diff --git a/.github/config-allowlist.txt b/.github/config-allowlist.txt index 1cbce95357..a19b348c66 100644 --- a/.github/config-allowlist.txt +++ b/.github/config-allowlist.txt @@ -3,6 +3,7 @@ integrations/a2a/typescript/tsdown.config.ts integrations/adk-middleware/typescript/tsdown.config.ts integrations/ag2/typescript/tsdown.config.ts integrations/agno/typescript/tsdown.config.ts +integrations/antigravity/typescript/tsdown.config.ts integrations/aws-strands/typescript/tsdown.config.ts integrations/claude-agent-sdk/typescript/tsup.config.ts integrations/claude-managed-agents/typescript/tsdown.config.ts diff --git a/apps/dojo/package.json b/apps/dojo/package.json index 4e34a1c05a..152e71af3f 100644 --- a/apps/dojo/package.json +++ b/apps/dojo/package.json @@ -21,6 +21,7 @@ "@ag-ui/adk": "workspace:*", "@ag-ui/ag2": "workspace:*", "@ag-ui/agno": "workspace:*", + "@ag-ui/antigravity": "workspace:*", "@ag-ui/aws-strands": "workspace:*", "@ag-ui/claude-agent-sdk": "workspace:*", "@ag-ui/claude-managed-agents": "workspace:*", diff --git a/apps/dojo/scripts/generate-content-json.ts b/apps/dojo/scripts/generate-content-json.ts index f0f2287af9..e94ceda37d 100644 --- a/apps/dojo/scripts/generate-content-json.ts +++ b/apps/dojo/scripts/generate-content-json.ts @@ -388,6 +388,33 @@ const agentFilesMapper: Record< {}, ); }, + antigravity: (agentKeys: string[]) => { + return agentKeys.reduce( + (acc, agentId) => ({ + ...acc, + [agentId]: [ + path.join( + __dirname, + integrationsFolderPath, + `/antigravity/python/examples/server/api/${agentId}.py`, + ), + // Each demo file is a thin delegation; the model, workspace and + // capability config it calls into all live in _common.py. + path.join( + __dirname, + integrationsFolderPath, + "/antigravity/python/examples/server/api/_common.py", + ), + path.join( + __dirname, + integrationsFolderPath, + "/antigravity/python/examples/server/__init__.py", + ), + ], + }), + {}, + ); + }, "aws-strands": (agentKeys: string[]) => { return agentKeys.reduce( (acc, agentId) => ({ diff --git a/apps/dojo/scripts/prep-dojo-everything.js b/apps/dojo/scripts/prep-dojo-everything.js index 26a6e78308..3cf937f4c3 100755 --- a/apps/dojo/scripts/prep-dojo-everything.js +++ b/apps/dojo/scripts/prep-dojo-everything.js @@ -119,6 +119,11 @@ const ALL_TARGETS = { name: "ADK Middleware", cwd: path.join(integrationsRoot, "adk-middleware/python/examples"), }, + antigravity: { + command: "uv sync", + name: "Antigravity", + cwd: path.join(integrationsRoot, "antigravity/python/examples"), + }, "a2a-middleware": { command: "uv sync", name: "A2A Middleware", diff --git a/apps/dojo/scripts/run-dojo-everything.js b/apps/dojo/scripts/run-dojo-everything.js index d2349fc154..2b1390a09f 100755 --- a/apps/dojo/scripts/run-dojo-everything.js +++ b/apps/dojo/scripts/run-dojo-everything.js @@ -193,6 +193,14 @@ const ALL_SERVICES = { env: { PORT: 8010 }, }, ], + antigravity: [ + { + command: "uv run dev", + name: "Antigravity", + cwd: path.join(integrationsRoot, "antigravity/python/examples"), + env: { PORT: 8027 }, + }, + ], "a2a-middleware": [ { command: "uv run buildings_management.py", diff --git a/apps/dojo/src/agents.ts b/apps/dojo/src/agents.ts index 285158edda..afa7c13536 100644 --- a/apps/dojo/src/agents.ts +++ b/apps/dojo/src/agents.ts @@ -24,6 +24,7 @@ import { import { a2uiFixedSchemaAgent } from "./mastra/agents/a2ui-fixed"; import { PydanticAIAgent } from "@ag-ui/pydantic-ai"; import { ADKAgent } from "@ag-ui/adk"; +import { AntigravityAgent } from "@ag-ui/antigravity"; import { SpringAiAgent } from "@ag-ui/spring-ai"; import { HttpAgent } from "@ag-ui/client"; import { A2AMiddlewareAgent } from "@ag-ui/a2a-middleware"; @@ -118,6 +119,17 @@ export const agentsIntegrations = { return agents; }, + antigravity: async () => + mapAgents( + (path) => new AntigravityAgent({ url: `${envVars.antigravityUrl}/${path}` }), + { + agentic_chat: "agentic_chat", + human_in_the_loop: "human_in_the_loop", + tool_based_generative_ui: "tool_based_generative_ui", + backend_tool_rendering: "backend_tool_rendering", + }, + ), + "server-starter-all-features": async () => mapAgents( (path) => diff --git a/apps/dojo/src/env.ts b/apps/dojo/src/env.ts index 82aec61650..141c0a7fa2 100644 --- a/apps/dojo/src/env.ts +++ b/apps/dojo/src/env.ts @@ -13,6 +13,7 @@ type envVars = { agentSpecUrl: string; pydanticAIUrl: string; adkMiddlewareUrl: string; + antigravityUrl: string; agentFrameworkPythonUrl: string; a2aUrl: string; agentFrameworkDotnetUrl: string; @@ -64,6 +65,7 @@ export default function getEnvVars(): envVars { agentSpecUrl: process.env.AGENT_SPEC_URL || "http://localhost:9003", pydanticAIUrl: process.env.PYDANTIC_AI_URL || "http://localhost:9000", adkMiddlewareUrl: process.env.ADK_MIDDLEWARE_URL || "http://localhost:8000", + antigravityUrl: process.env.ANTIGRAVITY_URL || "http://localhost:8027", agentFrameworkPythonUrl: process.env.AGENT_FRAMEWORK_PYTHON_URL || "http://localhost:8015", agentFrameworkDotnetUrl: diff --git a/apps/dojo/src/files.json b/apps/dojo/src/files.json index b776a1a1fa..9a36063f73 100644 --- a/apps/dojo/src/files.json +++ b/apps/dojo/src/files.json @@ -2371,6 +2371,146 @@ "type": "file" } ], + "antigravity::agentic_chat": [ + { + "name": "page.tsx", + "content": "\"use client\";\nimport React, { useState } from \"react\";\nimport \"@copilotkit/react-core/v2/styles.css\";\nimport { \n useFrontendTool,\n useRenderTool,\n useAgentContext,\n useConfigureSuggestions,\n CopilotChat,\n} from \"@copilotkit/react-core/v2\";\nimport { z } from \"zod\";\nimport { CopilotKit } from \"@copilotkit/react-core\";\n\ninterface AgenticChatProps {\n params: Promise<{\n integrationId: string;\n }>;\n}\n\nconst AgenticChat: React.FC = ({ params }) => {\n const { integrationId } = React.use(params);\n\n return (\n \n \n \n );\n};\n\nconst Chat = () => {\n const [background, setBackground] = useState(\"--copilot-kit-background-color\");\n\n useAgentContext({\n description: 'Name of the user',\n value: 'Bob'\n });\n\n useFrontendTool({\n name: \"change_background\",\n description:\n \"Change the background color of the chat. Can be anything that the CSS background attribute accepts. Regular colors, linear of radial gradients etc.\",\n parameters: z.object({\n background: z.string().describe(\"The background. Prefer gradients. Only use when asked.\"),\n }) ,\n handler: async ({ background }: { background: string }) => {\n setBackground(background);\n return {\n status: \"success\",\n message: `Background changed to ${background}`,\n };\n },\n });\n\n useRenderTool({\n name: \"get_weather\",\n parameters: z.object({\n location: z.string(),\n }) ,\n render: ({ args, result, status }: any) => {\n if (status !== \"complete\") {\n return
Loading weather...
;\n }\n\n // Some integrations (e.g. LangGraph) deliver tool results as a JSON-encoded\n // string in the ToolMessage content rather than a parsed object. Normalize\n // so property access works in either case; otherwise every field reads as\n // undefined and the card renders empty values.\n let parsed: any = result;\n if (typeof parsed === \"string\") {\n try {\n parsed = JSON.parse(parsed);\n } catch {\n parsed = {};\n }\n }\n parsed = parsed ?? {};\n\n return (\n
\n Weather in {parsed.city ?? args.location}\n
Temperature: {parsed.temperature}°C
\n
Humidity: {parsed.humidity}%
\n
Wind Speed: {parsed.windSpeed ?? parsed.wind_speed} mph
\n
Conditions: {parsed.conditions}
\n
\n );\n },\n });\n\n useConfigureSuggestions({\n suggestions: [\n {\n title: \"Change background\",\n message: \"Change the background to something new.\",\n },\n {\n title: \"Generate sonnet\",\n message: \"Write a short sonnet about AI.\",\n },\n ],\n available: \"always\",\n });\n\n return (\n \n
\n \n
\n \n );\n};\n\nexport default AgenticChat;\n", + "language": "typescript", + "type": "file" + }, + { + "name": "README.mdx", + "content": "# 🤖 Agentic Chat with Frontend Tools\n\n## What This Demo Shows\n\nThis demo showcases CopilotKit's **agentic chat** capabilities with **frontend\ntool integration**:\n\n1. **Natural Conversation**: Chat with your Copilot in a familiar chat interface\n2. **Frontend Tool Execution**: The Copilot can directly interacts with your UI\n by calling frontend functions\n3. **Seamless Integration**: Tools defined in the frontend and automatically\n discovered and made available to the agent\n\n## How to Interact\n\nTry asking your Copilot to:\n\n- \"Can you change the background color to something more vibrant?\"\n- \"Make the background a blue to purple gradient\"\n- \"Set the background to a sunset-themed gradient\"\n- \"Change it back to a simple light color\"\n\nYou can also chat about other topics - the agent will respond conversationally\nwhile having the ability to use your UI tools when appropriate.\n\n## ✨ Frontend Tool Integration in Action\n\n**What's happening technically:**\n\n- The React component defines a frontend function using `useCopilotAction`\n- CopilotKit automatically exposes this function to the agent\n- When you make a request, the agent determines whether to use the tool\n- The agent calls the function with the appropriate parameters\n- The UI immediately updates in response\n\n**What you'll see in this demo:**\n\n- The Copilot understands requests to change the background\n- It generates CSS values for colors and gradients\n- When it calls the tool, the background changes instantly\n- The agent provides a conversational response about the changes it made\n\nThis technique of exposing frontend functions to your Copilot can be extended to\nany UI manipulation you want to enable, from theme changes to data filtering,\nnavigation, or complex UI state management!\n", + "language": "markdown", + "type": "file" + }, + { + "name": "agentic_chat.py", + "content": "\"\"\"Agentic chat: plain streaming conversation over the Antigravity harness.\n\nText arrives as `content_delta` on a re-emitted step and is translated into a\nsingle bookended AG-UI message (TEXT_MESSAGE_START/CONTENT.../END).\n\"\"\"\n\nfrom __future__ import annotations\n\nfrom ._common import build, chat_only_capabilities\n\nagent = build(\n capabilities=chat_only_capabilities(),\n system_instructions=(\n \"You are a helpful, concise assistant. Answer directly. \"\n \"Do not read or write files unless the user explicitly asks.\"\n ),\n)\n", + "language": "python", + "type": "file" + }, + { + "name": "_common.py", + "content": "\"\"\"Shared model/workspace wiring for the Antigravity demo agents.\n\nAntigravity gives every session a real subprocess with filesystem and shell\naccess, so the demos confine it to a scratch workspace rather than the server's\nworking directory.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport os\nimport tempfile\n\nfrom google.antigravity import CapabilitiesConfig\nfrom google.antigravity.types import BuiltinTools\n\nWORKSPACE = os.environ.get(\n \"ANTIGRAVITY_WORKSPACE\", os.path.join(tempfile.gettempdir(), \"ag-ui-antigravity\")\n)\n# exist_ok only tolerates an existing *directory*; a leftover file at this path\n# would otherwise abort the import with a bare FileExistsError.\nif os.path.exists(WORKSPACE) and not os.path.isdir(WORKSPACE):\n raise RuntimeError(\n f\"ANTIGRAVITY_WORKSPACE points at {WORKSPACE!r}, which exists but is not a \"\n \"directory. Remove it or set ANTIGRAVITY_WORKSPACE to a free path.\"\n )\nos.makedirs(WORKSPACE, exist_ok=True)\n\n# Seed the sandbox so the backend-tool demo has something real to inspect.\n_SEED = {\n \"README.md\": (\n \"# Antigravity demo workspace\\n\\n\"\n \"The agent has real filesystem and shell access, scoped to this\\n\"\n 'directory. Try: \"list the files here\", \"read notes.txt\", or\\n'\n '\"create a file called hello.txt\".\\n'\n ),\n \"notes.txt\": \"Project codename: Octarine\\nStatus: shipping\\n\",\n}\nfor _name, _body in _SEED.items():\n _path = os.path.join(WORKSPACE, _name)\n if not os.path.exists(_path):\n with open(_path, \"w\") as _handle:\n _handle.write(_body)\n\n# The SDK's OpenAI-compatible path targets unauthenticated local servers. To\n# demo against hosted OpenAI, set ANTIGRAVITY_USE_OPENAI=1 and the example shim\n# injects the Authorization header (see ../openai_proxy.py).\nUSE_OPENAI = os.environ.get(\"ANTIGRAVITY_USE_OPENAI\") == \"1\"\n\nif USE_OPENAI:\n from ..openai_proxy import start_background\n\n BASE_URL = start_background(port=int(os.environ.get(\"ANTIGRAVITY_SHIM_PORT\", 8931)))\n MODEL = os.environ.get(\"ANTIGRAVITY_MODEL\", \"gpt-4.1-mini\")\nelse:\n BASE_URL = None\n MODEL = os.environ.get(\"ANTIGRAVITY_MODEL\") # None -> the SDK default\n\n\ndef chat_only_capabilities() -> CapabilitiesConfig:\n \"\"\"Enables no built-in tool except `finish`.\n\n `enabled_tools` is an allowlist, so this strips the harness' *entire*\n built-in toolset -- filesystem, shell, subagents, image generation,\n `search_web` and `ask_question` -- leaving the demos to use only the tools\n the client supplies. Two reasons:\n\n * `search_web` returns an empty summary unless the harness has Google\n credentials, and the model then retries it until the turn never settles.\n * `ask_question` would park on an AG-UI interrupt, and the dojo answers\n frontend tools (via `ToolMessage`) rather than interrupts (via\n `RunAgentInput.resume`), so nothing would ever resolve it. The same\n constraint is why no demo here sets `tool_approval=True`.\n\n `finish` must stay: the harness uses it to end a turn.\n \"\"\"\n return CapabilitiesConfig(\n enabled_tools=[BuiltinTools.FINISH], enable_subagents=False\n )\n\n\n# Each AntigravityAgent owns a HarnessPool by default, so a server hosting\n# several demo agents would get one harness process per *agent* rather than one\n# for the server. Nothing about an agent's config prevents sharing: tools,\n# instructions, model and workspaces all ride in HarnessConfig, per\n# conversation. Only save_dir and env are fixed at process start, so pinning\n# both here puts every demo in one pool partition -- and one process.\n_SHARED_SAVE_DIR = os.path.join(WORKSPACE, \".sessions\")\nos.makedirs(_SHARED_SAVE_DIR, exist_ok=True)\n_SHARED_POOL = None\n\n\ndef shared_pool():\n \"\"\"The one pool every demo agent draws from.\"\"\"\n global _SHARED_POOL\n if _SHARED_POOL is None:\n from ag_ui_antigravity.harness_pool import HarnessPool\n\n _SHARED_POOL = HarnessPool()\n return _SHARED_POOL\n\n\ndef build(**kwargs):\n \"\"\"Creates an AntigravityAgent with the demo's shared model/workspace.\"\"\"\n from ag_ui_antigravity import AntigravityAgent\n\n defaults = dict(\n model=MODEL,\n base_url=BASE_URL,\n workspaces=[WORKSPACE],\n harness_pool=shared_pool(),\n save_dir=_SHARED_SAVE_DIR,\n )\n defaults.update(kwargs)\n return AntigravityAgent(**defaults)\n", + "language": "python", + "type": "file" + }, + { + "name": "__init__.py", + "content": "\"\"\"Demo server exposing one Antigravity agent per dojo feature.\n\nAgainst Gemini (the SDK's native path):\n\n export GEMINI_API_KEY=...\n uv run dev\n\nAgainst hosted OpenAI (uses the auth-injecting shim in this package):\n\n export OPENAI_API_KEY=...\n export ANTIGRAVITY_USE_OPENAI=1\n uv run dev\n\"\"\"\n\nfrom __future__ import annotations\n\nimport os\n\nimport uvicorn\nfrom ag_ui_antigravity import create_antigravity_app\n\nfrom .api import (\n agentic_chat,\n backend_tool_rendering,\n human_in_the_loop,\n tool_based_generative_ui,\n)\nfrom .api._common import WORKSPACE\n\n# Keys must match the dojo feature ids in apps/dojo/src/menu.ts.\nAGENTS = {\n \"agentic_chat\": agentic_chat.agent,\n \"human_in_the_loop\": human_in_the_loop.agent,\n \"tool_based_generative_ui\": tool_based_generative_ui.agent,\n \"backend_tool_rendering\": backend_tool_rendering.agent,\n}\n\napp = create_antigravity_app(AGENTS)\n\n\ndef main() -> None:\n \"\"\"Starts the demo server.\"\"\"\n if not os.getenv(\"OPENAI_API_KEY\") and not os.getenv(\"GEMINI_API_KEY\"):\n print(\"⚠️ No model credentials found.\")\n print(\" Gemini (default): export GEMINI_API_KEY=...\")\n print(\" OpenAI (via shim): export OPENAI_API_KEY=... ANTIGRAVITY_USE_OPENAI=1\")\n print()\n\n port = int(os.getenv(\"PORT\", \"8027\"))\n print(\"Starting Antigravity demo server...\")\n print(f\" workspace: {WORKSPACE}\")\n for name in AGENTS:\n print(f\" • {name}: http://localhost:{port}/{name}\")\n # Pass the app object rather than an import string: the string form only\n # resolves when the process happens to be started from this directory.\n uvicorn.run(app, host=\"0.0.0.0\", port=port)\n\n\nif __name__ == \"__main__\":\n main()\n\n__all__ = [\"app\", \"main\"]\n", + "language": "python", + "type": "file" + } + ], + "antigravity::human_in_the_loop": [ + { + "name": "page.tsx", + "content": "\"use client\";\nimport React, { useState, useEffect } from \"react\";\nimport \"@copilotkit/react-core/v2/styles.css\";\nimport { \n useHumanInTheLoop,\n useConfigureSuggestions,\n CopilotChat,\n CopilotChatConfigurationProvider,\n} from \"@copilotkit/react-core/v2\";\nimport { CopilotKit,\nuseLangGraphInterrupt } from \"@copilotkit/react-core\";\nimport { z } from \"zod\";\nimport { useTheme } from \"next-themes\";\n\ninterface HumanInTheLoopProps {\n params: Promise<{\n integrationId: string;\n }>;\n}\n\nconst HumanInTheLoop: React.FC = ({ params }) => {\n const { integrationId } = React.use(params);\n\n return (\n \n \n \n );\n};\n\ninterface Step {\n description: string;\n status: \"disabled\" | \"enabled\" | \"executing\";\n}\n\n// Shared UI Components\nconst StepContainer = ({ theme, children }: { theme?: string; children: React.ReactNode }) => (\n
\n \n {children}\n
\n \n);\n\nconst StepHeader = ({\n theme,\n enabledCount,\n totalCount,\n status,\n showStatus = false,\n}: {\n theme?: string;\n enabledCount: number;\n totalCount: number;\n status?: string;\n showStatus?: boolean;\n}) => (\n
\n
\n

\n Select Steps\n

\n
\n
\n {enabledCount}/{totalCount} Selected\n
\n {showStatus && (\n \n {status === \"executing\" ? \"Ready\" : \"Waiting\"}\n
\n )}\n
\n
\n\n \n 0 ? (enabledCount / totalCount) * 100 : 0}%` }}\n />\n \n \n);\n\nconst StepItem = ({\n step,\n theme,\n status,\n onToggle,\n disabled = false,\n}: {\n step: { description: string; status: string };\n theme?: string;\n status?: string;\n onToggle: () => void;\n disabled?: boolean;\n}) => (\n \n \n \n);\n\nconst ActionButton = ({\n variant,\n theme,\n disabled,\n onClick,\n children,\n}: {\n variant: \"primary\" | \"secondary\" | \"success\" | \"danger\";\n theme?: string;\n disabled?: boolean;\n onClick: () => void;\n children: React.ReactNode;\n}) => {\n const baseClasses = \"px-6 py-3 rounded-lg font-semibold transition-all duration-200\";\n const enabledClasses = \"hover:scale-105 shadow-md hover:shadow-lg\";\n const disabledClasses = \"opacity-50 cursor-not-allowed\";\n\n const variantClasses = {\n primary:\n \"bg-gradient-to-r from-purple-500 to-purple-700 hover:from-purple-600 hover:to-purple-800 text-white shadow-lg hover:shadow-xl\",\n secondary:\n theme === \"dark\"\n ? \"bg-slate-700 hover:bg-slate-600 text-white border border-slate-600 hover:border-slate-500\"\n : \"bg-gray-100 hover:bg-gray-200 text-gray-800 border border-gray-300 hover:border-gray-400\",\n success:\n \"bg-gradient-to-r from-green-500 to-emerald-600 hover:from-green-600 hover:to-emerald-700 text-white shadow-lg hover:shadow-xl\",\n danger:\n \"bg-gradient-to-r from-red-500 to-red-600 hover:from-red-600 hover:to-red-700 text-white shadow-lg hover:shadow-xl\",\n };\n\n return (\n \n {children}\n \n );\n};\n\nconst DecorativeElements = ({\n theme,\n variant = \"default\",\n}: {\n theme?: string;\n variant?: \"default\" | \"success\" | \"danger\";\n}) => (\n <>\n \n \n \n);\nconst InterruptHumanInTheLoop: React.FC<{\n event: { value: { steps: Step[] } };\n resolve: (value: string) => void;\n}> = ({ event, resolve }) => {\n const { theme } = useTheme();\n\n // Parse and initialize steps data\n let initialSteps: Step[] = [];\n if (event.value && event.value.steps && Array.isArray(event.value.steps)) {\n initialSteps = event.value.steps.map((step: any) => ({\n description: typeof step === \"string\" ? step : step.description || \"\",\n status: typeof step === \"object\" && step.status ? step.status : \"enabled\",\n }));\n }\n\n const [localSteps, setLocalSteps] = useState(initialSteps);\n const enabledCount = localSteps.filter((step) => step.status === \"enabled\").length;\n\n const handleStepToggle = (index: number) => {\n setLocalSteps((prevSteps) =>\n prevSteps.map((step, i) =>\n i === index\n ? { ...step, status: step.status === \"enabled\" ? \"disabled\" : \"enabled\" }\n : step,\n ),\n );\n };\n\n const handlePerformSteps = () => {\n const selectedSteps = localSteps\n .filter((step) => step.status === \"enabled\")\n .map((step) => step.description);\n resolve(\"The user selected the following steps: \" + selectedSteps.join(\", \"));\n };\n\n return (\n \n \n\n
\n {localSteps.map((step, index) => (\n handleStepToggle(index)}\n />\n ))}\n
\n\n
\n \n ✨\n Perform Steps\n \n {enabledCount}\n \n \n
\n\n \n \n );\n};\n\nconst Chat = ({ integrationId }: { integrationId: string }) => {\n return (\n \n \n \n );\n};\n\nconst ChatContent = () => {\n useConfigureSuggestions({\n suggestions: [\n { title: \"Simple plan\", message: \"Please plan a trip to mars in 5 steps.\" },\n { title: \"Complex plan\", message: \"Please plan a pasta dish in 10 steps.\" },\n ],\n available: \"always\",\n });\n\n // Langgraph uses it's own hook to handle human-in-the-loop interactions via langgraph interrupts,\n // This hook won't do anything for other integrations.\n useLangGraphInterrupt({\n \n render: ({ event, resolve }) => ,\n });\n useHumanInTheLoop({\n agentId: \"human_in_the_loop\",\n name: \"generate_task_steps\",\n description: \"Generates a list of steps for the user to perform\",\n parameters: z.object({\n steps: z.array(\n z.object({\n description: z.string(),\n status: z.enum([\"enabled\", \"disabled\", \"executing\"]),\n }),\n ),\n }) ,\n // Note: In v1, `available` was used to disable this for langgraph integrations.\n // In v2, availability is handled at the agent/backend level.\n render: ({ args, respond, status }: any) => {\n return ;\n },\n });\n\n return (\n
\n
\n \n
\n
\n );\n};\n\nconst StepsFeedback = ({ args, respond, status }: { args: any; respond: any; status: any }) => {\n const { theme } = useTheme();\n const [localSteps, setLocalSteps] = useState([]);\n const [accepted, setAccepted] = useState(null);\n\n useEffect(() => {\n if (status === \"executing\" && localSteps.length === 0 && Array.isArray(args?.steps) && args.steps.length > 0) {\n setLocalSteps(args.steps);\n }\n }, [status, args?.steps, localSteps]);\n\n if (!Array.isArray(args?.steps) || args.steps.length === 0) {\n return <>;\n }\n\n const steps = Array.isArray(localSteps) && localSteps.length > 0 ? localSteps : args.steps;\n const enabledCount = steps.filter((step: any) => step.status === \"enabled\").length;\n\n const handleStepToggle = (index: number) => {\n setLocalSteps((prevSteps) =>\n prevSteps.map((step, i) =>\n i === index\n ? { ...step, status: step.status === \"enabled\" ? \"disabled\" : \"enabled\" }\n : step,\n ),\n );\n };\n\n const handleReject = () => {\n if (respond) {\n setAccepted(false);\n respond({ accepted: false });\n }\n };\n\n const handleConfirm = () => {\n if (respond) {\n const confirmedSteps = localSteps.filter((step) => step.status === \"enabled\");\n setAccepted(true);\n respond({ accepted: true, steps: confirmedSteps });\n }\n };\n\n return (\n \n \n\n
\n {steps.map((step: any, index: any) => (\n handleStepToggle(index)}\n disabled={status !== \"executing\"}\n />\n ))}\n
\n\n {/* Action Buttons - Different logic from InterruptHumanInTheLoop */}\n {accepted === null && (\n
\n \n ✗\n Reject\n \n \n ✓\n Confirm\n \n {enabledCount}\n \n \n
\n )}\n\n {/* Result State - Unique to StepsFeedback */}\n {accepted !== null && (\n
\n \n {accepted ? \"✓\" : \"✗\"}\n {accepted ? \"Accepted\" : \"Rejected\"}\n
\n \n )}\n\n \n \n );\n};\n\nexport default HumanInTheLoop;\n", + "language": "typescript", + "type": "file" + }, + { + "name": "README.mdx", + "content": "# 🤝 Human-in-the-Loop Task Planner\n\n## What This Demo Shows\n\nThis demo showcases CopilotKit's **human-in-the-loop** capabilities:\n\n1. **Collaborative Planning**: The Copilot generates task steps and lets you\n decide which ones to perform\n2. **Interactive Decision Making**: Select or deselect steps to customize the\n execution plan\n3. **Adaptive Responses**: The Copilot adapts its execution based on your\n choices, even handling missing steps\n\n## How to Interact\n\nTry these steps to experience the demo:\n\n1. Ask your Copilot to help with a task, such as:\n\n - \"Make me a sandwich\"\n - \"Plan a weekend trip\"\n - \"Organize a birthday party\"\n - \"Start a garden\"\n\n2. Review the suggested steps provided by your Copilot\n\n3. Select or deselect steps using the checkboxes to customize the plan\n\n - Try removing essential steps to see how the Copilot adapts!\n\n4. Click \"Execute Plan\" to see the outcome based on your selections\n\n## ✨ Human-in-the-Loop Magic in Action\n\n**What's happening technically:**\n\n- The agent analyzes your request and breaks it down into logical steps\n- These steps are presented to you through a dynamic UI component\n- Your selections are captured as user input\n- The agent considers your choices when executing the plan\n- The agent adapts to missing steps with creative problem-solving\n\n**What you'll see in this demo:**\n\n- The Copilot provides a detailed, step-by-step plan for your task\n- You have complete control over which steps to include\n- If you remove essential steps, the Copilot provides entertaining and creative\n workarounds\n- The final execution reflects your choices, showing how human input shapes the\n outcome\n- Each response is tailored to your specific selections\n\nThis human-in-the-loop pattern creates a powerful collaborative experience where\nboth human judgment and AI capabilities work together to achieve better results\nthan either could alone!\n", + "language": "markdown", + "type": "file" + }, + { + "name": "human_in_the_loop.py", + "content": "\"\"\"Human-in-the-loop: the run pauses on the user and resumes on the next run.\n\nThe client's tools become custom async Antigravity tools. Calling one emits\nTOOL_CALL_START/ARGS/END, parks on an asyncio.Future, and ends the run; the\nnext run resolves the Future from the client's `ToolMessage`. This works\nbecause Antigravity's custom tools are awaited with no timeout, so the harness\nstays alive while run N's SSE response is already closed.\n\nThe adapter also supports the model's own `ask_question` interaction, mapped to\nan AG-UI interrupt via OnInteractionHook. That path is NOT exercised here:\n`chat_only_capabilities()` disables the `ask_question` built-in, because the\ndojo answers frontend tools rather than `RunAgentInput.resume` interrupts. Drop\nthe capability restriction to try it against a client that handles interrupts.\n\"\"\"\n\nfrom __future__ import annotations\n\nfrom ._common import build, chat_only_capabilities\n\nagent = build(\n capabilities=chat_only_capabilities(),\n system_instructions=(\n \"You plan tasks with the user. When you need the user to choose \"\n \"between options, ask them rather than guessing. Use the frontend \"\n \"tools the user provides to present plans, and revise the plan when \"\n \"the user changes it.\"\n ),\n)\n", + "language": "python", + "type": "file" + }, + { + "name": "_common.py", + "content": "\"\"\"Shared model/workspace wiring for the Antigravity demo agents.\n\nAntigravity gives every session a real subprocess with filesystem and shell\naccess, so the demos confine it to a scratch workspace rather than the server's\nworking directory.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport os\nimport tempfile\n\nfrom google.antigravity import CapabilitiesConfig\nfrom google.antigravity.types import BuiltinTools\n\nWORKSPACE = os.environ.get(\n \"ANTIGRAVITY_WORKSPACE\", os.path.join(tempfile.gettempdir(), \"ag-ui-antigravity\")\n)\n# exist_ok only tolerates an existing *directory*; a leftover file at this path\n# would otherwise abort the import with a bare FileExistsError.\nif os.path.exists(WORKSPACE) and not os.path.isdir(WORKSPACE):\n raise RuntimeError(\n f\"ANTIGRAVITY_WORKSPACE points at {WORKSPACE!r}, which exists but is not a \"\n \"directory. Remove it or set ANTIGRAVITY_WORKSPACE to a free path.\"\n )\nos.makedirs(WORKSPACE, exist_ok=True)\n\n# Seed the sandbox so the backend-tool demo has something real to inspect.\n_SEED = {\n \"README.md\": (\n \"# Antigravity demo workspace\\n\\n\"\n \"The agent has real filesystem and shell access, scoped to this\\n\"\n 'directory. Try: \"list the files here\", \"read notes.txt\", or\\n'\n '\"create a file called hello.txt\".\\n'\n ),\n \"notes.txt\": \"Project codename: Octarine\\nStatus: shipping\\n\",\n}\nfor _name, _body in _SEED.items():\n _path = os.path.join(WORKSPACE, _name)\n if not os.path.exists(_path):\n with open(_path, \"w\") as _handle:\n _handle.write(_body)\n\n# The SDK's OpenAI-compatible path targets unauthenticated local servers. To\n# demo against hosted OpenAI, set ANTIGRAVITY_USE_OPENAI=1 and the example shim\n# injects the Authorization header (see ../openai_proxy.py).\nUSE_OPENAI = os.environ.get(\"ANTIGRAVITY_USE_OPENAI\") == \"1\"\n\nif USE_OPENAI:\n from ..openai_proxy import start_background\n\n BASE_URL = start_background(port=int(os.environ.get(\"ANTIGRAVITY_SHIM_PORT\", 8931)))\n MODEL = os.environ.get(\"ANTIGRAVITY_MODEL\", \"gpt-4.1-mini\")\nelse:\n BASE_URL = None\n MODEL = os.environ.get(\"ANTIGRAVITY_MODEL\") # None -> the SDK default\n\n\ndef chat_only_capabilities() -> CapabilitiesConfig:\n \"\"\"Enables no built-in tool except `finish`.\n\n `enabled_tools` is an allowlist, so this strips the harness' *entire*\n built-in toolset -- filesystem, shell, subagents, image generation,\n `search_web` and `ask_question` -- leaving the demos to use only the tools\n the client supplies. Two reasons:\n\n * `search_web` returns an empty summary unless the harness has Google\n credentials, and the model then retries it until the turn never settles.\n * `ask_question` would park on an AG-UI interrupt, and the dojo answers\n frontend tools (via `ToolMessage`) rather than interrupts (via\n `RunAgentInput.resume`), so nothing would ever resolve it. The same\n constraint is why no demo here sets `tool_approval=True`.\n\n `finish` must stay: the harness uses it to end a turn.\n \"\"\"\n return CapabilitiesConfig(\n enabled_tools=[BuiltinTools.FINISH], enable_subagents=False\n )\n\n\n# Each AntigravityAgent owns a HarnessPool by default, so a server hosting\n# several demo agents would get one harness process per *agent* rather than one\n# for the server. Nothing about an agent's config prevents sharing: tools,\n# instructions, model and workspaces all ride in HarnessConfig, per\n# conversation. Only save_dir and env are fixed at process start, so pinning\n# both here puts every demo in one pool partition -- and one process.\n_SHARED_SAVE_DIR = os.path.join(WORKSPACE, \".sessions\")\nos.makedirs(_SHARED_SAVE_DIR, exist_ok=True)\n_SHARED_POOL = None\n\n\ndef shared_pool():\n \"\"\"The one pool every demo agent draws from.\"\"\"\n global _SHARED_POOL\n if _SHARED_POOL is None:\n from ag_ui_antigravity.harness_pool import HarnessPool\n\n _SHARED_POOL = HarnessPool()\n return _SHARED_POOL\n\n\ndef build(**kwargs):\n \"\"\"Creates an AntigravityAgent with the demo's shared model/workspace.\"\"\"\n from ag_ui_antigravity import AntigravityAgent\n\n defaults = dict(\n model=MODEL,\n base_url=BASE_URL,\n workspaces=[WORKSPACE],\n harness_pool=shared_pool(),\n save_dir=_SHARED_SAVE_DIR,\n )\n defaults.update(kwargs)\n return AntigravityAgent(**defaults)\n", + "language": "python", + "type": "file" + }, + { + "name": "__init__.py", + "content": "\"\"\"Demo server exposing one Antigravity agent per dojo feature.\n\nAgainst Gemini (the SDK's native path):\n\n export GEMINI_API_KEY=...\n uv run dev\n\nAgainst hosted OpenAI (uses the auth-injecting shim in this package):\n\n export OPENAI_API_KEY=...\n export ANTIGRAVITY_USE_OPENAI=1\n uv run dev\n\"\"\"\n\nfrom __future__ import annotations\n\nimport os\n\nimport uvicorn\nfrom ag_ui_antigravity import create_antigravity_app\n\nfrom .api import (\n agentic_chat,\n backend_tool_rendering,\n human_in_the_loop,\n tool_based_generative_ui,\n)\nfrom .api._common import WORKSPACE\n\n# Keys must match the dojo feature ids in apps/dojo/src/menu.ts.\nAGENTS = {\n \"agentic_chat\": agentic_chat.agent,\n \"human_in_the_loop\": human_in_the_loop.agent,\n \"tool_based_generative_ui\": tool_based_generative_ui.agent,\n \"backend_tool_rendering\": backend_tool_rendering.agent,\n}\n\napp = create_antigravity_app(AGENTS)\n\n\ndef main() -> None:\n \"\"\"Starts the demo server.\"\"\"\n if not os.getenv(\"OPENAI_API_KEY\") and not os.getenv(\"GEMINI_API_KEY\"):\n print(\"⚠️ No model credentials found.\")\n print(\" Gemini (default): export GEMINI_API_KEY=...\")\n print(\" OpenAI (via shim): export OPENAI_API_KEY=... ANTIGRAVITY_USE_OPENAI=1\")\n print()\n\n port = int(os.getenv(\"PORT\", \"8027\"))\n print(\"Starting Antigravity demo server...\")\n print(f\" workspace: {WORKSPACE}\")\n for name in AGENTS:\n print(f\" • {name}: http://localhost:{port}/{name}\")\n # Pass the app object rather than an import string: the string form only\n # resolves when the process happens to be started from this directory.\n uvicorn.run(app, host=\"0.0.0.0\", port=port)\n\n\nif __name__ == \"__main__\":\n main()\n\n__all__ = [\"app\", \"main\"]\n", + "language": "python", + "type": "file" + } + ], + "antigravity::tool_based_generative_ui": [ + { + "name": "page.tsx", + "content": "\"use client\";\nimport React, { useState } from \"react\";\nimport \"@copilotkit/react-core/v2/styles.css\";\nimport { \n useFrontendTool,\n useConfigureSuggestions,\n CopilotSidebar,\n} from \"@copilotkit/react-core/v2\";\nimport { z } from \"zod\";\nimport {\n Carousel,\n CarouselContent,\n CarouselItem,\n CarouselNext,\n CarouselPrevious,\n} from \"@/components/ui/carousel\";\nimport { useURLParams } from \"@/contexts/url-params-context\";\nimport { CopilotKit } from \"@copilotkit/react-core\";\n\ninterface ToolBasedGenerativeUIProps {\n params: Promise<{\n integrationId: string;\n }>;\n}\n\ninterface Haiku {\n japanese: string[];\n english: string[];\n image_name: string | null;\n gradient: string;\n}\n\nexport default function ToolBasedGenerativeUI({ params }: ToolBasedGenerativeUIProps) {\n const { integrationId } = React.use(params);\n const { chatDefaultOpen } = useURLParams();\n\n return (\n \n \n \n \n );\n}\n\nfunction SidebarWithSuggestions({ defaultOpen }: { defaultOpen: boolean }) {\n useConfigureSuggestions({\n suggestions: [\n { title: \"Nature Haiku\", message: \"Write me a haiku about nature.\" },\n { title: \"Ocean Haiku\", message: \"Create a haiku about the ocean.\" },\n { title: \"Spring Haiku\", message: \"Generate a haiku about spring.\" },\n ],\n available: \"always\",\n });\n\n return (\n \n );\n}\n\nconst VALID_IMAGE_NAMES = [\n \"Osaka_Castle_Turret_Stone_Wall_Pine_Trees_Daytime.jpg\",\n \"Tokyo_Skyline_Night_Tokyo_Tower_Mount_Fuji_View.jpg\",\n \"Itsukushima_Shrine_Miyajima_Floating_Torii_Gate_Sunset_Long_Exposure.jpg\",\n \"Takachiho_Gorge_Waterfall_River_Lush_Greenery_Japan.jpg\",\n \"Bonsai_Tree_Potted_Japanese_Art_Green_Foliage.jpeg\",\n \"Shirakawa-go_Gassho-zukuri_Thatched_Roof_Village_Aerial_View.jpg\",\n \"Ginkaku-ji_Silver_Pavilion_Kyoto_Japanese_Garden_Pond_Reflection.jpg\",\n \"Senso-ji_Temple_Asakusa_Cherry_Blossoms_Kimono_Umbrella.jpg\",\n \"Cherry_Blossoms_Sakura_Night_View_City_Lights_Japan.jpg\",\n \"Mount_Fuji_Lake_Reflection_Cherry_Blossoms_Sakura_Spring.jpg\",\n];\n\nfunction HaikuDisplay() {\n const [activeIndex, setActiveIndex] = useState(0);\n const [haikus, setHaikus] = useState([\n {\n japanese: [\"仮の句よ\", \"まっさらながら\", \"花を呼ぶ\"],\n english: [\"A placeholder verse—\", \"even in a blank canvas,\", \"it beckons flowers.\"],\n image_name: null,\n gradient: \"\",\n },\n ]);\n\n useFrontendTool(\n {\n agentId: \"tool_based_generative_ui\",\n name: \"generate_haiku\",\n parameters: z.object({\n japanese: z.array(z.string()).describe(\"3 lines of haiku in Japanese\"),\n english: z.array(z.string()).describe(\"3 lines of haiku translated to English\"),\n image_name: z.string().describe(`One relevant image name from: ${VALID_IMAGE_NAMES.join(\", \")}`),\n gradient: z.string().describe(\"CSS Gradient color for the background\"),\n }) ,\n followUp: false,\n handler: async ({ japanese, english, image_name, gradient }: { japanese: string[]; english: string[]; image_name: string; gradient: string }) => {\n const newHaiku: Haiku = {\n japanese: japanese || [],\n english: english || [],\n image_name: image_name || null,\n gradient: gradient || \"\",\n };\n setHaikus((prev) => [\n newHaiku,\n ...prev.filter((h) => h.english[0] !== \"A placeholder verse—\"),\n ]);\n setActiveIndex(0);\n return \"Haiku generated!\";\n },\n render: ({ args }: { args: Partial }) => {\n if (!args.japanese) return <>;\n return ;\n },\n },\n [haikus],\n );\n\n const currentHaiku = haikus[activeIndex];\n\n return (\n
\n
\n \n \n {haikus.map((haiku, index) => (\n \n \n \n ))}\n \n {haikus.length > 1 && (\n <>\n \n \n \n )}\n \n
\n
\n );\n}\n\nfunction HaikuCard({ haiku }: { haiku: Partial }) {\n return (\n \n {/* Decorative background elements */}\n
\n
\n\n {/* Haiku Text */}\n
\n {haiku.japanese?.map((line, index) => (\n \n \n {line}\n

\n \n {haiku.english?.[index]}\n

\n
\n ))}\n
\n\n {/* Image */}\n {haiku.image_name && (\n
\n
\n \n
\n
\n
\n )}\n
\n );\n}\n", + "language": "typescript", + "type": "file" + }, + { + "name": "style.css", + "content": ".page-background {\n /* Darker gradient background */\n background: linear-gradient(170deg, #e9ecef 0%, #ced4da 100%);\n}\n\n@keyframes fade-scale-in {\n from {\n opacity: 0;\n transform: translateY(10px) scale(0.98);\n }\n to {\n opacity: 1;\n transform: translateY(0) scale(1);\n }\n}\n\n/* Updated card entry animation */\n@keyframes pop-in {\n 0% {\n opacity: 0;\n transform: translateY(15px) scale(0.95);\n }\n 70% {\n opacity: 1;\n transform: translateY(-2px) scale(1.02);\n }\n 100% {\n opacity: 1;\n transform: translateY(0) scale(1);\n }\n}\n\n/* Animation for subtle background gradient movement */\n@keyframes animated-gradient {\n 0% {\n background-position: 0% 50%;\n }\n 50% {\n background-position: 100% 50%;\n }\n 100% {\n background-position: 0% 50%;\n }\n}\n\n/* Animation for flash effect on apply */\n@keyframes flash-border-glow {\n 0% {\n /* Start slightly intensified */\n border-top-color: #ff5b4a !important;\n box-shadow: 0 10px 30px rgba(0, 0, 0, 0.07),\n inset 0 1px 2px rgba(0, 0, 0, 0.01),\n 0 0 25px rgba(255, 91, 74, 0.5);\n }\n 50% {\n /* Peak intensity */\n border-top-color: #ff4733 !important;\n box-shadow: 0 10px 30px rgba(0, 0, 0, 0.08),\n inset 0 1px 2px rgba(0, 0, 0, 0.01),\n 0 0 35px rgba(255, 71, 51, 0.7);\n }\n 100% {\n /* Return to default state appearance */\n border-top-color: #ff6f61 !important;\n box-shadow: 0 10px 30px rgba(0, 0, 0, 0.07),\n inset 0 1px 2px rgba(0, 0, 0, 0.01),\n 0 0 10px rgba(255, 111, 97, 0.15);\n }\n}\n\n/* Existing animation for haiku lines */\n@keyframes fade-slide-in {\n from {\n opacity: 0;\n transform: translateX(-15px);\n }\n to {\n opacity: 1;\n transform: translateX(0);\n }\n}\n\n.animated-fade-in {\n /* Use the new pop-in animation */\n animation: pop-in 0.6s ease-out forwards;\n}\n\n.haiku-card {\n /* Subtle animated gradient background */\n background: linear-gradient(120deg, #ffffff 0%, #fdfdfd 50%, #ffffff 100%);\n background-size: 200% 200%;\n animation: animated-gradient 10s ease infinite;\n\n /* === Explicit Border Override Attempt === */\n /* 1. Set the default grey border for all sides */\n border: 1px solid #dee2e6;\n\n /* 2. Explicitly override the top border immediately after */\n border-top: 10px solid #ff6f61 !important; /* Orange top - Added !important */\n /* === End Explicit Border Override Attempt === */\n\n padding: 2.5rem 3rem;\n border-radius: 20px;\n\n /* Default glow intensity */\n box-shadow: 0 10px 30px rgba(0, 0, 0, 0.07),\n inset 0 1px 2px rgba(0, 0, 0, 0.01),\n 0 0 15px rgba(255, 111, 97, 0.25);\n text-align: left;\n max-width: 745px;\n margin: 3rem auto;\n min-width: 600px;\n\n /* Transition */\n transition: transform 0.35s ease, box-shadow 0.35s ease, border-top-width 0.35s ease, border-top-color 0.35s ease;\n}\n\n.haiku-card:hover {\n transform: translateY(-8px) scale(1.03);\n /* Enhanced shadow + Glow */\n box-shadow: 0 15px 35px rgba(0, 0, 0, 0.1),\n inset 0 1px 2px rgba(0, 0, 0, 0.01),\n 0 0 25px rgba(255, 91, 74, 0.5);\n /* Modify only top border properties */\n border-top-width: 14px !important; /* Added !important */\n border-top-color: #ff5b4a !important; /* Added !important */\n}\n\n.haiku-card .flex {\n margin-bottom: 1.5rem;\n}\n\n.haiku-card .flex.haiku-line { /* Target the lines specifically */\n margin-bottom: 1.5rem;\n opacity: 0; /* Start hidden for animation */\n animation: fade-slide-in 0.5s ease-out forwards;\n /* animation-delay is set inline in page.tsx */\n}\n\n/* Remove previous explicit color overrides - rely on Tailwind */\n/* .haiku-card p.text-4xl {\n color: #212529;\n}\n\n.haiku-card p.text-base {\n color: #495057;\n} */\n\n.haiku-card.applied-flash {\n /* Apply the flash animation once */\n /* Note: animation itself has !important on border-top-color */\n animation: flash-border-glow 0.6s ease-out forwards;\n}\n\n/* Styling for images within the main haiku card */\n.haiku-card-image {\n width: 9.5rem; /* Increased size (approx w-48) */\n height: 9.5rem; /* Increased size (approx h-48) */\n object-fit: cover;\n border-radius: 1.5rem; /* rounded-xl */\n border: 1px solid #e5e7eb;\n /* Enhanced shadow with subtle orange hint */\n box-shadow: 0 8px 15px rgba(0, 0, 0, 0.1),\n 0 3px 6px rgba(0, 0, 0, 0.08),\n 0 0 10px rgba(255, 111, 97, 0.2);\n /* Inherit animation delay from inline style */\n animation-name: fadeIn;\n animation-duration: 0.5s;\n animation-fill-mode: both;\n}\n\n/* Styling for images within the suggestion card */\n.suggestion-card-image {\n width: 6.5rem; /* Increased slightly (w-20) */\n height: 6.5rem; /* Increased slightly (h-20) */\n object-fit: cover;\n border-radius: 1rem; /* Equivalent to rounded-md */\n border: 1px solid #d1d5db; /* Equivalent to border (using Tailwind gray-300) */\n margin-top: 0.5rem;\n /* Added shadow for suggestion images */\n box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1),\n 0 2px 4px rgba(0, 0, 0, 0.06);\n transition: all 0.2s ease-in-out; /* Added for smooth deselection */\n}\n\n/* Styling for the focused suggestion card image */\n.suggestion-card-image-focus {\n width: 6.5rem;\n height: 6.5rem;\n object-fit: cover;\n border-radius: 1rem;\n margin-top: 0.5rem;\n /* Highlight styles */\n border: 2px solid #ff6f61; /* Thicker, themed border */\n box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1), /* Base shadow for depth */\n 0 0 12px rgba(255, 111, 97, 0.6); /* Orange glow */\n transform: scale(1.05); /* Slightly scale up */\n transition: all 0.2s ease-in-out; /* Smooth transition for focus */\n}\n\n/* Styling for the suggestion card container in the sidebar */\n.suggestion-card {\n border: 1px solid #dee2e6; /* Same default border as haiku-card */\n border-top: 10px solid #ff6f61; /* Same orange top border */\n border-radius: 0.375rem; /* Default rounded-md */\n /* Note: background-color is set by Tailwind bg-gray-100 */\n /* Other styles like padding, margin, flex are handled by Tailwind */\n}\n\n.suggestion-image-container {\n display: flex;\n gap: 1rem;\n justify-content: space-between;\n width: 100%;\n height: 6.5rem;\n}\n\n/* Mobile responsive styles - matches useMobileView hook breakpoint */\n@media (max-width: 767px) {\n .haiku-card {\n padding: 1rem 1.5rem; /* Reduced from 2.5rem 3rem */\n min-width: auto; /* Remove min-width constraint */\n max-width: 100%; /* Full width on mobile */\n margin: 1rem auto; /* Reduced margin */\n }\n\n .haiku-card-image {\n width: 5.625rem; /* 90px - smaller on mobile */\n height: 5.625rem; /* 90px - smaller on mobile */\n }\n\n .suggestion-card-image {\n width: 5rem; /* Slightly smaller on mobile */\n height: 5rem; /* Slightly smaller on mobile */\n }\n\n .suggestion-card-image-focus {\n width: 5rem; /* Slightly smaller on mobile */\n height: 5rem; /* Slightly smaller on mobile */\n }\n}\n", + "language": "css", + "type": "file" + }, + { + "name": "README.mdx", + "content": "# 🪶 Tool-Based Generative UI Haiku Creator\n\n## What This Demo Shows\n\nThis demo showcases CopilotKit's **tool-based generative UI** capabilities:\n\n1. **Frontend Rendering of Tool Calls**: Backend tool calls are automatically\n rendered in the UI\n2. **Dynamic UI Generation**: The UI updates in real-time as the agent generates\n content\n3. **Elegant Content Presentation**: Complex structured data (haikus) are\n beautifully displayed\n\n## How to Interact\n\nChat with your Copilot and ask for haikus about different topics:\n\n- \"Create a haiku about nature\"\n- \"Write a haiku about technology\"\n- \"Generate a haiku about the changing seasons\"\n- \"Make a humorous haiku about programming\"\n\nEach request will trigger the agent to generate a haiku and display it in a\nvisually appealing card format in the UI.\n\n## ✨ Tool-Based Generative UI in Action\n\n**What's happening technically:**\n\n- The agent processes your request and determines it should create a haiku\n- It calls a backend tool that returns structured haiku data\n- CopilotKit automatically renders this tool call in the frontend\n- The rendering is handled by the registered tool component in your React app\n- No manual state management is required to display the results\n\n**What you'll see in this demo:**\n\n- As you request a haiku, a beautifully formatted card appears in the UI\n- The haiku follows the traditional 5-7-5 syllable structure\n- Each haiku is presented with consistent styling\n- Multiple haikus can be generated in sequence\n- The UI adapts to display each new piece of content\n\nThis pattern of tool-based generative UI can be extended to create any kind of\ndynamic content - from data visualizations to interactive components, all driven\nby your Copilot's tool calls!\n", + "language": "markdown", + "type": "file" + }, + { + "name": "tool_based_generative_ui.py", + "content": "\"\"\"Tool-based generative UI: the model drives client-rendered components.\n\nEach tool the client sends in `RunAgentInput.tools` becomes a custom async\nAntigravity tool. Calling one emits TOOL_CALL_START/ARGS/END and parks the\nharness until the client returns a ToolMessage -- the return value becomes the\nmodel's tool result natively.\n\"\"\"\n\nfrom __future__ import annotations\n\nfrom ._common import build, chat_only_capabilities\n\nagent = build(\n capabilities=chat_only_capabilities(),\n system_instructions=(\n \"You help the user by calling the frontend tools they provide. \"\n \"When a tool matches the request, call it instead of describing what \"\n \"you would do. After the tool returns, briefly confirm the result.\"\n ),\n)\n", + "language": "python", + "type": "file" + }, + { + "name": "_common.py", + "content": "\"\"\"Shared model/workspace wiring for the Antigravity demo agents.\n\nAntigravity gives every session a real subprocess with filesystem and shell\naccess, so the demos confine it to a scratch workspace rather than the server's\nworking directory.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport os\nimport tempfile\n\nfrom google.antigravity import CapabilitiesConfig\nfrom google.antigravity.types import BuiltinTools\n\nWORKSPACE = os.environ.get(\n \"ANTIGRAVITY_WORKSPACE\", os.path.join(tempfile.gettempdir(), \"ag-ui-antigravity\")\n)\n# exist_ok only tolerates an existing *directory*; a leftover file at this path\n# would otherwise abort the import with a bare FileExistsError.\nif os.path.exists(WORKSPACE) and not os.path.isdir(WORKSPACE):\n raise RuntimeError(\n f\"ANTIGRAVITY_WORKSPACE points at {WORKSPACE!r}, which exists but is not a \"\n \"directory. Remove it or set ANTIGRAVITY_WORKSPACE to a free path.\"\n )\nos.makedirs(WORKSPACE, exist_ok=True)\n\n# Seed the sandbox so the backend-tool demo has something real to inspect.\n_SEED = {\n \"README.md\": (\n \"# Antigravity demo workspace\\n\\n\"\n \"The agent has real filesystem and shell access, scoped to this\\n\"\n 'directory. Try: \"list the files here\", \"read notes.txt\", or\\n'\n '\"create a file called hello.txt\".\\n'\n ),\n \"notes.txt\": \"Project codename: Octarine\\nStatus: shipping\\n\",\n}\nfor _name, _body in _SEED.items():\n _path = os.path.join(WORKSPACE, _name)\n if not os.path.exists(_path):\n with open(_path, \"w\") as _handle:\n _handle.write(_body)\n\n# The SDK's OpenAI-compatible path targets unauthenticated local servers. To\n# demo against hosted OpenAI, set ANTIGRAVITY_USE_OPENAI=1 and the example shim\n# injects the Authorization header (see ../openai_proxy.py).\nUSE_OPENAI = os.environ.get(\"ANTIGRAVITY_USE_OPENAI\") == \"1\"\n\nif USE_OPENAI:\n from ..openai_proxy import start_background\n\n BASE_URL = start_background(port=int(os.environ.get(\"ANTIGRAVITY_SHIM_PORT\", 8931)))\n MODEL = os.environ.get(\"ANTIGRAVITY_MODEL\", \"gpt-4.1-mini\")\nelse:\n BASE_URL = None\n MODEL = os.environ.get(\"ANTIGRAVITY_MODEL\") # None -> the SDK default\n\n\ndef chat_only_capabilities() -> CapabilitiesConfig:\n \"\"\"Enables no built-in tool except `finish`.\n\n `enabled_tools` is an allowlist, so this strips the harness' *entire*\n built-in toolset -- filesystem, shell, subagents, image generation,\n `search_web` and `ask_question` -- leaving the demos to use only the tools\n the client supplies. Two reasons:\n\n * `search_web` returns an empty summary unless the harness has Google\n credentials, and the model then retries it until the turn never settles.\n * `ask_question` would park on an AG-UI interrupt, and the dojo answers\n frontend tools (via `ToolMessage`) rather than interrupts (via\n `RunAgentInput.resume`), so nothing would ever resolve it. The same\n constraint is why no demo here sets `tool_approval=True`.\n\n `finish` must stay: the harness uses it to end a turn.\n \"\"\"\n return CapabilitiesConfig(\n enabled_tools=[BuiltinTools.FINISH], enable_subagents=False\n )\n\n\n# Each AntigravityAgent owns a HarnessPool by default, so a server hosting\n# several demo agents would get one harness process per *agent* rather than one\n# for the server. Nothing about an agent's config prevents sharing: tools,\n# instructions, model and workspaces all ride in HarnessConfig, per\n# conversation. Only save_dir and env are fixed at process start, so pinning\n# both here puts every demo in one pool partition -- and one process.\n_SHARED_SAVE_DIR = os.path.join(WORKSPACE, \".sessions\")\nos.makedirs(_SHARED_SAVE_DIR, exist_ok=True)\n_SHARED_POOL = None\n\n\ndef shared_pool():\n \"\"\"The one pool every demo agent draws from.\"\"\"\n global _SHARED_POOL\n if _SHARED_POOL is None:\n from ag_ui_antigravity.harness_pool import HarnessPool\n\n _SHARED_POOL = HarnessPool()\n return _SHARED_POOL\n\n\ndef build(**kwargs):\n \"\"\"Creates an AntigravityAgent with the demo's shared model/workspace.\"\"\"\n from ag_ui_antigravity import AntigravityAgent\n\n defaults = dict(\n model=MODEL,\n base_url=BASE_URL,\n workspaces=[WORKSPACE],\n harness_pool=shared_pool(),\n save_dir=_SHARED_SAVE_DIR,\n )\n defaults.update(kwargs)\n return AntigravityAgent(**defaults)\n", + "language": "python", + "type": "file" + }, + { + "name": "__init__.py", + "content": "\"\"\"Demo server exposing one Antigravity agent per dojo feature.\n\nAgainst Gemini (the SDK's native path):\n\n export GEMINI_API_KEY=...\n uv run dev\n\nAgainst hosted OpenAI (uses the auth-injecting shim in this package):\n\n export OPENAI_API_KEY=...\n export ANTIGRAVITY_USE_OPENAI=1\n uv run dev\n\"\"\"\n\nfrom __future__ import annotations\n\nimport os\n\nimport uvicorn\nfrom ag_ui_antigravity import create_antigravity_app\n\nfrom .api import (\n agentic_chat,\n backend_tool_rendering,\n human_in_the_loop,\n tool_based_generative_ui,\n)\nfrom .api._common import WORKSPACE\n\n# Keys must match the dojo feature ids in apps/dojo/src/menu.ts.\nAGENTS = {\n \"agentic_chat\": agentic_chat.agent,\n \"human_in_the_loop\": human_in_the_loop.agent,\n \"tool_based_generative_ui\": tool_based_generative_ui.agent,\n \"backend_tool_rendering\": backend_tool_rendering.agent,\n}\n\napp = create_antigravity_app(AGENTS)\n\n\ndef main() -> None:\n \"\"\"Starts the demo server.\"\"\"\n if not os.getenv(\"OPENAI_API_KEY\") and not os.getenv(\"GEMINI_API_KEY\"):\n print(\"⚠️ No model credentials found.\")\n print(\" Gemini (default): export GEMINI_API_KEY=...\")\n print(\" OpenAI (via shim): export OPENAI_API_KEY=... ANTIGRAVITY_USE_OPENAI=1\")\n print()\n\n port = int(os.getenv(\"PORT\", \"8027\"))\n print(\"Starting Antigravity demo server...\")\n print(f\" workspace: {WORKSPACE}\")\n for name in AGENTS:\n print(f\" • {name}: http://localhost:{port}/{name}\")\n # Pass the app object rather than an import string: the string form only\n # resolves when the process happens to be started from this directory.\n uvicorn.run(app, host=\"0.0.0.0\", port=port)\n\n\nif __name__ == \"__main__\":\n main()\n\n__all__ = [\"app\", \"main\"]\n", + "language": "python", + "type": "file" + } + ], + "antigravity::backend_tool_rendering": [ + { + "name": "page.tsx", + "content": "\"use client\";\nimport React from \"react\";\nimport \"@copilotkit/react-core/v2/styles.css\";\nimport \"./style.css\";\nimport { \n useRenderTool,\n useConfigureSuggestions,\n CopilotChat,\n} from \"@copilotkit/react-core/v2\";\nimport { z } from \"zod\";\nimport { CopilotKit } from \"@copilotkit/react-core\";\n\ninterface AgenticChatProps {\n params: Promise<{\n integrationId: string;\n }>;\n}\n\nconst AgenticChat: React.FC = ({ params }) => {\n const { integrationId } = React.use(params);\n\n return (\n \n \n \n );\n};\n\nconst Chat = () => {\n useRenderTool({\n \n name: \"get_weather\",\n parameters: z.object({\n location: z.string(),\n }) ,\n render: ({ args, result, status }: any) => {\n if (status !== \"complete\") {\n return (\n
\n ⚙️ Retrieving weather...\n
\n );\n }\n\n // Some integrations (e.g. LangGraph) deliver tool results as a JSON-encoded\n // string in the ToolMessage content rather than a parsed object. Normalize\n // so property access works in either case; otherwise every field falls\n // through to its `|| 0` default and the card shows 0° C.\n let parsed: any = result;\n if (typeof parsed === \"string\") {\n try {\n parsed = JSON.parse(parsed);\n } catch {\n parsed = {};\n }\n }\n parsed = parsed ?? {};\n\n const weatherResult: WeatherToolResult = {\n temperature: parsed.temperature ?? 0,\n conditions: parsed.conditions ?? \"clear\",\n humidity: parsed.humidity ?? 0,\n windSpeed: parsed.wind_speed ?? parsed.windSpeed ?? 0,\n feelsLike:\n parsed.feels_like ?? parsed.feelsLike ?? parsed.temperature ?? 0,\n };\n\n const themeColor = getThemeColor(weatherResult.conditions);\n\n return (\n \n );\n },\n });\n\n useConfigureSuggestions({\n suggestions: [\n {\n title: \"Weather in San Francisco\",\n message: \"What's the weather like in San Francisco?\",\n },\n {\n title: \"Weather in New York\",\n message: \"Tell me about the weather in New York.\",\n },\n {\n title: \"Weather in Tokyo\",\n message: \"How's the weather in Tokyo today?\",\n },\n ],\n available: \"always\",\n });\n\n return (\n
\n
\n \n
\n
\n );\n};\n\ninterface WeatherToolResult {\n temperature: number;\n conditions: string;\n humidity: number;\n windSpeed: number;\n feelsLike: number;\n}\n\nfunction getThemeColor(conditions: string): string {\n const conditionLower = conditions.toLowerCase();\n if (conditionLower.includes(\"clear\") || conditionLower.includes(\"sunny\")) {\n return \"#667eea\";\n }\n if (conditionLower.includes(\"rain\") || conditionLower.includes(\"storm\")) {\n return \"#4A5568\";\n }\n if (conditionLower.includes(\"cloud\")) {\n return \"#718096\";\n }\n if (conditionLower.includes(\"snow\")) {\n return \"#63B3ED\";\n }\n return \"#764ba2\";\n}\n\nfunction WeatherCard({\n location,\n themeColor,\n result,\n status,\n}: {\n location?: string;\n themeColor: string;\n result: WeatherToolResult;\n status: \"inProgress\" | \"executing\" | \"complete\";\n}) {\n return (\n \n
\n
\n
\n

