diff --git a/packages/provider-openai/src/index.ts b/packages/provider-openai/src/index.ts
index 8db895c..89256fb 100644
--- a/packages/provider-openai/src/index.ts
+++ b/packages/provider-openai/src/index.ts
@@ -1,99 +1,100 @@
-import type { ProviderPlugin, LLMCompletionRequest, LLMCompletionResponse, LLMCompletionChunk, PluginManifest } from "@mxclaw/core";
-
-const manifest: PluginManifest = {
-  name: "openai", version: "0.1.0", type: "provider",
-  description: "OpenAI API provider (GPT-4o, GPT-4, etc.)", author: "mxclaw",
-  main: "dist/index.js", capabilities: ["completion", "streaming", "tools", "vision"],
-};
-
-let apiKey = "";
-let baseUrl = "https://api.openai.com/v1";
-
-const plugin: ProviderPlugin = {
-  manifest,
-  initialize: async (config) => {
-    apiKey = (config.apiKey as string) ?? process.env.OPENAI_API_KEY ?? "";
-    baseUrl = (config.baseUrl as string) ?? "https://api.openai.com/v1";
-  },
-  complete: async (request): Promise<LLMCompletionResponse> => {
-    const timeout = AbortSignal.timeout(120_000); // 2 minute timeout
-    const resp = await fetch(`${baseUrl}/chat/completions`, {
-      method: "POST", headers: { Authorization: `Bearer ${apiKey}`, "Content-Type": "application/json" },
-      body: JSON.stringify({
-        model: request.model, messages: request.messages,
-        tools: request.tools, temperature: request.temperature, max_tokens: request.maxTokens,
-      }),
-      signal: request.signal ?? timeout,
-    });
-    if (!resp.ok) {
-      const errBody = await resp.text().catch(() => "unknown");
-      throw new Error(`OpenAI error ${resp.status}: ${errBody}`);
-    }
-    const data = (await resp.json()) as { choices: Array<{ message: { content: string; tool_calls?: Array<{ id: string; function: { name: string; arguments: string } }> }; finish_reason: string }>; usage?: { prompt_tokens: number; completion_tokens: number; total_tokens: number } };
-    const choice = data.choices[0]!;
-    return {
-      content: choice.message.content ?? "",
-      toolCalls: choice.message.tool_calls?.map(tc => {
-        let args: Record<string, unknown>;
-        try { args = JSON.parse(tc.function.arguments); } catch { args = { raw: tc.function.arguments }; }
-        return { id: tc.id, name: tc.function.name, arguments: args };
-      }),
-      finishReason: choice.finish_reason as LLMCompletionResponse["finishReason"],
-      usage: data.usage ? {
-        promptTokens: data.usage.prompt_tokens,
-        completionTokens: data.usage.completion_tokens,
-        totalTokens: data.usage.total_tokens,
-      } : undefined,
-    };
-  },
-  completeStream: async function* (request): AsyncGenerator<LLMCompletionChunk> {
-    const resp = await fetch(`${baseUrl}/chat/completions`, {
-      method: "POST", headers: { Authorization: `Bearer ${apiKey}`, "Content-Type": "application/json" },
-      body: JSON.stringify({
-        model: request.model, messages: request.messages,
-        tools: request.tools, temperature: request.temperature, max_tokens: request.maxTokens,
-        stream: true,
-      }),
-      signal: request.signal,
-    });
-    if (!resp.ok) throw new Error(`OpenAI stream error: ${resp.status}`);
-    const reader = resp.body!.getReader();
-    const decoder = new TextDecoder();
-    let buffer = "";
-    while (true) {
-      const { done, value } = await reader.read();
-      if (done) break;
-      buffer += decoder.decode(value, { stream: true });
-      const lines = buffer.split("\n");
-      buffer = lines.pop() ?? "";
-      for (const line of lines) {
-        if (!line.startsWith("data: ")) continue;
-        const data = line.slice(6);
-        if (data === "[DONE]") return;
-        try {
-          const parsed = JSON.parse(data) as { choices: Array<{ delta: { content?: string; tool_calls?: Array<{ index: number; id?: string; function?: { name?: string; arguments?: string } }> }; finish_reason?: string }> };
-          const delta = parsed.choices[0]?.delta;
-          if (!delta) continue;
-          yield {
-            content: delta.content ?? "",
-            toolCalls: delta.tool_calls?.map(tc => ({ id: tc.id ?? "", name: tc.function?.name ?? "", arguments: tc.function?.arguments ?? "" })),
-            finishReason: parsed.choices[0]?.finish_reason as LLMCompletionChunk["finishReason"],
-          };
-        } catch { /* skip malformed chunks */ }
-      }
-    }
-  },
-  listModels: async () => {
-    const resp = await fetch(`${baseUrl}/models`, { headers: { Authorization: `Bearer ${apiKey}` } });
-    const data = (await resp.json()) as { data: Array<{ id: string }> };
-    return data.data.map(m => ({ id: m.id, name: m.id }));
-  },
-  healthCheck: async () => {
-    try {
-      await fetch(`${baseUrl}/models`, { headers: { Authorization: `Bearer ${apiKey}` } });
