diff --git a/.github/dependabot.yml b/.github/dependabot.yml index fcf1bd801..84770db13 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -1,11 +1,18 @@ -# Please see the documentation for all configuration options: -# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates -# and -# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file - version: 2 updates: - package-ecosystem: "github-actions" directory: "/" schedule: interval: "weekly" + + - package-ecosystem: "pip" + directories: + - "libs/checkpoint" + - "libs/checkpoint-postgres" + - "libs/checkpoint-sqlite" + - "libs/cli" + - "libs/langgraph" + - "libs/prebuilt" + - "libs/sdk-py" + schedule: + interval: "weekly" diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index ece56b460..43752eddf 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -22,6 +22,7 @@ jobs: outputs: python: ${{ steps.filter.outputs.python }} sdk-js: ${{ steps.filter.outputs.sdk-js }} + deps: ${{ steps.filter.outputs.deps }} steps: - uses: actions/checkout@v4 - uses: dorny/paths-filter@v3 @@ -38,6 +39,9 @@ jobs: - 'libs/prebuilt/**' sdk-js: - 'libs/sdk-js/**' + deps: + - '**/pyproject.toml' + - '**/uv.lock' lint: needs: changes @@ -55,7 +59,7 @@ jobs: "libs/prebuilt", ] - if: needs.changes.outputs.python == 'true' + if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true' uses: ./.github/workflows/_lint.yml with: working-directory: ${{ matrix.working-directory }} @@ -74,7 +78,7 @@ jobs: "libs/checkpoint-postgres", "libs/prebuilt", ] - if: needs.changes.outputs.python == 'true' + if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true' uses: ./.github/workflows/_test.yml with: working-directory: ${{ matrix.working-directory }} @@ -83,7 +87,7 @@ jobs: # NOTE: we're testing langgraph separately because it requires a different matrix test-langgraph: needs: changes - if: needs.changes.outputs.python == 'true' + if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true' name: "cd libs/langgraph" uses: ./.github/workflows/_test_langgraph.yml secrets: inherit @@ -140,7 +144,7 @@ jobs: integration-test: needs: changes - if: needs.changes.outputs.python == 'true' + if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true' name: CLI integration test uses: ./.github/workflows/_integration_test.yml secrets: inherit diff --git a/.github/workflows/uv_lock_ugprade.yml b/.github/workflows/uv_lock_ugprade.yml new file mode 100644 index 000000000..8acd39393 --- /dev/null +++ b/.github/workflows/uv_lock_ugprade.yml @@ -0,0 +1,45 @@ +name: UV Lock Upgrade + +on: + schedule: + # run at midnight every Sunday + - cron: '0 0 * * 0' + # allow manual triggering + workflow_dispatch: + +permissions: + contents: write + pull-requests: write + +jobs: + upgrade-dependencies: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v4 + + - name: Set up uv + uses: astral-sh/setup-uv@v6 + with: + # use minimum supported Python version + python-version: "3.9" + enable-cache: true + cache-suffix: "uv-lock-upgrade" + + - name: Run uv lock --upgrade in all Python packages + run: make lock-upgrade + + - name: Create Pull Request + uses: peter-evans/create-pull-request@v6 + with: + token: ${{ secrets.GITHUB_TOKEN }} + commit-message: "chore: upgrade dependencies with `uv lock --upgrade`" + title: "chore: upgrade dependencies with `uv lock --upgrade`" + body: | + This PR updates the dependencies in all Python packages using `uv lock --upgrade`. + + This is an automated PR created by the UV Lock Upgrade workflow. + branch: deps/uv-lock-upgrade + delete-branch: true + labels: | + dependencies diff --git a/Makefile b/Makefile index aa4eb9945..477e03123 100644 --- a/Makefile +++ b/Makefile @@ -47,6 +47,16 @@ lock: fi; \ done +# Lock all projects and upgrade dependencies +.PHONY: lock-upgrade +lock-upgrade: + @for dir in $(LIBS_DIRS); do \ + if [ -f $$dir/Makefile ]; then \ + echo "Running lock-upgrade in $$dir"; \ + (cd $$dir && uv lock --upgrade); \ + fi; \ + done + # Test all projects .PHONY: test test: diff --git a/docs/docs/cloud/concepts/data_storage_and_privacy.md b/docs/docs/cloud/concepts/data_storage_and_privacy.md new file mode 100644 index 000000000..c9ca1f59d --- /dev/null +++ b/docs/docs/cloud/concepts/data_storage_and_privacy.md @@ -0,0 +1,54 @@ +# Data Storage and Privacy + +This document describes how data is processed in the LangGraph CLI and the LangGraph Server for both the in-memory server (`langgraph dev`) and the local Docker server (`langgraph up`). It also describes what data is tracked when interacting with the hosted LangGraph Studio frontend. + +## CLI + +LangGraph **CLI** is the command-line interface for building and running LangGraph applications; see the [CLI guide](../../concepts/langgraph_cli.md) to learn more. + +By default, calls to most CLI commands log a single analytics event upon invocation. This helps us better prioritize improvements to the CLI experience. Each telemetry event contains the calling process's OS, OS version, Python version, the CLI version, the command name (`dev`, `up`, `run`, etc.), and booleans representing whether a flag was passed to the command. You can see the full analytics logic [here](https://github.com/langchain-ai/langgraph/blob/main/libs/cli/langgraph_cli/analytics.py). + +You can disable all CLI telemetry by setting `LANGGRAPH_CLI_NO_ANALYTICS=1`. + +## LangGraph Server (in-memory & docker) + +The [LangGraph Server](../../concepts/langgraph_server.md) provides a durable execution runtime that relies on persisting checkpoints of your application state, long-term memories, thread metadata, assistants, and similar resources to the local file system or a database. Unless you have deliberately customized the storage location, this information is either written to local disk (for `langgraph dev`) or a PostgreSQL database (for `langgraph up` and in all deployments). + +### LangSmith Tracing + +When running the LangGraph server (either in-memory or in Docker), LangSmith tracing may be enabled to facilitate faster debugging and offer observability of graph state and LLM prompts in production. You can always disable tracing by setting `LANGSMITH_TRACING=false` in your server's runtime environment. + +### In-memory development server (`langgraph dev`) + +`langgraph dev` runs an [in-memory development server](../../tutorials/langgraph-platform/local-server.md) as a single Python process, designed for quick development and testing. It saves all checkpointing and memory data to disk within a `.langgraph_api` directory in the current working directory. Apart from the telemetry data described in the [CLI](#cli) section, no data leaves the machine unless you have enabled tracing or your graph code explicitly contacts an external service. + +### Standalone Container (`langgraph up`) + +`langgraph up` builds your local package into a Docker image and runs the server as a [standalone container](../../concepts/deployment_options.md#standalone-container) consisting of three containers: the API server, a PostgreSQL container, and a Redis container. All persistent data (checkpoints, assistants, etc.) are stored in the PostgreSQL database. Redis is used as a pubsub connection for real-time streaming of events. You can encrypt all checkpoints before saving to the database by setting a valid `LANGGRAPH_AES_KEY` environment variable. You can also specify [TTLs](../../how-tos/ttl/configure_ttl.md) for checkpoints and cross-thread memories in `langgraph.json` to control how long data is