\n {location}\n

\n

Current Weather

\n
\n \n
\n\n
\n
\n {result.temperature}° C\n \n {\" / \"}\n {((result.temperature * 9) / 5 + 32).toFixed(1)}° F\n \n
\n
{result.conditions}
\n
\n\n
\n
\n
\n

Humidity

\n

{result.humidity}%

\n
\n
\n

Wind

\n

{result.windSpeed} mph

\n
\n
\n

Feels Like

\n

{result.feelsLike}°

\n
\n
\n
\n
\n
\n );\n}\n\nfunction WeatherIcon({ conditions }: { conditions: string }) {\n if (!conditions) return null;\n\n if (conditions.toLowerCase().includes(\"clear\") || conditions.toLowerCase().includes(\"sunny\")) {\n return ;\n }\n\n if (\n conditions.toLowerCase().includes(\"rain\") ||\n conditions.toLowerCase().includes(\"drizzle\") ||\n conditions.toLowerCase().includes(\"snow\") ||\n conditions.toLowerCase().includes(\"thunderstorm\")\n ) {\n return ;\n }\n\n if (\n conditions.toLowerCase().includes(\"fog\") ||\n conditions.toLowerCase().includes(\"cloud\") ||\n conditions.toLowerCase().includes(\"overcast\")\n ) {\n return ;\n }\n\n return ;\n}\n\n// Simple sun icon for the weather card\nfunction SunIcon() {\n return (\n \n \n \n \n );\n}\n\nfunction RainIcon() {\n return (\n \n {/* Cloud */}\n \n {/* Rain drops */}\n \n \n );\n}\n\nfunction CloudIcon() {\n return (\n \n \n \n );\n}\n\nexport default AgenticChat;\n", + "language": "typescript", + "type": "file" + }, + { + "name": "style.css", + "content": ".copilotKitInput {\n border-bottom-left-radius: 0.75rem;\n border-bottom-right-radius: 0.75rem;\n border-top-left-radius: 0.75rem;\n border-top-right-radius: 0.75rem;\n border: 1px solid var(--copilot-kit-separator-color) !important;\n}\n\n.copilotKitChat {\n background-color: #fff !important;\n}\n", + "language": "css", + "type": "file" + }, + { + "name": "README.mdx", + "content": "# 🤖 Agentic Chat with Frontend Tools\n\n## What This Demo Shows\n\nThis demo showcases CopilotKit's **agentic chat** capabilities with **frontend\ntool integration**:\n\n1. **Natural Conversation**: Chat with your Copilot in a familiar chat interface\n2. **Frontend Tool Execution**: The Copilot can directly interacts with your UI\n by calling frontend functions\n3. **Seamless Integration**: Tools defined in the frontend and automatically\n discovered and made available to the agent\n\n## How to Interact\n\nTry asking your Copilot to:\n\n- \"Can you change the background color to something more vibrant?\"\n- \"Make the background a blue to purple gradient\"\n- \"Set the background to a sunset-themed gradient\"\n- \"Change it back to a simple light color\"\n\nYou can also chat about other topics - the agent will respond conversationally\nwhile having the ability to use your UI tools when appropriate.\n\n## ✨ Frontend Tool Integration in Action\n\n**What's happening technically:**\n\n- The React component defines a frontend function using `useCopilotAction`\n- CopilotKit automatically exposes this function to the agent\n- When you make a request, the agent determines whether to use the tool\n- The agent calls the function with the appropriate parameters\n- The UI immediately updates in response\n\n**What you'll see in this demo:**\n\n- The Copilot understands requests to change the background\n- It generates CSS values for colors and gradients\n- When it calls the tool, the background changes instantly\n- The agent provides a conversational response about the changes it made\n\nThis technique of exposing frontend functions to your Copilot can be extended to\nany UI manipulation you want to enable, from theme changes to data filtering,\nnavigation, or complex UI state management!\n", + "language": "markdown", + "type": "file" + }, + { + "name": "backend_tool_rendering.py", + "content": "\"\"\"Backend tool rendering: a server-side tool, streamed to the UI as it runs.\n\nThe dojo page for this feature registers a `useRenderTool` for `get_weather`\nand draws a weather card from the tool's result, so the point of the demo is\nthat a tool executed *on the server* is visible on the client -- call, then\narguments, then result.\n\nAntigravity runs a custom Python tool through the SDK's own `ToolRunner`, and\nthe harness reports it as a single `TOOL_CALL`/`ACTIVE` step: there is no DONE\nstep and no result anywhere on `Step`, because the return value goes back over\nthe WebSocket straight to the model. The adapter therefore emits the call and\nits `TOOL_CALL_RESULT` itself (see `UIBridge.build_server_tools`) -- without\nthat the card would spin forever waiting for a result that never arrives.\n\nThe harness' own built-in tools stay enabled, since they are backend tools too,\nand the harness *does* report those at DONE with their output folded into the\ncall arguments.\n\n`tool_approval=True` is deliberately NOT set. It routes every non-auto-approved\ncall through an AG-UI approval *interrupt*, and the dojo answers frontend tools\n(`ToolMessage`) rather than interrupts (`RunAgentInput.resume`) -- so the first\n`create_file` would park on a prompt nothing can answer and the run would hang.\nIt looks fine until you ask for a write, because reads are auto-approved.\n\nEnable it against a client that implements the interrupt protocol; the adapter\nthen also stops needing the `allow_all` fallback for the SDK's write-tool\nsafety guard.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport json\nimport logging\nimport os\n\nimport httpx\nfrom google.antigravity import CapabilitiesConfig\nfrom google.antigravity.types import BuiltinTools\n\nfrom ._common import WORKSPACE, build\n\nlogger = logging.getLogger(__name__)\n\n# WMO weather codes, as returned by open-meteo's `weather_code`.\n_CONDITIONS = {\n 0: \"Clear sky\",\n 1: \"Mainly clear\",\n 2: \"Partly cloudy\",\n 3: \"Overcast\",\n 45: \"Foggy\",\n 48: \"Depositing rime fog\",\n 51: \"Light drizzle\",\n 53: \"Moderate drizzle\",\n 55: \"Dense drizzle\",\n 61: \"Slight rain\",\n 63: \"Moderate rain\",\n 65: \"Heavy rain\",\n 71: \"Slight snow fall\",\n 73: \"Moderate snow fall\",\n 75: \"Heavy snow fall\",\n 77: \"Snow grains\",\n 80: \"Slight rain showers\",\n 81: \"Moderate rain showers\",\n 82: \"Violent rain showers\",\n 85: \"Slight snow showers\",\n 86: \"Heavy snow showers\",\n 95: \"Thunderstorm\",\n 96: \"Thunderstorm with slight hail\",\n 99: \"Thunderstorm with heavy hail\",\n}\n\n\ndef _condition(code: int) -> str:\n return _CONDITIONS.get(code, \"Unknown\")\n\n\ndef _canned(location: str) -> str:\n \"\"\"Deterministic weather, for offline demos and e2e runs.\n\n open-meteo needs no API key but does need the network, and it rate-limits\n shared CI egress. Set ``AG_UI_MOCK_WEATHER=1`` to force this path.\n \"\"\"\n return json.dumps(\n {\n \"temperature\": 21.0,\n \"feelsLike\": 20.0,\n \"humidity\": 65.0,\n \"windSpeed\": 12.0,\n \"windGust\": 18.0,\n \"conditions\": _condition(1),\n \"location\": location,\n }\n )\n\n\nasync def get_weather(location: str) -> str:\n \"\"\"Gets the current weather for a location.\n\n Args:\n location: The city to look up, for example \"Tokyo\".\n \"\"\"\n if os.environ.get(\"AG_UI_MOCK_WEATHER\"):\n return _canned(location)\n try:\n async with httpx.AsyncClient(timeout=10) as client:\n geo = await client.get(\n \"https://geocoding-api.open-meteo.com/v1/search\",\n params={\"name\": location, \"count\": 1},\n )\n geo.raise_for_status()\n matches = geo.json().get(\"results\") or []\n if not matches:\n # Returned, not raised: the model should tell the user the place\n # was not found rather than report a tool crash.\n return json.dumps(\n {\"error\": f\"I could not find a place called {location!r}.\"}\n )\n place = matches[0]\n\n forecast = await client.get(\n \"https://api.open-meteo.com/v1/forecast\",\n params={\n \"latitude\": place[\"latitude\"],\n \"longitude\": place[\"longitude\"],\n \"current\": (\n \"temperature_2m,apparent_temperature,relative_humidity_2m,\"\n \"wind_speed_10m,wind_gusts_10m,weather_code\"\n ),\n },\n )\n forecast.raise_for_status()\n current = forecast.json()[\"current\"]\n except (httpx.HTTPError, KeyError, ValueError) as exc:\n # A demo that renders a broken card teaches nothing; fall back loudly.\n logger.warning(\"open-meteo lookup failed (%s); using canned data\", exc)\n return _canned(location)\n\n return json.dumps(\n {\n \"temperature\": current[\"temperature_2m\"],\n \"feelsLike\": current[\"apparent_temperature\"],\n \"humidity\": current[\"relative_humidity_2m\"],\n \"windSpeed\": current[\"wind_speed_10m\"],\n \"windGust\": current[\"wind_gusts_10m\"],\n \"conditions\": _condition(current[\"weather_code\"]),\n \"location\": place[\"name\"],\n }\n )\n\n\nagent = build(\n system_instructions=(\n \"You are a helpful weather assistant.\\n\"\n \"- Use the get_weather tool for any weather question; never guess.\\n\"\n \"- If the location is not in English, translate it first. For a \"\n 'multi-part place like \"New York, NY\", use the main part.\\n'\n \"- After the tool returns, summarise it in one or two short sentences. \"\n \"The user can already see a weather card, so do not repeat every \"\n \"number.\\n\"\n \"- If no location is given, ask which one.\\n\"\n \"You also have filesystem and shell tools scoped to \"\n f\"{WORKSPACE}; use those only when the user asks about files.\"\n ),\n tools=[get_weather],\n # search_web returns an empty summary without Google credentials, which\n # sends the model into a retry loop; the filesystem tools work, so expose\n # only those.\n capabilities=CapabilitiesConfig(\n enabled_tools=[\n BuiltinTools.LIST_DIR,\n BuiltinTools.VIEW_FILE,\n BuiltinTools.FIND_FILE,\n BuiltinTools.SEARCH_DIR,\n BuiltinTools.CREATE_FILE,\n BuiltinTools.EDIT_FILE,\n BuiltinTools.RUN_COMMAND,\n BuiltinTools.FINISH,\n ],\n enable_subagents=False,\n ),\n)\n", + "language": "python", + "type": "file" + }, + { + "name": "_common.py", + "content": "\"\"\"Shared model/workspace wiring for the Antigravity demo agents.\n\nAntigravity gives every session a real subprocess with filesystem and shell\naccess, so the demos confine it to a scratch workspace rather than the server's\nworking directory.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport os\nimport tempfile\n\nfrom google.antigravity import CapabilitiesConfig\nfrom google.antigravity.types import BuiltinTools\n\nWORKSPACE = os.environ.get(\n \"ANTIGRAVITY_WORKSPACE\", os.path.join(tempfile.gettempdir(), \"ag-ui-antigravity\")\n)\n# exist_ok only tolerates an existing *directory*; a leftover file at this path\n# would otherwise abort the import with a bare FileExistsError.\nif os.path.exists(WORKSPACE) and not os.path.isdir(WORKSPACE):\n raise RuntimeError(\n f\"ANTIGRAVITY_WORKSPACE points at {WORKSPACE!r}, which exists but is not a \"\n \"directory. Remove it or set ANTIGRAVITY_WORKSPACE to a free path.\"\n )\nos.makedirs(WORKSPACE, exist_ok=True)\n\n# Seed the sandbox so the backend-tool demo has something real to inspect.\n_SEED = {\n \"README.md\": (\n \"# Antigravity demo workspace\\n\\n\"\n \"The agent has real filesystem and shell access, scoped to this\\n\"\n 'directory. Try: \"list the files here\", \"read notes.txt\", or\\n'\n '\"create a file called hello.txt\".\\n'\n ),\n \"notes.txt\": \"Project codename: Octarine\\nStatus: shipping\\n\",\n}\nfor _name, _body in _SEED.items():\n _path = os.path.join(WORKSPACE, _name)\n if not os.path.exists(_path):\n with open(_path, \"w\") as _handle:\n _handle.write(_body)\n\n# The SDK's OpenAI-compatible path targets unauthenticated local servers. To\n# demo against hosted OpenAI, set ANTIGRAVITY_USE_OPENAI=1 and the example shim\n# injects the Authorization header (see ../openai_proxy.py).\nUSE_OPENAI = os.environ.get(\"ANTIGRAVITY_USE_OPENAI\") == \"1\"\n\nif USE_OPENAI:\n from ..openai_proxy import start_background\n\n BASE_URL = start_background(port=int(os.environ.get(\"ANTIGRAVITY_SHIM_PORT\", 8931)))\n MODEL = os.environ.get(\"ANTIGRAVITY_MODEL\", \"gpt-4.1-mini\")\nelse:\n BASE_URL = None\n MODEL = os.environ.get(\"ANTIGRAVITY_MODEL\") # None -> the SDK default\n\n\ndef chat_only_capabilities() -> CapabilitiesConfig:\n \"\"\"Enables no built-in tool except `finish`.\n\n `enabled_tools` is an allowlist, so this strips the harness' *entire*\n built-in toolset -- filesystem, shell, subagents, image generation,\n `search_web` and `ask_question` -- leaving the demos to use only the tools\n the client supplies. Two reasons:\n\n * `search_web` returns an empty summary unless the harness has Google\n credentials, and the model then retries it until the turn never settles.\n * `ask_question` would park on an AG-UI interrupt, and the dojo answers\n frontend tools (via `ToolMessage`) rather than interrupts (via\n `RunAgentInput.resume`), so nothing would ever resolve it. The same\n constraint is why no demo here sets `tool_approval=True`.\n\n `finish` must stay: the harness uses it to end a turn.\n \"\"\"\n return CapabilitiesConfig(\n enabled_tools=[BuiltinTools.FINISH], enable_subagents=False\n )\n\n\n# Each AntigravityAgent owns a HarnessPool by default, so a server hosting\n# several demo agents would get one harness process per *agent* rather than one\n# for the server. Nothing about an agent's config prevents sharing: tools,\n# instructions, model and workspaces all ride in HarnessConfig, per\n# conversation. Only save_dir and env are fixed at process start, so pinning\n# both here puts every demo in one pool partition -- and one process.\n_SHARED_SAVE_DIR = os.path.join(WORKSPACE, \".sessions\")\nos.makedirs(_SHARED_SAVE_DIR, exist_ok=True)\n_SHARED_POOL = None\n\n\ndef shared_pool():\n \"\"\"The one pool every demo agent draws from.\"\"\"\n global _SHARED_POOL\n if _SHARED_POOL is None:\n from ag_ui_antigravity.harness_pool import HarnessPool\n\n _SHARED_POOL = HarnessPool()\n return _SHARED_POOL\n\n\ndef build(**kwargs):\n \"\"\"Creates an AntigravityAgent with the demo's shared model/workspace.\"\"\"\n from ag_ui_antigravity import AntigravityAgent\n\n defaults = dict(\n model=MODEL,\n base_url=BASE_URL,\n workspaces=[WORKSPACE],\n harness_pool=shared_pool(),\n save_dir=_SHARED_SAVE_DIR,\n )\n defaults.update(kwargs)\n return AntigravityAgent(**defaults)\n", + "language": "python", + "type": "file" + }, + { + "name": "__init__.py", + "content": "\"\"\"Demo server exposing one Antigravity agent per dojo feature.\n\nAgainst Gemini (the SDK's native path):\n\n export GEMINI_API_KEY=...\n uv run dev\n\nAgainst hosted OpenAI (uses the auth-injecting shim in this package):\n\n export OPENAI_API_KEY=...\n export ANTIGRAVITY_USE_OPENAI=1\n uv run dev\n\"\"\"\n\nfrom __future__ import annotations\n\nimport os\n\nimport uvicorn\nfrom ag_ui_antigravity import create_antigravity_app\n\nfrom .api import (\n agentic_chat,\n backend_tool_rendering,\n human_in_the_loop,\n tool_based_generative_ui,\n)\nfrom .api._common import WORKSPACE\n\n# Keys must match the dojo feature ids in apps/dojo/src/menu.ts.\nAGENTS = {\n \"agentic_chat\": agentic_chat.agent,\n \"human_in_the_loop\": human_in_the_loop.agent,\n \"tool_based_generative_ui\": tool_based_generative_ui.agent,\n \"backend_tool_rendering\": backend_tool_rendering.agent,\n}\n\napp = create_antigravity_app(AGENTS)\n\n\ndef main() -> None:\n \"\"\"Starts the demo server.\"\"\"\n if not os.getenv(\"OPENAI_API_KEY\") and not os.getenv(\"GEMINI_API_KEY\"):\n print(\"⚠️ No model credentials found.\")\n print(\" Gemini (default): export GEMINI_API_KEY=...\")\n print(\" OpenAI (via shim): export OPENAI_API_KEY=... ANTIGRAVITY_USE_OPENAI=1\")\n print()\n\n port = int(os.getenv(\"PORT\", \"8027\"))\n print(\"Starting Antigravity demo server...\")\n print(f\" workspace: {WORKSPACE}\")\n for name in AGENTS:\n print(f\" • {name}: http://localhost:{port}/{name}\")\n # Pass the app object rather than an import string: the string form only\n # resolves when the process happens to be started from this directory.\n uvicorn.run(app, host=\"0.0.0.0\", port=port)\n\n\nif __name__ == \"__main__\":\n main()\n\n__all__ = [\"app\", \"main\"]\n", + "language": "python", + "type": "file" + } + ], "microsoft-agent-framework-dotnet::agentic_chat": [ { "name": "page.tsx", diff --git a/apps/dojo/src/menu.ts b/apps/dojo/src/menu.ts index 9303fd018d..678e3a2f55 100644 --- a/apps/dojo/src/menu.ts +++ b/apps/dojo/src/menu.ts @@ -184,6 +184,16 @@ export const menuIntegrations = [ "a2ui_recovery", ], }, + { + id: "antigravity", + name: "Google Antigravity", + features: [ + "agentic_chat", + "human_in_the_loop", + "tool_based_generative_ui", + "backend_tool_rendering", + ], + }, { id: "microsoft-agent-framework-dotnet", name: "Microsoft Agent Framework (.NET)", diff --git a/integrations/antigravity/python/LICENSE b/integrations/antigravity/python/LICENSE new file mode 100644 index 0000000000..b77bf2ab72 --- /dev/null +++ b/integrations/antigravity/python/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2025 + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/integrations/antigravity/python/README.md b/integrations/antigravity/python/README.md new file mode 100644 index 0000000000..7a51003585 --- /dev/null +++ b/integrations/antigravity/python/README.md @@ -0,0 +1,408 @@ +# AG-UI ⚡ Google Antigravity + +Implementation of the [AG-UI protocol](https://github.com/ag-ui-protocol/ag-ui) +for [Google Antigravity](https://github.com/google-antigravity/antigravity-sdk-python). + +Antigravity is not a Python agent loop. The SDK drives a bundled Go +`localharness` subprocess over a WebSocket, and that subprocess does real file +and shell work on the host. So this is an **ADK-class integration** — stateful +and session-based — not a stateless LangGraph-class one. The stream translation +is small; the session lifecycle is the substance. + +Sessions share those subprocesses rather than owning one each — see +[Harness pooling](#harness-pooling). + +## Why the HITL story is unusually clean + +Antigravity's hooks and custom tools are **async, awaited, and carry no +timeout**. When the model needs a human, the Go harness calls into Python and +blocks on the returned coroutine. That awaited coroutine is a *native suspension +primitive*: the integration emits AG-UI events, parks an `asyncio.Future`, lets +the SSE response for run *N* close, and resolves the future from run *N+1*. The +model's tool result is the tool's actual return value — no proxy tool, no +fire-and-forget long-running-tool workaround. + +This depends on the Go side not abandoning a pending hook while the stream is +closed, which the SDK source could not answer. It was verified empirically +(`tests/test_parking_gate.py`, and the live gate described below): the harness +survived **45 s and 180 s** parks with the consumer detached and resumed +correctly in both cases. + +## Install + +```bash +pip install ag-ui-antigravity +``` + +`google-antigravity` ships platform-specific wheels (~32 MB) that bundle the +`localharness` binary; no separate download step is needed. + +## Usage + +```python +from ag_ui_antigravity import AntigravityAgent, create_antigravity_app + +agent = AntigravityAgent( + model="gemini-3.6-flash", + api_key="...", # or GEMINI_API_KEY in the environment + system_instructions="You are a helpful assistant.", + workspaces=["/path/to/a/sandbox"], +) + +app = create_antigravity_app(agent, path="/") +``` + +Serve several demo agents from one process by passing a mapping: + +```python +app = create_antigravity_app({ + "agentic_chat": chat_agent, + "human_in_the_loop": hitl_agent, +}) +``` + +### OpenAI-compatible endpoints + +```python +agent = AntigravityAgent(model="gpt-4.1-mini", base_url="http://localhost:11434") +``` + +Pass the **root** URL, not `.../v1` — the harness appends +`/v1/chat/completions` itself. (The SDK's own docstring example is misleading +on this point.) + +## Event mapping + +| Antigravity `Step` / signal | AG-UI event(s) | +|---|---| +| `run()` entry | `RUN_STARTED` | +| first `content_delta` on a step | `TEXT_MESSAGE_START` | +| subsequent `content_delta` | `TEXT_MESSAGE_CONTENT` (the delta, not `content`) | +| same step reaches `DONE` | `TEXT_MESSAGE_END` | +| `thinking_delta` | `THINKING_TEXT_MESSAGE_*` | +| `TOOL_CALL` (built-in / MCP) | `TOOL_CALL_START` / `ARGS` / `END` / `RESULT` | +| `start_subagent` | `STEP_STARTED` / `STEP_FINISHED` around the delegated work | +| `FINISH.structured_output` | `STATE_SNAPSHOT` (or `CUSTOM`) | +| iterator exhaustion | `RUN_FINISHED` | +| raised `Antigravity*Error` | `RUN_ERROR` (except a mid-stream cancel, which ends `RUN_FINISHED`) | +| parked hook (question / approval) | `RUN_FINISHED` with an interrupt outcome | +| parked frontend tool | `RUN_FINISHED`, no outcome — the client replies with a `ToolMessage` | +| step with `status=ERROR` | `RUN_ERROR` | + +Two details that only show up against a live harness: + +* Steps whose `source` is `USER` are the harness echoing the prompt back. They + are never translated — doing so would replay the user's own message as + assistant output. +* **Failures usually arrive as a step, not an exception.** `receive_steps()` + raises only for `source=SYSTEM` errors carrying HTTP 400/401/403. Rate limits, + 5xx and model-side failures are *yielded* with `status=ERROR`, so a loop that + only catches exceptions reports them to the client as an empty success. The + run loop inspects `status` for exactly this reason. +* **Built-in tool results have no fixed key.** The harness reports a tool's + outcome by *growing* the `args` dict at DONE, under a tool-specific name + (`list_directory` adds `results`). Some tools — `view_file` — add nothing at + all, because their output goes to the model out of band. The translator + therefore takes whatever keys appeared after the call was first seen. A + failure is reported in words (`TOOL_CALL_RESULT` has no error channel), and + so is "completed with no output" — an empty string would make the two + indistinguishable and render a failed call as a successful one. +* **`TOOL_CALL_ARGS` deltas are concatenated by the client** + (`function.arguments += delta`), so everything sent for one call must join + into a single JSON document. Antigravity hands over the whole args dict each + time rather than streaming fragments, and *grows* it with the result at DONE + — and a grown JSON object is not a string extension of the smaller one. The + args are therefore sent once; the result travels on `TOOL_CALL_RESULT`. + +## Human-in-the-loop + +Three cases, one primitive (emit → park a Future → resolve from the next run): + +* **Frontend tools** — every `RunAgentInput.tools` entry becomes a custom async + Antigravity tool built from its JSON Schema. The client answers with a + `ToolMessage` carrying the `tool_call_id`. +* **Model questions** — `OnInteractionHook` maps `AskQuestionInteractionSpec` + onto a `RunFinishedInterruptOutcome`; the client answers via + `RunAgentInput.resume`. +* **Tool approval** (`tool_approval=True`) — `PreToolCallDecideHook` round-trips + an approval interrupt. Registering it also satisfies the SDK's mandatory + safety guard, so write and MCP tools stop raising without a separate policy. + It needs a client that implements the interrupt protocol — the dojo answers + `ToolMessage`s, not `resume` entries, so the demos leave it off. + +### One turn, several runs + +An Antigravity *turn* that parks on a human spans several AG-UI *runs*, and on +each later run the harness re-delivers the steps of that turn it has already +sent. Three pieces of state are therefore scoped to the turn, not the run, and +are retired together by `AntigravitySession.reset_stream()`: + +* the `receive_steps()` iterator (and any in-flight `__anext__()`, which is + parked rather than cancelled — cancelling discards the step being delivered), +* the `EventTranslator`, which records which steps and tool calls it has + already finished, +* the bridge's per-turn frontend-tool results. + +Without this, every run re-translates the same tool call, the client re-executes +it, and the conversation never converges. + +### Repeated tool calls + +The harness escalates a slow custom tool to a **background task** and lets the +model continue without waiting for it. The model then commonly re-issues the +call — sometimes with slightly different arguments — which would make the client +run a side-effecting action a second time. + +So a frontend tool is dispatched to the client **at most once per turn**. An +identical repeat gets the cached result; a repeat with different arguments gets +a plain statement of what already ran, so the model reports the result instead +of retrying. Set `deduplicate_tool_calls=False` if a tool is genuinely meant to +run repeatedly within one turn. + +### Server-side tools + +Pass your own Python callables as `tools=[...]` and they run in this process, +with the call and its result streamed to the client — that is what the dojo's +`backend_tool_rendering` demo draws its weather card from. + +The adapter emits those events itself rather than reading them off the step +stream, because the harness reports a custom tool as a **single** +`TOOL_CALL`/`ACTIVE` step: there is no DONE step, and `Step` carries no result +field at all, since the return value goes back over the WebSocket straight to +the model. A client waiting for a `TOOL_CALL_RESULT` from the step stream would +wait forever. Built-in tools are different — the harness re-reports those at +DONE with their output folded into the call arguments. + +The wrapper preserves each function's signature and docstring, so the SDK still +derives the same tool schema. Return a JSON-serializable value (or a string); +a raised exception is reported to the client as +`There was an error executing : ...` and re-raised. + +### Built-in tools worth disabling + +The harness exposes its whole built-in toolset by default. `search_web` returns +an *empty* summary unless the harness has Google credentials — the model then +retries it indefinitely and the conversation never settles. Pass a +`CapabilitiesConfig(enabled_tools=[...])` naming only what the agent needs; +`BuiltinTools.FINISH` must stay, since the harness uses it to end a turn. The +chat demos in `examples/` enable nothing else. + +## Sessions + +`SessionManager` keys a live `Conversation` by `thread_id`. + +* **Hot resume** — a session with a parked coroutine stays in memory, because a + suspended coroutine cannot be serialized. It gets a longer grace period than + an idle session rather than an exemption: `parked_timeout_seconds` (2 h) + instead of `session_timeout_seconds` (30 min). A run in flight holds the + session lock and is never reclaimed. + + A session occupies memory for its whole life, not only while parked — from + the first message on a `thread_id` until it times out, is evicted at + `max_sessions`, or is rebuilt because the client's tool set changed. Parking + does not allocate anything; it extends how long the allocation is held. +* **Cold resume** — a recycled session with nothing parked is rebuilt from + `conversation_id` + `session_continuation_mode` + `save_dir`. + +Because Antigravity fixes the tool list in the harness config at connect time, +a client that changes its `tools` between runs forces a cold-resume rebuild +rather than running against a stale list. + +## Harness pooling + +Sessions do **not** get a subprocess each. A `HarnessPool` shares one +`localharness` process between up to `max_conversations_per_process` (default 8) +conversations, because Antigravity configures a harness twice: + +| sent | when | contains | +|---|---|---| +| `InputConfig` | process stdin at startup | `save_dir`, `env` | +| `HarnessConfig` | WebSocket, **per conversation** | tools, model, system instructions, capabilities, MCP servers, hooks, subagents, `response_schema`, `conversation_id`, **`workspaces`** | + +Almost everything varying per thread — including `workspaces`, so per-thread +filesystem isolation is unaffected — is per-conversation. Only `save_dir` and +`env` are process-wide, and they form the pool's partition key. + +Measured with 8 concurrent conversations (`gpt-4.1-mini`, one turn each): + +| | pooled (1 process) | one process each | +|---|---|---| +| idle | **101 MB** | 752 MB | +| mid-turn | **154 MB** | 1040 MB | +| wall clock | 12.7 s | 12.3 s | + +So an extra idle conversation costs ~1 MB rather than ~95 MB. Throughput is +unchanged; per-turn p50 rises ~1.3× only when all 8 turn simultaneously. A +20-second tool call in one conversation was measured **not** to delay its +neighbours (median inflation 0.95× against a control). + +Set `max_conversations_per_process=1` to go back to one process per thread. + +### Several agents in one server + +Each `AntigravityAgent` owns a pool, so a server hosting four agents gets four +harness processes — a ~95 MB floor per agent, independent of traffic. It does +not affect scaling (threads of one agent still share), and it affects nothing +about correctness, but it is silent: you find out by counting processes. + +Sharing needs **both** a pool and a `save_dir`. Passing only `harness_pool=` +changes nothing, because each agent otherwise mints its own `tempfile.mkdtemp()` +save directory and `save_dir` is half the pool's partition key: + +```python +from ag_ui_antigravity.harness_pool import HarnessPool + +pool = HarnessPool() +save_dir = "/var/lib/myapp/antigravity" # both, or you still get a process each + +chat = AntigravityAgent(model=..., harness_pool=pool, save_dir=save_dir) +research = AntigravityAgent(model=..., harness_pool=pool, save_dir=save_dir) +``` + +Agents that must not share process-level storage should keep separate +`save_dir` values — they will land on separate processes by design. See +`examples/server/api/_common.py`. + +* **Blast radius.** One dead process fails every conversation on it. They raise + promptly rather than hanging (`test_process_death_raises_rather_than_hangs`), + but this is the tradeoff pooling buys — hence the modest default. +* **Parked sessions.** Parking and pooling compose: a conversation parked on a + human does not block its co-tenants + (`test_a_parked_conversation_does_not_block_its_siblings`). But a parked + session pins its process, and the pool cannot know in advance which + conversations will park, so under park-heavy load the saving is bounded by + fragmentation rather than by the ~1 MB marginal figure. +* **Not a tenancy boundary.** `save_dir` is shared by every conversation on a + process. Use `workspaces` for isolation, and give tenants separate `save_dir` + values (which partitions them onto separate processes) if storage must be + isolated too. + +## Operational notes + +* **Sandboxing.** Real filesystem and shell access, scoped per conversation by + `workspaces`. Multi-tenant hosting needs per-thread workspace isolation, + resource caps, and reliable cleanup. Always set `workspaces=[...]`. +* **SDK churn.** `google-antigravity` is young; the dependency is pinned to + `<0.2.0` deliberately. + +### Keep workspace paths short + +A long workspace path makes runs fail intermittently, and the failure looks +nothing like its cause. + +If a prompt leads the model to write an absolute path into a tool call — "read +`/var/folders/0t/pq2_7rn97834lcsvc_qy4t8r0000gn/T/ag-ui-antigravity-wz_4xjbd/notes.txt`" +— it sometimes reproduces that path wrongly, truncating it or repeating a chunk +of it. macOS temp directories are ~75 characters of high-entropy text, which is +about the worst case. Measured on `gpt-4.1-mini`: **0/14 runs failed with a +9-character workspace path, 2/14 with a 75-character one.** + +The harness treats the resulting bad path as a fatal +`AntigravityExecutionError` rather than returning the error for the model to +retry, so the whole run dies mid-tool-call with +`RUN_ERROR: The model produced an invalid tool call`. Nothing in that message +points at path length. + +Set `ANTIGRAVITY_WORKSPACE` (or `workspaces=[...]`) to something short and +stable — `/srv/agents/w1`, not a generated temp directory. This is a model +limitation rather than an integration bug: it reproduces identically on older +commits. + +### Known gaps in `google-antigravity` 0.1.8–0.1.9 (OpenAI-compatible path) + +These are upstream, not integration bugs. They affect only `base_url` usage: + +1. **No API-key field.** `GemmaEndpoint` carries only `base_url`, and the Go + harness reads no `OPENAI_API_KEY`. The path targets unauthenticated local + servers (Ollama, LM Studio). Authenticated endpoints need a proxy that + injects the header — see `examples/server/openai_proxy.py`. +2. **Gemini-shaped tool schemas.** Custom-tool schemas are generated with + `api_option="GEMINI_API"`, emitting proto-style uppercase types (`"STRING"`) + that OpenAI rejects. The example proxy normalizes them. Tools registered via + `ToolWithSchema` — which is how this integration builds *frontend* tools — + pass their schema through untouched and are unaffected. +3. **`session_continuation_mode` dropped.** `LocalOpenAIAgentConfig.create_strategy` + does not forward it, disabling cold resume. Worked around by + `_ResumableOpenAIConfig` in `agent.py`. + +### Tool calls do not stream their arguments + +Not specific to the OpenAI path, and not workable around: the harness hands over +a tool call **fully formed, in a single step**. Measured with a custom tool +whose argument was 1850 characters — still one `TOOL_CALL` step carrying the +complete arguments. Presumably the Go side parses the model's tool-call JSON +before dispatching, since it needs valid JSON to invoke anything, and surfaces +the parsed call rather than the token stream. + +So `TOOL_CALL_ARGS` arrives as one delta rather than filling in progressively. +There are no fragments to forward; this would need the harness to expose partial +tool-call deltas. What *does* stream is the call lifecycle: the call is emitted +as soon as the harness dispatches it, so a client renders its pending state +while the tool runs and swaps in the result when it returns. + +## Not implemented yet + +Deliberate gaps, so the surface above is not mistaken for more than it is: + +* **Triggers** (async inbound messages) and **multimodal input** — the SDK + supports both; nothing here maps them to AG-UI yet. +* **`STATE_DELTA`** — structured output is emitted as whole snapshots only. +* **MCP servers** — passed through to the SDK config and covered by the + approval hook, but not exercised by a live test. +* **`predictive_state_updates` / `shared_state`** dojo features — the state + plumbing exists (`STATE_SNAPSHOT` from `structured_output`) but no demo agent + is wired for them, so they are not listed in the dojo menu. +* Subagent bracketing is unit-tested against recorded step shapes, not against + a live multi-agent run. + +## Development + +```bash +uv sync +uv run pytest # 239 unit tests; live tests are deselected by default +``` + +The live checks start a real harness subprocess and call a real model: + +```bash +export OPENAI_API_KEY=... +uv run pytest tests/ -m live +``` + +`tests/test_parking_gate.py` is the important one — it re-verifies the Go-side +no-timeout property the whole HITL design depends on. Raise the park duration +to reproduce the long soak: + +```bash +PARK_SECONDS=180 uv run pytest tests/test_parking_gate.py -m live +``` + +### Dojo + +```bash +# terminal 1 +cd examples +ANTIGRAVITY_USE_OPENAI=1 OPENAI_API_KEY=... uv run dev # serves on :8027 + +# terminal 2 +cd apps/dojo && pnpm dev +``` + +`pnpm run-dojo-everything` starts it alongside the other integrations. + +Then open `/antigravity/feature/agentic_chat`. + +## Verification status + +Verified against `google-antigravity` 0.1.8 and `gpt-4.1-mini` via the example +shim: + +| Check | Result | +|---|---| +| 239 unit tests (translator, bridge, sessions, endpoint) | pass | +| 6 live tests (streaming, multi-turn, frontend-tool park/resume, built-in tools, SSE, parking gate) | pass | +| 15 TypeScript tests + typecheck + build | pass | +| Harness parked with the stream closed, then resumed (manual soak at 45 s and 180 s; the committed default is 30 s) | pass | +| Dojo `agentic_chat`, `human_in_the_loop`, `tool_based_generative_ui`, `backend_tool_rendering` | pass, in-browser | +| Multi-tool turn (`"weather in Tokyo? then set the background…"`) converges in 2 runs, 8/8 trials | pass | +| `/capabilities` payload against `AgentCapabilitiesSchema` (zod) | valid | diff --git a/integrations/antigravity/python/examples/README.md b/integrations/antigravity/python/examples/README.md new file mode 100644 index 0000000000..d0604bf691 --- /dev/null +++ b/integrations/antigravity/python/examples/README.md @@ -0,0 +1,63 @@ +# Google Antigravity Examples + +A FastAPI server exposing one Antigravity agent per dojo feature, used by +[`apps/dojo`](../../../../apps/dojo). The integration itself lives in +[`../`](../). + +## Setup + +Install dependencies: + +```bash +uv sync +``` + +Then run against **Gemini** (the SDK's native path): + +```bash +export GEMINI_API_KEY=... +uv run dev +``` + +…or against **hosted OpenAI**, via the auth-injecting shim in this package: + +```bash +export OPENAI_API_KEY=... +export ANTIGRAVITY_USE_OPENAI=1 +uv run dev +``` + +The SDK's OpenAI-compatible path targets unauthenticated local servers and has +no API-key field, so `openai_proxy.py` injects the `Authorization` header and +normalizes the Gemini-shaped tool schemas OpenAI rejects. Point `base_url` at +Ollama or LM Studio and you need neither. + +The server listens on `PORT` (default **8027**), which is what the dojo expects +as `ANTIGRAVITY_URL`. + +## Endpoints + +| Endpoint | Demonstrates | +|---|---| +| `/agentic_chat` | Streaming chat plus frontend tools the client executes | +| `/human_in_the_loop` | An AG-UI interrupt answered on a later run | +| `/tool_based_generative_ui` | A tool call rendered as UI (haiku generator) | +| `/backend_tool_rendering` | A server-side `get_weather` tool, streamed to the client | +| `/{agent}/info` | Advertised capabilities for one agent | +| `/docs` | FastAPI's generated API docs | + +## Notes + +- **The agent runs real code.** Antigravity drives a Go subprocess with genuine + filesystem and shell access, so every demo is scoped to a scratch workspace + (`ANTIGRAVITY_WORKSPACE`, default `$TMPDIR/ag-ui-antigravity`) rather than the + server's working directory. +- **One harness process, not one per demo.** All four agents share a + `HarnessPool` and a `save_dir` — see `api/_common.py`, and + [Harness pooling](../README.md#harness-pooling) for why both are needed. +- **`get_weather` calls open-meteo**, which needs no API key but does need the + network. Set `AG_UI_MOCK_WEATHER=1` for deterministic offline data; a failed + lookup falls back to it automatically. +- **Chat-only demos disable the built-in toolset.** `search_web` returns an + empty summary without Google credentials and the model then retries it + forever, so the demos allowlist only what they need. diff --git a/integrations/antigravity/python/examples/pyproject.toml b/integrations/antigravity/python/examples/pyproject.toml new file mode 100644 index 0000000000..bc40daa8e8 --- /dev/null +++ b/integrations/antigravity/python/examples/pyproject.toml @@ -0,0 +1,31 @@ +tool.uv.package = true + +[project] +name = "antigravity-examples" +version = "0.1.0" +description = "Example usage of the Antigravity integration with FastAPI" +license = "MIT" + +readme = "README.md" +requires-python = ">=3.10, <3.15" +dependencies = [ + "fastapi>=0.115.2", + "httpx>=0.27.0", + "uvicorn[standard]>=0.35.0", + "python-dotenv>=1.0.0", + "pydantic>=2.11.7", + "ag_ui_antigravity", +] + +[project.scripts] +dev = "server:main" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["server"] + +[tool.uv.sources] +ag_ui_antigravity = { path = "../", editable = true } diff --git a/integrations/antigravity/python/examples/server/__init__.py b/integrations/antigravity/python/examples/server/__init__.py new file mode 100644 index 0000000000..e310b0af28 --- /dev/null +++ b/integrations/antigravity/python/examples/server/__init__.py @@ -0,0 +1,62 @@ +"""Demo server exposing one Antigravity agent per dojo feature. + +Against Gemini (the SDK's native path): + + export GEMINI_API_KEY=... + uv run dev + +Against hosted OpenAI (uses the auth-injecting shim in this package): + + export OPENAI_API_KEY=... + export ANTIGRAVITY_USE_OPENAI=1 + uv run dev +""" + +from __future__ import annotations + +import os + +import uvicorn +from ag_ui_antigravity import create_antigravity_app + +from .api import ( + agentic_chat, + backend_tool_rendering, + human_in_the_loop, + tool_based_generative_ui, +) +from .api._common import WORKSPACE + +# Keys must match the dojo feature ids in apps/dojo/src/menu.ts. +AGENTS = { + "agentic_chat": agentic_chat.agent, + "human_in_the_loop": human_in_the_loop.agent, + "tool_based_generative_ui": tool_based_generative_ui.agent, + "backend_tool_rendering": backend_tool_rendering.agent, +} + +app = create_antigravity_app(AGENTS) + + +def main() -> None: + """Starts the demo server.""" + if not os.getenv("OPENAI_API_KEY") and not os.getenv("GEMINI_API_KEY"): + print("⚠️ No model credentials found.") + print(" Gemini (default): export GEMINI_API_KEY=...") + print(" OpenAI (via shim): export OPENAI_API_KEY=... ANTIGRAVITY_USE_OPENAI=1") + print() + + port = int(os.getenv("PORT", "8027")) + print("Starting Antigravity demo server...") + print(f" workspace: {WORKSPACE}") + for name in AGENTS: + print(f" • {name}: http://localhost:{port}/{name}") + # Pass the app object rather than an import string: the string form only + # resolves when the process happens to be started from this directory. + uvicorn.run(app, host="0.0.0.0", port=port) + + +if __name__ == "__main__": + main() + +__all__ = ["app", "main"] diff --git a/integrations/antigravity/python/examples/server/api/__init__.py b/integrations/antigravity/python/examples/server/api/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/integrations/antigravity/python/examples/server/api/_common.py b/integrations/antigravity/python/examples/server/api/_common.py new file mode 100644 index 0000000000..b783f0d19c --- /dev/null +++ b/integrations/antigravity/python/examples/server/api/_common.py @@ -0,0 +1,114 @@ +"""Shared model/workspace wiring for the Antigravity demo agents. + +Antigravity gives every session a real subprocess with filesystem and shell +access, so the demos confine it to a scratch workspace rather than the server's +working directory. +""" + +from __future__ import annotations + +import os +import tempfile + +from google.antigravity import CapabilitiesConfig +from google.antigravity.types import BuiltinTools + +WORKSPACE = os.environ.get( + "ANTIGRAVITY_WORKSPACE", os.path.join(tempfile.gettempdir(), "ag-ui-antigravity") +) +# exist_ok only tolerates an existing *directory*; a leftover file at this path +# would otherwise abort the import with a bare FileExistsError. +if os.path.exists(WORKSPACE) and not os.path.isdir(WORKSPACE): + raise RuntimeError( + f"ANTIGRAVITY_WORKSPACE points at {WORKSPACE!r}, which exists but is not a " + "directory. Remove it or set ANTIGRAVITY_WORKSPACE to a free path." + ) +os.makedirs(WORKSPACE, exist_ok=True) + +# Seed the sandbox so the backend-tool demo has something real to inspect. +_SEED = { + "README.md": ( + "# Antigravity demo workspace\n\n" + "The agent has real filesystem and shell access, scoped to this\n" + 'directory. Try: "list the files here", "read notes.txt", or\n' + '"create a file called hello.txt".\n' + ), + "notes.txt": "Project codename: Octarine\nStatus: shipping\n", +} +for _name, _body in _SEED.items(): + _path = os.path.join(WORKSPACE, _name) + if not os.path.exists(_path): + with open(_path, "w") as _handle: + _handle.write(_body) + +# The SDK's OpenAI-compatible path targets unauthenticated local servers. To +# demo against hosted OpenAI, set ANTIGRAVITY_USE_OPENAI=1 and the example shim +# injects the Authorization header (see ../openai_proxy.py). +USE_OPENAI = os.environ.get("ANTIGRAVITY_USE_OPENAI") == "1" + +if USE_OPENAI: + from ..openai_proxy import start_background + + BASE_URL = start_background(port=int(os.environ.get("ANTIGRAVITY_SHIM_PORT", 8931))) + MODEL = os.environ.get("ANTIGRAVITY_MODEL", "gpt-4.1-mini") +else: + BASE_URL = None + MODEL = os.environ.get("ANTIGRAVITY_MODEL") # None -> the SDK default + + +def chat_only_capabilities() -> CapabilitiesConfig: + """Enables no built-in tool except `finish`. + + `enabled_tools` is an allowlist, so this strips the harness' *entire* + built-in toolset -- filesystem, shell, subagents, image generation, + `search_web` and `ask_question` -- leaving the demos to use only the tools + the client supplies. Two reasons: + + * `search_web` returns an empty summary unless the harness has Google + credentials, and the model then retries it until the turn never settles. + * `ask_question` would park on an AG-UI interrupt, and the dojo answers + frontend tools (via `ToolMessage`) rather than interrupts (via + `RunAgentInput.resume`), so nothing would ever resolve it. The same + constraint is why no demo here sets `tool_approval=True`. + + `finish` must stay: the harness uses it to end a turn. + """ + return CapabilitiesConfig( + enabled_tools=[BuiltinTools.FINISH], enable_subagents=False + ) + + +# Each AntigravityAgent owns a HarnessPool by default, so a server hosting +# several demo agents would get one harness process per *agent* rather than one +# for the server. Nothing about an agent's config prevents sharing: tools, +# instructions, model and workspaces all ride in HarnessConfig, per +# conversation. Only save_dir and env are fixed at process start, so pinning +# both here puts every demo in one pool partition -- and one process. +_SHARED_SAVE_DIR = os.path.join(WORKSPACE, ".sessions") +os.makedirs(_SHARED_SAVE_DIR, exist_ok=True) +_SHARED_POOL = None + + +def shared_pool(): + """The one pool every demo agent draws from.""" + global _SHARED_POOL + if _SHARED_POOL is None: + from ag_ui_antigravity.harness_pool import HarnessPool + + _SHARED_POOL = HarnessPool() + return _SHARED_POOL + + +def build(**kwargs): + """Creates an AntigravityAgent with the demo's shared model/workspace.""" + from ag_ui_antigravity import AntigravityAgent + + defaults = dict( + model=MODEL, + base_url=BASE_URL, + workspaces=[WORKSPACE], + harness_pool=shared_pool(), + save_dir=_SHARED_SAVE_DIR, + ) + defaults.update(kwargs) + return AntigravityAgent(**defaults) diff --git a/integrations/antigravity/python/examples/server/api/agentic_chat.py b/integrations/antigravity/python/examples/server/api/agentic_chat.py new file mode 100644 index 0000000000..f18d9aad68 --- /dev/null +++ b/integrations/antigravity/python/examples/server/api/agentic_chat.py @@ -0,0 +1,17 @@ +"""Agentic chat: plain streaming conversation over the Antigravity harness. + +Text arrives as `content_delta` on a re-emitted step and is translated into a +single bookended AG-UI message (TEXT_MESSAGE_START/CONTENT.../END). +""" + +from __future__ import annotations + +from ._common import build, chat_only_capabilities + +agent = build( + capabilities=chat_only_capabilities(), + system_instructions=( + "You are a helpful, concise assistant. Answer directly. " + "Do not read or write files unless the user explicitly asks." + ), +) diff --git a/integrations/antigravity/python/examples/server/api/backend_tool_rendering.py b/integrations/antigravity/python/examples/server/api/backend_tool_rendering.py new file mode 100644 index 0000000000..3a04833f82 --- /dev/null +++ b/integrations/antigravity/python/examples/server/api/backend_tool_rendering.py @@ -0,0 +1,181 @@ +"""Backend tool rendering: a server-side tool, streamed to the UI as it runs. + +The dojo page for this feature registers a `useRenderTool` for `get_weather` +and draws a weather card from the tool's result, so the point of the demo is +that a tool executed *on the server* is visible on the client -- call, then +arguments, then result. + +Antigravity runs a custom Python tool through the SDK's own `ToolRunner`, and +the harness reports it as a single `TOOL_CALL`/`ACTIVE` step: there is no DONE +step and no result anywhere on `Step`, because the return value goes back over +the WebSocket straight to the model. The adapter therefore emits the call and +its `TOOL_CALL_RESULT` itself (see `UIBridge.build_server_tools`) -- without +that the card would spin forever waiting for a result that never arrives. + +The harness' own built-in tools stay enabled, since they are backend tools too, +and the harness *does* report those at DONE with their output folded into the +call arguments. + +`tool_approval=True` is deliberately NOT set. It routes every non-auto-approved +call through an AG-UI approval *interrupt*, and the dojo answers frontend tools +(`ToolMessage`) rather than interrupts (`RunAgentInput.resume`) -- so the first +`create_file` would park on a prompt nothing can answer and the run would hang. +It looks fine until you ask for a write, because reads are auto-approved. + +Enable it against a client that implements the interrupt protocol; the adapter +then also stops needing the `allow_all` fallback for the SDK's write-tool +safety guard. +""" + +from __future__ import annotations + +import json +import logging +import os + +import httpx +from google.antigravity import CapabilitiesConfig +from google.antigravity.types import BuiltinTools + +from ._common import WORKSPACE, build + +logger = logging.getLogger(__name__) + +# WMO weather codes, as returned by open-meteo's `weather_code`. +_CONDITIONS = { + 0: "Clear sky", + 1: "Mainly clear", + 2: "Partly cloudy", + 3: "Overcast", + 45: "Foggy", + 48: "Depositing rime fog", + 51: "Light drizzle", + 53: "Moderate drizzle", + 55: "Dense drizzle", + 61: "Slight rain", + 63: "Moderate rain", + 65: "Heavy rain", + 71: "Slight snow fall", + 73: "Moderate snow fall", + 75: "Heavy snow fall", + 77: "Snow grains", + 80: "Slight rain showers", + 81: "Moderate rain showers", + 82: "Violent rain showers", + 85: "Slight snow showers", + 86: "Heavy snow showers", + 95: "Thunderstorm", + 96: "Thunderstorm with slight hail", + 99: "Thunderstorm with heavy hail", +} + + +def _condition(code: int) -> str: + return _CONDITIONS.get(code, "Unknown") + + +def _canned(location: str) -> str: + """Deterministic weather, for offline demos and e2e runs. + + open-meteo needs no API key but does need the network, and it rate-limits + shared CI egress. Set ``AG_UI_MOCK_WEATHER=1`` to force this path. + """ + return json.dumps( + { + "temperature": 21.0, + "feelsLike": 20.0, + "humidity": 65.0, + "windSpeed": 12.0, + "windGust": 18.0, + "conditions": _condition(1), + "location": location, + } + ) + + +async def get_weather(location: str) -> str: + """Gets the current weather for a location. + + Args: + location: The city to look up, for example "Tokyo". + """ + if os.environ.get("AG_UI_MOCK_WEATHER"): + return _canned(location) + try: + async with httpx.AsyncClient(timeout=10) as client: + geo = await client.get( + "https://geocoding-api.open-meteo.com/v1/search", + params={"name": location, "count": 1}, + ) + geo.raise_for_status() + matches = geo.json().get("results") or [] + if not matches: + # Returned, not raised: the model should tell the user the place + # was not found rather than report a tool crash. + return json.dumps( + {"error": f"I could not find a place called {location!r}."} + ) + place = matches[0] + + forecast = await client.get( + "https://api.open-meteo.com/v1/forecast", + params={ + "latitude": place["latitude"], + "longitude": place["longitude"], + "current": ( + "temperature_2m,apparent_temperature,relative_humidity_2m," + "wind_speed_10m,wind_gusts_10m,weather_code" + ), + }, + ) + forecast.raise_for_status() + current = forecast.json()["current"] + except (httpx.HTTPError, KeyError, ValueError) as exc: + # A demo that renders a broken card teaches nothing; fall back loudly. + logger.warning("open-meteo lookup failed (%s); using canned data", exc) + return _canned(location) + + return json.dumps( + { + "temperature": current["temperature_2m"], + "feelsLike": current["apparent_temperature"], + "humidity": current["relative_humidity_2m"], + "windSpeed": current["wind_speed_10m"], + "windGust": current["wind_gusts_10m"], + "conditions": _condition(current["weather_code"]), + "location": place["name"], + } + ) + + +agent = build( + system_instructions=( + "You are a helpful weather assistant.\n" + "- Use the get_weather tool for any weather question; never guess.\n" + "- If the location is not in English, translate it first. For a " + 'multi-part place like "New York, NY", use the main part.\n' + "- After the tool returns, summarise it in one or two short sentences. " + "The user can already see a weather card, so do not repeat every " + "number.\n" + "- If no location is given, ask which one.