhGUO1/oMM0v3gzr68nx49GNr16/rutmNpkcLCfJJcvYNAtIFHMmIK1UQsaUUIiiarxzIA2LAIiUQh49ayvrSZYKMyEApJhTFkLkGHo/3rSttGrnxwR45+M6hKHvUkq9S4q4Ppzzbt/f35miuNx0UyXns+K6G+6Cz8k1q0mX8ohcn87HLs4NXG72PuVN31mpUkxCqbIuI6h/9skHP//q7a9e3D5ZLTUjpzgtVGFtU6VzIcdAY2Jji2EYMSZZFFIKoy0R9+1ea11VtS100VTGWiWENXo+rU8Xzaop503BOU2r8mjeuOCJRKEkGsVE6/3gGXNILqRfvt34lJfN9smqRuDHB/PaDi+vN8g0ejcwSiFDTgyghOpH37vAAMkH1w8xEqUU+9G1HQiJQnJK0Q0UPbjBuxG1zeOgrRZSAeWb9R1qM1mujo+PlpOZG4aH3aUtKwS2Yz9ubiiFGDwwZeckMoWIyWHOwAw5CWAGRGWEkJQSMAghOWeUEqUGRGkLIQQLSao4PDk2Wlutzk6Pbr7+5u3ttTK2PDjiEGkYl+ePpLHjdlvV5fJo+e6zs995//HRtNBaW61LLeqyWE7KFGNtVKHlfee60T86mO6G8PXl+qcvrkbvBGA9aW58vBh2Y0xP5rMXm/3eJwhp6B0whZg4U9ePOcauHwSD90NRFikHpeSm69e901KHzF+9vfnm7T0wBh/XoxuMigwh0jp17TgMbasiJGkkLGd5/7a7vRRFLQC7u9twdIIMda15GCHDJvRujFpb17VCqYzAzFIXzWSRQ6QUYxjxAbTabZMUaAsOkYAAyFSGhc1MnmjTbgstfQiXfeyE6LouDR0AygyeiFLPCJDT0I+vLq4npQGFdVXUVt3HHAc/KrgPCTRyLU6b1WstapAffefJ6+vN89PDgf16DDHxX1694kLg3PY5XG/7GOxGw0P/lw+pLOxqDvPZZPCBGFlATtTUlZWYM2urQUBVFvmhD68pn87LaaWtMVYpLaCx9fGiURJ8JCWk1er1fTsp7aQ0PMbrbf9m3b1dd/Om/OJy27rw8flBiGFW2/ODyb73m27oXGTAB9BfyuR82Gz2xJxicoOnTA+MWw455xjcwDFiSpwf5t8oY5RKcPRuty6ZhCnT/XWf0nUMq6PDo8MlEa233cCymVQxz3faun4f/Zj6fSoFB8eYCCUxARGgAERAKaSiGH9LckKBUsqy5hTwwSAoZAD10ccffvjpB/e39/v19qvPfk05mdlCaRO9r6ez6vxR37Z+t61n89XR6r1n55+8c/7O8eJgXo8uMsNiUjWF0UKCEYUxKWcmPj+YZaa//vXr//DLb9pMPnitdWvDSHTtnRJ43XW9C/vOmZBp8G4cKaQc0+b+LrkREqESZVPn6HvvX17cfvKHn/z64uu3dzeU6G7Xvnh7naOIMY/RI2epNGeKMQ77++SDcrtu9K6RVtQVowzjXoHQtgqu3/d7JWdW2m6z73OrrSqKQgJ22z1qlVLSMSKAlIpTghhYSpQyIUP0wESIAgUxxDDk1ZytojB2t/GNGxUjSiuLIm13lJJgziiZKOxaSSiVRiG8Cy8ubsvi0XwIthTAPMQsWAaAnYsaGZGWhw2j+s6jg/fPZuvIouM1sB/G69EDg5iqr1/f77G435uZNVqi0dhYNS01Sjn6YI1iQB9DMiA0+hAUSGQYnKeUrLE+5ZrSh48Ws0L1nna9O1rOjxtjlBp8VAKMkiFRG2JtjRvj19fb601/sR1a58eQdr3bD/5uM4YcV5NS5IQAEqApTYgZmfqu70bf96N3Dhhzzjkl70MIkYkEQIqBvQdAyFlkyikIITkGYMkpSqk4RARAqSg5P44IrJFBieNFs1UyxEwpz1crV5ZDt6eyzJni2EU3pKFL3uXkiUhKLbQGITQiCEk5I2WUGqRizqi1Lioh9PP33/2zP/2DL79+xQKu3rxKnG1RBzcaI4/OH0fn93e3pjD10aquyo/ff/p7Hz57fDCZlLbQGonrws6bAhAQYdY03ntimNclI/zrn375t795dTc6H5MnMkZfd20gGkMYU9iD0pGjiylz2uyCc/dEFEN3d6elgJyVtXHEceiOz45QsBDipu1/9s3rSpthdNvtNgaOIWZOnEEImWNIYcjJS60UtHtMMWAwRktTAOXUtomiC8N+u76vprNJU09r50IM0RglUJR1Zauya9t+t+MYOEetTHYjMHAiwYK9h5iwqihFZgrbHWsBleUgopCh70QiWxSmmbFPFH3KWSglAMA7ZknIKToEvL64nsyaVV3m0ZvSCil8zLvBbTJpCTvJx6U1gD+8uftoMashJaPKlAapS5Uv94Pf91236+N+qutKyNKa5bRuqmJqjZQBmCLDMHrvIks17LdEJKXQwTNRNannpXp6PP/kycGqNtPCHFSEB9PaagQmxlldGik2g+tcOJ9P+9G/WLdfXK7f3Ow2fTCVvd60DJiJ73dDN7pZZR8dTBuDhbW98yGE4L33rmu76CIxEXFMOYwuBh98JCKiLIRQUgfvARFRCFQ5JSkAEkuUaAzHmCnp2VJJ+XufPn//2aOvL9brzhlEpsRMiOiHQIz1fJm8o+BoMolj7/pdaFuByAAohECgxCAgx8BSIQhUkhHBKFsU9XT67NnTb334/KuvX//8Rz8fui7t96qpm/l8dfCuG93+9jaMg6zr+cHhs6fnv/P8/Pc/fGc+KWd1oaUi5vmkMlqGEHfteLaaE2UXo4s5Z45Ed+2w7tp+GPu2iwxMceBMOaUQEGBMgNJg4nHfUtfn4KJVoW0f+rgeaAvtrv3og8f/x//6H77/+Oj13Xq7bcfeBR43+3b047BvOfoUklBW2yqGIbUbRM5CKV5vQUCUhk0hw1hNJzHlMHQct8rWOeex263i8vHTp24IQkAmkkYL5OmkpuD7MFJMxpZSKddus5bgR5SSpYDgGAAIUDLv9+AkTCrSCntmQLdr8819cfxodD6HwEoSIMZMlGiMXkhRFALx9esrbczxdKJ9T1aIUueU+zEaLXUtOoIJpNbF/xDWh4VZaqUlXox+gqKWsIGcDe73bXRhz6I2VijZ9HZ2MD0pzeG0AiGc8xEgMry9XRsQB7PJdFJ88vR4Vspp3Uhko3BSWsUsQKAQYwgo5F07xJikFEopIeRXV+ufvb6pi3LTjde7drPb29YKpTJR1w0ScXDu7p7bwR3PqkJhypmZhRB1WQoht7tudI6ZgCjmGL2nmIjyQ2kuIAiFlFhIhVIo0ACQQxBaKykZyUv95Hj1p7//yT/6/if96H/6xcvCFJx57NqyKAFoyG4YnFESiMrKUiKhdHN0CgdHmZhiHMYhxWAZYk7SaKkNM3BO2mqp9MFqeXJ6OJ/VX3z+9cs3V0qIpplUJydHJ4dGyc3d5vbtKyHV8vHj9999/L0Pn3zn/cfPTo9EzihwVtfd6Icx9iG1LrbOL2vzVIuY8noIV/e7EIKSar0bnE9ht4/jyEXhd/sUPecsiCFlJknTaWxbDEEqTBGAWSmllY5DJ4zpQ3r85Pj//N/8l09PD76+uP3m8l4oZI5t7zZt64Y29hvOiUEwpeRbTlFIRGlAoMKuZ4FQckaJViXOanXApgw3r2noOFG1OpZFsdlstdaQWSoFTH3bR+/82KcYiFkKqXQBUitkLCc5OtYKRi+0JGAKngVBZGACI5kQpEYpcrtjtKA1uJEQEAAiMRGGlJmIOTN6H26nUwS5rO3ovB7TwaRoKazbrga7yRnKghDedN0XHTZILsS7frwKYQrIMWUfRIpjcAGUG/qRuQ0JJP7DD85rgwCYKFptjJTpwzOr5MFsYrXOKQJzVWjnfKHN23W3bnuUYlVYq81tt73edoW1t9vWaiVRupRf3W423ZXzvu+9c2EYfVWV69u73+JREZHZOef80kg2ArWUSqvMiELWdVVYs9+1w5BSSpkycQZgZOaYUAmtFEvFlABACUHASSmJGEIom/r3vvPJf/Gnv/uPf//ju81+s3d/+O331pvdN5f3R6tppdWri5uw22IMjlgqLcggESPeX9/ErkNEW1rUSmklpGh0k0NSWtnS1FWJShlrzo6OEtH17W7w4eBggcrUZTlvKqNl3/X6cHn26LiaTt5/evIPPn52vmyQkkUwpTXGXO769b53IXqCkOhsUT8/WgDg9W74+mrLORutv7q6f3237df7ft+SkHkcQt8JKSllZFLKolZhu8VMpm7C/T0i1oXV8/nNm7doqrIpP3168t/8V3/2/W89eXm3+/x685MvXqdx/OjZ6Vevbm+2ewEgjSZSjAg5x2EEBqkMImtjFPgRmwnETLkLoyepbTMXyqhySts7oj54F2Me262QCCkVxhit290uBh/GDgGEVghITFKqnLzQCrCAfhDaMAkhBQb3YIyDELgswVhmBpezj2G7VsujPHjmiAyMgnIWLPM4+JTsZM7E93fr2WTSK9V657eh6exyVt65uJPCMt74WCk5hHi12aUcgchkoNE7RHQRMrGQzAmGNkjt/Bh8JCGPZs1HR1OlEDIXWvQ+WCWNNd9cbW53XTeOq3lzMpucL5r/+WdfSltQjG2IN2233/e1Kd7cbTbtqJSyCFIKALEf3a4by7JE5hBjiuH+4k0KQUjFOQshy+lsDP5mvbHGGuREBMxKyhijVnI2maTEw+ij8qCVEiLlLCSAphyi0booSxQi50yUpFIMmNy4OD//L//Jn/7uR8/ODyYamRhPl7NCy5+M4+++//jqfhtcWExKN3TMioikUggCOKEUk9mJNib0Q/ChnDQpRWWMRBRCUErT6SQFX1blfLHYd8Pd3YaZGMXo3GRmTw7nJ9OqqYvp7NngUllWHz0+OF+W3qdx9E1RRAbF8OZu+2LdVUaVSh/XxbQ0lVGX6/5mt7/d7F3m89XiVy/ebHofRkeUyqbp+z7c3CKCMFb4AEVpbBHG0Rpri3LsuyHH999772DaJPIfPf/Oh+cnf/Tps/cen4Scf/Ly4odfvd70rh/H85OD54eLLqTWudeu5T5LxJRzGEejlFKGmZXWi2mtOATse9YaCSUHNGVCXxQVq0rUixyDRDns90AUvSfnRqOV0kSUk4/eCUSDmB5KbIlRaMxRlXUGSZTAaKG0jzG7gTVDTgAILkDTcE5ImYYOUYmUKQdGQED0DnSJQuZhCEKjkCPgq29ez1eryBkQh8EfCan6tOnHOC0GlHdASmDe7DBEJo4xQiIGFEQQYqYslEwoiDIE3yfeaPOvfxZfnB/+/uPDiQYGNy01A12sd5frriisMfp+11/e73+GSMCi9wRi8F4yuswvXr6VxOMQfEgxBMqp97HSRhrthlFK6cYhxyiEVIVNPlCM0koAzCnv1huBQkglEGKMyAxCSKV23WCVKMra2MK5MXrftx3nJKQp5gtrrbFWCcwATVV+94NH3/3gyaQpV7PJyWqeYiqt2vUeUKTopZTfevb4br0mam63rdayaeqcmJik1loicJJWGVu4ftBN9enH78aU15v96BNLZKKcQzeO+82uaWICMYzDdFIfLGalFUVRFKVZVcXhYnI0ayormbEubWH1vnWRWCsdnQeily5uh3Dbu49Pjs4W9c22HVzofPjBF2+A6GRWDSHtRjeG9OLy/upmHZx3oxvu79g7UZTsnK2qLMS4vp3MV0VVSYlGlP/iv/5Hf/Lxs91mK6VazCafPD+9Wbf/6se/fnu32w5DYa0L2WeYF+W3Hh9+8c3Lu+s3brtBohRizvTOs+f9dq2riok/+fbHBKw4JeARxx5sLcuJMKXWhRQ6S80ohS1DjDCOkBLnTCnkaAtbyKLMMUGKejqnzMaW4rc4c0jjYGwFReP7jjkKgdhMc5uy61gyhACIPEiUAlJMLNF7iYJ8AARAxBAYBAOyrWK/R0StTXC+23chetSqKsvtzbZQkDYbClWS6IEcM46RtjvIxDECMzATAcaYSYDSWBpwARHJD+39VQL60b4Lvf/kdHa4KE8XE0R+cbPpnXtxdW8LTTHOy8ZLLBR/c3379ev7yaSRArWWTw/mwUcBrZ5WVor7rtv3HgF32za7aJtaCzlbNDFmpbX3vt/tgNn3LQ5IDJyiNBaFAIYcozKFS90+JZRCS10WxpbldD5fHR1LZkRgpqIqmrrBHA5mze988OSf/eHHdanXbb9vXQqBGH758mY7hBxTU9qUaHTeZT5czqdV+c7ZcfTRew9SuNHFnEAKPwwg4OTjp6vp7PxoIRn6fnAh3Lf9i4v71xe3IYbpk9Ojg4OmskbLk9ViWRecPKCOIdWVmTdmNSmutl2IWSmppZzVBRMDConiF2/ufvX2+tHB5OliWir+4Vev//KLN4uy0sivb9bH06o8Xk4nQgFdb7v1vtdSDu1+6EeBCLZQSiXKcRxVWUzmc6XkdDY9mNf/u3/6vXkp//IX3/z4y9ezSv8f/ov/7H/80ed/86sXt/seAIWUhvcnh7N/9O13vvX45H/56Rf/v//wo93bKyNlzml5dHx0sJpMml9cvs2ZF8crW1f/8X/6Nwq8Z2MAgX0fGBRqJa3b7WVZo7Jhf5/HHhmFkJwCxBGUGoeuMlrVjW+3ot3r6crWEynAVhUTjFKDQFvXSik3doACEQpTub7NTEDASuEwCCEfXi8ET9pAziDgIScBMWUmzlkKnf3AyiDKuq4F83BxlZsJLee6UMKncHnHpZKAKQcmgtFDCDiODAhMmAlSBpQktGAEIkxEKY37TXCjIPx7H++7g7/4zvP7dowhFEpt22Hd9+ON6/Zt3ZTdELSV3zo/eXy42o+/ZdKvY1zU5aSumKnQ8lvLk9vd8NWLSwqBcuRkFocHru+8c0bPZouFsXZ/fxf7HoDLuvGUkh8B0RortI5uEFJQjDymqHXKMcSQvG+aqmmqqipnk/JgNmHgp6erZ4ezD58cTqy63w23u54Z3W682/c3rXM+KcHXu37w0buAEiXgwbSpCjOrbF2awmqtUCrJhD74ujCl1Sh127vrXX8/+HI2fTSpnp2dWG1toQATg6AMbhgLaxTSrF4qoQgYBTJj50MCePd0Na1Mymi16oLf9OPnr25e3O0z8+vb9e2mfXa0utn1FPOV286K4mg+rSRaJR8dLf/7v/vFz3715eiiG8bYdhoVSZW8Y0QtwMymqAwI8fEHT//k299qNP7m9cW/+sEvJtPZh4+O/uL7H77Z7P8/f/WzAIJyfHq0eHa0evdkfr1uk1b/t3/ztz/56a9yzrquc066qVGIJ08f/fjHPxbGEvByuYIQ3OgVhsBSEjJmzjFQcDgMCFKXZTGdqbIK29vY7WTVoLZuc6NAYDWRtmyWK84p7O7FQ02SRKOtECoTDd1OOm+0oVTG4FEJrQyVTRhbosyMgIgPlYFA1LeirCRjDh5zRikpBZQKcobSABHt1lnbriuaqraFCftdqKrMhH3A2HHHQiqRHRARA4+Og4cMmALnLIABJYBilCgVxQAAOPo8dKDNuC2+8G5WKgmPDFBt1JPV0mp9IfdG4cvr+74fF9PZ65v1cjq1ShwsFpuuP5xPaq3rkH0M1/e7z15ctl0HDEdHy0dHq8xwu2m1VmnnN+4GpJgvV8cnJ33bWi2VFPvNjgCEEFKg0GqQwETG1NH5zKCVeCj3nNSlVlIgf/Dk4I8+fHa56VDgrCkKrfejv9kPnc+di52L2268WO9zRgUUKVXWVlZLhVVpS6OZaEzc7waBGIjv9l2IUWv5waOTnPvbXcuIbzf7/egBQDP//ruPHh9Oehe7cRxiNkI2pZ4aM29KIYEyhZSElEZrI2nVrOqivN33b7oBgYd++MvPX9ztun4Y9jGOzn3y5PRgPi+0fPXm4upmbZX8w9/9BDTmHLthLJR8/uj0h599EZ0rqjKFxCh0U9uilEqbQp6drn73/Ud/9Ok7X7y6+cHn10TwZ9/+8L3Tk3YYf/DTLz9/c73Z9+enh3/+6ceGae/TX/7oi//42ZdQmOuL63S/RaDc9lgV+93+9MN37+9uhtF751DIP/vj33v95oKNUswEKSIwcEaUEGJiMM1B6veRagSiFDm4CGBnh2Z+RMwHj987fv5uv73XysD8CKWOweUkAVAoNGXRbe98SklJFFIIVErLoszRpRjBtYQCEBEQkIEJpeRhYKkweMyRpUZmFJJSZOxRKg7e3V5xiub4HBlQgu/2lZhVpgi7PUpidsiJQwCp0TtOEUNEBhE8MzNKlBJMwUKInJkyMSGIPHYpQ57nn37zdjek3316OjV+0RS11h89Ofnw8cnf/fLlr1+96V3IkYgoJe+COZhOtrvu9egW04lF+oMPn//ptz/sxx6sUQyFEsh827qL6/ULLd68vlLM1xdvm6qcrw4OpjUA5RgQ0RYFUZJS1WWZQvQxqmnjnKecBfCssecnK63k4XL6ybPTx4fTujQx0/F8IqS43vSv18O2c9t+3LSDC/lu00mBq2k1qYvSyINpWRg1+HS57caQiCCm5GMcfAQEraVS6uXdlyHFMcWmMkeTyePVPMVY2Oq6Ha52fc70ztHc+XTrh4k1Q8l7TuMQMoCUMqRcSDlvyt7t7vz2Zze3P3572e2GYTdk53ImBH52evRkudpt2r/67MtffvFis20ntiSGlxcX/5s//32t5F07ZoKRMoU0DqFoGqkiAtvCmsJ88v7jT94/W04Kn+jf/uSLm/v9tKplqTtKP/ji61++eJWYfuf9d5+fn79zunrvZP5//3c/utp2v/r8BabQ920YRup6EAqlECSef/D+O+89/exnv9xeXTdN84/+6Z8rSP/Tf/9vfdsrpoQRQEqIEQUBYN7e+ZjQNHksOXlIUUhkIqZsFgdEREr7vtfaNgcn0uix3aeud+1GiEVd1ZClsbXbr3MSpqhlUSGAMFLq0dgQKWHyJIRAiVonPwoQnDPkCEycMyCC1BwjUIIwki2BM4TBXew7hNnhs/7uTsSYilqzLOvGh4GD575nJUQicI5SQj+CUBADEgBGRgAiESMrjTGw1CyFSIAU8tj2d/hWlsx4Oq8XIx3UdinsMITHB9OUD8ecmFBJ2dR2MW2Op1X99OynX79umkoSffbiTdcNh/NJiHS/b1OIZ0eL1XweOX/r/KiSsGt9P/pMqdtvjxc1ZZpO66aumKisitOD5f39Jib2KbrwABngwujnj0/q0kzr4sMnZ8/PDqXAw2mFKI0Uo49DSHf7/nLdji71zsdM+2GwSjWV9Ztu24/zyjw+WmSm3Ricj0L8tjpACsFCtIP3aUQhMuX96H5zedMHJwCNEJOqCSFwIpcipTiZ1JU2EtARb7tuWpffenz8/GhWGHs3ullX9C791ddvLtr9MIxlhkqrkJU2alXX4364fnF5fLz86tXbu/ttqaW2alnX/+CT9x8vpv/vf/+jajJ5c3GbQ/jD3/t4GMcwuqPVfNbYw9V8NqlczFd327/50S/3LvYu5xCbedUspinRZt89OT/57rPzp4er1bzxMf3g168+e3u1vbxx9/ex733OGXj16LzQdhiGxWLx8Qfv/PInP3vz5TeffPzhR59+cn19+//95a+HYaRxQHj60QP9D1MEAEABxFg2aCpgeFjdC1sRIdpSl41tpuX8EBGLopivltPlpG+73e19e/W2qOrp4UkcOzcO7d0tARXTuQAMYyekyMG53b33Q+p3AESmFErn4CE6YSoOYxbAlIEItQZUwAQIKA1TfngSgWr54e8By+H6rT04ULaJaRz290gh+yEBs0AIHoLn4IEIpMb4wHvLrI0gktKwqThH1hZSZADUVghTzOb26HwxmS8mVWXlk6PFUW2OGj2tDSJ1Y3h7swbgaVUupvWXL9+83g7O+Wlp66q433ft4Lu2x0SyLABoUVVXm40Q+PTspBSyMLqpC+fi+cmBc27fDYvpVCthtMoxhJxZyKF3LkYGwZSfnh5aJSZ1+enz88bqWV0g8L53UsiqULsxfn61/fXru6+u7p3PnHLn/Ga3t1ofzieZSCGPPqaUrLUsqCkqAAbkqrCFUZFoO/reRYXYu2E/ut4NbYht8N45kVkhNoW1hfYhCcZCq8KaybTRpTVaISQ0uOmH69a1+4EiCSLMSSsDmSttqqpkBklcSF7MJkMIXdeVSiPl5XzyJ9/9ZFGZm/XuZjNcbXa7zimhnpzODldTLZS12sX45evLF29vXr+5SimlnBPlStlF09RTW9a1VepbT06mpYkpfv87H99t+7//7Msf/eqLV6/euG4IfSe11VW1enSeu9btW1vPnj47v3r16uLl29//g++uTo7/5j/8jR89St3eXriuR3z0LWQGrTETMAEgA4G0YCwwSmWYURS1QMUAoprMz56ZogkxCSXmq6UtS6tFihly9mOfY0ohKKWGoQu+N/XUCHRDH/YbqeTYbqPrKXqizIhobB4HcK0oJ4QyD1tgJmTBhLainFlpRGBAZEBAJBbN/PC9T91ml12rlsfM6Hb3PO5yoTlFSp4oQ3DkHKaAKFkaJAbKIACZ0RRQz8l1XFacM4YAtkAGANTTg+Lg/GB1ZLSqSnu8nDw7nL6zKiTkSWW1RK1kZc31evvN5d16cLfrnQQ8OViWRgGAEOBD0MZ6HykHjZAYjJQHy8XBoplNmkqKBzvArhsLY5RSu33vUkyZx9EBskLU2iqJtdWlNWeHcy0FMOacQqa7diiVntX2xX37V795++Xr+zEE5wJlHp3r9j0ILAqjleCcR+djCDnlojSFLSZ1OZlUWqtJZV1KV+v9bxENnHvndkO3d4N3ITNnIoqkpNAIOYExhqI3UmbKHjgJTEpm5yhnRIEgQYqyMJq4KIqyKK0x87IgIIGgpNi2Q/R+0ZhFXWuATz549/XddtP289LMm3rbu7KsmrpMIax3rfNh2/YvL64u316WRY2SrNVKKqZUT+uT5XI2KQstBYjrdiuN/vjJ49LYf/ejz756+WYcBhoHRgQQTVmdPXp8c/F6fXFVn5xWZVkqQ2H49Nsf399vf/STn43DuJjPtze3Y7sWUkpRzQABUAhmYAYmIEImyISUmDIQAwqhVQ4j5JRDePgAhGzXd2H03kU3DEqqatqMo++7lhCkKXzX5RAFkSp0f39DOTMw5iRAoC2ZMhMBMsRIzNJYpsyUBRHkDAyMkikBAgBgTg9dY0SJnCsXh8lHzlEVTTVbpJhEIgRmNyIzpISUIKUHCBkAIAqIXiAwMTNxcBA8Sg1+AGAAgUSZEjkXfAIULsSuHVA90LBzSBkBJKq73f5ivb+42633QwYFgG0/gpTI4DOhkjFGQAgxPTs7/p13H58frh6fHtZGI1BZlPf7dvBxcHFWFUMInY8pJmDQRlWlXc6a0hohxNF8MmnK+3bsQtr27nbXr3t/244PuZmLXf+TL9/c3Lcp0TB6HyNkygyjC+0wbLftZr0ehjEEP3St83EYBudHRAEoQIicKTOP3hOxj5FykowKEBGmRWFRNoWZT5qYKOdMKfkYCNB51273fTvwGCAmRYwhoZTTulIAiCgRZ3VtlQAhYsq79TYTWauPF9NpU0/rcrU62Ptw3/YfPjufFtYa8+T06HTRaAGZ6KHCPhJHH1fTej6t5otJoeSkKY8PVlYprZV34ddfv3l7t310fHQ8X3z99vbHn7/suoFiBGICOFgsTg6Pyqq4ef1md3t/+q0P67psymo2aearg8v1/rNffBa6fWzbdrPJroccISXFAMgAjICMgEyEDBADSgKUwAyCKcqYPDBh9qKuXbcR414IKZTuh86bIqc0lIUp7GSxTG5MY784Pq5n83G/R2WZQGkbgyMmZhBFLR+WmmFEQBKSc0rdDnIAqQAIhAJEAcA5MTDCA0WFABkAxu2dtpVZng1Xr2wzK5rlbPkdt9vu7y+TNLHfBQjACA8BteBYWQYEFOw9W+AURPDECRgEA4wDWWYU4HKKKQC0fqiWh6zN2ysR/HC+mB0uypjy5aYjpsEFl5KxFgH7rr/Z76+3+0LgcrVo2xYEP5QKv7q6HXonBFzv+6Zpdm1b1zUCLcriYNpMqmLdDoiCE4HAtnVCokT55Zurytox0FeXt3VZaGOuNzvv47RpXAgx5dqa0QfIQCkPfkREFzwy73e7freJIQAQeaeMlQ9eGchKCoHcdd1639minE7raWVnk7rvXWXrnMIwOBAgEI3W2TBTJoCqKiVzPwxWSYEglLGrgomDcyFnCUJapa1NPpTWziZ1YY1ROubU9XtrlK2b+aRoKkNZJMDZbL6sCyHFB+erQlsJvKjLorAp5+stDyEkxyHH2qqnZwfMcHIwZaKvL277th8Gt9/tmMlW5ePTo5PD1bod/vrHv7GFWTRVxzy2cH50NG2q9f06RX9/t/YxHL3zrCnMk0dnL168fvH6jR+DH/r+5i09RKtt4fcDAHLKCKfPkTKoQkgBlIEIKGNMIAVLDSAYkZUVCA/NhKpeQlFTisggTJn7nZosTDUBkCjl9OioX6/d7r6czKQpkne6mUqtJBNB7u+v0jjY5TFKDEM3rG84eYgu+xEREZCiJ6UwJZACtYWcgYmlRkQgZsqgtNQWpJ2dvaOqSX97MX30jp7MyqJIw7B9+4pc69p1cl1yPQfPlAAFSCNSJAQBDMqgVBwco2BbARMysDHAgFKLopLSmHpRTFfVtCm1nE4nH773qDFCKUCK/Tg+oLtizFKw1RqF7MdhCFGi9MGtlnPO1LaD0bKs7XbfNU2VMxslZ2VxNGt+9/0npdX/5iefZ+JHi9ls2nTDeLZstoO/WLeU8sXtdnDheDXvnR9DHsZxMZsoY15fXRupMfPgQmTwIebo3DAmH/p267sWKEttTGGBGaQ+PTueNxUIobUMiV++ujRlbaqiKmw1mygQRKyVkBIRhfMeKO/2O6nNzWbT7wZB5KPXxjBCplQ308Vk7oN7uKYTkzEmM6AS8+lsHDvOVFelYFBKnp8e+RTXXVdK1Ydwupw8Xi1nVXEwrWKMZ6vFvC4GH/ZjDCl3Lgw+OB+8DyFHn3jbDi8vrvbtwMyFksYqiUJp2fbD9e0OpTxaLbVRRmBTl0pB1/Yv39wOg0/RK6VzzMdHy7Pzs89+/eXLL36TnasWK3Zjv7nX9QQExN2OMoecmuUS8fgdZAIpQRlkBsrMDCkCM0qFQnLOrC0yIzOgYKmFrVBpoAxS09gKpfXixNRzYUqp0Hd7ioFikMaitrpsZFEoKQFQKkzjwChUWQLw+uUXOQ7sXPY9Jo+mJAKODoAgRdQWtAFilAqkeOjcAyaUSuhCTZaTs6dS6uycnC6FFE1VxmHobq8Qwe1u07CLQ5uHFnJiqR9mXmYQAlFbQEEpPwQYgDIAgjIIDFILrZWpVL3Qk8V0NgOAxWpW1+VqXn9wvJjVuh9Ga/X1rlPMldU7FwY3aq270W937WLS3O3auinPVtODSQNMUuvtbtQSPn3n7GQxTUQ//M3Llzf3B4tp9tFndi5OS52ArtatEir4mJn7wVHOUqgx+EQZGULKKUTvQ0wZgTgTUIoxI/DQ7jORQLBlZbWcLxfvPD3/nQ+eTyrrfHjx9vqrN7dXN+u+G3JOBNgs5pPJFKScTxujZdeP56cHs9IQZyL45vXb12+vAKXzMQcfYiLOVVVVk4YRCmMp5hijlEIqhVIB59Lapi7m03o+mSGS814VxiodfBwpSyGOptVf/M77758dbdoOAToXb9Y7bQ0ChkxjiPe7bt/5+/3+4na970cXQvaBKCMCCNkOfRrHom4mk2ZSaFOWs1mjAJHF26vbN1fXUikD2LdtTkkqe3Z++s1XX169fq1iRGWmpyfDdptzLqo6jkPIWSp1dn5WVAXi8VNkYkDUhQCBQA+zOOeMgKA1ZGYEITWEERFR28yIxnLwIJWgCEJhvURl7PzA726iG5Q2QEno0syPyY92spBVDYTaqOhH1EYYK5Xsrl767Q0x0LCDMILUoArOAShBjMAZTAVK84NFAh5KRgIIAcKgLsrjR6ZsbNkQPqCWVD2bhd3WD53Ucv3mRdjeguuyHzhnVAZSYIEsUEgNUgMKRuScQAgkBiFAqodltDClMFbYppgtbTUR1hazKeR0uJx98PTog0eHUyMkwqIpQ0wvr9dHB7PDaRMzhRhH50EILTgDXq7b6/ttynB+uHjvbOkTKYT7zf43V7c+U4oEAELgtCjn0zoGnzLt9n1dV70LBECZhn4YfEgxAbBzIWcCELv9rtt3KFAIyUwpBDcOmKlo6ul8ZrX6k+999M//9HttP7TDeLNpf/iLL7bt6Hy6vr2LznsffQpSF+V0SkSlMW3XSa2OTw7OTlaPTg+B0q51+961XRtijCH2XY8Jd7tdFOJwtVQoJosZSVRSPkAWAEFqtVnv921POYlCFYWulTo5PFxNm6Np9emTk3eOFsT08mZDmYSQiBQyu5BDyreb7nbf32/29/u9I06jZyYAGMeRBeeUgFFIaaw9mM/LwlqtQGLXj2H07eC3bddud9v7eyGlsUVKeRj68X4tpCyaqqzrnHNwPqeMAg6OjxZ1WdZFzJwFoDh6hkDMAEoLZZHyw2qMmYEIlAYGAAYhBTOmkFEAAqKAFBkFCIHKgKlQF4iQ+y1RQqUQUVVz1awYhNBGl7UsyqKZtOs7zlkWhdbS7e/GuwshFbieomMQKJC9B6WYCTODtQwIQmCMoBRIBUSYEwsFzFhOpLRCq+bp+9mnyWJZThd1WRQap7W5urq9fvPi7uvPeWwxx+wd5ASUSSnAh9W1AiFBSEjxoStJaAuAQBmkYESpC7QTKaUqm3J1bMoSUCirDg4Xf/Ltdz86XRYSUiYrxcFiMsb8i9e3j5fTyuDL2/Z0XoXg1r3rxnFeVwLxy8u7IVMhsRT46zfXm64XUsfEk7J4MGFqhEKqyGSU0FojipRSTklKpZX23iFklHK9bm/vNs75nEIM0Q8jcQLGZjpdLOeref1nf/i7//h7H43O36x3u9Hv+vHNzebrV1f7XXd1d5cTDV0HgCFEIpJlpa2tmkZI5cdhPpuCgGePjxfT5sXrq0BUVdVuuy9KezBbjH5MIe+3beu6oi4nk4lkHlMGFF3XS2ahlJSKUmjm9enB4dG8PlpNTpbLVWlnhXl2sri827y8WR/Mp0JI56OPSQgcfNq2/a73IaZEKVH2LvgQUobI3A5dIrCmpByRWUjFRACwnE1TTnfr7b4d7+7WbhxsWRZ1kUKikPe7LQIXZRVCEEw5R2X1fLqYNsX52RGzuLm7V0XhQ0R5/A4yMRELgVKjtpgTU4KciRkeBpfMLBCEFDlRTkAZH+YJYGACZYWtwZQ07jgFZAZE0FaUE2Eb0IVQSprSLI+A4tjuadwRZ0gZISXXCiGVrnK/J04gpMgZMpHWKBQ8kEmkhEyCMhQ1CkEpIdFv7ddFRSHJqi5Onob9bnr+aHnyaDKbHk2rxaz2wb1+/fY3P/q73etvRPSUEwXPwMAAWj1krAAFMABlVhIZQBtk5pxBCgHIyoiiARAgZL08MtWEKIG2J4/OnpwfWK0fHa/eP10G717f7X72zVVl7TuH84tdOyvN04P62cnMhxhj1hJf3e3f3O0YYbvZGq0QUaCMwE1Z5ZSkFNFHAiZiANrt9lJrq7QEQMTBx5xpGIZutw8+tN0++8BElDMIUU/q9997t5k0n7xz/gefvPPs9HDf9W/uNlLI3qXB+be366u7/dur233bd23XDoPWuu+H7n5LgKYutSnmy7mydhiclqKoi6fnh+vtrnfRDYML3qqCOXsKRVEBszYm+gCJgCggPgTeM9CkqmbNZDatbFVOqvL9RwfH87pUqlTi+emB8+HXry9R6lLrm83+y4ubp6eHPqTeRSlEzFkCIDIiEnHIMUS+b4f77X4YXNv2QkmQotC60haQhFIpxhBT1w2UgrbFbDatSxtCHPoxhOBCzIkwx/msKYyRCjNjYdTo/G7bee+60d1e3aA8fe+3xyoACCGLihkhR86JiOABFCY1PAwJlDn6h2MSH8BBlFkqMAUoA65/qGFDRBYSbSGUBSlFNVOTlSxqt7mgOLLvGAEJGDLnJFDIYorK5nb98EOEmEBrlhIyQwwsBQqBDw8jDaAAJSEmRkApESVLXcxWiDL0bZbSrI4XR+dnZ8dHi0km3rfti1/8fH/5iuKQhj75EZiQCFCwAAAhlAEAygkBUCKjBkSAB3mMpS5QGRZSCKFNpZopAKC2upkV2tRNJa1aLSfLpn59fT+OY1UWk0mTQ+zG4WjWfOejd+aVrJTIxEKAEsKHwKj2o9dKpBzHwPt9nygzipzT0Pdaa2P1tCm9y/tdd3F1HRhTCG4c/Tg+nPsCBTMzY6J8dnryv/3nf/7B09P3TlYS+b7t77vxbrcvjfUh77rhar1/8foiMRql7zYbl7I1lnIehnG3b4EJUChjFvNJUZTe+6qy7z45MUZnosH5bddvd+163wkls0/3m71QyqAQiLP5rKxtURgDopw1k7purKlLbYtiZsyzw9nRtGwKrYVwMbVjKKty2tS/eXHxr37wS5/5aDHRGpEhZS4KK5kKqxlQCYw5X95t73btb6EYKRpTEDMCoBQIaJSQwD5z2w2lNavZbDatU/T9EC7uN0M/Oh+lUYLRj6MECM7FEExVxhiG9ab3YXFyaK1RKDRAAmbgDMzkHVYTQEQhRQycEwNCzqg0AKDSSMSUQRnIAQAZJRNhDJAi5IycWWhmAGSmDJAhZYgeKXPoOQUetr8VOmNEgRgTCxGHTtdSNou8u0cGtpZjhBDRmAeaJNNvBzFAgUJBAqE0BS9QABIKyN5LY2w9SW6IVy9u1+vN1eXF8ZFEMZtN3/3u914quX71VblokhuD68kNABlyRgTKSSiD2gJloMQUUGlQClAgM6RAOaEyoHQY94wAynC3j91ukKo1mlm8Aihra4syjX6NoKSeLubNpPzm66u3l5uDw8nTs4Ozef3keD6rSxRyvWnXbad16T2NIZSFMVYPPqQkZ2Uxq4snpwcXt5u72DZ1cbBa7gfXE8miOFjMOFEXUz+MHJMUYAv7refnf/EHHxcKXQi7we/6EZmbskTETOxiFAKXq6VWMoYorYqJXAg5BFvo5cmqKsvoBoGiqatpUy7mjdVSCBFTHsdxOpkv50393qNpoQefL+93WxeRwHtXWDspDCBorZbTurLaFhUCl0bM6npelWeLZl7qlHIm2I2+LMzQOyZ8s90x4svL210//t63nlRGxExCytKYxqhJWTKylZoI7vYtMy+mNUMuykpmtkZJZbwPiFxaS5QTrAptC6NyilzUAuURZVc3RDQGnwgqa3KKUkKg0LshOi8K8+jo8PjsaL3donnv+xwGThFSYABgktUETUl+RGYae+YMUgEgmgKFgpzAjywFB/dbDTEnfghXP8zoACwVAKAtUUpGIYpGTFZKSRYy3L8m14migpQhRQaClFhblkYXNTLnfsdCgBQPm2lGgSmCEASEIFEbSBmLEqVmZnaDrBoUKsVYLJaqbCgmt74kP1A5U7Oj1aNn2hpb2/lkEroxBe+7PQq4+fo37ZuvhRYPIBDBiFqj1sCcc0JABkSlH7YRghmLmgGYCQFUUZNQkKMSEoQQgCxFzrGoJpPlihhySELh7ODAaBtiKowpCwnIIMV8Wnzn+VMhQSuhlCyUmlQFCqUE5pSYaVrZR0fzu23rCb0PKefexW9eXxwuZx89PWWmby7WY0z7trtbd3/2Bx+fLScH84lVsu3HbvRDiFqpFEMi8D5f7fbr/TD6QIB+9CFFF1I7+nF0MUbvXFlXKaW6Ko2WTV0t5hNt1Hqz3w0OUKYQZrN6tZhqgYfzBhmPF1OBhAJbF9a7vlRiUpiiKnPKtTXWWCBa1KVRsqmMlYKIQiSJsBnD6P3F/T5E6kL64WcvfvzFq/OToyeny++9ezYzcudiVdrj+fTifvfek7OvL67f3u02bd8NvjSyLCQyTutSSbnt3OCjlEJpVSolpRBCWCWtlIjACCFmBmQmIeWu63oXru+2r99eaSWdcxqF1koI0dSVTxHtu3/EcQAB5D3k+JBKEWUjdEHBATMNe84JlAFAUVSoDBJBTtn1kD08QMU488M8DQzM8DCZKPVb2Jgp2NZSF83BMVHu3nwFoWWlkQWHkYGAGKRGUwhdCGlytxVGEgryETmhkEAED5BiXSIz54Rlo2yVx4GDw7oGXVC3l1WjFofgXGw3adhj1Uzf+SgmZqkU5bqZlU11+/UXPO5mp4/8bjtsbnzfQY5MGXMCgSyNspYQKUQUQtqCEyEyowSpUGtIiaMDIaSthNQP2zbIQTCD1sJYawtpCwaUSs/mc1UU00lTGFnVRkglGKcTc360PJhUs6bQUuZM06qqCnW36xmgMGpR20IrrfXEGqMlSuyHsJg1m32/64aX19s+pt95erSYNVLgthskil03uJgBMKQcUiKirh/2Y1rv+3ZwIOTgRk5cFibnkAgzUUxUWKMkjs4bKVfLyWpWjyHf7juhdWPV6WJ2PGsW07IwkhhcjEqqGBMS+xzb3gWieVXMmypE6kPc+nSxbmdG/tPvvKelQMR29CFEYs6An7+9PVtMv7m63fbudt3/3WdfX1zeKSvffe/pJ+eL7zx/hKj70f3Nb15+/vWbx6vZ3a5ryuLs5GjWVIUWIQWXcmltSrnth9KWk7oAhnlT+5iM1ZVWAtBqkTKFRFJASGkIeb3ddYNv9/1k1iilv37xKhO5EIFSU1YZSEE9Fx55HFAbEog5AQAFL4SSRcUhYDlNYwspsLbkR8kApkSpJGMaEghEAZAAER62tgwAxKAQU2Il2bsHLwPZlMPcTpdqekCDgjACAmnDwQEApEgpgE1qeigmq9zdSyOxqtk7SB6VgpxASEACIYEEx5jRmWYSO+ChQ5tVUXFOVgJPpxlA2RKGtnv1hZ4ekHOkxHj9qqgntpkOY7d+8+rg2Xv16sR12/sXXyqRKUbOabpc5ZycG0EKgRIZpNbMREpzSuCcMJaLilPiFHNKQmlhLMoCY+RM7L0bR5BalYWpJpu7e1PY0Pco8eTscDZpqqYyWu87P4xe3eOz06NSCeZ8vfU//fpNZjhfTZsnx+cHdSGlFFIr1Y6ussWXr+7e3N6dHR38z798kQHODxe/fvtCSnnYFNvRFcrcbPe7YTyaTQfnXMi7zm3aYfQppDw43w8eBD8/O3jv/LQprTKSiLSSldVlYSUKrWVMKaUkJZdFUVVldE4pnZmDC1Vd33fO+ZEZeh/2/RBi1MZ+/vrGanmyWqCUX99spvXkd56fx5zv9m0g+PJ6Cyl+cLL45c3+q6t7jfhoNZ9Yd3297ocuxuH66o7JQ3j0159/bZUZY9x0flyvv/j8C8gkBB4cHD55dHK8nL37+GRaQOej1frg+HBS2QzIKbejyyhmSuaUE2LrXEpZa9OP7iFo1pQlApTWupAub+9HF8rKLgoTnd/33aSu0X76j1VZovcCwe3XlNzDZMwopNLCVpwzBUdjxymAsQ/WD1nPUCoaO3bdA60AUgREgP/kvkEEIQGYpUBUqA0IAc1BsThyd28Qsq5mnHMe2xwde0cpgpaYspBaLU6ZiCmq2Sq2O/AjJ48Cf1uwowwImUOQdYOA0pap71AJYEBtCIVq5ikEZJJCCa1zitkNFJ3ImYiV1qqZCalU1ZSzxfmzxy9+/ovtN7+yTSVNKTmP+11MAXIU2oIuUGsJggBRGxp6jlE2M6FtzlFpxcwUo7SFkJpSQE6AQggNkClz0Ux1VaISQjzoPlTNmuODldWGEGxp3jk9/NajYy2xHcZAsOvHTx4d/eEHjxVizCSkWO/HMaXXd91f/uTLd8+Wf/Wrb372qxfHq+bkcHl5e3d6uPz2s8e/evP2YDqZ1PV+32sjBIhx9CHmbgyj81opF2JI+dHJ8njRzJqyMvpgUmotm9IeL6YhJWYeQhhjXtQVAAVKPhHnrKSIzNt+uN4Nv355ebHZu0Rj3xNwZjpczCDxyWLyJ5++/2Q534/++cnqdFb//NVVpvzV7fbrm92ff/R0Xul/+bMXbzf7guid+aQbh8ub9b//4c9G7/16FxHMYq6MltMJGykHL3yMg8v9IASBrbXUhVHHp4cfPjn56N0n07I4Xk0/e3nlQ/ronUf/z7/8yX4Yv/v+k6aw3eiVUlbr6033YCxH5BxTppQT9cM4utENY1OV/TgOwzBfzD5+foby5ENVTWQzN0WTxtavL0EhhyCkZkQhpWrmD5fjuN9wdKAkIKI0qpxIZbN3adwBZQBgig/rKiICRDQWU2IpABFtBZmhmqiqSd0GohPaSlsLbYBSjiGNPfkepWJiVc/VZJlSQgRQGv1IKVAOwCSN5ZRQKEbB3omyUtoCIufIQiY3YCacTE1Z5+DCfmtny2p5Omw3YdiR64VSUhuOCaVslgdZlMVkcnB+tv76q5xcs1yG7d32/iYFD5RyjMygyhqVZpS6KFGa7AZT1qqcpOhTdKA0AkqUOUZAlgJzToAohEg+UM7aGNvUUhstBDEXdVmUdjJtJtOp0PrDZyefPj1th7GyZlIVZ6v5uydLZupGDygv79ubTffq5uZ//NGXY+Jxt7u6uVFSYV0CMDmnS6tTnE2mt5ttWRTHR8elVVKIwuhxcPfbVilVKEWImfmd86OTw/miKZtCzypztpwIhM7FISYtYNGU972/2OytlgKw82OI+c2u/ezVxXbfK6k5xkldMYKPbjZpZnVlAKqqPj85xEzfeXx0PJ8cTKpfvrn5zcXNe0fzDFhbUxr1ty8uP7u474jfvr3hflhNyh/+/S9c18qq9CGQC6ksqC6g1EKAlAKykGMUw8j7vdR6vjqKzsVxtIU9OFieHcwePzrZjv53nj/e7vt/+be/yomaqnz+6LjQShtzeXVLKKdVLQVsu8GNQ2HNsim15Ex5GMM49NP55N3z49XE1qWRcvYIw0iUZTM3syWioBCZCYClKSi4HEZQVkiFpgQhOUXIBJw5B0AptFHlREj1YLREIX+LwQEEqUGq38Z8hRRSMSdgwhyAEz143cLIKJhR11PIBH4EJYUush8h+4cySVnWqIwyBTMLAETFKLQpGdFOV8iorM4Zc4qyLCHn7IY0dtRukbPrthD85PR5szopFgdhu0nOCa2QUggBM6V+iChWT95ZHZ0+fXRWTKa3t9c5pWKyEMqg0pI5pyAAOGXKUZUVSqmKolmsUJk4DEgkHlR9JYWQOUdOEYillCxRK0Upcc4CgYGUkdYWSsqiLKy13//g6adPj1dNdbacPTlanM6blNJuCNve//TF7V/94ptXN/d//9Wbi6ubsR9ubm6BcnNy8OEnz5eLWtdVu75367UbXYoUnCurOhC+ubxu267tht39JsU8xDj6yABtN1xv2250Meey0Ifzpnehc2nWlKtpvW7Hi20rhQiJfvX29qvr9Y+//ObF67vk4kEzmdZlVWgrJQKsJtXxbJpDtoX69tMzxeLpyeqD06VR4ovr7Vc3G6NwXhUpZUDx1e3u715fXff9vh+7bhj7oVtvr69ujp49Y2As7MCJnGOF2cjkHO+HHFyUyGWRtI67fQouATvv+nZ/f7+5XG9/+sWL6/W6LKs319uv3l6lmKZNicwv31xBzov5nImkwl03XN/e3t3eocDVfLqYTwqrrdbPnz1aNWVh9W4MX729ldUnf05+ZBCTozMQCIimmQmUCA/KDnAMnAILJZRCKYUuAAUlhwjMDMxSSlVO0BScCXJ6aBhhZkBApYEBgUEpAIDoQAiBkkMERCEUE2MYAZmTV0XNUkuhQBnQFQ+trCqKgcYOdaGrGh6MSUKgNvjgzzBaV9Mcgp4uiFEAMyILlFqjEJyzlCL3XfIj2hqRq4MTU06YgDkBM2gdu23o9iE4ElJXdc5czZbzo0erw9MQo7IWQICU1haQk5QaUszeCSERhUBUxkgpUvIPKnDOCaVURSmEAMqIQlsjlUAljdZSyaIohZQnh4tP3ntytpr9s+9/vKxtXdhCSxRi245v1t3Fev/529u//PmXX17eds5fb3eTsjo/O7lZb0Rhz56e/pM/+86zx0frti8K/eT5I2n0zvtx8GPw4zAEH4dh6MfRuzHFnBJxzjmkFHMK2fmYMz06WiopbtshJ6q06kZ/te+dC0xi0473++04BgEwr+y0LAlhjMGnRAKfHR2eLpv5rDpYNH/66bufnB/N6+KDk4UP6aevb37w1atVYYZIkflqt7/u3a9utl/u9o55iIERPnn+WKC4uLoxwN7H7n4nfAQicBEyQaGTRB49bfc89GQ0VnXcbiLFLJCNZshclsKq3TD+6u3F/WafchRMp4cHt3d3r15fbfruyeNT52OISTD1/bC5vx+6DgWOPrgYGaDvRxdj23cp0X6/w+rb/1jPjqnfq7IgRr/bFMsF+yCAUUBot26/RopCF2gbooTBgS4gJ+o3oCQIJYRiEGa2krpw65s8bAAZGIASIrKuIXlABlNizkBZ1lN66EkWEpk4R0aBKYOUWE4FShJoJgshTeg2FHzut9IoMTlgoUWO/0mEKThTCqlYHBZ1ZadzCmHz6gvKkWJkyswZpYBMTMwp2NUx1vN4f7d49FiYKjuXxl5WE6PU9u0LSCMpI5tZOZnYopjNDmbT6YsvfhnabVnXPkaJ+KB0EQiBgoERpdAqjk4pFSkDoBQixiClohiY2RSlKiwzp5gOjg6VEmVpi9I0ZfEv/vk/+PDpiUJcTMrPXl0Lbda77tXNdt+Og/dtTF9+/frVmyuWUmq9ub41hbFKeh/FfHb+8Tvf+/azZ8uGpXGRgfL6fv/DH/3y8sXV+tVrGofm6DG5MUevisKYgjMDZSGVNMYYDYjz5exPv/fh06M5AzRlIQVv+hGZtVaDi/vR7buuDcnFvOvG0krMaTmbPj5anq/my7qImFmJ/RgrKX732dl6P7y83f764uZXt/cd5VqZkeH95XQM8QdvrmRpuhiqSaMgF1r/8dmT8Xr93/67HwxXV1U1IYlt18tJlQo9hjF1e/IOMkFidIFzxqoSDChRTCeAkNsWfABmIVUiVtoI1NOyOZ4vppOGUKQYUIjgI2RywzB0u2G7ZqZ6Np/MJk+fnD87P5MSUQk3tJdvLy+v1irevqGxl5NV8GFycqbqaRw7YWzYr4UUsigKeeQ3t0CJKAhlEYDcqKoJyZPY34vfyj4prC/VZKVnK2ELGvc5eWLEnAV5MJaHDqmDomaA7EdZNRSDQAHIkFFIxSg4Rgg+5sBCCkRhK1M0ajLvlaHNdeJ7rGfF/Ch7n1yfEwGyNDoOe3d3aWez2dk7SpWJ2SyXOYQcRvJj5iwlsrT+7tICV0enu6ur2aOniyfPjFJWayllMZ3evvwKwpDazTC0vrDd5n5dNcuDw8EYStEAGmOKup4tZpnZOZ9ijG5U2