stored. All persisted threads, memories, and other data can be deleted via the relevant API endpoints. + +Additional API calls are made to confirm that the server has a valid license and to track the number of executed runs and tasks. Periodically, the API server validates the provided license key (or API key). + +If you've disabled [tracing](#langsmith-tracing), no user data is persisted externally unless your graph code explicitly contacts an external service. + +## Studio + +[LangGraph Studio](../../concepts/langgraph_studio.md) is a graphical interface for interacting with your LangGraph server. It does not persist any private data (the data you send to your server is not sent to LangSmith). Though the studio interface is served at [smith.langchain.com](https://smith.langchain.com), it is run in your browser and connects directly to your local LangGraph server so that no data needs to be sent to LangSmith. + +If you are logged in, LangSmith does collect some usage analytics to help improve studio's user experience. This includes: + +- Page visits and navigation patterns +- User actions (button clicks) +- Browser type and version +- Screen resolution and viewport size + +Importantly, no application data or code (or other sensitive configuration details) are collected. All of that is stored in the persistence layer of your LangGraph server. When using Studio anonymously, no account creation is required and usage analytics are not collected. + +## Quick reference + +In summary, you can opt-out of server-side telemetry by turning off CLI analytics and disabling tracing. + +| Variable | Purpose | Default | +| ------------------------------ | ------------------------- | -------------------------------- | +| `LANGGRAPH_CLI_NO_ANALYTICS=1` | Disable CLI analytics | Analytics enabled | +| `LANGSMITH_API_KEY` | Enable LangSmith tracing | Tracing disabled | +| `LANGSMITH_TRACING=false` | Disable LangSmith tracing | Depends on environment | diff --git a/docs/docs/cloud/how-tos/use_stream_react.md b/docs/docs/cloud/how-tos/use_stream_react.md index 29703761e..3ddcbe5b4 100644 --- a/docs/docs/cloud/how-tos/use_stream_react.md +++ b/docs/docs/cloud/how-tos/use_stream_react.md @@ -1,4 +1,4 @@ -How to integrate LangGraph into your React application# How to integrate LangGraph into your React application +# How to integrate LangGraph into your React application !!! info "Prerequisites" diff --git a/docs/docs/cloud/reference/api/openapi.json b/docs/docs/cloud/reference/api/openapi.json index 782619368..8a3b7f5fc 100644 --- a/docs/docs/cloud/reference/api/openapi.json +++ b/docs/docs/cloud/reference/api/openapi.json @@ -1,6 +1,9 @@ { "openapi": "3.1.0", - "info": { "title": "LangGraph Platform", "version": "0.1.0" }, + "info": { + "title": "LangGraph Platform", + "version": "0.1.0" + }, "tags": [ { "name": "Assistants", @@ -30,14 +33,18 @@ "paths": { "/assistants": { "post": { - "tags": ["Assistants"], + "tags": [ + "Assistants" + ], "summary": "Create Assistant", "description": "Create an assistant.\n\nAn initial version of the assistant will be created and the assistant is set to that version. To change versions, use the `POST /assistants/{assistant_id}/latest` endpoint.", "operationId": "create_assistant_assistants_post", "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/AssistantCreate" } + "schema": { + "$ref": "#/components/schemas/AssistantCreate" + } } }, "required": true @@ -47,7 +54,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Assistant" } + "schema": { + "$ref": "#/components/schemas/Assistant" + } } } }, @@ -55,7 +64,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -63,7 +74,9 @@ "description": "Conflict", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -71,7 +84,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -80,7 +95,9 @@ }, "/assistants/search": { "post": { - "tags": ["Assistants"], + "tags": [ + "Assistants" + ], "summary": "Search Assistants", "description": "Search for assistants.\n\nThis endpoint also functions as the endpoint to list all assistants.", "operationId": "search_assistants_assistants_search_post", @@ -100,7 +117,9 @@ "content": { "application/json": { "schema": { - "items": { "$ref": "#/components/schemas/Assistant" }, + "items": { + "$ref": "#/components/schemas/Assistant" + }, "type": "array", "title": "Response Search Assistants Assistants Search Post" } @@ -111,7 +130,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -119,7 +140,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -128,7 +151,9 @@ }, "/assistants/{assistant_id}": { "get": { - "tags": ["Assistants"], + "tags": [ + "Assistants" + ], "summary": "Get Assistant", "description": "Get an assistant by ID.", "operationId": "get_assistant_assistants__assistant_id__get", @@ -151,7 +176,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Assistant" } + "schema": { + "$ref": "#/components/schemas/Assistant" + } } } }, @@ -159,14 +186,18 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } } }, "delete": { - "tags": ["Assistants"], + "tags": [ + "Assistants" + ], "summary": "Delete Assistant", "description": "Delete an assistant by ID.\n\nAll versions of the assistant will be deleted as well.", "operationId": "delete_assistant_assistants__assistant_id__delete", @@ -187,13 +218,19 @@ "responses": { "200": { "description": "Success", - "content": { "application/json": { "schema": {} } } + "content": { + "application/json": { + "schema": {} + } + } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -201,14 +238,18 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } } }, "patch": { - "tags": ["Assistants"], + "tags": [ + "Assistants" + ], "summary": "Patch Assistant", "description": "Update an assistant.", "operationId": "patch_assistant_assistants__assistant_id__patch", @@ -229,7 +270,9 @@ "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/AssistantPatch" } + "schema": { + "$ref": "#/components/schemas/AssistantPatch" + } } }, "required": true @@ -239,7 +282,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Assistant" } + "schema": { + "$ref": "#/components/schemas/Assistant" + } } } }, @@ -247,7 +292,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -255,7 +302,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -264,7 +313,9 @@ }, "/assistants/{assistant_id}/graph": { "get": { - "tags": ["Assistants"], + "tags": [ + "Assistants" + ], "summary": "Get Assistant Graph", "description": "Get an assistant by ID.", "operationId": "get_assistant_graph_assistants__assistant_id__graph_get", @@ -294,7 +345,14 @@ "description": "Include graph representation of subgraphs. If an integer value is provided, only subgraphs with a depth less than or equal to the value will be included.", "required": false, "schema": { - "oneOf": [{ "type": "boolean" }, { "type": "integer" }], + "oneOf": [ + { + "type": "boolean" + }, + { + "type": "integer" + } + ], "title": "Xray", "default": false, "description": "Include graph representation of subgraphs. If an integer value is provided, only subgraphs with a depth less than or equal to the value will be included." @@ -310,7 +368,9 @@ "application/json": { "schema": { "additionalProperties": { - "items": { "type": "object" }, + "items": { + "type": "object" + }, "type": "array" }, "type": "object", @@ -323,7 +383,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -331,7 +393,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -340,7 +404,9 @@ }, "/assistants/{assistant_id}/subgraphs": { "get": { - "tags": ["Assistants"], + "tags": [ + "Assistants" + ], "summary": "Get Assistant Subgraphs", "description": "Get an assistant's subgraphs.", "operationId": "get_assistant_subgraphs_assistants__assistant_id__subgraphs_get", @@ -373,7 +439,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Subgraphs" } + "schema": { + "$ref": "#/components/schemas/Subgraphs" + } } } }, @@ -381,7 +449,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -389,7 +459,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -398,7 +470,9 @@ }, "/assistants/{assistant_id}/subgraphs/{namespace}": { "get": { - "tags": ["Assistants"], + "tags": [ + "Assistants" + ], "summary": "Get Assistant Subgraphs by Namespace", "description": "Get an assistant's subgraphs filtered by namespace.", "operationId": "get_assistant_subgraphs_assistants__assistant_id__subgraphs__namespace__get", @@ -417,7 +491,10 @@ { "description": "Namespace of the subgraph to filter by.", "required": true, - "schema": { "type": "string", "title": "Namespace" }, + "schema": { + "type": "string", + "title": "Namespace" + }, "name": "namespace", "in": "path" }, @@ -438,7 +515,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Subgraphs" } + "schema": { + "$ref": "#/components/schemas/Subgraphs" + } } } }, @@ -446,7 +525,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -455,7 +536,9 @@ }, "/assistants/{assistant_id}/schemas": { "get": { - "tags": ["Assistants"], + "tags": [ + "Assistants" + ], "summary": "Get Assistant Schemas", "description": "Get an assistant by ID.", "operationId": "get_assistant_schemas_assistants__assistant_id__schemas_get", @@ -478,7 +561,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/GraphSchema" } + "schema": { + "$ref": "#/components/schemas/GraphSchema" + } } } }, @@ -486,7 +571,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -494,7 +581,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -503,7 +592,9 @@ }, "/assistants/{assistant_id}/versions": { "post": { - "tags": ["Assistants"], + "tags": [ + "Assistants" + ], "summary": "Get Assistant Versions", "description": "Get all versions of an assistant.", "operationId": "get_assistant_versions_assistants__assistant_id__versions_get", @@ -527,7 +618,9 @@ "content": { "application/json": { "schema": { - "items": { "$ref": "#/components/schemas/Assistant" }, + "items": { + "$ref": "#/components/schemas/Assistant" + }, "type": "array", "title": "Response Search Assistants Assistants Search Post" } @@ -538,7 +631,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -547,7 +642,9 @@ }, "/assistants/{assistant_id}/latest": { "post": { - "tags": ["Assistants"], + "tags": [ + "Assistants" + ], "summary": "Set Latest Assistant Version", "description": "Set the latest version for an assistant.", "operationId": "set_latest_assistant_version_assistants__assistant_id__versions_post", @@ -581,7 +678,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Assistant" } + "schema": { + "$ref": "#/components/schemas/Assistant" + } } } }, @@ -589,7 +688,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -597,7 +698,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -606,14 +709,18 @@ }, "/threads": { "post": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Create Thread", "description": "Create a thread.", "operationId": "create_thread_threads_post", "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ThreadCreate" } + "schema": { + "$ref": "#/components/schemas/ThreadCreate" + } } }, "required": true @@ -623,7 +730,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Thread" } + "schema": { + "$ref": "#/components/schemas/Thread" + } } } }, @@ -631,7 +740,9 @@ "description": "Conflict", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -639,7 +750,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -648,7 +761,9 @@ }, "/threads/search": { "post": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Search Threads", "description": "Search for threads.\n\nThis endpoint also functions as the endpoint to list all threads.", "operationId": "search_threads_threads_search_post", @@ -668,7 +783,9 @@ "content": { "application/json": { "schema": { - "items": { "$ref": "#/components/schemas/Thread" }, + "items": { + "$ref": "#/components/schemas/Thread" + }, "type": "array", "title": "Response Search Threads Threads Search Post" } @@ -679,7 +796,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -688,7 +807,9 @@ }, "/threads/{thread_id}/state": { "get": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Get Thread State", "description": "Get state for a thread.\n\nThe latest state of the thread (i.e. latest checkpoint) is returned.", "operationId": "get_latest_thread_state_threads__thread_id__state_get", @@ -722,7 +843,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ThreadState" } + "schema": { + "$ref": "#/components/schemas/ThreadState" + } } } }, @@ -730,14 +853,18 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } } }, "post": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Update Thread State", "description": "Add state to a thread.", "operationId": "update_thread_state_threads__thread_id__state_post", @@ -758,7 +885,9 @@ "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ThreadStateUpdate" } + "schema": { + "$ref": "#/components/schemas/ThreadStateUpdate" + } } }, "required": true @@ -778,7 +907,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -787,7 +918,9 @@ }, "/threads/{thread_id}/state/{checkpoint_id}": { "get": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Get Thread State At Checkpoint", "description": "Get state for a thread at a specific checkpoint.", "operationId": "get_thread_state_at_checkpoint_threads__thread_id__state__checkpoint_id__get", @@ -833,7 +966,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ThreadState" } + "schema": { + "$ref": "#/components/schemas/ThreadState" + } } } }, @@ -841,7 +976,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -850,7 +987,9 @@ }, "/threads/{thread_id}/state/checkpoint": { "post": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Get Thread State At Checkpoint", "description": "Get state for a thread at a specific checkpoint.", "operationId": "post_thread_state_at_checkpoint_threads__thread_id__state__checkpoint_id__get", @@ -893,7 +1032,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ThreadState" } + "schema": { + "$ref": "#/components/schemas/ThreadState" + } } } }, @@ -901,7 +1042,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -910,7 +1053,9 @@ }, "/threads/{thread_id}/history": { "get": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Get Thread History", "description": "Get all past states for a thread.", "operationId": "get_thread_history_threads__thread_id__history_get", @@ -929,13 +1074,20 @@ }, { "required": false, - "schema": { "type": "integer", "title": "Limit", "default": 10 }, + "schema": { + "type": "integer", + "title": "Limit", + "default": 10 + }, "name": "limit", "in": "query" }, { "required": false, - "schema": { "type": "string", "title": "Before" }, + "schema": { + "type": "string", + "title": "Before" + }, "name": "before", "in": "query" } @@ -959,14 +1111,18 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } } }, "post": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Get Thread History Post", "description": "Get all past states for a thread.", "operationId": "get_thread_history_post_threads__thread_id__history_post", @@ -987,7 +1143,9 @@ "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ThreadStateSearch" } + "schema": { + "$ref": "#/components/schemas/ThreadStateSearch" + } } }, "required": true @@ -1011,7 +1169,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1020,7 +1180,9 @@ }, "/threads/{thread_id}/copy": { "post": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Copy Thread", "description": "Create a new thread with a copy of the state and checkpoints from an existing thread.", "operationId": "copy_thread_post_threads__thread_id__copy_post", @@ -1043,7 +1205,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Thread" } + "schema": { + "$ref": "#/components/schemas/Thread" + } } } }, @@ -1051,7 +1215,9 @@ "description": "Conflict", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1059,7 +1225,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1068,7 +1236,9 @@ }, "/threads/{thread_id}": { "get": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Get Thread", "description": "Get a thread by ID.", "operationId": "get_thread_threads__thread_id__get", @@ -1091,7 +1261,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Thread" } + "schema": { + "$ref": "#/components/schemas/Thread" + } } } }, @@ -1099,7 +1271,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1107,14 +1281,18 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } } }, "delete": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Delete Thread", "description": "Delete a thread by ID.", "operationId": "delete_thread_threads__thread_id__delete", @@ -1135,13 +1313,19 @@ "responses": { "200": { "description": "Success", - "content": { "application/json": { "schema": {} } } + "content": { + "application/json": { + "schema": {} + } + } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1149,14 +1333,18 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } } }, "patch": { - "tags": ["Threads"], + "tags": [ + "Threads" + ], "summary": "Patch Thread", "description": "Update a thread.", "operationId": "patch_thread_threads__thread_id__patch", @@ -1177,7 +1365,9 @@ "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ThreadPatch" } + "schema": { + "$ref": "#/components/schemas/ThreadPatch" + } } }, "required": true @@ -1187,7 +1377,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Thread" } + "schema": { + "$ref": "#/components/schemas/Thread" + } } } }, @@ -1195,7 +1387,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1203,7 +1397,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1212,7 +1408,9 @@ }, "/threads/{thread_id}/runs": { "get": { - "tags": ["Thread Runs"], + "tags": [ + "Thread Runs" + ], "summary": "List Runs", "description": "List runs for a thread.", "operationId": "list_runs_http_threads__thread_id__runs_get", @@ -1231,13 +1429,21 @@ }, { "required": false, - "schema": { "type": "integer", "title": "Limit", "default": 10 }, + "schema": { + "type": "integer", + "title": "Limit", + "default": 10 + }, "name": "limit", "in": "query" }, { "required": false, - "schema": { "type": "integer", "title": "Offset", "default": 0 }, + "schema": { + "type": "integer", + "title": "Offset", + "default": 0 + }, "name": "offset", "in": "query" }, @@ -1245,7 +1451,13 @@ "required": false, "schema": { "type": "string", - "enum": ["pending", "error", "success", "timeout", "interrupted"] + "enum": [ + "pending", + "error", + "success", + "timeout", + "interrupted" + ] }, "name": "status", "in": "query" @@ -1257,7 +1469,9 @@ "content": { "application/json": { "schema": { - "items": { "$ref": "#/components/schemas/Run" }, + "items": { + "$ref": "#/components/schemas/Run" + }, "type": "array" } } @@ -1267,7 +1481,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1275,14 +1491,18 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } } }, "post": { - "tags": ["Thread Runs"], + "tags": [ + "Thread Runs" + ], "summary": "Create Background Run", "description": "Create a run in existing thread, return the run ID immediately. Don't wait for the final run output.", "operationId": "create_run_threads__thread_id__runs_post", @@ -1303,7 +1523,9 @@ "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/RunCreateStateful" } + "schema": { + "$ref": "#/components/schemas/RunCreateStateful" + } } }, "required": true @@ -1313,7 +1535,17 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Run" } + "schema": { + "$ref": "#/components/schemas/Run" + } + } + }, + "headers": { + "Content-Location": { + "description": "The URL of the run that was created. Can be used to later join the stream.", + "schema": { + "type": "string" + } } } }, @@ -1321,7 +1553,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1329,7 +1563,9 @@ "description": "Conflict", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1337,7 +1573,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1346,7 +1584,9 @@ }, "/threads/{thread_id}/runs/crons": { "post": { - "tags": ["Crons (Plus tier)"], + "tags": [ + "Crons (Plus tier)" + ], "summary": "Create Thread Cron", "description": "Create a cron to schedule runs on a thread.", "operationId": "create_thread_cron_threads__thread_id__runs_crons_post", @@ -1367,7 +1607,9 @@ "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/CronCreate" } + "schema": { + "$ref": "#/components/schemas/CronCreate" + } } }, "required": true @@ -1377,7 +1619,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Cron" } + "schema": { + "$ref": "#/components/schemas/Cron" + } } } }, @@ -1385,7 +1629,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1393,7 +1639,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1402,7 +1650,9 @@ }, "/threads/{thread_id}/runs/stream": { "post": { - "tags": ["Thread Runs"], + "tags": [ + "Thread Runs" + ], "summary": "Create Run, Stream Output", "description": "Create a run in existing thread. Stream the output.", "operationId": "stream_run_threads__thread_id__runs_stream_post", @@ -1423,7 +1673,9 @@ "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/RunCreateStateful" } + "schema": { + "$ref": "#/components/schemas/RunCreateStateful" + } } }, "required": true @@ -1438,13 +1690,23 @@ "description": "The server will send a stream of events in SSE format.\n\n**Example event**:\n\nid: 1\n\nevent: message\n\ndata: {}" } } + }, + "headers": { + "Content-Location": { + "description": "The URL of the run that was created. Can be used to later join the stream.", + "schema": { + "type": "string" + } + } } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1452,7 +1714,9 @@ "description": "Conflict", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1460,7 +1724,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1469,7 +1735,9 @@ }, "/threads/{thread_id}/runs/wait": { "post": { - "tags": ["Thread Runs"], + "tags": [ + "Thread Runs" + ], "summary": "Create Run, Wait for Output", "description": "Create a run in existing thread. Wait for the final output and then return it.", "operationId": "wait_run_threads__thread_id__runs_wait_post", @@ -1490,7 +1758,9 @@ "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/RunCreateStateful" } + "schema": { + "$ref": "#/components/schemas/RunCreateStateful" + } } }, "required": true @@ -1498,13 +1768,27 @@ "responses": { "200": { "description": "Success", - "content": { "application/json": { "schema": {} } } + "content": { + "application/json": { + "schema": {} + } + }, + "headers": { + "Content-Location": { + "description": "The URL of the run that was created. Can be used to later join the stream.", + "schema": { + "type": "string" + } + } + } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1512,7 +1796,9 @@ "description": "Conflict", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1520,7 +1806,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1529,7 +1817,9 @@ }, "/threads/{thread_id}/runs/{run_id}": { "get": { - "tags": ["Thread Runs"], + "tags": [ + "Thread Runs" + ], "summary": "Get Run", "description": "Get a run by ID.", "operationId": "get_run_http_threads__thread_id__runs__run_id__get", @@ -1564,7 +1854,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Run" } + "schema": { + "$ref": "#/components/schemas/Run" + } } } }, @@ -1572,7 +1864,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1580,14 +1874,18 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } } }, "delete": { - "tags": ["Thread Runs"], + "tags": [ + "Thread Runs" + ], "summary": "Delete Run", "description": "Delete a run by ID.", "operationId": "delete_run_threads__thread_id__runs__run_id__delete", @@ -1620,13 +1918,19 @@ "responses": { "200": { "description": "Success", - "content": { "application/json": { "schema": {} } } + "content": { + "application/json": { + "schema": {} + } + } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1634,7 +1938,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1643,7 +1949,9 @@ }, "/threads/{thread_id}/runs/{run_id}/join": { "get": { - "tags": ["Thread Runs"], + "tags": [ + "Thread Runs" + ], "summary": "Join Run", "description": "Wait for a run to finish.", "operationId": "join_run_http_threads__thread_id__runs__run_id__join_get", @@ -1687,13 +1995,19 @@ "responses": { "200": { "description": "Success", - "content": { "application/json": { "schema": {} } } + "content": { + "application/json": { + "schema": {} + } + } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1701,7 +2015,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1710,9 +2026,11 @@ }, "/threads/{thread_id}/runs/{run_id}/stream": { "get": { - "tags": ["Thread Runs"], + "tags": [ + "Thread Runs" + ], "summary": "Join Run Stream", - "description": "Join a run stream. This endpoint streams output in real-time from a run similar to the /threads/__THREAD_ID__/runs/stream endpoint. Only output produced after this endpoint is called will be streamed.", + "description": "Join a run stream. This endpoint streams output in real-time from a run similar to the /threads/__THREAD_ID__/runs/stream endpoint. If the run has been created with `stream_resumable=true`, the stream can be resumed from the last seen event ID.", "operationId": "stream_run_http_threads__thread_id__runs__run_id__join_get", "parameters": [ { @@ -1738,6 +2056,37 @@ }, "name": "run_id", "in": "path" + }, + { + "required": false, + "schema": { + "type": "string", + "title": "Last Event ID", + "description": "The ID of the last event received. Set to -1 if you want to stream all events. Requires `stream_resumable=true` to be set when creating the run." + }, + "name": "Last-Event-ID", + "in": "header" + }, + { + "required": false, + "schema": { + "type": "string", + "title": "Stream Mode", + "description": "The mode to stream the run in. If not provided, the default mode will be used." + }, + "name": "stream_mode", + "in": "query" + }, + { + "required": false, + "schema": { + "type": "boolean", + "title": "Cancel On Disconnect", + "description": "If true, the run will be cancelled if the client disconnects.", + "default": false + }, + "name": "cancel_on_disconnect", + "in": "query" } ], "responses": { @@ -1756,7 +2105,9 @@ "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1764,7 +2115,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1773,7 +2126,9 @@ }, "/threads/{thread_id}/runs/{run_id}/cancel": { "post": { - "tags": ["Thread Runs"], + "tags": [ + "Thread Runs" + ], "summary": "Cancel Run", "operationId": "cancel_run_http_threads__thread_id__runs__run_id__cancel_post", "parameters": [ @@ -1816,7 +2171,10 @@ "required": false, "schema": { "type": "string", - "enum": ["interrupt", "rollback"], + "enum": [ + "interrupt", + "rollback" + ], "title": "Action", "default": "interrupt" }, @@ -1827,13 +2185,19 @@ "responses": { "200": { "description": "Success", - "content": { "application/json": { "schema": {} } } + "content": { + "application/json": { + "schema": {} + } + } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1841,7 +2205,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1850,58 +2216,20 @@ }, "/runs/crons": { "post": { - "tags": ["Crons (Plus tier)"], + "tags": [ + "Crons (Plus tier)" + ], "summary": "Create Cron", "description": "Create a cron to schedule runs on new threads.", "operationId": "create_cron_runs_crons_post", "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/CronCreate" } - } - }, - "required": true - }, - "responses": { - "200": { - "description": "Success", - "content": { - "application/json": { - "schema": { "$ref": "#/components/schemas/Cron" } + "schema": { + "$ref": "#/components/schemas/CronCreate" } } }, - "404": { - "description": "Not Found", - "content": { - "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } - } - } - }, - "422": { - "description": "Validation Error", - "content": { - "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } - } - } - } - } - } - }, - "/runs/crons/search": { - "post": { - "tags": ["Crons (Plus tier)"], - "summary": "Search Crons", - "description": "Search all active crons", - "operationId": "search_crons_runs_crons_post", - "requestBody": { - "content": { - "application/json": { - "schema": { "$ref": "#/components/schemas/CronSearch" } - } - }, "required": true }, "responses": { @@ -1910,7 +2238,61 @@ "content": { "application/json": { "schema": { - "items": { "$ref": "#/components/schemas/Cron" }, + "$ref": "#/components/schemas/Cron" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/runs/crons/search": { + "post": { + "tags": [ + "Crons (Plus tier)" + ], + "summary": "Search Crons", + "description": "Search all active crons", + "operationId": "search_crons_runs_crons_post", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CronSearch" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/Cron" + }, "type": "array", "title": "Response Search Crons Search Post" } @@ -1921,7 +2303,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1930,7 +2314,9 @@ }, "/runs/stream": { "post": { - "tags": ["Stateless Runs"], + "tags": [ + "Stateless Runs" + ], "summary": "Create Run, Stream Output", "description": "Create a run in a new thread, stream the output.", "operationId": "stream_run_stateless_runs_stream_post", @@ -1954,13 +2340,23 @@ "description": "The server will send a stream of events in SSE format.