\n" + "You also have filesystem and shell tools scoped to " + f"{WORKSPACE}; use those only when the user asks about files." + ), + tools=[get_weather], + # search_web returns an empty summary without Google credentials, which + # sends the model into a retry loop; the filesystem tools work, so expose + # only those. + capabilities=CapabilitiesConfig( + enabled_tools=[ + BuiltinTools.LIST_DIR, + BuiltinTools.VIEW_FILE, + BuiltinTools.FIND_FILE, + BuiltinTools.SEARCH_DIR, + BuiltinTools.CREATE_FILE, + BuiltinTools.EDIT_FILE, + BuiltinTools.RUN_COMMAND, + BuiltinTools.FINISH, + ], + enable_subagents=False, + ), +) diff --git a/integrations/antigravity/python/examples/server/api/human_in_the_loop.py b/integrations/antigravity/python/examples/server/api/human_in_the_loop.py new file mode 100644 index 0000000000..79b9126d75 --- /dev/null +++ b/integrations/antigravity/python/examples/server/api/human_in_the_loop.py @@ -0,0 +1,28 @@ +"""Human-in-the-loop: the run pauses on the user and resumes on the next run. + +The client's tools become custom async Antigravity tools. Calling one emits +TOOL_CALL_START/ARGS/END, parks on an asyncio.Future, and ends the run; the +next run resolves the Future from the client's `ToolMessage`. This works +because Antigravity's custom tools are awaited with no timeout, so the harness +stays alive while run N's SSE response is already closed. + +The adapter also supports the model's own `ask_question` interaction, mapped to +an AG-UI interrupt via OnInteractionHook. That path is NOT exercised here: +`chat_only_capabilities()` disables the `ask_question` built-in, because the +dojo answers frontend tools rather than `RunAgentInput.resume` interrupts. Drop +the capability restriction to try it against a client that handles interrupts. +""" + +from __future__ import annotations + +from ._common import build, chat_only_capabilities + +agent = build( + capabilities=chat_only_capabilities(), + system_instructions=( + "You plan tasks with the user. When you need the user to choose " + "between options, ask them rather than guessing. Use the frontend " + "tools the user provides to present plans, and revise the plan when " + "the user changes it." + ), +) diff --git a/integrations/antigravity/python/examples/server/api/tool_based_generative_ui.py b/integrations/antigravity/python/examples/server/api/tool_based_generative_ui.py new file mode 100644 index 0000000000..edaf79758b --- /dev/null +++ b/integrations/antigravity/python/examples/server/api/tool_based_generative_ui.py @@ -0,0 +1,20 @@ +"""Tool-based generative UI: the model drives client-rendered components. + +Each tool the client sends in `RunAgentInput.tools` becomes a custom async +Antigravity tool. Calling one emits TOOL_CALL_START/ARGS/END and parks the +harness until the client returns a ToolMessage -- the return value becomes the +model's tool result natively. +""" + +from __future__ import annotations + +from ._common import build, chat_only_capabilities + +agent = build( + capabilities=chat_only_capabilities(), + system_instructions=( + "You help the user by calling the frontend tools they provide. " + "When a tool matches the request, call it instead of describing what " + "you would do. After the tool returns, briefly confirm the result." + ), +) diff --git a/integrations/antigravity/python/examples/server/openai_proxy.py b/integrations/antigravity/python/examples/server/openai_proxy.py new file mode 100644 index 0000000000..c4e47ac322 --- /dev/null +++ b/integrations/antigravity/python/examples/server/openai_proxy.py @@ -0,0 +1,232 @@ +"""Auth-injecting shim for pointing Antigravity at a hosted OpenAI endpoint. + +`google-antigravity` 0.1.8's OpenAI-compatible path (`GemmaEndpoint`) carries +only a `base_url`: there is no API-key field, and the Go harness reads no +`OPENAI_API_KEY`. The path is designed for unauthenticated local servers +(Ollama, LM Studio). This shim makes a hosted endpoint usable by: + +1. adding `Authorization: Bearer $OPENAI_API_KEY`, and +2. rewriting Gemini-flavoured tool schemas into what OpenAI accepts. + +(2) is needed because the SDK builds custom-tool schemas with +`FunctionDeclaration.from_callable_with_api_option(api_option="GEMINI_API")`, +which emits proto-style uppercase type names (`"STRING"`). Both are upstream +SDK gaps, not AG-UI ones -- drop this file once the SDK supports authenticated +OpenAI endpoints natively. + +Not required for the native Gemini path. +""" + +from __future__ import annotations + +import contextlib +import json +import logging +import os +import socket +import threading +import time +from typing import Any + +import httpx +import uvicorn +from fastapi import FastAPI, Request +from fastapi.responses import Response, StreamingResponse + +logger = logging.getLogger(__name__) + +DEFAULT_UPSTREAM = "https://api.openai.com" + +_JSON_TYPES = {"OBJECT", "STRING", "NUMBER", "INTEGER", "BOOLEAN", "ARRAY", "NULL"} + + +def _lower_type(value: Any) -> Any: + """Lowercases a JSON Schema `type`, which may be a name or a list of names.""" + if isinstance(value, str) and value.upper() in _JSON_TYPES: + return value.lower() + if isinstance(value, list): + return [_lower_type(v) for v in value] + return value + + +def _normalize_schema(node: Any) -> Any: + """Lowercases proto-style JSON Schema type names, at any depth.""" + if isinstance(node, list): + return [_normalize_schema(n) for n in node] + if not isinstance(node, dict): + return node + out = {} + for key, value in node.items(): + out[key] = _lower_type(value) if key == "type" else _normalize_schema(value) + return out + + +def _repair_body(body: bytes) -> bytes: + try: + payload = json.loads(body) + except (json.JSONDecodeError, UnicodeDecodeError): + return body + touched = False + for tool in payload.get("tools") or []: + fn = tool.get("function") if isinstance(tool, dict) else None + if isinstance(fn, dict) and "parameters" in fn: + fn["parameters"] = _normalize_schema(fn["parameters"]) + touched = True + + # response_schema= on an agent reaches OpenAI here, and carries the same + # proto-style type names as the tool schemas. + response_format = payload.get("response_format") + if isinstance(response_format, dict): + json_schema = response_format.get("json_schema") + if isinstance(json_schema, dict) and "schema" in json_schema: + json_schema["schema"] = _normalize_schema(json_schema["schema"]) + touched = True + + return json.dumps(payload).encode() if touched else body + + +def build_app(api_key: str, upstream: str = DEFAULT_UPSTREAM) -> FastAPI: + app = FastAPI(title="Antigravity -> OpenAI shim") + client = httpx.AsyncClient(base_url=upstream, timeout=httpx.Timeout(600.0)) + + @app.get("/__shim_health") + async def health(): + """Liveness of the shim itself -- deliberately does not touch upstream.""" + return {"ok": True, "upstream": upstream} + + @app.api_route("/{path:path}", methods=["GET", "POST", "DELETE", "PATCH"]) + async def proxy(path: str, request: Request): + body = _repair_body(await request.body()) + headers = { + "authorization": f"Bearer {api_key}", + "content-type": request.headers.get("content-type", "application/json"), + "accept": request.headers.get("accept", "application/json"), + } + upstream_request = client.build_request( + request.method, + f"/{path}", + content=body, + headers=headers, + params=dict(request.query_params), + ) + try: + response = await client.send(upstream_request, stream=True) + except httpx.HTTPError as exc: + # Starlette would turn this into `500 Internal Server Error` as + # text/plain, which the harness cannot parse as a completion and + # reports as a schema failure rather than an outage. + logger.warning("Upstream %s unreachable: %s", upstream, exc) + return Response( + status_code=502, + media_type="application/json", + content=json.dumps( + { + "error": { + "message": f"upstream {upstream} unreachable: {exc}", + "type": "upstream_error", + } + } + ), + ) + media_type = response.headers.get("content-type", "application/json") + + if "text/event-stream" in media_type: + + async def body_iter(): + # aiter_bytes() decodes any content-encoding httpx negotiated. + # aiter_raw() would forward gzip bytes while the header saying + # so is dropped below, producing an unparseable stream. + try: + async for chunk in response.aiter_bytes(): + yield chunk + except httpx.HTTPError as exc: + # The 200 is already on the wire, so the only way to report + # this is in-band -- otherwise the harness sees a stream + # that merely stopped and calls the turn complete. + logger.warning("Upstream stream failed: %s", exc) + error = json.dumps( + {"error": {"message": str(exc), "type": "upstream_error"}} + ) + yield f"data: {error}\n\ndata: [DONE]\n\n".encode() + finally: + with contextlib.suppress(Exception): + await response.aclose() + + return StreamingResponse( + body_iter(), status_code=response.status_code, media_type=media_type + ) + + try: + raw = await response.aread() + except httpx.HTTPError as exc: + logger.warning("Upstream body read failed: %s", exc) + return Response( + status_code=502, + media_type="application/json", + content=json.dumps( + { + "error": { + "message": f"upstream {upstream} failed mid-body: {exc}", + "type": "upstream_error", + } + } + ), + ) + finally: + # Suppressed: a failure closing the upstream must not replace the + # shaped error above with a bare text/plain 500. + with contextlib.suppress(Exception): + await response.aclose() + return Response( + content=raw, status_code=response.status_code, media_type=media_type + ) + + return app + + +def start_background(port: int = 8931, upstream: str = DEFAULT_UPSTREAM) -> str: + """Starts the shim on a daemon thread and returns the base_url for the SDK. + + The returned URL has no ``/v1`` suffix: the harness appends + ``/v1/chat/completions`` itself. + """ + api_key = os.environ.get("OPENAI_API_KEY") + if not api_key: + raise RuntimeError("OPENAI_API_KEY must be set to use the OpenAI shim.") + + # Bind before starting the thread so an occupied port fails here, loudly, + # instead of inside the daemon thread where the traceback is swallowed -- + # and so we never hand back a URL pointing at somebody else's server. + probe = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + probe.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + try: + probe.bind(("127.0.0.1", port)) + except OSError as exc: + raise RuntimeError( + f"Port {port} is already in use, so the OpenAI shim cannot start. 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Protocol" +version = "0.1.0" +license-files = ["LICENSE"] +readme = "README.md" +requires-python = ">=3.10, <3.15" +dependencies = [ + "ag-ui-protocol>=0.1.19", + # The Antigravity SDK ships a platform-specific wheel that bundles the Go + # "localharness" binary the Python API drives over a WebSocket. Pinned to a + # minor range: the SDK is young and its surface is still moving. + "google-antigravity>=0.1.8,<0.2.0", + "fastapi>=0.115.2", + "pydantic>=2.11.7", + "sse-starlette>=2.1.0", + "uvicorn>=0.35.0", +] +license = "MIT" + +[tool.ag-ui.scripts] +test = "python -m pytest" + +[build-system] +requires = ["uv_build>=0.8.0,<0.11"] +build-backend = "uv_build" + +[project.urls] +Homepage = "https://github.com/ag-ui-protocol/ag-ui/tree/main/integrations/antigravity/python" +Issues = "https://github.com/ag-ui-protocol/ag-ui/issues" + +[dependency-groups] +dev = [ + "httpx>=0.27", + "pytest>=8.4.1", + "pytest-asyncio>=1.0.0", +] + +[tool.pytest.ini_options] +asyncio_mode = "auto" +testpaths = ["tests"] +markers = [ + "live: end-to-end tests that start a real harness and call a real model", +] +addopts = "-m 'not live'" diff --git a/integrations/antigravity/python/src/ag_ui_antigravity/__init__.py b/integrations/antigravity/python/src/ag_ui_antigravity/__init__.py new file mode 100644 index 0000000000..7ecc90ece6 --- /dev/null +++ b/integrations/antigravity/python/src/ag_ui_antigravity/__init__.py @@ -0,0 +1,24 @@ +"""AG-UI integration for Google Antigravity.""" + +from .agent import AntigravityAgent +from .endpoint import add_antigravity_fastapi_endpoint, create_antigravity_app +from .event_translator import EventTranslator +from .session_manager import ( + AntigravitySession, + SessionLimitExceeded, + SessionManager, +) +from .ui_bridge import UIBridge + +__all__ = [ + "AntigravityAgent", + "AntigravitySession", + "EventTranslator", + "SessionLimitExceeded", + "SessionManager", + "UIBridge", + "add_antigravity_fastapi_endpoint", + "create_antigravity_app", +] + +__version__ = "0.1.0" diff --git a/integrations/antigravity/python/src/ag_ui_antigravity/agent.py b/integrations/antigravity/python/src/ag_ui_antigravity/agent.py new file mode 100644 index 0000000000..40c00cdeef --- /dev/null +++ b/integrations/antigravity/python/src/ag_ui_antigravity/agent.py @@ -0,0 +1,741 @@ +"""``AntigravityAgent`` -- the AG-UI entry point for Google Antigravity. + + RunAgentInput ──> AntigravityAgent.run() ──> Conversation.receive_steps() + │ │ │ + │ EventTranslator │ + │ │ │ + BaseEvent[] <──── translate + bridge events <───── Step[] + +The run loop is deliberately small: the Antigravity stream is already ordered, +so translation is a ``for step in receive_steps()`` loop in a try/except. What +this class actually owns is the AG-UI contract around that loop -- exactly one +RUN_STARTED, exactly one terminal event (RUN_FINISHED *or* RUN_ERROR, never +FINISHED after ERROR), and the interleaving of bridge events emitted by parked +hooks and frontend tools. +""" + +from __future__ import annotations + +import asyncio +import logging +import os +import tempfile +from typing import Any, AsyncGenerator, Callable, Dict, List, Optional, Sequence + +from ag_ui.core import ( + BaseEvent, + RunAgentInput, + RunErrorEvent, + RunFinishedEvent, + RunFinishedInterruptOutcome, + RunStartedEvent, +) +from google.antigravity import ( + Agent, + CapabilitiesConfig, + LocalAgentConfig, + LocalOpenAIAgentConfig, +) +from google.antigravity import types as ag_types + +from .event_translator import EventTranslator, step_failure +from .harness_pool import HarnessPool, to_pooled +from .session_manager import SessionLimitExceeded, SessionManager, tool_signature +from .ui_bridge import UIBridge + +logger = logging.getLogger(__name__) + + +class _ResumableOpenAIConfig(LocalOpenAIAgentConfig): + """Restores ``session_continuation_mode`` on the OpenAI-compatible path. + + ``LocalAgentConfig.create_strategy`` forwards the field to the connection + strategy, but ``LocalOpenAIAgentConfig.create_strategy`` in + google-antigravity 0.1.8 does not, which silently disables cold resume. + Setting it on the constructed strategy restores parity; drop this subclass + once the SDK forwards the field itself. + """ + + def create_strategy(self, *, tool_runner: Any, hook_runner: Any): + strategy = super().create_strategy( + tool_runner=tool_runner, hook_runner=hook_runner + ) + if not hasattr(strategy, "_session_continuation_mode"): + raise RuntimeError( + "google-antigravity changed its connection strategy: " + "_session_continuation_mode is gone, so cold resume would " + "silently stop working. Check whether " + "LocalOpenAIAgentConfig.create_strategy now forwards the field " + "itself and drop _ResumableOpenAIConfig if so." + ) + strategy._session_continuation_mode = self.session_continuation_mode + return strategy + + +class _PooledLocalAgentConfig(LocalAgentConfig): + """Native path, sharing a harness process via ``HarnessPool``. + + ``create_strategy`` is the SDK's documented seam for choosing how a backend + is reached, and ``ConnectionStrategy`` is where process management belongs, + so pooling is selected here and nowhere else. ``Agent`` is untouched. + """ + + harness_pool: HarnessPool + + def create_strategy(self, *, tool_runner: Any, hook_runner: Any): + return to_pooled( + super().create_strategy( + tool_runner=tool_runner, hook_runner=hook_runner + ), + pool=self.harness_pool, + ) + + +class _PooledResumableOpenAIConfig(_ResumableOpenAIConfig): + """OpenAI-compatible path, sharing a harness process. + + Composes with ``_ResumableOpenAIConfig`` rather than duplicating it: the + superclass restores ``session_continuation_mode`` first, then the strategy + is wrapped so it takes its process from the pool. + """ + + harness_pool: HarnessPool + + def create_strategy(self, *, tool_runner: Any, hook_runner: Any): + return to_pooled( + super().create_strategy( + tool_runner=tool_runner, hook_runner=hook_runner + ), + pool=self.harness_pool, + ) + + +class AntigravityAgent: + """Wraps a Google Antigravity agent for the AG-UI protocol.""" + + def __init__( + self, + *, + model: Optional[str] = None, + base_url: Optional[str] = None, + api_key: Optional[str] = None, + system_instructions: Optional[str] = None, + capabilities: Optional[CapabilitiesConfig] = None, + tools: Optional[Sequence[Callable[..., Any]]] = None, + mcp_servers: Optional[List[Any]] = None, + subagents: Optional[List[Any]] = None, + workspaces: Optional[List[str]] = None, + save_dir: Optional[str] = None, + response_schema: Optional[Any] = None, + # AG-UI behaviour + enable_frontend_tools: bool = True, + enable_ask_question: bool = True, + tool_approval: bool = False, + auto_approve_tools: Optional[Sequence[str]] = None, + structured_output_as: str = "state", + emit_builtin_tool_calls: bool = True, + deduplicate_tool_calls: bool = True, + # Session policy + session_timeout_seconds: int = 1800, + parked_timeout_seconds: int = 7200, + max_sessions: int = 50, + session_manager: Optional[SessionManager] = None, + # Harness process pooling + max_conversations_per_process: int = 8, + harness_idle_grace_seconds: float = 30.0, + harness_pool: Optional[HarnessPool] = None, + ): + """Creates the adapter. + + Args: + model: Model id. Defaults to the SDK's Gemini default unless + ``base_url`` selects the OpenAI-compatible path. + base_url: Root of an OpenAI-compatible server. Note the harness + appends ``/v1/chat/completions`` itself, so pass the ROOT + (``http://host:port``), not ``.../v1``. + api_key: Gemini API key for the native path. Ignored when + ``base_url`` is set -- the harness' OpenAI path carries no key + field, so authenticate at the endpoint instead. + tool_approval: Route every non-frontend tool call through an AG-UI + approval interrupt. Also satisfies the SDK's mandatory safety guard. + structured_output_as: ``"state"`` (STATE_SNAPSHOT) or ``"custom"``. + max_conversations_per_process: How many conversations share one Go + harness process. Antigravity configures tools, model, capabilities + and ``workspaces`` per *conversation* (over the WebSocket) and only + ``save_dir``/``env`` per *process*, so sharing is safe and costs + ~1 MB per extra idle conversation instead of ~95 MB. The default is + chosen for blast radius -- one dead process takes every conversation + on it -- not for memory. Set to 1 for one process per thread. + deduplicate_tool_calls: Dispatch a frontend tool to the client at most + once per Antigravity turn. An identical repeat is answered from the + cached result; a repeat with different arguments gets a plain + statement of what already ran. On by default because the harness + backgrounds slow custom tools and the model then re-issues them, + which would run a side-effecting action twice. Turn off if a tool is + genuinely meant to run more than once within one turn. + """ + self._model = model + self._base_url = base_url + self._api_key = api_key + self._system_instructions = system_instructions + self._capabilities = capabilities + self._static_tools = list(tools or []) + self._mcp_servers = list(mcp_servers or []) + self._subagents = list(subagents or []) + self._workspaces = list(workspaces) if workspaces else [os.getcwd()] + self._save_dir = save_dir + self._response_schema = response_schema + + self._enable_frontend_tools = enable_frontend_tools + self._enable_ask_question = enable_ask_question + self._tool_approval = tool_approval + self._auto_approve = set(auto_approve_tools or []) + if structured_output_as not in ("state", "custom"): + raise ValueError( + "structured_output_as must be 'state' or 'custom', got " + f"{structured_output_as!r}" + ) + self._structured_output_as = structured_output_as + self._emit_builtin_tool_calls = emit_builtin_tool_calls + self._deduplicate_tool_calls = deduplicate_tool_calls + + self._sessions = session_manager or SessionManager( + session_timeout_seconds=session_timeout_seconds, + parked_timeout_seconds=parked_timeout_seconds, + max_sessions=max_sessions, + ) + # Owned unless injected, and torn down by close() in that case only. + self._owns_pool = harness_pool is None + self._pool = harness_pool or HarnessPool( + max_conversations_per_process=max_conversations_per_process, + idle_grace_seconds=harness_idle_grace_seconds, + ) + + @property + def session_manager(self) -> SessionManager: + return self._sessions + + @property + def harness_pool(self) -> HarnessPool: + return self._pool + + def _resolved_save_dir(self) -> str: + """One save directory for every session this adapter creates. + + Left to itself the SDK calls ``tempfile.mkdtemp()`` per *config*, so + each session would get a fresh directory. That breaks two things: + + * cold resume, which reconstructs a conversation from + ``conversation_id`` + ``save_dir`` -- against a brand-new empty + directory the harness has nothing to restore; + * pooling, since ``save_dir`` is fixed at process start and is part of + the pool's partition key, so a per-session directory means a process + per session. + + Created lazily so an adapter that never runs leaves no directory behind. + """ + if self._save_dir is None: + self._save_dir = tempfile.mkdtemp(prefix="ag_ui_antigravity_") + logger.info( + "No save_dir given; this adapter's sessions will share %s", + self._save_dir, + ) + return self._save_dir + + def builtin_enabled(self, tool: "ag_types.BuiltinTools") -> bool: + """True when ``tool`` survives this agent's ``CapabilitiesConfig``. + + The config is an allow/deny list over the harness' built-ins, so a + capability advertised without consulting it can be a lie. + """ + capabilities = self._capabilities + if capabilities is None: + return True # SDK default: every built-in enabled. + if capabilities.enabled_tools is not None: + return tool in capabilities.enabled_tools + if capabilities.disabled_tools is not None: + return tool not in capabilities.disabled_tools + return True + + @property + def ask_question_reachable(self) -> bool: + """True when the model can actually raise an ``ask_question`` interrupt. + + The hook is only half the story: the harness gates the built-in behind + ``CapabilitiesConfig``, so an ``enabled_tools`` allowlist that omits + ``ask_question`` (or a ``disabled_tools`` list naming it) makes the + registered hook unreachable. + """ + return self._enable_ask_question and self.builtin_enabled( + ag_types.BuiltinTools.ASK_QUESTION + ) + + async def close(self) -> None: + # Sessions first: each one disconnects its conversation and returns its + # slot, so the pool has nothing live left to tear down. + try: + await self._sessions.stop() + finally: + if self._owns_pool: + await self._pool.shutdown() + + # ------------------------------------------------------------------ + # Config construction + # ------------------------------------------------------------------ + + def _build_agent( + self, + bridge: UIBridge, + input_data: RunAgentInput, + previous_conversation_id: Optional[str], + ) -> Agent: + # Wrapped so each call emits TOOL_CALL_START/ARGS/END and, crucially, + # a TOOL_CALL_RESULT: the harness reports a custom tool as a single + # ACTIVE step and never reports its return value, so the step stream + # alone would leave the client's tool card spinning forever. + tools: List[Any] = bridge.build_server_tools(self._static_tools) + if self._enable_frontend_tools and input_data.tools: + tools.extend(bridge.build_frontend_tools(list(input_data.tools))) + + hooks: List[Any] = [] + if self._enable_ask_question: + hooks.append(bridge.build_interaction_hook()) + if self._tool_approval: + hooks.append( + bridge.build_tool_approval_hook(auto_approve=self._auto_approve) + ) + + capabilities = self._capabilities or CapabilitiesConfig( + enable_subagents=bool(self._subagents) + ) + + common: Dict[str, Any] = { + "system_instructions": self._system_instructions, + "capabilities": capabilities, + "tools": tools, + "hooks": hooks, + "mcp_servers": self._mcp_servers, + "subagents": self._subagents, + "workspaces": self._workspaces, + "save_dir": self._resolved_save_dir(), + "response_schema": self._response_schema, + } + if previous_conversation_id: + common["conversation_id"] = previous_conversation_id + common["session_continuation_mode"] = ( + ag_types.SessionContinuationMode.CREATE_OR_RESUME + ) + # The SDK refuses to start when write tools or MCP servers are enabled + # without either a policy or a decide hook. The approval hook counts; + # otherwise fall back to the SDK's default confirm policy behaviour by + # allowing everything explicitly (the server operator opted in by + # enabling those capabilities). + if not self._tool_approval: + from google.antigravity.hooks import policy + + common["policies"] = [policy.allow_all()] + + common = {k: v for k, v in common.items() if v is not None} + + if self._base_url: + return Agent( + _PooledResumableOpenAIConfig( + model=self._model, + base_url=self._base_url, + harness_pool=self._pool, + **common, + ) + ) + config_kwargs = dict(common) + if self._model: + config_kwargs["model"] = self._model + if self._api_key: + config_kwargs["api_key"] = self._api_key + return Agent( + _PooledLocalAgentConfig(harness_pool=self._pool, **config_kwargs) + ) + + # ------------------------------------------------------------------ + # Run + # ------------------------------------------------------------------ + + async def run( + self, input_data: RunAgentInput + ) -> AsyncGenerator[BaseEvent, None]: + """Executes one AG-UI run and yields protocol events.""" + thread_id = input_data.thread_id + run_id = input_data.run_id + + yield RunStartedEvent( + type="RUN_STARTED", thread_id=thread_id, run_id=run_id + ) + + terminal_sent = False + try: + self._sessions.start() + signature = tool_signature([t.name for t in (input_data.tools or [])]) + session = await self._sessions.get_or_create( + thread_id, + signature=signature, + factory=lambda bridge, prev: self._build_agent( + bridge, input_data, prev + ), + bridge_factory=lambda: UIBridge( + deduplicate_tool_calls=self._deduplicate_tool_calls + ), + ) + + async with session.lock: + session.touch() + async for event in self._run_locked(session, input_data): + if event.type in ("RUN_FINISHED", "RUN_ERROR"): + terminal_sent = True + yield event + session.touch() + + except SessionLimitExceeded as exc: + if not terminal_sent: + terminal_sent = True + yield RunErrorEvent( + type="RUN_ERROR", message=str(exc), code="SESSION_LIMIT" + ) + except ag_types.AntigravityCancelledError as exc: + if not terminal_sent: + terminal_sent = True + yield RunErrorEvent( + type="RUN_ERROR", + # Keep the specific reason, matching the in-loop handler: + # "the session was closed" and "the client disconnected" + # are different operationally. + message=str(exc) or "The run was cancelled.", + code="CANCELLED", + ) + except Exception as exc: # broad: any failure must reach the client + logger.exception("Antigravity run failed") + if not terminal_sent: + terminal_sent = True + yield RunErrorEvent( + type="RUN_ERROR", + message=f"{type(exc).__name__}: {exc}", + code="AGENT_ERROR", + ) + + if not terminal_sent: + yield RunFinishedEvent( + type="RUN_FINISHED", thread_id=thread_id, run_id=run_id + ) + + async def _run_locked( + self, session, input_data: RunAgentInput + ) -> AsyncGenerator[BaseEvent, None]: + bridge: UIBridge = session.bridge + + # ---- resolve anything the client answered since the last run ---- + resumed = self._apply_client_answers(bridge, input_data) + bridge.forget_resolved() + + # A resumption can also carry a new user message -- the client flushes + # the tool result and whatever the user typed in one POST -- so this is + # not gated on `resumed`. + prompt, prompt_id = self._extract_prompt(input_data, session) + if prompt is not None and not resumed: + # A genuinely new user turn. Anything still parked belongs to the + # previous turn and the user has moved on without answering it: + # release it, or the harness stays blocked on our coroutine, this + # run reads nothing (see _steps_with_bridge), and the session is + # pinned in memory forever because `is_parked` never clears. + if bridge.has_pending: + logger.info( + "New user message on thread %s while %d request(s) were " + "parked; abandoning them.", + input_data.thread_id, + len(bridge.pending_ids()), + ) + bridge.abandon_pending() + # A harness failure can land while a run is parked; reset_stream + # recovers it. Continuing would send this prompt onto a dead + # conversation and report the result as a success. + stale_failure = await session.reset_stream() + session.raise_if_closed() + if stale_failure is not None: + yield RunErrorEvent( + type="RUN_ERROR", + message=( + f"The Antigravity session failed while awaiting your " + f"reply: {type(stale_failure).__name__}: {stale_failure}" + ), + code="AGENT_ERROR", + ) + return + session.raise_if_closed() + await session.conversation.send(prompt) + # Recorded only now: marking it before the send means a failed send + # (or the stale-failure early return above) makes the client's + # retry look already-delivered, and the message is swallowed. + session.forwarded_prompts.add(prompt_id) + elif prompt is not None: + # Resumption that also carries new user text: the parked coroutine + # was already resolved above, so just add the message to the turn. + session.raise_if_closed() + await session.conversation.send(prompt) + session.forwarded_prompts.add(prompt_id) + elif not resumed: + # Nothing to say and nothing to resume. + for event in bridge.drain(): + yield event + return + + # The translator carries per-turn state (message ids, which steps are + # already finished), so it is created with the turn and retired with it. + if session.translator is None: + session.translator = EventTranslator( + structured_output_as=self._structured_output_as, + emit_builtin_tool_calls=self._emit_builtin_tool_calls, + ) + for name in bridge.frontend_tool_names | bridge.server_tool_names: + session.translator.suppress_tool(name) + translator = session.translator + + # ---- consume the Antigravity stream ---- + error: Optional[BaseException] = None + cancelled = False + try: + async for step in self._steps_with_bridge(session, bridge): + # The lock guard in SessionManager._expired is what protects an + # in-flight run; this keeps `last_activity` honest for the + # moment the lock is released, so a turn that streamed for + # longer than the idle timeout is not swept immediately after. + session.touch() + failure = step_failure(step) + if failure is not None: + raise ag_types.AntigravityExecutionError(failure) + async for event in translator.translate(step): + yield event + for event in bridge.drain(): + yield event + except ag_types.AntigravityCancelledError as exc: + # Same terminal event as the outer handler at run(): a cancellation + # is not a successful run, and reporting it as one here while the + # outer path reports RUN_ERROR made the outcome depend on where it + # happened to surface. + error = exc + cancelled = True + # Not necessarily the client: a forced SessionManager.close()/stop() + # reaches here through the same exception. + logger.info("Antigravity run cancelled: %s", exc) + except Exception as exc: + error = exc + + if error is not None or cancelled: + # The turn died or was cancelled. Release anything parked before + # retiring the stream: a request left pending keeps `is_parked` + # true, and the idle sweeper never reclaims the session or its + # subprocess. Cancellation needs this just as much as failure -- + # it used to skip it and pin the harness for the process lifetime. + bridge.abandon_pending() + await session.reset_stream() + + async for event in translator.close(): + yield event + for event in bridge.drain(): + yield event + + if error is not None: + yield RunErrorEvent( + type="RUN_ERROR", + message=( + # Keep the specific reason -- "the session was closed" and + # "the client disconnected" are different operationally. + (str(error) or "The run was cancelled.") + if cancelled + else f"{type(error).__name__}: {error}" + ), + code="CANCELLED" if cancelled else "AGENT_ERROR", + ) + return + + # ---- terminal event: interrupt or success ---- + interrupts = bridge.pending_interrupts() + if interrupts: + yield RunFinishedEvent( + type="RUN_FINISHED", + thread_id=input_data.thread_id, + run_id=input_data.run_id, + outcome=RunFinishedInterruptOutcome( + type="interrupt", interrupts=interrupts + ), + ) + return + + yield RunFinishedEvent( + type="RUN_FINISHED", + thread_id=input_data.thread_id, + run_id=input_data.run_id, + ) + + async def _steps_with_bridge(self, session, bridge: UIBridge): + """Yields Antigravity steps, ending the run while a request is parked. + + When a frontend tool or hook parks, the harness goes quiet -- it is + waiting on our coroutine, which is waiting on the client. Blocking on + ``receive_steps()`` would hang the SSE response forever, so the run + returns and the parked coroutine stays alive for the next one. + + One Antigravity turn can therefore span several AG-UI runs. The + iterator and any in-flight ``__anext__()`` are stashed on the session + and picked back up on the next run: starting a fresh ``receive_steps()`` + instead makes the harness re-deliver the steps of the turn already in + progress, so the same tool call is replayed to the client on every run + and the conversation never converges. + """ + if session.step_iter is None: + session.step_iter = session.conversation.receive_steps().__aiter__() + + while True: + # Checked every iteration, not just on entry: `yield step` below + # suspends in the SSE writer awaiting the socket, and a forced close + # landing there sets `step_iter = None`. Resuming would then raise + # AttributeError and report a deliberate shutdown as an agent bug. + session.raise_if_closed() + # Resume the future the previous run left mid-flight, if any. + next_step = session.pending_step + if next_step is None: + next_step = asyncio.ensure_future(session.step_iter.__anext__()) + session.pending_step = next_step + + parked = asyncio.ensure_future(_wait_until_parked(bridge)) + try: + await asyncio.wait( + {next_step, parked}, return_when=asyncio.FIRST_COMPLETED + ) + finally: + parked.cancel() + + if next_step.done(): + session.pending_step = None + if next_step.cancelled(): + # Somebody else cancelled the future we stashed on the + # session -- a forced SessionManager.close()/stop(), or + # AntigravityAgent.close(), landing while this run holds the + # lock. Calling .result() would raise a bare CancelledError, + # and that is a BaseException: it escapes both this method's + # caller and endpoint._stream, so the client would get no + # terminal event at all. Convert it to the SDK's cancelled + # error, which the run loop already maps to + # RUN_ERROR/code="CANCELLED". + # + # A cancellation of this run's OWN task is unaffected: that + # raises out of the `asyncio.wait` above, never reaching here. + raise ag_types.AntigravityCancelledError( + "The Antigravity session was closed while the run was " + "in progress." + ) + try: + step = next_step.result() + except StopAsyncIteration: + # The turn is over; the next one needs a fresh iterator. + await session.reset_stream() + return + yield step + continue + + # Parked. Leave `next_step` pending on the session -- cancelling it + # would discard the step the harness is mid-way through delivering. + logger.debug( + "Run parked with %d pending request(s)", len(bridge.pending_ids()) + ) + return + + # ------------------------------------------------------------------ + # Client input + # ------------------------------------------------------------------ + + def _apply_client_answers( + self, bridge: UIBridge, input_data: RunAgentInput + ) -> bool: + """Resolves parked futures from this run's input. Returns True if any.""" + resolved = False + + for entry in input_data.resume or []: + if bridge.resolve_interrupt( + entry.interrupt_id, entry.payload, entry.status == "cancelled" + ): + resolved = True + else: + # A resume for an id we never issued (or already released) means + # client and server disagree about the run's state. Staying + # silent lets the caller believe the answer landed. + logger.warning( + "Ignoring resume for unknown interrupt %s on thread %s", + entry.interrupt_id, + input_data.thread_id, + ) + + # Frontend tool results arrive as ToolMessages carrying the tool_call_id + # we minted when the tool parked. + for message in reversed(list(input_data.messages or [])): + if getattr(message, "role", None) != "tool": + continue + tool_call_id = getattr(message, "tool_call_id", None) + if not tool_call_id: + continue + if bridge.resolve_tool_call(tool_call_id, getattr(message, "content", "")): + resolved = True + else: + # Clients legitimately resend whole transcripts, so old + # ToolMessages are expected; log at debug for diagnosis only. + logger.debug( + "No parked request for tool_call_id %s", tool_call_id + ) + + return resolved + + def _extract_prompt(self, input_data: RunAgentInput, session) -> tuple: + """Returns ``(text, message_id)`` for the newest unforwarded user turn. + + Antigravity owns the conversation history in-process while the AG-UI + client resends the whole transcript every run, so each user message + must reach the harness exactly once. Identity is the only reliable + test: inferring it from position -- "after the last ToolMessage" -- + misreads a tool result left over from an earlier turn and replays that + turn's prompt, and misses new text on a run resumed purely by a + `resume` entry. + """ + for message in reversed(list(input_data.messages or [])): + if getattr(message, "role", None) != "user": + continue + message_id = getattr(message, "id", None) + if message_id in session.forwarded_prompts: + # Everything before this was forwarded on an earlier run. + return (None, None) + text = _message_text(getattr(message, "content", None)) + if text: + return (text, message_id) + return (None, None) + + +def _message_text(content: Any) -> str: + """Flattens AG-UI message content to the text the harness can accept. + + ``UserMessage.content`` is a string or a list of typed parts. Only text + survives -- ``conversation.send()`` takes a string -- but ignoring a + list-shaped message entirely would silently drop the user's turn, so the + text parts are joined and non-text parts are left for a future multimodal + mapping. + """ + if isinstance(content, str): + return content.strip() + if isinstance(content, list): + parts = [] + for part in content: + text = getattr(part, "text", None) + if isinstance(text, str) and text.strip(): + parts.append(text.strip()) + return "\n".join(parts) + return "" + + +async def _wait_until_parked(bridge: UIBridge) -> None: + """Completes once the bridge has an unresolved parked request.""" + while not bridge.has_pending: + await asyncio.sleep(0.02) diff --git a/integrations/antigravity/python/src/ag_ui_antigravity/endpoint.py b/integrations/antigravity/python/src/ag_ui_antigravity/endpoint.py new file mode 100644 index 0000000000..9290c59afe --- /dev/null +++ b/integrations/antigravity/python/src/ag_ui_antigravity/endpoint.py @@ -0,0 +1,179 @@ +"""FastAPI wiring for :class:`AntigravityAgent`. + +Wire format matches the rest of the AG-UI Python integrations exactly: +``data: {json}\\n\\n`` with camelCase aliases and ``None`` fields omitted. +""" + +from __future__ import annotations + +import logging +from contextlib import asynccontextmanager +from typing import Any, Dict, Optional, Union + +from ag_ui.core import RunAgentInput, RunErrorEvent +from google.antigravity import types as ag_types +from fastapi import FastAPI +from sse_starlette.sse import EventSourceResponse, ServerSentEvent + +from .agent import AntigravityAgent + +logger = logging.getLogger(__name__) + + +def _encode(event: Any) -> str: + return event.model_dump_json(by_alias=True, exclude_none=True) + + +def _sse(raw: str, *, event: Optional[str] = None) -> ServerSentEvent: + """Frames pre-serialized JSON as ``data: {json}\\n\\n`` without re-encoding.""" + if event is None: + return ServerSentEvent(data=raw, sep="\n") + return ServerSentEvent(data=raw, event=event, sep="\n") + + +async def _stream(agent: AntigravityAgent, input_data: RunAgentInput): + try: + async for event in agent.run(input_data): + try: + yield _sse(_encode(event)) + except Exception as encoding_error: + logger.error("Event encoding error: %s", encoding_error, exc_info=True) + yield _sse( + _encode( + RunErrorEvent( + type="RUN_ERROR", + message=f"Event encoding failed: {encoding_error}", + code="ENCODING_ERROR", + ) + ) + ) + return + except Exception as agent_error: + logger.error("AntigravityAgent error: %s", agent_error, exc_info=True) + try: + yield _sse( + _encode( + RunErrorEvent( + type="RUN_ERROR", + message=f"Agent execution failed: {agent_error}", + code="AGENT_ERROR", + ) + ) + ) + except Exception: # pragma: no cover + yield _sse('{"error": "Agent execution failed"}', event="error") + + +def default_capabilities(agent: AntigravityAgent) -> Dict[str, Any]: + """Describes this integration in AG-UI's ``AgentCapabilities`` shape. + + The payload must validate against ``AgentCapabilitiesSchema`` -- the + TypeScript client parses it strictly and throws otherwise, so the keys here + are the schema's nested category objects, not loose booleans. + """ + return { + "identity": { + "type": "antigravity", + "description": "Google Antigravity agent exposed over AG-UI.", + }, + "transport": {"streaming": True}, + "tools": { + "supported": True, + "parallelCalls": True, + # Client tools become real Antigravity custom tools. + "clientProvided": agent._enable_frontend_tools, + }, + "output": {"structuredOutput": agent._response_schema is not None}, + "state": { + # FINISH.structured_output drives the snapshot, and the harness + # only populates it when a response_schema was configured. + "snapshots": ( + agent._structured_output_as == "state" + and agent._response_schema is not None + ), + "deltas": False, + # History lives in the long-running harness process, keyed by thread. + "persistentState": True, + }, + "reasoning": {"supported": True, "streaming": True}, + "execution": { + # The Go harness runs real shell commands on the host -- but only + # when run_command survives the capability config. + "codeExecution": agent.builtin_enabled(ag_types.BuiltinTools.RUN_COMMAND), + "sandboxed": False, + }, + "humanInTheLoop": { + # Only true if some HITL channel actually exists. + "supported": ( + agent._enable_frontend_tools + or agent.ask_question_reachable + or agent._tool_approval + ), + "approvals": agent._tool_approval, + # Only advertise interrupts the client could actually receive: + # the ask_question built-in can be switched off by capabilities. + "interrupts": agent.ask_question_reachable or agent._tool_approval, + "interventions": agent._enable_frontend_tools, + }, + } + + +def add_antigravity_fastapi_endpoint( + app: FastAPI, + agent: Union[AntigravityAgent, Dict[str, AntigravityAgent]], + path: str = "/", + *, + capabilities: Optional[Dict[str, Any]] = None, +) -> None: + """Mounts an AG-UI endpoint (plus ``/capabilities``) on ``app``. + + Args: + app: The FastAPI application. + agent: A single agent, or a mapping of sub-path -> agent so one server can + expose several demo agents (``/agentic_chat``, ``/human_in_the_loop``…). + path: Mount point. + capabilities: Payload served at ``/capabilities``. + """ + base = "/" + path.strip("/") if path.strip("/") else "" + agents: Dict[str, AntigravityAgent] = ( + agent if isinstance(agent, dict) else {"": agent} + ) + + for sub_path, sub_agent in agents.items(): + route = f"{base}/{sub_path.strip('/')}" if sub_path.strip("/") else base or "/" + _register(app, route, sub_agent, capabilities) + + +def _register( + app: FastAPI, + route: str, + agent: AntigravityAgent, + capabilities: Optional[Dict[str, Any]], +) -> None: + async def run_endpoint(input_data: RunAgentInput): + return EventSourceResponse(_stream(agent, input_data)) + + async def capabilities_endpoint(): + return capabilities or default_capabilities(agent) + + app.post(route)(run_endpoint) + app.get(f"{route.rstrip('/')}/capabilities")(capabilities_endpoint) + + +def create_antigravity_app( + agent: Union[AntigravityAgent, Dict[str, AntigravityAgent]], + path: str = "/", + **kwargs: Any, +) -> FastAPI: + """Creates a FastAPI app serving ``agent``.""" + targets = list(agent.values()) if isinstance(agent, dict) else [agent] + + @asynccontextmanager + async def lifespan(_app: FastAPI): + yield + for target in targets: + await target.close() + + app = FastAPI(title="AG-UI Antigravity Integration", lifespan=lifespan) + add_antigravity_fastapi_endpoint(app, agent, path, **kwargs) + return app diff --git a/integrations/antigravity/python/src/ag_ui_antigravity/event_translator.py b/integrations/antigravity/python/src/ag_ui_antigravity/event_translator.py new file mode 100644 index 0000000000..948883baa9 --- /dev/null +++ b/integrations/antigravity/python/src/ag_ui_antigravity/event_translator.py @@ -0,0 +1,524 @@ +"""Translates Antigravity ``Step`` objects into AG-UI protocol events. + +The Antigravity stream is already ordered and delta-shaped: ``receive_steps()`` +yields one logical ``Step`` per ``trajectory_id:step_index``, re-emitted as it +grows with ``status`` moving ACTIVE -> DONE and ``content_delta`` / +``thinking_delta`` carrying each increment. There is nothing to merge or +re-order, so the translator is a straight per-step state machine. + +Two rules drive the shape of this file: + +* AG-UI requires strict bookending -- a TEXT_MESSAGE_START must be closed by a + TEXT_MESSAGE_END before any tool-call event opens, and likewise for thinking. + ``_close_open_blocks`` is called at every transition. +* Steps whose ``source`` is USER are the harness echoing our own prompt back. + They must never be translated, or the user's message would be replayed as an + assistant message. +""" + +from __future__ import annotations + +import json +import logging +import uuid +from typing import Any, AsyncGenerator, Optional + +from ag_ui.core import ( + BaseEvent, + CustomEvent, + StateSnapshotEvent, + StepFinishedEvent, + StepStartedEvent, + TextMessageContentEvent, + TextMessageEndEvent, + TextMessageStartEvent, + ThinkingEndEvent, + ThinkingStartEvent, + ThinkingTextMessageContentEvent, + ThinkingTextMessageEndEvent, + ThinkingTextMessageStartEvent, + ToolCallArgsEvent, + ToolCallEndEvent, + ToolCallResultEvent, + ToolCallStartEvent, +) +from google.antigravity import types as ag_types + +logger = logging.getLogger(__name__) + + +def done_status(step: ag_types.Step) -> bool: + return step.status == ag_types.StepStatus.DONE + + +def step_failure(step: ag_types.Step) -> Optional[str]: + """Returns a failure message when a step reports one, else None. + + ``receive_steps()`` raises only for ``source=SYSTEM`` errors carrying HTTP + 400/401/403 (see the SDK's ``local_connection.receive_steps``). Rate limits, + 5xx and model-side failures are *yielded* as a step with + ``status=ERROR``, so a run that only watches for exceptions reports them as + success. + """ + if step.status != ag_types.StepStatus.ERROR: + return None + http_code = getattr(step, "http_code", 0) + detail = step.error or step.content or "the Antigravity harness reported a failure" + return f"{detail} (HTTP {http_code})" if http_code else detail + + +# Antigravity's FINISH step carries the structured_output payload. Emitting it +# as a STATE_SNAPSHOT drives shared-state / generative-UI demos; consumers that +# prefer an opaque channel can switch to CUSTOM via `structured_output_as`. +STRUCTURED_OUTPUT_AS_STATE = "state" +STRUCTURED_OUTPUT_AS_CUSTOM = "custom" + + +class EventTranslator: + """Holds the open-block and completed-step state for one Antigravity turn. + + Scope is the TURN, not the AG-UI run. A turn that parks on a human spans + several runs, and on each later run the harness re-delivers the steps of + that turn it has already sent. A per-run translator has no memory of them + and re-emits every one, so the client sees duplicate tool calls, executes + them again, and the conversation never converges. The session therefore + keeps one translator per turn and retires it when the turn ends. + """ + + def __init__( + self, + *, + structured_output_as: str = STRUCTURED_OUTPUT_AS_STATE, + emit_builtin_tool_calls: bool = True, + ): + self._structured_output_as = structured_output_as + self._emit_builtin_tool_calls = emit_builtin_tool_calls + + # step_index -> AG-UI message id, so a step re-emitted with new deltas + # keeps streaming into the same message. + self._message_ids: dict[int, str] = {} + self._open_text: Optional[str] = None # message_id of open text block + self._open_text_index: Optional[int] = None + self._open_thinking: bool = False + # Antigravity tool-call identity -> AG-UI tool_call_id. + self._tool_call_ids: dict[str, str] = {} + self._open_tool_calls: set[str] = set() + # Steps already carried to completion. When a turn spans several AG-UI + # runs, the harness re-delivers the earlier steps of that turn on the + # later runs; without these guards each redelivery would be translated + # into a second TOOL_CALL_START / TEXT_MESSAGE_START and the client + # would see (and re-execute) the same call again. + self._completed_tool_calls: set[str] = set() + # Calls that were still open when a run ended and so were bookended by + # close(). They are NOT finished -- the harness delivers their result on + # a later run of the same turn -- so they must not be treated as + # redeliveries, only prevented from re-opening. + self._flushed_open: set[str] = set() + self._completed_steps: set[int] = set() + self._emitted_args: dict[str, str] = {} + # Argument keys present when a tool call was first seen. Built-in tools + # report their outcome by *growing* the args dict at DONE, so the keys + # that appear later are the result. + self._input_arg_keys: dict[str, set[str]] = {} + self._open_steps: set[str] = set() + # Frontend (client-executed) tools are emitted by the UI bridge, not + # here, so the translator must not double-emit them. + self._suppressed_tool_names: set[str] = set() + + def suppress_tool(self, name: str) -> None: + """Marks a tool as emitted elsewhere (the UI bridge).""" + self._suppressed_tool_names.add(name) + + # ------------------------------------------------------------------ + # Block bookkeeping + # ------------------------------------------------------------------ + + def _message_id_for(self, step: ag_types.Step) -> str: + if step.step_index not in self._message_ids: + self._message_ids[step.step_index] = str(uuid.uuid4()) + return self._message_ids[step.step_index] + + async def _close_open_blocks(self) -> AsyncGenerator[BaseEvent, None]: + """Closes any open text/thinking block. Must run before other events.""" + if self._open_thinking: + yield ThinkingTextMessageEndEvent(type="THINKING_TEXT_MESSAGE_END") + yield ThinkingEndEvent(type="THINKING_END") + self._open_thinking = False + if self._open_text is not None: + yield TextMessageEndEvent( + type="TEXT_MESSAGE_END", message_id=self._open_text + ) + # A closed message can never be reopened, so if this step produces + # more text later it must start a new one. + self._message_ids.pop(self._open_text_index, None) + self._open_text = None + self._open_text_index = None + + async def close(self) -> AsyncGenerator[BaseEvent, None]: + """Flushes open blocks at end of run. + + Always call before the terminal event -- RUN_FINISHED *or* RUN_ERROR; + the error path is the one that actually needs it, since that is where a + half-streamed message would otherwise be left unclosed. + """ + async for event in self._close_open_blocks(): + yield event + # `_open_tool_calls` holds internal keys, not AG-UI ids -- map through + # `_tool_call_ids` before emitting. Record these as *flushed*, not + # completed: the call is still running, and marking it completed would + # make the translator drop the DONE step that carries its result. + for key in list(self._open_tool_calls): + yield ToolCallEndEvent( + type="TOOL_CALL_END", tool_call_id=self._tool_call_ids[key] + ) + self._open_tool_calls.discard(key) + self._flushed_open.add(key) + for step_name in list(self._open_steps): + yield StepFinishedEvent(type="STEP_FINISHED", step_name=step_name) + self._open_steps.discard(step_name) + + # ------------------------------------------------------------------ + # Main entry point + # ------------------------------------------------------------------ + + async def translate( + self, step: ag_types.Step + ) -> AsyncGenerator[BaseEvent, None]: + """Yields the AG-UI events for one Antigravity step.""" + # The harness echoes the user's own prompt as a step with source=USER. + # Translating it would replay the user's message as assistant output. + if step.source == ag_types.StepSource.USER: + return + + # An ERROR step carries no translatable content. The run loop inspects + # `status` itself (see `step_failure`) and ends the run as RUN_ERROR -- + # the SDK only *raises* for source=SYSTEM with HTTP 400/401/403, so + # every 429, 5xx and model-side failure arrives here as a step instead. + if step.status == ag_types.StepStatus.ERROR: + return + + # A step that already reached DONE on an earlier run of this turn is a + # redelivery, not new output. + already_done = step.step_index in self._completed_steps + + if not already_done and ( + step.type == ag_types.StepType.THINKING or step.thinking_delta + ): + async for event in self._translate_thinking(step): + yield event + + if step.content_delta and not already_done: + async for event in self._translate_text(step): + yield event + + if step.tool_calls: + async for event in self._translate_tool_calls(step): + yield event + + if ( + step.type == ag_types.StepType.FINISH + and step.structured_output is not None + and not already_done + ): + async for event in self._close_open_blocks(): + yield event + async for event in self._translate_structured_output(step): + yield event + + # A step reaching DONE closes its text block so the next step (or a + # tool call) starts cleanly. + if step.status == ag_types.StepStatus.DONE: + async for event in self._close_open_blocks(): + yield event + self._completed_steps.add(step.step_index) + + # ------------------------------------------------------------------ + # Per-kind translation + # ------------------------------------------------------------------ + + async def _translate_thinking( + self, step: ag_types.Step + ) -> AsyncGenerator[BaseEvent, None]: + if not step.thinking_delta: + return + if self._open_text is not None: + yield TextMessageEndEvent( + type="TEXT_MESSAGE_END", message_id=self._open_text + ) + self._message_ids.pop(self._open_text_index, None) + self._open_text = None + self._open_text_index = None + if not self._open_thinking: + # THINKING_START must bracket the message events: the client's + # verifyEvents rejects a THINKING_TEXT_MESSAGE_START with no + # thinking step in progress, which aborts the whole run. + yield ThinkingStartEvent(type="THINKING_START") + yield ThinkingTextMessageStartEvent(type="THINKING_TEXT_MESSAGE_START") + self._open_thinking = True + yield ThinkingTextMessageContentEvent( + type="THINKING_TEXT_MESSAGE_CONTENT", delta=step.thinking_delta + ) + + async def _translate_text( + self, step: ag_types.Step + ) -> AsyncGenerator[BaseEvent, None]: + if self._open_thinking: + yield ThinkingTextMessageEndEvent(type="THINKING_TEXT_MESSAGE_END") + yield ThinkingEndEvent(type="THINKING_END") + self._open_thinking = False + + message_id = self._message_id_for(step) + if self._open_text is not None and self._open_text != message_id: + yield TextMessageEndEvent( + type="TEXT_MESSAGE_END", message_id=self._open_text + ) + self._message_ids.pop(self._open_text_index, None) + self._open_text = None + self._open_text_index = None + if self._open_text is None: + message_id = self._message_id_for(step) + yield TextMessageStartEvent( + type="TEXT_MESSAGE_START", message_id=message_id, role="assistant" + ) + self._open_text = message_id + self._open_text_index = step.step_index + yield TextMessageContentEvent( + type="TEXT_MESSAGE_CONTENT", + message_id=message_id, + delta=step.content_delta, + ) + + def _tool_key(self, step: ag_types.Step, call: ag_types.ToolCall, pos: int) -> str: + """Stable identity for a tool call across the step re-emissions. + + Built-in tool calls arrive with ``id=None``, so identity + falls back to (step_index, position, name). + """ + if call.id: + return f"id:{call.id}" + return f"pos:{step.step_index}:{pos}:{call.name}" + + async def _translate_tool_calls( + self, step: ag_types.Step + ) -> AsyncGenerator[BaseEvent, None]: + for pos, call in enumerate(step.tool_calls): + name = call.name.value if hasattr(call.name, "value") else str(call.name) + if name in self._suppressed_tool_names: + continue + + key = self._tool_key(step, call, pos) + # Redelivery of a call this turn already finished. Re-emitting it + # would show the client a duplicate card and, for client-executed + # tools, make it run the tool a second time. This guard comes first + # so a redelivered subagent step does not re-open its bracket + # either. + if key in self._completed_tool_calls: + continue + # Bookended at a run boundary while still running: suppress a second + # START/ARGS, but let the DONE branch below deliver the result. + flushed = key in self._flushed_open + if flushed and not done_status(step): + continue + + # A subagent invocation brackets the work it delegates, so it maps + # onto AG-UI's STEP_STARTED/STEP_FINISHED rather than a bare tool + # call. The bracket is structural, so it is emitted even when + # built-in tool cards are suppressed -- opened before this call's + # own events and closed after them. A step first observed at DONE + # (no preceding ACTIVE) yields only the closing half. + is_subagent = name == ag_types.BuiltinTools.START_SUBAGENT.value + subagent_name = _subagent_name(call, step) if is_subagent else "" + done = step.status == ag_types.StepStatus.DONE + if is_subagent and not done: + async for event in self.open_subagent_step(subagent_name): + yield event + + if not self._emit_builtin_tool_calls and _is_builtin(call.name): + if done: + self._completed_tool_calls.add(key) + async for event in self.close_subagent_step(subagent_name): + yield event + continue + + if key not in self._tool_call_ids: + self._tool_call_ids[key] = call.id or str(uuid.uuid4()) + tool_call_id = self._tool_call_ids[key] + + if key not in self._open_tool_calls and not flushed: + async for event in self._close_open_blocks(): + yield event + yield ToolCallStartEvent( + type="TOOL_CALL_START", + tool_call_id=tool_call_id, + tool_call_name=name, + parent_message_id=self._message_ids.get(step.step_index), + ) + self._open_tool_calls.add(key) + self._input_arg_keys[key] = set( + call.args.keys() if isinstance(call.args, dict) else () + ) + + # Antigravity hands us the whole args dict (it does not stream arg + # fragments), so emit only the delta beyond what we already sent. + # TOOL_CALL_ARGS deltas are CONCATENATED by the client + # (`function.arguments += delta`), so everything emitted for one + # call must join into exactly one JSON document. Antigravity hands + # over the whole args dict each time rather than streaming + # fragments, and at DONE it *grows* that dict with the tool's + # result -- and a grown JSON object is not a string extension of + # the smaller one, because the closing brace moves. Diffing the + # two therefore re-sent the entire dict, so the client's buffer + # became `{...