sSqcN0AEqXSlJOQVkidBBCBrYrZcokCf+fdJ4H45GQ1r8zZ8fy9R8fvHi9erbvb/dDsur2LyaW//vXXX769BcKbu9vL67uYqCwtcB73QzmduP1uGMdiuRQS2xh+tdltMC+bcu9iqdRlHGYfv1NOp93ufkw5ulEJ1EWZYvRpACIKAaVRVpO1pqzc4F69vXeOQvD3u66wdjEtz49mc20EspE4ravFTGXOs7I4WVSZyGrrEXsfPt/vBx8ok1Hq2az6+Vdv/rsff6YKfR/T2+QnZdXm+PLm+r6bXt9u9jmW0yYh9zlG5yZV9UYUcdtrq2VdpxyRRKTQ3e8yECAyMkTCECElFpJ9gPs+KYVCwNALBGAmAJFyCpGFSMpIXdjJYrVaHi6mX33x9e31VfDD6dPn6/ttGPqcXM6ec0YU99fXY9/nmFcHCyUxx1Fbi8hKKJW6dfYDmHoQOH/yvjk4ZKb7VzTevNJVJU1VHjwK7ZrdKKYlGCt1QcERkZoesh84BZASUo6bS7BNMT/CognDjpOj4MiPCE40c46e3YDagNQUvNCaiQAESMUpMhNIgVpxdBhdokRD98Ce1YtDMf3Er6+zG93dZXF0rqeLNPaQs9/egNHCmuH+JqfUnD1P4xAoQ0q6mnA14+TZDShFlIW7u+GYm4PHSOzaXa7L++vdpKmPnzxaHB1cfvX19uYSsqNxzH1PzlOMi4MjpeXyYKEkNlVBmYIfxaQqyqIfxpRyjLGtB2YUUoTgrK1QCOfGwprT4+Xvf/RuXel/8sff+erN9aSujhZNaY1E+PuX1//+N6+nTTm1loiu11tgKhT+4ovXRHTw6PDJh88uh/HtL74RmUAIBi7mSzmdO8zudr2DtE2Hp7DQVq3TEBvx8vL+zfqVaHRck80pZ4jBS6kSETxc5XURQkghEEoh1Ge//ubr8kpI3Q9eSnF2tqhqiwIrjZOiJKbKyqIsM9CL+30XU5ISjB7HrqpKhXw+qb59eub9+P/4yx+WViarf/32BgvDRbrdrNvRfX7fxpCN0rvbDTAJgbPp5B89et5e3W/GwAQxxa7dkpBhaCl55oeKGgZtmBGGDogFAwQPHhkRlSaJAMjMxICUgZHdyMr5enp1cRG67Rdf/BpTkMBj3w/txnUbAcjE04PDOLQcY45p1+0F0q9/+WtjdVXay7e3aJ//PqXAfhQC0NZiejA7e3pw8pilvHv1Teg2CJjcIGyZuj31Oz1b5hgoUQqjUhqYKUWQgnOm5JlZKKNsJbR98NgF10PoIWdQBpSG5ClnWdVSF/lhRo8RcgLOD8tXFhoos++BGZVmYkBZHj9FU6Zhy8GjKedP39dlAylsrq9Sd48IKQbud3p5bOqlnM7HF5+H7ZWoGlVUiMJUMwICzpSTNqUqat/uhBTT00chZMpxeXQgUfiuTW7c7dZCiMPjQ6W0FLjvh2Y61UbXhZlPmtLqw+UU6MEy/nAkoXchhjCb1NLoFNJyWp2ert57fPz4YGqU2vejkkoBkoCfvrq43vQ33kWBmfG+3Y8xbXf73z092a3dv/67H3/vT763erx6dXvzer3pfc57jzf7uN6lmERVU21GN8izg/n5YTG3zbRS1no3DsFfvLiIn7/E12uxdwIecvCkbK2KiomYSCBKbYSxVpscPDHIotC6UFotlvUf/O77x8vmYFKmSDf7NgR6e3N/t9+9+8FTaZQLYTKtZ0Yz8VFZPZo1X92uf/LqjeS8B/m3L960Xd+cHmTkvh1UBpkgUc67FlIiAFuY/9N/9b/mmP8v/6//jkEw5H6zHm6vSDDnTJwhJkFMzAQs/tO3KhjQh99S2xEZQAgkQAAQAMAMxCCkLSdKG1tUQ7tJKZSzZXI+dBuBiMS2apS1IYTF2ePj48PptHn11TcosGomruvmqynW3/7P07ClGJBypixQkLJ6fnj87kfVbJFHR5T2dzfj+kqVNXv/AO6SAinnPOw4OraNtjURJTdwcoISSIXaMAEKwUKgVBIhx6h0AVLEYU+uQxSqnoPRlLI2KiUSiHFsIWXUmoB/635DQSECsFqdotTseqEKPZkX82WzOsgp7F6/jG4gyjD2oHVKyWhTnDztX39J4yanIKVW00Mhpd/emrIAW6lqMj85c72nHMvp1BQFMAgEa3WpVUhJK/y9735yejDf7fvNbrdeb/fdqJRSEid1cTSfvv/4pDIChERkq6TRatIUB7M65yyFMEYTCmRond+P8eurW6u0EOLnby5uOz8yjTn46JQ0Pnpt5LOD5fefvPPf/vVPcFJhofdhzAKywMuui+veDsB3m82bt2htVpKs4mkpFo1ZNASJhZDTBnL0+4HvNuGLK327wd0OUMqyUbaSSjMzhwjAICUqIxk4JeIMSgIzUQajvvPtj//hn33/eFn98Bff/OTnXzFCWZXTunz89OTZ06NKARNXWjFBY8y//Oln/+YHP3IpUlkQoixscbhKOaZdB5GtsjpDd3ttEIkECvFHf/yH50eLH/39T7764kupdYheM0c/unGfYxCJgDPkzMzEjA9/BcwMKPAhpcgAgEIgIuUspWImTBmIUZsH96guK0kU+lYYw0z8cP8EUU1moMzs8OSTTz9aTuuru/ub6xsj5Xy5Kq0e+h5Xf/6/T8MmbO+THwEYiJiytCWa0iyOp4dnxlqlVHR9d/MGGMxsFZwP3T67gTnxOLC2ACS1BeIwbAUACkHJMwGjAEApJUpJDMaWIAQorW2Rxy66AbSRWpN3YEshVOq20tjsHgpYAwoERGDkECh7YUpVLVBqZZVr2+U7H1ezebdZkxTk+pQzZI9CJNcjqmp+PNxdZD/Q2KJENVkKwLi982HUQqMtmtOnUpn2/qpZHZiiniwXj588mhS2ruzgIwIBJa31Yj5VAid1BcyC08nBvDLqydE8xdi7UBo5m1Yx0b53b27vtvv+ydmxi/TN5XUGaLtx49w3l3day2pSdZmQEKVY77ezqigKW5TlZuj+xR9/92e/evFvf/1idjCD0tbTKlB+e3O/v9+jz6eT2eabt+1mg8BJIh/MyHVUGHt8iFr4fcdW47QRRNyPtN6rb64UCQoRM0AImaKQxpgypQgolC2Rc4o+5wh+gOiEAC4menb4D/6zPyxK89Nffp1dTNHbSV03E22MEvnJ6eLR00dVWWza/V/+1d9+/Zuv5KJJSierIwCUhWACVEao8W5tdTGtJuP9WlktbaGMmZblMLS72xsInoIHYwWA1NrtNrHdQCYgRgE5BkQAQPAemQkFP7SCADJlYJJCMSIDSnyAWmRpS8yUcxZWS+aUIvKDbZKZSJR1tTg8OD794Fvvr+bN3/7ND3e7ra7s+eMnQKy12Gy2WH/yD+vjc4rZt7s47HMYOKeHDK5UUi7PZNlMpjOBQtoie6+baTWZgIDt3U3qOk45jt1we4UQVdkwquR6ITH6EVMSwBkAHyAoSgkhWUg0pbalrqdFMw3dflzfmOlSaoNSj/dXOY6mmSbvEQXEIYYAzCglEfE4AIJs5pxJMMlqOnnyvp4tcgilVfv9LvU9dVtAwTGiLXQ5zbs7N27zuBdSm/khoSDnMPSJMipty0lOEZXGoiyqUulidrAotPb94FIkIbSUUsoMcDCfzGbTaaUra/ddf7iaZalfXlw+PlgtZxUBvL1Zv7lbN7MZk7+9vNu2AyuRYpxUJQm1Wk5kUYwuSKvu7+7n02lRmJHSdFofNMVffOvd/+vf/IhNaSrrEHo3ru+2kBJ2cdmU333y7H/5679bv7lApSIyFxo1MBMUpZhNhDW5G0gi1FYwwbbHzqveY6K07yC4POyBhapmnCIAKFtlP7AgoARjL41FkKJshKlNPSEiyFlozZlBSEIhMiHCEMbZotQId5dvKAVR2HT+KFUVaYHGkHfcddB7QYgxSZTF9MBI7YcOul1M/ukHH95dv9ldXShEZgJGAIGUhCmUqXIYw9hBTpwDUKaHgx+YUwZgBhDMACC1eQDES2M5ZY4RgIUp4CG9KCUzAWcEYHqw5KCdHzx6773D1SJmypnX19dut7fz+cHx4c3FVT1pHj05RX38vihquzgtD06BKba7cb+mFJgShhHLSjVLZYqUyRgrpRGFXZ4/rqfz0pixd+u7m7Hfp34/bm44hsnhKRG362tgopQ4eqIkgDlG5oxC/DZVbAoUWtm6Wh4wI2qti8I2DaS8fvs6bG+xMPV85XZbCTm4kXOkByNESkBJmBKkzMGDEM3pE2mrsLu3s6W0ZQhOEihtk++D95BT2N0CIsXAOUtbAHHwraDIDMIYVUwZkCCjVEJoZiJEXZRKSuCciJFAVmWxXCohHmC+ZVObsozBCfj/93QmTZYdyXU+7h4Rd3pDDpUJoAA2GuiBbM4tUoPJjAvttODf1E/QUlrIxIWkDc1kYtPIBho9AFWFqhzedIeIcHctbnYvcp/vvYh7fTjnOy5EEkMtZbsbbq923/zLV+8enzf7oWlS2w9d16rVm5triuHt2w8Sm7Eswh66oTL/+JNX/+Gnn++79h9+/e2/Pjz3fXvO8+np7PDj6dindjpMtxw6im9+9c2Hd28Qk5JbGY1Z9hsjpq7nJjGxEhyqVgEKCLIU//7JjwfX4ucziIgEeYYEanqvC2CeF9nt49WNPx7BEjfXHBqdJ3I4U+o6B8oyu1WG1WWqeWYhxGD7rTaNpQZDZzDK1Q/PMHIijLOA3MDDftheY1lsnpo2GOzw9lsWglZXkxBD25fH93Bv9nelLGU8YWXu1gpyNyP31fNAskohSSQwc1Vtt/tyuXgtEAGxa4WvNGSDVq01hNRtryg1f/rzn0/n4+l42X18P49Tvkxq/rO/+LNIOI+Xzz776JtffUv9j/6duZETQtPff7Z5dT+dz2U8MVOdx3I5E5EHkZCChFKyaRFC2N28/uLH291tJammp8f3h3ffeVFiDykR0XK5WM0skqezzqOrWlkkRHPX+UJuLGyQ0G/D7hWIdTyn7WZ49REZu9t4PtTzQcvidXGChOjmVha4g2UVhEKIQWXJsR9k2MfU6zKX5Uwxxs1VPR58PoerG6vVprGWRYIQ4HCdR6C6Gn7PGnIzDuLEIXUUAoXgajAN3SAxUtvt7z7K0xhjIhGQl7ws09j2Q9vGeVo2Q/uDLz/76p/+dSr+kz/92e4qodZRrdtsquk4L8/jfDmfu6Yliafxst/v/uqHP/xPP//pN2/e/p9v3373fJyqasnz6TLNebjaCWw8XFJoUrX3X/3K8zQfnxECmG0ZnclFXILs9tR0VHLYbitjzSshI1xGOpwoL5in1e7KJUOd2t4IVBcuxYZt+vILBvT9s6sxxBXk4NAwc61zrTNZdVcyQ61oEn36Kf3gs7nMGEefZ88LnLgYltndAUKtZOYSvNrm+r5NPceYl8vx3W+glUDkBlDc3dh48vliuYRhb0Q2nonhpZDwCz8KYBYHETMJkyQJ0bVKbEPbLscnM2MR10pmJMIseZmEw/b2btjtJPU3d/c3dzfffPXV7d39Rx/fPR4vBBr6NglSiN+/+/Dm228Pjx+o/8l/BMEBd4r9Jm2v07DVZaZai1lo+yiU88LELIIVvK9lPBxDG+HSba8+/fInV69ePbx/fPftbw/fv7F87vpe1eFm0zFurh2o81RLZmhVZQleFpg54Hkx5mZ7Je1QlyxRYOiubnafvB6fDpeHd9Pp0bUIwUEchDjAzQ3mSjU7JPa9Lwulprm55xDL+TA/fs+xCZtdOT+7G0niNcNPZ9dCsSEmW0YrhUSYYKYwUzhA5HB3joFCZGaYSepqLdz2oRsYL+0jgVLXcwpp6De77f3dTS3LPI7U9OfLXJa8v9oYGbcp5/ru8RlCyXk+T1d3+z/54y//4ovPr/v23fn0X/7rf7t9/fF4GQ8Pj2ZGzq8/up+1Lqep74Y2pfPDw/P33y3jsY4Xh7uTW4WDu97gCEE2O2laXbKRrcMTL5nyQln5dHJVis26XaIVam4Kguz2ttt7znDzZaFq7k5qRIzQEpH6gpLZzVODlChENA1d7+nmajmf/HzxeYYWWgokgNiXmao6E6uxQ8ty89mP0vbm8Pa7fH7QMjGc1KDK3Ub6bX1+IGJuemexunheqJYXMqxVgFZbNkkMTesgis2w28emVdU8T+V8lBC1LDFEKzkMm+V8bPvd7evP59MBKe3v75fzSec5tN3rH34eg3z3299ZWY5PT9QM/XZ3/N2vx9NBy0L7f/v3boaS8zyhZA6BNzfkilqNI8ooDIRGmj52bWwHaXozXaaLL2OZ5jhsebO7v/vo1f0nIaU8Tw/fv/vw219pWTg1ZRzz+cgrMGw8smslYa3uTpLAzMyaF1eVfgCxxNB2u/F4aq+udnefjs8PXuayTPn85K4gCrH1EJlAxGsKSxw2FFIZL5qXpt8gBUhALnUai+ZAUqYLyKQfkOe6TADWUqbM41p0sogDbs4xgATMMHM3JnKS2HUkCU0DrbHpJAQOTG03dF1Kse3aUuv5eDydzmDWvAQJ7WbbtiHnPJ4vzuHu9f2+i03f/+AHn/75F59W4v/5j/90yvOb372ZpxJ2fZmXMM33n3z6lz/70fPx9NWv3/S7/fPj04c3b3Qax+f3Xhd391qhBvd1kEAheGCSSF3vy4xaEZIH4dOTqxPES5HY2jJ7KetungBSo2HwEH2ZIIFS9Fq8GpkTk6u90MJdCeDdjfdtTcGJSdXLYs7CvJITbI1fqGX1RQHuYIKxGsybm9e1Zh1PXmfS6qtRBIC5xL65uq3ThBDK+YhVFlDLasol09/7UUFNI80Aom53HVJnbiJirst4sZxjCBKiWwULS7z77IdlWY7v3u7u7k5PD+f33/fXN9vbu2p2ePtbnSc3Ctt9f329HB6Xxw8gEDMNf/J3HBPgWiu5k5uRxH4gsMQIIp2m6u5aGAht1+1uuv21OvI0jodnzSO1LVNa55K3NzchdW5e50lSXOZpupyn8/Pl8DQ9vdfDgxNTjMiLqWpZJCYKyRwSg5MwOPVd3Nxy7MCodQlETdtejg86jQ7UZRYJ0vburlpj01BoY2wQgpXstZoVkRjbgUXOzw+eZ3WzPHoeKTTu7kxYZq/ZYOTksHXe6m60nvqXpw5EZOXFQILJWkeLw1mEU2qbpuQlz1NVc5YQIEQcGqSYYhovlxClieHj+9u//us/a/tuKvXw4cNu2H+YLv/366/KUvLpvL+62u6327b/7ONP+jY+Pj79v2/fXx4e2s3+fHgKVtj19PBhKbnOE5mRGsidmNvOanGsgYNtaDtTM3eYcp6NhYrFbqPzZMvoWsndmQmARJcgRG7VYqAQUTJUPZf1kts0sTkRUdthd03zpaDC8DKINONho+5esueFV1qZORG5O0QcTo4Q+zRc5ad3gHudvZb19gGQpg393s3r5UAc3HRNwUEtWPsAIlclZg7BQwrdlsybqxsiCsy1VLNFa7Vah/2N5sXUdrev+t11Pwwf3nw3Lxl5Nq2qFoeB4Pn4vJye0zBQSHGzv3z/bZ5HCYE4SGpp9zd/7zWTVVUnkXXfLDExB1NttvvQbkx1Pr4nzbWqaWGm0G6aYcccq3mep3J4kCZo6GJsw2Z39erO1GITm6Zp+40Tg3x8fvzwm28O735DqizRYV6K50VhRMxeERtwgFMc9u3+2hxaKwxEGG6urJTx8MAxEZGkVmLjDpSc+k13dU1MNVdz0zxNp3NZpma7jaFxLXmZy+lYzo9hs3fA8qz5YrV4WS3F64aFjShIVFOvhYQMIDMiUIjMQctMElZ+nms1VVWFG4UA4ijs7tS2TdNM04wgH3388e1+c//x3e0n99/99s2Ht2/m49ztNreff/yvv/jncVxiTJ9/+ikHXsw2222s+u279++ejvPlsomNsacmNZKm49OylJKXZTyiZjcwk5t5CFhblxhBIqkz13XOQy9TFDYzmHrJqNlBYOEYTBX88paDq9fKIC7FY/LAGCdnhhMzez94CF4XLPPqASFiKwUsDncYVJkIZlBDSIBDqxNzamJ/FWOanx/MKsrkWgkACUAUIreDLhOt7wytDlsVw24mTY+VzylCElO/GW4+0pypafI0NVHydF5Oz5C0v3/d9MPl8Hz96v761f0yT5fj4fj4Ll9Gq9kcoR3IFGT5cgltt6YP1eXiJUu7KbWktvNSafvz/wwRBmmpwrBarGQyN1dpGm4Him0Iycri88Xdy3z2msHiWpmcU9e9ep36fZ6Xukyrid5CcFWtNcTYbbZxuNpc3+y2gxpOz4+n99/Np0PsehaZTker2VXr5WDzxd257ZB6WxZ29HefYvWZoYZh47mY5tRtKDXt7jrEVEoJIbZd2w6DK/IyLdNpBXmdn56n54cQKF29crUyj7HtTIvOYxmPpotrtVoY0JK9lhdMkIQYY10mqDozSyQRYsANHNxdp4sDRizCWKsKhTNDhCikvul2u6Zpr/fXV9c7TjgcTs9vH4dGXv/g9fP58Kvf/HZSHdr+3/zVX97e7L/65ddR0ngZ37z5/nA+SVWF377+NE/jMi8oZbxczN2s+DzCzc2Zyd1NiGslFlOVduC292UCgTj42n7lQnBTJSa4oyqF4IB5XVGrALhkd3DXuRocotVLcYn08lxwWz/4+mgPkUzdFGpEgCpCIAOJuJqv3YUbJFHquuu7Zb7o+YCayXVtxH0tkkQQIln1XChGr2U1uzIIseXUuVb46ifp7n74E0ktiALzdL4s81mnE0Eg8f4HX1qpMTUxpTbFd9/+pizj6eEDuaNpALd5qvPFaw3DTprWaoGarvWVGktwLboslD75E257hCTtQO42nblpgGB5JivVlCS0V3dp2Gkp5AZguRysTDCFO4FKrdx0abhu+p27O9DevCqn03h+9suTk1MaJLZpfzsM29h2sWutKjORUMlLnebx9GxV8+VYxiPyUqt116/KOMIVEqRpvSoJt/trmBMhbfdXrz/TUsucpeu81mWeqerV7fVS63g8rtL8y+l5+v4dBdncv7ayhLZLfa8ll5Lz44flfCjLSCVXGDEJk6ph9Q9jtVeTu0oIWipb1ZK1FmkarQZXITIzIuLYSNdttlfSJACp77q2H8vcD/3j+w9C8pMff7nk09e//OXh8Sn2/atPPvmrP/+zX//in7/+7u3f/s3f7ofhv/+PfxCmgNUYITXnYpbnsc4TcyhadJnJChkg5GrMK9NOm5g2++vm6hUJPT99KEuxXFyLlRlqZGorowAgCR7ETd2dAJihVJKAlKC69hVclWp1YooJTFbyS9nC5OZGIHPSijVxx4wkcGqcYLV4zuROEp047G6azX56eEMlmxu0oi6u5iCXFUJjKAWSIII6O4hDkthgnZJrdYc0Q/fqo49/+OMYQ2zS8ekwX87z6cmKdrurfnuVmqaUrEuRKIfHR7eqeZovRxEu00WnC7m5s7QtxwZO5qY1e519yRITYqN5djh1P/07O38wq9J0YbgGkU0XM2uGjbq6Gdx1WQBwP0hqu83eHPPxUeC1ZJiCCCCtRWITu0HVt68+5naosHo+lvGUT8/k1cAsjXSbtLtqu22Zxqq1HTqJrZpZzud3v/Y8gkRiAwmh25RpApnEhkQkxNA0ElsODAkSUtM0pWrqBjc/PHwoz4+GcvX6836ze37//Xx6SptNbHoiGq6vmq6vpYbABF/mRavaMpfxuByfT6cnlNnNYtvXshDY4T6dK9xUUyA1J4kcAgdZVSrkEBIjpK5tmsYkhCZJ09ucFTW1rauGNm37NjH96utfHh6fmm7z6Zev//JPf/rx3Sf/63//44cP737wxReBmLr23Xdv81SWy+n44ft5nk0EgJVS87R2pV4WIoKDTc3VScgpxHj9+o+uP/7k4e2349NjmUYzp9TodHkBlpm7qa8YJZCr0roiMpA5QliRM+SEtoEZlULuLpFCdK1uirVlMgXcCERE6itmnVkoBFMD0XoAvBRpOhA1V/c6n8ldS9HlbPN5pUWB1xeLsNDajVgtxMypASS2vS6TS2TVcP0qNpv9q7vd7e0wDOw4Hp7P52MtpUktgebL5XJ4KONFUsP9zmtOUQ7ff4cyUR5VlUKkkMBCFByEtcI5P0EChYZCsmW0ksmNuh//e4jo8cBeHR76LfdDnRcsk5FL05mBYHC4V+ZARNQMoRnI1bWWZWJyMGkuK2hNTV2dmzZd38XYuJNrtvG0TBcvExEj9KFtPCYysLsStd1AMZTxNL/9rUFXhiHFBqHjIJwaZ/49w52ImWKstQoHCcFJus0ubrZ5utRxRpBu2HCMyzihFEmJiMwt9pvUduPheXO1L6bL6RiAzatbES45oyx5WQCfj6eSF3hdxiOcQPDppHAOjVUTYTVrhiGkRlioaYSYzL1rQIZS+t1+npe+74NriDEmeXr/xBy++NHn9x/f7q42X//iXz68f7z97LMUm29+9XXV8vabb9gdCPPlxIEcyMtipQYhUzdyzOOL0RRgAkjisOm3e1VLTTOej9PxyUshBtQQG9cKKzB3YnBwAnKGvyjIyN3rS+sCIgrBCTClqoTVwORuRi9UQJjpymaF2QpoBQAWDoFTF9q+5kLrG4KDSEjbvS1LPjxwt1me3pEt7uu6hdzBsgKXiLS6KjcdhehuaXOttbS7W2k2dTx39x+lpg0ctMzj8RSCDNt9Lst0PmquVss8HjmPVmvY3qghkEsQLcXqVJeZQ3RVMiMOymxl8ZplpTbExq16za5GXlCV4kd/HNqWYudlVi+yrqn7gYl1md1UaxERftlQgEUADsNVaHpiYiLXkqeLamGOMDMtburLiLaXfh/7fRq2zMwS8ni6vH8nIahVwIlciI2EiXQZ2+tXnPqyjF4XPZ1cs7npeIEpCTkxk6iZrOj/kJjFrToFcAj9prv5iEILU68ldn3a7upcyjLakm2ZpOni0Jdp5ighpTxdbBwRIqc0XO3bYcsccsnilpdZ1iOZmsR8eHqcpzEyEXNq0+n5ICk5gJLdXdo2tp1IvDx8QF24HbphUK/9MFRTq/Pt3R0ZBeLD+enx7ft6uVy/vk+b7fnx2azM59Pp3ffNbl9rLtPZSzZ3DpFjtKpOTvNEZgY4iCSE2Iikbr8j0+ly4dSU5WJ5tpzJzcEuKz6DCGTmAFzrOqV5UZWtPqTQOGz1rhLcqxKYg5hV1IqVxwpYrb9fjpALw4yIAaIYIQKJzbAddreHhzdMTLGJ/cASlsOjs+jlSU9PAMABLEQgFndCTK6V3GSzJwm2LHHYel646YbXX+o0NZtduxnqPB3fvbk8vvNl4m4jqeEYVna/57mcD8TCm504dLpQahRkJZNmMwshYp0GEFmeLc9ILcfWzbxmqwtW9J8puVP85GdwZQoUEwlDq5UViNBAmAg6T6QFrgCchENwCis9SNqtxGiu5nAzgpNVrRUMmNfp7Gah6xFbjk1/dbe5ejXOeX54Ay95PNt4BBEPO2bSnJk4dFvE6FrXoZuIkNtyerb5YqrAuiSv696RmLEqxJmdBCTc7iQmmIW2dyYi5hAhwsR1GbUUopXjA1MLKcLJCe5q5gA1bevk6tR2/UoQFSYQjKiJcTydYAXOCCxRGJSnqVhlgEO6vr+HhBAi3HKpQWiZLsv5SCK2LBLYKty96cIyzafHJ9SsZnBLw0an03I+0hofGyNCkBC1FJTZ1cDEFEJMabuLTSchOuHw5nccg9Vi4wnu4AARB8DRXVELaoWQq0NfalSHwcESuOmc2PNCwggBZf22yUtBVQKQoq2IfFvVx+7EBIIqQqSYHAwmTk13dddtry5PD3APbUfC0+GBqpouejmxsIFW2D0gMgygaCF4zcxCIZEDBEhgju3tR57LylFmovP776a33xAcMUHVYa5GxM4iLM4MIeRMAPU7To1eni3PpBUcEOJLuqkWMgUHGfZmrtOJV93E+kdMzBRuv+AgkEDgFUFtNaNmhGSrlU5EawWTu5Ov+evEEr3MToLQUAgggRpHcTNbJkApJF8HEMvkNTuIhivhELsNQtDjg1zd23SxWtyqQ91NYqOlEDEcVhbWwm1HkkDrQ9Dc1N1cC2l1NSeAQOvqAk4EZ+F2cHMvBcxETMQuQVKry0zCcHM4O6AFwk68bnDW2wYzX+floSEKvpISiZxZTImg8EBUcvZSOKbQdJIiEZMIQoBwajqb5+np2QUhsptWN0AMxAQbL1pmL5mJjBkO7hpMlzqeiANIuEkEchErxWtmZpIoMaWmbTZ7CkHzoqXkeazzWKeJad0urT4K8vXXqWUNOiEiNwMxxcbMWIhja+qAUwgr3tgBaIUWLwUO4pc4HmjxFXL8e87Neg0ggWKTht3a716//oxDXMbLfDqHIFWXejlBa53O662xUgnKIkg9QjIzYnJVOBACc0DN1G642zEBtYa2cxK4Lg9vbL4gRIJbnkHsIZEIaoHrurB3idJ2xNFr9vniXte8qxdSm1VyUEguicxMM7CWdQRfwapEcAqvfkTkxAwOWI3kK5LfKgwEUJMc4jU7EQdx/T3IjRkrVtp0hUjDjJhfHpyOWiuHsF5yYnZilmDzTCGkq3stmeCcGq2Z8uK1qBuH6CUTEVJjNVMt1SCmTs4halmIxdY61I3N3Ko5EctKDfrD5ca6mXkpW8WDAMSrtHBd2cBhamv2HrurralngMPgIYKYmKDqUFdjYgPWr15EwIzUAkzC6+Fgglc1AtatE7EuC8iNxYlB8LxAC4FCFAeZGglbLaSV4M7CsXE3Jva14WQh4Rgbiim2bZ7H5XSopVrJlCdKEX9wJ4OdaS11APOSieWFzhTjemrdnUEgWF6IGSGuujQQYZleoGMsL5+kVlr1ZS8jpFWcT8SBmk6artlekUjst3We8uWUhq3WouPJiWyZfJ2daHE1igkhMrmWQubOAld2cwdSF4Yrd5MYFex5Camh2GiebL7oMtPKEHFyDhQTrHqe3IxYnJhjs87iYSCGLxcnWv9bgpMbSFySg0izawWL/x5ZxcSm9QVFLVd/RCKgABgROQV2dSiFBI5kqlZJApHAAa/rUXZngrqD1gWqK8HBrZOTK4HABEkAa80iASCrCws5R3IGuUnDDLiHtg9Na7o2W46ctWSHSWzMHG5wNXNXYy+m5kTsDhizOBgiXvN67InWrA+QO9wc5Kv8bV1pEQigtQxdDzpeAtIAekkHJIDIfZ3xr22nO2i9K8wMNWGs+dtIEebMoiwMEq/G0bUABKteMtajaQo1B5xJ1j0WC5ipFgMkpTUH0A3ctiATd+IY2ta0uMNLqeOs+QJySETNXiuZ+1rAgGm1f2l9CR0EWNVZECLV6qa+/u72B8+duBmTudlLoCBW5b0AcNdVUv+CI15fAhIQhThK6mM/cOrKeFkLaSF2Js9LXSZJybVYXgBCEleHuy+LawExrV4uZo7RQ4PQhLbXyzORIDakFWBbB6PL9CJsXqkipq5mpi/cTm4QxLGqn5xEMJ9s1WEQE5gkQWg1zbi9qDBovc8vu5s/XGr8fz6XgrCp0kjxAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDI1LTExLTA1VDE4OjM1OjU3KzAwOjAwuklYjgAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyNS0xMS0wNVQxODozNTo1NyswMDowMMsU4DIAAAAodEVYdGRhdGU6dGltZXN0YW1wADIwMjUtMTEtMDZUMDM6Mjg6NDIrMDA6MDBl7VCDAAAAAElFTkSuQmCC"
+          }
+        },
+        {
+          "type": "text",
+          "text": "What color is this image?"
+        }
+      ]
+    },
+    {
+      "role": "assistant",
+      "content": "Blue.",
+      "refusal": null,
+      "annotations": []
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ],
+  "max_completion_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/chat-completions/followup-response-streaming.json b/payloads/snapshots/base64ImageRequest/chat-completions/followup-response-streaming.json
new file mode 100644
index 00000000..83e8e341
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/chat-completions/followup-response-streaming.json
@@ -0,0 +1,2144 @@
+[
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "role": "assistant",
+          "content": "",
+          "refusal": null
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "AP"
+  },
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "Could"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "8Ff5z7XchaKiFwj"
+  },
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " you"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " clarify"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "xlYFatpAklsL"
+  },
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " what"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "oKJWnusNP3thGcr"
+  },
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " you"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " want"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "xoSZA7nyuxp64jo"
+  },
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " to"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "8"
+  },
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " do"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "d"
+  },
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " next"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "Z0IWBb0YkcZrtj4"
+  },
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "?"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "AFk"
+  },
+  {
+    "id": "chatcmpl-CYkzIKtTy2djUd8OLzO5qWgq1Rhsw",
+    "object": "chat.completion.chunk",
+    "created": 1762399808,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
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diff --git a/payloads/snapshots/base64ImageRequest/chat-completions/followup-response.json b/payloads/snapshots/base64ImageRequest/chat-completions/followup-response.json
new file mode 100644
index 00000000..b9b5c67f
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/chat-completions/followup-response.json
@@ -0,0 +1,35 @@
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+}
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/chat-completions/request.json b/payloads/snapshots/base64ImageRequest/chat-completions/request.json
new file mode 100644
index 00000000..aaa494c0
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/chat-completions/request.json
@@ -0,0 +1,22 @@
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"
+          }
+        },
+        {
+          "type": "text",
+          "text": "What color is this image?"
+        }
+      ]
+    }
+  ],
+  "max_completion_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/chat-completions/response-streaming.json b/payloads/snapshots/base64ImageRequest/chat-completions/response-streaming.json
new file mode 100644
index 00000000..d54b3ce3
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/chat-completions/response-streaming.json
@@ -0,0 +1,434 @@
+[
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "role": "assistant",
+          "content": "",
+          "refusal": null
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "eS"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "Blue"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "."
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "snT"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " The"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " image"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "piGU1L0s4jQorq"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " is"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "D"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " dominated"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "lgjmICcXec"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " by"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "1"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " blue"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "NGSzjT0lBGT5r7n"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " tones"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "VUWiSXOI9H8Lhz"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " ("
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "PW"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "storm"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "fDubOVmA0gyb6FP"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "y"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "Rsi"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " sea"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " and"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " sky"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "),"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "Pu"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " with"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "mMnRGGcQWnjUaAY"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " teal"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "dNxRfTbxybRrk7X"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " and"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " white"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "YdUE0M88dWyfxv"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " highlights"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "U9cqJKymj"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "."
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "E8D"
+  },
+  {
+    "id": "chatcmpl-CYkzF41i4d6KqtrDloLuODZMcR5Ek",
+    "object": "chat.completion.chunk",
+    "created": 1762399805,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {},
+        "finish_reason": "stop"
+      }
+    ],
+    "obfuscation": "nymfK9OvGbh3uK"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/chat-completions/response.json b/payloads/snapshots/base64ImageRequest/chat-completions/response.json
new file mode 100644
index 00000000..de73ab79
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/chat-completions/response.json
@@ -0,0 +1,35 @@
+{
+  "id": "chatcmpl-CYkzFiFYUdKi74m8yjnrkAq7HWEpz",
+  "object": "chat.completion",
+  "created": 1762399805,
+  "model": "gpt-5-nano-2025-08-07",
+  "choices": [
+    {
+      "index": 0,
+      "message": {
+        "role": "assistant",
+        "content": "Blue.",
+        "refusal": null,
+        "annotations": []
+      },
+      "finish_reason": "stop"
+    }
+  ],
+  "usage": {
+    "prompt_tokens": 109,
+    "completion_tokens": 75,
+    "total_tokens": 184,
+    "prompt_tokens_details": {
+      "cached_tokens": 0,
+      "audio_tokens": 0
+    },
+    "completion_tokens_details": {
+      "reasoning_tokens": 64,
+      "audio_tokens": 0,
+      "accepted_prediction_tokens": 0,
+      "rejected_prediction_tokens": 0
+    }
+  },
+  "service_tier": "default",
+  "system_fingerprint": null
+}
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/responses/followup-request.json b/payloads/snapshots/base64ImageRequest/responses/followup-request.json
new file mode 100644
index 00000000..c43e9069
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/responses/followup-request.json
@@ -0,0 +1,46 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning": {
+    "effort": "minimal"
+  },
+  "input": [
+    {
+      "role": "user",
+      "content": [
+        {
+          "type": "input_image",
+          "detail": "auto",
+          "image_url": 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"
+        },
+        {
+          "type": "input_text",
+          "text": "What color is this image?"
+        }
+      ]
+    },
+    {
+      "id": "rs_00c4960e9cd6fbdd00690c163e80b081978de5f8c4f46c8ac2",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_00c4960e9cd6fbdd00690c163e9b5481978cde3ad2670409c6",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "The image is predominantly blue, with various shades ranging from dark navy to turquoise, plus white highlights from the waves and clouds."
+        }
+      ],
+      "role": "assistant"
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ],
+  "max_output_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/responses/followup-response-streaming.json b/payloads/snapshots/base64ImageRequest/responses/followup-response-streaming.json
new file mode 100644
index 00000000..4fd7475d
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/responses/followup-response-streaming.json
@@ -0,0 +1,1980 @@
+[
+  {
+    "type": "response.created",
+    "sequence_number": 0,
+    "response": {
+      "id": "resp_00c4960e9cd6fbdd00690c164019ec8197b3fe117b5b257453",
+      "object": "response",
+      "created_at": 1762399808,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.in_progress",
+    "sequence_number": 1,
+    "response": {
+      "id": "resp_00c4960e9cd6fbdd00690c164019ec8197b3fe117b5b257453",
+      "object": "response",
+      "created_at": 1762399808,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.output_item.added",
+    "sequence_number": 2,
+    "output_index": 0,