-      return true;
-    } catch { return false; }
-  },
-};
-
+import type { ProviderPlugin, LLMCompletionRequest, LLMCompletionResponse, LLMCompletionChunk, PluginManifest } from "@mxclaw/core";
+
+const manifest: PluginManifest = {
+  name: "openai", version: "0.1.0", type: "provider",
+  description: "OpenAI API provider (GPT-4o, GPT-4, etc.)", author: "mxclaw",
+  main: "dist/index.js", capabilities: ["completion", "streaming", "tools", "vision"],
+};
+
+let apiKey = "";
+let baseUrl = "https://api.openai.com/v1";
+
+const plugin: ProviderPlugin = {
+  manifest,
+  initialize: async (config) => {
+    apiKey = (config.apiKey as string) ?? process.env.OPENAI_API_KEY ?? "";
+    baseUrl = (config.baseUrl as string) ?? "https://api.openai.com/v1";
+  },
+  complete: async (request): Promise<LLMCompletionResponse> => {
+    const timeout = AbortSignal.timeout(120_000); // 2 minute timeout
+    const resp = await fetch(`${baseUrl}/chat/completions`, {
+      method: "POST", headers: { Authorization: `Bearer ${apiKey}`, "Content-Type": "application/json" },
+      body: JSON.stringify({
+        model: request.model, messages: request.messages,
+        tools: request.tools, temperature: request.temperature, max_tokens: request.maxTokens,
+      }),
+      signal: request.signal ?? timeout,
+    });
+    if (!resp.ok) {
+      const errBody = await resp.text().catch(() => "unknown");
+      throw new Error(`OpenAI error ${resp.status}: ${errBody}`);
+    }
+    const data = (await resp.json()) as { choices: Array<{ message: { content: string; tool_calls?: Array<{ id: string; function: { name: string; arguments: string } }> }; finish_reason: string }>; usage?: { prompt_tokens: number; completion_tokens: number; total_tokens: number } };
+    const choice = data.choices[0]!;
+    return {
+      content: choice.message.content ?? "",
+      toolCalls: choice.message.tool_calls?.map(tc => {
+        let args: Record<string, unknown>;
+        try { args = JSON.parse(tc.function.arguments); } catch { args = { raw: tc.function.arguments }; }
+        return { id: tc.id, name: tc.function.name, arguments: args };
+      }),
+      finishReason: choice.finish_reason as LLMCompletionResponse["finishReason"],
+      usage: data.usage ? {
+        promptTokens: data.usage.prompt_tokens,
+        completionTokens: data.usage.completion_tokens,
+        totalTokens: data.usage.total_tokens,
+      } : undefined,
+    };
+  },
+  completeStream: async function* (request): AsyncGenerator<LLMCompletionChunk> {
+    const resp = await fetch(`${baseUrl}/chat/completions`, {
+      method: "POST", headers: { Authorization: `Bearer ${apiKey}`, "Content-Type": "application/json" },
+      body: JSON.stringify({
+        model: request.model, messages: request.messages,
+        tools: request.tools, temperature: request.temperature, max_tokens: request.maxTokens,
+        stream: true,
+      }),
+      signal: request.signal,
+    });
+    if (!resp.ok) throw new Error(`OpenAI stream error: ${resp.status}`);
+    const reader = resp.body!.getReader();
+    const decoder = new TextDecoder();
+    let buffer = "";
+    while (true) {
+      const { done, value } = await reader.read();
+      if (done) break;
+      buffer += decoder.decode(value, { stream: true });
+      const lines = buffer.split("\n");
+      buffer = lines.pop() ?? "";
+      for (const line of lines) {
+        if (!line.startsWith("data: ")) continue;
+        const data = line.slice(6);
+        if (data === "[DONE]") return;
+        try {
+          const parsed = JSON.parse(data) as { choices: Array<{ delta: { content?: string; tool_calls?: Array<{ index: number; id?: string; function?: { name?: string; arguments?: string } }> }; finish_reason?: string }> };
+          const delta = parsed.choices[0]?.delta;
+          if (!delta) continue;
+          yield {
+            content: delta.content ?? "",
+            toolCalls: delta.tool_calls?.map(tc => ({ id: tc.id ?? "", name: tc.function?.name ?? "", arguments: tc.function?.arguments ?? "" })),
+            finishReason: parsed.choices[0]?.finish_reason as LLMCompletionChunk["finishReason"],
+          };
+        } catch { /* skip malformed chunks */ }
+      }
+    }
+  },
+  listModels: async () => {
+    const resp = await fetch(`${baseUrl}/models`, { headers: { Authorization: `Bearer ${apiKey}` } });
+    if (!resp.ok) return [];
+    const data = (await resp.json()) as { data: Array<{ id: string }> };
+    return data.data.map(m => ({ id: m.id, name: m.id }));
+  },
+  healthCheck: async () => {
+    try {
+      await fetch(`${baseUrl}/models`, { headers: { Authorization: `Bearer ${apiKey}` } });
+      return true;
+    } catch { return false; }
+  },
+};
+
 export default plugin;
\ No newline at end of file