}{...}`: unparseable, with the result leaked into the + # arguments. Send the args once, and let the result travel on + # TOOL_CALL_RESULT where it belongs. + args_json = _safe_json(call.args) + already = self._emitted_args.get(key) + if flushed: + # Already bookended; args after its END would be out of order. + self._emitted_args[key] = args_json + elif already is None: + yield ToolCallArgsEvent( + type="TOOL_CALL_ARGS", tool_call_id=tool_call_id, delta=args_json + ) + self._emitted_args[key] = args_json + elif args_json.startswith(already) and args_json != already: + # Genuine append-only growth (a harness that does stream + # fragments): the suffix keeps the buffer a single document. + yield ToolCallArgsEvent( + type="TOOL_CALL_ARGS", + tool_call_id=tool_call_id, + delta=args_json[len(already):], + ) + self._emitted_args[key] = args_json + + if step.status == ag_types.StepStatus.DONE: + # A flushed call already had its END emitted at the boundary; + # a second one would unbalance the client's bookkeeping. + if not flushed: + yield ToolCallEndEvent( + type="TOOL_CALL_END", tool_call_id=tool_call_id + ) + self._open_tool_calls.discard(key) + self._flushed_open.discard(key) + self._completed_tool_calls.add(key) + # Built-in tools are executed by the harness, which reports the + # outcome by adding keys to the args payload at DONE rather than + # emitting a separate result step. Some tools (view_file) add + # nothing at all -- their output goes straight to the model. We + # still close the call with an (empty) result so clients mark it + # complete instead of leaving it spinning. + yield ToolCallResultEvent( + type="TOOL_CALL_RESULT", + message_id=str(uuid.uuid4()), + tool_call_id=tool_call_id, + content=_extract_builtin_result( + call, self._input_arg_keys.get(key, set()), tool_name=name + ), + ) + # Close the bracket after the call it wraps, not before. + if is_subagent: + async for event in self.close_subagent_step(subagent_name): + yield event + + async def _translate_structured_output( + self, step: ag_types.Step + ) -> AsyncGenerator[BaseEvent, None]: + payload = step.structured_output + if self._structured_output_as == STRUCTURED_OUTPUT_AS_CUSTOM: + yield CustomEvent( + type="CUSTOM", name="antigravity.structured_output", value=payload + ) + return + if not isinstance(payload, dict): + # STATE_SNAPSHOT's snapshot is free-form, but wrapping a scalar keeps + # client reducers from having to special-case non-objects. + payload = {"structured_output": payload} + yield StateSnapshotEvent(type="STATE_SNAPSHOT", snapshot=payload) + + # ------------------------------------------------------------------ + # Subagents + # ------------------------------------------------------------------ + + async def open_subagent_step(self, name: str) -> AsyncGenerator[BaseEvent, None]: + async for event in self._close_open_blocks(): + yield event + if name not in self._open_steps: + yield StepStartedEvent(type="STEP_STARTED", step_name=name) + self._open_steps.add(name) + + async def close_subagent_step(self, name: str) -> AsyncGenerator[BaseEvent, None]: + if name in self._open_steps: + async for event in self._close_open_blocks(): + yield event + yield StepFinishedEvent(type="STEP_FINISHED", step_name=name) + self._open_steps.discard(name) + + +def _subagent_name(call: ag_types.ToolCall, step: ag_types.Step) -> str: + """Best-effort label for a subagent invocation. + + Steps belonging to a subagent share its ``trajectory_id`` (the part of + ``Step.id`` before the colon), which is the stable fallback when the args + carry no readable name. + """ + args = call.args if isinstance(call.args, dict) else {} + for key in ("name", "subagent", "subagent_name", "agent", "agent_name"): + value = args.get(key) + if isinstance(value, str) and value: + return value + trajectory_id = step.id.split(":")[0] if step.id else "" + return f"subagent:{trajectory_id or step.step_index}" + + +def _is_builtin(name: Any) -> bool: + try: + ag_types.BuiltinTools(name) + return True + except ValueError: + return False + + +def _safe_json(value: Any) -> str: + try: + return json.dumps(value or {}) + except (TypeError, ValueError): + return json.dumps({"_unserializable": str(value)}) + + +# Keys the harness uses to report a failure rather than a result. +_ERROR_KEYS = ("error", "err", "failure", "exception", "stderr") + + +def _extract_builtin_result( + call: ag_types.ToolCall, input_keys: set, *, tool_name: str = "" +) -> str: + """Returns a completed built-in tool's result payload. + + The harness surfaces results under tool-specific keys -- ``list_directory`` + grows a ``results`` key, ``search_web`` a different one -- so rather than + guessing names, we take whatever keys appeared *after* the call was first + observed. + + ``ToolCallResultEvent`` has no error channel, so a failure has to travel in + ``content``. It says so in words: an empty string would be + indistinguishable from a tool that legitimately produced no output (which + ``view_file`` does -- its output goes to the model out of band), and the + client would render a failed call as a completed one. + """ + args = call.args if isinstance(call.args, dict) else {} + label = tool_name or ( + call.name.value if hasattr(call.name, "value") else str(call.name) + ) + + for key in _ERROR_KEYS: + detail = args.get(key) + if detail: + return f"There was an error executing {label}: {detail}" + + produced = {k: v for k, v in args.items() if k not in input_keys} + if not produced: + return f"{label} completed without returning any output." + if len(produced) == 1: + (value,) = produced.values() + return value if isinstance(value, str) else _safe_json(value) + return _safe_json(produced) diff --git a/integrations/antigravity/python/src/ag_ui_antigravity/harness_pool.py b/integrations/antigravity/python/src/ag_ui_antigravity/harness_pool.py new file mode 100644 index 0000000000..cb86e5ac85 --- /dev/null +++ b/integrations/antigravity/python/src/ag_ui_antigravity/harness_pool.py @@ -0,0 +1,688 @@ +"""Shares one Go ``localharness`` process between many conversations. + +Why this exists +--------------- +A harness process is configured twice, at two different moments, and almost +everything this integration varies per thread lands in the *second* one: + +* ``InputConfig`` -- written to the process' stdin at ``Popen`` time, so it is + fixed for the process' whole life: ``storage_directory`` (``save_dir``) and + ``env``. +* ``HarnessConfig`` -- sent over the WebSocket in an + ``InitializeConversationEvent``, once **per conversation**: tools, system + instructions, model, capabilities, MCP servers, hooks, subagents, + ``response_schema``, ``cascade_id`` -- and ``workspaces``, so per-thread + filesystem isolation survives pooling intact. + +So N conversations can share one process as long as they agree on +``(binary_path, save_dir, env)``, which is this pool's partition key. + +Where this sits in the SDK +-------------------------- +``google/antigravity/connections/README.md`` assigns process lifecycle to the +Connection layer: ``ConnectionStrategy`` "handles process management, transport +setup, authentication, and health checking specific to a backend type". So +pooling is implemented here by overriding ``__aenter__``/``__aexit__`` on a +strategy subclass and nothing else. ``Agent``, ``Conversation``, +``LocalConnection``, the event processor and tool/hook dispatch are all used +unmodified -- notably ``Agent.__aenter__``'s mandatory-safety guard, which we +therefore cannot accidentally drop. + +Caveat worth knowing: no Google doc states that one process may host several +conversations. The wire protocol is shaped for it and ``LocalConnection`` takes +``process: Popen | None`` in its public constructor, but treat it as a capability +the harness has rather than a contract it owes us. ``max_conversations_per_process=1`` +reproduces the old one-process-per-conversation behaviour and is the escape +hatch if a future SDK breaks this. +""" + +from __future__ import annotations + +import asyncio +import collections +import logging +import os +import platform +import struct +import time +from typing import Any, Deque, Dict, List, Optional, Tuple + +import websockets +from google.antigravity.connections import connection +from google.antigravity.connections.local import event_processor, local_connection +from google.antigravity.connections.local.local_connection import ( + LocalConnectionStrategy, +) +from google.antigravity.proto import localharness_pb2 +from google.protobuf import json_format + +logger = logging.getLogger(__name__) + +try: # pragma: no cover - trivial + from importlib.metadata import version as _pkg_version + + _SDK_VERSION = _pkg_version("google-antigravity") +except Exception: # pragma: no cover - the harness only logs this + _SDK_VERSION = "unknown" + +_WS_CONNECT_ATTEMPTS = 5 +_STDERR_TAIL_LINES = 40 + +PartitionKey = Tuple[str, str, Optional[Tuple[Tuple[str, str], ...]]] + + +class HarnessPoolClosed(RuntimeError): + """Raised when a lease is requested from a pool that has been shut down.""" + + +class HarnessProcessDied(RuntimeError): + """Raised when the shared harness process exits underneath its conversations.""" + + +def _partition_key( + *, binary_path: str, save_dir: Optional[str], env: Optional[Dict[str, str]] +) -> PartitionKey: + """Groups processes by everything that is fixed at ``Popen`` time. + + Conversations may only share a process when all three agree, because these + are exactly the fields ``InputConfig`` and ``Popen`` consume. In this + integration all three are instance-level constants on ``AntigravityAgent``, + so there is one partition in practice -- keyed anyway so the invariant is + structural rather than incidental. + """ + env_key = tuple(sorted((str(k), str(v)) for k, v in env.items())) if env else None + return (binary_path, save_dir or "", env_key) + + +class _HarnessProcess: + """One ``localharness`` process, plus the conversations leased against it.""" + + def __init__( + self, + *, + process: asyncio.subprocess.Process, + port: int, + api_key: str, + key: PartitionKey, + capacity: int, + ): + self._process = process + self._port = port + self._api_key = api_key + self.key = key + self.capacity = capacity + self.leases = 0 + self.idle_since: Optional[float] = time.monotonic() + self.dead = asyncio.Event() + # Only the *tail* is kept: the harness is chatty and this exists to + # explain a crash, not to mirror its whole log. + self._stderr_tail: Deque[str] = collections.deque(maxlen=_STDERR_TAIL_LINES) + self._host: Optional[str] = None + self._stderr_task = asyncio.create_task(self._drain_stderr()) + self._monitor_task = asyncio.create_task(self._monitor()) + + # ------------------------------------------------------------------ + # Boot + # ------------------------------------------------------------------ + + @classmethod + async def start( + cls, + *, + binary_path: str, + save_dir: Optional[str], + env: Optional[Dict[str, str]], + capacity: int, + boot_timeout: float, + ) -> "_HarnessProcess": + """Boots a harness and completes its stdin/stdout config handshake. + + Mirrors ``LocalConnectionStrategy.__aenter__``, with one deliberate + difference: this uses asyncio subprocesses so booting a process never + blocks the event loop while other conversations are streaming. The SDK + does the same reads synchronously. + """ + env_map = {str(k): str(v) for k, v in (env or {}).items()} + merged_env = {**os.environ, **env_map} if env is not None else None + + input_config = localharness_pb2.InputConfig( + storage_directory=save_dir or "", + client_info=localharness_pb2.ClientInfo( + language="python", + version=_SDK_VERSION, + language_version=platform.python_version(), + os=platform.system().lower(), + os_version=platform.release(), + ), + env=env_map, + ) + + process = await asyncio.create_subprocess_exec( + binary_path, + stdin=asyncio.subprocess.PIPE, + stdout=asyncio.subprocess.PIPE, + stderr=asyncio.subprocess.PIPE, + env=merged_env, + ) + try: + blob = input_config.SerializeToString() + # 4-byte little-endian length prefix, then the serialized config. + process.stdin.write(struct.pack(" localharness_pb2.OutputConfig: + raw_len = await process.stdout.readexactly(4) + (length,) = struct.unpack(" str: + """Best-effort stderr read for a boot failure message.""" + if process.stderr is None: + return "" + try: + data = await asyncio.wait_for(process.stderr.read(), timeout=2) + return data.decode("utf-8", "replace").strip() + except (asyncio.TimeoutError, Exception): # pragma: no cover - diagnostics + return "" + + # ------------------------------------------------------------------ + # Sockets + # ------------------------------------------------------------------ + + async def open_socket(self) -> Any: + """Opens one WebSocket to this process, for one conversation. + + Retries with the SDK's own shape: ``localhost`` first, ``127.0.0.1`` as + a fallback (some environments do not resolve ``localhost``), with + exponential backoff, because a freshly booted harness needs a moment to + start listening. + """ + if self.dead.is_set(): + raise HarnessProcessDied( + "The shared Antigravity harness process is no longer running." + ) + hosts = [self._host] if self._host else ["localhost", "127.0.0.1"] + last: Optional[BaseException] = None + for attempt in range(_WS_CONNECT_ATTEMPTS): + for host in hosts: + try: + ws = await websockets.connect( + f"ws://{host}:{self._port}/", + additional_headers={"x-goog-api-key": self._api_key}, + max_size=None, + ) + except (OSError, websockets.WebSocketException) as exc: + last = exc + else: + self._host = host + return ws + await asyncio.sleep(0.1 * (2**attempt)) + raise HarnessProcessDied( + f"Could not open a WebSocket to the pooled harness on port " + f"{self._port} after {_WS_CONNECT_ATTEMPTS} attempts. " + f"Stderr tail: {self.stderr_tail()}" + ) from last + + # ------------------------------------------------------------------ + # Health + # ------------------------------------------------------------------ + + async def _drain_stderr(self) -> None: + """Owns the process' stderr. + + The unpooled path ends with ``connection._start_stderr_reader(...)``, so + one connection drains it. With N conversations there is no owning + connection, so the pool must -- otherwise harness diagnostics vanish + exactly when a crash needs explaining. + """ + if self._process.stderr is None: # pragma: no cover - always a pipe here + return + try: + while True: + line = await self._process.stderr.readline() + if not line: + return + text = line.decode("utf-8", "replace").rstrip() + self._stderr_tail.append(text) + logger.debug("[harness:%d] %s", self._port, text) + except asyncio.CancelledError: + raise + except Exception: # pragma: no cover - diagnostics must never crash us + logger.debug("Stopped reading harness stderr", exc_info=True) + + async def _monitor(self) -> None: + """Marks the process dead the moment it exits. + + Conversations learn about it through their own closed WebSocket, but the + pool must stop placing new leases here regardless. + """ + try: + code = await self._process.wait() + except asyncio.CancelledError: + raise + self.dead.set() + if self.leases: + logger.error( + "The pooled Antigravity harness on port %d exited (code %s) with " + "%d live conversation(s). Stderr tail: %s", + self._port, + code, + self.leases, + self.stderr_tail(), + ) + else: + logger.info( + "The pooled Antigravity harness on port %d exited (code %s)", + self._port, + code, + ) + + def stderr_tail(self) -> str: + return " | ".join(self._stderr_tail) + + @property + def has_capacity(self) -> bool: + return not self.dead.is_set() and self.leases < self.capacity + + # ------------------------------------------------------------------ + # Teardown + # ------------------------------------------------------------------ + + async def terminate(self) -> None: + """Stops the process the way the SDK does: close stdin, then escalate.""" + for task in (self._monitor_task, self._stderr_task): + task.cancel() + if self._process.returncode is None: + try: + if self._process.stdin is not None: + self._process.stdin.close() + except Exception: # pragma: no cover - already-broken pipe + logger.debug("Could not close harness stdin", exc_info=True) + try: + await asyncio.wait_for(self._process.wait(), timeout=5) + except asyncio.TimeoutError: + self._process.terminate() + try: + await asyncio.wait_for(self._process.wait(), timeout=1) + except asyncio.TimeoutError: + self._process.kill() + await self._process.wait() + self.dead.set() + for task in (self._monitor_task, self._stderr_task): + try: + await task + except (asyncio.CancelledError, Exception): + pass + + +class HarnessLease: + """One conversation's claim on a slot of a shared harness process.""" + + def __init__(self, pool: "HarnessPool", process: _HarnessProcess): + self._pool = pool + self._process = process + self._released = False + + @property + def process_dead(self) -> asyncio.Event: + return self._process.dead + + async def open_socket(self) -> Any: + return await self._process.open_socket() + + def stderr_tail(self) -> str: + return self._process.stderr_tail() + + async def release(self) -> None: + """Returns the slot. Idempotent: the strategy releases on both paths.""" + if self._released: + return + self._released = True + await self._pool._release(self._process) + + +class HarnessPool: + """Hands out conversation slots on shared ``localharness`` processes.""" + + def __init__( + self, + *, + max_conversations_per_process: int = 8, + idle_grace_seconds: float = 30.0, + boot_timeout_seconds: float = 60.0, + ): + """Creates a pool. + + Args: + max_conversations_per_process: Slots per process. Chosen for blast + radius -- one dead process takes every conversation on it -- not for + memory, where the ceiling is far higher. ``1`` reproduces + one-process-per-conversation. + idle_grace_seconds: How long a process with no conversations is kept + before being reaped, so a burst of short sessions does not thrash + process startup. + """ + if max_conversations_per_process < 1: + raise ValueError( + "max_conversations_per_process must be at least 1, got " + f"{max_conversations_per_process}" + ) + self._capacity = max_conversations_per_process + self._idle_grace = idle_grace_seconds + self._boot_timeout = boot_timeout_seconds + self._lock = asyncio.Lock() + self._processes: Dict[PartitionKey, List[_HarnessProcess]] = {} + self._closed = False + self._reaper: Optional[asyncio.Task] = None + + # A pool is a handle on live OS processes, so copying one is never + # meaningful -- the copy would hand out leases on processes the original + # believes it owns. This is not hypothetical: ``Agent.__init__`` runs + # ``config.model_copy(deep=True)``, which silently gave every Agent its own + # pool and defeated pooling entirely until these were added. + def __copy__(self) -> "HarnessPool": + return self + + def __deepcopy__(self, memo: Dict[int, Any]) -> "HarnessPool": + memo[id(self)] = self + return self + + # ------------------------------------------------------------------ + # Leases + # ------------------------------------------------------------------ + + async def acquire( + self, + *, + binary_path: str, + save_dir: Optional[str] = None, + env: Optional[Dict[str, str]] = None, + ) -> HarnessLease: + """Places a conversation on a process with a free slot, booting if none.""" + if self._closed: + raise HarnessPoolClosed("The Antigravity harness pool is shut down.") + key = _partition_key(binary_path=binary_path, save_dir=save_dir, env=env) + async with self._lock: + bucket = self._processes.setdefault(key, []) + # Drop any process that died since we last looked before placing. + bucket[:] = [p for p in bucket if not p.dead.is_set()] + process = next((p for p in bucket if p.has_capacity), None) + if process is None: + process = await _HarnessProcess.start( + binary_path=binary_path, + save_dir=save_dir, + env=env, + capacity=self._capacity, + boot_timeout=self._boot_timeout, + ) + bucket.append(process) + process.leases += 1 + process.idle_since = None + self._ensure_reaper() + return HarnessLease(self, process) + + async def _release(self, process: _HarnessProcess) -> None: + async with self._lock: + process.leases = max(0, process.leases - 1) + if process.leases == 0: + process.idle_since = time.monotonic() + if process.dead.is_set(): + self._forget(process) + + def _forget(self, process: _HarnessProcess) -> None: + bucket = self._processes.get(process.key) + if bucket and process in bucket: + bucket.remove(process) + if bucket is not None and not bucket: + self._processes.pop(process.key, None) + + # ------------------------------------------------------------------ + # Reaping + # ------------------------------------------------------------------ + + def _ensure_reaper(self) -> None: + if self._reaper is None or self._reaper.done(): + self._reaper = asyncio.create_task(self._reap_loop()) + + async def _reap_loop(self) -> None: + # Half the grace period, floored only enough to avoid a busy loop -- + # a higher floor would silently override a short configured grace. + interval = max(0.1, self._idle_grace / 2) + while not self._closed: + try: + await asyncio.sleep(interval) + await self._reap_once() + except asyncio.CancelledError: + raise + except Exception: # pragma: no cover - a reap failure must not kill the loop + logger.exception("Error reaping idle Antigravity harnesses") + + async def _reap_once(self) -> None: + now = time.monotonic() + doomed: List[_HarnessProcess] = [] + async with self._lock: + for bucket in list(self._processes.values()): + for process in list(bucket): + if process.leases: + continue + if process.dead.is_set() or ( + process.idle_since is not None + and now - process.idle_since > self._idle_grace + ): + self._forget(process) + doomed.append(process) + for process in doomed: + await process.terminate() + if doomed: + logger.info("Reaped %d idle Antigravity harness process(es)", len(doomed)) + + # ------------------------------------------------------------------ + # Lifecycle + # ------------------------------------------------------------------ + + async def shutdown(self) -> None: + """Terminates every process, including ones still holding conversations.""" + self._closed = True + if self._reaper is not None: + self._reaper.cancel() + try: + await self._reaper + except (asyncio.CancelledError, Exception): + pass + self._reaper = None + async with self._lock: + processes = [p for bucket in self._processes.values() for p in bucket] + self._processes.clear() + for process in processes: + await process.terminate() + + def stats(self) -> Dict[str, Any]: + processes = [p for bucket in self._processes.values() for p in bucket] + return { + "processes": len(processes), + "conversations": sum(p.leases for p in processes), + "max_conversations_per_process": self._capacity, + "partitions": len(self._processes), + } + + +# ---------------------------------------------------------------------- +# The strategy seam +# ---------------------------------------------------------------------- + + +class PooledStrategy(connection.ConnectionStrategy): + """A ``ConnectionStrategy`` that shares a harness process instead of owning one. + + This replaces only the backend *lifecycle* -- the two methods whose + documented job it is -- and delegates everything else to the strategy the + SDK built. Config translation, the event processor, tool and hook dispatch, + ``Agent``, ``Conversation`` and ``LocalConnection`` are all used unmodified. + + A wrapper rather than a subclass for two reasons: ``create_strategy`` + constructs its strategy inline with fifteen keyword arguments, and forking + that list here would silently drift on an SDK upgrade; and CPython refuses + ``__class__`` assignment between these classes ("object layout differs"), so + repointing an already-built strategy is not available either. + """ + + def __init__( + self, inner: Any, *, pool: HarnessPool, init_timeout: float = 60.0 + ): + self._inner = inner + self._pool = pool + self._init_timeout = init_timeout + self._lease: Optional[HarnessLease] = None + + def __getattr__(self, name: str) -> Any: + # Only reached for attributes this wrapper does not define. + return getattr(self._inner, name) + + @property + def inner(self) -> Any: + return self._inner + + @property + def debug_config(self) -> Any: + return self._inner.debug_config + + def connect(self) -> Any: + return self._inner.connect() + + async def __aenter__(self) -> None: + inner = self._inner + inner._validate_connection() + # Polymorphic on purpose: the OpenAI strategy overrides this. + harness_config = inner._build_harness_config() + if not inner._conversation_id: + # An empty cascade_id tells the harness to mint a new conversation. + harness_config.ClearField("cascade_id") + + lease = await self._pool.acquire( + binary_path=inner._binary_path, + save_dir=inner._save_dir, + env=inner._env, + ) + self._lease = lease + ws = None + try: + ws = await lease.open_socket() + await ws.send( + json_format.MessageToJson( + localharness_pb2.InitializeConversationEvent(config=harness_config) + ) + ) + raw = await asyncio.wait_for(ws.recv(), timeout=self._init_timeout) + out = localharness_pb2.OutputEvent() + json_format.Parse(raw, out) + response = out.initialize_conversation_response + # Rehydrates history for cold resume. preserving_proto_field_name + # and the LocalConnectionStep hop are how the SDK does it; getting + # either wrong breaks resume in a way fresh-conversation tests miss. + initial_history = [ + event_processor.LocalConnectionStep.from_dict( + json_format.MessageToDict(step, preserving_proto_field_name=True) + ) + for step in response.history + ] + except BaseException as exc: + # The unpooled path calls process.kill() here. Doing that would + # destroy every sibling conversation on this process. + if ws is not None: + try: + await asyncio.wait_for(ws.close(), timeout=1) + except (asyncio.TimeoutError, Exception): + pass + self._lease = None + await lease.release() + if isinstance(exc, Exception): + raise RuntimeError( + "Failed to initialize a conversation on the pooled " + f"Antigravity harness. Stderr tail: {lease.stderr_tail()}" + ) from exc + raise + + # Set on the inner strategy so its own connect() keeps working. + inner._connection = local_connection.LocalConnection( + process=None, # pooled: this connection must not own the process + ws=ws, + tool_runner=inner._tool_runner, + hook_runner=inner._hook_runner, + initial_history=initial_history, + env=inner._env, + debug_config=inner._debug_config, + ) + # No _start_stderr_reader: stderr is process-wide and the pool drains it. + + async def __aexit__(self, exc_type, exc_val, exc_tb) -> None: + inner = self._inner + try: + if getattr(inner, "_connection", None) is not None: + # Closes this conversation's WebSocket only, because process is + # None -- LocalConnection.disconnect() guards every process + # operation on it. + await inner._connection.disconnect() + inner._connection = None + finally: + lease, self._lease = self._lease, None + if lease is not None: + await lease.release() + + +def to_pooled(strategy: Any, *, pool: HarnessPool) -> PooledStrategy: + """Wraps a freshly built strategy so it shares a process. + + Refuses anything whose startup we would be bypassing. Two checks, both + deliberate: + + * it must be a ``LocalConnectionStrategy`` (the OpenAI strategy subclasses + it), since the pooled path reproduces exactly that class' handshake; + * it must not override ``__aenter__``, because that would mean it does + backend setup this wrapper knows nothing about. ``LiteRTConnectionStrategy`` + is precisely that case -- it boots an OpenAI server first. + """ + if not isinstance(strategy, LocalConnectionStrategy): + raise RuntimeError( + "google-antigravity changed which connection strategy it builds: " + f"expected a LocalConnectionStrategy, got {type(strategy).__name__}. " + "Harness pooling reproduces that class' startup handshake, so it " + "cannot safely pool this one. Re-check harness_pool.py." + ) + if type(strategy).__aenter__ is not LocalConnectionStrategy.__aenter__: + raise RuntimeError( + f"{type(strategy).__name__} overrides __aenter__, so it performs " + "backend startup that harness pooling would silently skip. Pool " + "this strategy only after reproducing that startup, or construct " + "the agent with max_conversations_per_process=1." + ) + return PooledStrategy(strategy, pool=pool) diff --git a/integrations/antigravity/python/src/ag_ui_antigravity/session_manager.py b/integrations/antigravity/python/src/ag_ui_antigravity/session_manager.py new file mode 100644 index 0000000000..f18cb96d4d --- /dev/null +++ b/integrations/antigravity/python/src/ag_ui_antigravity/session_manager.py @@ -0,0 +1,415 @@ +"""Keeps a live Antigravity session per AG-UI ``thread_id``. + +AG-UI is one run per HTTP POST. An Antigravity ``Conversation`` is a long-lived +Go subprocess doing real file and shell work. Bridging the two is the bulk of +this integration, and it has two distinct resume modes: + +``hot resume`` (required for HITL) + While a hook or custom tool is parked, the subprocess *and its blocked + coroutine* must stay in memory. A suspended coroutine cannot be serialized, + so mid-decision state only exists in-process. Parked sessions therefore get + a much longer grace period than idle ones -- but not an exemption, or a user + who closes the tab mid-request pins a Go subprocess for good. + +``cold resume`` (plain multi-turn) + A recycled session with nothing parked is rebuilt from the SDK's own + ``conversation_id`` + ``session_continuation_mode=RESUME`` + ``save_dir``. + +Sessions are also keyed on the client's tool signature: Antigravity fixes the +tool list in the harness config at connect time and exposes no way to update it +mid-session, so a client that changes its ``tools`` between runs forces a +rebuild (cold resume) rather than silently running with a stale tool list. +""" + +from __future__ import annotations + +import asyncio +import contextlib +import hashlib +import json +import logging +import time +from dataclasses import dataclass, field +from typing import Any, Callable, Dict, List, Optional + +from google.antigravity import Agent +from google.antigravity import types as ag_types + +from .ui_bridge import UIBridge + +logger = logging.getLogger(__name__) + + +class SessionLimitExceeded(RuntimeError): + """Raised when the configured concurrent-session cap is reached.""" + + +@dataclass +class AntigravitySession: + """One live Antigravity process bound to an AG-UI thread.""" + + thread_id: str + agent: Agent + bridge: UIBridge + tool_signature: str + conversation_id: Optional[str] = None + last_activity: float = field(default_factory=time.monotonic) + # The live `receive_steps()` iterator, kept across a park. The Antigravity + # turn spans both HTTP runs, so tearing the iterator down and starting a + # fresh one on resume makes the harness re-deliver steps we already + # translated -- the same tool call would be replayed to the client forever. + step_iter: Optional[Any] = None + # An `__anext__()` future that was already in flight when the run parked. + # It must be awaited, not cancelled: cancelling it destroys the step the + # harness is mid-way through delivering. + pending_step: Optional[asyncio.Future] = None + # Translator state (message ids, which steps/tool calls are already done) + # is per-TURN, not per-run, for the same reason as `step_iter`. + translator: Optional[Any] = None + # Ids of user messages already sent to the harness. The harness owns the + # conversation history, so a message must be forwarded exactly once -- + # and the AG-UI client resends the whole transcript every run. + forwarded_prompts: set = field(default_factory=set) + # Set when the manager tears this session down. A run holds a direct + # reference and can be suspended in an await at that moment, so it has to + # be able to notice that the session it is using is no longer live. + closed: bool = False + # Serializes runs on the same thread; AG-UI clients can retry or + # double-submit, and the SDK rejects concurrent receive_steps(). + lock: asyncio.Lock = field(default_factory=asyncio.Lock) + + def touch(self) -> None: + self.last_activity = time.monotonic() + + def raise_if_closed(self) -> None: + """Aborts a run whose session was torn down underneath it. + + A forced close removes the session from the manager while a run may be + suspended in an await. Carrying on would drive a shut-down harness, + park requests on a bridge that has already been failed, and leave all + of it on an object no sweeper can ever reach again. + """ + if self.closed: + raise ag_types.AntigravityCancelledError( + "The Antigravity session was closed while the run was in progress." + ) + + async def reset_stream(self) -> Optional[BaseException]: + """Retires all per-turn state, returning any unobserved harness failure. + + Drops the ``receive_steps()`` iterator, any in-flight ``__anext__()``, + the translator, and the bridge's frontend-tool claims. Called when the + turn ends normally, when it errors, and when a new user prompt abandons + a parked one -- so it is not only an end-of-turn hook. + """ + iterator, self.step_iter = self.step_iter, None + pending, self.pending_step = self.pending_step, None + self.translator = None + self.bridge.reset_turn() + + failure: Optional[BaseException] = None + if pending is not None: + if pending.done(): + # A harness failure that landed while the run was parked. Left + # unretrieved it becomes a bare "Task exception was never + # retrieved" at GC, with the real error lost. + if not pending.cancelled(): + raised = pending.exception() + # StopAsyncIteration is how the iterator reports a turn + # that simply ended -- routine when the harness backgrounds + # a slow tool and goes idle while we are parked. Treating it + # as a failure would abort the user's next message. + if not isinstance(raised, StopAsyncIteration): + failure = raised + else: + pending.cancel() + # Let the cancellation actually run: aclose() on a generator + # whose __anext__ is still suspended raises "already running", + # and returning without ever yielding leaves the SDK's + # _is_receiving set for the next send(). + with contextlib.suppress(asyncio.CancelledError): + await pending + + if iterator is not None and hasattr(iterator, "aclose"): + try: + await iterator.aclose() + except Exception: + # A stream left open can duplicate or error on the next turn, + # so this is worth seeing in production, not just at DEBUG. + logger.warning("Error closing step iterator", exc_info=True) + return failure + + @property + def conversation(self): + return self.agent.conversation + + @property + def is_parked(self) -> bool: + """True while a hook or frontend tool is awaiting the client.""" + return self.bridge.has_pending + + +def tool_signature(tool_names: List[str]) -> str: + """Stable fingerprint of the client's tool set.""" + payload = json.dumps(sorted(tool_names)) + return hashlib.sha256(payload.encode()).hexdigest()[:16] + + +class SessionManager: + """Owns the ``thread_id -> live Conversation`` map, with idle cleanup.""" + + def __init__( + self, + *, + session_timeout_seconds: int = 1800, + cleanup_interval_seconds: int = 60, + max_sessions: int = 50, + parked_timeout_seconds: int = 7200, + ): + self._sessions: Dict[str, AntigravitySession] = {} + self._session_timeout = session_timeout_seconds + # A parked session is pinned so its suspended coroutine survives, but + # an unanswered request must not pin it forever: a user who closes the + # tab mid-HITL would otherwise hold a Go subprocess for the process + # lifetime, and `max_sessions` such tabs wedge the server for good. + self._parked_timeout = parked_timeout_seconds + self._cleanup_interval = cleanup_interval_seconds + self._max_sessions = max_sessions + self._cleanup_task: Optional[asyncio.Task] = None + self._lock = asyncio.Lock() + + # ------------------------------------------------------------------ + # Lifecycle + # ------------------------------------------------------------------ + + def start(self) -> None: + if self._cleanup_task is None or self._cleanup_task.done(): + self._cleanup_task = asyncio.create_task(self._cleanup_loop()) + + async def stop(self) -> None: + if self._cleanup_task: + self._cleanup_task.cancel() + with contextlib.suppress(asyncio.CancelledError): + await self._cleanup_task + self._cleanup_task = None + for thread_id in list(self._sessions): + # Shutdown must not leave a Go subprocess behind, even mid-run. + await self.close(thread_id, force=True) + + async def _cleanup_loop(self) -> None: + while True: + try: + await asyncio.sleep(self._cleanup_interval) + await self.sweep() + except asyncio.CancelledError: + raise + except Exception: # keep the sweeper alive across a transient failure + logger.exception("Session cleanup sweep failed") + + async def sweep(self) -> int: + """Closes reclaimable sessions (see ``_expired``).""" + now = time.monotonic() + candidates = [tid for tid, s in self._sessions.items() if self._expired(s, now)] + reclaimed = 0 + for thread_id in candidates: + async with self._lock: + # Re-checked under the lock: this loop awaits between closes, so + # a candidate can have picked up a run since the snapshot. + if thread_id not in self._sessions: + continue + if not self._expired(self._sessions[thread_id], time.monotonic()): + continue + logger.info("Closing idle Antigravity session %s", thread_id) + await self._close_locked(thread_id) + reclaimed += 1 + return reclaimed + + def _expired(self, session: "AntigravitySession", now: float) -> bool: + """True when a session may be reclaimed. + + Parked sessions get a much longer grace period rather than an exemption + -- the suspended coroutine must survive a human thinking, not a human + who never comes back. + """ + # A run in flight holds the lock. Reclaiming underneath it cancels the + # `__anext__` the loop is awaiting, and CancelledError is a + # BaseException -- it escapes every `except Exception` between here and + # the SSE writer, so the client gets an unclosed message and a stream + # that simply stops, with no terminal event at all. + if session.lock.locked(): + return False + idle = now - session.last_activity + if session.is_parked: + # Never shorter than the ordinary timeout: a parked session is + # waiting on a human and deserves at least as long as an idle one. + return idle > max(self._parked_timeout, self._session_timeout) + return idle > self._session_timeout + + # ------------------------------------------------------------------ + # Access + # ------------------------------------------------------------------ + + def get(self, thread_id: str) -> Optional[AntigravitySession]: + return self._sessions.get(thread_id) + + async def get_or_create( + self, + thread_id: str, + *, + signature: str, + factory: Callable[[UIBridge, Optional[str]], Agent], + bridge_factory: Callable[[], UIBridge] = UIBridge, + ) -> AntigravitySession: + """Returns the live session for ``thread_id``, creating it if needed. + + Args: + thread_id: AG-UI thread id. + signature: Fingerprint of the client's tool set. A mismatch against a + non-parked session triggers a cold-resume rebuild. + factory: Builds a fresh ``Agent`` given the session's bridge and, for + cold resume, the previous ``conversation_id``. + """ + async with self._lock: + recycled: Optional[str] = None + carried: set = set() + existing = self._sessions.get(thread_id) + if existing is not None: + if existing.tool_signature == signature or existing.is_parked: + if existing.tool_signature != signature: + logger.warning( + "Tool set changed for parked thread %s; keeping the " + "live session so the parked coroutine survives.", + thread_id, + ) + existing.touch() + return existing + if existing.lock.locked(): + # A run is streaming on this session. Tearing it down here + # cancels the future that run awaits, and CancelledError is + # a BaseException -- it escapes to the SSE writer and the + # client gets no terminal event. Defer: the in-flight run + # keeps the old tool list, the next one rebuilds. + logger.warning( + "Tool set changed for thread %s while a run is in " + "flight; deferring the rebuild to the next run.", + thread_id, + ) + existing.touch() + return existing + logger.info( + "Tool set changed for thread %s; rebuilding via cold resume.", + thread_id, + ) + recycled, carried = await self._close_locked( + thread_id, keep_conversation_id=True + ) + + if len(self._sessions) >= self._max_sessions: + # Try to make room before refusing. + await self._sweep_locked() + if len(self._sessions) >= self._max_sessions: + raise SessionLimitExceeded( + f"Refusing to start a new Antigravity session: " + f"{len(self._sessions)} of {self._max_sessions} in use." + ) + + bridge = bridge_factory() + agent = factory(bridge, recycled) + await agent.__aenter__() + session = AntigravitySession( + thread_id=thread_id, + agent=agent, + bridge=bridge, + tool_signature=signature, + # Always None in practice: the SDK only assigns a conversation + # id once a message has been exchanged, and nothing has been + # yet. Kept because _close_locked reads it first and falls back + # to the live agent, which is where the real value lives -- read + # `session.agent.conversation_id`, not this, when you want it. + conversation_id=agent.conversation_id, + # Carried across a cold resume: the rebuilt harness restores the + # same conversation, so those prompts are still in its history. + forwarded_prompts=carried, + ) + self._sessions[thread_id] = session + logger.info( + "Started Antigravity session for thread %s (%d live)", + thread_id, + len(self._sessions), + ) + return session + + async def close(self, thread_id: str, *, force: bool = True) -> None: + """Closes a session. Explicit by default, so it does not silently skip.""" + async with self._lock: + await self._close_locked(thread_id, force=force) + + async def _close_locked( + self, + thread_id: str, + *, + keep_conversation_id: bool = False, + force: bool = False, + ) -> tuple: + """Closes a session, returning ``(conversation_id, forwarded_prompts)``. + + Both are needed to cold-resume: the harness restores the conversation, + so its history already contains the prompts we forwarded. + + Reclamation is refused while a run holds ``session.lock``. The check + lives here, under the manager lock, because ``sweep()`` picks its + victims and then awaits between closes -- a session can go live in that + window. Closing one underneath its run cancels the future the run is + awaiting, and ``CancelledError`` is a ``BaseException``: it escapes + every ``except Exception`` up to the SSE writer, so the client gets no + terminal event at all. ``force`` is for shutdown, which must tear down + even a busy session rather than leak its subprocess. + """ + session = self._sessions.get(thread_id) + if session is None: + return (None, set()) + if not force and session.lock.locked(): + logger.debug( + "Not reclaiming session %s: a run is in flight", thread_id + ) + return (None, set()) + self._sessions.pop(thread_id, None) + # Flagged before the awaits below: a run suspended inside one of them + # must not resume onto a session the manager has abandoned. + session.closed = True + recycled = None + carried: set = set() + if keep_conversation_id: + recycled = session.conversation_id or getattr( + session.agent, "conversation_id", None + ) + carried = set(session.forwarded_prompts) + session.bridge.fail_all( + RuntimeError("The Antigravity session was closed before the client replied.") + ) + await session.reset_stream() + try: + await session.agent.__aexit__(None, None, None) + except Exception: # teardown best effort + logger.exception("Error shutting down Antigravity session %s", thread_id) + return (recycled, carried) + + async def _sweep_locked(self) -> None: + now = time.monotonic() + for tid in [t for t, s in self._sessions.items() if self._expired(s, now)]: + await self._close_locked(tid) + + # ------------------------------------------------------------------ + # Introspection + # ------------------------------------------------------------------ + + def stats(self) -> Dict[str, Any]: + return { + "live_sessions": len(self._sessions), + "parked_sessions": sum(1 for s in self._sessions.values() if s.is_parked), + "max_sessions": self._max_sessions, + "session_timeout_seconds": self._session_timeout, + "parked_timeout_seconds": max( + self._parked_timeout, self._session_timeout + ), + } diff --git a/integrations/antigravity/python/src/ag_ui_antigravity/ui_bridge.py b/integrations/antigravity/python/src/ag_ui_antigravity/ui_bridge.py new file mode 100644 index 0000000000..e65ee9d80e --- /dev/null +++ b/integrations/antigravity/python/src/ag_ui_antigravity/ui_bridge.py @@ -0,0 +1,652 @@ +"""The seam between the Antigravity harness and the AG-UI client. + +Every human-in-the-loop case in this integration shares one primitive: + + emit AG-UI events into the *current* run's stream, park an asyncio.Future + in the session, await it, and resolve it from the *next* run's input. + +That works because Antigravity's custom tools and hooks are async, awaited, and +carry no timeout on either the Python or the Go side -- the harness stays alive +on the awaited coroutine while the SSE response for run N is already closed +(verified by ``tests/test_parking_gate.py``; see the README). + +Three cases are wired here: + +``frontend tools`` + Each ``RunAgentInput.tools`` entry becomes a custom async Antigravity tool + built from its JSON Schema. Calling it emits TOOL_CALL_START/ARGS/END and + parks; the client returns a ``ToolMessage`` next run and its content becomes + the tool's return value, which the harness feeds to the model natively. + +``model questions`` + ``OnInteractionHook`` receives an ``AskQuestionInteractionSpec`` and parks. + The run ends with a ``RunFinishedInterruptOutcome``; the client answers via + ``RunAgentInput.resume``. + +``tool approval`` + ``PreToolCallDecideHook`` parks on an approval interrupt and returns + ``HookResult(allow=...)