+    "item": {
+      "id": "rs_00c4960e9cd6fbdd00690c1640cd64819788ca619695223d9a",
+      "type": "reasoning",
+      "summary": []
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 3,
+    "output_index": 0,
+    "item": {
+      "id": "rs_00c4960e9cd6fbdd00690c1640cd64819788ca619695223d9a",
+      "type": "reasoning",
+      "summary": []
+    }
+  },
+  {
+    "type": "response.output_item.added",
+    "sequence_number": 4,
+    "output_index": 1,
+    "item": {
+      "id": "msg_00c4960e9cd6fbdd00690c1640ebb08197a0b9ee9e3e06d751",
+      "type": "message",
+      "status": "in_progress",
+      "content": [],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.content_part.added",
+    "sequence_number": 5,
+    "item_id": "msg_00c4960e9cd6fbdd00690c1640ebb08197a0b9ee9e3e06d751",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": ""
+    }
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 6,
+    "item_id": "msg_00c4960e9cd6fbdd00690c1640ebb08197a0b9ee9e3e06d751",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": "If",
+    "logprobs": [],
+    "obfuscation": "Nv86yuZyLUAqQO"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 7,
+    "item_id": "msg_00c4960e9cd6fbdd00690c1640ebb08197a0b9ee9e3e06d751",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " you",
+    "logprobs": [],
+    "obfuscation": "xb2tozfgl6aH"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 8,
+    "item_id": "msg_00c4960e9cd6fbdd00690c1640ebb08197a0b9ee9e3e06d751",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": "’re",
+    "logprobs": [],
+    "obfuscation": "wJjvdqCJ0JGET"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 9,
+    "item_id": "msg_00c4960e9cd6fbdd00690c1640ebb08197a0b9ee9e3e06d751",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " asking",
+    "logprobs": [],
+    "obfuscation": "XmXcYQhDy"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 10,
+    "item_id": "msg_00c4960e9cd6fbdd00690c1640ebb08197a0b9ee9e3e06d751",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " for",
+    "logprobs": [],
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+    "item_id": "msg_00c4960e9cd6fbdd00690c1640ebb08197a0b9ee9e3e06d751",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": "If you’re asking for next steps in a task about the image, here are a few options:\n\n- For a writing prompt: Use the stormy sea and ship as inspiration for a scene or short story. Focus on tension, weather, and the crew’s actions.\n- For a drawing/art project: Sketch the ship fighting the waves, study how light hits the sails, and add dramatic clouds and lightning.\n- For a photo/composition exercise: Create a mood board with color palettes (deep blues, teals, whites) and practice contrast in a stormy scene.\n- If this is for a game or animation: Plan a sequence where the ship must navigate a treacherous pass, define camera angles, and add particle effects for rain and spray.\n\nIf you meant something else, tell me what you’re aiming to do and I’ll tailor steps."
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 181,
+    "output_index": 1,
+    "item": {
+      "id": "msg_00c4960e9cd6fbdd00690c1640ebb08197a0b9ee9e3e06d751",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "If you’re asking for next steps in a task about the image, here are a few options:\n\n- For a writing prompt: Use the stormy sea and ship as inspiration for a scene or short story. Focus on tension, weather, and the crew’s actions.\n- For a drawing/art project: Sketch the ship fighting the waves, study how light hits the sails, and add dramatic clouds and lightning.\n- For a photo/composition exercise: Create a mood board with color palettes (deep blues, teals, whites) and practice contrast in a stormy scene.\n- If this is for a game or animation: Plan a sequence where the ship must navigate a treacherous pass, define camera angles, and add particle effects for rain and spray.\n\nIf you meant something else, tell me what you’re aiming to do and I’ll tailor steps."
+        }
+      ],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.completed",
+    "sequence_number": 182,
+    "response": {
+      "id": "resp_00c4960e9cd6fbdd00690c164019ec8197b3fe117b5b257453",
+      "object": "response",
+      "created_at": 1762399808,
+      "status": "completed",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [
+        {
+          "id": "rs_00c4960e9cd6fbdd00690c1640cd64819788ca619695223d9a",
+          "type": "reasoning",
+          "summary": []
+        },
+        {
+          "id": "msg_00c4960e9cd6fbdd00690c1640ebb08197a0b9ee9e3e06d751",
+          "type": "message",
+          "status": "completed",
+          "content": [
+            {
+              "type": "output_text",
+              "annotations": [],
+              "logprobs": [],
+              "text": "If you’re asking for next steps in a task about the image, here are a few options:\n\n- For a writing prompt: Use the stormy sea and ship as inspiration for a scene or short story. Focus on tension, weather, and the crew’s actions.\n- For a drawing/art project: Sketch the ship fighting the waves, study how light hits the sails, and add dramatic clouds and lightning.\n- For a photo/composition exercise: Create a mood board with color palettes (deep blues, teals, whites) and practice contrast in a stormy scene.\n- If this is for a game or animation: Plan a sequence where the ship must navigate a treacherous pass, define camera angles, and add particle effects for rain and spray.\n\nIf you meant something else, tell me what you’re aiming to do and I’ll tailor steps."
+            }
+          ],
+          "role": "assistant"
+        }
+      ],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "default",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": {
+        "input_tokens": 149,
+        "input_tokens_details": {
+          "cached_tokens": 0
+        },
+        "output_tokens": 179,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 328
+      },
+      "user": null,
+      "metadata": {}
+    }
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/responses/followup-response.json b/payloads/snapshots/base64ImageRequest/responses/followup-response.json
new file mode 100644
index 00000000..d7db0f66
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/responses/followup-response.json
@@ -0,0 +1,74 @@
+{
+  "id": "resp_00c4960e9cd6fbdd00690c1640542881978095890f05416157",
+  "object": "response",
+  "created_at": 1762399808,
+  "status": "completed",
+  "background": false,
+  "billing": {
+    "payer": "developer"
+  },
+  "error": null,
+  "incomplete_details": null,
+  "instructions": null,
+  "max_output_tokens": 300,
+  "max_tool_calls": null,
+  "model": "gpt-5-nano-2025-08-07",
+  "output": [
+    {
+      "id": "rs_00c4960e9cd6fbdd00690c164125e08197ad8e990cc91ee657",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_00c4960e9cd6fbdd00690c16413eb08197934a4c6b73d2c0db",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Here are a few options, depending on what you’re aiming for:\n\n- If you want to analyze or edit the image: tell me what software you’re using and what you want to change (color, contrast, add text, remove the ship, etc.).\n- If you’re looking for a story prompt: use the stormy sea and ship as a setting; I can craft a short scene or plot.\n- If you want a design/task: I can generate color palettes inspired by the image or create a poster concept.\n- If you’re unsure of the goal: share the context or project you’re working on and I’ll suggest specific next steps.\n\nWhat would you like to do with this image?"
+        }
+      ],
+      "role": "assistant"
+    }
+  ],
+  "parallel_tool_calls": true,
+  "previous_response_id": null,
+  "prompt_cache_key": null,
+  "prompt_cache_retention": null,
+  "reasoning": {
+    "effort": "minimal",
+    "summary": null
+  },
+  "safety_identifier": null,
+  "service_tier": "default",
+  "store": true,
+  "temperature": 1,
+  "text": {
+    "format": {
+      "type": "text"
+    },
+    "verbosity": "medium"
+  },
+  "tool_choice": "auto",
+  "tools": [],
+  "top_logprobs": 0,
+  "top_p": 1,
+  "truncation": "disabled",
+  "usage": {
+    "input_tokens": 149,
+    "input_tokens_details": {
+      "cached_tokens": 0
+    },
+    "output_tokens": 147,
+    "output_tokens_details": {
+      "reasoning_tokens": 0
+    },
+    "total_tokens": 296
+  },
+  "user": null,
+  "metadata": {},
+  "output_text": "Here are a few options, depending on what you’re aiming for:\n\n- If you want to analyze or edit the image: tell me what software you’re using and what you want to change (color, contrast, add text, remove the ship, etc.).\n- If you’re looking for a story prompt: use the stormy sea and ship as a setting; I can craft a short scene or plot.\n- If you want a design/task: I can generate color palettes inspired by the image or create a poster concept.\n- If you’re unsure of the goal: share the context or project you’re working on and I’ll suggest specific next steps.\n\nWhat would you like to do with this image?"
+}
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/responses/request.json b/payloads/snapshots/base64ImageRequest/responses/request.json
new file mode 100644
index 00000000..cb93cd04
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/responses/request.json
@@ -0,0 +1,23 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning": {
+    "effort": "minimal"
+  },
+  "input": [
+    {
+      "role": "user",
+      "content": [
+        {
+          "type": "input_image",
+          "detail": "auto",
+          "image_url": 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"
+        },
+        {
+          "type": "input_text",
+          "text": "What color is this image?"
+        }
+      ]
+    }
+  ],
+  "max_output_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/base64ImageRequest/responses/response-streaming.json b/payloads/snapshots/base64ImageRequest/responses/response-streaming.json
new file mode 100644
index 00000000..9fd3c526
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/responses/response-streaming.json
@@ -0,0 +1,760 @@
+[
+  {
+    "type": "response.created",
+    "sequence_number": 0,
+    "response": {
+      "id": "resp_04c5789e43734add00690c163dd0c88197b90fab11e221c9e4",
+      "object": "response",
+      "created_at": 1762399805,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.in_progress",
+    "sequence_number": 1,
+    "response": {
+      "id": "resp_04c5789e43734add00690c163dd0c88197b90fab11e221c9e4",
+      "object": "response",
+      "created_at": 1762399805,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.output_item.added",
+    "sequence_number": 2,
+    "output_index": 0,
+    "item": {
+      "id": "rs_04c5789e43734add00690c163ed66c8197b52613578bfcd72e",
+      "type": "reasoning",
+      "summary": []
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 3,
+    "output_index": 0,
+    "item": {
+      "id": "rs_04c5789e43734add00690c163ed66c8197b52613578bfcd72e",
+      "type": "reasoning",
+      "summary": []
+    }
+  },
+  {
+    "type": "response.output_item.added",
+    "sequence_number": 4,
+    "output_index": 1,
+    "item": {
+      "id": "msg_04c5789e43734add00690c163eeb98819799a3844768492937",
+      "type": "message",
+      "status": "in_progress",
+      "content": [],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.content_part.added",
+    "sequence_number": 5,
+    "item_id": "msg_04c5789e43734add00690c163eeb98819799a3844768492937",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": ""
+    }
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 6,
+    "item_id": "msg_04c5789e43734add00690c163eeb98819799a3844768492937",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": "The",
+    "logprobs": [],
+    "obfuscation": "nn0iGcKXXsrjT"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 7,
+    "item_id": "msg_04c5789e43734add00690c163eeb98819799a3844768492937",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " image",
+    "logprobs": [],
+    "obfuscation": "7aAaDEQmJY"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 8,
+    "item_id": "msg_04c5789e43734add00690c163eeb98819799a3844768492937",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " is",
+    "logprobs": [],
+    "obfuscation": "Wp4ah77LrmcXs"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 9,
+    "item_id": "msg_04c5789e43734add00690c163eeb98819799a3844768492937",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " dominated",
+    "logprobs": [],
+    "obfuscation": "7E8qVH"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 10,
+    "item_id": "msg_04c5789e43734add00690c163eeb98819799a3844768492937",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " by",
+    "logprobs": [],
+    "obfuscation": "KZ4vz6o0DBtpm"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 11,
+    "item_id": "msg_04c5789e43734add00690c163eeb98819799a3844768492937",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " shades",
+    "logprobs": [],
+    "obfuscation": "AV4091bBX"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 12,
+    "item_id": "msg_04c5789e43734add00690c163eeb98819799a3844768492937",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " of",
+    "logprobs": [],
+    "obfuscation": "0jItfuHY7z4Pm"
+  },
+  {
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diff --git a/payloads/snapshots/base64ImageRequest/responses/response.json b/payloads/snapshots/base64ImageRequest/responses/response.json
new file mode 100644
index 00000000..f4bf796f
--- /dev/null
+++ b/payloads/snapshots/base64ImageRequest/responses/response.json
@@ -0,0 +1,74 @@
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+    "verbosity": "medium"
+  },
+  "tool_choice": "auto",
+  "tools": [],
+  "top_logprobs": 0,
+  "top_p": 1,
+  "truncation": "disabled",
+  "usage": {
+    "input_tokens": 108,
+    "input_tokens_details": {
+      "cached_tokens": 0
+    },
+    "output_tokens": 31,
+    "output_tokens_details": {
+      "reasoning_tokens": 0
+    },
+    "total_tokens": 139
+  },
+  "user": null,
+  "metadata": {},
+  "output_text": "The image is predominantly blue, with various shades ranging from dark navy to turquoise, plus white highlights from the waves and clouds."
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/anthropic/followup-request.json b/payloads/snapshots/documentInputBase64Request/anthropic/followup-request.json
new file mode 100644
index 00000000..43447610
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/anthropic/followup-request.json
@@ -0,0 +1,36 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "max_tokens": 300,
+  "messages": [
+    {
+      "role": "user",
+      "content": [
+        {
+          "type": "document",
+          "source": {
+            "type": "base64",
+            "media_type": "application/pdf",
+            "data": "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"
+          }
+        },
+        {
+          "type": "text",
+          "text": "What is in this document?"
+        }
+      ]
+    },
+    {
+      "role": "assistant",
+      "content": [
+        {
+          "type": "text",
+          "text": "This document is a simple test PDF that contains only one sentence: \"This is a test PDF. It contains only a few sentences.\"\n\nThe document appears to be a basic example or template file, likely created for testing purposes. It has minimal content and a lot of white space on the page."
+        }
+      ]
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/anthropic/followup-response-streaming.json b/payloads/snapshots/documentInputBase64Request/anthropic/followup-response-streaming.json
new file mode 100644
index 00000000..f61d0196
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/anthropic/followup-response-streaming.json
@@ -0,0 +1,253 @@
+[
+  {
+    "type": "message_start",
+    "message": {
+      "model": "claude-sonnet-4-20250514",
+      "id": "msg_01JLFnabrJHfSQyunihdX9vV",
+      "type": "message",
+      "role": "assistant",
+      "content": [],
+      "stop_reason": null,
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 1672,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 1,
+        "service_tier": "standard"
+      }
+    }
+  },
+  {
+    "type": "content_block_start",
+    "index": 0,
+    "content_block": {
+      "type": "text",
+      "text": ""
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "That"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " depends on what your goal is!"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " Here are some possibilities base"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "d on what you might be"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " trying to accomplish:\n\n**If you"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "'re testing PDF functionality:**\n- Try"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " uploading a more complex PDF with multiple pages,"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " images, or tables\n- Test"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " with different types of content (charts, forms"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": ", etc.)\n\n**If you're learning"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " how to work with PDFs:**\n- Practice asking"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " specific questions about PDF content\n- Try uplo"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "ading documents you need help"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " analyzing or summarizing\n\n**If you have"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " a specific task in mind:**\n- Uploa"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "d the actual document you need help with\n- Let"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " me know what kind of analysis,"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " summary, or assistance you're"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " looking for\n\n**If you're just"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " exploring:**\n- Feel free to ask"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " me questions about what I can do with documents"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "\n- Try uploading different file types to see how"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " I can help\n\nWhat were you hoping to accomplish?"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " I'd be happy to help guide you toward your"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " specific goal!"
+    }
+  },
+  {
+    "type": "content_block_stop",
+    "index": 0
+  },
+  {
+    "type": "message_delta",
+    "delta": {
+      "stop_reason": "end_turn",
+      "stop_sequence": null
+    },
+    "usage": {
+      "input_tokens": 1672,
+      "cache_creation_input_tokens": 0,
+      "cache_read_input_tokens": 0,
+      "output_tokens": 198
+    }
+  },
+  {
+    "type": "message_stop"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/anthropic/followup-response.json b/payloads/snapshots/documentInputBase64Request/anthropic/followup-response.json
new file mode 100644
index 00000000..e839dc92
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/anthropic/followup-response.json
@@ -0,0 +1,25 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "id": "msg_01NeNsaYJV9cYYHbhZBuZpFq",
+  "type": "message",
+  "role": "assistant",
+  "content": [
+    {
+      "type": "text",
+      "text": "That depends on what your goal was with this test PDF! Here are some possibilities:\n\n**If you're testing PDF functionality:**\n- Try uploading a more complex PDF with multiple pages, images, tables, or formatting to test how well it's processed\n- Test with different types of content (technical documents, forms, charts, etc.)\n\n**If you're learning how to work with PDFs:**\n- Try asking specific questions about PDF content analysis\n- Practice with documents that have more substantial content to analyze\n\n**If you're working on a specific project:**\n- Upload the actual document you need help with\n- Let me know what kind of analysis or assistance you need\n\n**If you're just exploring:**\n- Feel free to ask me questions about what I can do with documents\n- Try different types of files or tasks\n\nWhat were you hoping to accomplish? I'd be happy to help guide you toward your specific goal!"
+    }
+  ],
+  "stop_reason": "end_turn",
+  "stop_sequence": null,
+  "usage": {
+    "input_tokens": 1672,
+    "cache_creation_input_tokens": 0,
+    "cache_read_input_tokens": 0,
+    "cache_creation": {
+      "ephemeral_5m_input_tokens": 0,
+      "ephemeral_1h_input_tokens": 0
+    },
+    "output_tokens": 195,
+    "service_tier": "standard"
+  }
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/anthropic/request.json b/payloads/snapshots/documentInputBase64Request/anthropic/request.json
new file mode 100644
index 00000000..42e7c27a
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/anthropic/request.json
@@ -0,0 +1,23 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "max_tokens": 300,
+  "messages": [
+    {
+      "role": "user",
+      "content": [
+        {
+          "type": "document",
+          "source": {
+            "type": "base64",
+            "media_type": "application/pdf",
+            "data": 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"
+          }
+        },
+        {
+          "type": "text",
+          "text": "What is in this document?"
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/anthropic/response-streaming.json b/payloads/snapshots/documentInputBase64Request/anthropic/response-streaming.json
new file mode 100644
index 00000000..83629d7a
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/anthropic/response-streaming.json
@@ -0,0 +1,125 @@
+[
+  {
+    "type": "message_start",
+    "message": {
+      "model": "claude-sonnet-4-20250514",
+      "id": "msg_01Rg47dfKATgMGbZZVRH19xx",
+      "type": "message",
+      "role": "assistant",
+      "content": [],
+      "stop_reason": null,
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 1600,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 3,
+        "service_tier": "standard"
+      }
+    }
+  },
+  {
+    "type": "content_block_start",
+    "index": 0,
+    "content_block": {
+      "type": "text",
+      "text": ""
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "This document is"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " a simple test PDF that contains minimal content. It has just"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " one sentence of text that reads: \"This"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " is a test PDF. It contains only"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " a few sentences.\"\n\nThe"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " document appears to be a basic example"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " or placeholder PDF, likely used for testing purposes"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": ", with mostly blank space on"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " the page."
