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Deep Research workflow package for Agentrail examples.","maintainers":[{"name":"sunzhenyucn","email":"sunzhenyucn@gmail.com"}],"readme":"# @agentrail/deep-research\n\nReusable Deep Research workflow package for Agentrail. It provides a multi-agent research coordinator and routes, but does not replace the general hosted app layer.\n\n## Installation\n\n```bash\npnpm add @agentrail/deep-research @agentrail/app @agentrail/core\n```\n\n## Quick example\n\n```ts\nimport { SessionManager } from \"@agentrail/app\";\nimport { createDeepResearchRunRoute } from \"@agentrail/deep-research\";\n\nconst sessionStore = new SessionManager(\"./.agentrail\");\n\nconst route = createDeepResearchRunRoute({\n  sessionStore,\n  runtime: {\n    dataDir: \"./.agentrail\",\n    model: {\n      provider: \"openai\",\n      modelId: \"gpt-4.1-mini\",\n    },\n    searchProvider: \"tavily\",\n    tavilyApiKey: process.env.TAVILY_API_KEY,\n  },\n});\n```\n\n## API\n\n- `createDeepResearchRunRoute(options)` — mount a blocking deep-research run endpoint.\n- `createDeepResearchRoute(options)` — read deep-research state and artifacts.\n- `runDeepResearchBlocking(input)` / `runDeepResearchStreaming(input)` — run the workflow programmatically.\n- `DeepResearchCoordinator` — lower-level workflow coordinator.\n- `createFileSystemDeepResearchStore(dataDir, sessionRef)` — persisted state/event store for deep-research runs.\n\nReference:\n\n- `https://agentrail.run/examples/deep-research`\n\n## Related packages\n\n- `@agentrail/app` — provides session storage and hosted routes used around the workflow.\n- `@agentrail/capabilities` — provides orchestration, sandbox, and web tools consumed by the workflow.\n\n## License\n\nApache-2.0\n","readmeFilename":"README.md"}