``. Registering it also satisfies the SDK's mandatory + safety guard, so write/MCP tools no longer require a separate policy. + +Two details the SDK forces on us: + +* ``ToolCall.id`` is ``None`` inside the decide hook, so approvals mint their + own correlation id. +* Tool dispatch is concurrent (``asyncio.gather`` in the SDK's ToolRunner), so + the registry must hold multiple simultaneous pending requests per session -- + though at most one per frontend-tool *name*, see ``_turn_results``. +""" + +from __future__ import annotations + +import asyncio +import functools +import inspect +import json +import logging +import uuid +from dataclasses import dataclass, field +from typing import Any, Callable, Dict, List, Optional, Sequence + +from ag_ui.core import ( + BaseEvent, + Interrupt, + Tool as AGUITool, + ToolCallArgsEvent, + ToolCallEndEvent, + ToolCallResultEvent, + ToolCallStartEvent, +) +from google.antigravity import types as ag_types +from google.antigravity.hooks import hooks as ag_hooks +from google.antigravity.tools.tool_runner import ToolWithSchema + +logger = logging.getLogger(__name__) + +KIND_FRONTEND_TOOL = "frontend_tool" +KIND_QUESTION = "question" +KIND_APPROVAL = "approval" + +# Handed to a parked tool/hook when the user moves on instead of answering. +# Distinct from _CANCELLED: the user did not decline, they changed direction, +# and telling the model "you were cancelled" would have it report a fiction. +_ABANDONED = ( + "The user sent a new message instead of answering this request, so it was " + "not completed. Do not report it as declined." +) + + +@dataclass +class PendingRequest: + """One parked request awaiting a client answer.""" + + id: str + kind: str + future: asyncio.Future + tool_call_id: Optional[str] = None + tool_name: Optional[str] = None + interrupt: Optional[Interrupt] = None + metadata: Dict[str, Any] = field(default_factory=dict) + + +class UIBridge: + """Per-session event queue plus futures registry. + + One instance lives for as long as the session does -- it must outlive any + individual run, because that is precisely what "parking across two HTTP + runs" means. + """ + + def __init__(self, *, deduplicate_tool_calls: bool = True) -> None: + self._queue: asyncio.Queue[BaseEvent] = asyncio.Queue() + self._pending: Dict[str, PendingRequest] = {} + # tool_call_id -> pending id, for resolving ToolMessages. + self._by_tool_call: Dict[str, str] = {} + self._frontend_tool_names: set[str] = set() + self._server_tool_names: set[str] = set() + self._deduplicate = deduplicate_tool_calls + # tool name -> (args, Future[result]) claimed by its first dispatch + # this turn. Keyed on name alone, so a concurrent call with *different* + # arguments also waits on it rather than dispatching a second time. + self._turn_results: Dict[str, tuple] = {} + + def reset_turn(self) -> None: + """Retires the per-turn frontend-tool claims. + + Safe to simply drop: each dispatcher holds its own claim future in a + local and settles that object, so clearing the dict cannot strand a + waiter. + """ + self._turn_results.clear() + + # ------------------------------------------------------------------ + # Queue plumbing + # ------------------------------------------------------------------ + + def emit(self, event: BaseEvent) -> None: + self._queue.put_nowait(event) + + def drain(self) -> List[BaseEvent]: + """Removes and returns every currently queued event.""" + events: List[BaseEvent] = [] + while True: + try: + events.append(self._queue.get_nowait()) + except asyncio.QueueEmpty: + return events + + @property + def has_pending(self) -> bool: + return any(not p.future.done() for p in self._pending.values()) + + def pending_interrupts(self) -> List[Interrupt]: + return [ + p.interrupt + for p in self._pending.values() + if p.interrupt is not None and not p.future.done() + ] + + @property + def frontend_tool_names(self) -> set[str]: + return set(self._frontend_tool_names) + + @property + def server_tool_names(self) -> set[str]: + return set(self._server_tool_names) + + # ------------------------------------------------------------------ + # Registry + # ------------------------------------------------------------------ + + def _park(self, request: PendingRequest) -> asyncio.Future: + self._pending[request.id] = request + if request.tool_call_id: + self._by_tool_call[request.tool_call_id] = request.id + return request.future + + def resolve_tool_call(self, tool_call_id: str, value: Any) -> bool: + """Resolves a parked frontend tool with a client-supplied result.""" + pending_id = self._by_tool_call.get(tool_call_id) + if pending_id is None: + return False + return self._resolve(pending_id, value) + + def resolve_interrupt(self, interrupt_id: str, payload: Any, cancelled: bool) -> bool: + """Resolves a parked question/approval from a ``ResumeEntry``.""" + pending = self._pending.get(interrupt_id) + if pending is None: + return False + if cancelled: + return self._resolve(pending.id, _CANCELLED) + return self._resolve(pending.id, payload) + + def _resolve(self, pending_id: str, value: Any) -> bool: + pending = self._pending.get(pending_id) + if pending is None or pending.future.done(): + return False + pending.future.set_result(value) + return True + + def pending_ids(self) -> set: + """Ids of requests still awaiting a client answer.""" + return {p.id for p in self._pending.values() if not p.future.done()} + + def abandon_pending(self) -> int: + """Releases every parked request because the user moved on. + + Resolves rather than raises: the harness is blocked inside a tool or + hook, and a plain answer lets it wind the old turn down, whereas an + exception would surface to the model as a tool crash. + """ + released = 0 + for pending in self._pending.values(): + if not pending.future.done(): + pending.future.set_result(_ABANDONED) + released += 1 + self._pending.clear() + self._by_tool_call.clear() + return released + + def fail_all(self, exc: BaseException) -> None: + """Fails every parked request -- used when a session is torn down.""" + for pending in self._pending.values(): + if not pending.future.done(): + pending.future.set_exception(exc) + self._pending.clear() + self._by_tool_call.clear() + + def forget_resolved(self) -> None: + for pid in [p.id for p in self._pending.values() if p.future.done()]: + pending = self._pending.pop(pid, None) + if pending and pending.tool_call_id: + self._by_tool_call.pop(pending.tool_call_id, None) + + # ------------------------------------------------------------------ + # 1. Frontend tools + # ------------------------------------------------------------------ + + def build_frontend_tools(self, tools: List[AGUITool]) -> List[ToolWithSchema]: + """Turns ``RunAgentInput.tools`` into parking Antigravity tools.""" + built: List[ToolWithSchema] = [] + for tool in tools: + built.append(self._build_frontend_tool(tool)) + self._frontend_tool_names.add(tool.name) + return built + + def build_server_tools(self, tools: Sequence[Callable[..., Any]]) -> List[Any]: + """Wraps server-side tools so their results reach the client. + + A custom Python tool is executed by the SDK's own ``ToolRunner``, and the + harness reports it as a *single* ``TOOL_CALL``/``ACTIVE`` step: there is + no DONE step and no result field anywhere on ``Step``. The return value + goes back over the WebSocket straight to the model. So the step stream + alone can never produce a ``TOOL_CALL_RESULT``, and a client rendering + the call would spin forever waiting for one. + + This process runs the tool, though, so the value is right here. Each + tool is wrapped to emit the call and its result directly -- the same + shape ``_build_frontend_tool`` uses -- and the step-driven events for + these names are suppressed so nothing is emitted twice. + + Built-in tools are unaffected: the harness *does* re-report those at DONE + with their output folded into the args, which is what + ``_extract_builtin_result`` reads. + """ + built: List[Any] = [] + for tool in tools: + built.append(self._build_server_tool(tool)) + return built + + def _build_server_tool(self, tool: Callable[..., Any]) -> Callable[..., Any]: + bridge = self + name = getattr(tool, "__name__", "tool") + is_async = inspect.iscoroutinefunction(tool) + + # functools.wraps sets __wrapped__, and inspect.signature follows it, so + # the SDK still derives the same tool schema from the original function. + @functools.wraps(tool) + async def _invoke(*args: Any, **kwargs: Any) -> Any: + tool_call_id = str(uuid.uuid4()) + bridge.emit( + ToolCallStartEvent( + type="TOOL_CALL_START", + tool_call_id=tool_call_id, + tool_call_name=name, + ) + ) + bridge.emit( + ToolCallArgsEvent( + type="TOOL_CALL_ARGS", + tool_call_id=tool_call_id, + delta=_safe_tool_json(kwargs or {}), + ) + ) + bridge.emit( + ToolCallEndEvent(type="TOOL_CALL_END", tool_call_id=tool_call_id) + ) + try: + result = tool(*args, **kwargs) + if is_async or inspect.isawaitable(result): + result = await result + except Exception as exc: + # ToolCallResultEvent has no error channel, so the failure has to + # travel in content -- the same wording built-in failures use. + bridge.emit( + ToolCallResultEvent( + type="TOOL_CALL_RESULT", + message_id=str(uuid.uuid4()), + tool_call_id=tool_call_id, + content=f"There was an error executing {name}: {exc}", + ) + ) + raise + bridge.emit( + ToolCallResultEvent( + type="TOOL_CALL_RESULT", + message_id=str(uuid.uuid4()), + tool_call_id=tool_call_id, + content=( + result if isinstance(result, str) else _safe_tool_json(result) + ), + ) + ) + return result + + bridge._server_tool_names.add(name) + return _invoke + + def _build_frontend_tool(self, tool: AGUITool) -> ToolWithSchema: + bridge = self + + async def _invoke(**kwargs: Any) -> Any: + # The harness escalates a slow custom tool to a "background task" + # and lets the model carry on without its result. The model then + # re-issues the call -- often with slightly different arguments -- + # which would make the client execute a side-effecting action the + # user has already seen. A frontend tool is therefore dispatched at + # most once per turn; a repeat is answered locally. + args = kwargs or {} + loop = asyncio.get_running_loop() + claim_future: Optional[asyncio.Future] = None + + if bridge._deduplicate: + claim = bridge._turn_results.get(tool.name) + if claim is not None: + first_args, done = claim + logger.debug("Suppressing repeated %s call this turn", tool.name) + # The first dispatch may still be in flight (the SDK's + # ToolRunner gathers a tool batch concurrently), so wait for + # its result rather than reading a slot that is not filled + # in yet. + first_result = await asyncio.shield(done) + if first_args == args: + return first_result + # Different arguments: don't silently pass off the old result + # as this call's, say plainly what happened so the model + # stops retrying and reports what actually ran. + return ( + f"{tool.name} already ran in this turn with arguments " + f"{json.dumps(first_args)} and returned " + f"{json.dumps(first_result, default=str)}. It was not run " + "again. Tell the user the result; only call it again on a " + "later turn if they ask for another change." + ) + # Claim the slot BEFORE parking, so a concurrent identical call + # in the same batch waits on us instead of dispatching again. + claim_future = loop.create_future() + bridge._turn_results[tool.name] = (args, claim_future) + + tool_call_id = str(uuid.uuid4()) + request = PendingRequest( + id=tool_call_id, + kind=KIND_FRONTEND_TOOL, + future=loop.create_future(), + tool_call_id=tool_call_id, + tool_name=tool.name, + ) + + bridge.emit( + ToolCallStartEvent( + type="TOOL_CALL_START", + tool_call_id=tool_call_id, + tool_call_name=tool.name, + ) + ) + bridge.emit( + ToolCallArgsEvent( + type="TOOL_CALL_ARGS", + tool_call_id=tool_call_id, + delta=json.dumps(kwargs or {}), + ) + ) + bridge.emit( + ToolCallEndEvent(type="TOOL_CALL_END", tool_call_id=tool_call_id) + ) + + logger.debug("Parking frontend tool %s (%s)", tool.name, tool_call_id) + try: + result = await bridge._park(request) + except BaseException as exc: + # Settle the future WE created, never a dict re-read: reset_turn() + # may have dropped the entry already, and a waiter blocked on the + # future object would then hang forever -- taking the harness' + # tool batch, and the run holding session.lock, with it. + if claim_future is not None and not claim_future.done(): + claim_future.set_exception(exc) + # Mark retrieved so a claim nobody waited on does not warn. + claim_future.add_done_callback( + lambda f: f.cancelled() or f.exception() + ) + bridge._turn_results.pop(tool.name, None) + raise + logger.debug("Frontend tool %s resumed", tool.name) + if result is _CANCELLED: + result = "The user cancelled this tool call." + if claim_future is not None and not claim_future.done(): + claim_future.set_result(result) + return result + + _invoke.__name__ = tool.name + _invoke.__doc__ = tool.description or f"Client-side tool: {tool.name}" + schema = tool.parameters if isinstance(tool.parameters, dict) else {} + if not schema: + schema = {"type": "object", "properties": {}} + return ToolWithSchema(_invoke, schema) + + # ------------------------------------------------------------------ + # 2. Model questions -> AG-UI interrupt + # ------------------------------------------------------------------ + + def build_interaction_hook(self) -> ag_hooks.OnInteractionHook: + bridge = self + + @ag_hooks.on_interaction + async def _on_interaction( + spec: ag_types.AskQuestionInteractionSpec, + ) -> ag_types.QuestionHookResult: + interrupt_id = str(uuid.uuid4()) + loop = asyncio.get_running_loop() + + questions = [ + { + "question": q.question, + "is_multi_select": q.is_multi_select, + "options": [{"id": o.id, "text": o.text} for o in q.options], + } + for q in spec.questions + ] + interrupt = Interrupt( + id=interrupt_id, + reason="ask_question", + message=questions[0]["question"] if questions else "The agent has a question.", + response_schema=_question_response_schema(questions), + metadata={"questions": questions}, + ) + request = PendingRequest( + id=interrupt_id, + kind=KIND_QUESTION, + future=loop.create_future(), + interrupt=interrupt, + metadata={"questions": questions}, + ) + + logger.debug("Parking ask_question interrupt %s", interrupt_id) + payload = await bridge._park(request) + if payload is _CANCELLED or payload == _ABANDONED: + return ag_types.QuestionHookResult(responses=[], cancelled=True) + return _to_question_hook_result(payload, spec) + + return _on_interaction + + # ------------------------------------------------------------------ + # 3. Tool approval -> AG-UI interrupt + # ------------------------------------------------------------------ + + def build_tool_approval_hook( + self, *, auto_approve: Optional[set[str]] = None + ) -> ag_hooks.PreToolCallDecideHook: + """Builds the approval decide-hook. + + Registering this hook also satisfies the SDK's mandatory-safety guard, + which otherwise refuses to start when write tools or MCP servers are + enabled without an explicit policy. + """ + bridge = self + allowed = auto_approve or set() + + @ag_hooks.pre_tool_call_decide + async def _decide(call: ag_types.ToolCall) -> ag_types.HookResult: + name = call.name.value if hasattr(call.name, "value") else str(call.name) + # Frontend tools are the client's own; approving them here would + # double-prompt the very user who supplied them. + if name in bridge._frontend_tool_names or name in allowed: + return ag_types.HookResult(allow=True) + + # ToolCall.id is None inside this hook, so mint a correlation id. + interrupt_id = str(uuid.uuid4()) + loop = asyncio.get_running_loop() + interrupt = Interrupt( + id=interrupt_id, + reason="tool_approval", + message=f"Allow the agent to run `{name}`?", + response_schema={ + "type": "object", + "properties": { + "approved": {"type": "boolean"}, + "message": {"type": "string"}, + }, + "required": ["approved"], + }, + metadata={"tool_name": name, "args": _jsonable(call.args)}, + ) + request = PendingRequest( + id=interrupt_id, + kind=KIND_APPROVAL, + future=loop.create_future(), + interrupt=interrupt, + tool_name=name, + ) + + logger.debug("Parking approval for %s (%s)", name, interrupt_id) + payload = await bridge._park(request) + if payload is _CANCELLED: + return ag_types.HookResult( + allow=False, message="The user cancelled the approval request." + ) + if payload == _ABANDONED: + return ag_types.HookResult(allow=False, message=_ABANDONED) + approved, message, understood = _read_approval(payload) + if not understood: + logger.warning( + "Uninterpretable approval payload for %s: %r", name, payload + ) + return ag_types.HookResult( + allow=False, + message=( + "The approval response could not be interpreted, so the " + "call was blocked. This is not a decision by the user." + ), + ) + return ag_types.HookResult( + allow=approved, + message=message or ("" if approved else "The user denied this tool call."), + ) + + return _decide + + +class _Cancelled: + """Sentinel for a client-cancelled parked request.""" + + def __repr__(self) -> str: # pragma: no cover - debug aid + return "" + + +_CANCELLED = _Cancelled() + + +def _question_response_schema(questions: List[Dict[str, Any]]) -> Dict[str, Any]: + return { + "type": "object", + "properties": { + "responses": { + "type": "array", + "items": { + "type": "object", + "properties": { + "selected_option_ids": { + "type": "array", + "items": {"type": "string"}, + }, + "freeform_response": {"type": "string"}, + "skipped": {"type": "boolean"}, + }, + }, + "minItems": len(questions), + } + }, + "required": ["responses"], + } + + +def _to_question_hook_result( + payload: Any, spec: ag_types.AskQuestionInteractionSpec +) -> ag_types.QuestionHookResult: + """Coerces a client resume payload into a QuestionHookResult. + + Accepts the documented ``{"responses": [...]}`` shape, a bare list, or a + plain string (treated as a freeform answer to the first question) so simple + clients do not have to construct the full envelope. + """ + if isinstance(payload, str): + return ag_types.QuestionHookResult( + responses=[ag_types.QuestionResponse(freeform_response=payload)] + ) + raw: Any = payload + if isinstance(payload, dict): + raw = payload.get("responses", payload) + if isinstance(raw, dict): + raw = [raw] + if not isinstance(raw, list): + raw = [] + + responses: List[ag_types.QuestionResponse] = [] + for item in raw: + if isinstance(item, str): + responses.append(ag_types.QuestionResponse(freeform_response=item)) + elif isinstance(item, dict): + responses.append( + ag_types.QuestionResponse( + selected_option_ids=item.get("selected_option_ids"), + freeform_response=item.get("freeform_response", "") or "", + skipped=bool(item.get("skipped", False)), + ) + ) + # The harness expects one response per question. + while len(responses) < len(spec.questions): + responses.append(ag_types.QuestionResponse(skipped=True)) + return ag_types.QuestionHookResult(responses=responses) + + +_AFFIRMATIVE = frozenset({"yes", "true", "approve", "approved", "y", "ok"}) +_NEGATIVE = frozenset({"no", "false", "deny", "denied", "n", "reject"}) + + +def _read_approval(payload: Any) -> tuple[bool, str, bool]: + """Returns (approved, message, understood). + + ``understood`` separates "the user said no" from "we could not tell what + the client sent" -- reporting the second as a denial puts words in the + user's mouth. + """ + if isinstance(payload, bool): + return payload, "", True + if isinstance(payload, str): + text = payload.strip().lower() + if text in _AFFIRMATIVE: + return True, "", True + if text in _NEGATIVE: + return False, "", True + return False, "", False + if isinstance(payload, dict): + raw = payload.get("approved", payload.get("allow")) + if raw is None: + return False, "", False + return bool(raw), str(payload.get("message", "") or ""), True + return False, "", False + + +def _jsonable(value: Any) -> Any: + try: + json.dumps(value) + return value + except (TypeError, ValueError): + return str(value) + + +def _safe_tool_json(value: Any) -> str: + """Serializes a tool payload, never raising on an exotic return value.""" + try: + return json.dumps(value) + except (TypeError, ValueError): + return json.dumps(value, default=str) diff --git a/integrations/antigravity/python/tests/test_agent_config.py b/integrations/antigravity/python/tests/test_agent_config.py new file mode 100644 index 0000000000..c87a5f92da --- /dev/null +++ b/integrations/antigravity/python/tests/test_agent_config.py @@ -0,0 +1,221 @@ +"""Config-construction tests for ``AntigravityAgent._build_agent``. + +``_build_agent`` is what decides which harness the run talks to, whether cold +resume is possible, and whether the SDK's mandatory safety guard is satisfied. +It runs entirely offline -- constructing an ``Agent`` does not start the Go +subprocess -- so the resulting config object can be asserted on directly. +""" + +import pytest +from ag_ui.core import RunAgentInput, Tool as AGUITool, UserMessage +from google.antigravity import CapabilitiesConfig, LocalOpenAIAgentConfig +from google.antigravity import types as ag_types + +from ag_ui_antigravity.agent import AntigravityAgent, _ResumableOpenAIConfig +from ag_ui_antigravity.ui_bridge import UIBridge + +# The SDK validates conversation ids as >= 32 characters. +PREVIOUS_CONVERSATION_ID = "c" * 32 + + +def run_input(**kwargs): + defaults = dict( + thread_id="t1", + run_id="r1", + state={}, + messages=[UserMessage(id="m1", role="user", content="hi")], + tools=[], + context=[], + forwarded_props={}, + ) + defaults.update(kwargs) + return RunAgentInput(**defaults) + + +def frontend_tool(name="set_theme"): + return AGUITool( + name=name, description="", parameters={"type": "object", "properties": {}} + ) + + +def build(agent, *, input_data=None, previous_conversation_id=None, bridge=None): + bridge = bridge or UIBridge() + built = agent._build_agent( + bridge, input_data or run_input(), previous_conversation_id + ) + return built._config, bridge + + +def tool_names(config): + return [t.__name__ for t in config.tools] + + +class TestModelSelection: + async def test_base_url_selects_the_openai_compatible_config(self): + config, _ = build(AntigravityAgent(base_url="http://host:1234", model="gpt-4o")) + assert isinstance(config, _ResumableOpenAIConfig) + assert config.base_url == "http://host:1234" + assert config.model == "gpt-4o" + + async def test_no_base_url_selects_the_native_gemini_config(self): + config, _ = build(AntigravityAgent(model="gemini-3-pro", api_key="secret")) + assert not isinstance(config, LocalOpenAIAgentConfig) + assert config.model == "gemini-3-pro" + assert config.api_key == "secret" + + +class TestResume: + async def test_previous_conversation_id_enables_cold_resume(self): + config, _ = build( + AntigravityAgent(), + previous_conversation_id=PREVIOUS_CONVERSATION_ID, + ) + assert config.conversation_id == PREVIOUS_CONVERSATION_ID + assert ( + config.session_continuation_mode + == ag_types.SessionContinuationMode.CREATE_OR_RESUME + ) + + async def test_fresh_thread_does_not_request_resume(self): + config, _ = build(AntigravityAgent()) + assert config.conversation_id is None + assert ( + config.session_continuation_mode + != ag_types.SessionContinuationMode.CREATE_OR_RESUME + ) + + async def test_openai_strategy_carries_the_continuation_mode(self, tmp_path): + """google-antigravity 0.1.8 drops the field on the OpenAI path. + + ``LocalAgentConfig.create_strategy`` forwards it but + ``LocalOpenAIAgentConfig.create_strategy`` does not, silently disabling + cold resume; ``_ResumableOpenAIConfig`` restores parity. + """ + kwargs = dict( + base_url="http://host:1", + model="gpt-4o", + save_dir=str(tmp_path), + session_continuation_mode=( + ag_types.SessionContinuationMode.CREATE_OR_RESUME + ), + ) + patched = _ResumableOpenAIConfig(**kwargs).create_strategy( + tool_runner=None, hook_runner=None + ) + unpatched = LocalOpenAIAgentConfig(**kwargs).create_strategy( + tool_runner=None, hook_runner=None + ) + assert ( + patched._session_continuation_mode + == ag_types.SessionContinuationMode.CREATE_OR_RESUME + ) + assert unpatched._session_continuation_mode is None + + +class TestTools: + async def test_client_tools_become_parking_antigravity_tools(self): + config, bridge = build( + AntigravityAgent(), input_data=run_input(tools=[frontend_tool("set_theme")]) + ) + assert tool_names(config) == ["set_theme"] + assert bridge.frontend_tool_names == {"set_theme"} + + async def test_frontend_tools_can_be_disabled(self): + config, bridge = build( + AntigravityAgent(enable_frontend_tools=False), + input_data=run_input(tools=[frontend_tool()]), + ) + assert tool_names(config) == [] + assert bridge.frontend_tool_names == set() + + async def test_static_tools_are_kept_alongside_client_tools(self): + def lookup_weather(city: str) -> str: + """Looks up the weather.""" + return "sunny" + + config, _ = build( + AntigravityAgent(tools=[lookup_weather]), + input_data=run_input(tools=[frontend_tool("set_theme")]), + ) + assert tool_names(config) == ["lookup_weather", "set_theme"] + + +class TestHooksAndPolicies: + async def test_ask_question_hook_is_registered_by_default(self): + config, _ = build(AntigravityAgent()) + assert len(config.hooks) == 1 + + async def test_ask_question_hook_can_be_disabled(self): + config, _ = build(AntigravityAgent(enable_ask_question=False)) + assert config.hooks == [] + + async def test_tool_approval_adds_the_decide_hook(self): + config, _ = build(AntigravityAgent(tool_approval=True)) + assert len(config.hooks) == 2 + + async def test_without_approval_an_allow_all_policy_satisfies_the_safety_guard(self): + """The SDK refuses to start on write/MCP tools with no policy or hook.""" + config, _ = build(AntigravityAgent(tool_approval=False)) + assert "allow_all" in [p.name for p in config.policies] + + async def test_approval_hook_replaces_the_allow_all_policy(self): + """The decide hook is itself the safety guard; allow_all would defeat it.""" + config, _ = build(AntigravityAgent(tool_approval=True)) + assert "allow_all" not in [p.name for p in (config.policies or [])] + + +class TestOptionalFields: + async def test_workspaces_default_to_the_process_cwd(self): + import os + + config, _ = build(AntigravityAgent()) + assert config.workspaces == [os.getcwd()] + + async def test_explicit_workspaces_are_forwarded(self, tmp_path): + config, _ = build(AntigravityAgent(workspaces=[str(tmp_path)])) + assert config.workspaces == [str(tmp_path)] + + async def test_subagents_switch_the_capability_on(self): + subagent = ag_types.SubagentConfig(name="researcher", description="researches") + config, _ = build(AntigravityAgent(subagents=[subagent])) + assert config.capabilities.enable_subagents is True + assert [s.name for s in config.subagents] == ["researcher"] + + async def test_no_subagents_leaves_the_capability_off(self): + config, _ = build(AntigravityAgent()) + assert config.capabilities.enable_subagents is False + + async def test_explicit_capabilities_override_the_derived_default(self): + subagent = ag_types.SubagentConfig(name="researcher", description="researches") + config, _ = build( + AntigravityAgent( + capabilities=CapabilitiesConfig(enable_subagents=False), + subagents=[subagent], + ) + ) + assert config.capabilities.enable_subagents is False + + async def test_system_instructions_and_save_dir_are_forwarded(self, tmp_path): + config, _ = build( + AntigravityAgent(system_instructions="be terse", save_dir=str(tmp_path)) + ) + assert "be terse" in str(config.system_instructions) + assert config.save_dir == str(tmp_path) + + +class TestLifecycle: + async def test_session_manager_is_exposed(self): + agent = AntigravityAgent() + assert agent.session_manager is agent._sessions + + async def test_an_injected_session_manager_is_used_verbatim(self): + from ag_ui_antigravity.session_manager import SessionManager + + injected = SessionManager(max_sessions=3) + assert AntigravityAgent(session_manager=injected).session_manager is injected + + async def test_close_stops_the_session_manager(self): + agent = AntigravityAgent() + agent._sessions.start() + await agent.close() + assert agent._sessions._cleanup_task is None diff --git a/integrations/antigravity/python/tests/test_agent_run_loop.py b/integrations/antigravity/python/tests/test_agent_run_loop.py new file mode 100644 index 0000000000..487a3fc2a5 --- /dev/null +++ b/integrations/antigravity/python/tests/test_agent_run_loop.py @@ -0,0 +1,1520 @@ +"""Run-loop tests: the AG-UI lifecycle contract around the Antigravity stream. + +These drive ``AntigravityAgent._run_locked`` against a fake Conversation so the +lifecycle rules can be asserted without starting a Go subprocess. The live +end-to-end path is covered by ``test_live_openai.py``. +""" + +import asyncio + +import pytest +from ag_ui.core import RunAgentInput, Tool as AGUITool +from ag_ui.core import ( + AssistantMessage, + ResumeEntry, + ToolCallStartEvent, + ToolMessage, + UserMessage, +) +from google.antigravity import types as ag_types + +from ag_ui_antigravity.agent import AntigravityAgent +from ag_ui_antigravity.session_manager import AntigravitySession, SessionLimitExceeded +from ag_ui_antigravity.ui_bridge import UIBridge + + +BLOCK = object() +"""Script marker: the stream goes quiet until ``conversation.gate`` is set.""" + + +class FakeConversation: + """Replays scripted steps; ``on_send`` can trigger side effects (parking).""" + + def __init__(self, scripts, on_send=None): + self._scripts = list(scripts) + self._on_send = on_send + self.sent = [] + # Released to let a BLOCKed stream carry on delivering its script, + # which is how a turn that parked eventually finishes. + self.gate = asyncio.Event() + + async def send(self, prompt): + self.sent.append(prompt) + if self._on_send: + await self._on_send() + + async def receive_steps(self): + script = self._scripts.pop(0) if self._scripts else [] + for item in script: + if item is BLOCK: + # The harness has gone quiet: it is waiting on our coroutine. + await self.gate.wait() + continue + # AntigravityCancelledError derives from BaseException, not + # Exception, so the check has to be widened to cover it. + if isinstance(item, BaseException): + raise item + await asyncio.sleep(0) + yield item + + +class FakeAgent: + def __init__(self, conversation): + self.conversation = conversation + self.conversation_id = "conv-1" + + +def make_session(conversation, bridge=None, forwarded=()): + """`forwarded` marks user-message ids a previous run already sent. + + A parked session always has one: the park implies an earlier run that + forwarded the prompt which started the turn. + """ + bridge = bridge or UIBridge() + return AntigravitySession( + thread_id="t1", + agent=FakeAgent(conversation), + bridge=bridge, + tool_signature="sig", + forwarded_prompts=set(forwarded), + ) + + +def text_step(delta, *, index=1, done=False): + return ag_types.Step( + id=f"traj:{index}", + step_index=index, + type=ag_types.StepType.TEXT_RESPONSE, + source=ag_types.StepSource.MODEL, + target=ag_types.StepTarget.USER, + status=ag_types.StepStatus.DONE if done else ag_types.StepStatus.ACTIVE, + content_delta=delta, + content=delta, + ) + + +def run_input(**kwargs): + defaults = dict( + thread_id="t1", + run_id="r1", + state={}, + messages=[UserMessage(id="m1", role="user", content="hi")], + tools=[], + context=[], + forwarded_props={}, + ) + defaults.update(kwargs) + return RunAgentInput(**defaults) + + +async def drain(agen): + return [e async for e in agen] + + +def _frontend_tool_bridge(name="set_theme"): + """Returns (bridge, AG-UI tool definition, the parking Antigravity tool).""" + bridge = UIBridge() + tool_def = AGUITool( + name=name, description="", parameters={"type": "object", "properties": {}} + ) + (tool,) = bridge.build_frontend_tools([tool_def]) + return bridge, tool_def, tool + + +def _tool_call_id(events): + return [e for e in events if e.type == "TOOL_CALL_START"][0].tool_call_id + + +def _resume_messages(tool_call_id, content="dark"): + return [ + UserMessage(id="m1", role="user", content="hi"), + ToolMessage( + id="m2", role="tool", content=content, tool_call_id=tool_call_id + ), + ] + + +class TestLifecycle: + async def test_happy_path_is_bookended(self): + agent = AntigravityAgent() + session = make_session(FakeConversation([[text_step("hi", done=True)]])) + events = await drain(agent._run_locked(session, run_input())) + assert [e.type for e in events] == [ + "TEXT_MESSAGE_START", + "TEXT_MESSAGE_CONTENT", + "TEXT_MESSAGE_END", + "RUN_FINISHED", + ] + + async def test_full_run_emits_exactly_one_run_started(self): + agent = AntigravityAgent() + session = make_session(FakeConversation([[text_step("hi", done=True)]])) + agent._sessions.get_or_create = _fixed_session(session) + + events = await drain(agent.run(run_input())) + assert [e.type for e in events].count("RUN_STARTED") == 1 + assert events[0].type == "RUN_STARTED" + assert events[-1].type == "RUN_FINISHED" + + async def test_error_yields_run_error_and_never_run_finished(self): + agent = AntigravityAgent() + conversation = FakeConversation( + [[ag_types.AntigravityExecutionError("upstream 500")]] + ) + session = make_session(conversation) + events = await drain(agent._run_locked(session, run_input())) + types = [e.type for e in events] + assert "RUN_ERROR" in types + assert "RUN_FINISHED" not in types + assert "upstream 500" in events[-1].message + + async def test_run_error_from_session_startup_is_terminal(self): + agent = AntigravityAgent() + + async def boom(*args, **kwargs): + raise RuntimeError("harness binary missing") + + agent._sessions.get_or_create = boom + events = await drain(agent.run(run_input())) + types = [e.type for e in events] + assert types == ["RUN_STARTED", "RUN_ERROR"] + assert "harness binary missing" in events[-1].message + + async def test_open_text_block_is_closed_before_run_finished(self): + """A stream that ends mid-message must still bookend correctly.""" + agent = AntigravityAgent() + session = make_session(FakeConversation([[text_step("partial")]])) + events = await drain(agent._run_locked(session, run_input())) + types = [e.type for e in events] + assert types.index("TEXT_MESSAGE_END") < types.index("RUN_FINISHED") + + async def test_a_run_that_produces_nothing_still_terminates(self): + """AG-UI requires a terminal event even when there is no work to do.""" + agent = AntigravityAgent() + session = make_session(FakeConversation([[]])) + agent._sessions.get_or_create = _fixed_session(session) + events = await drain(agent.run(run_input(messages=[]))) + assert [e.type for e in events] == ["RUN_STARTED", "RUN_FINISHED"] + + async def test_an_unknown_interrupt_id_in_resume_is_ignored(self): + """A stale resume from a retrying client must not swallow the prompt.""" + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation) + await drain( + agent._run_locked( + session, + run_input( + resume=[ + ResumeEntry( + interrupt_id="long-gone", payload="x", status="resolved" + ) + ] + ), + ) + ) + assert conversation.sent == ["hi"] + + async def test_a_stale_tool_message_is_ignored(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation) + await drain( + agent._run_locked( + session, + run_input( + messages=[ + UserMessage(id="m1", role="user", content="hi"), + ToolMessage( + id="m2", role="tool", content="x", tool_call_id="long-gone" + ), + ] + ), + ) + ) + assert conversation.sent == ["hi"] + + async def test_a_tool_message_with_no_call_id_is_skipped(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation) + await drain( + agent._run_locked( + session, + run_input( + messages=[ + UserMessage(id="m1", role="user", content="hi"), + ToolMessage(id="m2", role="tool", content="x", tool_call_id=""), + ] + ), + ) + ) + assert conversation.sent == ["hi"] + + async def test_a_trailing_assistant_message_does_not_hide_the_prompt(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation) + await drain( + agent._run_locked( + session, + run_input( + messages=[ + UserMessage(id="m1", role="user", content="the question"), + AssistantMessage(id="m2", role="assistant", content="a reply"), + ] + ), + ) + ) + assert conversation.sent == ["the question"] + + async def test_a_history_with_no_user_message_sends_nothing(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation) + events = await drain( + agent._run_locked( + session, + run_input( + messages=[ + AssistantMessage(id="m1", role="assistant", content="hello") + ] + ), + ) + ) + assert conversation.sent == [] + assert events == [] + + async def test_only_latest_user_message_is_forwarded(self): + """Antigravity keeps its own history; replaying it would duplicate.""" + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation) + await drain( + agent._run_locked( + session, + run_input( + messages=[ + UserMessage(id="m1", role="user", content="first"), + UserMessage(id="m2", role="user", content="second"), + ] + ), + ) + ) + assert conversation.sent == ["second"] + + +class TestParking: + async def test_run_ends_with_interrupt_outcome_when_a_hook_parks(self): + agent = AntigravityAgent() + bridge = UIBridge() + hook = bridge.build_interaction_hook() + spec = ag_types.AskQuestionInteractionSpec( + questions=[ag_types.AskQuestionEntry(question="Which?", options=[])] + ) + parked_task = {} + + async def on_send(): + parked_task["t"] = asyncio.create_task(hook.run(None, spec)) + + # The stream never completes: the harness is waiting on our coroutine. + conversation = FakeConversation([[BLOCK]], on_send=on_send) + session = make_session(conversation, bridge) + + events = await asyncio.wait_for( + drain(agent._run_locked(session, run_input())), 10 + ) + final = events[-1] + assert final.type == "RUN_FINISHED" + assert final.outcome is not None + assert final.outcome.type == "interrupt" + assert final.outcome.interrupts[0].reason == "ask_question" + + parked_task["t"].cancel() + + async def test_frontend_tool_events_reach_the_stream_then_run_ends(self): + agent = AntigravityAgent() + bridge = UIBridge() + tool_def = AGUITool( + name="set_theme", + description="", + parameters={"type": "object", "properties": {}}, + ) + (tool,) = bridge.build_frontend_tools([tool_def]) + parked = {} + + async def on_send(): + parked["t"] = asyncio.create_task(tool()) + + conversation = FakeConversation([[BLOCK]], on_send=on_send) + session = make_session(conversation, bridge) + + events = await asyncio.wait_for( + drain(agent._run_locked(session, run_input(tools=[tool_def]))), 10 + ) + types = [e.type for e in events] + assert "TOOL_CALL_START" in types + assert "TOOL_CALL_END" in types + assert types[-1] == "RUN_FINISHED" + parked["t"].cancel() + + async def test_tool_message_resolves_the_parked_tool_next_run(self): + agent = AntigravityAgent() + bridge = UIBridge() + tool_def = AGUITool( + name="set_theme", + description="", + parameters={"type": "object", "properties": {}}, + ) + (tool,) = bridge.build_frontend_tools([tool_def]) + + task = asyncio.create_task(tool()) + await asyncio.sleep(0.05) + tool_call_id = [ + e for e in bridge.drain() if e.type == "TOOL_CALL_START" + ][0].tool_call_id + + conversation = FakeConversation([[text_step("themed", done=True)]]) + session = make_session(conversation, bridge, forwarded={"m1"}) + + events = await drain( + agent._run_locked( + session, + run_input( + tools=[tool_def], + messages=[ + UserMessage(id="m1", role="user", content="theme it"), + ToolMessage( + id="m2", + role="tool", + content="dark", + tool_call_id=tool_call_id, + ), + ], + ), + ) + ) + assert await asyncio.wait_for(task, 1) == "dark" + # A pure resumption must not re-send the prompt as a new user turn. + assert conversation.sent == [] + assert events[-1].type == "RUN_FINISHED" + + async def test_resume_entry_resolves_a_parked_interrupt_next_run(self): + agent = AntigravityAgent() + bridge = UIBridge() + hook = bridge.build_interaction_hook() + spec = ag_types.AskQuestionInteractionSpec( + questions=[ag_types.AskQuestionEntry(question="Which?", options=[])] + ) + task = asyncio.create_task(hook.run(None, spec)) + await asyncio.sleep(0.05) + interrupt_id = bridge.pending_interrupts()[0].id + + conversation = FakeConversation([[text_step("answered", done=True)]]) + # The park implies a prior run that already forwarded the prompt. + session = make_session(conversation, bridge, forwarded={"m1"}) + events = await drain( + agent._run_locked( + session, + run_input( + resume=[ + ResumeEntry( + interrupt_id=interrupt_id, + payload="purple", + status="resolved", + ) + ] + ), + ) + ) + result = await asyncio.wait_for(task, 1) + assert result.responses[0].freeform_response == "purple" + assert conversation.sent == [] + assert events[-1].type == "RUN_FINISHED" + + async def test_cancelled_resume_entry_cancels_the_parked_request(self): + agent = AntigravityAgent() + bridge = UIBridge() + hook = bridge.build_interaction_hook() + spec = ag_types.AskQuestionInteractionSpec( + questions=[ag_types.AskQuestionEntry(question="Which?", options=[])] + ) + task = asyncio.create_task(hook.run(None, spec)) + await asyncio.sleep(0.05) + interrupt_id = bridge.pending_interrupts()[0].id + + session = make_session(FakeConversation([[text_step("ok", done=True)]]), bridge) + await drain( + agent._run_locked( + session, + run_input( + resume=[ + ResumeEntry( + interrupt_id=interrupt_id, + payload=None, + status="cancelled", + ) + ] + ), + ) + ) + assert (await asyncio.wait_for(task, 1)).cancelled is True + + async def test_an_answered_interrupt_does_not_re_interrupt_the_next_run(self): + agent = AntigravityAgent() + bridge = UIBridge() + hook = bridge.build_interaction_hook() + spec = ag_types.AskQuestionInteractionSpec( + questions=[ag_types.AskQuestionEntry(question="Which?", options=[])] + ) + task = asyncio.create_task(hook.run(None, spec)) + await asyncio.sleep(0.05) + interrupt_id = bridge.pending_interrupts()[0].id + + session = make_session(FakeConversation([[text_step("ok", done=True)]]), bridge) + events = await drain( + agent._run_locked( + session, + run_input( + resume=[ + ResumeEntry( + interrupt_id=interrupt_id, + payload="p", + status="resolved", + ) + ] + ), + ) + ) + await asyncio.wait_for(task, 1) + assert events[-1].type == "RUN_FINISHED" + assert events[-1].outcome is None + + async def test_a_parked_turn_keeps_its_iterator_and_in_flight_step(self): + """Restarting receive_steps() would replay the in-progress turn, and + cancelling the in-flight __anext__() would drop the step the harness is + mid-way through delivering.""" + agent = AntigravityAgent() + bridge, tool_def, tool = _frontend_tool_bridge() + parked = {} + + async def on_send(): + parked["t"] = asyncio.create_task(tool()) + + conversation = FakeConversation([[BLOCK, text_step("themed", done=True)]], + on_send=on_send) + session = make_session(conversation, bridge) + + first = await asyncio.wait_for( + drain(agent._run_locked(session, run_input(tools=[tool_def]))), 10 + ) + assert session.step_iter is not None + assert session.pending_step is not None + first_iter = session.step_iter + first_translator = session.translator + assert first_translator is not None + + conversation.gate.set() + second = await asyncio.wait_for( + drain( + agent._run_locked( + session, + run_input( + tools=[tool_def], + messages=_resume_messages(_tool_call_id(first)), + ), + ) + ), + 10, + ) + # The turn ran to completion on the same iterator and translator. + assert session.step_iter is None, "an exhausted turn must be retired" + assert "TEXT_MESSAGE_CONTENT" in [e.type for e in second] + assert conversation.sent == ["hi"], "the turn must not be re-prompted" + assert first_iter is not None and first_translator is not None + await asyncio.wait_for(parked["t"], 1) + + async def test_a_redelivered_step_is_not_translated_twice_across_runs(self): + """The turn-scoped translator is what stops the client re-running a tool.""" + agent = AntigravityAgent() + bridge, tool_def, tool = _frontend_tool_bridge() + parked = {} + + async def on_send(): + parked["t"] = asyncio.create_task(tool()) + + # The harness re-delivers the completed step it already sent pre-park. + already_sent = text_step("thinking about it", index=1, done=True) + conversation = FakeConversation( + [[ + already_sent, + BLOCK, + already_sent, + text_step("done", index=2, done=True), + ]], + on_send=on_send, + ) + session = make_session(conversation, bridge) + + first = await asyncio.wait_for( + drain(agent._run_locked(session, run_input(tools=[tool_def]))), 10 + ) + assert [e.type for e in first].count("TEXT_MESSAGE_CONTENT") == 1 + + conversation.gate.set() + second = await asyncio.wait_for( + drain( + agent._run_locked( + session, + run_input( + tools=[tool_def], + messages=_resume_messages(_tool_call_id(first)), + ), + ) + ), + 10, + ) + deltas = [e.delta for e in second if e.type == "TEXT_MESSAGE_CONTENT"] + assert deltas == ["done"], deltas + await asyncio.wait_for(parked["t"], 1) + + async def test_frontend_tools_are_suppressed_in_the_translator(self): + """Both the bridge and the translator see the call; only one may emit.""" + agent = AntigravityAgent() + bridge = UIBridge() + tool_def = AGUITool( + name="set_theme", + description="", + parameters={"type": "object", "properties": {}}, + ) + bridge.build_frontend_tools([tool_def]) + + call = ag_types.ToolCall(name="set_theme", args={"theme": "dark"}, id="tc-1") + tool_step = ag_types.Step( + id="traj:1", + step_index=1, + type=ag_types.StepType.TOOL_CALL, + source=ag_types.StepSource.MODEL, + target=ag_types.StepTarget.USER, + status=ag_types.StepStatus.DONE, + tool_calls=[call], + ) + session = make_session(FakeConversation([[tool_step]]), bridge) + events = await drain( + agent._run_locked(session, run_input(tools=[tool_def])) + ) + assert [e.type for e in events] == ["RUN_FINISHED"] + + +class TestTurnBoundaries: + async def test_a_new_prompt_after_a_finished_turn_starts_a_clean_turn(self): + """A translator carried over would suppress the reused step_index as + an already-completed redelivery, silently dropping the second answer.""" + agent = AntigravityAgent() + conversation = FakeConversation( + [[text_step("one", done=True)], [text_step("two", done=True)]] + ) + session = make_session(conversation) + + await drain(agent._run_locked(session, run_input())) + second = await drain( + agent._run_locked( + session, + run_input(messages=[UserMessage(id="m2", role="user", content="again")]), + ) + ) + assert conversation.sent == ["hi", "again"] + assert [e.delta for e in second if e.type == "TEXT_MESSAGE_CONTENT"] == ["two"] + + async def test_a_new_prompt_retires_an_abandoned_turn(self): + """The client answered the park out of band and then moved on: the + half-consumed iterator of the abandoned turn must not be reused, or the + harness re-delivers it and the new prompt's answer never arrives.""" + agent = AntigravityAgent() + bridge, tool_def, tool = _frontend_tool_bridge() + parked = {} + + async def on_send(): + parked.setdefault("t", asyncio.create_task(tool())) + + conversation = FakeConversation( + [[BLOCK], [text_step("fresh", done=True)]], on_send=on_send + ) + session = make_session(conversation, bridge) + + first = await asyncio.wait_for( + drain(agent._run_locked(session, run_input(tools=[tool_def]))), 10 + ) + stale_iterator = session.step_iter + assert stale_iterator is not None + + # Answered outside this run's input, so the next run is a plain prompt. + bridge.resolve_tool_call(_tool_call_id(first), "dark") + bridge.forget_resolved() + await asyncio.wait_for(parked["t"], 1) + assert bridge.has_pending is False + + second = await asyncio.wait_for( + drain( + agent._run_locked( + session, + run_input( + tools=[tool_def], + messages=[UserMessage(id="m2", role="user", content="new")], + ), + ) + ), + 10, + ) + assert session.step_iter is not stale_iterator + assert [e.delta for e in second if e.type == "TEXT_MESSAGE_CONTENT"] == ["fresh"] + + async def test_exhausted_stream_clears_the_iterator_for_the_next_turn(self): + agent = AntigravityAgent() + session = make_session(FakeConversation([[text_step("done", done=True)]])) + await drain(agent._run_locked(session, run_input())) + assert session.step_iter is None + assert session.pending_step is None + assert session.translator is None + + async def test_a_failed_turn_does_not_carry_its_iterator_forward(self): + """A half-consumed iterator would replay the dead turn on the next run.""" + agent = AntigravityAgent() + session = make_session( + FakeConversation([[ag_types.AntigravityExecutionError("boom")]]) + ) + await drain(agent._run_locked(session, run_input())) + assert session.step_iter is None + assert session.translator is None + + async def test_a_run_with_nothing_to_say_or_resume_ends_immediately(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("never", done=True)]]) + session = make_session(conversation) + events = await drain( + agent._run_locked(session, run_input(messages=[])) + ) + assert events == [] + assert conversation.sent == [] + + async def test_a_queued_bridge_event_is_still_drained_on_an_empty_run(self): + agent = AntigravityAgent() + bridge = UIBridge() + bridge.emit( + ToolCallStartEvent( + type="TOOL_CALL_START", tool_call_id="tc-1", tool_call_name="x" + ) + ) + session = make_session(FakeConversation([[]]), bridge) + events = await drain(agent._run_locked(session, run_input(messages=[]))) + assert [e.type for e in events] == ["TOOL_CALL_START"] + + async def test_a_blank_user_message_is_not_treated_as_a_prompt(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("x", done=True)]]) + session = make_session(conversation) + await drain( + agent._run_locked( + session, + run_input(messages=[UserMessage(id="m1", role="user", content=" ")]), + ) + ) + assert conversation.sent == [] + + async def test_a_new_prompt_while_parked_abandons_the_stale_request(self): + """The user moved on, so the old park must be released. + + Keeping it looks safer but is not: the harness stays blocked inside our + coroutine, `_steps_with_bridge` sees `has_pending` and returns before + reading a single step, so the new turn's output is silently dropped and + an exception from the harness never surfaces. `is_parked` also stays + true, so the idle sweeper never reclaims the session. + """ + agent = AntigravityAgent() + bridge = UIBridge() + tool_def = AGUITool( + name="set_theme", + description="", + parameters={"type": "object", "properties": {}}, + ) + (tool,) = bridge.build_frontend_tools([tool_def]) + parked = {} + + async def on_send(): + # Only the FIRST turn parks; setdefault would evaluate its default + # eagerly and spawn a second task on the new prompt. + if "t" not in parked: + parked["t"] = asyncio.create_task(tool()) + + conversation = FakeConversation( + [[BLOCK], [text_step("hello", index=5, done=True)]], on_send=on_send + ) + session = make_session(conversation, bridge) + + await asyncio.wait_for( + drain(agent._run_locked(session, run_input(tools=[tool_def]))), 10 + ) + assert session.is_parked + + events = await asyncio.wait_for( + drain( + agent._run_locked( + session, + run_input( + tools=[tool_def], + messages=[UserMessage(id="m2", role="user", content="also this")], + ), + ) + ), + 10, + ) + + # The new turn's output reaches the client... + assert "TEXT_MESSAGE_CONTENT" in [e.type for e in events] + assert "".join( + e.delta for e in events if e.type == "TEXT_MESSAGE_CONTENT" + ) == "hello" + # ...and the stale park is released, so the session can be reclaimed. + assert not session.is_parked + assert await asyncio.wait_for(parked["t"], 1) + + async def test_an_error_while_parked_releases_the_park(self): + """A run that fails with something still parked must not pin the session. + + Isolates the error path specifically: this is a RESUME run (no new user + prompt), so the new-prompt abandon cannot mask it. The failure arrives + through the `__anext__()` future the previous run left in flight, which + is the only way an error reaches a parked turn. + """ + agent = AntigravityAgent() + bridge = UIBridge() + tool_def = AGUITool( + name="set_theme", + description="", + parameters={"type": "object", "properties": {}}, + ) + other_def = AGUITool( + name="set_font", + description="", + parameters={"type": "object", "properties": {}}, + ) + # Two DIFFERENT tools: per-turn dedup means two calls to the same tool + # would only ever park once, leaving nothing behind to leak. + first_tool, second_tool = bridge.build_frontend_tools([tool_def, other_def]) + + answered = asyncio.create_task(first_tool(theme="dark")) + still_parked = asyncio.create_task(second_tool(theme="light")) + await asyncio.sleep(0.05) + starts = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"] + + session = make_session(FakeConversation([[]]), bridge) + # The in-flight step future already carries the harness failure. + failed: asyncio.Future = asyncio.get_running_loop().create_future() + failed.set_exception(ag_types.AntigravityExecutionError("upstream 500")) + session.step_iter = _NullIterator() + session.pending_step = failed + + events = await drain( + agent._run_locked( + session, + run_input( + tools=[tool_def, other_def], + messages=[ + UserMessage(id="m1", role="user", content="theme it"), + ToolMessage( + id="m2", + role="tool", + content="ok", + tool_call_id=starts[0].tool_call_id, + ), + ], + ), + ) + ) + + assert [e.type for e in events][-1] == "RUN_ERROR" + assert "upstream 500" in events[-1].message + assert not session.is_parked, "the surviving park still pins the session" + await asyncio.wait_for(answered, 1) + await asyncio.wait_for(still_parked, 1) + + +class _NullIterator: + """A step iterator that is never advanced (the pending future stands in).""" + + async def __anext__(self): # pragma: no cover - never reached + raise StopAsyncIteration + + async def aclose(self): + return None + + +class TestCancellation: + async def test_cancellation_mid_stream_is_reported_as_cancelled(self): + """A cancellation is not a successful run. + + It must also be reported identically wherever it surfaces: the handler + in `run()` already emits RUN_ERROR/CANCELLED, so the in-loop path + emitting RUN_FINISHED made the outcome depend on timing. + """ + agent = AntigravityAgent() + session = make_session( + FakeConversation([[ag_types.AntigravityCancelledError("client went away")]]) + ) + events = await drain(agent._run_locked(session, run_input())) + types = [e.type for e in events] + assert types[-1] == "RUN_ERROR" + assert events[-1].code == "CANCELLED" + assert "RUN_FINISHED" not in types + + async def test_cancellation_is_reported_the_same_from_either_path(self): + """In-loop and startup cancellations must not disagree.""" + agent = AntigravityAgent() + in_loop = make_session( + FakeConversation([[ag_types.AntigravityCancelledError("gone")]]) + ) + inner = await drain(agent._run_locked(in_loop, run_input())) + + async def boom(*args, **kwargs): + raise ag_types.AntigravityCancelledError("gone") + + agent._sessions.get_or_create = boom + outer = [e async for e in agent.run(run_input())] + + assert inner[-1].type == outer[-1].type == "RUN_ERROR" + assert inner[-1].code == outer[-1].code == "CANCELLED" + + async def test_cancellation_during_session_startup_is_its_own_error_code(self): + agent = AntigravityAgent() + + async def cancelled(*args, **kwargs): + raise ag_types.AntigravityCancelledError("gone") + + agent._sessions.get_or_create = cancelled + events = await drain(agent.run(run_input())) + assert [e.type for e in events] == ["RUN_STARTED", "RUN_ERROR"] + assert events[-1].code == "CANCELLED" + + +class TestSessionLimit: + async def test_session_limit_surfaces_as_a_dedicated_error_code(self): + agent = AntigravityAgent() + + async def over_limit(*args, **kwargs): + raise SessionLimitExceeded("50 of 50 in use.") + + agent._sessions.get_or_create = over_limit + events = await drain(agent.run(run_input())) + assert [e.type for e in events] == ["RUN_STARTED", "RUN_ERROR"] + assert events[-1].code == "SESSION_LIMIT" + assert "50 of 50" in events[-1].message + + async def test_run_finished_is_not_appended_after_a_terminal_run_error(self): + """Exactly one terminal event: RUN_FINISHED must never follow RUN_ERROR.""" + agent = AntigravityAgent() + session = make_session( + FakeConversation([[ag_types.AntigravityExecutionError("boom")]]) + ) + agent._sessions.get_or_create = _fixed_session(session) + types = [e.type async for e in agent.run(run_input())] + assert types.count("RUN_FINISHED") == 0 + assert types.count("RUN_ERROR") == 1 + + async def test_the_session_lock_serializes_concurrent_runs(self): + """AG-UI clients retry; the SDK rejects concurrent receive_steps().""" + agent = AntigravityAgent() + session = make_session( + FakeConversation( + [[text_step("one", done=True)], [text_step("two", done=True)]] + ) + ) + agent._sessions.get_or_create = _fixed_session(session) + + async def go(run_id): + return [e.type async for e in agent.run(run_input(run_id=run_id))] + + first, second = await asyncio.gather(go("r1"), go("r2")) + for types in (first, second): + assert types[0] == "RUN_STARTED" + assert types[-1] == "RUN_FINISHED" + + @pytest.mark.parametrize( + "exc", + [ + SessionLimitExceeded("full"), + ag_types.AntigravityCancelledError("gone"), + RuntimeError("bookkeeping blew up"), + ], + ) + async def test_a_failure_after_the_terminal_event_adds_no_second_one(self, exc): + """Exactly one terminal event, whatever goes wrong on the way out. + + Armed by the terminal event rather than by a call count: the run also + touches the session while streaming (so a long turn does not look idle + to the sweeper), and counting would trip on that instead. + """ + agent = AntigravityAgent() + session = make_session(FakeConversation([[text_step("hi", done=True)]])) + armed = {"yes": False} + real_touch = session.touch + + def touch(): + if armed["yes"]: + raise exc + real_touch() + + session.touch = touch + agent._sessions.get_or_create = _fixed_session(session) + + types = [] + async for event in agent.run(run_input()): + types.append(event.type) + if event.type in ("RUN_FINISHED", "RUN_ERROR"): + armed["yes"] = True + + assert types.count("RUN_FINISHED") + types.count("RUN_ERROR") == 1 + assert types[-1] == "RUN_FINISHED" + + async def test_the_session_is_touched_around_the_run(self): + agent = AntigravityAgent() + session = make_session(FakeConversation([[text_step("hi", done=True)]])) + session.last_activity = 0.0 + agent._sessions.get_or_create = _fixed_session(session) + await drain(agent.run(run_input())) + assert session.last_activity > 0.0 + + +def _fixed_session(session): + async def _get_or_create(thread_id, *, signature, factory, bridge_factory=None): + return session + + return _get_or_create + + +class TestErrorSteps: + """The SDK raises only for source=SYSTEM with HTTP 400/401/403. Everything + else -- rate limits, 5xx, model-side failures -- is *yielded* as a step with + status=ERROR, so a loop that only catches exceptions calls a failed run a + success.""" + + def _error_step(self, source, message="rate limited", index=1): + return ag_types.Step( + id=f"traj:{index}", + step_index=index, + type=ag_types.StepType.TEXT_RESPONSE, + source=source, + target=ag_types.StepTarget.USER, + status=ag_types.StepStatus.ERROR, + error=message, + ) + + @pytest.mark.parametrize( + "source", [ag_types.StepSource.MODEL, ag_types.StepSource.SYSTEM] + ) + async def test_an_error_step_ends_the_run_as_run_error(self, source): + agent = AntigravityAgent() + session = make_session(FakeConversation([[self._error_step(source)]])) + events = await drain(agent._run_locked(session, run_input())) + + types = [e.type for e in events] + assert "RUN_ERROR" in types, types + assert "RUN_FINISHED" not in types + assert "rate limited" in events[-1].message + + async def test_partial_text_is_closed_before_the_error(self): + agent = AntigravityAgent() + session = make_session( + FakeConversation( + [[text_step("partial answer"), self._error_step( + ag_types.StepSource.MODEL, "upstream 503", index=2)]] + ) + ) + events = await drain(agent._run_locked(session, run_input())) + types = [e.type for e in events] + assert types.index("TEXT_MESSAGE_END") < types.index("RUN_ERROR") + assert "upstream 503" in events[-1].message + + async def test_a_successful_step_is_unaffected(self): + agent = AntigravityAgent() + session = make_session(FakeConversation([[text_step("fine", done=True)]])) + events = await drain(agent._run_locked(session, run_input())) + assert [e.type for e in events][-1] == "RUN_FINISHED" + + +class TestFailureWhileParked: + """A park lasts as long as the human does -- the longest window in the + design for the harness to die unobserved.""" + + async def test_a_failure_that_landed_while_parked_is_surfaced(self): + agent = AntigravityAgent() + session = make_session(FakeConversation([[text_step("ignored", done=True)]])) + failed: asyncio.Future = asyncio.get_running_loop().create_future() + failed.set_exception(ag_types.AntigravityExecutionError("harness died")) + session.pending_step = failed + + events = await drain(agent._run_locked(session, run_input())) + + assert [e.type for e in events] == ["RUN_ERROR"] + assert "harness died" in events[-1].message + + async def test_a_clean_park_does_not_invent_a_failure(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("hi", done=True)]]) + session = make_session(conversation) + pending: asyncio.Future = asyncio.get_running_loop().create_future() + pending.cancel() + session.pending_step = pending + + events = await drain(agent._run_locked(session, run_input())) + assert [e.type for e in events][-1] == "RUN_FINISHED" + + +class TestEndOfTurnWhileParked: + """The harness backgrounds a slow custom tool and goes idle, so the + in-flight __anext__() left over from a parked run routinely completes with + StopAsyncIteration. That is the turn ending, not the harness failing.""" + + async def test_a_normal_end_of_turn_does_not_abort_the_next_prompt(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("new answer", index=7, done=True)]]) + session = make_session(conversation) + + ended: asyncio.Future = asyncio.get_running_loop().create_future() + ended.set_exception(StopAsyncIteration()) + session.pending_step = ended + session.step_iter = _NullIterator() + + events = await drain( + agent._run_locked( + session, + run_input(messages=[UserMessage(id="m2", role="user", content="next")]), + ) + ) + + types = [e.type for e in events] + assert "RUN_ERROR" not in types, types + assert conversation.sent == ["next"], "the new prompt must reach the harness" + assert "".join( + e.delta for e in events if e.type == "TEXT_MESSAGE_CONTENT" + ) == "new answer" + + +class TestPromptAlongsideAnswer: + """Clients flush the tool result and whatever the user typed in one POST.""" + + def _tool_def(self): + return AGUITool( + name="set_theme", + description="", + parameters={"type": "object", "properties": {}}, + ) + + async def test_a_user_message_after_the_tool_answer_is_still_sent(self): + agent = AntigravityAgent() + bridge = UIBridge() + tool_def = self._tool_def() + (tool,) = bridge.build_frontend_tools([tool_def]) + task = asyncio.create_task(tool()) + await asyncio.sleep(0.05) + call_id = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"][0].tool_call_id + + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation, bridge, forwarded={"m1"}) + await drain( + agent._run_locked( + session, + run_input( + tools=[tool_def], + messages=[ + UserMessage(id="m1", role="user", content="theme it"), + ToolMessage(id="m2", role="tool", content="dark", + tool_call_id=call_id), + UserMessage(id="m3", role="user", content="and also this"), + ], + ), + ) + ) + await asyncio.wait_for(task, 1) + assert conversation.sent == ["and also this"] + + async def test_the_turns_original_prompt_is_not_replayed_on_resume(self): + agent = AntigravityAgent() + bridge = UIBridge() + tool_def = self._tool_def() + (tool,) = bridge.build_frontend_tools([tool_def]) + task = asyncio.create_task(tool()) + await asyncio.sleep(0.05) + call_id = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"][0].tool_call_id + + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation, bridge, forwarded={"m1"}) + await drain( + agent._run_locked( + session, + run_input( + tools=[tool_def], + messages=[ + UserMessage(id="m1", role="user", content="theme it"), + ToolMessage(id="m2", role="tool", content="dark", + tool_call_id=call_id), + ], + ), + ) + ) + await asyncio.wait_for(task, 1) + assert conversation.sent == [], "re-sending would run the whole turn again" + + +class TestStructuredOutputValidation: + async def test_an_unknown_structured_output_mode_is_rejected(self): + """The translator routes on != 'custom' and capabilities on == 'state', + so a third value would make the agent emit what it says it cannot.""" + with pytest.raises(ValueError, match="structured_output_as"): + AntigravityAgent(structured_output_as="snapshot") + + +class TestLongTurnKeepsItsSessionAlive: + """`last_activity` is only stamped around the run, so a single Antigravity + turn that outlives `session_timeout_seconds` would look idle to the sweeper + and be reclaimed mid-stream.""" + + async def test_streaming_keeps_the_session_out_of_the_sweeper(self): + import time as _time + + from ag_ui_antigravity.session_manager import SessionManager + + agent = AntigravityAgent() + manager = SessionManager(session_timeout_seconds=60) + + class AgingConversation(FakeConversation): + """Each step costs more than the whole idle timeout.""" + + def __init__(self, scripts, session_ref): + super().