+    }
+  },
+  {
+    "type": "content_block_stop",
+    "index": 0
+  },
+  {
+    "type": "message_delta",
+    "delta": {
+      "stop_reason": "end_turn",
+      "stop_sequence": null
+    },
+    "usage": {
+      "input_tokens": 1600,
+      "cache_creation_input_tokens": 0,
+      "cache_read_input_tokens": 0,
+      "output_tokens": 66
+    }
+  },
+  {
+    "type": "message_stop"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/anthropic/response.json b/payloads/snapshots/documentInputBase64Request/anthropic/response.json
new file mode 100644
index 00000000..eba80598
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/anthropic/response.json
@@ -0,0 +1,25 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "id": "msg_019bosLL3bBczysyDVvqiaxH",
+  "type": "message",
+  "role": "assistant",
+  "content": [
+    {
+      "type": "text",
+      "text": "This document is a simple test PDF that contains only one sentence: \"This is a test PDF. It contains only a few sentences.\"\n\nThe document appears to be a basic example or template file, likely created for testing purposes. It has minimal content and a lot of white space on the page."
+    }
+  ],
+  "stop_reason": "end_turn",
+  "stop_sequence": null,
+  "usage": {
+    "input_tokens": 1600,
+    "cache_creation_input_tokens": 0,
+    "cache_read_input_tokens": 0,
+    "cache_creation": {
+      "ephemeral_5m_input_tokens": 0,
+      "ephemeral_1h_input_tokens": 0
+    },
+    "output_tokens": 63,
+    "service_tier": "standard"
+  }
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/chat-completions/followup-request.json b/payloads/snapshots/documentInputBase64Request/chat-completions/followup-request.json
new file mode 100644
index 00000000..ddccd9e4
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/chat-completions/followup-request.json
@@ -0,0 +1,33 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning_effort": "low",
+  "messages": [
+    {
+      "role": "user",
+      "content": [
+        {
+          "type": "file",
+          "file": {
+            "file_data": 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",
+            "filename": "test-document.pdf"
+          }
+        },
+        {
+          "type": "text",
+          "text": "What is in this document?"
+        }
+      ]
+    },
+    {
+      "role": "assistant",
+      "content": "This document is a test PDF that contains only a few sentences. The only visible content, from the parsed text, is: \"This is a test PDF. It contains only a few sentences.\" There don’t appear to be any images or other content. If you want, I can extract or summarize any other parts or check for hidden content.",
+      "refusal": null,
+      "annotations": []
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ],
+  "max_completion_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/chat-completions/followup-response-streaming.json b/payloads/snapshots/documentInputBase64Request/chat-completions/followup-response-streaming.json
new file mode 100644
index 00000000..5df3f3d1
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/chat-completions/followup-response-streaming.json
@@ -0,0 +1,3062 @@
+[
+  {
+    "id": "chatcmpl-CYfucAgtAbE81UQIk4ATtpmZdhuzh",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "role": "assistant",
+          "content": "",
+          "refusal": null
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "zl"
+  },
+  {
+    "id": "chatcmpl-CYfucAgtAbE81UQIk4ATtpmZdhuzh",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "Here"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYfucAgtAbE81UQIk4ATtpmZdhuzh",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " are"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYfucAgtAbE81UQIk4ATtpmZdhuzh",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " some"
+        },
+        "finish_reason": null
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+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "nO"
+  },
+  {
+    "id": "chatcmpl-CYfucAgtAbE81UQIk4ATtpmZdhuzh",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {},
+        "finish_reason": "length"
+      }
+    ],
+    "obfuscation": "eMVrjsPoYdGY"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/chat-completions/followup-response.json b/payloads/snapshots/documentInputBase64Request/chat-completions/followup-response.json
new file mode 100644
index 00000000..cac26529
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/chat-completions/followup-response.json
@@ -0,0 +1,35 @@
+{
+  "id": "chatcmpl-CYfubZVWQgInFkbOClNMdOLhdgDua",
+  "object": "chat.completion",
+  "created": 1762380297,
+  "model": "gpt-5-nano-2025-08-07",
+  "choices": [
+    {
+      "index": 0,
+      "message": {
+        "role": "assistant",
+        "content": "",
+        "refusal": null,
+        "annotations": []
+      },
+      "finish_reason": "length"
+    }
+  ],
+  "usage": {
+    "prompt_tokens": 326,
+    "completion_tokens": 300,
+    "total_tokens": 626,
+    "prompt_tokens_details": {
+      "cached_tokens": 0,
+      "audio_tokens": 0
+    },
+    "completion_tokens_details": {
+      "reasoning_tokens": 300,
+      "audio_tokens": 0,
+      "accepted_prediction_tokens": 0,
+      "rejected_prediction_tokens": 0
+    }
+  },
+  "service_tier": "default",
+  "system_fingerprint": null
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/chat-completions/request.json b/payloads/snapshots/documentInputBase64Request/chat-completions/request.json
new file mode 100644
index 00000000..b6288b84
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/chat-completions/request.json
@@ -0,0 +1,23 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning_effort": "low",
+  "messages": [
+    {
+      "role": "user",
+      "content": [
+        {
+          "type": "file",
+          "file": {
+            "file_data": 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",
+            "filename": "test-document.pdf"
+          }
+        },
+        {
+          "type": "text",
+          "text": "What is in this document?"
+        }
+      ]
+    }
+  ],
+  "max_completion_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/chat-completions/response-streaming.json b/payloads/snapshots/documentInputBase64Request/chat-completions/response-streaming.json
new file mode 100644
index 00000000..cc73f9ad
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/chat-completions/response-streaming.json
@@ -0,0 +1,1532 @@
+[
+  {
+    "id": "chatcmpl-CYfuYmx1QQhRzw6JtCcwzTExZXmFw",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "role": "assistant",
+          "content": "",
+          "refusal": null
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "k9"
+  },
+  {
+    "id": "chatcmpl-CYfuYmx1QQhRzw6JtCcwzTExZXmFw",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "This"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYfuYmx1QQhRzw6JtCcwzTExZXmFw",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " document"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "B8cBVfCtSwx"
+  },
+  {
+    "id": "chatcmpl-CYfuYmx1QQhRzw6JtCcwzTExZXmFw",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " appears"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "vTxhgZXYnnFc"
+  },
+  {
+    "id": "chatcmpl-CYfuYmx1QQhRzw6JtCcwzTExZXmFw",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
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diff --git a/payloads/snapshots/documentInputBase64Request/chat-completions/response.json b/payloads/snapshots/documentInputBase64Request/chat-completions/response.json
new file mode 100644
index 00000000..eddac5c4
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/chat-completions/response.json
@@ -0,0 +1,35 @@
+{
+  "id": "chatcmpl-CYfuY7MFxeqzwlaLNuYeC2UkQtNTH",
+  "object": "chat.completion",
+  "created": 1762380294,
+  "model": "gpt-5-nano-2025-08-07",
+  "choices": [
+    {
+      "index": 0,
+      "message": {
+        "role": "assistant",
+        "content": "This document is a test PDF that contains only a few sentences. The only visible content, from the parsed text, is: \"This is a test PDF. It contains only a few sentences.\" There don’t appear to be any images or other content. If you want, I can extract or summarize any other parts or check for hidden content.",
+        "refusal": null,
+        "annotations": []
+      },
+      "finish_reason": "stop"
+    }
+  ],
+  "usage": {
+    "prompt_tokens": 241,
+    "completion_tokens": 206,
+    "total_tokens": 447,
+    "prompt_tokens_details": {
+      "cached_tokens": 0,
+      "audio_tokens": 0
+    },
+    "completion_tokens_details": {
+      "reasoning_tokens": 128,
+      "audio_tokens": 0,
+      "accepted_prediction_tokens": 0,
+      "rejected_prediction_tokens": 0
+    }
+  },
+  "service_tier": "default",
+  "system_fingerprint": null
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/responses/followup-request.json b/payloads/snapshots/documentInputBase64Request/responses/followup-request.json
new file mode 100644
index 00000000..570604d2
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/responses/followup-request.json
@@ -0,0 +1,46 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning": {
+    "effort": "minimal"
+  },
+  "input": [
+    {
+      "role": "user",
+      "content": [
+        {
+          "type": "input_file",
+          "file_data": "data:application/pdf;base64,JVBERi0xLjMKJcTl8uXrp/Og0MTGCjMgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxNjMgPj4Kc3RyZWFtCngBPY9LC8IwEITv/oo56iXNs2uuvsCbhYDnElKs2JSagPjvXURkFpbZj1mYBR0WkAZJK4yxBKuN8FZZKCfa1mnCM+GKjGZfFGKBRImckcKTl+QdH1h/R63Yemf5IQlNehUn7AJzKaVCiFDmG/itMKEJQYHRgHW4jQU8PWoqFZfDSeBcEedc+zEXzPnxZjikF0rKNeWYitiswh3HwEW6D+SeMysKZW5kc3RyZWFtCmVuZG9iagoxIDAgb2JqCjw8IC9UeXBlIC9QYWdlIC9QYXJlbnQgMiAwIFIgL1Jlc291cmNlcyA0IDAgUiAvQ29udGVudHMgMyAwIFIgL01lZGlhQm94IFswIDAgNjEyIDc5Ml0KPj4KZW5kb2JqCjQgMCBvYmoKPDwgL1Byb2NTZXQgWyAvUERGIC9UZXh0IF0gL0NvbG9yU3BhY2UgPDwgL0NzMSA1IDAgUiA+PiAvRm9udCA8PCAvVFQxIDYgMCBSCj4+ID4+CmVuZG9iago3IDAgb2JqCjw8IC9OIDEgL0FsdGVybmF0ZSAvRGV2aWNlR3JheSAvTGVuZ3RoIDMzODUgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBpVcHXFNX2z8392awwp4ywkaWAWXLiMwAsofgIiaBhBFiIAiIi1KsYN3iwFHRoqhFqxWBOlGLVurGrS/UUkGpxVpcWH2fm4DC2/7e7/t+X+7vcP/nOeNZ//PcA0LaW3hSaS4FIZQnKZSFJ3DSpqWls+j3EQMZIk3kijR5/AIpJy4uGqYgSb5ESL7H/l7eRBgpue5C7jV27H/sUQXCAj7MOgWtRFDAz0MIm4wQw4QvlRUipDIN5NbzCqUkLgOsl5OUEAx4FcxRH14LYmQRLpQIZWI+K1zGK2GF8/LyeCx3V3dWnCw/U5z7D1aTi/4/v7xcOWk3+bOApl6QkxgFb1ewv0LACyGxL+BDfF5oImBvwP1F4pQYwEEIUWykhVMSAEcCFshzkjmAnQE3ZsrCkgEHAL4rkkeQeBJCuFGpKCkVsAng6Jz8KHKtFeBMyZyYWMCgC/+CXxCcDtgBcJtIyCVzZgP4iSw/gZzjiBDBFAhDQgGDHYS3uJCbNIwrC4oSSTnYSdwoFQWTdoIuqno2LzIOsB1gO2FuOKkX9qFGSwvjyD2hTy2S5MaQuoIAnxcWKPyFPo1RKEqKALk74KRCWRK5FuyhVWaKw7iAwwDvFckiSDn4SxuQ5ip4BjGhu/JkoeEgh5jQi2XyBDIO4CN9l1CSTMYTOEJ/iFIwHhKifDQH/vKRBHUjFipAYlSkQFmIh/KgscACZ2jhMEsCTQYzClAOyLMA93wcJ/vkCnKNC5LCWD7KhLm5sHJEzkIC2EG5ktwlHxrZI3fuVezMH9boChqDzb9GchgXoX4YFwGairoUkmKwMA/6wSCVw1gW4NFa3IFJ7ihOYa3SBnKc1NI3rCUfVggUupTrSD+VtgWDzRJUCmOkbQrfCUOCTUyE5kdEE/4EW6FNBjNKkItCPlkhG9H6yXPSt76PWueCraO9Hx2xkSifhngVws654KFkOD4FYM07sDtnePWnaCo0rjKRO0ilNSviubPqwV7wvFw2W8y/vHKgveyYEWLdXH7qAmLt12o5r/CHjAyrk2iecV29vey/ZPVTNkdsG5vV2NG8UTBJ8DfegC7qNeoV6kPqDcSC9y/UTmovoHvU+/Dc+WjPpxyQnBKDXMkJJdv4GK6YSbKQA5HJVYzmQTTITAkVeQqHdTyIbwFETw68I3PtAgwYnYuxDCF3Gz1OMkKpPQv2VfY+MZ6vkJAMIfWTbPl7fP4vJ2TU+ciUrDKRSmfVlw0Jpcr8kbkTLo15GYPKndkH2f3sXez97Bfsh4ooKPLHvsX+jd3J3gEjT/G1+BH8ON6Ct+IdiAW9Vvw03qJA+/Fj8Hz7cd3YE6GM8dgTQfKTP3wCSO8Lhzk4+qyMrgpkPsh9yGyQ80dimD18skdzlYz4aA6RsfzfWTQ61mMriDL7ilPKtGa6MelMR6YHk8PEmJbwuDODAFkzrZjRTEMYjWDaM0OY4z7GYyRjuSAhGUQy7xMXlXUvDawcYRrpnwiyL1NUOd6wv//pI2uMl2QFFI8+Z5gGnGSlJmUNGdE5EldFhsdU0GTQJEbzwA4ZxJWsDhKoPawxc8jaTVYtYDw2XZHDf+AozZdmTwul2cNaZbVi0UJoEbQwxKK5kXLaBFokYB9yFmFOuBFcqHqxiEVwCA8iaBiTlXAyPGQdVMbIhQiE0QAihPAma+Rob8ESZWzJavnPno4+hXDXKBQWw30FoeB8aYlMnCUqZHHgZiRkcSV8V2eWO9sNvojkPYucg9CLeMX9CTPo4MtlRUoZQb6oSBXuYHrIGJkja/iqu4CtXsgPvrOhcG+IRUkoDc0C60SQSxnEtgwtQZWoGq1C69FmtB3tQg2oER1CR9ExdBr9gC6iK6gT3YMvUA96igbQSzSEYRgd08B0MWPMArPFnDB3zBsLwEKxaCwBS8MysCxMgsmxMuwzrBpbg23GdmAN2LdYC3Yau4Bdxe5g3Vgf9gf2loJT1Cl6FDOKHWUCxZvCoURRkigzKVmUuZRSSgVlBWUjpY6yn9JEOU25SOmkdFGeUgZxhKvhBrgl7oJ748F4LJ6OZ+IyfCFehdfgdXgjVIF2/DrehffjbwgaoUuwCBfITQSRTPCJucRCYjmxmdhDNBFnietENzFAvKdqUE2pTlRfKpc6jZpFnUetpNZQ66lHqOegavdQX9JoNAPghRfwJY2WTZtPW07bSjtAO0W7SntEG6TT6cZ0J7o/PZbOoxfSK+mb6PvpJ+nX6D301ww1hgXDnRHGSGdIGOWMGsZexgnGNcZjxpCKloqtiq9KrIpApURlpcoulVaVyyo9KkOq2qr2qv6qSarZqktUN6o2qp5Tva/6Qk1NzUrNRy1eTay2WG2j2kG182rdam/UddQd1YPVZ6jL1Veo71Y/pX5H/YWGhoadRpBGukahxgqNBo0zGg81XjN1ma5MLlPAXMSsZTYxrzGfaapo2mpyNGdplmrWaB7WvKzZr6WiZacVrMXTWqhVq9WidUtrUFtX2007VjtPe7n2Xu0L2r06dB07nVAdgU6Fzk6dMzqPdHFda91gXb7uZ7q7dM/p9ujR9Oz1uHrZetV63+hd0hvQ19GfpJ+iX6xfq39cv8sAN7Az4BrkGqw0OGRw0+CtoZkhx1BouMyw0fCa4SujcUZBRkKjKqMDRp1Gb41ZxqHGOcarjY8aPzAhTBxN4k3mmWwzOWfSP05vnN84/riqcYfG3TWlmDqaJpjON91p2mE6aGZuFm4mNdtkdsas39zAPMg823yd+QnzPgtdiwALscU6i5MWT1j6LA4rl7WRdZY1YGlqGWEpt9xheclyyMreKtmq3OqA1QNrVWtv60zrddZt1gM2FjZTbcps9tnctVWx9bYV2W6wbbd9ZWdvl2q31O6oXa+9kT3XvtR+n/19Bw2HQIe5DnUON8bTxnuPzxm/dfwVR4qjh6PIsdbxshPFydNJ7LTV6aoz1dnHWeJc53zLRd2F41Lkss+l29XANdq13PWo67MJNhPSJ6ye0D7hPduDnQvft3tuOm6RbuVurW5/uDu6891r3W9M1JgYNnHRxOaJzyc5TRJO2jbptoeux1SPpR5tHn95ennKPBs9+7xsvDK8tnjd8tbzjvNe7n3eh+ozxWeRzzGfN76evoW+h3x/93Pxy/Hb69c72X6ycPKuyY/8rfx5/jv8uwJYARkBXwV0BVoG8gLrAn8Osg4SBNUHPeaM52Rz9nOeTWFPkU05MuVVsG/wguBTIXhIeEhVyKVQndDk0M2hD8OswrLC9oUNhHuEzw8/FUGNiIpYHXGLa8blcxu4A5FekQsiz0apRyVGbY76OdoxWhbdOpUyNXLq2qn3Y2xjJDFHY1EsN3Zt7IM4+7i5cd/H0+Lj4mvjf01wSyhLaE/UTZyduDfxZdKUpJVJ95IdkuXJbSmaKTNSGlJepYakrkntmjZh2oJpF9NM0sRpzen09JT0+vTB6aHT10/vmeExo3LGzZn2M4tnXphlMit31vHZmrN5sw9nUDNSM/ZmvOPF8up4g3O4c7bMGeAH8zfwnwqCBOsEfUJ/4Rrh40z/zDWZvVn+WWuz+kSBohpRvzhYvFn8PDsie3v2q5zYnN05H3JTcw/kMfIy8lokOpIcydl88/zi/KtSJ2mltGuu79z1cwdkUbL6AqxgZkFzoR78U9ohd5B/Lu8uCiiqLXo9L2Xe4WLtYklxR4ljybKSx6VhpV/PJ+bz57eVWZYtKetewFmwYyG2cM7CtkXWiyoW9SwOX7xnieqSnCU/lbPL15T/+VnqZ60VZhWLKx59Hv75vkpmpazy1lK/pdu/IL4Qf3Fp2cRlm5a9rxJU/VjNrq6pfrecv/zHL92+3PjlhxWZKy6t9Fy5bRVtlWTVzdWBq/es0V5TuubR2qlrm9ax1lWt+3P97PUXaibVbN+gukG+oWtj9MbmTTabVm16t1m0ubN2Su2BLaZblm15tVWw9dq2oG2N2822V29/+5X4q9s7wnc01dnV1eyk7Sza+euulF3tX3t/3VBvUl9d/9duye6uPQl7zjZ4NTTsNd27ch9ln3xf3/4Z+698E/JNc6NL444DBgeqD6KD8oNPvs349uahqENth70PN35n+92WI7pHqpqwppKmgaOio13Nac1XWyJb2lr9Wo987/r97mOWx2qP6x9feUL1RMWJDydLTw6ekp7qP511+lHb7LZ7Z6aduXE2/uylc1Hnzv8Q9sOZdk77yfP+549d8L3Q8qP3j0cvel5s6vDoOPKTx09HLnlearrsdbn5is+V1quTr564Fnjt9PWQ6z/c4N642BnTefVm8s3bt2bc6rotuN17J/fO87tFd4fuLYaLfdUDrQc1D00f1v1r/L8OdHl2He8O6e74OfHne4/4j57+UvDLu56KXzV+rXls8bih1733WF9Y35Un05/0PJU+Heqv/E37ty3PHJ5993vQ7x0D0wZ6nsuef/hj+QvjF7v/nPRn22Dc4MOXeS+HXlW9Nn695433m/a3qW8fD817R3+38a/xf7W+j3p//0Pehw//BgkP+GIKZW5kc3RyZWFtCmVuZG9iago1IDAgb2JqClsgL0lDQ0Jhc2VkIDcgMCBSIF0KZW5kb2JqCjIgMCBvYmoKPDwgL1R5cGUgL1BhZ2VzIC9NZWRpYUJveCBbMCAwIDYxMiA3OTJdIC9Db3VudCAxIC9LaWRzIFsgMSAwIFIgXSA+PgplbmRvYmoKOCAwIG9iago8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4KZW5kb2JqCjYgMCBvYmoKPDwgL1R5cGUgL0ZvbnQgL1N1YnR5cGUgL1RydWVUeXBlIC9CYXNlRm9udCAvQUFBQUFCK0NvdXJpZXIgL0ZvbnREZXNjcmlwdG9yCjkgMCBSIC9FbmNvZGluZyAvTWFjUm9tYW5FbmNvZGluZyAvRmlyc3RDaGFyIDMyIC9MYXN0Q2hhciAxMjEgL1dpZHRocyBbIDYwMAowIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDYwMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCA2MDAKMCA2MDAgMCAwIDYwMCAwIDAgMCAwIDAgMCA2MDAgMCAwIDAgNjAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDYwMCAwIDYwMAowIDYwMCA2MDAgMCA2MDAgNjAwIDAgMCA2MDAgMCA2MDAgNjAwIDAgMCAwIDYwMCA2MDAgMCAwIDYwMCAwIDYwMCBdID4+CmVuZG9iago5IDAgb2JqCjw8IC9UeXBlIC9Gb250RGVzY3JpcHRvciAvRm9udE5hbWUgL0FBQUFBQitDb3VyaWVyIC9GbGFncyAzMiAvRm9udEJCb3ggWy02NTUgLTQwOSAxMDYzIDEwOTBdCi9JdGFsaWNBbmdsZSAwIC9Bc2NlbnQgNzU0IC9EZXNjZW50IC0yNDYgL0NhcEhlaWdodCA1ODcgL1N0ZW1WIDc2IC9YSGVpZ2h0CjQ1NyAvU3RlbUggNzAgL01heFdpZHRoIDgyMyAvRm9udEZpbGUyIDEwIDAgUiA+PgplbmRvYmoKMTAgMCBvYmoKPDwgL0xlbmd0aDEgOTI2OCAvTGVuZ3RoIDU0MDggL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBpZoLcFPXmcfPla5kG9nGsmULkGXpWrq6eoFsg43BCYHEvJOUvIjNNuURMCYNSQgQYDKZhtkSAlvabTvlkYZsl6YEOtnWS7NgbNpkm02azLYbOrslMEOmm06TJp1uNtOmaZKC2N93ryQLp7OzM2vmr/PQ1adzvu//Pc4RWx7cuk7VqEeVWy1bsfqBAWX/tX5JKe3Y3RtXP+CM3edpf3r3Q1uizlh7n7Zl4IH1G52xq47nN6+/d0fh8/pZpcLLBtetXuu8ry7Rdg0y4Yy1GbTxwY1btjtj9xdpb7/3/rsL7+tPM85uXL298P3qIuPofas3rnOeb71Xxg/cv3lLYRylvfGBB9cVntf6GO9XGq+Nap5y0bJA+3WCYuhOlmaY9T4yY9HKidf8UZtcaU9/e6fT/nJC6BefvHhppHJn5Sne8BYk2JK8lXke8u7/5MVPfly5s/SO/XleGoeVyqgR5t3KldFGlO50nqezVM1WOdWqmniuMvO88qiVaom6VmVLM17WXP6Meh5By3io/GOuT33MrRZd/bERVcH3VWRYTHT+Ixsm9fKNabVPbVOH1QFev8fYyG9Syv2kmqIfUYZSPJpdOqy8y/r+UdO+3D+sXdk1rHrDp9m9e+Xnpg4rLRuNzt/QO6StYuDKMpE26Lmz0QVDbnPBrX2x/uje6N7Fa/dGF0QHV68d0k275Y11e/tz0SF1W98GXm/vM4bm9odK3XX9/bORo4scPsLje/uRcE9BAq09lbvMQ57s0uiQO7Gs75a+oUd7Q0Nze/tDhhGdP/TCsr6hF3pDRn8/T3lLK2XFsntnzRWs2Zvm/UpHym19Q3NDQ6p/716ReVtfzBh6dO/e0F72URgPqxfGTWhq/MTcwgSaQAaamD+sPboMYTQxIyQTMSNmsM7+Xr67Krv0tr75rNTon6r0n6kBQKsdoV0DPgt+BPoK/d20q4A8dwasBUfBCBgEK8AJwPNXfkc7C8tq/JO/amz3I9qoWlGYsac/9eJ4yaem/+KEm1ndfsdz1fvewqjiqtnygbhWFZigfLxWE3vkrxZMVEQR+8+v6u22gdeA3ZsNsY9qX3KtcL3sHtSbPc3eeu+Ziusrp1Q+Xnm+6scTDlZPqH625kztMZx7IL9fH/A8jcNVqIWYOQdhQGUd3D4LZFx3mrc9HzCip9s9N+9XXVSjDEUTemaU1oXu9Exbe4Pf8JuG3xjQ1aXN7tClt/L7K2o/+v2D3pQsT9OOXPm9O6MtZ0/PjvARPCozz8MelZoCXJvmhWyTLGbQDzaAHWAPOASOg9PgVXABvAs+BjV3iUPO72NludBp9FYxpx+GXUTcTDawENwJ1oNtYDc4AJ4Bp8BPwOvgN+BPoOYuFoUjE2gIS5va2s0ZXdM7mhoD3lhrQjuy8c7+ezf29d379M1r1yxbtmYNu19z5ZK+lchQrbLaklFW5MU0opo4PVENAn9L5xPgumtekF161WLQDzaAHWAPOASOg9PgVXAB+O5y9N+kdCxRj/5D2CdOO+1icd8tsu8WVSP7thURlYlo2USNTNQ4mrGfmCgTE8sm0jKRdiZqsDcG4/vcfFeUURUjdvEunY+BvYtuOotAHxgE28Hj4CA4BobBK+A8kF1UI6saXgmHGuk30m+ibaKtZi5IP0h/Eu2kHHpv0aZ3dHXOSMRavRX+jNaa6JzR1aP5MYN03B3KH/BW1Gpilm3R61o+fOvty7n2xqemmmbmmvq6a6aaVuapNz7WknfcsvT144GV+9zui//13gWX+8/vxeNWi3tXNGnG8s/n/3vXr5ffvNB2VE19FlJ/Flt2a55R1S36ty05jQSUtHthqB+jN6y60UudbRX94rDysQPZVTetSZuk7aQN084uWWqSaHlSmWEqZKJC1D6qLAjXYYuuKBmgFhETQR2YxKzfNsskhEYvYpAqrDwZ2M7TTWcR6AODYDt4HBwEx8AweAWcB++Aj0ANhvEjLY58WbbFd3Qp1wenyczuDzBCgfqGo3RXQfvTDTwC9aP7azVcHoPwYFgrzbg+Z6UT8dZ8Q2vcyhnXXXdjJt7q3toai7WmWy6/qVU2x6PhUGu8Of/RPiMeM82YGXXviqRiZsrK52Ox7E1fyX9/yuKORDrfkehYHM7PJyoTn/VabNOqto7yosNfPVP0gaAoMlim2ckyMblswisT3jLKV8pEpTPh/ZTGg8zU2dqOohfjLLpwooBRIGCJiZrhKCmj+d37b8pkbrr897l4InvTr361dFoiMdW1Mhc3py791b5wMhWJx5Nh2agZi8dTkUsPS6HVV+BcJRT72QgvDUTGUVjmhXXCNOGSOmtHEQ9RxFOMIh6iiIco4iGKeIgiHqKIhyjiIYp4iCIeooiHKOKx/S/JhoI2X6vhawMym9lYjDZd4mdEVBIpU9pYnJBIr6mEvaBISVsT6UlwcFxZXFghUFx4MhrT/AUPbiio7moftlkU8KI37Uejh588/GRTezbdkw+2woidC/qgjPbaHy598sfv6/X5ti1bN2+59LART0ZNWOSQ5cypUyP51ySLi99ughvt6sKw6iCKpFlCmjbHcnLsN22389xqFQWidhcdkpzSNtFZWZz5z2LnW8XOo3YHLSFBtNVsS5RgK9FYZLYUZLfzbjvvij6nl/RZiLtjkTkhCk6MhdlmW3cJtNhS4tpURE0DOdCMuDbadrTZYMe6zrauzoY5mugu2BBo6rRdznIb/h7tKiW7/Mb7rsjUWMw1wRVPuNcl4prPlUgkW1wT8m8+YXvn5dds73wi/6a7dmnKjEfqtCWmYZj5k/VRLR5LLdV00XjRPYWru6/8Rt/tfo5c16kNDqsudjwFSM3QxVIbaBty4mb6ByS6LjoLwHIwAB4Cj4H94Cg4CV4G54BP8u5bdP4IXISlKcirQV4N8r30xQ2j8n0oK2Xrf2ZJzwW1+koZsE70XFfm7O0y0S4To2R2Tjc2kets+rplrTPh8UJwJ1gPtoHd4AB4BpwCPwGvA3utb9P5ELjuGiG11qkqf/2sYSWmDGNKO1uGyZbhYrYME5zDOHuY4BwmOIcJzmGCc5jgHCaMhQnOYYJz2PbWKnYsHM6IG00jyXkbA03iTUGHBXbADTrZ0QlIEoTwN6lUJFla7t6Z66c/ceL+5V+4UHnrPw9849QfLs5+aM59W25+IRJOvPHs0HPtC9uSycPNca82Uu8f7Ovt27XotSU3H9311Pcm1lVsvu/2nNlz6w++n+9pseLx1ij+gp+twv5TsX9WGxil7PSStKhvxNIBLB3A0gEsHcDSASwdwNIBLB3A0gEsHcDSgaKlA1g6gHKKEVwXC+lqzIaFkmRsIi5PxB2jptGznxRl69mPnv1FPfvRsx89+9GzHz370bMfPfvRs58v86NnP3r2sxA5fKaV37acjsZ9TlL1kTh8xaTqQ54PeT7k+ZDnQ54PeT7k+ZDnQ54PeT6Sqo+k6rOTapz1BWV9wqwgzArCrCDMCsKsIMwKwqwgzArCrCDMCsKsYJFZQZgVZEPY/qrUapUxYWbXTKcw1WOtqnOGwvTuryfIMYlEyGpu29P/5IujX79hR1dDdJ4ZsfK/OHYh/0stev7GQ+5VuhFpWzpimpH2W24b/to3fmia1ZM7rchnvqM1nT2rBVNia5cawNYr3CdVs4qpN8bqWifEh+FmOFe0XaNYprHMduV5A3dAniQyyRZucQ5Ryv+9NC+4mxulUJLbBbFTBjcizyg6mwEJjCIJDIxmYDQDoxkYzcBoBkYzMJrBqg2MZmA0A42jZCk1447v2BWlo09lu5Jp2ErXApU/+OZWLRBuSaanrf3Fhl/n39Na3/13rSk3OPHyOtffTDz+8K6T2pG/PfxIojncFmyfoVVceEOrv6JOdif+ettXuSwS/zmDIno8ESLRYyO8TCDTE9zZRq0d0SbAQYmhtbTFeridvsWcVdL2WCUzqkKoJI5yR+GLZldEEi2L9bvETykhQ7ai3OSsINKSzEykzZUVNVdn5p4C7ZxTD8EnrEnFR64x/O4nUpmUdflBef3u06mp6eRT//b2A5+fFq/f075pjbYmlckm8ke/EqfCifPiujtBr/efvt3RGUlOWnnfLIKJdfkwi12LLh72hNUsrWmUctNLEJF9SFSJ2HTJ2PuQTCu5xcOq5YyaoS9nCTmV5pT3A4m+5HLbhwPMUZ1Tvk7inWEV4NmeUpYoJIWxgBIS2obKskSHTHQ4WaKSJbrsdXTY65AiR/IFZboTdSwIZxUJZ0E4C8JZEM6CcBaEsyCcBeEsCGdBOAvCWXbUkXxh2SuWcinAbuTs0ApiIAOy2GZm8awjmd1Pzh+L8LFCQa757fNRMfAXpqe/19A7PWUdDLUs/spNB/4h15FNJvMf5ozUrNg969Z/M3ZN2sjlP7SsXO8+XUWT8XhTQ76nd96Zo/keA6NFUsmw9q2tD+8dyK9qsZyiFVUcxV7LPKsIcJZaP8JL1GavHBk486Id6YXQfjEqxESbsbKo0CATDY563RC3ylZvAx+rtqufKWxcjrcxZqQywjPLDt8NRQraXJ1ulJ9FXBOsuXOS5ry51mltnmXGcpc+SibTaa39xVQmmdTMUEQ/c293rm95KnGpxqD0hpqtrp2UkrGmBgw9wt6uhYshtWSExRC58ctqe2fCPzmf6iUelW9DWMJneXr8Nlh8ITHLuv3jFu+KfXd1e8rSloRatNkccXOX0TQLbtT3RVJikD8fKi5T4sYg3/EF8m6P1jPKJaiXs6n4SiO9qP3t2dJa5QRa9JUsfYkB4itttq/IJVKbzTwJnkQOfGWybb1Gnr22tMfC4WjMVyaI7biQKpVYfpkgiZYmmmWiucybpsvE9LKJTpnolIligJrAIpKcN+00nsShGMgVSTedRaAPDILt4HFwEBwDw+AVcB5IGq9lacmSQ4kzydWCOJOcbLNgarlDueSwepVDjd0vXOVQGZdDtt/jUOlcbtWYR+WueWNuPD0bhxp4EoeKLzjZlUrhUK6d3CsYTQ29RX+yjJa01TLmT+mWmJmkKlQryK+b3Sfwp6B2h9x5cDeSQxG/xTM+sTMdiphFZzHoBxvADrAHHALHwWnwKrgA5JZFrgbq2W49VXgVdkVEF50FYDkYAA+Bx8B+cBScBC+Dc6BQhVdRm0llK7c14pzi3ZNL3Phfsr1jV750JjxbCO4E68E2sBscAM+AU+An4HVQyO+K/E7dwZcKNfklwWGFF1YULs7kQmYR6AODYDt4HBwEx8AweAWcB5LXzeL9EbWzFlDFOkm5Bp546eVDh176F9cz+YvvvpO/qMXfeUczN7944MBLLx04+GNtxbn8+1rduXPaxPz7rElTJ668qwfxv7muzmE1D0vVgnnoWqgmN1lyApJbU1l6Dq+y9Z5D7zn0nkPvOfSeQ+859J5D7zn0nkPvOfSeK+o9h95ztgoqkVfpsKEWNtQ6bjGLzmLQDzaAHWAPOASOg9PgVXABCBtqWU2nbb3rS9Yr3EGN+W3h+nBsolvctLvMb+fIxByZGCU7uvF6CXhz2L7uXLPq2FrH1jq21rG1jq11bK1jax1b69hax9Y616w616x68ZpV5zDGXfIm5zqNmtupDX3I8yHPhzwf8nzI8yHPhzwf8nzI8yHPV+SOD+7wabbcwqpMp4w3iWxmsYw3YY4Jc0yYY8IcE+aYMMeEOSbMMWGOCXNMyniTMt60y3i5c8sW41MWJjJw4lMWeVnkZZGXRV4WeVnkZZGXRV4WeVnkZW0mzrTL+GBTUCpNudQsxBtSOmNenbszK1Gq8HnSqb4s+8B3wjBTk+pq0k/ffc+j6x+Z+dNzP//hTd/SfXNaWo1orCUbCXRuv+Vzmx968ewL//HcrC/dE+vwx8xFJ7KJ7lZ/17zlCxZe8+XdX/xaxuro2NqZmx6rb8/cNve6Lt2ze9/uI42Tg8F2ON535T19jT5Covih/CgWs3OgXEU6tx1Sg4pyU7QVtHI9UUnbdpbd2pfKWaFJtuz2qHApB2/QB496Lxbjvtyu+cTDJVL8P6wtFwMRFiKXA1JKJeS4XKxU7QNzWVUvyr127NruWqe4CGvube1T0+n85+9Y/1f5lmarvWfN4flb/84K+L+bTsy4Y5NpZVvda1upFfInnh68Jxk22oNWfOmS2Kq1Ee1m7NLys85MqqP/X5V25XdX3tB/zi+FszUo3UM8SIEeFiYVa7X48wQuL6aAwu8dKfw5hT+n8OcU/pzCn1P4cwp/TuHPKfw5hT+nuHxPwb+UTcsUEtsuUrQQm51sLhVKgzhjFwXWArAcDICHwGNgPzgKToKXwTnwNvgQ2L95eOg0AtemERZYrRpIpyMURMVejO+W7xqhanB6rIFvvaYUWQqHvrFAUiDE2EThjG8TwqbMTKHMTIksshmudO0cLudECitJOqhtyllZhvPeiJT3haeKd9YJnpkudnfbnmK5y8ou+xeCjBZykn0wpBX9zinHKgofca3aOSGZjCfr3qpKm1ZC83Ulmvz+qdHZz+70Ja14qu6R70zKzG+Lz9CqI5F4x5s1lhVP12qX8maiJdHhumBYrfGINSmme/TLx7TnEi1We36Vq49CuiXemoi6LjfIFD42K79J3wc/ctqNaA9umEC0KGeAgMMPE/UXwtYsOotBP9gAdoA94BA4Dk6DV8EF8C74GMiVvonErM2PgMraKpWTUMjhRwh+hOBHCH6E4EcIfoTgRwh+hOBHCH6E4EcIfoTgR6jIjxD8CNn8iHBKC9lciNKTbxjhKG0Wvktcvb3EikIQGCNBUmxO2VYqHAs/glSNlYVyZp0IJEw4P3m0MIpAhCiRKWjvyGBGTkxyirWPRnI6LRxjG7gAk4jrWDmjVRVK8cIdaYUrlFk8g58apudMy7pwJP/V69s5JQS7Ex03mNpELWDNn5GY9aeUle2+ovhVIh7lCky7zvVaNBmLRaxk9PIFlxVNWpFYDOPKXYn9l/862vxLf41MSta0cJwsFfFM1YsNFmHapepG9Rl1i7oVe9zJb8/cY8OSeiB/XtK4mid/12duuH/rgxvWPVh4R96VZzkXkHsUuUeRexS5x/7vCeQeRe5R5DJFLlNaJZgEkqAbLAJ9YBBsB4+Dg1cKf3xGlfoaKr96PG3cWP7HRPnzC8aNF48bLxs3vn3cePW48d3jxvb/bylb38C499nTVevZMG4s/y+mfL33jRvfP268edzY/v80Zd8vpW25vB0y/h8dLgetCmVuZHN0cmVhbQplbmRvYmoKMTEgMCBvYmoKPDwgL1RpdGxlICh0ZXN0KSAvUHJvZHVjZXIgKG1hY09TIFZlcnNpb24gMTUuNi4xIFwoQnVpbGQgMjRHOTBcKSBRdWFydHogUERGQ29udGV4dCkKL0F1dGhvciAoQWxla3NhbmRyIFplbGVuc2tpeSkgL0NyZWF0b3IgKFRleHRFZGl0KSAvQ3JlYXRpb25EYXRlIChEOjIwMjUwOTI5MjM0NzE5WjAwJzAwJykKL01vZERhdGUgKEQ6MjAyNTA5MjkyMzQ3MTlaMDAnMDAnKSA+PgplbmRvYmoKeHJlZgowIDEyCjAwMDAwMDAwMDAgNjU1MzUgZiAKMDAwMDAwMDI1NyAwMDAwMCBuIAowMDAwMDAzOTc5IDAwMDAwIG4gCjAwMDAwMDAwMjIgMDAwMDAgbiAKMDAwMDAwMDM2MSAwMDAwMCBuIAowMDAwMDAzOTQ0IDAwMDAwIG4gCjAwMDAwMDQxMTEgMDAwMDAgbiAKMDAwMDAwMDQ1OCAwMDAwMCBuIAowMDAwMDA0MDYyIDAwMDAwIG4gCjAwMDAwMDQ0OTkgMDAwMDAgbiAKMDAwMDAwNDczMSAwMDAwMCBuIAowMDAwMDEwMjI3IDAwMDAwIG4gCnRyYWlsZXIKPDwgL1NpemUgMTIgL1Jvb3QgOCAwIFIgL0luZm8gMTEgMCBSIC9JRCBbIDxhZjQ4NGFiNjFjZjJjY2JjZjk0MmIzMjM3NDM4YWE3ZT4KPGFmNDg0YWI2MWNmMmNjYmNmOTQyYjMyMzc0MzhhYTdlPiBdID4+CnN0YXJ0eHJlZgoxMDQ1NQolJUVPRgo=",
+          "filename": "test-document.pdf"
+        },
+        {
+          "type": "input_text",
+          "text": "What is in this document?"