\n\n**Example event**:\n\nid: 1\n\nevent: message\n\ndata: {}" } } + }, + "headers": { + "Content-Location": { + "description": "The URL of the run that was created. Can be used to later join the stream.", + "schema": { + "type": "string" + } + } } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1968,7 +2364,9 @@ "description": "Conflict", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -1976,7 +2374,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -1985,7 +2385,9 @@ }, "/runs/cancel": { "post": { - "tags": ["Thread Runs"], + "tags": [ + "Thread Runs" + ], "summary": "Cancel Runs", "description": "Cancel one or more runs. Can cancel runs by thread ID and run IDs, or by status filter.", "operationId": "cancel_runs_post", @@ -1995,7 +2397,10 @@ "required": false, "schema": { "type": "string", - "enum": ["interrupt", "rollback"], + "enum": [ + "interrupt", + "rollback" + ], "title": "Action", "default": "interrupt" }, @@ -2006,18 +2411,24 @@ "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/RunsCancel" } + "schema": { + "$ref": "#/components/schemas/RunsCancel" + } } }, "required": true }, "responses": { - "204": { "description": "Success - Runs cancelled" }, + "204": { + "description": "Success - Runs cancelled" + }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -2025,7 +2436,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -2034,7 +2447,9 @@ }, "/runs/wait": { "post": { - "tags": ["Stateless Runs"], + "tags": [ + "Stateless Runs" + ], "summary": "Create Run, Wait for Output", "description": "Create a run in a new thread. Wait for the final output and then return it.", "operationId": "wait_run_stateless_runs_wait_post", @@ -2051,13 +2466,27 @@ "responses": { "200": { "description": "Success", - "content": { "application/json": { "schema": {} } } + "content": { + "application/json": { + "schema": {} + } + }, + "headers": { + "Content-Location": { + "description": "The URL of the run that was created. Can be used to later join the stream.", + "schema": { + "type": "string" + } + } + } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -2065,7 +2494,9 @@ "description": "Conflict", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -2073,7 +2504,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -2082,7 +2515,9 @@ }, "/runs": { "post": { - "tags": ["Stateless Runs"], + "tags": [ + "Stateless Runs" + ], "summary": "Create Background Run", "description": "Create a run in a new thread, return the run ID immediately. Don't wait for the final run output.", "operationId": "run_stateless_runs_post", @@ -2099,13 +2534,27 @@ "responses": { "200": { "description": "Success", - "content": { "application/json": { "schema": {} } } + "content": { + "application/json": { + "schema": {} + } + }, + "headers": { + "Content-Location": { + "description": "The URL of the run that was created. Can be used to later join the stream.", + "schema": { + "type": "string" + } + } + } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -2113,7 +2562,9 @@ "description": "Conflict", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -2121,7 +2572,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -2130,14 +2583,18 @@ }, "/runs/batch": { "post": { - "tags": ["Stateless Runs"], + "tags": [ + "Stateless Runs" + ], "summary": "Create Run Batch", "description": "Create a batch of runs in new threads, return immediately.", "operationId": "run_batch_stateless_runs_post", "requestBody": { "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/RunBatchCreate" } + "schema": { + "$ref": "#/components/schemas/RunBatchCreate" + } } }, "required": true @@ -2145,13 +2602,19 @@ "responses": { "200": { "description": "Success", - "content": { "application/json": { "schema": {} } } + "content": { + "application/json": { + "schema": {} + } + } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -2159,7 +2622,9 @@ "description": "Conflict", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -2167,7 +2632,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -2176,7 +2643,9 @@ }, "/runs/crons/{cron_id}": { "delete": { - "tags": ["Crons (Plus tier)"], + "tags": [ + "Crons (Plus tier)" + ], "summary": "Delete Cron", "description": "Delete a cron by ID.", "operationId": "delete_cron_runs_crons__cron_id__delete", @@ -2195,13 +2664,19 @@ "responses": { "200": { "description": "Success", - "content": { "application/json": { "schema": {} } } + "content": { + "application/json": { + "schema": {} + } + } }, "404": { "description": "Not Found", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -2209,7 +2684,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -2218,31 +2695,41 @@ }, "/store/items": { "put": { - "tags": ["Store"], + "tags": [ + "Store" + ], "summary": "Store or update an item.", "operationId": "put_item", "requestBody": { "required": true, "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/StorePutRequest" } + "schema": { + "$ref": "#/components/schemas/StorePutRequest" + } } } }, "responses": { - "204": { "description": "Success" }, + "204": { + "description": "Success" + }, "422": { "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } } }, "delete": { - "tags": ["Store"], + "tags": [ + "Store" + ], "summary": "Delete an item.", "operationId": "delete_item", "requestBody": { @@ -2256,19 +2743,25 @@ } }, "responses": { - "204": { "description": "Success" }, + "204": { + "description": "Success" + }, "422": { "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } } }, "get": { - "tags": ["Store"], + "tags": [ + "Store" + ], "summary": "Retrieve a single item.", "operationId": "get_item", "parameters": [ @@ -2276,13 +2769,20 @@ "name": "key", "in": "query", "required": true, - "schema": { "type": "string" } + "schema": { + "type": "string" + } }, { "name": "namespace", "in": "query", "required": false, - "schema": { "type": "array", "items": { "type": "string" } } + "schema": { + "type": "array", + "items": { + "type": "string" + } + } } ], "responses": { @@ -2290,7 +2790,9 @@ "description": "Success", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Item" } + "schema": { + "$ref": "#/components/schemas/Item" + } } } }, @@ -2298,7 +2800,9 @@ "description": "Bad Request", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } }, @@ -2306,7 +2810,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -2315,7 +2821,9 @@ }, "/store/items/search": { "post": { - "tags": ["Store"], + "tags": [ + "Store" + ], "summary": "Search for items within a namespace prefix.", "operationId": "search_items", "requestBody": { @@ -2343,7 +2851,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -2352,7 +2862,9 @@ }, "/store/namespaces": { "post": { - "tags": ["Store"], + "tags": [ + "Store" + ], "summary": "List namespaces with optional match conditions.", "operationId": "list_namespaces", "requestBody": { @@ -2380,7 +2892,9 @@ "description": "Validation Error", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } @@ -2399,7 +2913,9 @@ "required": true, "schema": { "type": "string", - "enum": ["application/json, text/event-stream"] + "enum": [ + "application/json, text/event-stream" + ] }, "description": "Accept header must include both 'application/json' and 'text/event-stream' media types." } @@ -2408,7 +2924,9 @@ "required": true, "content": { "application/json": { - "schema": { "type": "object" }, + "schema": { + "type": "object" + }, "description": "A JSON-RPC 2.0 request, notification, or response object.", "example": { "jsonrpc": "2.0", @@ -2430,7 +2948,11 @@ "200": { "description": "Successful JSON-RPC response.", "content": { - "application/json": { "schema": { "type": "object" } } + "application/json": { + "schema": { + "type": "object" + } + } } }, "202": { @@ -2439,12 +2961,16 @@ "400": { "description": "Bad request: invalid JSON or message format, or unacceptable Accept header." }, - "405": { "description": "HTTP method not allowed." }, + "405": { + "description": "HTTP method not allowed." + }, "500": { "description": "Internal server error or unexpected failure." } }, - "tags": ["MCP"] + "tags": [ + "MCP" + ] }, "get": { "operationId": "get_mcp", @@ -2455,14 +2981,20 @@ "description": "GET method not allowed; streaming not supported." } }, - "tags": ["MCP"] + "tags": [ + "MCP" + ] }, "delete": { "operationId": "delete_mcp", "summary": "Terminate Session", "description": "Implemented according to the Streamable HTTP Transport specification.