__init__(scripts) + self._session_ref = session_ref + + async def receive_steps(self): + async for item in super().receive_steps(): + self._session_ref["s"].last_activity -= 600 + yield item + + ref = {} + conversation = AgingConversation( + [[text_step("a"), text_step("b"), text_step("c", done=True)]], ref + ) + session = make_session(conversation) + ref["s"] = session + + await drain(agent._run_locked(session, run_input())) + + assert not manager._expired(session, _time.monotonic()), ( + "a turn that streamed for longer than the idle timeout was left " + "looking idle, so the sweeper would tear it down mid-run" + ) + + +class TestPromptIdentity: + """Which user message to forward is decided by identity, not position. + + Position fails both ways: a ToolMessage left over from an earlier turn + makes the current turn's prompt look 'new' and replays the whole turn, + while a run resumed purely by a `resume` entry has no ToolMessage to + anchor against and drops genuinely new text.""" + + async def test_a_stale_tool_message_does_not_replay_the_turns_prompt(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation, forwarded={"turn1", "turn2"}) + + await drain( + agent._run_locked( + session, + run_input( + messages=[ + UserMessage(id="turn1", role="user", content="TURN ONE"), + # a tool answer from the FIRST turn + ToolMessage(id="t1", role="tool", content="done", + tool_call_id="old"), + UserMessage(id="turn2", role="user", content="TURN TWO"), + ] + ), + ) + ) + assert conversation.sent == [], "TURN TWO was already forwarded" + + async def test_new_text_is_forwarded_even_with_no_tool_message(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation, forwarded={"turn1"}) + + await drain( + agent._run_locked( + session, + run_input( + messages=[ + UserMessage(id="turn1", role="user", content="TURN ONE"), + UserMessage(id="turn2", role="user", content="TURN TWO"), + ] + ), + ) + ) + assert conversation.sent == ["TURN TWO"] + + async def test_a_forwarded_prompt_is_recorded_so_the_next_run_skips_it(self): + agent = AntigravityAgent() + conversation = FakeConversation( + [[text_step("a", done=True)], [text_step("b", done=True)]] + ) + session = make_session(conversation) + payload = run_input( + messages=[UserMessage(id="only", role="user", content="hello")] + ) + + await drain(agent._run_locked(session, payload)) + await drain(agent._run_locked(session, payload)) + + assert conversation.sent == ["hello"], "the same message went twice" + assert "only" in session.forwarded_prompts + + +class TestPromptRecordedOnlyAfterSend: + """Recording the id before the send makes a failed send look delivered, so + the client's retry is swallowed and the run reports success.""" + + async def test_a_failed_send_leaves_the_prompt_retryable(self): + agent = AntigravityAgent() + + class RefusingConversation(FakeConversation): + def __init__(self): + super().__init__([[text_step("ok", done=True)]]) + self.fail = True + + async def send(self, prompt): + if self.fail: + raise ag_types.AntigravityConnectionError("socket reset") + await super().send(prompt) + + conversation = RefusingConversation() + session = make_session(conversation) + agent._sessions.get_or_create = _fixed_session(session) + payload = run_input( + messages=[UserMessage(id="m1", role="user", content="important")] + ) + + first = [e async for e in agent.run(payload)] + assert first[-1].type == "RUN_ERROR" + assert "m1" not in session.forwarded_prompts, "a failed send was recorded" + + conversation.fail = False + second = await drain(agent._run_locked(session, payload)) + assert conversation.sent == ["important"], "the retry was swallowed" + assert second[-1].type == "RUN_FINISHED" + + async def test_a_stale_failure_return_does_not_consume_the_prompt(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation) + failed: asyncio.Future = asyncio.get_running_loop().create_future() + failed.set_exception(ag_types.AntigravityExecutionError("harness died")) + session.pending_step = failed + + payload = run_input( + messages=[UserMessage(id="m1", role="user", content="important")] + ) + events = await drain(agent._run_locked(session, payload)) + assert events[-1].type == "RUN_ERROR" + assert "m1" not in session.forwarded_prompts + assert conversation.sent == [] + + +class TestMultimodalPrompt: + async def test_text_parts_of_a_list_message_are_forwarded(self): + """A list-shaped message must not silently become a no-op run.""" + from ag_ui.core import TextInputContent + + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation) + await drain( + agent._run_locked( + session, + run_input( + messages=[ + UserMessage( + id="m1", + role="user", + content=[TextInputContent(type="text", text="hello")], + ) + ] + ), + ) + ) + assert conversation.sent == ["hello"] + + async def test_a_message_with_no_text_parts_does_not_replay_an_older_turn(self): + """An image-only message has nothing to send; the run must not fall + back to a prompt the harness already has.""" + from ag_ui.core import ImageInputContent, InputContentUrlSource + + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("ok", done=True)]]) + session = make_session(conversation, forwarded={"m1"}) + await drain( + agent._run_locked( + session, + run_input( + messages=[ + UserMessage(id="m1", role="user", content="earlier turn"), + UserMessage( + id="m2", + role="user", + content=[ + ImageInputContent( + type="image", + mime_type="image/png", + source=InputContentUrlSource( + type="url", value="https://example.com/a.png" + ), + ) + ], + ), + ] + ), + ) + ) + assert conversation.sent == [] + + +class TestForcedCloseDuringARun: + """A forced close cancels the future the run stashed on the session. + `CancelledError` is a BaseException, so a bare one escapes both `run()` and + the SSE writer and the client gets no terminal event at all.""" + + async def test_a_forced_close_still_ends_the_run_with_a_terminal_event(self): + from ag_ui_antigravity.session_manager import AntigravitySession + + agent = AntigravityAgent() + conversation = FakeConversation([[BLOCK]]) + session = make_session(conversation) + agent._sessions.get_or_create = _fixed_session(session) + agent._sessions._sessions["t1"] = session + + events = [] + run = agent.run(run_input()) + + # Start the run, let it reach the blocking read, then cancel the future + # it stashed -- exactly what a forced close does. + task = asyncio.create_task(asyncio.wait_for(_drain(run, events), 5)) + await asyncio.sleep(0.1) + assert session.pending_step is not None, "the run never reached a read" + session.pending_step.cancel() + await task + + types = [e.type for e in events] + terminals = [t for t in types if t in ("RUN_FINISHED", "RUN_ERROR")] + assert len(terminals) == 1, f"expected one terminal event, got {types}" + assert terminals[0] == "RUN_ERROR" + assert events[-1].code == "CANCELLED" + + +async def _drain(run, events): + async for event in run: + events.append(event) + + +class TestSessionTornDownMidRun: + """A forced close pops the session from the manager, but the run holds a + direct reference and may be suspended in an await. Resuming onto it drives + a shut-down harness and parks requests on a bridge that was already failed + -- all on an object no sweeper can reach again.""" + + async def test_a_run_aborts_when_its_session_is_closed_underneath_it(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("should not stream", done=True)]]) + session = make_session(conversation) + agent._sessions._sessions["t1"] = session + agent._sessions.get_or_create = _fixed_session(session) + + # Torn down between runs, exactly as a forced close leaves it. + await agent._sessions.close("t1") + assert session.closed + + events = [e async for e in agent.run(run_input())] + types = [e.type for e in events] + + assert types[-1] == "RUN_ERROR" + assert events[-1].code == "CANCELLED" + assert conversation.sent == [], "drove a harness that was shut down" + + async def test_a_close_during_send_does_not_park_on_a_dead_session(self): + agent = AntigravityAgent() + + class ClosingConversation(FakeConversation): + def __init__(self, session_ref): + super().__init__([[text_step("late", done=True)]]) + self._ref = session_ref + + async def send(self, prompt): + # The manager tears the session down while we are suspended. + self._ref["s"].closed = True + await super().send(prompt) + + ref = {} + conversation = ClosingConversation(ref) + session = make_session(conversation) + ref["s"] = session + agent._sessions.get_or_create = _fixed_session(session) + + events = [e async for e in agent.run(run_input())] + assert events[-1].type == "RUN_ERROR" + assert events[-1].code == "CANCELLED" + assert not session.is_parked, "left a request parked on a dead session" + + async def test_a_live_session_is_unaffected(self): + agent = AntigravityAgent() + conversation = FakeConversation([[text_step("fine", done=True)]]) + session = make_session(conversation) + agent._sessions.get_or_create = _fixed_session(session) + events = [e async for e in agent.run(run_input())] + assert events[-1].type == "RUN_FINISHED" + assert conversation.sent == ["hi"] + + async def test_a_close_mid_stream_is_reported_as_cancelled(self): + """`yield step` suspends in the SSE writer awaiting the socket. + + A forced close landing there sets `step_iter = None`; resuming without + a guard raises AttributeError, so a deliberate operator shutdown + reaches the client as an agent bug with internal exception text. + """ + agent = AntigravityAgent() + conversation = FakeConversation( + [[text_step("one"), text_step("two"), text_step("three", done=True)]] + ) + session = make_session(conversation) + agent._sessions._sessions["t1"] = session + agent._sessions.get_or_create = _fixed_session(session) + + events = [] + async for event in agent.run(run_input()): + events.append(event) + # Close while the consumer holds the run mid-stream, exactly as an + # awaiting SSE writer would. + if event.type == "TEXT_MESSAGE_CONTENT" and not session.closed: + await agent._sessions.close("t1") + + types = [e.type for e in events] + assert types[-1] == "RUN_ERROR" + assert events[-1].code == "CANCELLED", events[-1].message + assert "AttributeError" not in (events[-1].message or "") + assert len([t for t in types if t in ("RUN_FINISHED", "RUN_ERROR")]) == 1 + + async def test_the_cancellation_reason_reaches_the_client(self): + """'session closed' and 'client disconnected' differ operationally.""" + agent = AntigravityAgent() + session = make_session(FakeConversation([[text_step("x", done=True)]])) + session.closed = True + agent._sessions.get_or_create = _fixed_session(session) + + events = [e async for e in agent.run(run_input())] + assert events[-1].code == "CANCELLED" + assert "closed while the run was in progress" in events[-1].message diff --git a/integrations/antigravity/python/tests/test_endpoint.py b/integrations/antigravity/python/tests/test_endpoint.py new file mode 100644 index 0000000000..e21653b431 --- /dev/null +++ b/integrations/antigravity/python/tests/test_endpoint.py @@ -0,0 +1,304 @@ +"""Endpoint tests: SSE wire format and multi-agent mounting.""" + +import json + +import pytest +from ag_ui.core import RunFinishedEvent, RunStartedEvent, TextMessageContentEvent +from fastapi.testclient import TestClient + +from ag_ui_antigravity.endpoint import create_antigravity_app + + +class StubAgent: + def __init__(self, events=None, boom=False): + self._events = events or [] + self._boom = boom + + async def run(self, input_data): + if self._boom: + raise RuntimeError("kaboom") + for event in self._events: + yield event + + async def close(self): + pass + + +def payload(thread_id="t1"): + return { + "threadId": thread_id, + "runId": "r1", + "state": {}, + "messages": [{"id": "m1", "role": "user", "content": "hi"}], + "tools": [], + "context": [], + "forwardedProps": {}, + } + + +def parse_sse(text): + return [ + json.loads(line[len("data: "):]) + for line in text.splitlines() + if line.startswith("data: ") + ] + + +def test_wire_format_is_data_json_with_camelcase_aliases(): + agent = StubAgent( + [ + RunStartedEvent(type="RUN_STARTED", thread_id="t1", run_id="r1"), + TextMessageContentEvent( + type="TEXT_MESSAGE_CONTENT", message_id="m", delta="hi" + ), + RunFinishedEvent(type="RUN_FINISHED", thread_id="t1", run_id="r1"), + ] + ) + client = TestClient(create_antigravity_app(agent, path="/")) + response = client.post("/", json=payload()) + + assert response.status_code == 200 + assert "text/event-stream" in response.headers["content-type"] + + events = parse_sse(response.text) + assert [e["type"] for e in events] == [ + "RUN_STARTED", + "TEXT_MESSAGE_CONTENT", + "RUN_FINISHED", + ] + # camelCase aliases, and None fields omitted. + assert events[0]["threadId"] == "t1" + assert "rawEvent" not in events[0] + assert events[1]["messageId"] == "m" + + +def test_agent_exception_becomes_a_run_error_frame(): + client = TestClient(create_antigravity_app(StubAgent(boom=True), path="/")) + events = parse_sse(client.post("/", json=payload()).text) + assert events[-1]["type"] == "RUN_ERROR" + assert events[-1]["code"] == "AGENT_ERROR" + + +def test_an_unencodable_event_becomes_a_run_error_and_ends_the_stream(): + """One bad event must not truncate the stream without explanation.""" + + class Unencodable(RunFinishedEvent): + def model_dump_json(self, **kwargs): + raise ValueError("circular reference") + + agent = StubAgent( + [ + RunStartedEvent(type="RUN_STARTED", thread_id="t1", run_id="r1"), + Unencodable(type="RUN_FINISHED", thread_id="t1", run_id="r1"), + TextMessageContentEvent( + type="TEXT_MESSAGE_CONTENT", message_id="m", delta="never" + ), + ] + ) + client = TestClient(create_antigravity_app(agent, path="/")) + events = parse_sse(client.post("/", json=payload()).text) + + assert [e["type"] for e in events] == ["RUN_STARTED", "RUN_ERROR"] + assert events[-1]["code"] == "ENCODING_ERROR" + assert "circular reference" in events[-1]["message"] + + +def test_a_named_sse_frame_uses_the_same_single_newline_framing(): + """The last-resort error frame must still be valid SSE for the client.""" + from ag_ui_antigravity.endpoint import _sse + + named = _sse('{"error": "x"}', event="error").encode().decode() + assert named == 'event: error\ndata: {"error": "x"}\n\n' + assert _sse('{"a": 1}').encode().decode() == 'data: {"a": 1}\n\n' + + +def test_an_error_raised_mid_stream_still_terminates_the_run(): + class HalfwayAgent(StubAgent): + async def run(self, input_data): + yield RunStartedEvent(type="RUN_STARTED", thread_id="t1", run_id="r1") + raise RuntimeError("harness died") + + client = TestClient(create_antigravity_app(HalfwayAgent(), path="/")) + events = parse_sse(client.post("/", json=payload()).text) + assert [e["type"] for e in events] == ["RUN_STARTED", "RUN_ERROR"] + assert "harness died" in events[-1]["message"] + + +def test_agents_are_closed_when_the_app_shuts_down(): + class ClosingAgent(StubAgent): + closed = False + + async def close(self): + self.closed = True + + first, second = ClosingAgent(), ClosingAgent() + app = create_antigravity_app({"a": first, "b": second}) + with TestClient(app): + pass + assert first.closed and second.closed + + +def test_a_single_agent_is_closed_when_the_app_shuts_down(): + class ClosingAgent(StubAgent): + closed = False + + async def close(self): + self.closed = True + + agent = ClosingAgent() + with TestClient(create_antigravity_app(agent, path="/")): + pass + assert agent.closed + + +def test_a_nested_mount_path_is_honoured(): + app = create_antigravity_app( + {"agentic_chat": StubAgent([RunStartedEvent( + type="RUN_STARTED", thread_id="t1", run_id="r1")])}, + path="/antigravity", + capabilities={"identity": {"type": "antigravity"}}, + ) + client = TestClient(app) + assert client.post("/antigravity/agentic_chat", json=payload()).status_code == 200 + assert client.get("/antigravity/agentic_chat/capabilities").status_code == 200 + + +def test_explicit_capabilities_replace_the_defaults(): + app = create_antigravity_app( + StubAgent(), path="/", capabilities={"identity": {"type": "custom"}} + ) + body = TestClient(app).get("/capabilities").json() + assert body == {"identity": {"type": "custom"}} + + +def test_multiple_agents_mount_on_distinct_paths(): + app = create_antigravity_app( + { + "agentic_chat": StubAgent( + [RunFinishedEvent(type="RUN_FINISHED", thread_id="t1", run_id="r1")] + ), + "human_in_the_loop": StubAgent( + [RunStartedEvent(type="RUN_STARTED", thread_id="t1", run_id="r1")] + ), + } + ) + client = TestClient(app) + assert parse_sse(client.post("/agentic_chat", json=payload()).text)[0][ + "type" + ] == "RUN_FINISHED" + assert parse_sse(client.post("/human_in_the_loop", json=payload()).text)[0][ + "type" + ] == "RUN_STARTED" + + +def test_capabilities_endpoint_is_served_per_agent(): + from ag_ui_antigravity import AntigravityAgent + + app = create_antigravity_app({"agentic_chat": AntigravityAgent()}) + client = TestClient(app) + response = client.get("/agentic_chat/capabilities") + assert response.status_code == 200 + assert response.json()["tools"]["supported"] is True + + +def test_capabilities_payload_matches_the_agui_schema(): + """The TS client parses this strictly; loose booleans would throw there. + + Mirrors AgentCapabilitiesSchema: every top-level key is an optional nested + object (plus `custom`, a free-form record). + """ + from ag_ui_antigravity import AntigravityAgent + from ag_ui_antigravity.endpoint import default_capabilities + + known = { + "identity", + "transport", + "tools", + "output", + "state", + "multiAgent", + "reasoning", + "multimodal", + "execution", + "humanInTheLoop", + "custom", + } + payload = default_capabilities(AntigravityAgent()) + assert set(payload) <= known, set(payload) - known + for key, value in payload.items(): + assert isinstance(value, dict), f"{key} must be a nested object, got {value!r}" + + +def test_capabilities_reflect_agent_configuration(): + from ag_ui_antigravity import AntigravityAgent + from ag_ui_antigravity.endpoint import default_capabilities + + plain = default_capabilities(AntigravityAgent(tool_approval=False)) + approving = default_capabilities(AntigravityAgent(tool_approval=True)) + assert plain["humanInTheLoop"]["approvals"] is False + assert approving["humanInTheLoop"]["approvals"] is True + + no_tools = default_capabilities(AntigravityAgent(enable_frontend_tools=False)) + assert no_tools["tools"]["clientProvided"] is False + + +def test_invalid_payload_is_rejected(): + client = TestClient(create_antigravity_app(StubAgent(), path="/")) + assert client.post("/", json={"nonsense": True}).status_code == 422 + + +def test_capabilities_do_not_advertise_unreachable_interrupts(): + """The ask_question built-in is gated by CapabilitiesConfig, not just by + the hook, so an allowlist that omits it makes interrupts unreachable.""" + from google.antigravity import CapabilitiesConfig + from google.antigravity.types import BuiltinTools + + from ag_ui_antigravity import AntigravityAgent + from ag_ui_antigravity.endpoint import default_capabilities + + chat_only = AntigravityAgent( + capabilities=CapabilitiesConfig(enabled_tools=[BuiltinTools.FINISH]) + ) + assert chat_only.ask_question_reachable is False + assert default_capabilities(chat_only)["humanInTheLoop"]["interrupts"] is False + + disabled = AntigravityAgent( + capabilities=CapabilitiesConfig(disabled_tools=[BuiltinTools.ASK_QUESTION]) + ) + assert disabled.ask_question_reachable is False + + default = AntigravityAgent() + assert default.ask_question_reachable is True + assert default_capabilities(default)["humanInTheLoop"]["interrupts"] is True + + # Approvals are their own interrupt source, independent of ask_question. + approving = AntigravityAgent( + capabilities=CapabilitiesConfig(enabled_tools=[BuiltinTools.FINISH]), + tool_approval=True, + ) + assert default_capabilities(approving)["humanInTheLoop"]["interrupts"] is True + + +def test_capabilities_do_not_advertise_unreachable_code_execution(): + from google.antigravity import CapabilitiesConfig + from google.antigravity.types import BuiltinTools + + from ag_ui_antigravity import AntigravityAgent + from ag_ui_antigravity.endpoint import default_capabilities + + no_shell = AntigravityAgent( + capabilities=CapabilitiesConfig(disabled_tools=[BuiltinTools.RUN_COMMAND]) + ) + assert default_capabilities(no_shell)["execution"]["codeExecution"] is False + assert default_capabilities(AntigravityAgent())["execution"]["codeExecution"] is True + + +def test_human_in_the_loop_is_not_advertised_when_no_channel_exists(): + from ag_ui_antigravity import AntigravityAgent + from ag_ui_antigravity.endpoint import default_capabilities + + none = AntigravityAgent( + enable_frontend_tools=False, enable_ask_question=False, tool_approval=False + ) + assert default_capabilities(none)["humanInTheLoop"]["supported"] is False + assert default_capabilities(AntigravityAgent())["humanInTheLoop"]["supported"] is True diff --git a/integrations/antigravity/python/tests/test_event_translator.py b/integrations/antigravity/python/tests/test_event_translator.py new file mode 100644 index 0000000000..fec951d6c6 --- /dev/null +++ b/integrations/antigravity/python/tests/test_event_translator.py @@ -0,0 +1,884 @@ +"""Translator tests, built from the step shapes the real harness emits. + +The fixtures mirror what a live `receive_steps()` actually yields (captured +during the P0 spike): the same logical step re-emitted with a growing +`content`, an incremental `content_delta`, and `status` moving ACTIVE -> DONE. +""" + +import json + +import pytest +from google.antigravity import types as ag_types + +from ag_ui_antigravity.event_translator import EventTranslator + + +def step(**kwargs): + defaults = dict( + id="traj:1", + step_index=1, + type=ag_types.StepType.TEXT_RESPONSE, + source=ag_types.StepSource.MODEL, + target=ag_types.StepTarget.USER, + status=ag_types.StepStatus.ACTIVE, + ) + defaults.update(kwargs) + return ag_types.Step(**defaults) + + +async def collect(translator, steps): + events = await collect_open(translator, steps) + async for event in translator.close(): + events.append(event) + return events + + +async def collect_open(translator, steps): + """Like ``collect`` but leaves the turn's blocks open.""" + events = [] + for s in steps: + async for event in translator.translate(s): + events.append(event) + return events + + +def types_of(events): + return [e.type for e in events] + + +class TestTextStreaming: + async def test_deltas_become_one_bookended_message(self): + t = EventTranslator() + events = await collect( + t, + [ + step(content_delta="hello", content="hello"), + step(content_delta=" from", content="hello from"), + step( + content_delta="", + content="hello from ag", + status=ag_types.StepStatus.DONE, + ), + ], + ) + assert types_of(events) == [ + "TEXT_MESSAGE_START", + "TEXT_MESSAGE_CONTENT", + "TEXT_MESSAGE_CONTENT", + "TEXT_MESSAGE_END", + ] + + async def test_streams_delta_not_accumulated_content(self): + t = EventTranslator() + events = await collect( + t, + [ + step(content_delta="hello", content="hello"), + step(content_delta=" world", content="hello world"), + ], + ) + deltas = [e.delta for e in events if e.type == "TEXT_MESSAGE_CONTENT"] + assert deltas == ["hello", " world"] + + async def test_one_message_id_per_step_index(self): + t = EventTranslator() + events = await collect( + t, + [ + step(step_index=1, content_delta="a"), + step(step_index=1, content_delta="b"), + step(step_index=2, content_delta="c"), + ], + ) + ids = {e.message_id for e in events if e.type == "TEXT_MESSAGE_CONTENT"} + assert len(ids) == 2 + + async def test_user_echo_step_is_never_translated(self): + """The harness echoes our own prompt back as a source=USER step.""" + t = EventTranslator() + events = await collect( + t, + [ + step( + source=ag_types.StepSource.USER, + target=ag_types.StepTarget.UNKNOWN, + content_delta="what I typed", + content="what I typed", + status=ag_types.StepStatus.DONE, + ) + ], + ) + assert events == [] + + +class TestThinking: + async def test_thinking_is_bookended_and_closed_before_text(self): + t = EventTranslator() + events = await collect( + t, + [ + step(type=ag_types.StepType.THINKING, thinking_delta="hmm"), + step(content_delta="answer"), + ], + ) + assert types_of(events) == [ + "THINKING_START", + "THINKING_TEXT_MESSAGE_START", + "THINKING_TEXT_MESSAGE_CONTENT", + "THINKING_TEXT_MESSAGE_END", + "THINKING_END", + "TEXT_MESSAGE_START", + "TEXT_MESSAGE_CONTENT", + "TEXT_MESSAGE_END", + ] + + + async def test_consecutive_thinking_deltas_share_one_block(self): + t = EventTranslator() + events = await collect( + t, + [ + step(type=ag_types.StepType.THINKING, thinking_delta="one"), + step(type=ag_types.StepType.THINKING, thinking_delta=" two"), + ], + ) + assert types_of(events) == [ + "THINKING_START", + "THINKING_TEXT_MESSAGE_START", + "THINKING_TEXT_MESSAGE_CONTENT", + "THINKING_TEXT_MESSAGE_CONTENT", + "THINKING_TEXT_MESSAGE_END", + "THINKING_END", + ] + + async def test_thinking_after_text_closes_the_text_block_first(self): + t = EventTranslator() + events = await collect( + t, + [ + step(content_delta="let me reconsider"), + step(type=ag_types.StepType.THINKING, thinking_delta="hmm"), + ], + ) + order = types_of(events) + assert order.index("TEXT_MESSAGE_END") < order.index( + "THINKING_TEXT_MESSAGE_START" + ) + + async def test_reopened_text_after_thinking_gets_a_fresh_message_id(self): + """The first message was closed for the thinking block and cannot reopen.""" + t = EventTranslator() + events = await collect( + t, + [ + step(step_index=1, content_delta="a"), + step(step_index=1, type=ag_types.StepType.THINKING, thinking_delta="h"), + step(step_index=1, content_delta="b"), + ], + ) + starts = [e for e in events if e.type == "TEXT_MESSAGE_START"] + assert len(starts) == 2 + assert starts[0].message_id != starts[1].message_id + + async def test_a_thinking_step_with_no_delta_emits_nothing(self): + t = EventTranslator() + events = await collect(t, [step(type=ag_types.StepType.THINKING)]) + assert events == [] + + async def test_close_flushes_an_open_thinking_block(self): + t = EventTranslator() + events = await collect( + t, [step(type=ag_types.StepType.THINKING, thinking_delta="unterminated")] + ) + assert types_of(events)[-2:] == [ + "THINKING_TEXT_MESSAGE_END", + "THINKING_END", + ] + + async def test_a_tool_call_closes_an_open_thinking_block_first(self): + t = EventTranslator() + call = ag_types.ToolCall(name="view_file", args={"p": "/x"}, id="tc-1") + events = await collect( + t, + [ + step(type=ag_types.StepType.THINKING, thinking_delta="hmm"), + step(step_index=2, tool_calls=[call]), + ], + ) + order = types_of(events) + assert order.index("THINKING_TEXT_MESSAGE_END") < order.index("TOOL_CALL_START") + + +class TestToolCalls: + async def test_tool_call_closes_text_before_starting(self): + t = EventTranslator() + call = ag_types.ToolCall(name="view_file", args={"path": "/tmp/x"}, id="tc-1") + events = await collect( + t, + [ + step(content_delta="let me look"), + step(step_index=2, tool_calls=[call]), + step( + step_index=2, + tool_calls=[call], + status=ag_types.StepStatus.DONE, + ), + ], + ) + order = types_of(events) + assert order.index("TEXT_MESSAGE_END") < order.index("TOOL_CALL_START") + assert "TOOL_CALL_ARGS" in order + assert order.count("TOOL_CALL_END") == 1 + + async def test_args_are_not_re_emitted_across_step_repeats(self): + t = EventTranslator() + call = ag_types.ToolCall(name="view_file", args={"path": "/tmp/x"}, id="tc-1") + events = await collect(t, [step(tool_calls=[call]), step(tool_calls=[call])]) + assert types_of(events).count("TOOL_CALL_ARGS") == 1 + + async def test_builtin_call_without_id_still_gets_stable_identity(self): + """Built-in tool calls arrive with id=None, so identity is positional.""" + t = EventTranslator() + call = ag_types.ToolCall(name="list_directory", args={"path": "/"}) + events = await collect(t, [step(tool_calls=[call]), step(tool_calls=[call])]) + starts = [e for e in events if e.type == "TOOL_CALL_START"] + assert len(starts) == 1 + assert starts[0].tool_call_id + + async def test_suppressed_tool_is_not_emitted(self): + """Frontend tools are emitted by the UI bridge, not the translator.""" + t = EventTranslator() + t.suppress_tool("set_theme") + call = ag_types.ToolCall(name="set_theme", args={"theme": "dark"}, id="tc-9") + events = await collect(t, [step(tool_calls=[call])]) + assert types_of(events) == [] + + async def test_keys_added_at_done_become_the_result(self): + """Real harness shape: list_directory grows a `results` key at DONE.""" + t = EventTranslator() + running = ag_types.ToolCall( + name="list_directory", args={"directory_path": "/ws"}, id="tc-2" + ) + done = ag_types.ToolCall( + name="list_directory", + args={"directory_path": "/ws", "results": [{"name": "note.txt"}]}, + id="tc-2", + ) + events = await collect( + t, + [ + step(tool_calls=[running]), + step(tool_calls=[done], status=ag_types.StepStatus.DONE), + ], + ) + results = [e for e in events if e.type == "TOOL_CALL_RESULT"] + assert len(results) == 1 + assert "note.txt" in results[0].content + + async def test_tool_that_surfaces_no_result_still_closes(self): + """view_file adds no keys at DONE; the call must not hang open.""" + t = EventTranslator() + call = ag_types.ToolCall( + name="view_file", args={"file_path": "/ws/a.txt"}, id="tc-3" + ) + events = await collect( + t, + [ + step(tool_calls=[call]), + step(tool_calls=[call], status=ag_types.StepStatus.DONE), + ], + ) + types = types_of(events) + assert types.count("TOOL_CALL_END") == 1 + results = [e for e in events if e.type == "TOOL_CALL_RESULT"] + assert len(results) == 1 + assert "without returning any output" in results[0].content + + + async def test_builtin_calls_can_be_hidden_from_the_client(self): + t = EventTranslator(emit_builtin_tool_calls=False) + events = await collect( + t, + [ + step( + tool_calls=[ + ag_types.ToolCall(name="view_file", args={"file_path": "/x"}) + ] + ) + ], + ) + assert events == [] + + async def test_hiding_builtins_still_emits_custom_tool_calls(self): + t = EventTranslator(emit_builtin_tool_calls=False) + events = await collect( + t, + [step(tool_calls=[ag_types.ToolCall(name="my_tool", args={}, id="tc-1")])], + ) + assert "TOOL_CALL_START" in types_of(events) + + async def test_unserializable_args_do_not_break_the_stream(self): + """A tool arg the harness surfaces as a non-JSON value must not kill the run.""" + t = EventTranslator() + call = ag_types.ToolCall(name="my_tool", args={"blob": object()}, id="tc-1") + events = await collect(t, [step(tool_calls=[call])]) + args = [e for e in events if e.type == "TOOL_CALL_ARGS"][0] + assert "_unserializable" in args.delta + + async def test_args_deltas_always_concatenate_into_one_json_document(self): + """The client does `function.arguments += delta`, so everything emitted + for one call must join into exactly ONE parseable JSON document. + + A grown JSON object is not a string extension of the smaller one (the + closing brace moves), so re-sending the whole dict on any change gives + the client `{...}{...}` -- unparseable, and for a built-in it also + leaks the tool's result into its arguments. + """ + t = EventTranslator() + running = ag_types.ToolCall( + name="list_directory", args={"directory_path": "/ws"}, id="tc-1" + ) + grown = ag_types.ToolCall( + name="list_directory", + args={"directory_path": "/ws", "results": [{"name": "secret.txt"}]}, + id="tc-1", + ) + events = await collect( + t, + [ + step(tool_calls=[running]), + step(tool_calls=[running]), + step(tool_calls=[grown], status=ag_types.StepStatus.DONE), + ], + ) + + buffer = "".join( + e.delta for e in events if e.type == "TOOL_CALL_ARGS" + ) + parsed = json.loads(buffer) # would raise on `{...}{...}` + assert parsed == {"directory_path": "/ws"} + assert "results" not in parsed, "the result leaked into the arguments" + + result = [e for e in events if e.type == "TOOL_CALL_RESULT"][0] + assert "secret.txt" in result.content + + async def test_a_shape_change_does_not_corrupt_the_buffer(self): + t = EventTranslator() + events = await collect( + t, + [ + step( + tool_calls=[ + ag_types.ToolCall(name="t", args={"a": 1, "b": 2}, id="tc-1") + ] + ), + step(tool_calls=[ag_types.ToolCall(name="t", args={"z": 9}, id="tc-1")]), + ], + ) + buffer = "".join(e.delta for e in events if e.type == "TOOL_CALL_ARGS") + assert json.loads(buffer) == {"a": 1, "b": 2} + + async def test_empty_args_still_produce_a_parseable_buffer(self): + t = EventTranslator() + events = await collect( + t, [step(tool_calls=[ag_types.ToolCall(name="t", args={}, id="tc-1")])] + ) + buffer = "".join(e.delta for e in events if e.type == "TOOL_CALL_ARGS") + assert json.loads(buffer) == {} + + async def test_several_keys_added_at_done_are_returned_as_one_json_result(self): + t = EventTranslator() + running = ag_types.ToolCall(name="search_web", args={"q": "x"}, id="tc-1") + done = ag_types.ToolCall( + name="search_web", + args={"q": "x", "results": ["a"], "count": 1}, + id="tc-1", + ) + events = await collect( + t, + [ + step(tool_calls=[running]), + step(tool_calls=[done], status=ag_types.StepStatus.DONE), + ], + ) + content = [e for e in events if e.type == "TOOL_CALL_RESULT"][0].content + assert json.loads(content) == {"results": ["a"], "count": 1} + + +class TestErrorSteps: + async def test_an_error_step_is_not_translated(self): + """Platform errors surface as exceptions; an ERROR step is not output.""" + t = EventTranslator() + events = await collect( + t, + [ + step( + content_delta="half an answer", + status=ag_types.StepStatus.ERROR, + ) + ], + ) + assert events == [] + + async def test_an_error_step_does_not_disturb_an_open_block(self): + t = EventTranslator() + events = await collect( + t, + [ + step(content_delta="hello"), + step(step_index=2, content_delta="x", status=ag_types.StepStatus.ERROR), + step(content_delta=" world"), + ], + ) + deltas = [e.delta for e in events if e.type == "TEXT_MESSAGE_CONTENT"] + assert deltas == ["hello", " world"] + assert types_of(events).count("TEXT_MESSAGE_START") == 1 + + +class TestStructuredOutput: + async def test_finish_structured_output_becomes_state_snapshot(self): + t = EventTranslator() + events = await collect( + t, + [ + step( + type=ag_types.StepType.FINISH, + structured_output={"steps": ["a", "b"]}, + status=ag_types.StepStatus.DONE, + ) + ], + ) + snapshots = [e for e in events if e.type == "STATE_SNAPSHOT"] + assert len(snapshots) == 1 + assert snapshots[0].snapshot == {"steps": ["a", "b"]} + + async def test_custom_mode_emits_custom_event(self): + t = EventTranslator(structured_output_as="custom") + events = await collect( + t, + [ + step( + type=ag_types.StepType.FINISH, + structured_output={"x": 1}, + status=ag_types.StepStatus.DONE, + ) + ], + ) + customs = [e for e in events if e.type == "CUSTOM"] + assert len(customs) == 1 + assert customs[0].value == {"x": 1} + + async def test_an_open_text_block_is_closed_before_the_state_snapshot(self): + t = EventTranslator() + events = await collect( + t, + [ + step(content_delta="here you go"), + step( + type=ag_types.StepType.FINISH, + structured_output={"x": 1}, + status=ag_types.StepStatus.DONE, + ), + ], + ) + order = types_of(events) + assert order.index("TEXT_MESSAGE_END") < order.index("STATE_SNAPSHOT") + + async def test_a_redelivered_finish_step_does_not_repeat_the_snapshot(self): + t = EventTranslator() + finish = step( + type=ag_types.StepType.FINISH, + structured_output={"x": 1}, + status=ag_types.StepStatus.DONE, + ) + events = await collect(t, [finish, finish]) + assert types_of(events).count("STATE_SNAPSHOT") == 1 + + async def test_scalar_structured_output_is_wrapped(self): + t = EventTranslator() + events = await collect( + t, + [ + step( + type=ag_types.StepType.FINISH, + structured_output="done", + status=ag_types.StepStatus.DONE, + ) + ], + ) + snap = [e for e in events if e.type == "STATE_SNAPSHOT"][0] + assert snap.snapshot == {"structured_output": "done"} + + +class TestClose: + async def test_close_flushes_open_text_block(self): + t = EventTranslator() + events = await collect(t, [step(content_delta="unterminated")]) + assert types_of(events)[-1] == "TEXT_MESSAGE_END" + + async def test_close_flushes_open_tool_call(self): + t = EventTranslator() + call = ag_types.ToolCall(name="run_command", args={"cmd": "ls"}, id="tc-3") + events = await collect(t, [step(tool_calls=[call])]) + assert types_of(events)[-1] == "TOOL_CALL_END" + + +class TestSubagents: + async def test_subagent_invocation_brackets_a_step(self): + t = EventTranslator() + running = ag_types.ToolCall( + name="start_subagent", args={"name": "researcher"}, id="sa-1" + ) + events = await collect( + t, + [ + step(tool_calls=[running]), + step(tool_calls=[running], status=ag_types.StepStatus.DONE), + ], + ) + types = types_of(events) + assert types.index("STEP_STARTED") < types.index("STEP_FINISHED") + started = [e for e in events if e.type == "STEP_STARTED"][0] + assert started.step_name == "researcher" + + async def test_unnamed_subagent_falls_back_to_trajectory_id(self): + t = EventTranslator() + call = ag_types.ToolCall(name="start_subagent", args={}, id="sa-2") + events = await collect(t, [step(id="traj-abc:3", tool_calls=[call])]) + started = [e for e in events if e.type == "STEP_STARTED"][0] + assert started.step_name == "subagent:traj-abc" + + async def test_close_flushes_an_open_subagent_step(self): + t = EventTranslator() + call = ag_types.ToolCall(name="start_subagent", args={"name": "x"}, id="sa-3") + events = await collect(t, [step(tool_calls=[call])]) + assert types_of(events)[-1] == "STEP_FINISHED" + + async def test_an_open_text_block_is_closed_before_step_started(self): + t = EventTranslator() + call = ag_types.ToolCall(name="start_subagent", args={"name": "x"}, id="sa-9") + events = await collect( + t, + [ + step(content_delta="delegating this"), + step(step_index=2, tool_calls=[call]), + ], + ) + order = types_of(events) + assert order.index("TEXT_MESSAGE_END") < order.index("STEP_STARTED") + + async def test_an_open_text_block_is_closed_before_step_finished(self): + t = EventTranslator() + call = ag_types.ToolCall(name="start_subagent", args={"name": "x"}, id="sa-4") + await collect_open(t, [step(tool_calls=[call])]) + events = [] + async for event in t.translate(step(step_index=2, content_delta="summary")): + events.append(event) + async for event in t.close_subagent_step("x"): + events.append(event) + order = types_of(events) + assert order.index("TEXT_MESSAGE_END") < order.index("STEP_FINISHED") + + async def test_closing_a_subagent_step_that_never_opened_emits_nothing(self): + t = EventTranslator() + assert [e async for e in t.close_subagent_step("never-started")] == [] + + async def test_a_subagent_step_is_opened_only_once(self): + t = EventTranslator() + call = ag_types.ToolCall(name="start_subagent", args={"name": "x"}, id="sa-5") + events = await collect(t, [step(tool_calls=[call]), step(tool_calls=[call])]) + assert types_of(events).count("STEP_STARTED") == 1 + + async def test_an_unnamed_subagent_without_a_trajectory_falls_back_to_the_index(self): + t = EventTranslator() + call = ag_types.ToolCall(name="start_subagent", args={}, id="sa-6") + events = await collect(t, [step(id="", step_index=7, tool_calls=[call])]) + started = [e for e in events if e.type == "STEP_STARTED"][0] + assert started.step_name == "subagent:7" + + async def test_a_non_string_name_arg_falls_back_to_the_trajectory_id(self): + t = EventTranslator() + call = ag_types.ToolCall(name="start_subagent", args={"name": 7}, id="sa-7") + events = await collect(t, [step(id="traj-z:1", tool_calls=[call])]) + started = [e for e in events if e.type == "STEP_STARTED"][0] + assert started.step_name == "subagent:traj-z" + + async def test_a_later_alias_is_used_when_name_is_absent(self): + t = EventTranslator() + call = ag_types.ToolCall( + name="start_subagent", args={"agent_name": "planner"}, id="sa-8" + ) + events = await collect(t, [step(tool_calls=[call])]) + assert [e for e in events if e.type == "STEP_STARTED"][0].step_name == "planner" + + +class TestTurnSpanningRedelivery: + """A turn that parks spans several AG-UI runs; the harness re-delivers the + steps it already sent, and translating them twice makes the client re-run + the same tool. The translator is turn-scoped precisely to prevent that.""" + + async def test_close_emits_the_real_tool_call_id_not_the_internal_key(self): + t = EventTranslator() + call = ag_types.ToolCall(name="search_web", args={"q": "x"}, id="tc-real") + events = await collect(t, [step(tool_calls=[call])]) + end = [e for e in events if e.type == "TOOL_CALL_END"][0] + start = [e for e in events if e.type == "TOOL_CALL_START"][0] + assert end.tool_call_id == "tc-real" + assert end.tool_call_id == start.tool_call_id + + async def test_a_call_flushed_at_a_run_boundary_still_delivers_its_result(self): + """close() bookends a still-running call so the run's stream is valid. + + That must not be mistaken for completion: the harness delivers the + result on a later run of the same turn, and dropping it leaves the + client's tool card without output while the model got the full text. + """ + t = EventTranslator() + running = ag_types.ToolCall( + name="list_directory", args={"directory_path": "/ws"}, id="tc-1" + ) + + # run 1: the call opens, then the run ends parked -> close() flushes it. + run1 = await collect(t, [step(tool_calls=[running])]) + assert types_of(run1) == [ + "TOOL_CALL_START", + "TOOL_CALL_ARGS", + "TOOL_CALL_END", + ] + + # run 2: a redelivered ACTIVE adds nothing... + run2 = [] + async for event in t.translate(step(tool_calls=[running])): + run2.append(event) + assert run2 == [], types_of(run2) + + # ...but the real DONE carries the result through, without a second + # START (the client already has the card) or a second END. + done = ag_types.ToolCall( + name="list_directory", + args={"directory_path": "/ws", "results": [{"name": "note.txt"}]}, + id="tc-1", + ) + async for event in t.translate( + step(tool_calls=[done], status=ag_types.StepStatus.DONE) + ): + run2.append(event) + assert types_of(run2) == ["TOOL_CALL_RESULT"], types_of(run2) + assert "note.txt" in run2[0].content + + # And a redelivery after genuine completion is still ignored. + after = [] + async for event in t.translate(step(tool_calls=[done])): + after.append(event) + assert after == [] + + async def test_redelivered_completed_call_is_ignored(self): + t = EventTranslator() + call = ag_types.ToolCall(name="search_web", args={"q": "x"}, id="tc-2") + first = await collect( + t, + [ + step(tool_calls=[call]), + step(tool_calls=[call], status=ag_types.StepStatus.DONE), + ], + ) + assert types_of(first).count("TOOL_CALL_START") == 1 + + again = [] + async for event in t.translate(step(tool_calls=[call])): + again.append(event) + assert again == [] + + async def test_redelivered_text_step_is_not_replayed(self): + t = EventTranslator() + await collect( + t, + [ + step(content_delta="hello", content="hello"), + step(content_delta=" world", content="hello world", + status=ag_types.StepStatus.DONE), + ], + ) + replay = [] + async for event in t.translate(step(content_delta="hello", content="hello")): + replay.append(event) + assert replay == [] + + async def test_reopened_step_gets_a_fresh_message_id(self): + """A message closed at a run boundary can never be reopened.""" + t = EventTranslator() + run1 = await collect(t, [step(content_delta="partial")]) + first_id = [e for e in run1 if e.type == "TEXT_MESSAGE_START"][0].message_id + + run2 = [] + async for event in t.translate(step(content_delta=" more")): + run2.append(event) + second_id = [e for e in run2 if e.type == "TEXT_MESSAGE_START"][0].message_id + assert second_id != first_id + + +class TestSubagentRedelivery: + """A subagent bracket must survive the same redelivery the tool calls do, + and must wrap the call rather than closing before it.""" + + def _call(self): + return ag_types.ToolCall( + name="start_subagent", args={"name": "researcher"}, id="sa-r" + ) + + async def test_bracket_closes_after_the_call_it_wraps(self): + t = EventTranslator() + call = self._call() + events = await collect( + t, + [ + step(tool_calls=[call]), + step(tool_calls=[call], status=ag_types.StepStatus.DONE), + ], + ) + order = types_of(events) + assert order.index("STEP_STARTED") < order.index("TOOL_CALL_START") + assert order.index("TOOL_CALL_END") < order.index("STEP_FINISHED") + assert order.index("TOOL_CALL_RESULT") < order.index("STEP_FINISHED") + + async def test_redelivered_subagent_step_emits_nothing(self): + t = EventTranslator() + call = self._call() + await collect( + t, + [ + step(tool_calls=[call]), + step(tool_calls=[call], status=ag_types.StepStatus.DONE), + ], + ) + replay = [] + async for event in t.translate(step(tool_calls=[call])): + replay.append(event) + assert replay == [], types_of(replay) + + async def test_bracket_is_emitted_even_when_builtin_cards_are_suppressed(self): + t = EventTranslator(emit_builtin_tool_calls=False) + call = self._call() + events = await collect( + t, + [ + step(tool_calls=[call]), + step(tool_calls=[call], status=ag_types.StepStatus.DONE), + ], + ) + assert types_of(events) == ["STEP_STARTED", "STEP_FINISHED"] + + +class TestThinkingBracketing: + """@ag-ui/client's verifyEvents is unconditionally in AbstractAgent's + pipeline and rejects a THINKING_TEXT_MESSAGE_START with no thinking step in + progress -- which aborts the entire run, not just the thinking block.""" + + def _thinking(self, delta, **kw): + return step(type=ag_types.StepType.THINKING, thinking_delta=delta, **kw) + + async def test_thinking_messages_are_wrapped_in_a_thinking_step(self): + t = EventTranslator() + events = await collect(t, [self._thinking("hmm"), self._thinking(" ok")]) + assert types_of(events) == [ + "THINKING_START", + "THINKING_TEXT_MESSAGE_START", + "THINKING_TEXT_MESSAGE_CONTENT", + "THINKING_TEXT_MESSAGE_CONTENT", + "THINKING_TEXT_MESSAGE_END", + "THINKING_END", + ] + + async def test_a_tool_call_closes_the_thinking_step_first(self): + t = EventTranslator() + call = ag_types.ToolCall(name="view_file", args={}, id="tc-1") + events = await collect( + t, [self._thinking("plan"), step(step_index=2, tool_calls=[call])] + ) + order = types_of(events) + assert order.index("THINKING_END") < order.index("TOOL_CALL_START") + assert order.index("THINKING_TEXT_MESSAGE_END") < order.index("THINKING_END") + + async def test_every_thinking_step_is_balanced(self): + """Mirrors verifyEvents' state machine: never two STARTs, never an END + without a START.""" + t = EventTranslator() + call = ag_types.ToolCall(name="view_file", args={}, id="tc-2") + events = await collect( + t, + [ + self._thinking("a"), + step(content_delta="answer"), + self._thinking("b", step_index=3), + step(step_index=4, tool_calls=[call]), + self._thinking("c", step_index=5), + ], + ) + depth = 0 + for kind in types_of(events): + if kind == "THINKING_START": + assert depth == 0, "nested THINKING_START" + depth += 1 + elif kind == "THINKING_END": + assert depth == 1, "THINKING_END without a START" + depth -= 1 + assert depth == 0, "unclosed thinking step at end of run" + + +class TestBuiltinFailures: + """TOOL_CALL_RESULT has no error field, so a failure has to say so in + `content`. An empty string is indistinguishable from a tool that + legitimately produced nothing, and the client renders it as success.""" + + async def test_a_reported_error_is_named_in_the_result(self): + t = EventTranslator() + running = ag_types.ToolCall( + name="run_command", args={"command": "rm /nope"}, id="tc-1" + ) + failed = ag_types.ToolCall( + name="run_command", + args={"command": "rm /nope", "error": "permission denied"}, + id="tc-1", + ) + events = await collect( + t, + [ + step(tool_calls=[running]), + step(tool_calls=[failed], status=ag_types.StepStatus.DONE), + ], + ) + content = [e for e in events if e.type == "TOOL_CALL_RESULT"][0].content + assert "error executing run_command" in content + assert "permission denied" in content + + async def test_no_output_is_distinguishable_from_a_failure(self): + t = EventTranslator() + call = ag_types.ToolCall(name="view_file", args={"file_path": "/a"}, id="tc-2") + events = await collect( + t, + [ + step(tool_calls=[call]), + step(tool_calls=[call], status=ag_types.StepStatus.DONE), + ], + ) + content = [e for e in events if e.type == "TOOL_CALL_RESULT"][0].content + assert content, "an empty result reads as success to the client" + assert "view_file" in content + assert "error" not in content.lower() + + async def test_a_real_result_is_unchanged(self): + t = EventTranslator() + running = ag_types.ToolCall(name="list_directory", args={"p": "/"}, id="tc-3") + done = ag_types.ToolCall( + name="list_directory", args={"p": "/", "results": ["a.txt"]}, id="tc-3" + ) + events = await collect( + t, + [ + step(tool_calls=[running]), + step(tool_calls=[done], status=ag_types.StepStatus.DONE), + ], + ) + content = [e for e in events if e.type == "TOOL_CALL_RESULT"][0].content + assert "a.txt" in content + assert "error" not in content.lower() diff --git a/integrations/antigravity/python/tests/test_harness_pool.py b/integrations/antigravity/python/tests/test_harness_pool.py new file mode 100644 index 0000000000..8c7b1e3f6d --- /dev/null +++ b/integrations/antigravity/python/tests/test_harness_pool.py @@ -0,0 +1,383 @@ +"""Unit tests for harness process pooling. + +These run without a harness: process startup is faked so placement, capacity, +reaping and the SDK-compatibility guards can be tested in CI. The properties +that need a real harness -- isolation, cold resume, process death, parking -- +live in ``test_harness_pool_live.py``. +""" + +from __future__ import annotations + +import asyncio +import copy + +import pytest +from google.antigravity import Agent, LocalAgentConfig, LocalOpenAIAgentConfig +from google.antigravity.connections.local.local_connection import ( + LocalConnectionStrategy, +) +from google.antigravity.hooks import hook_runner as hook_runner_lib +from google.antigravity.hooks import policy +from google.antigravity.tools import tool_runner as tool_runner_lib + +from ag_ui_antigravity.agent import ( + AntigravityAgent, + _PooledLocalAgentConfig, + _PooledResumableOpenAIConfig, +) +from ag_ui_antigravity.harness_pool import ( + HarnessPool, + _HarnessProcess, + HarnessPoolClosed, + PooledStrategy, + _partition_key, + to_pooled, +) + + +class _FakeProcess: + """Stands in for a booted harness. Mirrors what HarnessPool touches.""" + + def __init__(self, key, capacity): + self.key = key + self.capacity = capacity + self.leases = 0 + self.idle_since = None + self.dead = asyncio.Event() + self.terminated = False + + @property + def has_capacity(self) -> bool: + return not self.dead.is_set() and self.leases < self.capacity + + async def terminate(self) -> None: + self.terminated = True + self.dead.set() + + async def open_socket(self): # pragma: no cover - live tests cover the real one + raise AssertionError("fake process has no socket") + + def stderr_tail(self) -> str: + return "" + + +@pytest.fixture +def fake_pool(monkeypatch): + """A pool whose processes are fakes, so nothing is spawned.""" + started = [] + + async def _start(*, binary_path, save_dir, env, capacity, boot_timeout): + process = _FakeProcess( + _partition_key(binary_path=binary_path, save_dir=save_dir, env=env), + capacity, + ) + started.append(process) + return process + + monkeypatch.setattr( + "ag_ui_antigravity.harness_pool._HarnessProcess.start", _start + ) + return started + + +def _pool(**kwargs) -> HarnessPool: + kwargs.setdefault("idle_grace_seconds", 1000) # never reap mid-test + return HarnessPool(**kwargs) + + +async def _acquire(pool, *, save_dir="/save", env=None, binary="/bin/harness"): + return await pool.acquire(binary_path=binary, save_dir=save_dir, env=env) + + +# ---------------------------------------------------------------------- +# The Agent.model_copy trap +# ---------------------------------------------------------------------- + + +def test_pool_survives_deep_copy_by_identity(): + """``Agent.