+        }
+      ]
+    },
+    {
+      "id": "rs_04df2acaddbe6c1300690bc356a0cc8196ba7b6792a2d630d4",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_04df2acaddbe6c1300690bc356b46081969b48f3968af2ddd8",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "It’s a test PDF that contains only a few sentences. If you’d like, you can share the text or a page image and I’ll summarize or analyze it."
+        }
+      ],
+      "role": "assistant"
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ],
+  "max_output_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/responses/followup-response-streaming.json b/payloads/snapshots/documentInputBase64Request/responses/followup-response-streaming.json
new file mode 100644
index 00000000..14f92d8e
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/responses/followup-response-streaming.json
@@ -0,0 +1,1250 @@
+[
+  {
+    "type": "response.created",
+    "sequence_number": 0,
+    "response": {
+      "id": "resp_04df2acaddbe6c1300690bc3582fa48196b1c7946e613a492e",
+      "object": "response",
+      "created_at": 1762378584,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.in_progress",
+    "sequence_number": 1,
+    "response": {
+      "id": "resp_04df2acaddbe6c1300690bc3582fa48196b1c7946e613a492e",
+      "object": "response",
+      "created_at": 1762378584,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
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+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": {
+        "input_tokens": 79,
+        "input_tokens_details": {
+          "cached_tokens": 0
+        },
+        "output_tokens": 106,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 185
+      },
+      "user": null,
+      "metadata": {}
+    }
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/responses/followup-response.json b/payloads/snapshots/documentInputBase64Request/responses/followup-response.json
new file mode 100644
index 00000000..3ca29dd5
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/responses/followup-response.json
@@ -0,0 +1,74 @@
+{
+  "id": "resp_04df2acaddbe6c1300690bc357b6a0819687721958ea91cf80",
+  "object": "response",
+  "created_at": 1762378584,
+  "status": "completed",
+  "background": false,
+  "billing": {
+    "payer": "developer"
+  },
+  "error": null,
+  "incomplete_details": null,
+  "instructions": null,
+  "max_output_tokens": 300,
+  "max_tool_calls": null,
+  "model": "gpt-5-nano-2025-08-07",
+  "output": [
+    {
+      "id": "rs_04df2acaddbe6c1300690bc35866a48196a3f7066a8bb96e85",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_04df2acaddbe6c1300690bc358829c81969d0cfe09deabd705",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Here are a few options you can consider next:\n\n- Paste the text: Copy and paste the sentences from the PDF, and I’ll summarize, analyze, or extract key points.\n- Share an image/page: Upload a page image (or a few) and I’ll describe or summarize what’s visible.\n- Tell me your goal: Let me know if you want a summary, keywords, tone analysis, or to convert to another format (plain text, outline, etc.).\n- If you want extraction: I can pull out specific elements like names, dates, numbers, or any defined entities.\n\nHow would you like to proceed?"
+        }
+      ],
+      "role": "assistant"
+    }
+  ],
+  "parallel_tool_calls": true,
+  "previous_response_id": null,
+  "prompt_cache_key": null,
+  "prompt_cache_retention": null,
+  "reasoning": {
+    "effort": "minimal",
+    "summary": null
+  },
+  "safety_identifier": null,
+  "service_tier": "default",
+  "store": true,
+  "temperature": 1,
+  "text": {
+    "format": {
+      "type": "text"
+    },
+    "verbosity": "medium"
+  },
+  "tool_choice": "auto",
+  "tools": [],
+  "top_logprobs": 0,
+  "top_p": 1,
+  "truncation": "disabled",
+  "usage": {
+    "input_tokens": 79,
+    "input_tokens_details": {
+      "cached_tokens": 0
+    },
+    "output_tokens": 132,
+    "output_tokens_details": {
+      "reasoning_tokens": 0
+    },
+    "total_tokens": 211
+  },
+  "user": null,
+  "metadata": {},
+  "output_text": "Here are a few options you can consider next:\n\n- Paste the text: Copy and paste the sentences from the PDF, and I’ll summarize, analyze, or extract key points.\n- Share an image/page: Upload a page image (or a few) and I’ll describe or summarize what’s visible.\n- Tell me your goal: Let me know if you want a summary, keywords, tone analysis, or to convert to another format (plain text, outline, etc.).\n- If you want extraction: I can pull out specific elements like names, dates, numbers, or any defined entities.\n\nHow would you like to proceed?"
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/responses/request.json b/payloads/snapshots/documentInputBase64Request/responses/request.json
new file mode 100644
index 00000000..44a37853
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/responses/request.json
@@ -0,0 +1,23 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning": {
+    "effort": "minimal"
+  },
+  "input": [
+    {
+      "role": "user",
+      "content": [
+        {
+          "type": "input_file",
+          "file_data": 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",
+          "filename": "test-document.pdf"
+        },
+        {
+          "type": "input_text",
+          "text": "What is in this document?"
+        }
+      ]
+    }
+  ],
+  "max_output_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/responses/response-streaming.json b/payloads/snapshots/documentInputBase64Request/responses/response-streaming.json
new file mode 100644
index 00000000..70c6342d
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/responses/response-streaming.json
@@ -0,0 +1,830 @@
+[
+  {
+    "type": "response.created",
+    "sequence_number": 0,
+    "response": {
+      "id": "resp_0c39d8522dec985300690bc355ee088193a3c98d1bf3e8b664",
+      "object": "response",
+      "created_at": 1762378582,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.in_progress",
+    "sequence_number": 1,
+    "response": {
+      "id": "resp_0c39d8522dec985300690bc355ee088193a3c98d1bf3e8b664",
+      "object": "response",
+      "created_at": 1762378582,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
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+    "sequence_number": 61,
+    "item_id": "msg_0c39d8522dec985300690bc3568bd081939b17138f088617c4",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " the",
+    "logprobs": [],
+    "obfuscation": "O42OOmj4Ovp5"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 62,
+    "item_id": "msg_0c39d8522dec985300690bc3568bd081939b17138f088617c4",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " document",
+    "logprobs": [],
+    "obfuscation": "QkIow7T"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 63,
+    "item_id": "msg_0c39d8522dec985300690bc3568bd081939b17138f088617c4",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": ".",
+    "logprobs": [],
+    "obfuscation": "ks39eNXLGmg6rYt"
+  },
+  {
+    "type": "response.output_text.done",
+    "sequence_number": 64,
+    "item_id": "msg_0c39d8522dec985300690bc3568bd081939b17138f088617c4",
+    "output_index": 1,
+    "content_index": 0,
+    "text": "I can’t view the actual PDF yet, but you mentioned it contains only a few sentences. If you’d like, you can upload the file here or paste the text, and I’ll summarize or analyze it. Alternatively, you can tell me any specific questions you have about the document.",
+    "logprobs": []
+  },
+  {
+    "type": "response.content_part.done",
+    "sequence_number": 65,
+    "item_id": "msg_0c39d8522dec985300690bc3568bd081939b17138f088617c4",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": "I can’t view the actual PDF yet, but you mentioned it contains only a few sentences. If you’d like, you can upload the file here or paste the text, and I’ll summarize or analyze it. Alternatively, you can tell me any specific questions you have about the document."
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 66,
+    "output_index": 1,
+    "item": {
+      "id": "msg_0c39d8522dec985300690bc3568bd081939b17138f088617c4",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "I can’t view the actual PDF yet, but you mentioned it contains only a few sentences. If you’d like, you can upload the file here or paste the text, and I’ll summarize or analyze it. Alternatively, you can tell me any specific questions you have about the document."
+        }
+      ],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.completed",
+    "sequence_number": 67,
+    "response": {
+      "id": "resp_0c39d8522dec985300690bc355ee088193a3c98d1bf3e8b664",
+      "object": "response",
+      "created_at": 1762378582,
+      "status": "completed",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [
+        {
+          "id": "rs_0c39d8522dec985300690bc35668a481939f35894dae805282",
+          "type": "reasoning",
+          "summary": []
+        },
+        {
+          "id": "msg_0c39d8522dec985300690bc3568bd081939b17138f088617c4",
+          "type": "message",
+          "status": "completed",
+          "content": [
+            {
+              "type": "output_text",
+              "annotations": [],
+              "logprobs": [],
+              "text": "I can’t view the actual PDF yet, but you mentioned it contains only a few sentences. If you’d like, you can upload the file here or paste the text, and I’ll summarize or analyze it. Alternatively, you can tell me any specific questions you have about the document."
+            }
+          ],
+          "role": "assistant"
+        }
+      ],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "default",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": {
+        "input_tokens": 29,
+        "input_tokens_details": {
+          "cached_tokens": 0
+        },
+        "output_tokens": 64,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 93
+      },
+      "user": null,
+      "metadata": {}
+    }
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/documentInputBase64Request/responses/response.json b/payloads/snapshots/documentInputBase64Request/responses/response.json
new file mode 100644
index 00000000..e8b343f3
--- /dev/null
+++ b/payloads/snapshots/documentInputBase64Request/responses/response.json
@@ -0,0 +1,74 @@
+{
+  "id": "resp_04df2acaddbe6c1300690bc35606188196bed06fab9289463d",
+  "object": "response",
+  "created_at": 1762378582,
+  "status": "completed",
+  "background": false,
+  "billing": {
+    "payer": "developer"
+  },
+  "error": null,
+  "incomplete_details": null,
+  "instructions": null,
+  "max_output_tokens": 300,
+  "max_tool_calls": null,
+  "model": "gpt-5-nano-2025-08-07",
+  "output": [
+    {
+      "id": "rs_04df2acaddbe6c1300690bc356a0cc8196ba7b6792a2d630d4",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_04df2acaddbe6c1300690bc356b46081969b48f3968af2ddd8",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "It’s a test PDF that contains only a few sentences. If you’d like, you can share the text or a page image and I’ll summarize or analyze it."
+        }
+      ],
+      "role": "assistant"
+    }
+  ],
+  "parallel_tool_calls": true,
+  "previous_response_id": null,
+  "prompt_cache_key": null,
+  "prompt_cache_retention": null,
+  "reasoning": {
+    "effort": "minimal",
+    "summary": null
+  },
+  "safety_identifier": null,
+  "service_tier": "default",
+  "store": true,
+  "temperature": 1,
+  "text": {
+    "format": {
+      "type": "text"
+    },
+    "verbosity": "medium"
+  },
+  "tool_choice": "auto",
+  "tools": [],
+  "top_logprobs": 0,
+  "top_p": 1,
+  "truncation": "disabled",
+  "usage": {
+    "input_tokens": 29,
+    "input_tokens_details": {
+      "cached_tokens": 0
+    },
+    "output_tokens": 40,
+    "output_tokens_details": {
+      "reasoning_tokens": 0
+    },
+    "total_tokens": 69
+  },
+  "user": null,
+  "metadata": {},
+  "output_text": "It’s a test PDF that contains only a few sentences. If you’d like, you can share the text or a page image and I’ll summarize or analyze it."
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/anthropic/followup-request.json b/payloads/snapshots/multiTurnRequest/anthropic/followup-request.json
new file mode 100644
index 00000000..ce75e69a
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/anthropic/followup-request.json
@@ -0,0 +1,31 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "max_tokens": 300,
+  "messages": [
+    {
+      "role": "user",
+      "content": "Hi, my name is Alice."
+    },
+    {
+      "role": "assistant",
+      "content": "Hello Alice! Nice to meet you."
+    },
+    {
+      "role": "user",
+      "content": "What did I just tell you my name was?"
+    },
+    {
+      "role": "assistant",
+      "content": [
+        {
+          "type": "text",
+          "text": "You told me your name was Alice."
+        }
+      ]
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/anthropic/followup-response-streaming.json b/payloads/snapshots/multiTurnRequest/anthropic/followup-response-streaming.json
new file mode 100644
index 00000000..c687d369
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/anthropic/followup-response-streaming.json
@@ -0,0 +1,285 @@
+[
+  {
+    "type": "message_start",
+    "message": {
+      "model": "claude-sonnet-4-20250514",
+      "id": "msg_01XX5GyZA35mb9RM4zAoj6CY",
+      "type": "message",
+      "role": "assistant",
+      "content": [],
+      "stop_reason": null,
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 58,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 1,
+        "service_tier": "standard"
+      }
+    }
+  },
+  {
+    "type": "content_block_start",
+    "index": 0,
+    "content_block": {
+      "type": "text",
+      "text": ""
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "That"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "'s a pretty"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " open-ended question! What"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " you should do next really"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " depends on what you're looking for."
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " Here are a few ways"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " to think about it:\n\n- **"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "If you have"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " a specific goal or task in"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " mind**, I"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "'d be happy to help you work through"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " it or brainstorm approaches"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "\n- **If you're looking for something"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " productive to do**, you might consider"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " tackling something"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " on your to-do list,"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " learning something new, or working"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " on a project\n- **If you"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " want to relax**,"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " you could read, listen"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " to music, take"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " a walk, or "
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "do something else you enjoy"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "\n- **If you're curious"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " about what I can help with**, feel"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " free to ask me questions, discuss topics"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " you're interested in, or explore ideas together\n\nWhat sounds"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " most appealing to you right now, or"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " is there something specific you had in mind?"
+    }
+  },
+  {
+    "type": "content_block_stop",
+    "index": 0
+  },
+  {
+    "type": "message_delta",
+    "delta": {
+      "stop_reason": "end_turn",
+      "stop_sequence": null
+    },
+    "usage": {
+      "input_tokens": 58,
+      "cache_creation_input_tokens": 0,
+      "cache_read_input_tokens": 0,
+      "output_tokens": 181
+    }
+  },
+  {
+    "type": "message_stop"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/anthropic/followup-response.json b/payloads/snapshots/multiTurnRequest/anthropic/followup-response.json
new file mode 100644
index 00000000..d252471b
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/anthropic/followup-response.json
@@ -0,0 +1,25 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "id": "msg_01N47iBgbu8ktFgNc8z98kq8",
+  "type": "message",
+  "role": "assistant",
+  "content": [
+    {
+      "type": "text",
+      "text": "That's a pretty open-ended question! What you should do next really depends on what you're looking to accomplish or what's on your mind. Here are a few possibilities:\n\n- If you have a specific task or project you're working on, you could continue with that\n- If you're looking for something productive, you might tackle items on your to-do list\n- If you want to learn something new, you could read, watch educational content, or explore a hobby\n- If you need to relax, you might take a break, go for a walk, or do something you enjoy\n- If you have questions or want to chat about something specific, I'm here to help with that too\n\nIs there something particular you're trying to decide between, or a specific area of your life you're thinking about?"
+    }
+  ],
+  "stop_reason": "end_turn",
+  "stop_sequence": null,
+  "usage": {
+    "input_tokens": 58,
+    "cache_creation_input_tokens": 0,
+    "cache_read_input_tokens": 0,
+    "cache_creation": {
+      "ephemeral_5m_input_tokens": 0,
+      "ephemeral_1h_input_tokens": 0
+    },
+    "output_tokens": 172,
+    "service_tier": "standard"
+  }
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/anthropic/request.json b/payloads/snapshots/multiTurnRequest/anthropic/request.json
new file mode 100644
index 00000000..a19102f8
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/anthropic/request.json
@@ -0,0 +1,18 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "max_tokens": 300,
+  "messages": [
+    {
+      "role": "user",
+      "content": "Hi, my name is Alice."
+    },
+    {
+      "role": "assistant",
+      "content": "Hello Alice! Nice to meet you."
+    },
+    {
+      "role": "user",
+      "content": "What did I just tell you my name was?"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/anthropic/response-streaming.json b/payloads/snapshots/multiTurnRequest/anthropic/response-streaming.json
new file mode 100644
index 00000000..37d1afa9
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/anthropic/response-streaming.json
@@ -0,0 +1,69 @@
+[
+  {
+    "type": "message_start",
+    "message": {
+      "model": "claude-sonnet-4-20250514",
+      "id": "msg_01JkgH5QTWPqVZ34vK8qWVBN",
+      "type": "message",
+      "role": "assistant",
+      "content": [],
+      "stop_reason": null,
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 38,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 2,
+        "service_tier": "standard"
+      }
+    }
+  },
+  {
+    "type": "content_block_start",
+    "index": 0,
+    "content_block": {
+      "type": "text",
+      "text": ""
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "You tol"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "d me your name is Alice."
+    }
+  },
+  {
+    "type": "content_block_stop",
+    "index": 0
+  },
+  {
+    "type": "message_delta",
+    "delta": {
+      "stop_reason": "end_turn",
+      "stop_sequence": null
+    },
+    "usage": {
+      "input_tokens": 38,
+      "cache_creation_input_tokens": 0,
+      "cache_read_input_tokens": 0,
+      "output_tokens": 11
+    }
+  },
+  {
+    "type": "message_stop"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/anthropic/response.json b/payloads/snapshots/multiTurnRequest/anthropic/response.json
new file mode 100644
index 00000000..03e00e3f
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/anthropic/response.json
@@ -0,0 +1,25 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "id": "msg_01ByKEqHKTSo6VJWviLDeYHG",
+  "type": "message",
+  "role": "assistant",
+  "content": [
+    {
+      "type": "text",
+      "text": "You told me your name was Alice."
+    }
+  ],
+  "stop_reason": "end_turn",
+  "stop_sequence": null,
+  "usage": {
+    "input_tokens": 38,
+    "cache_creation_input_tokens": 0,
+    "cache_read_input_tokens": 0,
+    "cache_creation": {
+      "ephemeral_5m_input_tokens": 0,
+      "ephemeral_1h_input_tokens": 0
+    },
+    "output_tokens": 11,
+    "service_tier": "standard"
+  }
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/chat-completions/followup-request.json b/payloads/snapshots/multiTurnRequest/chat-completions/followup-request.json
new file mode 100644
index 00000000..0aa8fe3e
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/chat-completions/followup-request.json
@@ -0,0 +1,29 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning_effort": "low",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Hi, my name is Alice."
+    },
+    {
+      "role": "assistant",
+      "content": "Hello Alice! Nice to meet you."
+    },
+    {
+      "role": "user",
+      "content": "What did I just tell you my name was?"
+    },
+    {
+      "role": "assistant",
+      "content": "You told me your name is Alice. Nice to meet you, Alice! Would you like me to call you Alice and remember it for this chat?",
+      "refusal": null,
+      "annotations": []
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ],
+  "max_completion_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/chat-completions/followup-response-streaming.json b/payloads/snapshots/multiTurnRequest/chat-completions/followup-response-streaming.json
new file mode 100644
index 00000000..dfafef5c
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/chat-completions/followup-response-streaming.json
@@ -0,0 +1,3170 @@
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+    "choices": [
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+    "obfuscation": "WJSjrNFJ3pzmAwj"
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+  {
+    "id": "chatcmpl-CYfubVHlwQvXBuBNwitugv2zkRG5K",
+    "object": "chat.completion.chunk",
+    "created": 1762380297,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
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+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
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+  {
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+    "object": "chat.completion.chunk",
+    "created": 1762380297,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
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+        "delta": {
+          "content": "?"
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+    ],
+    "obfuscation": "l5J"
+  },
+  {
+    "id": "chatcmpl-CYfubVHlwQvXBuBNwitugv2zkRG5K",
+    "object": "chat.completion.chunk",
+    "created": 1762380297,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
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+        "delta": {},
+        "finish_reason": "stop"
+      }
+    ],
+    "obfuscation": "OtXeu1tVOduFGj"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/chat-completions/followup-response.json b/payloads/snapshots/multiTurnRequest/chat-completions/followup-response.json
new file mode 100644
index 00000000..ad5fdb3e
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/chat-completions/followup-response.json
@@ -0,0 +1,35 @@
+{
+  "id": "chatcmpl-CYfuaFoSvHo0jrU0ul8rvOwvF9lJo",
+  "object": "chat.completion",
+  "created": 1762380296,
+  "model": "gpt-5-nano-2025-08-07",
+  "choices": [
+    {
+      "index": 0,
+      "message": {
+        "role": "assistant",
+        "content": "",
+        "refusal": null,
+        "annotations": []
+      },
+      "finish_reason": "length"
+    }
+  ],
+  "usage": {
+    "prompt_tokens": 87,
+    "completion_tokens": 300,
+    "total_tokens": 387,
+    "prompt_tokens_details": {
+      "cached_tokens": 0,
+      "audio_tokens": 0
+    },
+    "completion_tokens_details": {
+      "reasoning_tokens": 300,
+      "audio_tokens": 0,
+      "accepted_prediction_tokens": 0,
+      "rejected_prediction_tokens": 0
+    }
+  },
+  "service_tier": "default",
+  "system_fingerprint": null
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/chat-completions/request.json b/payloads/snapshots/multiTurnRequest/chat-completions/request.json
new file mode 100644
index 00000000..a0261e1b
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/chat-completions/request.json
@@ -0,0 +1,19 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning_effort": "low",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Hi, my name is Alice."
+    },
+    {
+      "role": "assistant",
+      "content": "Hello Alice! Nice to meet you."
+    },
+    {
+      "role": "user",
+      "content": "What did I just tell you my name was?"
+    }
+  ],
+  "max_completion_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/chat-completions/response-streaming.json b/payloads/snapshots/multiTurnRequest/chat-completions/response-streaming.json
new file mode 100644
index 00000000..53432f78
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/chat-completions/response-streaming.json
@@ -0,0 +1,308 @@
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+    "service_tier": "default",
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+    "obfuscation": "8O2r1K0oCuzBiHa"
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+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
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+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
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+        "delta": {
+          "content": " How"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYfuY6gXwnhknByRgmTWWUpqR47kt",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
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+        "delta": {
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+    "obfuscation": ""
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+  {
+    "id": "chatcmpl-CYfuY6gXwnhknByRgmTWWUpqR47kt",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
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+      }
+    ],
+    "obfuscation": "5y"
+  },
+  {
+    "id": "chatcmpl-CYfuY6gXwnhknByRgmTWWUpqR47kt",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
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+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
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+        "delta": {
+          "content": " today"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "WuLpxRnbPQ5gi9"
+  },
+  {
+    "id": "chatcmpl-CYfuY6gXwnhknByRgmTWWUpqR47kt",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "?"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "iYI"
+  },
+  {
+    "id": "chatcmpl-CYfuY6gXwnhknByRgmTWWUpqR47kt",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {},
+        "finish_reason": "stop"
+      }
+    ],
+    "obfuscation": "XPqWgIWElG1XLN"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/chat-completions/response.json b/payloads/snapshots/multiTurnRequest/chat-completions/response.json
new file mode 100644
index 00000000..2747b8c5
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/chat-completions/response.json
@@ -0,0 +1,35 @@
+{
+  "id": "chatcmpl-CYfuYUdMNrlGdLoQM225Hr0vdGIgQ",
+  "object": "chat.completion",
+  "created": 1762380294,
+  "model": "gpt-5-nano-2025-08-07",
+  "choices": [
+    {
+      "index": 0,
+      "message": {
+        "role": "assistant",
+        "content": "You told me your name is Alice. Nice to meet you, Alice! Would you like me to call you Alice and remember it for this chat?",
+        "refusal": null,
+        "annotations": []
+      },
+      "finish_reason": "stop"
+    }
+  ],
+  "usage": {
+    "prompt_tokens": 41,
+    "completion_tokens": 103,
+    "total_tokens": 144,
+    "prompt_tokens_details": {
+      "cached_tokens": 0,
+      "audio_tokens": 0
+    },
+    "completion_tokens_details": {
+      "reasoning_tokens": 64,
+      "audio_tokens": 0,
+      "accepted_prediction_tokens": 0,
+      "rejected_prediction_tokens": 0
+    }
+  },
+  "service_tier": "default",
+  "system_fingerprint": null
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/responses/followup-request.json b/payloads/snapshots/multiTurnRequest/responses/followup-request.json
new file mode 100644
index 00000000..ff6ff125
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/responses/followup-request.json
@@ -0,0 +1,44 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning": {
+    "effort": "minimal"
+  },
+  "input": [
+    {
+      "role": "user",
+      "content": "Hi, my name is Alice."
+    },
+    {
+      "role": "assistant",
+      "content": "Hello Alice! Nice to meet you."
+    },
+    {
+      "role": "user",
+      "content": "What did I just tell you my name was?"
+    },
+    {
+      "id": "rs_047875f6e678ca3700690bc3560f808195817bf5ae9b9dd421",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_047875f6e678ca3700690bc356348c819588214ab147e4b8c4",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "You told me your name is Alice. Nice to meet you, Alice!"
+        }
+      ],
+      "role": "assistant"
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ],
+  "max_output_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/responses/followup-response-streaming.json b/payloads/snapshots/multiTurnRequest/responses/followup-response-streaming.json
new file mode 100644
index 00000000..faae7f4d
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/responses/followup-response-streaming.json
@@ -0,0 +1,1300 @@
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+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 108,
+    "item_id": "msg_047875f6e678ca3700690bc3589d4c8195bee8a6b0a5f1b745",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " a",
+    "logprobs": [],
+    "obfuscation": "Vn6uD2LxRO7VBv"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 109,
+    "item_id": "msg_047875f6e678ca3700690bc3589d4c8195bee8a6b0a5f1b745",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " plan",
+    "logprobs": [],
+    "obfuscation": "lhaYIavt5h7"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 110,
+    "item_id": "msg_047875f6e678ca3700690bc3589d4c8195bee8a6b0a5f1b745",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": ".",
+    "logprobs": [],
+    "obfuscation": "sSmqLCttxlvkMyW"
+  },
+  {
+    "type": "response.output_text.done",
+    "sequence_number": 111,
+    "item_id": "msg_047875f6e678ca3700690bc3589d4c8195bee8a6b0a5f1b745",
+    "output_index": 1,
+    "content_index": 0,
+    "text": "Nice to meet you, Alice! What would you like to do next? A few ideas:\n- Tell me a goal or problem (e.g., study help, planning, writing, coding).\n- Ask for information on a topic you’re curious about.\n- Get a quick task done (summaries, to-do lists, draft emails).\n- Have a casual chat or brainstorm ideas.\n\nIf you want, share a bit about what you’re trying to achieve and any time frame or constraints, and I’ll tailor a plan.",
+    "logprobs": []
+  },
+  {
+    "type": "response.content_part.done",
+    "sequence_number": 112,
+    "item_id": "msg_047875f6e678ca3700690bc3589d4c8195bee8a6b0a5f1b745",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": "Nice to meet you, Alice! What would you like to do next? A few ideas:\n- Tell me a goal or problem (e.g., study help, planning, writing, coding).\n- Ask for information on a topic you’re curious about.\n- Get a quick task done (summaries, to-do lists, draft emails).\n- Have a casual chat or brainstorm ideas.\n\nIf you want, share a bit about what you’re trying to achieve and any time frame or constraints, and I’ll tailor a plan."
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 113,
+    "output_index": 1,
+    "item": {
+      "id": "msg_047875f6e678ca3700690bc3589d4c8195bee8a6b0a5f1b745",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Nice to meet you, Alice! What would you like to do next? A few ideas:\n- Tell me a goal or problem (e.g., study help, planning, writing, coding).\n- Ask for information on a topic you’re curious about.\n- Get a quick task done (summaries, to-do lists, draft emails).\n- Have a casual chat or brainstorm ideas.\n\nIf you want, share a bit about what you’re trying to achieve and any time frame or constraints, and I’ll tailor a plan."
+        }
+      ],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.completed",
+    "sequence_number": 114,
+    "response": {
+      "id": "resp_047875f6e678ca3700690bc357d8348195a71353832f412f85",
+      "object": "response",
+      "created_at": 1762378583,
+      "status": "completed",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [
+        {
+          "id": "rs_047875f6e678ca3700690bc3587a5c819595dcc43333b8975b",
+          "type": "reasoning",
+          "summary": []
+        },
+        {
+          "id": "msg_047875f6e678ca3700690bc3589d4c8195bee8a6b0a5f1b745",
+          "type": "message",
+          "status": "completed",
+          "content": [
+            {
+              "type": "output_text",
+              "annotations": [],
+              "logprobs": [],
+              "text": "Nice to meet you, Alice! What would you like to do next? A few ideas:\n- Tell me a goal or problem (e.g., study help, planning, writing, coding).\n- Ask for information on a topic you’re curious about.\n- Get a quick task done (summaries, to-do lists, draft emails).\n- Have a casual chat or brainstorm ideas.\n\nIf you want, share a bit about what you’re trying to achieve and any time frame or constraints, and I’ll tailor a plan."
+            }
+          ],
+          "role": "assistant"
+        }
+      ],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "default",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": {
+        "input_tokens": 72,
+        "input_tokens_details": {
+          "cached_tokens": 0
+        },
+        "output_tokens": 111,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 183
+      },
+      "user": null,
+      "metadata": {}
+    }
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/responses/followup-response.json b/payloads/snapshots/multiTurnRequest/responses/followup-response.json
new file mode 100644
index 00000000..b4b2ac9d
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/responses/followup-response.json
@@ -0,0 +1,74 @@
+{
+  "id": "resp_047875f6e678ca3700690bc357c69c819591fcfd7c62326010",
+  "object": "response",
+  "created_at": 1762378583,
+  "status": "completed",
+  "background": false,
+  "billing": {
+    "payer": "developer"
+  },
+  "error": null,
+  "incomplete_details": null,
+  "instructions": null,
+  "max_output_tokens": 300,
+  "max_tool_calls": null,
+  "model": "gpt-5-nano-2025-08-07",
+  "output": [
+    {
+      "id": "rs_047875f6e678ca3700690bc35856208195b8120a8ae51d9b53",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_047875f6e678ca3700690bc3587b848195b5a35dfd189895c5",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Nice to chat with you, Alice! What you do next depends on what you’re aiming for. A few options:\n\n- If you want to practice something: pick a topic or skill and I can help with quick tips, steps, or a mini exercise.\n- If you’re deciding on a task: tell me your goal and any constraints, and I’ll lay out a simple plan.\n- If you’re looking for a fun break: I can suggest a short activity, a riddle, or a quick writing prompt.\n- If you want information: ask a question and I’ll provide a concise answer with sources or steps to follow.\n\nTell me a bit more about what you’re hoping to accomplish, and I’ll tailor the next steps."
+        }
+      ],
+      "role": "assistant"
+    }
+  ],
+  "parallel_tool_calls": true,
+  "previous_response_id": null,
+  "prompt_cache_key": null,
+  "prompt_cache_retention": null,
+  "reasoning": {
+    "effort": "minimal",
+    "summary": null
+  },
+  "safety_identifier": null,
+  "service_tier": "default",
+  "store": true,
+  "temperature": 1,
+  "text": {
+    "format": {
+      "type": "text"
+    },
+    "verbosity": "medium"
+  },
+  "tool_choice": "auto",
+  "tools": [],
+  "top_logprobs": 0,
+  "top_p": 1,
+  "truncation": "disabled",
+  "usage": {
+    "input_tokens": 72,
+    "input_tokens_details": {
+      "cached_tokens": 0
+    },
+    "output_tokens": 155,
+    "output_tokens_details": {
+      "reasoning_tokens": 0
+    },
+    "total_tokens": 227
+  },
+  "user": null,
+  "metadata": {},
+  "output_text": "Nice to chat with you, Alice! What you do next depends on what you’re aiming for. A few options:\n\n- If you want to practice something: pick a topic or skill and I can help with quick tips, steps, or a mini exercise.\n- If you’re deciding on a task: tell me your goal and any constraints, and I’ll lay out a simple plan.\n- If you’re looking for a fun break: I can suggest a short activity, a riddle, or a quick writing prompt.\n- If you want information: ask a question and I’ll provide a concise answer with sources or steps to follow.\n\nTell me a bit more about what you’re hoping to accomplish, and I’ll tailor the next steps."
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/responses/request.json b/payloads/snapshots/multiTurnRequest/responses/request.json
new file mode 100644
index 00000000..27c145d9
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/responses/request.json
@@ -0,0 +1,21 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning": {
+    "effort": "minimal"
+  },
+  "input": [
+    {
+      "role": "user",
+      "content": "Hi, my name is Alice."
+    },
+    {
+      "role": "assistant",
+      "content": "Hello Alice! Nice to meet you."
+    },
+    {
+      "role": "user",
+      "content": "What did I just tell you my name was?"
