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Foundry Agent Server Responses-protocol host (mirrors azure-ai-agentserver-responses)","maintainers":[{"name":"cyb3rpandah","email":"cyb3rpandah@gmail.com"},{"name":"cyb3rward0g","email":"roberto@cuylabs.ai"}],"readme":"# @cuylabs/agent-foundry-agentserver-responses\n\nTypeScript host for the Foundry Hosted Agents Responses protocol.\n\nThis package mirrors Python `azure-ai-agentserver-responses`: it plugs into\n`@cuylabs/agent-foundry-agentserver-core` and adds the Responses protocol HTTP\nsurface: create, stream with SSE, cancel, delete, replay, and input-item\nlisting.\n\n## Docs\n\nThe quick start stays in this README. Deeper package docs live in\n[`docs/`](./docs/README.md):\n\n| Document | Purpose |\n| --- | --- |\n| [`docs/hosting.md`](./docs/hosting.md) | Express lifecycle, route layout, execution, and tracing |\n| [`docs/store.md`](./docs/store.md) | Foundry storage, in-memory storage, stream replay, and custom providers |\n| [`docs/protocol.md`](./docs/protocol.md) | Endpoint behavior, modes, IDs, validation, and OpenAPI |\n| [`docs/agent-core-bridge.md`](./docs/agent-core-bridge.md) | How `agent-foundry-hosting/responses` adapts `agent-core` turns |\n| [`docs/python-parity.md`](./docs/python-parity.md) | Current parity against Python, TypeSpec, and production-readiness gaps |\n\nExample samples live in [`samples/`](./samples/README.md).\n\nPublic subpath exports are available for the same conceptual areas as the\nPython package:\n\n```ts\nimport { FoundryStorageProvider } from \"@cuylabs/agent-foundry-agentserver-responses/store\";\nimport { TextResponse } from \"@cuylabs/agent-foundry-agentserver-responses/streaming\";\n```\n\n```ts\nimport {\n  ResponseContext,\n  TextResponse,\n  runResponsesServer,\n  type CreateResponse,\n} from \"@cuylabs/agent-foundry-agentserver-responses\";\n\nawait runResponsesServer({\n  port: 8088,\n  async handler(request: CreateResponse, context: ResponseContext) {\n    const text = await context.getInputText();\n    return new TextResponse(context, request, {\n      text: `Echo: ${text}`,\n    });\n  },\n});\n```\n\n## Durable Storage\n\nDurable storage is the persistence layer behind the Responses protocol. The\nhost process can always keep response state in memory, but that state is lost\nwhen the container restarts and it cannot be shared across replicas. A durable\nprovider stores the response snapshot, the resolved input items, history item\nIDs, and item lookup records in Foundry storage so `GET /responses/{id}`,\n`GET /responses/{id}/input_items`, and future turns using\n`previous_response_id` keep working outside the current Node.js process.\n\nFor local development, `InMemoryResponseProvider` is still the default. In a\nhosted Foundry environment, pass `FoundryStorageProvider` explicitly:\n\n```ts\nimport { DefaultAzureCredential } from \"@azure/identity\";\nimport { runResponsesServer } from \"@cuylabs/agent-foundry-agentserver-responses\";\nimport {\n  FoundryStorageProvider,\n} from \"@cuylabs/agent-foundry-agentserver-responses/store\";\n\nawait runResponsesServer({\n  handler,\n  store: new FoundryStorageProvider({\n    credential: new DefaultAzureCredential(),\n  }),\n});\n```\n\nThe storage provider follows the Python SDK storage API shape:\n`POST /storage/responses`, `GET/POST/DELETE /storage/responses/{id}`,\n`GET /storage/responses/{id}/input_items`,\n`POST /storage/items/batch/retrieve`, and `GET /storage/history/item_ids`.\nStream replay is a separate provider capability; when a durable provider does\nnot implement stream replay, the host uses in-process replay storage.\n\n## Schema Models\n\nThe Python package has generated model classes from the Responses OpenAPI\nschema. This TypeScript package now exposes the protocol-level model surface as\nstrong structural types (`CreateResponse`, `ResponseObject`, `OutputItem`,\n`ResponseStreamEvent`) plus runtime validation for the hosted-agent semantics\nthat matter at the server boundary, such as `background=true` requiring\n`store=true`, `stream_options` requiring `stream=true`, metadata limits, ID\nformat validation, and cursor pagination. The long-term direction should be to\nreplace or augment these structural types with generated TypeScript models from\nthe same OpenAPI source, while preserving the handler/provider interfaces in\nthis package.\n\n## Endpoints\n\n| Method | Route | Description |\n| --- | --- | --- |\n| `POST` | `/responses` | Create a response |\n| `GET` | `/responses/{response_id}` | Retrieve a response snapshot, or SSE replay with `?stream=true` |\n| `POST` | `/responses/{response_id}/cancel` | Cancel a background response |\n| `DELETE` | `/responses/{response_id}` | Delete a stored response |\n| `GET` | `/responses/{response_id}/input_items` | List input items |\n\n## Layering\n\nThis package is protocol-level and agent-agnostic. Use\n`@cuylabs/agent-foundry-hosting/responses` to bridge `@cuylabs/agent-core` or\n`@cuylabs/agent-server` into this protocol package, matching the existing\nInvocations split.\n","readmeFilename":"README.md"}