__init__`` deep-copies its config, which must not clone the pool. + + A cloned pool hands out leases on processes the original believes it owns, + so every Agent silently gets its own process and pooling does nothing. + """ + pool = _pool() + assert copy.deepcopy(pool) is pool + assert copy.copy(pool) is pool + + +def test_agent_construction_preserves_the_pool(): + """The regression test for the above, through the real SDK code path.""" + pool = _pool() + config = _PooledLocalAgentConfig( + harness_pool=pool, policies=[policy.allow_all()] + ) + agent = Agent(config) + # Agent stores config.model_copy(deep=True); the pool must come through + # by identity or pooling is silently disabled. + assert agent._config.harness_pool is pool + + +def test_adapter_reuses_one_save_dir_across_sessions(): + """``save_dir`` is fixed at process start, so it must be stable. + + Left to the SDK, each config calls ``tempfile.mkdtemp()``, which would put + every session in its own pool partition (a process each) and break cold + resume, which restores from ``conversation_id`` + ``save_dir``. + """ + adapter = AntigravityAgent(model="m") + first = adapter._resolved_save_dir() + second = adapter._resolved_save_dir() + assert first == second + + explicit = AntigravityAgent(model="m", save_dir="/tmp/explicit-save") + assert explicit._resolved_save_dir() == "/tmp/explicit-save" + + +# ---------------------------------------------------------------------- +# Partitioning +# ---------------------------------------------------------------------- + + +def test_partition_key_separates_process_scoped_settings(): + base = dict(binary_path="/bin/h", save_dir="/s", env=None) + assert _partition_key(**base) == _partition_key(**base) + assert _partition_key(**{**base, "save_dir": "/other"}) != _partition_key(**base) + assert _partition_key(**{**base, "binary_path": "/other"}) != _partition_key(**base) + assert _partition_key(**{**base, "env": {"A": "1"}}) != _partition_key(**base) + # Ordering of env must not create a spurious partition. + assert _partition_key( + binary_path="/bin/h", save_dir="/s", env={"A": "1", "B": "2"} + ) == _partition_key(binary_path="/bin/h", save_dir="/s", env={"B": "2", "A": "1"}) + + +async def test_different_save_dirs_do_not_share_a_process(fake_pool): + pool = _pool() + await _acquire(pool, save_dir="/one") + await _acquire(pool, save_dir="/two") + assert pool.stats()["processes"] == 2 + assert pool.stats()["partitions"] == 2 + + +# ---------------------------------------------------------------------- +# Placement and capacity +# ---------------------------------------------------------------------- + + +async def test_conversations_share_one_process(fake_pool): + pool = _pool(max_conversations_per_process=8) + for _ in range(5): + await _acquire(pool) + assert pool.stats() == { + "processes": 1, + "conversations": 5, + "max_conversations_per_process": 8, + "partitions": 1, + } + + +async def test_spills_to_a_new_process_at_capacity(fake_pool): + pool = _pool(max_conversations_per_process=2) + for _ in range(5): + await _acquire(pool) + assert pool.stats()["processes"] == 3 # 2 + 2 + 1 + assert pool.stats()["conversations"] == 5 + + +async def test_max_one_per_process_is_supported(fake_pool): + """The documented escape hatch back to one process per conversation.""" + pool = _pool(max_conversations_per_process=1) + for _ in range(3): + await _acquire(pool) + assert pool.stats()["processes"] == 3 + assert pool.stats()["conversations"] == 3 + + +def test_real_process_capacity_accounting(): + """Covers the real ``_HarnessProcess.has_capacity``. + + The fake above reimplements it, so the placement tests alone cannot catch a + regression here -- a mutation removing the ``leases < capacity`` term left + every other test in this file passing. + """ + # __new__ so no subprocess is spawned and no background tasks are started. + process = _HarnessProcess.__new__(_HarnessProcess) + process.dead = asyncio.Event() + process.capacity = 2 + process.leases = 0 + assert process.has_capacity + process.leases = 1 + assert process.has_capacity + process.leases = 2 + assert not process.has_capacity, "capacity must bound placement" + process.leases = 0 + process.dead.set() + assert not process.has_capacity, "a dead process must never be placed on" + + +def test_zero_capacity_is_rejected(): + with pytest.raises(ValueError, match="at least 1"): + HarnessPool(max_conversations_per_process=0) + + +async def test_released_slot_is_reused(fake_pool): + pool = _pool(max_conversations_per_process=1) + lease = await _acquire(pool) + await lease.release() + await _acquire(pool) + # The freed slot is taken rather than a second process booted. + assert pool.stats()["processes"] == 1 + assert pool.stats()["conversations"] == 1 + + +async def test_release_is_idempotent(fake_pool): + """The strategy releases on both the error path and __aexit__.""" + pool = _pool() + lease = await _acquire(pool) + await lease.release() + await lease.release() + assert pool.stats()["conversations"] == 0 + + +async def test_dead_process_is_not_handed_out(fake_pool): + pool = _pool(max_conversations_per_process=8) + lease = await _acquire(pool) + fake_pool[0].dead.set() + await lease.release() + await _acquire(pool) + assert len(fake_pool) == 2, "a dead process must not be reused" + + +# ---------------------------------------------------------------------- +# Reaping and shutdown +# ---------------------------------------------------------------------- + + +async def test_idle_process_is_reaped_after_the_grace_period(fake_pool): + pool = HarnessPool(max_conversations_per_process=4, idle_grace_seconds=0.2) + lease = await _acquire(pool) + await lease.release() + assert pool.stats()["processes"] == 1 + await asyncio.sleep(1.0) + assert pool.stats()["processes"] == 0 + assert fake_pool[0].terminated + await pool.shutdown() + + +async def test_busy_process_is_not_reaped(fake_pool): + pool = HarnessPool(max_conversations_per_process=4, idle_grace_seconds=0.2) + await _acquire(pool) # never released + await asyncio.sleep(1.0) + assert pool.stats()["processes"] == 1 + assert not fake_pool[0].terminated + await pool.shutdown() + + +async def test_shutdown_terminates_everything(fake_pool): + pool = _pool(max_conversations_per_process=1) + for _ in range(3): + await _acquire(pool) + await pool.shutdown() + assert pool.stats()["processes"] == 0 + assert all(p.terminated for p in fake_pool) + + +async def test_acquire_after_shutdown_is_refused(fake_pool): + pool = _pool() + await pool.shutdown() + with pytest.raises(HarnessPoolClosed): + await _acquire(pool) + + +# ---------------------------------------------------------------------- +# SDK compatibility guards +# ---------------------------------------------------------------------- + + +def _build_strategy(config): + return config.create_strategy( + tool_runner=tool_runner_lib.ToolRunner(tools=[]), + hook_runner=hook_runner_lib.HookRunner(), + ) + + +def test_both_shipped_strategies_are_poolable(): + """Pooling reproduces ``LocalConnectionStrategy.__aenter__``. + + If either config starts building a strategy that overrides it, the pooled + path would skip real backend startup -- so this must fail loudly rather + than silently stop sharing processes. + """ + for config in ( + LocalAgentConfig(policies=[policy.allow_all()]), + LocalOpenAIAgentConfig( + model="m", base_url="http://x", policies=[policy.allow_all()] + ), + ): + strategy = _build_strategy(config) + assert isinstance(strategy, LocalConnectionStrategy) + assert type(strategy).__aenter__ is LocalConnectionStrategy.__aenter__, ( + f"{type(strategy).__name__} now overrides __aenter__; harness " + "pooling would skip its backend startup." + ) + + +def test_harness_config_is_still_buildable_and_polymorphic(): + """Pooling calls ``_build_harness_config`` and clears ``cascade_id``.""" + native = _build_strategy(LocalAgentConfig(policies=[policy.allow_all()])) + openai = _build_strategy( + LocalOpenAIAgentConfig( + model="m", base_url="http://x", policies=[policy.allow_all()] + ) + ) + for strategy in (native, openai): + config = strategy._build_harness_config() + assert hasattr(config, "cascade_id") + config.ClearField("cascade_id") + assert config.cascade_id == "" + # The OpenAI path must keep its own override, or pooling would send the + # wrong model wiring. + assert type(openai)._build_harness_config is not ( + LocalConnectionStrategy._build_harness_config + ) + + +def test_pooled_configs_return_a_pooled_strategy(): + pool = _pool() + for config in ( + _PooledLocalAgentConfig(harness_pool=pool, policies=[policy.allow_all()]), + _PooledResumableOpenAIConfig( + model="m", + base_url="http://x", + harness_pool=pool, + policies=[policy.allow_all()], + ), + ): + strategy = _build_strategy(config) + assert isinstance(strategy, PooledStrategy) + assert strategy._pool is pool + # Delegation must reach the wrapped strategy's own attributes. + assert strategy.inner is not None + assert strategy._binary_path + + +def test_to_pooled_rejects_a_foreign_strategy(): + class NotLocal: + pass + + with pytest.raises(RuntimeError, match="LocalConnectionStrategy"): + to_pooled(NotLocal(), pool=_pool()) + + +def test_to_pooled_rejects_a_strategy_with_its_own_startup(): + """``LiteRTConnectionStrategy`` is exactly this case: it boots a server.""" + + class CustomStartup(LocalConnectionStrategy): + async def __aenter__(self) -> None: # pragma: no cover - never run + pass + + strategy = CustomStartup( + tool_runner=tool_runner_lib.ToolRunner(tools=[]), + hook_runner=hook_runner_lib.HookRunner(), + ) + with pytest.raises(RuntimeError, match="overrides __aenter__"): + to_pooled(strategy, pool=_pool()) diff --git a/integrations/antigravity/python/tests/test_harness_pool_live.py b/integrations/antigravity/python/tests/test_harness_pool_live.py new file mode 100644 index 0000000000..0e6311cab9 --- /dev/null +++ b/integrations/antigravity/python/tests/test_harness_pool_live.py @@ -0,0 +1,584 @@ +"""Live gates for harness pooling -- the properties only a real harness can settle. + +Pooling trades per-session isolation for shared fate, and no Google document +states that one ``localharness`` process may host several conversations. The +wire protocol is shaped for it and it demonstrably works, but every assumption +that buys is checked here against a real process: + +* conversations really do share one process, and stay isolated while they do + (tools, history, workspace); +* releasing one conversation does not kill its siblings, and a failed + initialization does not either; +* cold resume still works when the conversation is pooled; +* **a dead process makes its conversations raise rather than hang** -- a hang + would wedge a thread forever, because ``SessionManager`` holds its per-session + lock across ``receive_steps``; +* **a parked conversation does not block its siblings** -- this integration + needs human-in-the-loop parking and pooling at the same time, and if they do + not compose then parked conversations must be placed on their own process. + + pytest tests/test_harness_pool_live.py -m live +""" + +from __future__ import annotations + +import asyncio +import os +import subprocess +import sys + +import pytest + +sys.path.insert( + 0, os.path.join(os.path.dirname(__file__), "..", "examples", "server") +) + +pytestmark = [ + pytest.mark.live, + pytest.mark.skipif( + not os.environ.get("OPENAI_API_KEY"), + reason="OPENAI_API_KEY is required for live tests", + ), +] + +MODEL = os.environ.get("ANTIGRAVITY_TEST_MODEL", "gpt-4.1-mini") +SHIM_PORT = int(os.environ.get("ANTIGRAVITY_POOL_TEST_PORT", "8967")) + + +def harness_pids() -> list: + out = subprocess.run( + ["pgrep", "-f", "localharness"], capture_output=True, text=True + ) + return out.stdout.split() + + +@pytest.fixture(scope="module") +def base_url(): + from openai_proxy import start_background + + return start_background(port=SHIM_PORT) + + +def make_tool(name: str, value: str): + async def _tool() -> str: + return value + + _tool.__name__ = f"get_{name}" + _tool.__doc__ = f"Returns the {name} code.\n\n Args:\n None.\n " + return _tool + + +def build_agent( + *, base_url, pool, save_dir, workspace, tools=(), instructions=None, hooks=() +): + """A pooled Agent, built exactly the way the adapter builds one.""" + from google.antigravity import Agent, CapabilitiesConfig + from google.antigravity.hooks import policy + + from ag_ui_antigravity.agent import _PooledResumableOpenAIConfig + + config = _PooledResumableOpenAIConfig( + model=MODEL, + base_url=base_url, + harness_pool=pool, + save_dir=str(save_dir), + workspaces=[str(workspace)], + system_instructions=instructions + or "Use the tool available to you and report its value verbatim, in one short sentence.", + tools=list(tools), + hooks=list(hooks), + capabilities=CapabilitiesConfig(enable_subagents=False), + policies=[policy.allow_all()], + ) + return Agent(config) + + +async def run_turn(agent, prompt: str) -> str: + from google.antigravity import types as ag_types + + conversation = agent.conversation + await conversation.send(prompt) + text = "" + async for step in conversation.receive_steps(): + if step.source == ag_types.StepSource.MODEL and step.content_delta: + text += step.content_delta + return text + + +@pytest.fixture +async def pool(): + from ag_ui_antigravity.harness_pool import HarnessPool + + created = HarnessPool(max_conversations_per_process=8, idle_grace_seconds=600) + try: + yield created + finally: + await created.shutdown() + + +# ---------------------------------------------------------------------- +# Sharing and isolation +# ---------------------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_conversations_share_one_process_and_stay_isolated( + base_url, pool, tmp_path +): + words = {"alpha": "ALPHA_7", "beta": "BETA_8", "gamma": "GAMMA_9"} + save_dir = tmp_path / "save" + agents = {} + for name, value in words.items(): + workspace = tmp_path / name + workspace.mkdir() + agent = build_agent( + base_url=base_url, + pool=pool, + save_dir=save_dir, + workspace=workspace, + tools=[make_tool(name, value)], + ) + await agent.__aenter__() + agents[name] = agent + + try: + assert pool.stats()["processes"] == 1, "three conversations, one process" + assert pool.stats()["conversations"] == 3 + + results = await asyncio.gather( + *[ + run_turn(agents[n], f"What is the {n} code? Use your tool.") + for n in words + ] + ) + + for name, text in zip(words, results): + assert words[name] in text, f"{name} did not get its own value: {text!r}" + for other, value in words.items(): + if other != name: + assert value not in text, ( + f"{name} leaked {other}'s value: {text!r}" + ) + + # History isolation: no conversation may contain another's value. + for name, agent in agents.items(): + history = " ".join( + step.content for step in agent.conversation.history if step.content + ) + for other, value in words.items(): + if other != name: + assert value not in history, f"{name} history leaked {other}" + + # Tool isolation: beta was never given alpha's tool. + cross = await run_turn( + agents["beta"], + "Call the tool named get_alpha. If you have no such tool, reply NO_TOOL.", + ) + assert "ALPHA_7" not in cross + finally: + for agent in agents.values(): + await agent.__aexit__(None, None, None) + + +@pytest.mark.asyncio +async def test_workspace_stays_per_conversation(base_url, pool, tmp_path): + """``workspaces`` rides in HarnessConfig, so pooling must not merge them. + + This is the load-bearing claim for multi-tenant sandboxing: if pooling + collapsed workspaces, every tenant would see every other tenant's files. + """ + save_dir = tmp_path / "save" + first_ws = tmp_path / "first" + second_ws = tmp_path / "second" + first_ws.mkdir() + second_ws.mkdir() + (first_ws / "secret.txt").write_text("FIRST_ONLY_MARKER\n") + (second_ws / "other.txt").write_text("nothing interesting\n") + + instructions = ( + "List the files in your workspace and report their names. Be brief." + ) + second = build_agent( + base_url=base_url, + pool=pool, + save_dir=save_dir, + workspace=second_ws, + instructions=instructions, + ) + first = build_agent( + base_url=base_url, + pool=pool, + save_dir=save_dir, + workspace=first_ws, + instructions=instructions, + ) + await second.__aenter__() + await first.__aenter__() + try: + assert pool.stats()["processes"] == 1 + question = "What files are in your workspace? Just list the names." + + # Positive control first. Without it the negative assertion below is + # vacuous: a model that simply declines to list anything would "pass". + owner_text = await run_turn(first, question) + assert "secret.txt" in owner_text, ( + "positive control failed -- the owning conversation cannot see its " + f"own workspace, so the isolation assertion proves nothing: {owner_text!r}" + ) + + other_text = await run_turn(second, question) + assert "secret.txt" not in other_text, ( + f"pooling leaked the other conversation's workspace: {other_text!r}" + ) + finally: + await first.__aexit__(None, None, None) + await second.__aexit__(None, None, None) + + +@pytest.mark.asyncio +async def test_releasing_one_conversation_spares_the_others( + base_url, pool, tmp_path +): + save_dir = tmp_path / "save" + keep = build_agent( + base_url=base_url, pool=pool, save_dir=save_dir, workspace=tmp_path + ) + drop = build_agent( + base_url=base_url, pool=pool, save_dir=save_dir, workspace=tmp_path + ) + await keep.__aenter__() + await drop.__aenter__() + try: + assert pool.stats()["processes"] == 1 + await drop.__aexit__(None, None, None) + + assert pool.stats()["processes"] == 1, "the shared process must survive" + assert pool.stats()["conversations"] == 1 + text = await run_turn(keep, "Say STILL_ALIVE and nothing else.") + assert "STILL_ALIVE" in text + finally: + await keep.__aexit__(None, None, None) + + +@pytest.mark.asyncio +async def test_failed_initialization_spares_the_siblings(base_url, pool, tmp_path): + """The unpooled path kills the process on init failure; pooling must not. + + Doing so would destroy every co-tenant because of one conversation's bad + config. + """ + save_dir = tmp_path / "save" + healthy = build_agent( + base_url=base_url, pool=pool, save_dir=save_dir, workspace=tmp_path + ) + await healthy.__aenter__() + try: + broken = build_agent( + base_url=base_url, pool=pool, save_dir=save_dir, workspace=tmp_path + ) + # Force the init exchange to fail without touching the process. + broken._config.harness_pool # noqa: B018 - the pool is shared by design + strategy_timeout = 0.001 + with pytest.raises(Exception): + original = broken._config.create_strategy + + def _impatient(*, tool_runner, hook_runner): + strategy = original(tool_runner=tool_runner, hook_runner=hook_runner) + strategy._init_timeout = strategy_timeout + return strategy + + broken._config.create_strategy = _impatient + await broken.__aenter__() + + # The slot must have been handed back, and the process left alone. + assert pool.stats()["processes"] == 1 + assert pool.stats()["conversations"] == 1 + text = await run_turn(healthy, "Say STILL_ALIVE and nothing else.") + assert "STILL_ALIVE" in text + finally: + await healthy.__aexit__(None, None, None) + + +# ---------------------------------------------------------------------- +# P2 gate -- shared fate +# ---------------------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_process_death_raises_rather_than_hangs(base_url, pool, tmp_path): + """A killed harness must fail its conversations promptly. + + Ship-blocker if it hangs: ``SessionManager`` holds a per-session lock across + ``receive_steps``, so a conversation that never returns wedges that thread + for the lifetime of the server. + """ + save_dir = tmp_path / "save" + agents = [ + build_agent( + base_url=base_url, pool=pool, save_dir=save_dir, workspace=tmp_path + ) + for _ in range(2) + ] + for agent in agents: + await agent.__aenter__() + + assert pool.stats()["processes"] == 1 + process = next(iter(pool._processes.values()))[0] + + # Kill it the way a crash would, with no chance to clean up. + process._process.kill() + await asyncio.wait_for(process.dead.wait(), timeout=10) + + for agent in agents: + with pytest.raises(BaseException): + # Must settle quickly; a timeout here IS the failure. + await asyncio.wait_for( + run_turn(agent, "Say anything."), timeout=30 + ) + + # And the pool must not hand the corpse to anyone else. + assert not process.has_capacity + + +# ---------------------------------------------------------------------- +# P2.5 gate -- parking versus pooling +# ---------------------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_a_parked_conversation_does_not_block_its_siblings( + base_url, pool, tmp_path +): + """HITL parking and pooling must compose, or density must drop to 1. + + A frontend tool parks by awaiting a Future that only the next HTTP run + resolves. If that stalls co-tenants, one human thinking about an approval + freezes every other conversation on the process -- in which case parked + conversations need their own process. + """ + save_dir = tmp_path / "save" + parked = asyncio.Event() + never = asyncio.get_running_loop().create_future() + + async def lookup_favorite_color(user: str) -> str: + """Looks up a user's favorite color. Returns the color name. + + Args: + user: The user's name. + """ + parked.set() + return await never # parked for the whole test + + parker = build_agent( + base_url=base_url, + pool=pool, + save_dir=save_dir, + workspace=tmp_path, + tools=[lookup_favorite_color], + instructions=( + "You must call the lookup_favorite_color tool to answer, then state " + "the colour verbatim." + ), + ) + sibling_a = build_agent( + base_url=base_url, + pool=pool, + save_dir=save_dir, + workspace=tmp_path, + tools=[make_tool("alpha", "ALPHA_7")], + ) + sibling_b = build_agent( + base_url=base_url, + pool=pool, + save_dir=save_dir, + workspace=tmp_path, + tools=[make_tool("beta", "BETA_8")], + ) + for agent in (parker, sibling_a, sibling_b): + await agent.__aenter__() + + reader = None + try: + assert pool.stats()["processes"] == 1, "all three must share a process" + + async def drain(): + async for _ in parker.conversation.receive_steps(): + pass + + await parker.conversation.send("What is Ada's favourite colour? Use the tool.") + reader = asyncio.create_task(drain()) + await asyncio.wait_for(parked.wait(), timeout=120) + assert not never.done() + + # The gate: with one conversation parked indefinitely, the others must + # still complete full turns on the same process. + results = await asyncio.wait_for( + asyncio.gather( + run_turn(sibling_a, "What is the alpha code? Use your tool."), + run_turn(sibling_b, "What is the beta code? Use your tool."), + ), + timeout=180, + ) + assert "ALPHA_7" in results[0], f"sibling A blocked behind the park: {results[0]!r}" + assert "BETA_8" in results[1], f"sibling B blocked behind the park: {results[1]!r}" + assert parked.is_set() and not never.done(), "the park must still be held" + finally: + if reader is not None: + reader.cancel() + try: + await reader + except (asyncio.CancelledError, Exception): + pass + if not never.done(): + never.set_result("octarine") + for agent in (sibling_a, sibling_b, parker): + try: + await agent.__aexit__(None, None, None) + except Exception: + pass + + +# ---------------------------------------------------------------------- +# Cold resume and leaks +# ---------------------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_cold_resume_rehydrates_history_on_a_pooled_conversation( + base_url, pool, tmp_path +): + """Resume must work when the conversation lives on a shared process. + + Exercises the ``initial_history`` rehydration in ``PooledStrategy``, which + fresh-conversation tests cannot reach. + """ + from google.antigravity import types as ag_types + + save_dir = tmp_path / "save" + first = build_agent( + base_url=base_url, + pool=pool, + save_dir=save_dir, + workspace=tmp_path, + instructions="Answer in one short sentence. Remember what the user tells you.", + ) + await first.__aenter__() + try: + await run_turn(first, "Remember this: my passphrase is octarine.") + conversation_id = first.conversation_id + assert conversation_id + finally: + await first.__aexit__(None, None, None) + + from google.antigravity import Agent, CapabilitiesConfig + from google.antigravity.hooks import policy + + from ag_ui_antigravity.agent import _PooledResumableOpenAIConfig + + resumed = Agent( + _PooledResumableOpenAIConfig( + model=MODEL, + base_url=base_url, + harness_pool=pool, + save_dir=str(save_dir), + workspaces=[str(tmp_path)], + system_instructions="Answer in one short sentence.", + capabilities=CapabilitiesConfig(enable_subagents=False), + policies=[policy.allow_all()], + conversation_id=conversation_id, + session_continuation_mode=ag_types.SessionContinuationMode.CREATE_OR_RESUME, + ) + ) + await resumed.__aenter__() + try: + assert resumed.conversation.history, "resume returned no prior history" + text = await run_turn(resumed, "What is my passphrase?") + assert "octarine" in text.lower(), f"cold resume lost the history: {text!r}" + finally: + await resumed.__aexit__(None, None, None) + + +@pytest.mark.asyncio +async def test_adapter_shares_one_process_across_threads(base_url, tmp_path): + """End-to-end through ``AntigravityAgent.run()`` -- the path the dojo uses. + + Everything above drives the pooled configs directly. This checks the whole + adapter: two AG-UI threads, one harness process, correct terminal events. + """ + from ag_ui.core import EventType, RunAgentInput, UserMessage + + from ag_ui_antigravity import AntigravityAgent + + adapter = AntigravityAgent( + model=MODEL, + base_url=base_url, + save_dir=str(tmp_path / "save"), + workspaces=[str(tmp_path)], + system_instructions="Reply with exactly the word PONG.", + enable_frontend_tools=False, + enable_ask_question=False, + max_conversations_per_process=4, + ) + try: + for thread in ("thread-one", "thread-two"): + events = [ + event + async for event in adapter.run( + RunAgentInput( + thread_id=thread, + run_id=f"run-{thread}", + state={}, + messages=[UserMessage(id="m1", role="user", content="ping")], + tools=[], + context=[], + forwarded_props={}, + ) + ) + ] + kinds = [e.type for e in events] + assert kinds[0] == EventType.RUN_STARTED + assert kinds[-1] == EventType.RUN_FINISHED, ( + f"{thread} did not finish cleanly: {kinds}" + ) + + assert adapter.harness_pool.stats()["processes"] == 1, ( + "two AG-UI threads must share one harness process" + ) + assert adapter.harness_pool.stats()["conversations"] == 2 + finally: + await adapter.close() + + assert adapter.harness_pool.stats()["processes"] == 0, ( + "close() must tear the pool down" + ) + + +@pytest.mark.asyncio +async def test_churn_leaves_no_harness_processes(base_url, tmp_path): + """Sessions come and go; processes must not accumulate.""" + from ag_ui_antigravity.harness_pool import HarnessPool + + before = set(harness_pids()) + churn_pool = HarnessPool( + max_conversations_per_process=2, idle_grace_seconds=0.5 + ) + save_dir = tmp_path / "save" + try: + for _ in range(6): + agent = build_agent( + base_url=base_url, + pool=churn_pool, + save_dir=save_dir, + workspace=tmp_path, + ) + await agent.__aenter__() + await agent.__aexit__(None, None, None) + # Give the reaper a couple of cycles. + await asyncio.sleep(2.0) + assert churn_pool.stats()["processes"] == 0 + finally: + await churn_pool.shutdown() + + await asyncio.sleep(1.0) + leaked = set(harness_pids()) - before + assert not leaked, f"leaked harness processes: {leaked}" diff --git a/integrations/antigravity/python/tests/test_live_openai.py b/integrations/antigravity/python/tests/test_live_openai.py new file mode 100644 index 0000000000..bdcba88727 --- /dev/null +++ b/integrations/antigravity/python/tests/test_live_openai.py @@ -0,0 +1,468 @@ +"""Live end-to-end tests: real harness subprocess, real model, real HTTP. + +Opt-in -- these start a Go subprocess and spend tokens: + + export OPENAI_API_KEY=... + pytest tests/test_live_openai.py -m live + +They exercise the whole path the dojo uses: FastAPI endpoint -> SSE -> +AntigravityAgent -> SessionManager -> Antigravity harness -> OpenAI. +""" + +from __future__ import annotations + +import asyncio +import json +import os +import shutil +import sys +import tempfile +import uuid + +import httpx +import pytest + +sys.path.insert( + 0, os.path.join(os.path.dirname(__file__), "..", "examples", "server") +) + +pytestmark = [ + pytest.mark.live, + pytest.mark.skipif( + not os.environ.get("OPENAI_API_KEY"), + reason="OPENAI_API_KEY is required for live tests", + ), +] + +MODEL = os.environ.get("ANTIGRAVITY_TEST_MODEL", "gpt-4.1-mini") + + +@pytest.fixture(scope="module") +def base_url(): + from openai_proxy import start_background + + return start_background(port=8955) + + +@pytest.fixture(scope="module") +def workspace(): + with tempfile.TemporaryDirectory(prefix="ag-ui-antigravity-") as path: + yield path + + +@pytest.fixture(scope="module") +def short_workspace(): + """A workspace with a deliberately short path. + + macOS temp directories are ~75 characters of high-entropy text. A model + asked to repeat one back inside a tool call gets it wrong often enough to + make a test flaky, and the harness treats a bad path as fatal. + """ + path = os.path.join("/tmp", f"agw{os.getpid()}") + os.makedirs(path, exist_ok=True) + try: + yield path + finally: + shutil.rmtree(path, ignore_errors=True) + + +def run_input(thread_id, prompt, *, tools=None, messages=None, resume=None): + payload = { + "threadId": thread_id, + "runId": str(uuid.uuid4()), + "state": {}, + "messages": messages + or [{"id": str(uuid.uuid4()), "role": "user", "content": prompt}], + "tools": tools or [], + "context": [], + "forwardedProps": {}, + } + if resume is not None: + payload["resume"] = resume + return payload + + +async def collect(agent, payload): + from ag_ui.core import RunAgentInput + + events = [] + async for event in agent.run(RunAgentInput.model_validate(payload)): + events.append(event) + return events + + +def text_of(events): + return "".join( + e.delta for e in events if e.type == "TEXT_MESSAGE_CONTENT" + ) + + +def types_of(events): + return [e.type for e in events] + + +def assert_lifecycle(events): + """AG-UI's core contract: one RUN_STARTED, exactly one terminal event.""" + types = types_of(events) + assert types[0] == "RUN_STARTED" + assert types.count("RUN_STARTED") == 1 + terminals = [t for t in types if t in ("RUN_FINISHED", "RUN_ERROR")] + assert len(terminals) == 1, f"expected one terminal event, got {terminals}" + assert types[-1] == terminals[0] + if "RUN_ERROR" in types: + assert "RUN_FINISHED" not in types + + +@pytest.mark.asyncio +async def test_streams_text_and_bookends_the_run(base_url, workspace): + from ag_ui_antigravity import AntigravityAgent + + agent = AntigravityAgent( + model=MODEL, + base_url=base_url, + system_instructions="Answer in one short sentence.", + workspaces=[workspace], + ) + try: + events = await asyncio.wait_for( + collect(agent, run_input("live-1", "Say exactly: hello from antigravity")), + 180, + ) + finally: + await agent.close() + + assert_lifecycle(events) + types = types_of(events) + assert "TEXT_MESSAGE_START" in types + assert types.index("TEXT_MESSAGE_START") < types.index("TEXT_MESSAGE_END") + assert "hello from antigravity" in text_of(events).lower() + + +@pytest.mark.asyncio +async def test_multi_turn_reuses_the_session_and_keeps_history(base_url, workspace): + from ag_ui_antigravity import AntigravityAgent + + agent = AntigravityAgent( + model=MODEL, + base_url=base_url, + system_instructions="Answer in one short sentence.", + workspaces=[workspace], + ) + thread = "live-multiturn" + try: + first = await asyncio.wait_for( + collect(agent, run_input(thread, "My favourite colour is octarine. Acknowledge.")), + 180, + ) + assert_lifecycle(first) + + second = await asyncio.wait_for( + collect(agent, run_input(thread, "What is my favourite colour?")), 180 + ) + assert_lifecycle(second) + # History lives in the harness process, proving the session was reused. + assert "octarine" in text_of(second).lower() + assert agent.session_manager.stats()["live_sessions"] == 1 + finally: + await agent.close() + + +@pytest.mark.asyncio +async def test_frontend_tool_parks_then_resumes_across_two_runs(base_url, workspace): + """Park on a client-executed tool, resume on the next run -- end to end.""" + from ag_ui_antigravity import AntigravityAgent + + tool = { + "name": "get_user_favorite_color", + "description": "Returns the current user's favourite colour.", + "parameters": {"type": "object", "properties": {}, "required": []}, + } + agent = AntigravityAgent( + model=MODEL, + base_url=base_url, + system_instructions=( + "Always call get_user_favorite_color to answer colour questions. " + "After it returns, state the colour verbatim in one short sentence." + ), + workspaces=[workspace], + ) + thread = "live-frontend-tool" + try: + # ---- run N: the tool parks, the run ends, the SSE closes ---- + first = await asyncio.wait_for( + collect(agent, run_input(thread, "What is my favourite colour?", tools=[tool])), + 180, + ) + assert_lifecycle(first) + starts = [e for e in first if e.type == "TOOL_CALL_START"] + assert len(starts) == 1, types_of(first) + assert starts[0].tool_call_name == "get_user_favorite_color" + tool_call_id = starts[0].tool_call_id + assert "TOOL_CALL_END" in types_of(first) + + # The harness is now parked on our coroutine with no stream attached. + session = agent.session_manager.get(thread) + assert session is not None and session.is_parked + + # ---- run N+1: the client answers; the model continues ---- + second = await asyncio.wait_for( + collect( + agent, + run_input( + thread, + "", + tools=[tool], + messages=[ + { + "id": str(uuid.uuid4()), + "role": "tool", + "content": "chartreuse", + "toolCallId": tool_call_id, + } + ], + ), + ), + 180, + ) + assert_lifecycle(second) + assert "chartreuse" in text_of(second).lower(), text_of(second) + assert not agent.session_manager.get(thread).is_parked + finally: + await agent.close() + + +@pytest.mark.asyncio +async def test_builtin_tool_calls_are_reported(base_url, short_workspace): + """Built-in tools are executed by the harness and reported to the client. + + Uses `short_workspace`, not the shared `workspace` fixture, and that is + load-bearing. This prompt asks the model to echo an absolute path back into + a tool call, and with a long random temp path it garbles it -- measured at + 0/14 failures on a 9-character path against 2/14 on a 75-character one, + with captured errors showing the path truncated or a chunk duplicated. The + harness treats the resulting bad path as a fatal + AntigravityExecutionError rather than handing it back to the model, so the + run dies mid-tool-call. See "Keep workspace paths short" in the README. + """ + from ag_ui_antigravity import AntigravityAgent + + target = os.path.join(short_workspace, "greeting.txt") + with open(target, "w") as handle: + handle.write("the magic word is xyzzy\n") + + agent = AntigravityAgent( + model=MODEL, + base_url=base_url, + system_instructions=( + "You have filesystem tools. Use them to answer questions about files." + ), + workspaces=[short_workspace], + ) + try: + events = await asyncio.wait_for( + collect( + agent, + run_input( + "live-builtin", + f"List the files in {short_workspace}, then read {target} " + "and tell me the magic word.", + ), + ), + 240, + ) + finally: + await agent.close() + + assert_lifecycle(events) + types = types_of(events) + assert "TOOL_CALL_START" in types, types + # Every built-in call must be closed AND resolved, or clients leave the + # tool card spinning forever. + assert types.count("TOOL_CALL_START") == types.count("TOOL_CALL_END") + assert types.count("TOOL_CALL_START") == types.count("TOOL_CALL_RESULT") + assert "xyzzy" in text_of(events).lower(), text_of(events) + + +@pytest.mark.asyncio +async def test_sse_endpoint_serves_the_wire_format(base_url, workspace): + """Full HTTP path: FastAPI -> EventSourceResponse -> data: {json}.""" + from ag_ui_antigravity import AntigravityAgent, create_antigravity_app + + agent = AntigravityAgent( + model=MODEL, + base_url=base_url, + system_instructions="Answer in one short sentence.", + workspaces=[workspace], + ) + app = create_antigravity_app({"agentic_chat": agent}) + + transport = httpx.ASGITransport(app=app) + try: + async with httpx.AsyncClient( + transport=transport, base_url="http://testserver", timeout=180 + ) as client: + frames = [] + async with client.stream( + "POST", + "/agentic_chat", + json=run_input("live-sse", "Say exactly: sse works"), + ) as response: + assert response.status_code == 200 + assert "text/event-stream" in response.headers["content-type"] + async for line in response.aiter_lines(): + if line.startswith("data: "): + frames.append(json.loads(line[len("data: "):])) + finally: + await agent.close() + + assert frames[0]["type"] == "RUN_STARTED" + assert frames[0]["threadId"] == "live-sse" + assert frames[-1]["type"] == "RUN_FINISHED" + text = "".join( + f["delta"] for f in frames if f["type"] == "TEXT_MESSAGE_CONTENT" + ) + assert "sse works" in text.lower() + + +@pytest.mark.asyncio +async def test_server_side_tool_reports_its_result(base_url, workspace): + """A backend tool's return value must reach the client. + + The harness reports a custom Python tool as a single TOOL_CALL/ACTIVE step + -- no DONE step, no result on Step -- because the value goes back over the + WebSocket straight to the model. The adapter emits the call and its result + itself; without that the dojo's backend_tool_rendering card spins forever. + """ + import json + + from ag_ui_antigravity import AntigravityAgent + + async def get_weather(location: str) -> str: + """Gets the current weather for a location. + + Args: + location: The city to look up. + """ + return json.dumps({"temperature": 22, "conditions": "Clear sky"}) + + agent = AntigravityAgent( + model=MODEL, + base_url=base_url, + workspaces=[workspace], + save_dir=os.path.join(workspace, "save"), + system_instructions=( + "Use get_weather for any weather question, then summarise it in " + "one short sentence." + ), + tools=[get_weather], + enable_frontend_tools=False, + enable_ask_question=False, + ) + try: + events = await collect( + agent, run_input("server-tool", "What's the weather in Tokyo?") + ) + finally: + await agent.close() + + assert_lifecycle(events) + types = types_of(events) + + starts = [e for e in events if e.type == "TOOL_CALL_START"] + assert [e.tool_call_name for e in starts] == ["get_weather"], ( + "expected exactly one get_weather call, got " + f"{[e.tool_call_name for e in starts]}" + ) + + results = [e for e in events if e.type == "TOOL_CALL_RESULT"] + assert len(results) == 1, f"expected one TOOL_CALL_RESULT, got {len(results)}" + assert json.loads(results[0].content)["temperature"] == 22 + assert results[0].tool_call_id == starts[0].tool_call_id + + # Ordering the client depends on: the call is bookended before its result. + assert types.index("TOOL_CALL_END") < types.index("TOOL_CALL_RESULT") + assert "22" in text_of(events) or "Tokyo" in text_of(events) + + +@pytest.mark.asyncio +async def test_cold_resume_rebuilds_the_session_and_keeps_history(base_url, workspace): + """The documented persistence pattern, driven through the adapter. + + `persistence.md` is explicit that Antigravity's answer to "come back later" + is to close the agent and reopen it with the same `conversation_id` and + `save_dir`. The adapter does that on its own whenever the client's tool set + changes between runs, which forces a rebuild rather than running against a + stale tool list. + + The unit tests only prove the config carries the right fields, and the + pooled test proves a strategy rehydrates history. Neither exercises this + path end to end -- which is how a bug that gave every session its own + `tempfile.mkdtemp()` save directory (so resume restored nothing) survived + until it was found by hand. + """ + from ag_ui.core import Tool as AGUITool + + from ag_ui_antigravity import AntigravityAgent + + def tool(name): + return AGUITool( + name=name, + description=f"Does {name}.", + parameters={"type": "object", "properties": {}}, + ).model_dump() + + agent = AntigravityAgent( + model=MODEL, + base_url=base_url, + system_instructions="Answer in one short sentence. Remember what you are told.", + workspaces=[workspace], + ) + thread = "live-cold-resume" + try: + first = await asyncio.wait_for( + collect( + agent, + run_input( + thread, + "Remember this: my passphrase is octarine. Acknowledge.", + tools=[tool("alpha")], + ), + ), + 180, + ) + assert_lifecycle(first) + before = agent.session_manager.get(thread) + assert before is not None + # Read it off the live agent: `session.conversation_id` is snapshotted + # at creation, before any message has been exchanged, so the SDK always + # reports None there. `_close_locked` falls back to the agent for + # exactly this reason. + conversation_id = before.agent.conversation_id + assert conversation_id, "no conversation_id to resume from" + + # A changed tool set is the adapter's own cold-resume trigger: the + # harness fixes the tool list at connect time, so the session must be + # rebuilt rather than run against a stale one. + second = await asyncio.wait_for( + collect( + agent, + run_input( + thread, "What is my passphrase?", tools=[tool("beta")] + ), + ), + 180, + ) + assert_lifecycle(second) + + after = agent.session_manager.get(thread) + assert after is not None + assert after is not before, "the session was not rebuilt" + assert after.agent.conversation_id == conversation_id, ( + "the rebuild started a new conversation instead of resuming the old " + f"one: {after.agent.conversation_id} != {conversation_id}" + ) + assert "octarine" in text_of(second).lower(), ( + f"cold resume lost the history: {text_of(second)!r}" + ) + finally: + await agent.close() diff --git a/integrations/antigravity/python/tests/test_parking_gate.py b/integrations/antigravity/python/tests/test_parking_gate.py new file mode 100644 index 0000000000..e9a5b75829 --- /dev/null +++ b/integrations/antigravity/python/tests/test_parking_gate.py @@ -0,0 +1,114 @@ +"""The load-bearing gate for the whole park/resume design. + +Everything in this integration's HITL design rests on one property of the Go +``localharness`` subprocess: it does **not** abandon a pending custom tool while +the Python side is parked and no consumer is reading the stream. The SDK source +proves only that *Python* has no timeout; the Go side is opaque, so this was +settled empirically -- and is re-checked here so an SDK upgrade that breaks it +fails loudly rather than silently hanging every HITL run in production. + +Measured on google-antigravity 0.1.8: the harness survived 45 s and 180 s parks +and resumed correctly. This test uses a shorter default so it can run in CI; +raise it with PARK_SECONDS to reproduce the long soak. + + PARK_SECONDS=180 pytest tests/test_parking_gate.py -m live +""" + +from __future__ import annotations + +import asyncio +import os +import sys +import time + +import pytest + +sys.path.insert( + 0, os.path.join(os.path.dirname(__file__), "..", "examples", "server") +) + +pytestmark = [ + pytest.mark.live, + pytest.mark.skipif( + not os.environ.get("OPENAI_API_KEY"), + reason="OPENAI_API_KEY is required for live tests", + ), +] + +PARK_SECONDS = float(os.environ.get("PARK_SECONDS", "30")) +SECRET = "octarine" +MODEL = os.environ.get("ANTIGRAVITY_TEST_MODEL", "gpt-4.1-mini") + + +@pytest.mark.asyncio +async def test_harness_survives_a_park_with_no_consumer_attached(tmp_path): + from google.antigravity import Agent, CapabilitiesConfig, LocalOpenAIAgentConfig + from google.antigravity.hooks import policy + + from openai_proxy import start_background + + base_url = start_background(port=8966) + + parked = asyncio.Event() + resume: asyncio.Future = asyncio.get_running_loop().create_future() + + async def lookup_favorite_color(user: str) -> str: + """Looks up a user's favorite color. Returns the color name. + + Args: + user: The user's name. + """ + parked.set() + return await resume + + config = LocalOpenAIAgentConfig( + model=MODEL, + base_url=base_url, + system_instructions=( + "You must call the lookup_favorite_color tool to answer. " + "After it returns, state the color verbatim in one short sentence." + ), + capabilities=CapabilitiesConfig(enable_subagents=False), + policies=[policy.allow_all()], + tools=[lookup_favorite_color], + workspaces=[str(tmp_path)], + ) + + async with Agent(config) as agent: + conversation = agent.conversation + await conversation.send("What is Ada's favourite colour? Use the tool.") + + # ---- run N: read until the tool parks, then detach (SSE closes) ---- + async def consume(): + async for _ in conversation.receive_steps(): + pass + + reader = asyncio.create_task(consume()) + waiter = asyncio.create_task(parked.wait()) + await asyncio.wait({reader, waiter}, return_when=asyncio.FIRST_COMPLETED, + timeout=180) + reader.cancel() + try: + await reader + except asyncio.CancelledError: + pass + waiter.cancel() + + assert parked.is_set(), "the tool never parked; gate is inconclusive" + + # ---- the gap: nobody is reading the stream ---- + started = time.monotonic() + await asyncio.sleep(PARK_SECONDS) + + # ---- run N+1: resolve and resume ---- + resume.set_result(SECRET) + text = "" + async for step in conversation.receive_steps(): + if step.content_delta: + text += step.content_delta + + elapsed = time.monotonic() - started + assert elapsed >= PARK_SECONDS + assert SECRET in text.lower(), ( + f"harness did not resume after a {PARK_SECONDS}s park; got {text!r}" + ) diff --git a/integrations/antigravity/python/tests/test_session_manager.py b/integrations/antigravity/python/tests/test_session_manager.py new file mode 100644 index 0000000000..8b235312ed --- /dev/null +++ b/integrations/antigravity/python/tests/test_session_manager.py @@ -0,0 +1,515 @@ +"""SessionManager tests: hot resume, cold resume, eviction, limits.""" + +import asyncio + +import pytest + +from ag_ui_antigravity.session_manager import ( + SessionLimitExceeded, + SessionManager, + tool_signature, +) +from ag_ui_antigravity.ui_bridge import UIBridge + + +class FakeAgent: + """Stands in for google.antigravity.Agent's async context lifecycle.""" + + instances = [] + + def __init__(self, conversation_id=None): + self.conversation_id = conversation_id or f"conv-{len(FakeAgent.instances)}" + self.resumed_from = conversation_id + self.entered = False + self.exited = False + FakeAgent.instances.append(self) + + async def __aenter__(self): + self.entered = True + return self + + async def __aexit__(self, *exc): + self.exited = True + return False + + +@pytest.fixture(autouse=True) +def reset_agents(): + FakeAgent.instances = [] + yield + FakeAgent.instances = [] + + +def factory(bridge: UIBridge, previous_conversation_id): + return FakeAgent(previous_conversation_id) + + +class TestResetStream: + async def test_reset_retires_the_iterator_translator_and_turn_cache(self): + manager = SessionManager() + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + closed = [] + + class FakeIterator: + async def aclose(self): + closed.append(True) + + session.step_iter = FakeIterator() + session.pending_step = asyncio.get_running_loop().create_future() + session.translator = object() + session.bridge._turn_results["set_theme"] = ({}, _settled("applied")) + + await session.reset_stream() + assert session.step_iter is None + assert session.pending_step is None + assert session.translator is None + assert session.bridge._turn_results == {} + assert closed == [True] + + async def test_an_iterator_that_refuses_to_close_is_still_dropped(self): + manager = SessionManager() + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + + class AngryIterator: + async def aclose(self): + raise RuntimeError("harness went away") + + session.step_iter = AngryIterator() + await session.reset_stream() + assert session.step_iter is None + + async def test_reset_on_a_session_with_no_iterator_is_a_no_op(self): + manager = SessionManager() + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + await session.reset_stream() + assert session.step_iter is None + + +class TestReuse: + async def test_same_thread_and_tools_reuses_the_live_session(self): + manager = SessionManager() + sig = tool_signature(["a"]) + first = await manager.get_or_create("t1", signature=sig, factory=factory) + second = await manager.get_or_create("t1", signature=sig, factory=factory) + assert first is second + assert len(FakeAgent.instances) == 1 + + async def test_distinct_threads_get_distinct_sessions(self): + manager = SessionManager() + sig = tool_signature([]) + a = await manager.get_or_create("t1", signature=sig, factory=factory) + b = await manager.get_or_create("t2", signature=sig, factory=factory) + assert a is not b + + async def test_tool_signature_is_order_insensitive(self): + assert tool_signature(["a", "b"]) == tool_signature(["b", "a"]) + + +class TestColdResume: + async def test_changed_tools_rebuild_and_carry_the_conversation_id(self): + manager = SessionManager() + first = await manager.get_or_create( + "t1", signature=tool_signature(["a"]), factory=factory + ) + original_id = first.conversation_id + + second = await manager.get_or_create( + "t1", signature=tool_signature(["a", "b"]), factory=factory + ) + assert second is not first + assert first.agent.exited is True + # The replacement cold-resumes the same Antigravity conversation. + assert second.agent.resumed_from == original_id + + +class TestHotResume: + async def test_parked_session_survives_a_tool_change(self): + """A suspended coroutine cannot be serialized, so never rebuild it.""" + manager = SessionManager() + session = await manager.get_or_create( + "t1", signature=tool_signature(["a"]), factory=factory + ) + parked = await _park(session.bridge) + + same = await manager.get_or_create( + "t1", signature=tool_signature(["different"]), factory=factory + ) + assert same is session + assert session.agent.exited is False + parked.cancel() + + async def test_parked_session_is_never_swept(self): + manager = SessionManager(session_timeout_seconds=0) + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + parked = await _park(session.bridge) + await asyncio.sleep(0.01) + + assert await manager.sweep() == 0 + assert manager.get("t1") is session + parked.cancel() + + async def test_idle_session_is_swept(self): + manager = SessionManager(session_timeout_seconds=0) + await manager.get_or_create("t1", signature=tool_signature([]), factory=factory) + await asyncio.sleep(0.01) + + assert await manager.sweep() == 1 + assert manager.get("t1") is None + assert FakeAgent.instances[0].exited is True + + +class TestLimits: + async def test_limit_is_enforced_when_nothing_can_be_evicted(self): + manager = SessionManager(max_sessions=1, session_timeout_seconds=9999) + await manager.get_or_create("t1", signature=tool_signature([]), factory=factory) + with pytest.raises(SessionLimitExceeded): + await manager.get_or_create( + "t2", signature=tool_signature([]), factory=factory + ) + + async def test_idle_session_is_evicted_to_make_room(self): + manager = SessionManager(max_sessions=1, session_timeout_seconds=0) + await manager.get_or_create("t1", signature=tool_signature([]), factory=factory) + await asyncio.sleep(0.01) + session = await manager.get_or_create( + "t2", signature=tool_signature([]), factory=factory + ) + assert session.thread_id == "t2" + + +class TestCleanupLoop: + async def test_the_background_loop_sweeps_idle_sessions(self): + manager = SessionManager( + session_timeout_seconds=0, cleanup_interval_seconds=0.01 + ) + manager.start() + await manager.get_or_create("t1", signature=tool_signature([]), factory=factory) + + for _ in range(100): + await asyncio.sleep(0.01) + if manager.get("t1") is None: + break + assert manager.get("t1") is None + await manager.stop() + + async def test_start_is_idempotent(self): + manager = SessionManager() + manager.start() + task = manager._cleanup_task + manager.start() + assert manager._cleanup_task is task + await manager.stop() + + async def test_stop_without_start_is_a_no_op(self): + manager = SessionManager() + await manager.stop() + assert manager.stats()["live_sessions"] == 0 + + async def test_a_failing_sweep_does_not_kill_the_loop(self): + """A dead sweeper would leak every session for the process' lifetime.""" + manager = SessionManager(cleanup_interval_seconds=0.01) + calls = [] + + async def flaky(): + calls.append(1) + if len(calls) == 1: + raise RuntimeError("transient") + return 0 + + manager.sweep = flaky + manager.start() + for _ in range(100): + await asyncio.sleep(0.01) + if len(calls) >= 3: + break + await manager.stop() + assert len(calls) >= 3, calls + + +class TestTeardown: + async def test_closing_an_unknown_thread_is_a_no_op(self): + manager = SessionManager() + await manager.close("never-existed") + assert manager.stats()["live_sessions"] == 0 + + async def test_a_rebuild_without_a_conversation_id_does_not_cold_resume(self): + manager = SessionManager() + + def no_id_factory(bridge, previous_conversation_id): + agent = FakeAgent(previous_conversation_id) + agent.conversation_id = None + return agent + + await manager.get_or_create( + "t1", signature=tool_signature(["a"]), factory=no_id_factory + ) + second = await manager.get_or_create( + "t1", signature=tool_signature(["b"]), factory=no_id_factory + ) + assert second.agent.resumed_from is None + + async def test_a_failing_agent_shutdown_does_not_abort_the_close(self): + manager = SessionManager() + + def angry_factory(bridge, previous_conversation_id): + agent = FakeAgent(previous_conversation_id) + + async def boom(*exc): + raise RuntimeError("harness refused to stop") + + agent.