+    }
+  ],
+  "max_output_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/responses/response-streaming.json b/payloads/snapshots/multiTurnRequest/responses/response-streaming.json
new file mode 100644
index 00000000..6e33ef6b
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/responses/response-streaming.json
@@ -0,0 +1,320 @@
+[
+  {
+    "type": "response.created",
+    "sequence_number": 0,
+    "response": {
+      "id": "resp_06d826d421ae2faa00690bc35590b0819483e1f52fb2698ee0",
+      "object": "response",
+      "created_at": 1762378581,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.in_progress",
+    "sequence_number": 1,
+    "response": {
+      "id": "resp_06d826d421ae2faa00690bc35590b0819483e1f52fb2698ee0",
+      "object": "response",
+      "created_at": 1762378581,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.output_item.added",
+    "sequence_number": 2,
+    "output_index": 0,
+    "item": {
+      "id": "rs_06d826d421ae2faa00690bc35615a0819485f767f3d6fba820",
+      "type": "reasoning",
+      "summary": []
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 3,
+    "output_index": 0,
+    "item": {
+      "id": "rs_06d826d421ae2faa00690bc35615a0819485f767f3d6fba820",
+      "type": "reasoning",
+      "summary": []
+    }
+  },
+  {
+    "type": "response.output_item.added",
+    "sequence_number": 4,
+    "output_index": 1,
+    "item": {
+      "id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+      "type": "message",
+      "status": "in_progress",
+      "content": [],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.content_part.added",
+    "sequence_number": 5,
+    "item_id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": ""
+    }
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 6,
+    "item_id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": "You",
+    "logprobs": [],
+    "obfuscation": "TRZA25Ysfv7A1"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 7,
+    "item_id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " said",
+    "logprobs": [],
+    "obfuscation": "lmhIjLpLN7L"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 8,
+    "item_id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " your",
+    "logprobs": [],
+    "obfuscation": "U7w2lr9z5mp"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 9,
+    "item_id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " name",
+    "logprobs": [],
+    "obfuscation": "hHGjwxVVWUQ"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 10,
+    "item_id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " is",
+    "logprobs": [],
+    "obfuscation": "ff9HzYN9zqeZQ"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 11,
+    "item_id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " Alice",
+    "logprobs": [],
+    "obfuscation": "cRxGNEJ5c6"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 12,
+    "item_id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": ".",
+    "logprobs": [],
+    "obfuscation": "fAaGG66S97mgH9q"
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+  {
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+    "output_index": 1,
+    "content_index": 0,
+    "text": "You said your name is Alice.",
+    "logprobs": []
+  },
+  {
+    "type": "response.content_part.done",
+    "sequence_number": 14,
+    "item_id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": "You said your name is Alice."
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 15,
+    "output_index": 1,
+    "item": {
+      "id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "You said your name is Alice."
+        }
+      ],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.completed",
+    "sequence_number": 16,
+    "response": {
+      "id": "resp_06d826d421ae2faa00690bc35590b0819483e1f52fb2698ee0",
+      "object": "response",
+      "created_at": 1762378581,
+      "status": "completed",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [
+        {
+          "id": "rs_06d826d421ae2faa00690bc35615a0819485f767f3d6fba820",
+          "type": "reasoning",
+          "summary": []
+        },
+        {
+          "id": "msg_06d826d421ae2faa00690bc356314081949568c8bf76850a1d",
+          "type": "message",
+          "status": "completed",
+          "content": [
+            {
+              "type": "output_text",
+              "annotations": [],
+              "logprobs": [],
+              "text": "You said your name is Alice."
+            }
+          ],
+          "role": "assistant"
+        }
+      ],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "default",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": {
+        "input_tokens": 41,
+        "input_tokens_details": {
+          "cached_tokens": 0
+        },
+        "output_tokens": 13,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 54
+      },
+      "user": null,
+      "metadata": {}
+    }
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/multiTurnRequest/responses/response.json b/payloads/snapshots/multiTurnRequest/responses/response.json
new file mode 100644
index 00000000..2ef8b730
--- /dev/null
+++ b/payloads/snapshots/multiTurnRequest/responses/response.json
@@ -0,0 +1,74 @@
+{
+  "id": "resp_047875f6e678ca3700690bc3558c608195b1e4f9be13b29809",
+  "object": "response",
+  "created_at": 1762378581,
+  "status": "completed",
+  "background": false,
+  "billing": {
+    "payer": "developer"
+  },
+  "error": null,
+  "incomplete_details": null,
+  "instructions": null,
+  "max_output_tokens": 300,
+  "max_tool_calls": null,
+  "model": "gpt-5-nano-2025-08-07",
+  "output": [
+    {
+      "id": "rs_047875f6e678ca3700690bc3560f808195817bf5ae9b9dd421",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_047875f6e678ca3700690bc356348c819588214ab147e4b8c4",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "You told me your name is Alice. Nice to meet you, Alice!"
+        }
+      ],
+      "role": "assistant"
+    }
+  ],
+  "parallel_tool_calls": true,
+  "previous_response_id": null,
+  "prompt_cache_key": null,
+  "prompt_cache_retention": null,
+  "reasoning": {
+    "effort": "minimal",
+    "summary": null
+  },
+  "safety_identifier": null,
+  "service_tier": "default",
+  "store": true,
+  "temperature": 1,
+  "text": {
+    "format": {
+      "type": "text"
+    },
+    "verbosity": "medium"
+  },
+  "tool_choice": "auto",
+  "tools": [],
+  "top_logprobs": 0,
+  "top_p": 1,
+  "truncation": "disabled",
+  "usage": {
+    "input_tokens": 41,
+    "input_tokens_details": {
+      "cached_tokens": 0
+    },
+    "output_tokens": 21,
+    "output_tokens_details": {
+      "reasoning_tokens": 0
+    },
+    "total_tokens": 62
+  },
+  "user": null,
+  "metadata": {},
+  "output_text": "You told me your name is Alice. Nice to meet you, Alice!"
+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/anthropic/followup-request.json b/payloads/snapshots/prefillRequest/anthropic/followup-request.json
new file mode 100644
index 00000000..e7ca73cc
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/anthropic/followup-request.json
@@ -0,0 +1,27 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "max_tokens": 300,
+  "messages": [
+    {
+      "role": "user",
+      "content": "Write a haiku about coding."
+    },
+    {
+      "role": "assistant",
+      "content": "Here is a haiku:"
+    },
+    {
+      "role": "assistant",
+      "content": [
+        {
+          "type": "text",
+          "text": " \n\nCode compiles at last—\nHours of debugging fade\nInto working art"
+        }
+      ]
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/anthropic/followup-response-streaming.json b/payloads/snapshots/prefillRequest/anthropic/followup-response-streaming.json
new file mode 100644
index 00000000..e45a800c
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/anthropic/followup-response-streaming.json
@@ -0,0 +1,173 @@
+[
+  {
+    "type": "message_start",
+    "message": {
+      "model": "claude-sonnet-4-20250514",
+      "id": "msg_01DvkTbrA1vv9Wa7j9EA31FY",
+      "type": "message",
+      "role": "assistant",
+      "content": [],
+      "stop_reason": null,
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 50,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 1,
+        "service_tier": "standard"
+      }
+    }
+  },
+  {
+    "type": "content_block_start",
+    "index": 0,
+    "content_block": {
+      "type": "text",
+      "text": ""
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "That"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " depends on what you're looking for!"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " Here are some possibilities:\n\n**If"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " you enjoyed the creative writing:**\n- Try"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " writing your own haiku about coding or another"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " topic\n- Ask for a different type of poem"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " or creative piece\n\n**If you're interested in coding"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": ":**\n- Share a programming"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " challenge you're working on\n- Ask"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " about learning a new language or concept\n\n**If you want something"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " completely different:**\n- Ask"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " me a question about a topic you're curious about\n- Request"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " help with a task or problem you're facing"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "\n- Start a conversation about your interests\n\nWhat sounds"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " most appealing to you right now?"
+    }
+  },
+  {
+    "type": "content_block_stop",
+    "index": 0
+  },
+  {
+    "type": "message_delta",
+    "delta": {
+      "stop_reason": "end_turn",
+      "stop_sequence": null
+    },
+    "usage": {
+      "input_tokens": 50,
+      "cache_creation_input_tokens": 0,
+      "cache_read_input_tokens": 0,
+      "output_tokens": 133
+    }
+  },
+  {
+    "type": "message_stop"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/anthropic/followup-response.json b/payloads/snapshots/prefillRequest/anthropic/followup-response.json
new file mode 100644
index 00000000..f56db72b
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/anthropic/followup-response.json
@@ -0,0 +1,25 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "id": "msg_01X722DnWNDXiDX6UiDirLm7",
+  "type": "message",
+  "role": "assistant",
+  "content": [
+    {
+      "type": "text",
+      "text": "That depends on what you're looking for! Here are some ideas:\n\n**If you want to keep being creative:**\n- Write another haiku on a different theme\n- Try a different poetic form like a limerick or sonnet\n- Create a short story or dialogue\n\n**If you're interested in coding (inspired by the haiku):**\n- Practice a programming challenge\n- Start learning a new language or framework\n- Work on a personal coding project\n\n**If you want to explore other topics:**\n- Ask me to explain something you're curious about\n- Have a philosophical discussion\n- Get help with a problem you're working on\n\n**Or something completely different:**\n- Play a word game\n- Brainstorm ideas for a hobby or project\n- Ask for book, movie, or music recommendations\n\nWhat sounds interesting to you?"
+    }
+  ],
+  "stop_reason": "end_turn",
+  "stop_sequence": null,
+  "usage": {
+    "input_tokens": 50,
+    "cache_creation_input_tokens": 0,
+    "cache_read_input_tokens": 0,
+    "cache_creation": {
+      "ephemeral_5m_input_tokens": 0,
+      "ephemeral_1h_input_tokens": 0
+    },
+    "output_tokens": 180,
+    "service_tier": "standard"
+  }
+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/anthropic/request.json b/payloads/snapshots/prefillRequest/anthropic/request.json
new file mode 100644
index 00000000..0a7476ec
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/anthropic/request.json
@@ -0,0 +1,14 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "max_tokens": 300,
+  "messages": [
+    {
+      "role": "user",
+      "content": "Write a haiku about coding."
+    },
+    {
+      "role": "assistant",
+      "content": "Here is a haiku:"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/anthropic/response-streaming.json b/payloads/snapshots/prefillRequest/anthropic/response-streaming.json
new file mode 100644
index 00000000..0f105c03
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/anthropic/response-streaming.json
@@ -0,0 +1,77 @@
+[
+  {
+    "type": "message_start",
+    "message": {
+      "model": "claude-sonnet-4-20250514",
+      "id": "msg_01BVP6QX8r55Bpubhm6BC4yD",
+      "type": "message",
+      "role": "assistant",
+      "content": [],
+      "stop_reason": null,
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 20,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 1,
+        "service_tier": "standard"
+      }
+    }
+  },
+  {
+    "type": "content_block_start",
+    "index": 0,
+    "content_block": {
+      "type": "text",
+      "text": ""
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " Code"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " streams through the night\nBrackets"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " balance and align\nLogic comes to life"
+    }
+  },
+  {
+    "type": "content_block_stop",
+    "index": 0
+  },
+  {
+    "type": "message_delta",
+    "delta": {
+      "stop_reason": "end_turn",
+      "stop_sequence": null
+    },
+    "usage": {
+      "input_tokens": 20,
+      "cache_creation_input_tokens": 0,
+      "cache_read_input_tokens": 0,
+      "output_tokens": 19
+    }
+  },
+  {
+    "type": "message_stop"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/anthropic/response.json b/payloads/snapshots/prefillRequest/anthropic/response.json
new file mode 100644
index 00000000..c04558e0
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/anthropic/response.json
@@ -0,0 +1,25 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "id": "msg_01F7eyzYFwZmr5CJwtRafmav",
+  "type": "message",
+  "role": "assistant",
+  "content": [
+    {
+      "type": "text",
+      "text": " \n\nCode compiles at last—\nHours of debugging fade\nInto working art"
+    }
+  ],
+  "stop_reason": "end_turn",
+  "stop_sequence": null,
+  "usage": {
+    "input_tokens": 20,
+    "cache_creation_input_tokens": 0,
+    "cache_read_input_tokens": 0,
+    "cache_creation": {
+      "ephemeral_5m_input_tokens": 0,
+      "ephemeral_1h_input_tokens": 0
+    },
+    "output_tokens": 20,
+    "service_tier": "standard"
+  }
+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/chat-completions/followup-request.json b/payloads/snapshots/prefillRequest/chat-completions/followup-request.json
new file mode 100644
index 00000000..e61bca5d
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/chat-completions/followup-request.json
@@ -0,0 +1,25 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning_effort": "low",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Write a haiku about coding."
+    },
+    {
+      "role": "assistant",
+      "content": "Here is a haiku:"
+    },
+    {
+      "role": "assistant",
+      "content": "",
+      "refusal": null,
+      "annotations": []
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ],
+  "max_completion_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/chat-completions/followup-response-streaming.json b/payloads/snapshots/prefillRequest/chat-completions/followup-response-streaming.json
new file mode 100644
index 00000000..57d89d52
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/chat-completions/followup-response-streaming.json
@@ -0,0 +1,1442 @@
+[
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "role": "assistant",
+          "content": "",
+          "refusal": null
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "pS"
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "Here"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " are"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
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+        "index": 0,
+        "delta": {
+          "content": " a"
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+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "42"
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " few"
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+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
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+        "index": 0,
+        "delta": {
+          "content": " options"
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+      }
+    ],
+    "obfuscation": "ZWlUPylJqA1B"
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "."
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+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "heA"
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
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+    "obfuscation": "CgPRqA1MMl3vff9"
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " one"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
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+    "choices": [
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+        "delta": {
+          "content": " ("
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+    ],
+    "obfuscation": "C0"
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
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+        "delta": {
+          "content": "or"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "WI"
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
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+    "choices": [
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+        "delta": {
+          "content": " three"
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+    "obfuscation": "eXaBGS9NSR7g6j"
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+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
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+    "choices": [
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+        "index": 0,
+        "delta": {
+          "content": "),"
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+        "finish_reason": null
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+    ],
+    "obfuscation": "Kz"
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
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+        "delta": {
+          "content": " and"
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+        "finish_reason": null
+      }
+    ],
+    "obfuscation": ""
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " I"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "LI"
+  },
+  {
+    "id": "chatcmpl-CYfucfeKDPZa0C6d5BcWnzKps8FIi",
+    "object": "chat.completion.chunk",
+    "created": 1762380298,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
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+        "delta": {
+          "content": "’ll"
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+        "finish_reason": null
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\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/chat-completions/followup-response.json b/payloads/snapshots/prefillRequest/chat-completions/followup-response.json
new file mode 100644
index 00000000..6df65c6c
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/chat-completions/followup-response.json
@@ -0,0 +1,35 @@
+{
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+  "model": "gpt-5-nano-2025-08-07",
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+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/chat-completions/request.json b/payloads/snapshots/prefillRequest/chat-completions/request.json
new file mode 100644
index 00000000..10935841
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/chat-completions/request.json
@@ -0,0 +1,15 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning_effort": "low",
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+      "content": "Here is a haiku:"
+    }
+  ],
+  "max_completion_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/chat-completions/response-streaming.json b/payloads/snapshots/prefillRequest/chat-completions/response-streaming.json
new file mode 100644
index 00000000..257dc3c6
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/chat-completions/response-streaming.json
@@ -0,0 +1,326 @@
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+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "logic"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "VILE7YJRCMFFA3s"
+  },
+  {
+    "id": "chatcmpl-CYfuYMi6rz9wIJAt4Ft6T2olfgTAu",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " blooms"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "uReo8Zl6aV3Tz"
+  },
+  {
+    "id": "chatcmpl-CYfuYMi6rz9wIJAt4Ft6T2olfgTAu",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " in"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "P"
+  },
+  {
+    "id": "chatcmpl-CYfuYMi6rz9wIJAt4Ft6T2olfgTAu",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": " light"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "olDcxpnKaTBfkZ"
+  },
+  {
+    "id": "chatcmpl-CYfuYMi6rz9wIJAt4Ft6T2olfgTAu",
+    "object": "chat.completion.chunk",
+    "created": 1762380294,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {},
+        "finish_reason": "stop"
+      }
+    ],
+    "obfuscation": "qJ7bCziHFCzwEB"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/chat-completions/response.json b/payloads/snapshots/prefillRequest/chat-completions/response.json
new file mode 100644
index 00000000..60ae6005
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/chat-completions/response.json
@@ -0,0 +1,35 @@
+{
+  "id": "chatcmpl-CYfuYbThkmMwJhVal23lwHFaHCFNc",
+  "object": "chat.completion",
+  "created": 1762380294,
+  "model": "gpt-5-nano-2025-08-07",
+  "choices": [
+    {
+      "index": 0,
+      "message": {
+        "role": "assistant",
+        "content": "",
+        "refusal": null,
+        "annotations": []
+      },
+      "finish_reason": "length"
+    }
+  ],
+  "usage": {
+    "prompt_tokens": 25,
+    "completion_tokens": 300,
+    "total_tokens": 325,
+    "prompt_tokens_details": {
+      "cached_tokens": 0,
+      "audio_tokens": 0
+    },
+    "completion_tokens_details": {
+      "reasoning_tokens": 300,
+      "audio_tokens": 0,
+      "accepted_prediction_tokens": 0,
+      "rejected_prediction_tokens": 0
+    }
+  },
+  "service_tier": "default",
+  "system_fingerprint": null
+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/responses/followup-request.json b/payloads/snapshots/prefillRequest/responses/followup-request.json
new file mode 100644
index 00000000..7228f23b
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/responses/followup-request.json
@@ -0,0 +1,40 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning": {
+    "effort": "minimal"
+  },
+  "input": [
+    {
+      "role": "user",
+      "content": "Write a haiku about coding."
+    },
+    {
+      "role": "assistant",
+      "content": "Here is a haiku:"
+    },
+    {
+      "id": "rs_0d8f4d68bc8e2c8800690bc355ff588194a46c34fd67aca1b9",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_0d8f4d68bc8e2c8800690bc35617988194b643fa72033e7f40",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Lines glow in the night code,\nlogic breathes in quiet точь,\nbugs fade, dawn compiles."
+        }
+      ],
+      "role": "assistant"
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ],
+  "max_output_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/responses/followup-response-streaming.json b/payloads/snapshots/prefillRequest/responses/followup-response-streaming.json
new file mode 100644
index 00000000..bbf0a1d0
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/responses/followup-response-streaming.json
@@ -0,0 +1,1460 @@
+[
+  {
+    "type": "response.created",
+    "sequence_number": 0,
+    "response": {
+      "id": "resp_0d8f4d68bc8e2c8800690bc35709a48194b2c6a9c15cafb08b",
+      "object": "response",
+      "created_at": 1762378583,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.in_progress",
+    "sequence_number": 1,
+    "response": {
+      "id": "resp_0d8f4d68bc8e2c8800690bc35709a48194b2c6a9c15cafb08b",
+      "object": "response",
+      "created_at": 1762378583,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.output_item.added",
+    "sequence_number": 2,
+    "output_index": 0,
+    "item": {
+      "id": "rs_0d8f4d68bc8e2c8800690bc3576d0c8194bf8487241e36d895",
+      "type": "reasoning",
+      "summary": []
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 3,
+    "output_index": 0,
+    "item": {
+      "id": "rs_0d8f4d68bc8e2c8800690bc3576d0c8194bf8487241e36d895",
+      "type": "reasoning",
+      "summary": []
+    }
+  },
+  {
+    "type": "response.output_item.added",
+    "sequence_number": 4,
+    "output_index": 1,
+    "item": {
+      "id": "msg_0d8f4d68bc8e2c8800690bc35791848194999389f604baa905",
+      "type": "message",
+      "status": "in_progress",
+      "content": [],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.content_part.added",
+    "sequence_number": 5,
+    "item_id": "msg_0d8f4d68bc8e2c8800690bc35791848194999389f604baa905",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": ""
+    }
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 6,
+    "item_id": "msg_0d8f4d68bc8e2c8800690bc35791848194999389f604baa905",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": "Nice",
+    "logprobs": [],
+    "obfuscation": "rA2J0CA4GcK3"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 7,
+    "item_id": "msg_0d8f4d68bc8e2c8800690bc35791848194999389f604baa905",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " ha",
+    "logprobs": [],
+    "obfuscation": "QSafHvQ0uTo7N"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 8,
+    "item_id": "msg_0d8f4d68bc8e2c8800690bc35791848194999389f604baa905",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": "iku",
+    "logprobs": [],
+    "obfuscation": "zN4XbfwNVybOi"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 9,
+    "item_id": "msg_0d8f4d68bc8e2c8800690bc35791848194999389f604baa905",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": "!",
+    "logprobs": [],
+    "obfuscation": "sZi2A4GOBnIQlOv"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 10,
+    "item_id": "msg_0d8f4d68bc8e2c8800690bc35791848194999389f604baa905",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " If",
+    "logprobs": [],
+    "obfuscation": "t4vmobANdkyMT"
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+  {
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+    "sequence_number": 11,
+    "item_id": "msg_0d8f4d68bc8e2c8800690bc35791848194999389f604baa905",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " you",
+    "logprobs": [],
+    "obfuscation": "YKnimbS3RwFP"
+  },
+  {
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+    "sequence_number": 12,
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+    "output_index": 1,
+    "content_index": 0,
+    "delta": "’re",
+    "logprobs": [],
+    "obfuscation": "teLwpHSSwXzvO"
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+    "content_index": 0,
+    "delta": " wondering",
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+    "obfuscation": "MpKY1x"
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+    "delta": " what",
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+    "obfuscation": "QMLDTrzJ5AD"
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+  {
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+    "delta": " to",
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+    "obfuscation": "QdWKp43NjPIUH"
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+  {
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+    "delta": " do",
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+    "content_index": 0,
+    "delta": " next",
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+    "delta": ",",
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+    "obfuscation": "BH0cmRvmsz603ay"
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+  {
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+    "delta": " here",
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+    "obfuscation": "UwHs9lFL14T"
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+  {
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+  {
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+    "output_index": 1,
+    "content_index": 0,
+    "text": "Nice haiku! If you’re wondering what to do next, here are a few options:\n\n- Write another haiku about coding from a different angle (debugging, teamwork, or a breakthrough moment).\n- Try a short micro-poem in a different form (tanka, cinquain) about tech.\n- Expand into a tiny piece of prose about a coding moment, 2–3 sentences.\n- Share the haiku with a friend or in a coding chat for feedback.\n- If you want, tell me a theme or emotion and I’ll craft a fresh haiku or poem for you.",
+    "logprobs": []
+  },
+  {
+    "type": "response.content_part.done",
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+    "item_id": "msg_0d8f4d68bc8e2c8800690bc35791848194999389f604baa905",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": "Nice haiku! If you’re wondering what to do next, here are a few options:\n\n- Write another haiku about coding from a different angle (debugging, teamwork, or a breakthrough moment).\n- Try a short micro-poem in a different form (tanka, cinquain) about tech.\n- Expand into a tiny piece of prose about a coding moment, 2–3 sentences.\n- Share the haiku with a friend or in a coding chat for feedback.\n- If you want, tell me a theme or emotion and I’ll craft a fresh haiku or poem for you."
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 129,
+    "output_index": 1,
+    "item": {
+      "id": "msg_0d8f4d68bc8e2c8800690bc35791848194999389f604baa905",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Nice haiku! If you’re wondering what to do next, here are a few options:\n\n- Write another haiku about coding from a different angle (debugging, teamwork, or a breakthrough moment).\n- Try a short micro-poem in a different form (tanka, cinquain) about tech.\n- Expand into a tiny piece of prose about a coding moment, 2–3 sentences.\n- Share the haiku with a friend or in a coding chat for feedback.\n- If you want, tell me a theme or emotion and I’ll craft a fresh haiku or poem for you."
+        }
+      ],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.completed",
+    "sequence_number": 130,
+    "response": {
+      "id": "resp_0d8f4d68bc8e2c8800690bc35709a48194b2c6a9c15cafb08b",
+      "object": "response",
+      "created_at": 1762378583,
+      "status": "completed",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [
+        {
+          "id": "rs_0d8f4d68bc8e2c8800690bc3576d0c8194bf8487241e36d895",
+          "type": "reasoning",
+          "summary": []
+        },
+        {
+          "id": "msg_0d8f4d68bc8e2c8800690bc35791848194999389f604baa905",
+          "type": "message",
+          "status": "completed",
+          "content": [
+            {
+              "type": "output_text",
+              "annotations": [],
+              "logprobs": [],
+              "text": "Nice haiku! If you’re wondering what to do next, here are a few options:\n\n- Write another haiku about coding from a different angle (debugging, teamwork, or a breakthrough moment).\n- Try a short micro-poem in a different form (tanka, cinquain) about tech.\n- Expand into a tiny piece of prose about a coding moment, 2–3 sentences.\n- Share the haiku with a friend or in a coding chat for feedback.\n- If you want, tell me a theme or emotion and I’ll craft a fresh haiku or poem for you."
+            }
+          ],
+          "role": "assistant"
+        }
+      ],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "default",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
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+        "input_tokens_details": {
+          "cached_tokens": 0
+        },
+        "output_tokens": 127,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 190
+      },
+      "user": null,
+      "metadata": {}
+    }
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/responses/followup-response.json b/payloads/snapshots/prefillRequest/responses/followup-response.json
new file mode 100644
index 00000000..01f4a781
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/responses/followup-response.json
@@ -0,0 +1,74 @@
+{
+  "id": "resp_0d8f4d68bc8e2c8800690bc356e3288194a03d1dd09e069f89",
+  "object": "response",
+  "created_at": 1762378582,
+  "status": "completed",
+  "background": false,
+  "billing": {
+    "payer": "developer"
+  },
+  "error": null,
+  "incomplete_details": null,
+  "instructions": null,
+  "max_output_tokens": 300,
+  "max_tool_calls": null,
+  "model": "gpt-5-nano-2025-08-07",
+  "output": [
+    {
+      "id": "rs_0d8f4d68bc8e2c8800690bc3574fc48194aa76cb86553c5d7e",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_0d8f4d68bc8e2c8800690bc35769e48194949caa170e11a4e4",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Here are a few options, depending on what you’re after:\n\n- If you want more poetry: I can craft another haiku about coding, or write a different form (tanka, sonnet, micro-poem).\n- If you want coding practice: share a language and a small problem, and I’ll give you a challenge with tips and a sample solution.\n- If you want feedback: paste a piece of code or a poem, and I’ll offer ideas for improvement.\n- If you want inspiration: I can suggest themes or prompts for your next coding project or poem.\n\nTell me which direction you’d prefer."
+        }
+      ],
+      "role": "assistant"
+    }
+  ],
+  "parallel_tool_calls": true,
+  "previous_response_id": null,
+  "prompt_cache_key": null,
+  "prompt_cache_retention": null,
+  "reasoning": {
+    "effort": "minimal",
+    "summary": null
+  },
+  "safety_identifier": null,
+  "service_tier": "default",
+  "store": true,
+  "temperature": 1,
+  "text": {
+    "format": {
+      "type": "text"
+    },
+    "verbosity": "medium"
+  },
+  "tool_choice": "auto",
+  "tools": [],
+  "top_logprobs": 0,
+  "top_p": 1,
+  "truncation": "disabled",
+  "usage": {
+    "input_tokens": 63,
+    "input_tokens_details": {
+      "cached_tokens": 0
+    },
+    "output_tokens": 131,
+    "output_tokens_details": {
+      "reasoning_tokens": 0
+    },
+    "total_tokens": 194
+  },
+  "user": null,
+  "metadata": {},
+  "output_text": "Here are a few options, depending on what you’re after:\n\n- If you want more poetry: I can craft another haiku about coding, or write a different form (tanka, sonnet, micro-poem).\n- If you want coding practice: share a language and a small problem, and I’ll give you a challenge with tips and a sample solution.\n- If you want feedback: paste a piece of code or a poem, and I’ll offer ideas for improvement.\n- If you want inspiration: I can suggest themes or prompts for your next coding project or poem.\n\nTell me which direction you’d prefer."
+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/responses/request.json b/payloads/snapshots/prefillRequest/responses/request.json
new file mode 100644
index 00000000..5649fd1e
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/responses/request.json
@@ -0,0 +1,17 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning": {
+    "effort": "minimal"
+  },
+  "input": [
+    {
+      "role": "user",
+      "content": "Write a haiku about coding."
+    },
+    {
+      "role": "assistant",
+      "content": "Here is a haiku:"
+    }
+  ],
+  "max_output_tokens": 300
+}
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/responses/response-streaming.json b/payloads/snapshots/prefillRequest/responses/response-streaming.json
new file mode 100644
index 00000000..8481750f
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/responses/response-streaming.json
@@ -0,0 +1,430 @@
+[
+  {
+    "type": "response.created",
+    "sequence_number": 0,
+    "response": {
+      "id": "resp_024ad7a06cf2e94900690bc355dc8481939ced0c84d64e8e40",
+      "object": "response",
+      "created_at": 1762378581,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
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+    }
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+    }
+  },
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+    "item": {
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+      "type": "reasoning",
+      "summary": []
+    }
+  },
+  {
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+    "item": {
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+    }
+  },
+  {
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+      "type": "message",
+      "status": "in_progress",
+      "content": [],
+      "role": "assistant"
+    }
+  },
+  {
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+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": ""
+    }
+  },
+  {
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+    "output_index": 1,
+    "content_index": 0,
+    "delta": "Silent",
+    "logprobs": [],
+    "obfuscation": "eLfFPZyjeh"
+  },
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+    "content_index": 0,
+    "delta": " keys",
+    "logprobs": [],
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+    "content_index": 0,
+    "delta": " click",
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+    "delta": ",",
+    "logprobs": [],
+    "obfuscation": "SeAjzXdqmdScZPo"
+  },
+  {
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+    "item_id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " bright",
+    "logprobs": [],
+    "obfuscation": "mNpDpEEmM"
+  },
+  {
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+    "item_id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
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+    "delta": "\n",
+    "logprobs": [],
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+  },
+  {
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+    "sequence_number": 12,
+    "item_id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": "logic",
+    "logprobs": [],
+    "obfuscation": "EayWqdcZMUy"
+  },
+  {
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+    "delta": " blooms",
+    "logprobs": [],
+    "obfuscation": "xrIK7dw4q"
+  },
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+    "delta": " midnight",
+    "logprobs": [],
+    "obfuscation": "V1OUWjd"
+  },
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+    "delta": " white",
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+    "obfuscation": "MMrylFbl5K"
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+    "output_index": 1,
+    "content_index": 0,
+    "delta": "—\n",
+    "logprobs": [],
+    "obfuscation": "pQ9KOAAN3IJrVn"
+  },
+  {
+    "type": "response.output_text.delta",
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+    "output_index": 1,
+    "content_index": 0,
+    "delta": "codes",
+    "logprobs": [],
+    "obfuscation": "KgVdJ8aoRM0"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 19,
+    "item_id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " whisper",
+    "logprobs": [],
+    "obfuscation": "Mgo1taj8"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 20,
+    "item_id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
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+    "delta": ",",
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+  },
+  {
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+    "item_id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " dreams",
+    "logprobs": [],
+    "obfuscation": "m3FQTSnDj"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 22,
+    "item_id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": " rise",
+    "logprobs": [],
+    "obfuscation": "lbmzyCmJXPC"
+  },
+  {
+    "type": "response.output_text.delta",
+    "sequence_number": 23,
+    "item_id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
+    "output_index": 1,
+    "content_index": 0,
+    "delta": ".",
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+  },
+  {
+    "type": "response.output_text.done",
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+    "item_id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
+    "output_index": 1,
+    "content_index": 0,
+    "text": "Silent keys click, bright\nlogic blooms in midnight white—\ncodes whisper, dreams rise.",
+    "logprobs": []
+  },
+  {
+    "type": "response.content_part.done",
+    "sequence_number": 25,
+    "item_id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": "Silent keys click, bright\nlogic blooms in midnight white—\ncodes whisper, dreams rise."
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 26,
+    "output_index": 1,
+    "item": {
+      "id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Silent keys click, bright\nlogic blooms in midnight white—\ncodes whisper, dreams rise."
+        }
+      ],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.completed",
+    "sequence_number": 27,
+    "response": {
+      "id": "resp_024ad7a06cf2e94900690bc355dc8481939ced0c84d64e8e40",
+      "object": "response",
+      "created_at": 1762378581,
+      "status": "completed",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 300,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [
+        {
+          "id": "rs_024ad7a06cf2e94900690bc356359c8193b7d32b83104ed9a9",
+          "type": "reasoning",
+          "summary": []
+        },
+        {
+          "id": "msg_024ad7a06cf2e94900690bc3565ac081939c2978dcd91a0318",
+          "type": "message",
+          "status": "completed",
+          "content": [
+            {
+              "type": "output_text",
+              "annotations": [],
+              "logprobs": [],
+              "text": "Silent keys click, bright\nlogic blooms in midnight white—\ncodes whisper, dreams rise."
+            }
+          ],
+          "role": "assistant"
+        }
+      ],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "default",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": {
+        "input_tokens": 25,
+        "input_tokens_details": {
+          "cached_tokens": 0
+        },
+        "output_tokens": 24,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 49
+      },
+      "user": null,
+      "metadata": {}
+    }
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/prefillRequest/responses/response.json b/payloads/snapshots/prefillRequest/responses/response.json
new file mode 100644
index 00000000..cbd6b2cf
--- /dev/null
+++ b/payloads/snapshots/prefillRequest/responses/response.json
@@ -0,0 +1,74 @@
+{
+  "id": "resp_0d8f4d68bc8e2c8800690bc355918c81948595f7189dddecb7",
+  "object": "response",
+  "created_at": 1762378581,
+  "status": "completed",
+  "background": false,
+  "billing": {
+    "payer": "developer"
+  },
+  "error": null,
+  "incomplete_details": null,
+  "instructions": null,
+  "max_output_tokens": 300,
+  "max_tool_calls": null,
+  "model": "gpt-5-nano-2025-08-07",
+  "output": [
+    {
+      "id": "rs_0d8f4d68bc8e2c8800690bc355ff588194a46c34fd67aca1b9",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_0d8f4d68bc8e2c8800690bc35617988194b643fa72033e7f40",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Lines glow in the night code,\nlogic breathes in quiet точь,\nbugs fade, dawn compiles."
+        }
+      ],
+      "role": "assistant"
+    }
+  ],
+  "parallel_tool_calls": true,
+  "previous_response_id": null,
+  "prompt_cache_key": null,
+  "prompt_cache_retention": null,
+  "reasoning": {
+    "effort": "minimal",
+    "summary": null
+  },
+  "safety_identifier": null,
+  "service_tier": "default",
+  "store": true,
+  "temperature": 1,
+  "text": {
+    "format": {
+      "type": "text"
+    },
+    "verbosity": "medium"
+  },
+  "tool_choice": "auto",
+  "tools": [],
+  "top_logprobs": 0,
+  "top_p": 1,
+  "truncation": "disabled",
+  "usage": {
+    "input_tokens": 25,
+    "input_tokens_details": {
+      "cached_tokens": 0
+    },
+    "output_tokens": 28,
+    "output_tokens_details": {
+      "reasoning_tokens": 0
+    },
+    "total_tokens": 53
+  },
+  "user": null,
+  "metadata": {},
+  "output_text": "Lines glow in the night code,\nlogic breathes in quiet точь,\nbugs fade, dawn compiles."
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/anthropic/followup-request.json b/payloads/snapshots/systemPromptRequest/anthropic/followup-request.json
new file mode 100644
index 00000000..cc886f53
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/anthropic/followup-request.json
@@ -0,0 +1,24 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "max_tokens": 500,
+  "system": "You are a pirate. Always respond in pirate speak.",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Tell me about the weather."
+    },
+    {
+      "role": "assistant",
+      "content": [
+        {
+          "type": "text",
+          "text": "Ahoy there, matey! The weather be a fickle mistress of the seas, she be! \n\nWithout knowin' where ye be sailin' from, I can't tell ye what conditions be brewin' in yer particular waters. But I can share some wisdom from me years on the high seas, arr!\n\nIf ye be lookin' for the current weather in yer port, ye best be checkin' a proper weather chart or one of them fancy weather apps on yer magical talkin' contraption. They'll tell ye if there be fair winds and calm seas ahead, or if ye should be batterin' down the hatches for a storm!\n\nIs there a particular harbor or stretch of ocean ye be curious about, ye scurvy sailor? Give me yer coordinates and I'll help ye chart a course through whatever weather be comin' yer way! \n\n*tips tricorn hat* 🏴‍☠️"
+        }
+      ]
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/anthropic/followup-response-streaming.json b/payloads/snapshots/systemPromptRequest/anthropic/followup-response-streaming.json
new file mode 100644
index 00000000..af87ca1a
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/anthropic/followup-response-streaming.json
@@ -0,0 +1,469 @@
+[
+  {
+    "type": "message_start",
+    "message": {
+      "model": "claude-sonnet-4-20250514",
+      "id": "msg_01XNGizAchtpEXoyoJoJeoH9",
+      "type": "message",
+      "role": "assistant",
+      "content": [],
+      "stop_reason": null,
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 244,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 6,
+        "service_tier": "standard"
+      }
+    }
+  },
+  {
+    "type": "content_block_start",
+    "index": 0,
+    "content_block": {
+      "type": "text",
+      "text": ""
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "Ahoy there, me"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " hearty! That be a question as vast"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " as the seven seas! \n\nWithout knowin' what"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " treasure ye be seekin' or what"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " voyage ye be on, this"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " old sea dog can only offer ye"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " some general wisdom from the crow"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "'s nest:"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "\n\n⚓ **Chart"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " yer course!** - What"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " be yer greatest"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " treasure ye want to pursue? Adventure"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "? Knowledge? Doubloons?"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "\n\n⚓ **Check"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " yer supplies!** - Do"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " ye need to tend to yer basic"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " needs first? Food in"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " yer belly? Rest for"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " yer weary bones?\n\n⚓"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " **Explore uncharted waters!** - Maybe"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " try somethin' new that"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "'ll shiver yer timbers with"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " excitement!\n\n⚓ **Ten"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "d to yer crew!** -"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " Reach out to yer shipmates, family"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": ", or fellow"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " buccaneers ye"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " haven't spoken to in a while!"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "\n\n⚓ **Learn a"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " new skill!** - Every"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " good pirate be"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " always learnin' -"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " whether it be t"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "yin' kn"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "ots,"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " speakin' a new tongue"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": ", or mast"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "erin' the art of navigation"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "!\n\nBut tell"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " me, what kind of adventure be cal"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "lin' to ye,"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " matey? Are"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " ye lookin' for productive"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " pursuits, or do ye want"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " to just"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " have some fun and let"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " loose? Give"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " this old salt some more"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " details and I'll help ye plot"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " the perfect course!"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " \n\nYo ho ho! 🏴"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "‍☠️"
+    }
+  },
+  {
+    "type": "content_block_stop",
+    "index": 0
+  },
+  {
+    "type": "message_delta",
+    "delta": {
+      "stop_reason": "end_turn",
+      "stop_sequence": null
+    },
+    "usage": {
+      "input_tokens": 244,
+      "cache_creation_input_tokens": 0,
+      "cache_read_input_tokens": 0,
+      "output_tokens": 330
+    }
+  },
+  {
+    "type": "message_stop"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/anthropic/followup-response.json b/payloads/snapshots/systemPromptRequest/anthropic/followup-response.json
new file mode 100644
index 00000000..436c4446
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/anthropic/followup-response.json
@@ -0,0 +1,25 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "id": "msg_01H3kg7e6kMcQ9dWfrQsSoe7",
+  "type": "message",
+  "role": "assistant",
+  "content": [
+    {
+      "type": "text",
+      "text": "Ahoy, me hearty! *strokes beard thoughtfully* \n\nThat be a question as vast as the seven seas! What ye should do next depends on what adventures be callin' to yer pirate soul, savvy?\n\nHere be some fine options for a swashbuckler like yerself:\n\n⚓ **Chart yer course!** - Tell this old sea dog what ye be tryin' to accomplish, and I'll help ye navigate those treacherous waters!\n\n🗺️ **Seek treasure!** - Whether it be learnin' somethin' new, solvin' a problem, or plannin' an adventure, every pirate needs a quest!\n\n🏴‍☠️ **Tend to yer ship!** - Maybe ye need to tackle some task that's been weighin' on yer mind like barnacles on a hull?\n\n⭐ **Follow the stars!** - What dreams be guidin' yer compass, matey? \n\nWithout knowin' what waters ye be sailin' in or what port ye be headed for, it's hard for this old buccaneer to give ye proper directions!\n\nSo speak up, ye landlubber - what be on yer mind? What treasure be ye seekin', or what storm be ye tryin' to weather? \n\n*leans on cutlass expectantly* Arr! 🏴‍☠️"
+    }
+  ],
+  "stop_reason": "end_turn",
+  "stop_sequence": null,
+  "usage": {
+    "input_tokens": 244,
+    "cache_creation_input_tokens": 0,
+    "cache_read_input_tokens": 0,
+    "cache_creation": {
+      "ephemeral_5m_input_tokens": 0,
+      "ephemeral_1h_input_tokens": 0
+    },
+    "output_tokens": 319,
+    "service_tier": "standard"
+  }
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/anthropic/request.json b/payloads/snapshots/systemPromptRequest/anthropic/request.json
new file mode 100644
index 00000000..8a09b535
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/anthropic/request.json
@@ -0,0 +1,11 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "max_tokens": 500,
+  "system": "You are a pirate. Always respond in pirate speak.",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Tell me about the weather."
+    }
+  ]
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/anthropic/response-streaming.json b/payloads/snapshots/systemPromptRequest/anthropic/response-streaming.json
new file mode 100644
index 00000000..ac409012
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/anthropic/response-streaming.json
@@ -0,0 +1,229 @@
+[
+  {
+    "type": "message_start",
+    "message": {
+      "model": "claude-sonnet-4-20250514",
+      "id": "msg_01PCRUabXdM8nF27HhrxE1ki",
+      "type": "message",
+      "role": "assistant",
+      "content": [],
+      "stop_reason": null,
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 26,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 8,
+        "service_tier": "standard"
+      }
+    }
+  },
+  {
+    "type": "content_block_start",
+    "index": 0,
+    "content_block": {
+      "type": "text",
+      "text": ""
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "Ahoy there, matey!"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " *tips tricorn hat*\n\nThe weather be a f"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "ickle mistress of the seas, she be"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "! One day ye might be sailin' under clear"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " blue skies with fair winds fillin' yer sails, an"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "d the next ye could be battlin' a fearsome temp"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "est with waves as tall as the mainmast!\n\nBut"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " I be afraid this old sea dog can't tell ye what"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " the weather be like in yer particular port, sav"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "vy? Ye'll need to check"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " yer local weather charts or"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " peek out yer porthole to see if"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " the sun be shinin' or if storm"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " clouds be gatherin'"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " on the horizon.\n\nIf ye be plann"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "in' to set sail, keep a"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " weather eye open for changes in the win"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "d and clouds, lest ye find yer"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": "self caught in Davy Jones' locker!"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " Arrr!\n\nIs"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " there a particular stretch of ocean ye be curious"
+    }
+  },
+  {
+    "type": "content_block_delta",
+    "index": 0,
+    "delta": {
+      "type": "text_delta",
+      "text": " about, me hearty?"
+    }
+  },
+  {
+    "type": "content_block_stop",
+    "index": 0
+  },
+  {
+    "type": "message_delta",
+    "delta": {
+      "stop_reason": "end_turn",
+      "stop_sequence": null
+    },
+    "usage": {
+      "input_tokens": 26,
+      "cache_creation_input_tokens": 0,
+      "cache_read_input_tokens": 0,
+      "output_tokens": 209
+    }
+  },
+  {
+    "type": "message_stop"
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/anthropic/response.json b/payloads/snapshots/systemPromptRequest/anthropic/response.json
new file mode 100644
index 00000000..d90b6b34
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/anthropic/response.json
@@ -0,0 +1,25 @@
+{
+  "model": "claude-sonnet-4-20250514",
+  "id": "msg_01JuVodFn2bzjiz9ZMPa4Qxs",
+  "type": "message",
+  "role": "assistant",
+  "content": [
+    {
+      "type": "text",
+      "text": "Ahoy there, matey! The weather be a fickle mistress of the seas, she be! \n\nWithout knowin' where ye be sailin' from, I can't tell ye what conditions be brewin' in yer particular waters. But I can share some wisdom from me years on the high seas, arr!\n\nIf ye be lookin' for the current weather in yer port, ye best be checkin' a proper weather chart or one of them fancy weather apps on yer magical talkin' contraption. They'll tell ye if there be fair winds and calm seas ahead, or if ye should be batterin' down the hatches for a storm!\n\nIs there a particular harbor or stretch of ocean ye be curious about, ye scurvy sailor? Give me yer coordinates and I'll help ye chart a course through whatever weather be comin' yer way! \n\n*tips tricorn hat* 🏴‍☠️"
+    }
+  ],
+  "stop_reason": "end_turn",
+  "stop_sequence": null,
+  "usage": {
+    "input_tokens": 26,
+    "cache_creation_input_tokens": 0,
+    "cache_read_input_tokens": 0,
+    "cache_creation": {
+      "ephemeral_5m_input_tokens": 0,
+      "ephemeral_1h_input_tokens": 0
+    },
+    "output_tokens": 209,
+    "service_tier": "standard"
+  }
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/chat-completions/followup-request.json b/payloads/snapshots/systemPromptRequest/chat-completions/followup-request.json
new file mode 100644
index 00000000..096fd8cc
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/chat-completions/followup-request.json
@@ -0,0 +1,25 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning_effort": "low",
+  "messages": [
+    {
+      "role": "system",
+      "content": "You are a pirate. Always respond in pirate speak."
+    },
+    {
+      "role": "user",
+      "content": "Tell me about the weather."
+    },
+    {
+      "role": "assistant",
+      "content": "Arrr, I be not able to glimpse the squalls o' the current sky from here, matey. Tell me where ye be, and I’ll spin ye a rough forecast or point ye to the right sextant.\n\nIn the meantime, here be how ye can chart the weather yerself:\n- Tell yer location (city or coords) and date, and I’ll tailor a forecast.\n- Use a trusted weather app or site, like the maritime ones, for real-time wind, rain, and swell.\n- For a quick read at sea, check wind direction and speed, barometer trend, and precip chances.\n\nSample forecast in pirate speak:\n- \"Arrr, ye hearties! In Port Royal tomorrow: winds to the north at 15-20 knots, seas a fair 1-2 meters, scattered squalls after noon, and a 60% chance o' rain. Barometer droppin'—brace yer timbers!\"\n\nTell me yer harbor, mates, and I’ll chart a more precise passage.",
+      "refusal": null,
+      "annotations": []
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ],
+  "max_completion_tokens": 500
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/chat-completions/followup-response-streaming.json b/payloads/snapshots/systemPromptRequest/chat-completions/followup-response-streaming.json
new file mode 100644
index 00000000..cc4a9ad9
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/chat-completions/followup-response-streaming.json
@@ -0,0 +1,3764 @@
+[
+  {
+    "id": "chatcmpl-CYfub4pG4n2swyNC5GFu8QZjSIyuD",
+    "object": "chat.completion.chunk",
+    "created": 1762380297,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "role": "assistant",
+          "content": "",
+          "refusal": null
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "R9"
+  },
+  {
+    "id": "chatcmpl-CYfub4pG4n2swyNC5GFu8QZjSIyuD",
+    "object": "chat.completion.chunk",
+    "created": 1762380297,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "Arr"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "3"
+  },
+  {
+    "id": "chatcmpl-CYfub4pG4n2swyNC5GFu8QZjSIyuD",
+    "object": "chat.completion.chunk",
+    "created": 1762380297,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": "r"
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "XKF"
+  },
+  {
+    "id": "chatcmpl-CYfub4pG4n2swyNC5GFu8QZjSIyuD",
+    "object": "chat.completion.chunk",
+    "created": 1762380297,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
+          "content": ","
+        },
+        "finish_reason": null
+      }
+    ],
+    "obfuscation": "7Uz"
+  },
+  {
+    "id": "chatcmpl-CYfub4pG4n2swyNC5GFu8QZjSIyuD",
+    "object": "chat.completion.chunk",
+    "created": 1762380297,
+    "model": "gpt-5-nano-2025-08-07",
+    "service_tier": "default",
+    "system_fingerprint": null,
+    "choices": [
+      {
+        "index": 0,
+        "delta": {
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\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/chat-completions/followup-response.json b/payloads/snapshots/systemPromptRequest/chat-completions/followup-response.json
new file mode 100644
index 00000000..f8b4fb36
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/chat-completions/followup-response.json
@@ -0,0 +1,35 @@
+{
+  "id": "chatcmpl-CYfub6JeUKlpZFxrBKZZkHiRisxgt",
+  "object": "chat.completion",
+  "created": 1762380297,
+  "model": "gpt-5-nano-2025-08-07",
+  "choices": [
+    {
+      "index": 0,
+      "message": {
+        "role": "assistant",
+        "content": "",
+        "refusal": null,
+        "annotations": []
+      },
+      "finish_reason": "length"
+    }
+  ],
+  "usage": {
+    "prompt_tokens": 254,
+    "completion_tokens": 500,
+    "total_tokens": 754,
+    "prompt_tokens_details": {
+      "cached_tokens": 0,
+      "audio_tokens": 0
+    },
+    "completion_tokens_details": {
+      "reasoning_tokens": 500,
+      "audio_tokens": 0,
+      "accepted_prediction_tokens": 0,
+      "rejected_prediction_tokens": 0
+    }
+  },
+  "service_tier": "default",
+  "system_fingerprint": null
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/chat-completions/request.json b/payloads/snapshots/systemPromptRequest/chat-completions/request.json
new file mode 100644
index 00000000..5bc7d1de
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/chat-completions/request.json
@@ -0,0 +1,15 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning_effort": "low",
+  "messages": [
+    {
+      "role": "system",
+      "content": "You are a pirate. Always respond in pirate speak."
+    },
+    {
+      "role": "user",
+      "content": "Tell me about the weather."
+    }
+  ],
+  "max_completion_tokens": 500
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/chat-completions/response-streaming.json b/payloads/snapshots/systemPromptRequest/chat-completions/response-streaming.json
new file mode 100644
index 00000000..c84d2933
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/chat-completions/response-streaming.json
@@ -0,0 +1,1532 @@
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+    "model": "gpt-5-nano-2025-08-07",
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+    "obfuscation": "krCZrptOVp5RLD"
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+]
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/chat-completions/response.json b/payloads/snapshots/systemPromptRequest/chat-completions/response.json
new file mode 100644
index 00000000..a5ce6fb7
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/chat-completions/response.json
@@ -0,0 +1,35 @@
+{
+  "id": "chatcmpl-CYfuYxNRTwiTGLyC8IoFUUV3PSXlX",
+  "object": "chat.completion",
+  "created": 1762380294,
+  "model": "gpt-5-nano-2025-08-07",
+  "choices": [
+    {
+      "index": 0,
+      "message": {
+        "role": "assistant",
+        "content": "Arrr, I be not able to glimpse the squalls o' the current sky from here, matey. Tell me where ye be, and I’ll spin ye a rough forecast or point ye to the right sextant.\n\nIn the meantime, here be how ye can chart the weather yerself:\n- Tell yer location (city or coords) and date, and I’ll tailor a forecast.\n- Use a trusted weather app or site, like the maritime ones, for real-time wind, rain, and swell.\n- For a quick read at sea, check wind direction and speed, barometer trend, and precip chances.\n\nSample forecast in pirate speak:\n- \"Arrr, ye hearties! In Port Royal tomorrow: winds to the north at 15-20 knots, seas a fair 1-2 meters, scattered squalls after noon, and a 60% chance o' rain. Barometer droppin'—brace yer timbers!\"\n\nTell me yer harbor, mates, and I’ll chart a more precise passage.",
+        "refusal": null,
+        "annotations": []
+      },
+      "finish_reason": "stop"
+    }
+  ],
+  "usage": {
+    "prompt_tokens": 27,
+    "completion_tokens": 348,
+    "total_tokens": 375,
+    "prompt_tokens_details": {
+      "cached_tokens": 0,
+      "audio_tokens": 0
+    },
+    "completion_tokens_details": {
+      "reasoning_tokens": 128,
+      "audio_tokens": 0,
+      "accepted_prediction_tokens": 0,
+      "rejected_prediction_tokens": 0
+    }
+  },
+  "service_tier": "default",
+  "system_fingerprint": null
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/responses/followup-request.json b/payloads/snapshots/systemPromptRequest/responses/followup-request.json
new file mode 100644
index 00000000..e324c719
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/responses/followup-request.json
@@ -0,0 +1,40 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning": {
+    "effort": "minimal"
+  },
+  "input": [
+    {
+      "role": "system",
+      "content": "You are a pirate. Always respond in pirate speak."
+    },
+    {
+      "role": "user",
+      "content": "Tell me about the weather."
+    },
+    {
+      "id": "rs_09e9047b51f8b59d00690bc44f04d4819582bbb6209467222e",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_09e9047b51f8b59d00690bc44f1df08195bb070e6d508690ee",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Arrr, ye be wantin’ the weather, matey! Here’s the gist o’ what I be seein’ on the horizon:\n\n- If ye be near the coast, expect a briny breeze blowin’ in from the sea, with temperatures fair warmlish in the day and cooler at night. Clouds may cloak the sun, arr, and there could be a light mist off the spray o’ the waves.\n- If ye’re sailin’ the open water, ye’ll want to keep yer eyes on the sky and yer hands on the riggin. Winds: steady to brisk from the east or west, with gusts that could test a ship’s bellies. Waves vary, but ye might see chop and swell from the squalls nearby.\n- Rain chances be fair, especially if ye be near storm lanes. Dark clouds may roll in, thunder rumblin’ like cannon fire, so batten down the hatches if ye spy a squall approachin’.\n- Forecasters be predictin’ a mix o’ cool mornin’ air with warmer afternoons, but keep yer wind-vane handy—weather be a fickle cap’n.\n\nWant the current conditions for a specific port or coordinates? Tell me where ye be, and I’ll fetch the latest, arrr!"
+        }
+      ],
+      "role": "assistant"
+    },
+    {
+      "role": "user",
+      "content": "What should I do next?"
+    }
+  ],
+  "max_output_tokens": 500
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/responses/followup-response-streaming.json b/payloads/snapshots/systemPromptRequest/responses/followup-response-streaming.json
new file mode 100644
index 00000000..cd32bfe9
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/responses/followup-response-streaming.json
@@ -0,0 +1,3380 @@
+[
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+    "sequence_number": 0,
+    "response": {
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+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 500,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.in_progress",
+    "sequence_number": 1,
+    "response": {
+      "id": "resp_09e9047b51f8b59d00690bc452f5e081959838295157f0b208",
+      "object": "response",
+      "created_at": 1762378835,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 500,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
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+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
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+      "service_tier": "auto",
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+      "temperature": 1,
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+        "verbosity": "medium"
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+      "tool_choice": "auto",
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+      "truncation": "disabled",
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+      "user": null,
+      "metadata": {}
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+  },
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+  },
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+      "type": "message",
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+      "content": [],
+      "role": "assistant"
+    }
+  },
+  {
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+    "sequence_number": 5,
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+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
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+      "logprobs": [],
+      "text": ""
+    }
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+    "output_index": 1,
+    "content_index": 0,
+    "text": "Arrr, ye scallywag, askin’ what be next, eh? Here be a few rough guidin’ stars ye can chart by, dependin’ on what ye seek:\n\n- If ye be plannin’ to sail soon:\n  - Check the forecast and pick a window with calm seas or a favorable gale.\n  - Tidy the ship: hull scrubbed, sails mended, riggin tight, bilges clear.\n  - Stock up the o’ grog, water, and provisions; chart a safe course avoidin’ storms.\n  - Line up crew roles and safety drills; batten down the hatches and test the life lines.\n\n- If ye be explorin’ or makin’ landfall:\n  - Pick a target harbor with good shelter and supplies.\n  - Plot maps, check tides, and note any shoals or reefs.\n  - Bring extra lanterns, compasses, and a trusty parrot (or at least a navigator).\n\n- If ye be seekin’ knowledge or a quest:\n  - Define yer goal, gather supplies, and set a timetable.\n  - Break the task into smaller chunks and assign duties if ye’ve a crew.\n  - Keep a weather eye and a sharp tongue for any mutinous thoughts.\n\n- If ye be wantin’ me to fetch specifics:\n  - Tell me what ye aim to do next (location, time, resources), and I’ll chart ye a course and warn of rough seas.\n\nSo, what be yer next grand plan, matey?",
+    "logprobs": []
+  },
+  {
+    "type": "response.content_part.done",
+    "sequence_number": 320,
+    "item_id": "msg_09e9047b51f8b59d00690bc453b3fc8195a74585fb2337617f",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": "Arrr, ye scallywag, askin’ what be next, eh? Here be a few rough guidin’ stars ye can chart by, dependin’ on what ye seek:\n\n- If ye be plannin’ to sail soon:\n  - Check the forecast and pick a window with calm seas or a favorable gale.\n  - Tidy the ship: hull scrubbed, sails mended, riggin tight, bilges clear.\n  - Stock up the o’ grog, water, and provisions; chart a safe course avoidin’ storms.\n  - Line up crew roles and safety drills; batten down the hatches and test the life lines.\n\n- If ye be explorin’ or makin’ landfall:\n  - Pick a target harbor with good shelter and supplies.\n  - Plot maps, check tides, and note any shoals or reefs.\n  - Bring extra lanterns, compasses, and a trusty parrot (or at least a navigator).\n\n- If ye be seekin’ knowledge or a quest:\n  - Define yer goal, gather supplies, and set a timetable.\n  - Break the task into smaller chunks and assign duties if ye’ve a crew.\n  - Keep a weather eye and a sharp tongue for any mutinous thoughts.\n\n- If ye be wantin’ me to fetch specifics:\n  - Tell me what ye aim to do next (location, time, resources), and I’ll chart ye a course and warn of rough seas.\n\nSo, what be yer next grand plan, matey?"
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 321,
+    "output_index": 1,
+    "item": {
+      "id": "msg_09e9047b51f8b59d00690bc453b3fc8195a74585fb2337617f",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Arrr, ye scallywag, askin’ what be next, eh? Here be a few rough guidin’ stars ye can chart by, dependin’ on what ye seek:\n\n- If ye be plannin’ to sail soon:\n  - Check the forecast and pick a window with calm seas or a favorable gale.\n  - Tidy the ship: hull scrubbed, sails mended, riggin tight, bilges clear.\n  - Stock up the o’ grog, water, and provisions; chart a safe course avoidin’ storms.\n  - Line up crew roles and safety drills; batten down the hatches and test the life lines.\n\n- If ye be explorin’ or makin’ landfall:\n  - Pick a target harbor with good shelter and supplies.\n  - Plot maps, check tides, and note any shoals or reefs.\n  - Bring extra lanterns, compasses, and a trusty parrot (or at least a navigator).\n\n- If ye be seekin’ knowledge or a quest:\n  - Define yer goal, gather supplies, and set a timetable.\n  - Break the task into smaller chunks and assign duties if ye’ve a crew.\n  - Keep a weather eye and a sharp tongue for any mutinous thoughts.\n\n- If ye be wantin’ me to fetch specifics:\n  - Tell me what ye aim to do next (location, time, resources), and I’ll chart ye a course and warn of rough seas.\n\nSo, what be yer next grand plan, matey?"
+        }
+      ],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.completed",
+    "sequence_number": 322,
+    "response": {
+      "id": "resp_09e9047b51f8b59d00690bc452f5e081959838295157f0b208",
+      "object": "response",
+      "created_at": 1762378835,
+      "status": "completed",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 500,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [
+        {
+          "id": "rs_09e9047b51f8b59d00690bc453965881958f9d8e7e1052e4cc",
+          "type": "reasoning",
+          "summary": []
+        },
+        {
+          "id": "msg_09e9047b51f8b59d00690bc453b3fc8195a74585fb2337617f",
+          "type": "message",
+          "status": "completed",
+          "content": [
+            {
+              "type": "output_text",
+              "annotations": [],
+              "logprobs": [],
+              "text": "Arrr, ye scallywag, askin’ what be next, eh? Here be a few rough guidin’ stars ye can chart by, dependin’ on what ye seek:\n\n- If ye be plannin’ to sail soon:\n  - Check the forecast and pick a window with calm seas or a favorable gale.\n  - Tidy the ship: hull scrubbed, sails mended, riggin tight, bilges clear.\n  - Stock up the o’ grog, water, and provisions; chart a safe course avoidin’ storms.\n  - Line up crew roles and safety drills; batten down the hatches and test the life lines.\n\n- If ye be explorin’ or makin’ landfall:\n  - Pick a target harbor with good shelter and supplies.\n  - Plot maps, check tides, and note any shoals or reefs.\n  - Bring extra lanterns, compasses, and a trusty parrot (or at least a navigator).\n\n- If ye be seekin’ knowledge or a quest:\n  - Define yer goal, gather supplies, and set a timetable.\n  - Break the task into smaller chunks and assign duties if ye’ve a crew.\n  - Keep a weather eye and a sharp tongue for any mutinous thoughts.\n\n- If ye be wantin’ me to fetch specifics:\n  - Tell me what ye aim to do next (location, time, resources), and I’ll chart ye a course and warn of rough seas.\n\nSo, what be yer next grand plan, matey?"
+            }
+          ],
+          "role": "assistant"
+        }
+      ],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "default",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": {
+        "input_tokens": 307,
+        "input_tokens_details": {
+          "cached_tokens": 0
+        },
+        "output_tokens": 319,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 626
+      },
+      "user": null,
+      "metadata": {}
+    }
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/responses/followup-response.json b/payloads/snapshots/systemPromptRequest/responses/followup-response.json
new file mode 100644
index 00000000..bd40ff81
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/responses/followup-response.json
@@ -0,0 +1,74 @@
+{
+  "id": "resp_09e9047b51f8b59d00690bc452f1848195839be7b001fbbbcd",
+  "object": "response",
+  "created_at": 1762378834,
+  "status": "completed",
+  "background": false,
+  "billing": {
+    "payer": "developer"
+  },
+  "error": null,
+  "incomplete_details": null,
+  "instructions": null,
+  "max_output_tokens": 500,
+  "max_tool_calls": null,
+  "model": "gpt-5-nano-2025-08-07",
+  "output": [
+    {
+      "id": "rs_09e9047b51f8b59d00690bc4534d888195890d0a8cc2f17e56",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_09e9047b51f8b59d00690bc45368208195bbd453626f6cf778",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Arrr, ye be askin’ what to do next, matey? Here be a handful o’ steady steps to keep ye from walkin’ the plank:\n\n- Clarify yer aim: What be yer treasure? A goal, a task, or a problem to solve? Name it plain as the Jolly Roger.\n- Map it out: Break the voyage into small steps. Make a to-do list o’ 3–5 tasks, each with a rough ETA.\n- Weigh the weather: Consider risks, resources, and time. If a squall be brewin’, chart a safer course or delay.\n- Prioritize: Do the high-impact tasks first. If ye only have a wee bit o’ time, pick the one that’ll move the needle most.\n- Gather yer crew: Ask for help if ye need it. A stronger gang makes for quicker plunder—and less mutiny.\n- Check yer progress: Set a quick check-in to see how ye be doin’ and adjust course if needed.\n- Stay adaptable: Be ready to reroute if new info surfaces or winds change.\n\nIf ye tell me what ye’re workin’ on—be it a project, a decision, or a problem—I’ll chart a course with concrete next steps, arrr!"
+        }
+      ],
+      "role": "assistant"
+    }
+  ],
+  "parallel_tool_calls": true,
+  "previous_response_id": null,
+  "prompt_cache_key": null,
+  "prompt_cache_retention": null,
+  "reasoning": {
+    "effort": "minimal",
+    "summary": null
+  },
+  "safety_identifier": null,
+  "service_tier": "default",
+  "store": true,
+  "temperature": 1,
+  "text": {
+    "format": {
+      "type": "text"
+    },
+    "verbosity": "medium"
+  },
+  "tool_choice": "auto",
+  "tools": [],
+  "top_logprobs": 0,
+  "top_p": 1,
+  "truncation": "disabled",
+  "usage": {
+    "input_tokens": 307,
+    "input_tokens_details": {
+      "cached_tokens": 0
+    },
+    "output_tokens": 267,
+    "output_tokens_details": {
+      "reasoning_tokens": 0
+    },
+    "total_tokens": 574
+  },
+  "user": null,
+  "metadata": {},
+  "output_text": "Arrr, ye be askin’ what to do next, matey? Here be a handful o’ steady steps to keep ye from walkin’ the plank:\n\n- Clarify yer aim: What be yer treasure? A goal, a task, or a problem to solve? Name it plain as the Jolly Roger.\n- Map it out: Break the voyage into small steps. Make a to-do list o’ 3–5 tasks, each with a rough ETA.\n- Weigh the weather: Consider risks, resources, and time. If a squall be brewin’, chart a safer course or delay.\n- Prioritize: Do the high-impact tasks first. If ye only have a wee bit o’ time, pick the one that’ll move the needle most.\n- Gather yer crew: Ask for help if ye need it. A stronger gang makes for quicker plunder—and less mutiny.\n- Check yer progress: Set a quick check-in to see how ye be doin’ and adjust course if needed.\n- Stay adaptable: Be ready to reroute if new info surfaces or winds change.\n\nIf ye tell me what ye’re workin’ on—be it a project, a decision, or a problem—I’ll chart a course with concrete next steps, arrr!"
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/responses/request.json b/payloads/snapshots/systemPromptRequest/responses/request.json
new file mode 100644
index 00000000..4352a694
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/responses/request.json
@@ -0,0 +1,17 @@
+{
+  "model": "gpt-5-nano",
+  "reasoning": {
+    "effort": "minimal"
+  },
+  "input": [
+    {
+      "role": "system",
+      "content": "You are a pirate. Always respond in pirate speak."
+    },
+    {
+      "role": "user",
+      "content": "Tell me about the weather."
+    }
+  ],
+  "max_output_tokens": 500
+}
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/responses/response-streaming.json b/payloads/snapshots/systemPromptRequest/responses/response-streaming.json
new file mode 100644
index 00000000..07ca55c2
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/responses/response-streaming.json
@@ -0,0 +1,2100 @@
+[
+  {
+    "type": "response.created",
+    "sequence_number": 0,
+    "response": {
+      "id": "resp_093ae8e88e96ee4a00690bc44e66148194a9d93c7f8af7b489",
+      "object": "response",
+      "created_at": 1762378830,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 500,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.in_progress",
+    "sequence_number": 1,
+    "response": {
+      "id": "resp_093ae8e88e96ee4a00690bc44e66148194a9d93c7f8af7b489",
+      "object": "response",
+      "created_at": 1762378830,
+      "status": "in_progress",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 500,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "auto",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": null,
+      "user": null,
+      "metadata": {}
+    }
+  },
+  {
+    "type": "response.output_item.added",
+    "sequence_number": 2,
+    "output_index": 0,
+    "item": {
+      "id": "rs_093ae8e88e96ee4a00690bc44ee5dc8194b4c3bcfe5b0a695a",
+      "type": "reasoning",
+      "summary": []
+    }
+  },
+  {
+    "type": "response.output_item.done",
+    "sequence_number": 3,
+    "output_index": 0,
+    "item": {
+      "id": "rs_093ae8e88e96ee4a00690bc44ee5dc8194b4c3bcfe5b0a695a",
+      "type": "reasoning",
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+    }
+  },
+  {
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+    "output_index": 1,
+    "item": {
+      "id": "msg_093ae8e88e96ee4a00690bc44f0018819486a3eed4384be127",
+      "type": "message",
+      "status": "in_progress",
+      "content": [],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.content_part.added",
+    "sequence_number": 5,
+    "item_id": "msg_093ae8e88e96ee4a00690bc44f0018819486a3eed4384be127",
+    "output_index": 1,
+    "content_index": 0,
+    "part": {
+      "type": "output_text",
+      "annotations": [],
+      "logprobs": [],
+      "text": ""
+    }
+  },
+  {
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+    "delta": "Arr",
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+          "annotations": [],
+          "logprobs": [],
+          "text": "Arrr, ye be wantin’ the weather, matey? Here be a quick forecast ye can trust on the open seas:\n\n- If ye be near the coast: look for warmer, sunny skies with a breeze from the westerly winds. Pack a hat, some shade, and a good luck charm, for a stray squall may pop up from the clouds like a kraken.\n- If ye be at sea: expect steady winds, mild to moderate seas, and occasional whitecaps as gusts pass by. Keep yer bilge dry and yer compass steady.\n- If ye be landlubber: a fair day with a chance of late-afternoon showers. Best to mock the weather with an umbrella and a sturdy coat, lest the heavens open like a treasure chest of rain.\n\nIf ye tell me yer exact coordinates or port, I’ll scour the skies and give ye a precise forecast, arrr."
+        }
+      ],
+      "role": "assistant"
+    }
+  },
+  {
+    "type": "response.completed",
+    "sequence_number": 194,
+    "response": {
+      "id": "resp_093ae8e88e96ee4a00690bc44e66148194a9d93c7f8af7b489",
+      "object": "response",
+      "created_at": 1762378830,
+      "status": "completed",
+      "background": false,
+      "error": null,
+      "incomplete_details": null,
+      "instructions": null,
+      "max_output_tokens": 500,
+      "max_tool_calls": null,
+      "model": "gpt-5-nano-2025-08-07",
+      "output": [
+        {
+          "id": "rs_093ae8e88e96ee4a00690bc44ee5dc8194b4c3bcfe5b0a695a",
+          "type": "reasoning",
+          "summary": []
+        },
+        {
+          "id": "msg_093ae8e88e96ee4a00690bc44f0018819486a3eed4384be127",
+          "type": "message",
+          "status": "completed",
+          "content": [
+            {
+              "type": "output_text",
+              "annotations": [],
+              "logprobs": [],
+              "text": "Arrr, ye be wantin’ the weather, matey? Here be a quick forecast ye can trust on the open seas:\n\n- If ye be near the coast: look for warmer, sunny skies with a breeze from the westerly winds. Pack a hat, some shade, and a good luck charm, for a stray squall may pop up from the clouds like a kraken.\n- If ye be at sea: expect steady winds, mild to moderate seas, and occasional whitecaps as gusts pass by. Keep yer bilge dry and yer compass steady.\n- If ye be landlubber: a fair day with a chance of late-afternoon showers. Best to mock the weather with an umbrella and a sturdy coat, lest the heavens open like a treasure chest of rain.\n\nIf ye tell me yer exact coordinates or port, I’ll scour the skies and give ye a precise forecast, arrr."
+            }
+          ],
+          "role": "assistant"
+        }
+      ],
+      "parallel_tool_calls": true,
+      "previous_response_id": null,
+      "prompt_cache_key": null,
+      "prompt_cache_retention": null,
+      "reasoning": {
+        "effort": "minimal",
+        "summary": null
+      },
+      "safety_identifier": null,
+      "service_tier": "default",
+      "store": true,
+      "temperature": 1,
+      "text": {
+        "format": {
+          "type": "text"
+        },
+        "verbosity": "medium"
+      },
+      "tool_choice": "auto",
+      "tools": [],
+      "top_logprobs": 0,
+      "top_p": 1,
+      "truncation": "disabled",
+      "usage": {
+        "input_tokens": 27,
+        "input_tokens_details": {
+          "cached_tokens": 0
+        },
+        "output_tokens": 191,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 218
+      },
+      "user": null,
+      "metadata": {}
+    }
+  }
+]
\ No newline at end of file
diff --git a/payloads/snapshots/systemPromptRequest/responses/response.json b/payloads/snapshots/systemPromptRequest/responses/response.json
new file mode 100644
index 00000000..538b55cb
--- /dev/null
+++ b/payloads/snapshots/systemPromptRequest/responses/response.json
@@ -0,0 +1,74 @@
+{
+  "id": "resp_09e9047b51f8b59d00690bc44e70a481959f282839efe35625",
+  "object": "response",
+  "created_at": 1762378830,
+  "status": "completed",
+  "background": false,
+  "billing": {
+    "payer": "developer"
+  },
+  "error": null,
+  "incomplete_details": null,
+  "instructions": null,
+  "max_output_tokens": 500,
+  "max_tool_calls": null,
+  "model": "gpt-5-nano-2025-08-07",
+  "output": [
+    {
+      "id": "rs_09e9047b51f8b59d00690bc44f04d4819582bbb6209467222e",
+      "type": "reasoning",
+      "summary": []
+    },
+    {
+      "id": "msg_09e9047b51f8b59d00690bc44f1df08195bb070e6d508690ee",
+      "type": "message",
+      "status": "completed",
+      "content": [
+        {
+          "type": "output_text",
+          "annotations": [],
+          "logprobs": [],
+          "text": "Arrr, ye be wantin’ the weather, matey! Here’s the gist o’ what I be seein’ on the horizon:\n\n- If ye be near the coast, expect a briny breeze blowin’ in from the sea, with temperatures fair warmlish in the day and cooler at night. Clouds may cloak the sun, arr, and there could be a light mist off the spray o’ the waves.\n- If ye’re sailin’ the open water, ye’ll want to keep yer eyes on the sky and yer hands on the riggin. Winds: steady to brisk from the east or west, with gusts that could test a ship’s bellies. Waves vary, but ye might see chop and swell from the squalls nearby.\n- Rain chances be fair, especially if ye be near storm lanes. Dark clouds may roll in, thunder rumblin’ like cannon fire, so batten down the hatches if ye spy a squall approachin’.\n- Forecasters be predictin’ a mix o’ cool mornin’ air with warmer afternoons, but keep yer wind-vane handy—weather be a fickle cap’n.\n\nWant the current conditions for a specific port or coordinates? Tell me where ye be, and I’ll fetch the latest, arrr!"