__aexit__ = boom + return agent + + await manager.get_or_create( + "t1", signature=tool_signature([]), factory=angry_factory + ) + await manager.close("t1") + assert manager.get("t1") is None + + async def test_stats_report_parked_sessions_separately(self): + manager = SessionManager(max_sessions=7, session_timeout_seconds=42) + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + await manager.get_or_create("t2", signature=tool_signature([]), factory=factory) + parked = await _park(session.bridge) + + assert manager.stats() == { + "live_sessions": 2, + "parked_sessions": 1, + "max_sessions": 7, + "session_timeout_seconds": 42, + "parked_timeout_seconds": 7200, + } + parked.cancel() + + async def test_close_fails_parked_requests(self): + manager = SessionManager() + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + parked = await _park(session.bridge) + await manager.close("t1") + with pytest.raises(RuntimeError): + await asyncio.wait_for(parked, 1) + + async def test_stop_closes_everything(self): + manager = SessionManager() + manager.start() + await manager.get_or_create("t1", signature=tool_signature([]), factory=factory) + await manager.get_or_create("t2", signature=tool_signature([]), factory=factory) + await manager.stop() + assert manager.stats()["live_sessions"] == 0 + assert all(a.exited for a in FakeAgent.instances) + + +async def _park(bridge: UIBridge) -> asyncio.Task: + """Parks a frontend tool on ``bridge`` and returns its still-pending task.""" + from ag_ui.core import Tool as AGUITool + + (tool,) = bridge.build_frontend_tools( + [AGUITool(name="x", description="", parameters={"type": "object"})] + ) + task = asyncio.create_task(tool()) + await asyncio.sleep(0.05) + assert bridge.has_pending, "fixture failed to park" + return task + + +def _settled(value): + """A claim future already carrying its result (see UIBridge._turn_results).""" + future = asyncio.get_event_loop().create_future() + future.set_result(value) + return future + + +class TestParkedGrace: + """A parked session is pinned so its suspended coroutine survives a human + thinking -- not a human who closed the tab and never came back.""" + + async def test_a_parked_session_survives_the_normal_idle_timeout(self): + manager = SessionManager(session_timeout_seconds=0, parked_timeout_seconds=9999) + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + parked = await _park(session.bridge) + await asyncio.sleep(0.01) + + assert await manager.sweep() == 0 + assert manager.get("t1") is session + parked.cancel() + + async def test_a_parked_session_is_reclaimed_after_its_own_grace(self): + manager = SessionManager(session_timeout_seconds=0, parked_timeout_seconds=0) + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + parked = await _park(session.bridge) + await asyncio.sleep(0.01) + + assert await manager.sweep() == 1 + assert manager.get("t1") is None + with pytest.raises(RuntimeError): + await asyncio.wait_for(parked, 1) + + async def test_the_limit_can_be_recovered_from_by_the_parked_grace(self): + """Otherwise max_sessions abandoned HITL tabs wedge the server forever.""" + manager = SessionManager( + max_sessions=1, session_timeout_seconds=0, parked_timeout_seconds=0 + ) + first = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + parked = await _park(first.bridge) + await asyncio.sleep(0.01) + + second = await manager.get_or_create( + "t2", signature=tool_signature([]), factory=factory + ) + assert second.thread_id == "t2" + with pytest.raises(RuntimeError): + await asyncio.wait_for(parked, 1) + + +class TestSweepSafety: + """The sweeper runs concurrently with live runs. Reclaiming a session whose + run holds the lock cancels the future that run is awaiting, and + CancelledError is a BaseException -- it escapes every `except Exception` + between the run loop and the SSE writer, so the client gets no terminal + event at all.""" + + async def test_a_session_with_a_run_in_flight_is_never_reclaimed(self): + manager = SessionManager(session_timeout_seconds=0) + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + await asyncio.sleep(0.01) + + async with session.lock: + assert await manager.sweep() == 0 + assert manager.get("t1") is session + + # Once the run releases the lock it becomes reclaimable again. + assert await manager.sweep() == 1 + + async def test_the_limit_sweep_also_spares_in_flight_sessions(self): + manager = SessionManager(max_sessions=1, session_timeout_seconds=0) + busy = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + await asyncio.sleep(0.01) + + async with busy.lock: + with pytest.raises(SessionLimitExceeded): + await manager.get_or_create( + "t2", signature=tool_signature([]), factory=factory + ) + assert manager.get("t1") is busy + + +class TestParkedGraceFloor: + async def test_parked_grace_is_never_shorter_than_the_idle_timeout(self): + """Otherwise a long idle timeout would cut parked sessions off early.""" + manager = SessionManager( + session_timeout_seconds=10_000, parked_timeout_seconds=1 + ) + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + parked = await _park(session.bridge) + session.last_activity -= 5_000 + + assert await manager.sweep() == 0 + assert manager.get("t1") is session + parked.cancel() + + +class TestRebuildSafety: + """The tool-signature rebuild is a third route into `_close_locked`, and it + does not go through `_expired`. Tearing down a session whose run is + streaming cancels the future that run awaits; CancelledError is a + BaseException and escapes to the SSE writer, so the client gets no terminal + event at all.""" + + async def test_a_tool_change_defers_while_a_run_is_in_flight(self): + manager = SessionManager() + session = await manager.get_or_create( + "t1", signature=tool_signature(["a"]), factory=factory + ) + + async with session.lock: + same = await manager.get_or_create( + "t1", signature=tool_signature(["a", "b"]), factory=factory + ) + assert same is session, "the in-flight run must not be torn down" + assert session.agent.exited is False + + # Once the run finishes, the next one rebuilds as normal. + rebuilt = await manager.get_or_create( + "t1", signature=tool_signature(["a", "b"]), factory=factory + ) + assert rebuilt is not session + assert session.agent.exited is True + + async def test_a_cold_resume_carries_the_forwarded_prompts(self): + """The rebuilt harness restores the same conversation, so those + prompts are already in its history and must not be re-sent.""" + manager = SessionManager() + first = await manager.get_or_create( + "t1", signature=tool_signature(["a"]), factory=factory + ) + first.forwarded_prompts.update({"m1", "m2"}) + + second = await manager.get_or_create( + "t1", signature=tool_signature(["a", "b"]), factory=factory + ) + assert second is not first + assert second.forwarded_prompts == {"m1", "m2"} + + +class TestReclaimNeverKillsALiveRun: + """Every reclamation route must refuse a session whose run holds the lock. + + `sweep()` picks its victims and then awaits between closes, so a candidate + can go live in that window -- the check has to be re-made under the manager + lock at close time, not only when the list is built.""" + + async def test_sweep_re_checks_under_the_lock(self): + manager = SessionManager(session_timeout_seconds=0) + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + await asyncio.sleep(0.01) + + async with session.lock: + assert await manager.sweep() == 0 + assert manager.get("t1") is session + assert session.agent.exited is False + + async def test_close_refuses_a_live_run_when_not_forced(self): + manager = SessionManager() + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + async with session.lock: + await manager.close("t1", force=False) + assert manager.get("t1") is session + + async def test_shutdown_forces_teardown_so_nothing_leaks(self): + """stop() must not leave a Go subprocess behind, even mid-run.""" + manager = SessionManager() + session = await manager.get_or_create( + "t1", signature=tool_signature([]), factory=factory + ) + async with session.lock: + await manager.stop() + assert manager.stats()["live_sessions"] == 0 + assert session.agent.exited is True diff --git a/integrations/antigravity/python/tests/test_ui_bridge.py b/integrations/antigravity/python/tests/test_ui_bridge.py new file mode 100644 index 0000000000..006c9aa54b --- /dev/null +++ b/integrations/antigravity/python/tests/test_ui_bridge.py @@ -0,0 +1,680 @@ +"""UI bridge tests -- the park/resolve primitive behind every HITL case.""" + +import asyncio +import inspect +import json + +import pytest +from ag_ui.core import Tool as AGUITool +from google.antigravity import types as ag_types + +from ag_ui_antigravity.ui_bridge import UIBridge + + +def make_tool(name="set_theme"): + return AGUITool( + name=name, + description="Sets the UI theme", + parameters={ + "type": "object", + "properties": {"theme": {"type": "string"}}, + "required": ["theme"], + }, + ) + + +class TestFrontendTools: + async def test_call_emits_triplet_then_parks(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + + task = asyncio.create_task(tool(theme="dark")) + await asyncio.sleep(0.05) + + assert not task.done(), "the tool must park, not return" + events = bridge.drain() + assert [e.type for e in events] == [ + "TOOL_CALL_START", + "TOOL_CALL_ARGS", + "TOOL_CALL_END", + ] + assert events[0].tool_call_name == "set_theme" + assert '"theme": "dark"' in events[1].delta + + bridge.resolve_tool_call(events[0].tool_call_id, "ok") + assert await asyncio.wait_for(task, 1) == "ok" + + async def test_schema_passes_through_untouched(self): + """ToolWithSchema forwards the client's JSON Schema verbatim.""" + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + assert tool.input_schema["properties"]["theme"]["type"] == "string" + + async def test_tool_without_parameters_gets_valid_empty_schema(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools( + [AGUITool(name="ping", description="", parameters={})] + ) + assert tool.input_schema == {"type": "object", "properties": {}} + + async def test_concurrent_parked_tools_resolve_independently(self): + """The SDK dispatches tool calls concurrently (asyncio.gather). + + Dedup is off here: this covers the registry holding several + simultaneous pending requests, not the once-per-turn policy that + TestTurnDeduplication owns. + """ + bridge = UIBridge(deduplicate_tool_calls=False) + (tool,) = bridge.build_frontend_tools([make_tool()]) + + t1 = asyncio.create_task(tool(theme="dark")) + t2 = asyncio.create_task(tool(theme="light")) + await asyncio.sleep(0.05) + + events = bridge.drain() + starts = [e for e in events if e.type == "TOOL_CALL_START"] + assert len(starts) == 2 + assert starts[0].tool_call_id != starts[1].tool_call_id + + bridge.resolve_tool_call(starts[1].tool_call_id, "second") + assert await asyncio.wait_for(t2, 1) == "second" + assert not t1.done() + + bridge.resolve_tool_call(starts[0].tool_call_id, "first") + assert await asyncio.wait_for(t1, 1) == "first" + + async def test_unknown_tool_call_id_is_ignored(self): + bridge = UIBridge() + assert bridge.resolve_tool_call("nope", "x") is False + + async def test_unknown_interrupt_id_is_ignored(self): + bridge = UIBridge() + assert bridge.resolve_interrupt("nope", {}, cancelled=False) is False + + async def test_a_second_answer_to_the_same_call_is_ignored(self): + """AG-UI clients retry; the first answer must win, not raise.""" + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + task = asyncio.create_task(tool(theme="dark")) + await asyncio.sleep(0.05) + call_id = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"][0].tool_call_id + + assert bridge.resolve_tool_call(call_id, "first") is True + assert bridge.resolve_tool_call(call_id, "second") is False + assert await asyncio.wait_for(task, 1) == "first" + + async def test_a_cancelled_tool_call_returns_a_message_for_the_model(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + task = asyncio.create_task(tool(theme="dark")) + await asyncio.sleep(0.05) + call_id = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"][0].tool_call_id + + bridge.resolve_interrupt(call_id, None, cancelled=True) + assert await asyncio.wait_for(task, 1) == "The user cancelled this tool call." + + +class TestQuestions: + def _spec(self): + return ag_types.AskQuestionInteractionSpec( + questions=[ + ag_types.AskQuestionEntry( + question="Which colour?", + options=[ + ag_types.AskQuestionOption(id="r", text="red"), + ag_types.AskQuestionOption(id="b", text="blue"), + ], + ) + ] + ) + + async def test_hook_parks_and_exposes_interrupt(self): + bridge = UIBridge() + hook = bridge.build_interaction_hook() + + task = asyncio.create_task(hook.run(None, self._spec())) + await asyncio.sleep(0.05) + assert not task.done() + + interrupts = bridge.pending_interrupts() + assert len(interrupts) == 1 + assert interrupts[0].reason == "ask_question" + assert interrupts[0].response_schema["type"] == "object" + + bridge.resolve_interrupt( + interrupts[0].id, + {"responses": [{"selected_option_ids": ["b"]}]}, + cancelled=False, + ) + result = await asyncio.wait_for(task, 1) + assert result.responses[0].selected_option_ids == ["b"] + + async def test_bare_string_payload_is_accepted_as_freeform(self): + bridge = UIBridge() + hook = bridge.build_interaction_hook() + task = asyncio.create_task(hook.run(None, self._spec())) + await asyncio.sleep(0.05) + + interrupt_id = bridge.pending_interrupts()[0].id + bridge.resolve_interrupt(interrupt_id, "purple", cancelled=False) + result = await asyncio.wait_for(task, 1) + assert result.responses[0].freeform_response == "purple" + + async def test_cancellation_returns_cancelled_result(self): + bridge = UIBridge() + hook = bridge.build_interaction_hook() + task = asyncio.create_task(hook.run(None, self._spec())) + await asyncio.sleep(0.05) + + interrupt_id = bridge.pending_interrupts()[0].id + bridge.resolve_interrupt(interrupt_id, None, cancelled=True) + result = await asyncio.wait_for(task, 1) + assert result.cancelled is True + + async def test_missing_responses_are_padded_to_question_count(self): + bridge = UIBridge() + hook = bridge.build_interaction_hook() + spec = ag_types.AskQuestionInteractionSpec( + questions=[ + ag_types.AskQuestionEntry(question="one", options=[]), + ag_types.AskQuestionEntry(question="two", options=[]), + ] + ) + task = asyncio.create_task(hook.run(None, spec)) + await asyncio.sleep(0.05) + bridge.resolve_interrupt( + bridge.pending_interrupts()[0].id, {"responses": ["a"]}, cancelled=False + ) + result = await asyncio.wait_for(task, 1) + assert len(result.responses) == 2 + assert result.responses[1].skipped is True + + @pytest.mark.parametrize( + "payload,expected", + [ + ({"selected_option_ids": ["b"]}, ["b"]), + ({"responses": {"selected_option_ids": ["b"]}}, ["b"]), + ([{"selected_option_ids": ["b"]}], ["b"]), + ], + ) + async def test_loose_resume_payload_shapes_are_accepted(self, payload, expected): + """Simple clients should not have to build the full envelope.""" + bridge = UIBridge() + hook = bridge.build_interaction_hook() + task = asyncio.create_task(hook.run(None, self._spec())) + await asyncio.sleep(0.05) + bridge.resolve_interrupt( + bridge.pending_interrupts()[0].id, payload, cancelled=False + ) + result = await asyncio.wait_for(task, 1) + assert result.responses[0].selected_option_ids == expected + + async def test_an_uninterpretable_payload_becomes_a_skipped_response(self): + bridge = UIBridge() + hook = bridge.build_interaction_hook() + task = asyncio.create_task(hook.run(None, self._spec())) + await asyncio.sleep(0.05) + bridge.resolve_interrupt(bridge.pending_interrupts()[0].id, 42, cancelled=False) + result = await asyncio.wait_for(task, 1) + assert len(result.responses) == 1 + assert result.responses[0].skipped is True + + async def test_unusable_list_items_are_dropped_then_padded(self): + bridge = UIBridge() + hook = bridge.build_interaction_hook() + task = asyncio.create_task(hook.run(None, self._spec())) + await asyncio.sleep(0.05) + bridge.resolve_interrupt( + bridge.pending_interrupts()[0].id, {"responses": [None]}, cancelled=False + ) + result = await asyncio.wait_for(task, 1) + assert len(result.responses) == 1 + assert result.responses[0].skipped is True + + async def test_the_interrupt_message_falls_back_when_there_are_no_questions(self): + bridge = UIBridge() + hook = bridge.build_interaction_hook() + spec = ag_types.AskQuestionInteractionSpec(questions=[]) + task = asyncio.create_task(hook.run(None, spec)) + await asyncio.sleep(0.05) + interrupt = bridge.pending_interrupts()[0] + assert interrupt.message == "The agent has a question." + assert interrupt.response_schema["properties"]["responses"]["minItems"] == 0 + bridge.resolve_interrupt(interrupt.id, {}, cancelled=False) + await asyncio.wait_for(task, 1) + + +class TestApproval: + async def test_parks_and_approves(self): + bridge = UIBridge() + hook = bridge.build_tool_approval_hook() + call = ag_types.ToolCall(name="run_command", args={"cmd": "rm -rf /"}) + # ToolCall.id is None inside the decide hook -- the bridge must mint one. + assert call.id is None + + task = asyncio.create_task(hook.run(None, call)) + await asyncio.sleep(0.05) + + interrupts = bridge.pending_interrupts() + assert len(interrupts) == 1 + assert interrupts[0].reason == "tool_approval" + assert interrupts[0].metadata["tool_name"] == "run_command" + + bridge.resolve_interrupt(interrupts[0].id, {"approved": True}, cancelled=False) + result = await asyncio.wait_for(task, 1) + assert result.allow is True + + async def test_denial_carries_a_message_to_the_model(self): + bridge = UIBridge() + hook = bridge.build_tool_approval_hook() + task = asyncio.create_task( + hook.run(None, ag_types.ToolCall(name="run_command", args={})) + ) + await asyncio.sleep(0.05) + bridge.resolve_interrupt( + bridge.pending_interrupts()[0].id, {"approved": False}, cancelled=False + ) + result = await asyncio.wait_for(task, 1) + assert result.allow is False + assert result.message + + async def test_frontend_tools_bypass_approval(self): + """Approving the client's own tool would double-prompt the user.""" + bridge = UIBridge() + bridge.build_frontend_tools([make_tool("set_theme")]) + hook = bridge.build_tool_approval_hook() + result = await asyncio.wait_for( + hook.run(None, ag_types.ToolCall(name="set_theme", args={})), 1 + ) + assert result.allow is True + assert bridge.pending_interrupts() == [] + + async def test_auto_approve_list_bypasses_approval(self): + bridge = UIBridge() + hook = bridge.build_tool_approval_hook(auto_approve={"view_file"}) + result = await asyncio.wait_for( + hook.run(None, ag_types.ToolCall(name="view_file", args={})), 1 + ) + assert result.allow is True + + async def _decide(self, payload, *, cancelled=False): + bridge = UIBridge() + hook = bridge.build_tool_approval_hook() + task = asyncio.create_task( + hook.run(None, ag_types.ToolCall(name="run_command", args={})) + ) + await asyncio.sleep(0.05) + bridge.resolve_interrupt( + bridge.pending_interrupts()[0].id, payload, cancelled=cancelled + ) + return await asyncio.wait_for(task, 1) + + @pytest.mark.parametrize( + "payload,allowed", + [ + (True, True), + (False, False), + ("yes", True), + ("APPROVED", True), + ("no", False), + ({"allow": True}, True), + ({"approved": True}, True), + (None, False), + ], + ) + async def test_loose_approval_payload_shapes_are_accepted(self, payload, allowed): + assert (await self._decide(payload)).allow is allowed + + async def test_an_approval_message_is_passed_through_to_the_model(self): + result = await self._decide({"approved": True, "message": "just this once"}) + assert result.allow is True + assert result.message == "just this once" + + async def test_cancelling_an_approval_denies_the_call(self): + result = await self._decide(None, cancelled=True) + assert result.allow is False + assert "cancelled" in result.message + + async def test_unserializable_tool_args_are_stringified_in_the_interrupt(self): + """The interrupt metadata is JSON-encoded onto the wire.""" + bridge = UIBridge() + hook = bridge.build_tool_approval_hook() + task = asyncio.create_task( + hook.run(None, ag_types.ToolCall(name="run_command", args={"h": object()})) + ) + await asyncio.sleep(0.05) + interrupt = bridge.pending_interrupts()[0] + assert isinstance(interrupt.metadata["args"], str) + bridge.resolve_interrupt(interrupt.id, False, cancelled=False) + await asyncio.wait_for(task, 1) + + +class TestTeardown: + async def test_fail_all_unblocks_parked_callers(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + task = asyncio.create_task(tool(theme="dark")) + await asyncio.sleep(0.05) + + bridge.fail_all(RuntimeError("session closed")) + with pytest.raises(RuntimeError, match="session closed"): + await asyncio.wait_for(task, 1) + + async def test_fail_all_leaves_an_already_answered_request_alone(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + task = asyncio.create_task(tool(theme="dark")) + await asyncio.sleep(0.05) + call_id = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"][0].tool_call_id + bridge.resolve_tool_call(call_id, "ok") + + bridge.fail_all(RuntimeError("session closed")) + assert await asyncio.wait_for(task, 1) == "ok" + + async def test_forget_resolved_empties_the_registry_for_answered_requests(self): + """A turn can park many times; keeping answered entries leaks them.""" + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + task = asyncio.create_task(tool(theme="dark")) + await asyncio.sleep(0.05) + call_id = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"][0].tool_call_id + bridge.resolve_tool_call(call_id, "ok") + await asyncio.wait_for(task, 1) + + bridge.forget_resolved() + assert bridge._pending == {} + assert bridge._by_tool_call == {} + + async def test_forget_resolved_keeps_a_still_parked_request(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + task = asyncio.create_task(tool(theme="dark")) + await asyncio.sleep(0.05) + + bridge.forget_resolved() + assert bridge.has_pending is True + call_id = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"][0].tool_call_id + bridge.resolve_tool_call(call_id, "ok") + assert await asyncio.wait_for(task, 1) == "ok" + + async def test_has_pending_tracks_parked_state(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + assert bridge.has_pending is False + + task = asyncio.create_task(tool(theme="dark")) + await asyncio.sleep(0.05) + assert bridge.has_pending is True + + call_id = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"][0].tool_call_id + bridge.resolve_tool_call(call_id, "ok") + await asyncio.wait_for(task, 1) + assert bridge.has_pending is False + + +class TestTurnDeduplication: + """The harness backgrounds a slow custom tool and lets the model continue; + the model then re-issues the call. Re-dispatching would make the client run + a side-effecting action twice, so a tool goes to the client once per turn.""" + + async def _dispatch(self, bridge, tool, **kwargs): + task = asyncio.create_task(tool(**kwargs)) + await asyncio.sleep(0.05) + starts = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"] + return task, starts + + async def test_identical_repeat_returns_the_cached_result(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + + task, starts = await self._dispatch(bridge, tool, theme="dark") + assert len(starts) == 1 + bridge.resolve_tool_call(starts[0].tool_call_id, "applied") + assert await asyncio.wait_for(task, 1) == "applied" + + # Same call again in the same turn: no new dispatch to the client. + assert await asyncio.wait_for(tool(theme="dark"), 1) == "applied" + assert [e for e in bridge.drain() if e.type == "TOOL_CALL_START"] == [] + + async def test_repeat_with_different_args_is_not_re_dispatched(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + + task, starts = await self._dispatch(bridge, tool, theme="dark") + bridge.resolve_tool_call(starts[0].tool_call_id, "applied") + await asyncio.wait_for(task, 1) + + result = await asyncio.wait_for(tool(theme="light"), 1) + assert [e for e in bridge.drain() if e.type == "TOOL_CALL_START"] == [] + # The model is told plainly what happened rather than handed a stale + # result dressed up as this call's. + assert "already ran in this turn" in result + assert "applied" in result + + async def test_a_new_turn_allows_the_tool_again(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + + task, starts = await self._dispatch(bridge, tool, theme="dark") + bridge.resolve_tool_call(starts[0].tool_call_id, "applied") + await asyncio.wait_for(task, 1) + + bridge.reset_turn() + task2, starts2 = await self._dispatch(bridge, tool, theme="dark") + assert len(starts2) == 1, "a new turn must dispatch to the client again" + bridge.resolve_tool_call(starts2[0].tool_call_id, "applied again") + assert await asyncio.wait_for(task2, 1) == "applied again" + + async def test_dedup_can_be_disabled(self): + bridge = UIBridge(deduplicate_tool_calls=False) + (tool,) = bridge.build_frontend_tools([make_tool()]) + + task, starts = await self._dispatch(bridge, tool, theme="dark") + bridge.resolve_tool_call(starts[0].tool_call_id, "applied") + await asyncio.wait_for(task, 1) + + task2, starts2 = await self._dispatch(bridge, tool, theme="dark") + assert len(starts2) == 1 + bridge.resolve_tool_call(starts2[0].tool_call_id, "again") + assert await asyncio.wait_for(task2, 1) == "again" + + async def test_two_different_tools_both_dispatch(self): + bridge = UIBridge() + first, second = bridge.build_frontend_tools( + [make_tool("set_theme"), make_tool("set_font")] + ) + t1, s1 = await self._dispatch(bridge, first, theme="dark") + bridge.resolve_tool_call(s1[0].tool_call_id, "ok") + await asyncio.wait_for(t1, 1) + + t2, s2 = await self._dispatch(bridge, second, theme="serif") + assert len(s2) == 1, "dedup must be per tool, not global" + bridge.resolve_tool_call(s2[0].tool_call_id, "ok2") + assert await asyncio.wait_for(t2, 1) == "ok2" + + +class TestConcurrentDeduplication: + """The SDK gathers a tool batch concurrently, so two identical calls can be + in flight before either has a result. The claim must be staked at dispatch, + not at completion, or both reach the client and both side effects happen.""" + + async def test_identical_concurrent_calls_dispatch_once(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool("send_email")]) + + first = asyncio.create_task(tool(theme="dark")) + second = asyncio.create_task(tool(theme="dark")) + await asyncio.sleep(0.05) + + starts = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"] + assert len(starts) == 1, "a side-effecting tool must reach the client once" + + bridge.resolve_tool_call(starts[0].tool_call_id, "sent") + assert await asyncio.wait_for(first, 1) == "sent" + assert await asyncio.wait_for(second, 1) == "sent" + + async def test_concurrent_call_with_other_args_waits_and_is_told(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + + first = asyncio.create_task(tool(theme="dark")) + second = asyncio.create_task(tool(theme="light")) + await asyncio.sleep(0.05) + + starts = [e for e in bridge.drain() if e.type == "TOOL_CALL_START"] + assert len(starts) == 1 + assert not second.done(), "must wait for the in-flight result, not guess" + + bridge.resolve_tool_call(starts[0].tool_call_id, "applied") + assert await asyncio.wait_for(first, 1) == "applied" + assert "already ran in this turn" in await asyncio.wait_for(second, 1) + + async def test_a_failed_first_dispatch_releases_its_waiter(self): + bridge = UIBridge() + (tool,) = bridge.build_frontend_tools([make_tool()]) + + first = asyncio.create_task(tool(theme="dark")) + second = asyncio.create_task(tool(theme="dark")) + await asyncio.sleep(0.05) + + bridge.fail_all(RuntimeError("session closed")) + with pytest.raises(RuntimeError, match="session closed"): + await asyncio.wait_for(first, 1) + with pytest.raises(RuntimeError, match="session closed"): + await asyncio.wait_for(second, 1) + + +class TestServerTools: + """Server-side tools must report their own results. + + Antigravity runs a custom Python tool through the SDK's ToolRunner and the + harness reports it as a single TOOL_CALL/ACTIVE step -- no DONE step, and no + result field on Step at all, because the return value goes back over the + WebSocket straight to the model. So the step stream can never yield a + TOOL_CALL_RESULT and a client rendering the call would spin forever. + """ + + async def test_call_emits_triplet_then_the_real_result(self): + bridge = UIBridge() + + async def get_weather(location: str) -> str: + """Gets the weather. + + Args: + location: The city. + """ + return '{"temperature": 22}' + + (wrapped,) = bridge.build_server_tools([get_weather]) + assert await wrapped(location="Tokyo") == '{"temperature": 22}' + + kinds = [e.type for e in bridge.drain()] + assert [k if isinstance(k, str) else k.value for k in kinds] == [ + "TOOL_CALL_START", + "TOOL_CALL_ARGS", + "TOOL_CALL_END", + "TOOL_CALL_RESULT", + ] + + async def test_result_carries_the_return_value(self): + bridge = UIBridge() + + async def get_weather(location: str) -> dict: + """Gets the weather. + + Args: + location: The city. + """ + return {"temperature": 22, "conditions": "sunny"} + + (wrapped,) = bridge.build_server_tools([get_weather]) + await wrapped(location="Tokyo") + events = bridge.drain() + + args = json.loads(events[1].delta) + assert args == {"location": "Tokyo"} + # A dict is serialized; the client parses it back. Without this the + # weather card falls through to its `?? 0` defaults. + assert json.loads(events[3].content) == { + "temperature": 22, + "conditions": "sunny", + } + assert events[0].tool_call_id == events[3].tool_call_id + assert events[0].tool_call_name == "get_weather" + + async def test_sync_tools_are_supported(self): + bridge = UIBridge() + + def add(a: int, b: int) -> int: + """Adds two numbers. + + Args: + a: First. + b: Second. + """ + return a + b + + (wrapped,) = bridge.build_server_tools([add]) + assert await wrapped(a=2, b=3) == 5 + assert json.loads(bridge.drain()[3].content) == 5 + + async def test_failure_is_reported_in_content_and_reraised(self): + bridge = UIBridge() + + async def boom(location: str) -> str: + """Always fails. + + Args: + location: The city. + """ + raise RuntimeError("upstream is down") + + (wrapped,) = bridge.build_server_tools([boom]) + with pytest.raises(RuntimeError, match="upstream is down"): + await wrapped(location="Tokyo") + + events = bridge.drain() + # ToolCallResultEvent has no error channel, so it travels in content -- + # an empty result would render as a successful call. + assert "There was an error executing boom" in events[3].content + assert "upstream is down" in events[3].content + + def test_signature_is_preserved_for_schema_derivation(self): + """The SDK derives the tool schema by introspecting the function. + + A wrapper taking bare **kwargs would erase the parameters and the model + would be handed a tool it cannot call correctly. + """ + bridge = UIBridge() + + async def get_weather(location: str) -> str: + """Gets the weather. + + Args: + location: The city. + """ + return "{}" + + (wrapped,) = bridge.build_server_tools([get_weather]) + assert wrapped.__name__ == "get_weather" + assert wrapped.__doc__ == get_weather.__doc__ + assert list(inspect.signature(wrapped).parameters) == ["location"] + + def test_names_are_registered_for_suppression(self): + """The adapter suppresses step-driven events for 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a/integrations/antigravity/typescript/README.md b/integrations/antigravity/typescript/README.md new file mode 100644 index 0000000000..e3d37479d1 --- /dev/null +++ b/integrations/antigravity/typescript/README.md @@ -0,0 +1,28 @@ +# @ag-ui/antigravity + +TypeScript client for [Google Antigravity](https://github.com/google-antigravity/antigravity-sdk-python) +agents exposed over the [AG-UI protocol](https://github.com/ag-ui-protocol/ag-ui). + +All translation happens on the Python side (`ag_ui_antigravity`), so this is a +thin `HttpAgent` plus capability discovery. + +```bash +npm install @ag-ui/antigravity +``` + +```ts +import { AntigravityAgent } from "@ag-ui/antigravity"; + +const agent = new AntigravityAgent({ url: "http://localhost:8009/agentic_chat" }); + +const capabilities = await agent.getCapabilities(); +// { tools: { supported: true, clientProvided: true }, +// humanInTheLoop: { supported: true, interrupts: true }, ... } +``` + +`getCapabilities()` fetches `/capabilities` and validates the response +against `AgentCapabilitiesSchema`, throwing on a malformed payload. Override +`capabilitiesUrl()` or `capabilitiesRequestInit()` to customize the URL or auth. + +See the [Python package](../python/README.md) for the server, the event +mapping, and the human-in-the-loop design. diff --git a/integrations/antigravity/typescript/package.json b/integrations/antigravity/typescript/package.json new file mode 100644 index 0000000000..091315710e --- /dev/null +++ b/integrations/antigravity/typescript/package.json @@ -0,0 +1,64 @@ +{ + "name": "@ag-ui/antigravity", + "version": "0.0.1", + "description": "AG-UI integration for Google Antigravity - thin TypeScript client for Antigravity-backed AG-UI agents", + "main": "./dist/index.js", + "module": "./dist/index.mjs", + "types": "./dist/index.d.ts", + "sideEffects": false, + "files": [ + "dist/**", + "README.md" + ], + "keywords": [ + "ag-ui", + "antigravity", + "google", + "agents", + "ai" + ], + "scripts": { + "build": "tsdown", + "dev": "tsdown --watch", + "clean": "git clean -fdX --exclude=\"!.env\"", + "typecheck": "tsc --noEmit", + "test": "vitest run", + "test:coverage": "vitest run --coverage", + "test:watch": "vitest", + "test:exports": "publint --strict && attw --pack", + "link:global": "pnpm link --global", + "unlink:global": "pnpm unlink --global" + }, + "peerDependencies": { + "@ag-ui/core": ">=0.0.55", + "@ag-ui/client": ">=0.0.55", + "rxjs": "7.8.1" + }, + "devDependencies": { + "@ag-ui/core": "workspace:*", + "@ag-ui/client": "workspace:*", + "@types/node": "^20.11.19", + "publint": "^0.3.12", + "@arethetypeswrong/cli": "^0.17.4", + "tsdown": "^0.20.1", + "typescript": "^5.3.3", + "vitest": "^4.0.18" + }, + "repository": { + "type": "git", + "url": "git+https://github.com/ag-ui-protocol/ag-ui.git", + "directory": "integrations/antigravity/typescript" + }, + "license": "MIT", + "private": false, + "publishConfig": { + "access": "public" + }, + "exports": { + ".": { + "require": "./dist/index.js", + "import": "./dist/index.mjs" + }, + "./package.json": "./package.json" + } +} diff --git a/integrations/antigravity/typescript/src/__tests__/antigravity-agent.test.ts b/integrations/antigravity/typescript/src/__tests__/antigravity-agent.test.ts new file mode 100644 index 0000000000..7b85eee69a --- /dev/null +++ b/integrations/antigravity/typescript/src/__tests__/antigravity-agent.test.ts @@ -0,0 +1,205 @@ +import { describe, expect, it, vi, afterEach } from "vitest"; +import { AntigravityAgent } from "../index"; + +class TestAgent extends AntigravityAgent { + public exposedCapabilitiesUrl() { + return (this as unknown as { capabilitiesUrl(): string }).capabilitiesUrl(); + } +} + +afterEach(() => { + vi.unstubAllGlobals(); +}); + +function stubFetch(response: Partial) { + const fetchMock = vi.fn().mockResolvedValue(response as Response); + vi.stubGlobal("fetch", fetchMock); + return fetchMock; +} + +describe("AntigravityAgent", () => { + it("derives the capabilities URL from the agent URL", () => { + const agent = new TestAgent({ url: "http://localhost:8009/agentic_chat" }); + expect(agent.exposedCapabilitiesUrl()).toBe( + "http://localhost:8009/agentic_chat/capabilities", + ); + }); + + it("does not double up slashes on a trailing-slash URL", () => { + const agent = new TestAgent({ url: "http://localhost:8009/agentic_chat/" }); + expect(agent.exposedCapabilitiesUrl()).toBe( + "http://localhost:8009/agentic_chat/capabilities", + ); + }); + + it("appends to a nested path rather than replacing it", () => { + const agent = new TestAgent({ url: "http://localhost:8009/api/v1/agents/agentic_chat" }); + expect(agent.exposedCapabilitiesUrl()).toBe( + "http://localhost:8009/api/v1/agents/agentic_chat/capabilities", + ); + }); + + it("preserves query parameters when deriving the capabilities URL", () => { + const agent = new TestAgent({ url: "http://localhost:8009/agentic_chat?tenant=acme" }); + expect(agent.exposedCapabilitiesUrl()).toBe( + "http://localhost:8009/agentic_chat/capabilities?tenant=acme", + ); + }); + + it("forwards configured headers and issues a GET on the capabilities request", async () => { + const fetchMock = stubFetch({ ok: true, json: async () => ({}) }); + const agent = new AntigravityAgent({ + url: "http://localhost:8009/agentic_chat", + headers: { Authorization: "Bearer secret-token", "X-Tenant": "acme" }, + }); + + await agent.getCapabilities(); + + expect(fetchMock).toHaveBeenCalledWith( + "http://localhost:8009/agentic_chat/capabilities", + expect.objectContaining({ + method: "GET", + headers: { + Authorization: "Bearer secret-token", + "X-Tenant": "acme", + Accept: "application/json", + }, + }), + ); + }); + + it("parses a capabilities response", async () => { + stubFetch({ + ok: true, + json: async () => ({ + identity: { type: "antigravity" }, + tools: { supported: true, clientProvided: true }, + humanInTheLoop: { supported: true, interrupts: true }, + }), + }); + const agent = new AntigravityAgent({ url: "http://localhost:8009/agentic_chat" }); + await expect(agent.getCapabilities()).resolves.toMatchObject({ + tools: { supported: true }, + humanInTheLoop: { interrupts: true }, + }); + }); + + it("throws with the response body on a non-OK status", async () => { + stubFetch({ + ok: false, + status: 502, + text: async () => "upstream down", + }); + const agent = new AntigravityAgent({ url: "http://localhost:8009/agentic_chat" }); + await expect(agent.getCapabilities()).rejects.toThrow(/502[\s\S]*upstream down/); + }); + + it("rejects a payload that does not match AgentCapabilitiesSchema", async () => { + // Loose booleans (`state: true`) are NOT valid -- the schema expects + // nested category objects. This guards the server's default payload. + stubFetch({ ok: true, json: async () => ({ state: true }) }); + const agent = new AntigravityAgent({ url: "http://localhost:8009/agentic_chat" }); + await expect(agent.getCapabilities()).rejects.toThrow(/Invalid capabilities/); + }); + + it("falls back to statusText when reading the error body itself throws", async () => { + stubFetch({ + ok: false, + status: 503, + statusText: "Service Unavailable", + text: async () => { + throw new Error("body stream already read"); + }, + }); + const agent = new AntigravityAgent({ url: "http://localhost:8009/agentic_chat" }); + const error = await agent.getCapabilities().catch((e: unknown) => e); + expect(error).toBeInstanceOf(Error); + // The unreadable-body failure must not mask the status, and must not leak + // the internal stream error as if it were the server's response. + expect((error as Error).message).toContain("HTTP 503: Service Unavailable"); + expect((error as Error).message).not.toContain("body stream already read"); + }); + + it("falls back to a placeholder when the body throws and statusText is empty", async () => { + stubFetch({ + ok: false, + status: 500, + statusText: "", + text: async () => { + throw new Error("body stream already read"); + }, + }); + const agent = new AntigravityAgent({ url: "http://localhost:8009/agentic_chat" }); + await expect(agent.getCapabilities()).rejects.toThrow( + "HTTP 500: (unable to read response body)", + ); + }); + + it("throws when the body is not valid JSON", async () => { + stubFetch({ + ok: true, + json: async () => { + throw new Error("Unexpected token <"); + }, + }); + const agent = new AntigravityAgent({ url: "http://localhost:8009/agentic_chat" }); + await expect(agent.getCapabilities()).rejects.toThrow(/Failed to parse/); + }); + + it("stringifies a non-Error thrown while parsing the body", async () => { + stubFetch({ + ok: true, + json: async () => { + // Not an Error instance -- exercises the String(e) fallback. + throw "raw string rejection"; + }, + }); + const agent = new AntigravityAgent({ url: "http://localhost:8009/agentic_chat" }); + await expect(agent.getCapabilities()).rejects.toThrow( + /Failed to parse capabilities response from .*: raw string rejection/, + ); + }); +}); + +describe("AntigravityAgent fetch and URL resolution", () => { + it("uses an injected fetch rather than the global one", async () => { + const globalFetch = vi.fn(); + vi.stubGlobal("fetch", globalFetch); + const injected = vi.fn().mockResolvedValue({ + ok: true, + json: async () => ({ tools: { supported: true } }), + } as Response); + + const agent = new AntigravityAgent({ + url: "http://localhost:8027/agentic_chat", + fetch: injected, + }); + await agent.getCapabilities(); + + expect(injected).toHaveBeenCalledTimes(1); + expect(globalFetch).not.toHaveBeenCalled(); + expect(injected.mock.calls[0][0]).toBe( + "http://localhost:8027/agentic_chat/capabilities", + ); + }); + + it("resolves a relative agent URL against the document origin", async () => { + vi.stubGlobal("location", { href: "https://app.example.com/dojo/index.html" }); + const fetchMock = stubFetch({ ok: true, json: async () => ({}) }); + + const agent = new AntigravityAgent({ url: "/api/copilotkit" }); + await agent.getCapabilities(); + + expect(fetchMock.mock.calls[0][0]).toBe( + "https://app.example.com/api/copilotkit/capabilities", + ); + }); + + it("explains itself when a relative URL has no origin to resolve against", async () => { + vi.stubGlobal("location", undefined); + const agent = new AntigravityAgent({ url: "/api/copilotkit" }); + await expect(agent.getCapabilities()).rejects.toThrow( + /not absolute and there is no document origin/, + ); + }); +}); diff --git a/integrations/antigravity/typescript/src/index.ts b/integrations/antigravity/typescript/src/index.ts new file mode 100644 index 0000000000..1ba9a4c9bd --- /dev/null +++ b/integrations/antigravity/typescript/src/index.ts @@ -0,0 +1,82 @@ +import { HttpAgent } from "@ag-ui/client"; +import { AgentCapabilities, AgentCapabilitiesSchema } from "@ag-ui/core"; + +/** + * Thin client for an Antigravity-backed AG-UI endpoint. + * + * The Python side owns the whole translation, so this is an `HttpAgent` plus + * capability discovery against `/capabilities`. + */ +export class AntigravityAgent extends HttpAgent { + /** + * Builds the URL for the capabilities endpoint. + * Override this to customize the capabilities URL construction. + * + * `this.url` may be relative (a common browser setup — `run()` lets fetch + * resolve it against the page origin), so resolve against `location` when + * there is one rather than letting `new URL` throw a bare `TypeError`. + */ + protected capabilitiesUrl(): string { + const base = + typeof globalThis !== "undefined" + ? (globalThis as { location?: { href?: string } }).location?.href + : undefined; + let parsed: URL; + try { + parsed = new URL(this.url, base); + } catch { + throw new Error( + `Cannot derive a capabilities URL from ${JSON.stringify(this.url)}: it is not ` + + `absolute and there is no document origin to resolve it against.`, + ); + } + parsed.pathname = parsed.pathname.replace(/\/+$/, "") + "/capabilities"; + return parsed.toString(); + } + + /** + * Returns the fetch config for capabilities requests. + * Override this to customize auth, headers, or credentials. + */ + protected capabilitiesRequestInit(): RequestInit { + return { + method: "GET", + headers: { + ...this.headers, + Accept: "application/json", + }, + }; + } + + async getCapabilities(): Promise { + const url = this.capabilitiesUrl(); + // `this.fetch` — not the global — so an injected fetch (auth, proxy, retry, + // a Node polyfill) applies to capability discovery as well as to run(). + const response = await this.fetch(url, this.capabilitiesRequestInit()); + + if (!response.ok) { + let body: string; + try { + body = await response.text(); + } catch { + body = response.statusText || "(unable to read response body)"; + } + throw new Error(`Failed to fetch capabilities from ${url}: HTTP ${response.status}: ${body}`); + } + + let data: unknown; + try { + data = await response.json(); + } catch (e) { + throw new Error( + `Failed to parse capabilities response from ${url}: ${e instanceof Error ? e.message : String(e)}`, + ); + } + + const result = AgentCapabilitiesSchema.safeParse(data); + if (!result.success) { + throw new Error(`Invalid capabilities response from ${url}: ${result.error.message}`); + } + return result.data; + } +} diff --git a/integrations/antigravity/typescript/tsconfig.json b/integrations/antigravity/typescript/tsconfig.json new file mode 100644 index 0000000000..d12ec063d5 --- /dev/null +++ b/integrations/antigravity/typescript/tsconfig.json @@ -0,0 +1,24 @@ +{ + "compilerOptions": { + "target": "es2017", + "module": "esnext", + "lib": ["dom", "dom.iterable", "esnext"], + "declaration": true, + "declarationMap": true, + "sourceMap": true, + "moduleResolution": "node", + "skipLibCheck": true, + "strict": true, + "jsx": "react-jsx", + "esModuleInterop": true, + "resolveJsonModule": true, + "isolatedModules": true, + "baseUrl": ".", + "paths": { + "@/*": ["./src/*"] + }, + "stripInternal": true + }, + "include": ["src"], + "exclude": ["node_modules", "dist"] +} diff --git a/integrations/antigravity/typescript/tsdown.config.ts b/integrations/antigravity/typescript/tsdown.config.ts new file mode 100644 index 0000000000..6f3030ec48 --- /dev/null +++ b/integrations/antigravity/typescript/tsdown.config.ts @@ -0,0 +1,12 @@ +import { defineConfig } from "tsdown"; + +export default defineConfig({ + entry: ["src/index.ts"], + format: ["cjs", "esm"], + dts: true, + exports: true, + fixedExtension: false, + sourcemap: true, + clean: true, + minify: true, +}); diff --git a/integrations/antigravity/typescript/vitest.config.ts b/integrations/antigravity/typescript/vitest.config.ts new file mode 100644 index 0000000000..c85b19a3f1 --- /dev/null +++ b/integrations/antigravity/typescript/vitest.config.ts @@ -0,0 +1,10 @@ +import { defineConfig } from "vitest/config"; + +export default defineConfig({ + test: { + globals: true, + environment: "node", + include: ["**/*.test.ts"], + passWithNoTests: true, + }, +}); diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index c7d59d8a89..09febbac64 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -109,6 +109,9 @@ importers: '@ag-ui/agno': specifier: workspace:* version: link:../../integrations/agno/typescript + '@ag-ui/antigravity': + specifier: workspace:* + version: link:../../integrations/antigravity/typescript '@ag-ui/aws-strands': specifier: workspace:* version: link:../../integrations/aws-strands/typescript @@ -517,6 +520,37 @@ importers: specifier: ^4.0.18 version: 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eslint-plugin-react: 7.37.5(eslint@9.37.0(jiti@2.6.1)) eslint-plugin-react-hooks: 7.0.1(eslint@9.37.0(jiti@2.6.1)) @@ -21669,7 +21703,7 @@ snapshots: transitivePeerDependencies: - supports-color - eslint-import-resolver-typescript@3.10.1(eslint-plugin-import@2.32.0)(eslint@9.37.0(jiti@2.6.1)): + eslint-import-resolver-typescript@3.10.1(eslint-plugin-import@2.32.0(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint@9.37.0(jiti@2.6.1)))(eslint@9.37.0(jiti@2.6.1)): dependencies: '@nolyfill/is-core-module': 1.0.39 debug: 4.4.3 @@ -21680,22 +21714,22 @@ snapshots: tinyglobby: 0.2.15 unrs-resolver: 1.11.1 optionalDependencies: - eslint-plugin-import: 2.32.0(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint-import-resolver-typescript@3.10.1)(eslint@9.37.0(jiti@2.6.1)) + eslint-plugin-import: 2.32.0(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint-import-resolver-typescript@3.10.1(eslint-plugin-import@2.32.0(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint@9.37.0(jiti@2.6.1)))(eslint@9.37.0(jiti@2.6.1)))(eslint@9.37.0(jiti@2.6.1)) transitivePeerDependencies: - supports-color - eslint-module-utils@2.12.1(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.10.1)(eslint@9.37.0(jiti@2.6.1)): + eslint-module-utils@2.12.1(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.10.1(eslint-plugin-import@2.32.0(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint@9.37.0(jiti@2.6.1)))(eslint@9.37.0(jiti@2.6.1)))(eslint@9.37.0(jiti@2.6.1)): dependencies: debug: 3.2.7 optionalDependencies: '@typescript-eslint/parser': 8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3) eslint: 9.37.0(jiti@2.6.1) eslint-import-resolver-node: 0.3.9 - eslint-import-resolver-typescript: 3.10.1(eslint-plugin-import@2.32.0)(eslint@9.37.0(jiti@2.6.1)) + eslint-import-resolver-typescript: 3.10.1(eslint-plugin-import@2.32.0(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint@9.37.0(jiti@2.6.1)))(eslint@9.37.0(jiti@2.6.1)) transitivePeerDependencies: - supports-color - eslint-plugin-import@2.32.0(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint-import-resolver-typescript@3.10.1)(eslint@9.37.0(jiti@2.6.1)): + eslint-plugin-import@2.32.0(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint-import-resolver-typescript@3.10.1(eslint-plugin-import@2.32.0(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint@9.37.0(jiti@2.6.1)))(eslint@9.37.0(jiti@2.6.1)))(eslint@9.37.0(jiti@2.6.1)): dependencies: '@rtsao/scc': 1.1.0 array-includes: 3.1.9 @@ -21706,7 +21740,7 @@ snapshots: doctrine: 2.1.0 eslint: 9.37.0(jiti@2.6.1) eslint-import-resolver-node: 0.3.9 - eslint-module-utils: 2.12.1(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.10.1)(eslint@9.37.0(jiti@2.6.1)) + eslint-module-utils: 2.12.1(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.10.1(eslint-plugin-import@2.32.0(@typescript-eslint/parser@8.48.1(eslint@9.37.0(jiti@2.6.1))(typescript@5.9.3))(eslint@9.37.0(jiti@2.6.1)))(eslint@9.37.0(jiti@2.6.1)))(eslint@9.37.0(jiti@2.6.1)) hasown: 2.0.2 is-core-module: 2.16.1 is-glob: 4.0.3