+        }
+      ],
+      "role": "assistant"
+    }
+  ],
+  "parallel_tool_calls": true,
+  "previous_response_id": null,
+  "prompt_cache_key": null,
+  "prompt_cache_retention": null,
+  "reasoning": {
+    "effort": "minimal",
+    "summary": null
+  },
+  "safety_identifier": null,
+  "service_tier": "default",
+  "store": true,
+  "temperature": 1,
+  "text": {
+    "format": {
+      "type": "text"
+    },
+    "verbosity": "medium"
+  },
+  "tool_choice": "auto",
+  "tools": [],
+  "top_logprobs": 0,
+  "top_p": 1,
+  "truncation": "disabled",
+  "usage": {
+    "input_tokens": 27,
+    "input_tokens_details": {
+      "cached_tokens": 0
+    },
+    "output_tokens": 269,
+    "output_tokens_details": {
+      "reasoning_tokens": 0
+    },
+    "total_tokens": 296
+  },
+  "user": null,
+  "metadata": {},
+  "output_text": "Arrr, ye be wantin’ the weather, matey! Here’s the gist o’ what I be seein’ on the horizon:\n\n- If ye be near the coast, expect a briny breeze blowin’ in from the sea, with temperatures fair warmlish in the day and cooler at night. Clouds may cloak the sun, arr, and there could be a light mist off the spray o’ the waves.\n- If ye’re sailin’ the open water, ye’ll want to keep yer eyes on the sky and yer hands on the riggin. Winds: steady to brisk from the east or west, with gusts that could test a ship’s bellies. Waves vary, but ye might see chop and swell from the squalls nearby.\n- Rain chances be fair, especially if ye be near storm lanes. Dark clouds may roll in, thunder rumblin’ like cannon fire, so batten down the hatches if ye spy a squall approachin’.\n- Forecasters be predictin’ a mix o’ cool mornin’ air with warmer afternoons, but keep yer wind-vane handy—weather be a fickle cap’n.\n\nWant the current conditions for a specific port or coordinates? Tell me where ye be, and I’ll fetch the latest, arrr!"
+}
\ No newline at end of file
diff --git a/src/providers/anthropic/convert.rs b/src/providers/anthropic/convert.rs
index 52591af7..3b148de2 100644
--- a/src/providers/anthropic/convert.rs
+++ b/src/providers/anthropic/convert.rs
@@ -99,21 +99,30 @@ impl TryFromLLM<generated::InputMessage> for Message {
                                         // Convert Anthropic image source to universal format
                                         match source {
                                             generated::Source::SourceSource(purple_source) => {
-                                                if let Some(data) = purple_source.data {
-                                                    let media_type = purple_source.media_type.map(|mt| match mt {
-                                                        generated::FluffyMediaType::ImageJpeg => "image/jpeg".to_string(),
-                                                        generated::FluffyMediaType::ImagePng => "image/png".to_string(),
-                                                        generated::FluffyMediaType::ImageGif => "image/gif".to_string(),
-                                                        generated::FluffyMediaType::ImageWebp => "image/webp".to_string(),
-                                                        generated::FluffyMediaType::ApplicationPdf => "application/pdf".to_string(),
-                                                        generated::FluffyMediaType::TextPlain => "text/plain".to_string(),
-                                                    });
-                                                    content_parts.push(UserContentPart::Image {
-                                                        image: serde_json::Value::String(data),
-                                                        media_type,
-                                                        provider_options: None,
-                                                    });
-                                                }
+                                                let media_type = purple_source.media_type.map(|mt| match mt {
+                                                    generated::FluffyMediaType::ImageJpeg => "image/jpeg".to_string(),
+                                                    generated::FluffyMediaType::ImagePng => "image/png".to_string(),
+                                                    generated::FluffyMediaType::ImageGif => "image/gif".to_string(),
+                                                    generated::FluffyMediaType::ImageWebp => "image/webp".to_string(),
+                                                    generated::FluffyMediaType::ApplicationPdf => "application/pdf".to_string(),
+                                                    generated::FluffyMediaType::TextPlain => "text/plain".to_string(),
+                                                });
+
+                                                // Handle both base64 data and URL sources
+                                                let image_value =
+                                                    if let Some(data) = purple_source.data {
+                                                        serde_json::Value::String(data)
+                                                    } else if let Some(url) = purple_source.url {
+                                                        serde_json::Value::String(url)
+                                                    } else {
+                                                        continue;
+                                                    };
+
+                                                content_parts.push(UserContentPart::Image {
+                                                    image: image_value,
+                                                    media_type,
+                                                    provider_options: None,
+                                                });
                                             }
                                             _ => {
                                                 // Skip other source types for now
@@ -122,6 +131,48 @@ impl TryFromLLM<generated::InputMessage> for Message {
                                         }
                                     }
                                 }
+                                generated::InputContentBlockType::Document => {
+                                    if let Some(source) = block.source {
+                                        match source {
+                                            generated::Source::SourceSource(purple_source) => {
+                                                let media_type = purple_source.media_type.map(|mt| match mt {
+                                                    generated::FluffyMediaType::ImageJpeg => "image/jpeg".to_string(),
+                                                    generated::FluffyMediaType::ImagePng => "image/png".to_string(),
+                                                    generated::FluffyMediaType::ImageGif => "image/gif".to_string(),
+                                                    generated::FluffyMediaType::ImageWebp => "image/webp".to_string(),
+                                                    generated::FluffyMediaType::ApplicationPdf => "application/pdf".to_string(),
+                                                    generated::FluffyMediaType::TextPlain => "text/plain".to_string(),
+                                                });
+
+                                                // Handle both base64 data and URL sources for documents
+                                                let file_value =
+                                                    if let Some(data) = purple_source.data {
+                                                        serde_json::Value::String(data)
+                                                    } else if let Some(url) = purple_source.url {
+                                                        serde_json::Value::String(url)
+                                                    } else {
+                                                        continue;
+                                                    };
+
+                                                // media_type is required for File, use a default if not provided
+                                                let file_media_type =
+                                                    media_type.unwrap_or_else(|| {
+                                                        "application/octet-stream".to_string()
+                                                    });
+
+                                                content_parts.push(UserContentPart::File {
+                                                    data: file_value,
+                                                    filename: None,
+                                                    media_type: file_media_type,
+                                                    provider_options: None,
+                                                });
+                                            }
+                                            _ => {
+                                                continue;
+                                            }
+                                        }
+                                    }
+                                }
                                 generated::InputContentBlockType::ToolResult => {
                                     // Skip tool results for now - should be handled properly
                                     continue;
@@ -154,12 +205,7 @@ impl TryFromLLM<generated::InputMessage> for Message {
             }
             generated::MessageRole::Assistant => {
                 let content = match input_msg.content {
-                    generated::MessageContent::String(text) => {
-                        AssistantContent::Array(vec![AssistantContentPart::Text(TextContentPart {
-                            text,
-                            provider_options: None,
-                        })])
-                    }
+                    generated::MessageContent::String(text) => AssistantContent::String(text),
                     generated::MessageContent::InputContentBlockArray(blocks) => {
                         let mut content_parts = Vec::new();
 
@@ -271,12 +317,12 @@ impl TryFromLLM<Message> for generated::InputMessage {
                                     image, media_type, ..
                                 } => {
                                     // Convert universal image back to Anthropic format
-                                    let data = match image {
+                                    let image_str = match image {
                                         serde_json::Value::String(s) => Some(s),
                                         _ => None,
                                     };
 
-                                    if let Some(image_data) = data {
+                                    if let Some(image_data) = image_str {
                                         let anthropic_media_type =
                                             media_type.as_ref().and_then(|mt| match mt.as_str() {
                                                 "image/jpeg" => {
@@ -300,6 +346,15 @@ impl TryFromLLM<Message> for generated::InputMessage {
                                                 _ => None,
                                             });
 
+                                        // Detect if this is a URL or base64 data
+                                        let is_url = image_data.starts_with("http://")
+                                            || image_data.starts_with("https://");
+                                        let (source_type, data, url) = if is_url {
+                                            (generated::FluffyType::Url, None, Some(image_data))
+                                        } else {
+                                            (generated::FluffyType::Base64, Some(image_data), None)
+                                        };
+
                                         Some(generated::InputContentBlock {
                                             cache_control: None,
                                             citations: None,
@@ -308,10 +363,82 @@ impl TryFromLLM<Message> for generated::InputMessage {
                                                 generated::InputContentBlockType::Image,
                                             source: Some(generated::Source::SourceSource(
                                                 generated::SourceSource {
-                                                    data: Some(image_data),
+                                                    data,
                                                     media_type: anthropic_media_type,
-                                                    source_type: generated::FluffyType::Base64,
-                                                    url: None,
+                                                    source_type,
+                                                    url,
+                                                    content: None,
+                                                },
+                                            )),
+                                            context: None,
+                                            title: None,
+                                            content: None,
+                                            signature: None,
+                                            thinking: None,
+                                            data: None,
+                                            id: None,
+                                            input: None,
+                                            name: None,
+                                            is_error: None,
+                                            tool_use_id: None,
+                                        })
+                                    } else {
+                                        None
+                                    }
+                                }
+                                UserContentPart::File {
+                                    data, media_type, ..
+                                } => {
+                                    // Convert universal file/document back to Anthropic format
+                                    let file_str = match data {
+                                        serde_json::Value::String(s) => Some(s),
+                                        _ => None,
+                                    };
+
+                                    if let Some(file_data) = file_str {
+                                        let anthropic_media_type = match media_type.as_str() {
+                                            "image/jpeg" => {
+                                                Some(generated::FluffyMediaType::ImageJpeg)
+                                            }
+                                            "image/png" => {
+                                                Some(generated::FluffyMediaType::ImagePng)
+                                            }
+                                            "image/gif" => {
+                                                Some(generated::FluffyMediaType::ImageGif)
+                                            }
+                                            "image/webp" => {
+                                                Some(generated::FluffyMediaType::ImageWebp)
+                                            }
+                                            "application/pdf" => {
+                                                Some(generated::FluffyMediaType::ApplicationPdf)
+                                            }
+                                            "text/plain" => {
+                                                Some(generated::FluffyMediaType::TextPlain)
+                                            }
+                                            _ => None,
+                                        };
+
+                                        // Detect if this is a URL or base64 data
+                                        let is_url = file_data.starts_with("http://")
+                                            || file_data.starts_with("https://");
+                                        let (source_type, data, url) = if is_url {
+                                            (generated::FluffyType::Url, None, Some(file_data))
+                                        } else {
+                                            (generated::FluffyType::Base64, Some(file_data), None)
+                                        };
+
+                                        Some(generated::InputContentBlock {
+                                            cache_control: None,
+                                            citations: None,
+                                            text: None,
+                                            input_content_block_type:
+                                                generated::InputContentBlockType::Document,
+                                            source: Some(generated::Source::SourceSource(
+                                                generated::SourceSource {
+                                                    data,
+                                                    media_type: anthropic_media_type,
+                                                    source_type,
+                                                    url,
                                                     content: None,
                                                 },
                                             )),
@@ -331,7 +458,6 @@ impl TryFromLLM<Message> for generated::InputMessage {
                                         None
                                     }
                                 }
-                                _ => None, // Skip other parts for now
                             })
                             .collect();
                         generated::MessageContent::InputContentBlockArray(blocks)
@@ -344,111 +470,95 @@ impl TryFromLLM<Message> for generated::InputMessage {
                 })
             }
             Message::Assistant { content, .. } => {
-                let blocks = match content {
-                    AssistantContent::String(text) => {
-                        vec![generated::InputContentBlock {
-                            cache_control: None,
-                            citations: None,
-                            text: Some(text),
-                            input_content_block_type: generated::InputContentBlockType::Text,
-                            source: None,
-                            context: None,
-                            title: None,
-                            content: None,
-                            signature: None,
-                            thinking: None,
-                            data: None,
-                            id: None,
-                            input: None,
-                            name: None,
-                            is_error: None,
-                            tool_use_id: None,
-                        }]
+                let anthropic_content = match content {
+                    AssistantContent::String(text) => generated::MessageContent::String(text),
+                    AssistantContent::Array(parts) => {
+                        let blocks: Vec<generated::InputContentBlock> = parts
+                            .into_iter()
+                            .filter_map(|part| match part {
+                                AssistantContentPart::Text(text_part) => {
+                                    Some(generated::InputContentBlock {
+                                        cache_control: None,
+                                        citations: None,
+                                        text: Some(text_part.text),
+                                        input_content_block_type:
+                                            generated::InputContentBlockType::Text,
+                                        source: None,
+                                        context: None,
+                                        title: None,
+                                        content: None,
+                                        signature: None,
+                                        thinking: None,
+                                        data: None,
+                                        id: None,
+                                        input: None,
+                                        name: None,
+                                        is_error: None,
+                                        tool_use_id: None,
+                                    })
+                                }
+                                AssistantContentPart::Reasoning { text, .. } => {
+                                    Some(generated::InputContentBlock {
+                                        cache_control: None,
+                                        citations: None,
+                                        text: None,
+                                        input_content_block_type:
+                                            generated::InputContentBlockType::Thinking,
+                                        source: None,
+                                        context: None,
+                                        title: None,
+                                        content: None,
+                                        signature: None,
+                                        thinking: Some(text),
+                                        data: None,
+                                        id: None,
+                                        input: None,
+                                        name: None,
+                                        is_error: None,
+                                        tool_use_id: None,
+                                    })
+                                }
+                                AssistantContentPart::ToolCall {
+                                    tool_call_id,
+                                    tool_name,
+                                    arguments,
+                                    ..
+                                } => {
+                                    // Convert ToolCallArguments to serde_json::Map
+                                    let input_map = match &arguments {
+                                        ToolCallArguments::Valid(map) => Some(map.clone()),
+                                        ToolCallArguments::Invalid(_) => None,
+                                    };
+
+                                    Some(generated::InputContentBlock {
+                                        cache_control: None,
+                                        citations: None,
+                                        text: None,
+                                        input_content_block_type:
+                                            generated::InputContentBlockType::ToolUse,
+                                        source: None,
+                                        context: None,
+                                        title: None,
+                                        content: None,
+                                        signature: None,
+                                        thinking: None,
+                                        data: None,
+                                        id: Some(tool_call_id.clone()),
+                                        input: input_map,
+                                        name: Some(tool_name.clone()),
+                                        is_error: None,
+                                        tool_use_id: None,
+                                    })
+                                }
+                                _ => None, // Skip other types for now
+                            })
+                            .collect();
+                        generated::MessageContent::InputContentBlockArray(blocks)
                     }
-                    AssistantContent::Array(parts) => parts
-                        .into_iter()
-                        .filter_map(|part| match part {
-                            AssistantContentPart::Text(text_part) => {
-                                Some(generated::InputContentBlock {
-                                    cache_control: None,
-                                    citations: None,
-                                    text: Some(text_part.text),
-                                    input_content_block_type:
-                                        generated::InputContentBlockType::Text,
-                                    source: None,
-                                    context: None,
-                                    title: None,
-                                    content: None,
-                                    signature: None,
-                                    thinking: None,
-                                    data: None,
-                                    id: None,
-                                    input: None,
-                                    name: None,
-                                    is_error: None,
-                                    tool_use_id: None,
-                                })
-                            }
-                            AssistantContentPart::Reasoning { text, .. } => {
-                                Some(generated::InputContentBlock {
-                                    cache_control: None,
-                                    citations: None,
-                                    text: None,
-                                    input_content_block_type:
-                                        generated::InputContentBlockType::Thinking,
-                                    source: None,
-                                    context: None,
-                                    title: None,
-                                    content: None,
-                                    signature: None,
-                                    thinking: Some(text),
-                                    data: None,
-                                    id: None,
-                                    input: None,
-                                    name: None,
-                                    is_error: None,
-                                    tool_use_id: None,
-                                })
-                            }
-                            AssistantContentPart::ToolCall {
-                                tool_call_id,
-                                tool_name,
-                                arguments,
-                                ..
-                            } => {
-                                // Convert ToolCallArguments to serde_json::Map
-                                let input_map = match &arguments {
-                                    ToolCallArguments::Valid(map) => Some(map.clone()),
-                                    ToolCallArguments::Invalid(_) => None,
-                                };
-
-                                Some(generated::InputContentBlock {
-                                    cache_control: None,
-                                    citations: None,
-                                    text: None,
-                                    input_content_block_type:
-                                        generated::InputContentBlockType::ToolUse,
-                                    source: None,
-                                    context: None,
-                                    title: None,
-                                    content: None,
-                                    signature: None,
-                                    thinking: None,
-                                    data: None,
-                                    id: Some(tool_call_id.clone()),
-                                    input: input_map,
-                                    name: Some(tool_name.clone()),
-                                    is_error: None,
-                                    tool_use_id: None,
-                                })
-                            }
-                            _ => None, // Skip other types for now
-                        })
-                        .collect(),
                 };
 
                 Ok(generated::InputMessage {
-                    content: generated::MessageContent::InputContentBlockArray(blocks),
+                    content: anthropic_content,
                     role: generated::MessageRole::Assistant,
                 })
             }
diff --git a/src/providers/openai/convert.rs b/src/providers/openai/convert.rs
index 798faf3c..a9d9f578 100644
--- a/src/providers/openai/convert.rs
+++ b/src/providers/openai/convert.rs
@@ -1,8 +1,8 @@
 use crate::providers::openai::generated as openai;
 use crate::universal::convert::TryFromLLM;
 use crate::universal::{
-    AssistantContent, AssistantContentPart, Message, TextContentPart, ToolContentPart,
-    ToolResultContentPart, UserContent, UserContentPart,
+    AssistantContent, AssistantContentPart, Message, TextContentPart, ToolCallArguments,
+    ToolContentPart, ToolResultContentPart, UserContent, UserContentPart,
 };
 use std::fmt;
 
@@ -244,10 +244,44 @@ impl TryFromLLM<openai::InputContent> for UserContentPart {
                 });
             }
             openai::InputItemContentListType::InputFile => {
-                // Handle file input if needed in the future
-                return Err(ConvertError::UnsupportedInputType {
-                    type_info: "InputFile content type".to_string(),
-                });
+                // Extract file data
+                let file_data =
+                    value
+                        .file_data
+                        .ok_or_else(|| ConvertError::MissingRequiredField {
+                            field: "file_data".to_string(),
+                        })?;
+
+                // Extract filename if available
+                let filename = value.filename;
+
+                // Parse media type from data URL (e.g., "data:application/pdf;base64,...")
+                let media_type = if file_data.starts_with("data:") {
+                    file_data
+                        .split(';')
+                        .next()
+                        .and_then(|part| part.strip_prefix("data:"))
+                        .unwrap_or("application/octet-stream")
+                        .to_string()
+                } else {
+                    "application/octet-stream".to_string()
+                };
+
+                // Determine if it's an image or other file based on MIME type
+                if media_type.starts_with("image/") {
+                    UserContentPart::Image {
+                        image: serde_json::Value::String(file_data),
+                        media_type: Some(media_type),
+                        provider_options: None,
+                    }
+                } else {
+                    UserContentPart::File {
+                        data: serde_json::Value::String(file_data),
+                        filename,
+                        media_type,
+                        provider_options: None,
+                    }
+                }
             }
             openai::InputItemContentListType::ReasoningText => {
                 // Handle reasoning text - treat as regular text for now
@@ -340,10 +374,22 @@ impl TryFromLLM<UserContentPart> for openai::InputContent {
                     ..Default::default()
                 }
             }
-            _ => {
-                return Err(ConvertError::UnsupportedInputType {
-                    type_info: format!("UserContentPart variant: {:?}", part),
-                })
+            UserContentPart::File { data, filename, .. } => {
+                let file_data = match data {
+                    serde_json::Value::String(url) => url,
+                    _ => {
+                        return Err(ConvertError::UnsupportedInputType {
+                            type_info: format!("File data must be string URL, got: {:?}", data),
+                        })
+                    }
+                };
+
+                openai::InputContent {
+                    input_content_type: openai::InputItemContentListType::InputFile,
+                    file_data: Some(file_data),
+                    filename: filename.clone(),
+                    ..Default::default()
+                }
             }
         })
     }
@@ -513,8 +559,6 @@ impl TryFromLLM<Message> for openai::InputItem {
                         role: Some(openai::InputItemRole::Assistant),
                         content: Some(openai::InputItemContent::String(text)),
                         id,
-                        input_item_type: Some(openai::InputItemType::Message),
-                        status: Some(openai::FunctionCallItemStatus::Completed),
                         ..Default::default()
                     }),
                     AssistantContent::Array(parts) => {
@@ -762,6 +806,116 @@ impl TryFromLLM<openai::OutputItem> for openai::InputItem {
     }
 }
 
+/// Convert OpenAI OutputItem to universal Message (for parsing responses)
+impl TryFromLLM<Vec<openai::OutputItem>> for Vec<Message> {
+    type Error = ConvertError;
+
+    fn try_from(outputs: Vec<openai::OutputItem>) -> Result<Self, Self::Error> {
+        let mut result = Vec::new();
+        for mut output in outputs {
+            match output.output_item_type {
+                Some(openai::OutputItemType::Reasoning) => {
+                    let mut summaries = vec![];
+                    let mut first = true;
+                    for summary in output.summary.unwrap_or_default() {
+                        summaries.push(AssistantContentPart::Reasoning {
+                            text: summary.text,
+                            encrypted_content: if first {
+                                first = false;
+                                output.encrypted_content.take()
+                            } else {
+                                None
+                            },
+                        });
+                    }
+
+                    if summaries.is_empty() {
+                        summaries.push(AssistantContentPart::Reasoning {
+                            text: "".to_string(),
+                            encrypted_content: output.encrypted_content.take(),
+                        });
+                    }
+
+                    result.push(Message::Assistant {
+                        content: AssistantContent::Array(summaries),
+                        id: output.id,
+                    });
+                }
+                Some(openai::OutputItemType::FunctionCall)
+                | Some(openai::OutputItemType::CustomToolCall) => {
+                    let tool_call_id =
+                        output
+                            .call_id
+                            .ok_or_else(|| ConvertError::MissingRequiredField {
+                                field: "function call call_id".to_string(),
+                            })?;
+                    let tool_name =
+                        output
+                            .name
+                            .ok_or_else(|| ConvertError::MissingRequiredField {
+                                field: "function call name".to_string(),
+                            })?;
+                    let arguments_str = output.arguments.unwrap_or("{}".to_string());
+
+                    let tool_call_part = AssistantContentPart::ToolCall {
+                        tool_call_id,
+                        tool_name,
+                        arguments: arguments_str.into(),
+                        provider_options: None,
+                        provider_executed: None,
+                    };
+
+                    result.push(Message::Assistant {
+                        content: AssistantContent::Array(vec![tool_call_part]),
+                        id: output.id.clone(),
+                    });
+                }
+                _ => {
+                    // Regular message - convert content from OutputMessageContent array
+                    let content_vec =
+                        output
+                            .content
+                            .ok_or_else(|| ConvertError::MissingRequiredField {
+                                field: "content".to_string(),
+                            })?;
+
+                    // Convert OutputMessageContent to AssistantContent
+                    let content = if content_vec.len() == 1
+                        && content_vec[0].output_message_content_type
+                            == openai::ContentType::OutputText
+                    {
+                        // Single text item - use string format
+                        AssistantContent::String(content_vec[0].text.clone().unwrap_or_default())
+                    } else {
+                        // Multiple items or non-text - use array format
+                        let parts: Result<Vec<AssistantContentPart>, _> = content_vec
+                            .into_iter()
+                            .map(|content_part| {
+                                Ok(AssistantContentPart::Text(TextContentPart {
+                                    text: content_part.text.ok_or_else(|| {
+                                        ConvertError::MissingRequiredField {
+                                            field: "text in output content".to_string(),
+                                        }
+                                    })?,
+                                    provider_options: None,
+                                }))
+                            })
+                            .collect();
+                        AssistantContent::Array(parts?)
+                    };
+
+                    result.push(Message::Assistant {
+                        content,
+                        id: output.id,
+                    });
+                }
+            }
+        }
+
+        Ok(result)
+    }
+}
+
 /// Convert universal Message to OpenAI OutputItem (for Responses API responses)
 impl TryFromLLM<Message> for openai::OutputItem {
     type Error = ConvertError;
@@ -781,36 +935,72 @@ impl TryFromLLM<Message> for openai::OutputItem {
                                 logprobs: Some(vec![]),
                                 refusal: None,
                             }]),
-                            output_item_type: None, // Don't add type field if original didn't have it
+                            output_item_type: Some(openai::OutputItemType::Message),
                             id,
                             status: Some(openai::FunctionCallItemStatus::Completed),
                             ..openai::OutputItem::default()
                         })
                     }
                     AssistantContent::Array(parts) => {
-                        // Check if this is a pure reasoning message
+                        // Check if this is a pure reasoning message (all parts are Reasoning)
+                        let all_reasoning = parts
+                            .iter()
+                            .all(|p| matches!(p, AssistantContentPart::Reasoning { .. }));
+
+                        if all_reasoning && !parts.is_empty() {
+                            // Convert all reasoning parts to summary_text items
+                            let summary_parts: Vec<openai::SummaryText> = parts
+                                .iter()
+                                .filter_map(|part| {
+                                    if let AssistantContentPart::Reasoning { text, .. } = part {
+                                        if !text.is_empty() {
+                                            Some(openai::SummaryText {
+                                                text: text.clone(),
+                                                summary_text_type: openai::SummaryType::SummaryText,
+                                            })
+                                        } else {
+                                            None
+                                        }
+                                    } else {
+                                        None
+                                    }
+                                })
+                                .collect();
+
+                            return Ok(openai::OutputItem {
+                                role: None, // Reasoning items don't have roles
+                                content: None,
+                                output_item_type: Some(openai::OutputItemType::Reasoning),
+                                id,
+                                summary: Some(summary_parts),
+                                ..openai::OutputItem::default()
+                            });
+                        }
+
+                        // Check if this is a tool call message
                         if parts.len() == 1 {
-                            if let AssistantContentPart::Reasoning {
-                                text,
-                                encrypted_content: _,
+                            if let AssistantContentPart::ToolCall {
+                                tool_call_id,
+                                tool_name,
+                                arguments,
+                                ..
                             } = &parts[0]
                             {
-                                // Pure reasoning message - convert to reasoning OutputItem
-                                let summary_parts = if text.is_empty() {
-                                    vec![]
-                                } else {
-                                    vec![openai::SummaryText {
-                                        text: text.clone(),
-                                        summary_text_type: openai::SummaryType::SummaryText,
-                                    }]
+                                let args_str = match arguments {
+                                    ToolCallArguments::Valid(map) => serde_json::to_string(map)
+                                        .unwrap_or_else(|_| "{}".to_string()),
+                                    ToolCallArguments::Invalid(s) => s.clone(),
                                 };
 
                                 return Ok(openai::OutputItem {
-                                    role: None, // Reasoning items don't have roles
+                                    role: None,
                                     content: None,
-                                    output_item_type: Some(openai::OutputItemType::Reasoning),
+                                    output_item_type: Some(openai::OutputItemType::FunctionCall),
                                     id,
-                                    summary: Some(summary_parts),
+                                    call_id: Some(tool_call_id.clone()),
+                                    name: Some(tool_name.clone()),
+                                    arguments: Some(args_str),
+                                    status: Some(openai::FunctionCallItemStatus::Completed),
                                     ..openai::OutputItem::default()
                                 });
                             }
@@ -824,14 +1014,6 @@ impl TryFromLLM<Message> for openai::OutputItem {
                                 AssistantContentPart::Text(text_part) => {
                                     Some(text_part.text.clone())
                                 }
-                                AssistantContentPart::ToolCall {
-                                    tool_name: _,
-                                    arguments: _,
-                                    ..
-                                } => {
-                                    // Create synthetic text for tool calls since OutputItem doesn't have proper tool call structure
-                                    todo!()
-                                }
                                 _ => None,
                             })
                             .collect::<Vec<_>>()
@@ -846,7 +1028,7 @@ impl TryFromLLM<Message> for openai::OutputItem {
                                 logprobs: Some(vec![]),
                                 refusal: None,
                             }]),
-                            output_item_type: None, // Don't add type field if original didn't have it
+                            output_item_type: Some(openai::OutputItemType::Message),
                             id,
                             status: Some(openai::FunctionCallItemStatus::Completed),
                             ..openai::OutputItem::default()
@@ -1142,6 +1324,57 @@ impl TryFromLLM<openai::ChatCompletionRequestMessageContentPart> for UserContent
                     })
                 }
             }
+            openai::PurpleType::File => {
+                if let Some(file) = part.file {
+                    // Convert File to UserContentPart::File
+                    // Priority: file_data over file_id
+                    let (data, media_type) = if let Some(file_data) = file.file_data {
+                        // Extract media type from data URL if present (e.g., "data:application/pdf;base64,...")
+                        let media_type = if file_data.starts_with("data:") {
+                            file_data
+                                .split(';')
+                                .next()
+                                .and_then(|s| s.strip_prefix("data:"))
+                                .unwrap_or("application/octet-stream")
+                                .to_string()
+                        } else {
+                            "application/octet-stream".to_string()
+                        };
+
+                        let data_value = serde_json::to_value(&file_data).map_err(|e| {
+                            ConvertError::JsonSerializationFailed {
+                                field: "file_data".to_string(),
+                                error: e.to_string(),
+                            }
+                        })?;
+                        (data_value, media_type)
+                    } else if let Some(file_id) = file.file_id {
+                        let data_value = serde_json::to_value(&file_id).map_err(|e| {
+                            ConvertError::JsonSerializationFailed {
+                                field: "file_id".to_string(),
+                                error: e.to_string(),
+                            }
+                        })?;
+                        // File IDs don't have media type info, use generic
+                        (data_value, "application/octet-stream".to_string())
+                    } else {
+                        return Err(ConvertError::MissingRequiredField {
+                            field: "file_data or file_id".to_string(),
+                        });
+                    };
+
+                    Ok(UserContentPart::File {
+                        data,
+                        filename: file.filename,
+                        media_type,
+                        provider_options: None,
+                    })
+                } else {
+                    Err(ConvertError::MissingRequiredField {
+                        field: "file".to_string(),
+                    })
+                }
+            }
             _ => Err(ConvertError::UnsupportedInputType {
                 type_info: format!(
                     "ChatCompletionRequestMessageContentPart type: {:?}",
@@ -1288,12 +1521,37 @@ fn convert_user_content_part_to_chat_completion_part(
                 refusal: None,
             })
         }
-        _ => Err(ConvertError::UnsupportedInputType {
-            type_info: format!(
-                "UserContentPart variant in ChatCompletion conversion: {:?}",
-                part
-            ),
-        }),
+        UserContentPart::File {
+            data,
+            filename,
+            media_type: _,
+            provider_options: _,
+        } => {
+            // Convert file data to File format
+            let file_data = match data {
+                serde_json::Value::String(data_str) => data_str,
+                _ => {
+                    return Err(ConvertError::UnsupportedInputType {
+                        type_info: format!(
+                            "File data must be string for ChatCompletion, got: {:?}",
+                            data
+                        ),
+                    })
+                }
+            };
+            Ok(openai::ChatCompletionRequestMessageContentPart {
+                text: None,
+                chat_completion_request_message_content_part_type: openai::PurpleType::File,
+                image_url: None,
+                input_audio: None,
+                file: Some(openai::File {
+                    file_data: Some(file_data),
+                    file_id: None,
+                    filename,
+                }),
+                refusal: None,
+            })
+        }
     }
 }
 
diff --git a/src/providers/openai/test_responses.rs b/src/providers/openai/test_responses.rs
index fe9748bc..891f513e 100644
--- a/src/providers/openai/test_responses.rs
+++ b/src/providers/openai/test_responses.rs
@@ -50,29 +50,20 @@ mod tests {
                 <Vec<InputItem> as TryFromLLM<Vec<Message>>>::try_from(messages)
                     .map_err(|e| format!("Failed to roundtrip conversion: {}", e))
             },
-            // Extract response content (output messages from OpenAI Responses API converted to InputItems)
-            |response: &TheResponseObject| -> Result<Vec<InputItem>, String> {
-                // Convert OutputItems to InputItems for comparison (this is the supported direction)
-                let input_items_from_output: Vec<InputItem> = response
-                    .output
-                    .iter()
-                    .map(|output_item| {
-                        <InputItem as TryFromLLM<OutputItem>>::try_from(output_item.clone())
-                    })
-                    .collect::<Result<Vec<_>, _>>()
-                    .map_err(|e| format!("Failed to convert OutputItem to InputItem: {}", e))?;
-                Ok(input_items_from_output)
+            // Extract response content (output messages from OpenAI Responses API)
+            |response: &TheResponseObject| -> Result<Vec<OutputItem>, String> {
+                Ok(response.output.clone())
             },
-            // Convert response to universal (InputItems are already converted from OutputItems)
-            |input_messages: &Vec<InputItem>| {
-                // Convert InputItems to universal format
-                <Vec<Message> as TryFromLLM<Vec<InputItem>>>::try_from(input_messages.clone())
-                    .map_err(|e| format!("Failed to convert InputItems to universal format: {}", e))
+            // Convert response to universal
+            |output_items: &Vec<OutputItem>| {
+                <Vec<Message> as TryFromLLM<Vec<OutputItem>>>::try_from(output_items.clone())
+                    .map_err(|e| {
+                        format!("Failed to convert OutputItems to universal format: {}", e)
+                    })
             },
-            // Convert universal to response (via InputItem conversion - note: we compare InputItems, not OutputItems)
+            // Convert universal back to response (OutputItem)
             |messages: Vec<Message>| {
-                // Convert universal messages back to InputItems (this is what we can compare)
-                <Vec<InputItem> as TryFromLLM<Vec<Message>>>::try_from(messages)
+                <Vec<OutputItem> as TryFromLLM<Vec<Message>>>::try_from(messages)
                     .map_err(|e| format!("Failed to roundtrip conversion from universal: {}", e))
             },
         )
diff --git a/src/util/test_runner.rs b/src/util/test_runner.rs
index 1a053707..35cd1e67 100644
--- a/src/util/test_runner.rs
+++ b/src/util/test_runner.rs
@@ -105,19 +105,10 @@ where
             serde_json::to_string_pretty(&roundtripped_response).unwrap()
         );
 
-        // For response comparison, we need to handle different types differently
-        // Since diff_serializable expects slices, we'll serialize both to JSON and compare
-        let original_json = serde_json::to_value(&response_content)
-            .map_err(|e| format!("Failed to serialize original response: {}", e))?;
-        let roundtripped_json = serde_json::to_value(&roundtripped_response)
-            .map_err(|e| format!("Failed to serialize roundtripped response: {}", e))?;
-
-        if original_json != roundtripped_json {
-            return Err(format!(
-                "Response roundtrip conversion failed:\nOriginal: {}\nRoundtripped: {}",
-                serde_json::to_string_pretty(&original_json).unwrap(),
-                serde_json::to_string_pretty(&roundtripped_json).unwrap()
-            ));
+        // Compare response using the same colored diff as request roundtrip
+        let diff = diff_serializable(&[&response_content], &[&roundtripped_response], "response");
+        if !diff.starts_with("✅") {
+            return Err(format!("Response roundtrip conversion failed:\n{}", diff));
         }
 
         println!(