\nTerminate an MCP session. The server implementation is stateless, so this is a no-op.\n\n", - "responses": { "404": {} }, - "tags": ["MCP"] + "responses": { + "404": {} + }, + "tags": [ + "MCP" + ] } } }, @@ -2484,7 +3016,9 @@ "config": { "properties": { "tags": { - "items": { "type": "string" }, + "items": { + "type": "string" + }, "type": "array", "title": "Tags" }, @@ -2492,7 +3026,10 @@ "type": "integer", "title": "Recursion Limit" }, - "configurable": { "type": "object", "title": "Configurable" } + "configurable": { + "type": "object", + "title": "Configurable" + } }, "type": "object", "title": "Config", @@ -2526,7 +3063,10 @@ "description": "The name of the assistant" }, "description": { - "type": ["string", "null"], + "type": [ + "string", + "null" + ], "title": "Assistant Description", "description": "The description of the assistant" } @@ -2567,7 +3107,10 @@ }, "if_exists": { "type": "string", - "enum": ["raise", "do_nothing"], + "enum": [ + "raise", + "do_nothing" + ], "title": "If Exists", "description": "How to handle duplicate creation. Must be either 'raise' (raise error if duplicate), or 'do_nothing' (return existing assistant).", "default": "raise" @@ -2578,13 +3121,18 @@ "description": "The name of the assistant. Defaults to 'Untitled'." }, "description": { - "type": ["string", "null"], + "type": [ + "string", + "null" + ], "title": "Description", "description": "The description of the assistant. Defaults to null." } }, "type": "object", - "required": ["graph_id"], + "required": [ + "graph_id" + ], "title": "AssistantCreate", "description": "Payload for creating an assistant." }, @@ -2601,7 +3149,8 @@ "description": "Configuration to use for the graph. Useful when graph is configurable and you want to update the assistant's configuration." }, "metadata": { - "type": "object", "title": "Metadata", + "type": "object", + "title": "Metadata", "description": "Metadata to merge with existing assistant metadata." }, "name": { @@ -2634,12 +3183,20 @@ "Config": { "properties": { "tags": { - "items": { "type": "string" }, + "items": { + "type": "string" + }, "type": "array", "title": "Tags" }, - "recursion_limit": { "type": "integer", "title": "Recursion Limit" }, - "configurable": { "type": "object", "title": "Configurable" } + "recursion_limit": { + "type": "integer", + "title": "Recursion Limit" + }, + "configurable": { + "type": "object", + "title": "Configurable" + } }, "type": "object", "title": "Config" @@ -2713,7 +3270,6 @@ "title": "End Time", "description": "The end date to stop running the cron." }, - "assistant_id": { "anyOf": [ { @@ -2721,14 +3277,24 @@ "format": "uuid", "title": "Assistant Id" }, - { "type": "string", "title": "Graph Id" } + { + "type": "string", + "title": "Graph Id" + } ], "description": "The assistant ID or graph name to run. If using graph name, will default to the assistant automatically created from that graph by the server." }, "input": { "anyOf": [ - { "items": { "type": "object" }, "type": "array" }, - { "type": "object" } + { + "items": { + "type": "object" + }, + "type": "array" + }, + { + "type": "object" + } ], "title": "Input", "description": "The input to the graph." @@ -2741,7 +3307,9 @@ "config": { "properties": { "tags": { - "items": { "type": "string" }, + "items": { + "type": "string" + }, "type": "array", "title": "Tags" }, @@ -2749,7 +3317,10 @@ "type": "integer", "title": "Recursion Limit" }, - "configurable": { "type": "object", "title": "Configurable" } + "configurable": { + "type": "object", + "title": "Configurable" + } }, "type": "object", "title": "Config", @@ -2765,30 +3336,58 @@ }, "interrupt_before": { "anyOf": [ - { "type": "string", "enum": ["*"] }, - { "items": { "type": "string" }, "type": "array" } + { + "type": "string", + "enum": [ + "*" + ] + }, + { + "items": { + "type": "string" + }, + "type": "array" + } ], "title": "Interrupt Before", "description": "Nodes to interrupt immediately before they get executed." }, "interrupt_after": { "anyOf": [ - { "type": "string", "enum": ["*"] }, - { "items": { "type": "string" }, "type": "array" } + { + "type": "string", + "enum": [ + "*" + ] + }, + { + "items": { + "type": "string" + }, + "type": "array" + } ], "title": "Interrupt After", "description": "Nodes to interrupt immediately after they get executed." }, "multitask_strategy": { "type": "string", - "enum": ["reject", "rollback", "interrupt", "enqueue"], + "enum": [ + "reject", + "rollback", + "interrupt", + "enqueue" + ], "title": "Multitask Strategy", "description": "Multitask strategy to use. Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.", "default": "reject" } }, "type": "object", - "required": ["assistant_id", "schedule"], + "required": [ + "assistant_id", + "schedule" + ], "title": "CronCreate", "description": "Payload for creating a cron job." }, @@ -2823,15 +3422,17 @@ }, "sort_by": { "type": "string", - "enum": ["cron_id", "assistant_id", "thread_id", "next_run_date", "end_time", "created_at", "updated_at"], "title": "Sort By", - "description": "The field to sort by." + "description": "The field to sort by.", + "default": "created_at", + "enum": ["cron_id", "assistant_id", "thread_id", "next_run_date", "end_time", "created_at", "updated_at"] }, "sort_order": { "type": "string", - "enum": ["asc", "desc"], "title": "Sort Order", - "description": "The order to sort by." + "description": "The order to sort by.", + "default": "desc", + "enum": ["asc", "desc"] } }, "type": "object", @@ -2868,7 +3469,11 @@ } }, "type": "object", - "required": ["graph_id", "state_schema", "config_schema"], + "required": [ + "graph_id", + "state_schema", + "config_schema" + ], "title": "GraphSchema", "description": "Defines the structure and properties of a graph." }, @@ -2947,19 +3552,34 @@ }, "status": { "type": "string", - "enum": ["pending", "error", "success", "timeout", "interrupted"], + "enum": [ + "pending", + "running", + "error", + "success", + "timeout", + "interrupted" + ], "title": "Status", - "description": "The status of the run. One of 'pending', 'error', 'success', 'timeout', 'interrupted'." + "description": "The status of the run. One of 'pending', 'running', 'error', 'success', 'timeout', 'interrupted'." }, "metadata": { "type": "object", "title": "Metadata", "description": "The run metadata." }, - "kwargs": { "type": "object", "title": "Kwargs" }, + "kwargs": { + "type": "object", + "title": "Kwargs" + }, "multitask_strategy": { "type": "string", - "enum": ["reject", "rollback", "interrupt", "enqueue"], + "enum": [ + "reject", + "rollback", + "interrupt", + "enqueue" + ], "title": "Multitask Strategy", "description": "Strategy to handle concurrent runs on the same thread." } @@ -2989,12 +3609,22 @@ "description": "The node to send the message to." }, "input": { - "type": ["object", "array", "number", "string", "boolean", "null"], + "type": [ + "object", + "array", + "number", + "string", + "boolean", + "null" + ], "title": "Message", "description": "The message to send." } }, - "required": ["node", "input"] + "required": [ + "node", + "input" + ] }, "Command": { "type": "object", @@ -3002,25 +3632,49 @@ "description": "The command to run.", "properties": { "update": { - "type": ["object", "array", "null"], + "type": [ + "object", + "array", + "null" + ], "title": "Update", "description": "An update to the state." }, "resume": { - "type": ["object", "array", "number", "string", "boolean", "null"], + "type": [ + "object", + "array", + "number", + "string", + "boolean", + "null" + ], "title": "Resume", "description": "A value to pass to an interrupted node." }, "goto": { "anyOf": [ - { "$ref": "#/components/schemas/Send" }, + { + "$ref": "#/components/schemas/Send" + }, { "type": "array", - "items": { "$ref": "#/components/schemas/Send" } + "items": { + "$ref": "#/components/schemas/Send" + } }, - { "type": "string" }, - { "type": "array", "items": { "type": "string" } }, - { "type": "null" } + { + "type": "string" + }, + { + "type": "array", + "items": { + "type": "string" + } + }, + { + "type": "null" + } ], "title": "Goto", "description": "Name of the node(s) to navigate to next or node(s) to be executed with a provided input." @@ -3036,7 +3690,10 @@ "format": "uuid", "title": "Assistant Id" }, - { "type": "string", "title": "Graph Id" } + { + "type": "string", + "title": "Graph Id" + } ], "description": "The assistant ID or graph name to run. If using graph name, will default to first assistant created from that graph." }, @@ -3048,20 +3705,36 @@ }, "input": { "anyOf": [ - { "type": "object" }, - { "type": "array" }, - { "type": "string" }, - { "type": "number" }, - { "type": "boolean" }, - { "type": "null" } + { + "type": "object" + }, + { + "type": "array" + }, + { + "type": "string" + }, + { + "type": "number" + }, + { + "type": "boolean" + }, + { + "type": "null" + } ], "title": "Input", "description": "The input to the graph." }, "command": { "anyOf": [ - { "$ref": "#/components/schemas/Command" }, - { "type": "null" } + { + "$ref": "#/components/schemas/Command" + }, + { + "type": "null" + } ], "title": "Input", "description": "The input to the graph." @@ -3074,7 +3747,9 @@ "config": { "properties": { "tags": { - "items": { "type": "string" }, + "items": { + "type": "string" + }, "type": "array", "title": "Tags" }, @@ -3082,7 +3757,10 @@ "type": "integer", "title": "Recursion Limit" }, - "configurable": { "type": "object", "title": "Configurable" } + "configurable": { + "type": "object", + "title": "Configurable" + } }, "type": "object", "title": "Config", @@ -3098,16 +3776,36 @@ }, "interrupt_before": { "anyOf": [ - { "type": "string", "enum": ["*"] }, - { "items": { "type": "string" }, "type": "array" } + { + "type": "string", + "enum": [ + "*" + ] + }, + { + "items": { + "type": "string" + }, + "type": "array" + } ], "title": "Interrupt Before", "description": "Nodes to interrupt immediately before they get executed." }, "interrupt_after": { "anyOf": [ - { "type": "string", "enum": ["*"] }, - { "items": { "type": "string" }, "type": "array" } + { + "type": "string", + "enum": [ + "*" + ] + }, + { + "items": { + "type": "string" + }, + "type": "array" + } ], "title": "Interrupt After", "description": "Nodes to interrupt immediately after they get executed." @@ -3144,7 +3842,9 @@ ], "title": "Stream Mode", "description": "The stream mode(s) to use.", - "default": ["values"] + "default": [ + "values" + ] }, "stream_subgraphs": { "type": "boolean", @@ -3152,35 +3852,54 @@ "description": "Whether to stream output from subgraphs.", "default": false }, + "stream_resumable": { + "type": "boolean", + "title": "Stream Resumable", + "description": "Whether to persist the stream chunks in order to resume the stream later.", + "default": false + }, "on_disconnect": { "type": "string", - "enum": ["cancel", "continue"], + "enum": [ + "cancel", + "continue" + ], "title": "On Disconnect", "description": "The disconnect mode to use. Must be one of 'cancel' or 'continue'.", "default": "cancel" }, "feedback_keys": { - "items": { "type": "string" }, + "items": { + "type": "string" + }, "type": "array", "title": "Feedback Keys", "description": "Feedback keys to assign to run." }, "multitask_strategy": { "type": "string", - "enum": ["reject", "rollback", "interrupt", "enqueue"], + "enum": [ + "reject", + "rollback", + "interrupt", + "enqueue" + ], "title": "Multitask Strategy", "description": "Multitask strategy to use. Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.", "default": "reject" }, "if_not_exists": { "type": "string", - "enum": ["create", "reject"], + "enum": [ + "create", + "reject" + ], "title": "If Not Exists", "description": "How to handle missing thread. Must be either 'reject' (raise error if missing), or 'create' (create new thread).", "default": "reject" }, "after_seconds": { - "type": "integer", + "type": "number", "title": "After Seconds", "description": "The number of seconds to wait before starting the run. Use to schedule future runs." }, @@ -3192,13 +3911,17 @@ } }, "type": "object", - "required": ["assistant_id"], + "required": [ + "assistant_id" + ], "title": "RunCreateStateful", "description": "Payload for creating a run." }, "RunBatchCreate": { "type": "array", - "items": { "$ref": "#/components/schemas/RunCreateStateless" }, + "items": { + "$ref": "#/components/schemas/RunCreateStateless" + }, "minItems": 1, "title": "RunBatchCreate", "description": "Payload for creating a batch of runs." @@ -3212,26 +3935,45 @@ "format": "uuid", "title": "Assistant Id" }, - { "type": "string", "title": "Graph Id" } + { + "type": "string", + "title": "Graph Id" + } ], "description": "The assistant ID or graph name to run. If using graph name, will default to first assistant created from that graph." }, "input": { "anyOf": [ - { "type": "object" }, - { "type": "array" }, - { "type": "string" }, - { "type": "number" }, - { "type": "boolean" }, - { "type": "null" } + { + "type": "object" + }, + { + "type": "array" + }, + { + "type": "string" + }, + { + "type": "number" + }, + { + "type": "boolean" + }, + { + "type": "null" + } ], "title": "Input", "description": "The input to the graph." }, "command": { "anyOf": [ - { "$ref": "#/components/schemas/Command" }, - { "type": "null" } + { + "$ref": "#/components/schemas/Command" + }, + { + "type": "null" + } ], "title": "Input", "description": "The input to the graph." @@ -3244,7 +3986,9 @@ "config": { "properties": { "tags": { - "items": { "type": "string" }, + "items": { + "type": "string" + }, "type": "array", "title": "Tags" }, @@ -3252,7 +3996,10 @@ "type": "integer", "title": "Recursion Limit" }, - "configurable": { "type": "object", "title": "Configurable" } + "configurable": { + "type": "object", + "title": "Configurable" + } }, "type": "object", "title": "Config", @@ -3268,16 +4015,36 @@ }, "interrupt_before": { "anyOf": [ - { "type": "string", "enum": ["*"] }, - { "items": { "type": "string" }, "type": "array" } + { + "type": "string", + "enum": [ + "*" + ] + }, + { + "items": { + "type": "string" + }, + "type": "array" + } ], "title": "Interrupt Before", "description": "Nodes to interrupt immediately before they get executed." }, "interrupt_after": { "anyOf": [ - { "type": "string", "enum": ["*"] }, - { "items": { "type": "string" }, "type": "array" } + { + "type": "string", + "enum": [ + "*" + ] + }, + { + "items": { + "type": "string" + }, + "type": "array" + } ], "title": "Interrupt After", "description": "Nodes to interrupt immediately after they get executed." @@ -3314,10 +4081,14 @@ ], "title": "Stream Mode", "description": "The stream mode(s) to use.", - "default": ["values"] + "default": [ + "values" + ] }, "feedback_keys": { - "items": { "type": "string" }, + "items": { + "type": "string" + }, "type": "array", "title": "Feedback Keys", "description": "Feedback keys to assign to run." @@ -3328,22 +4099,34 @@ "description": "Whether to stream output from subgraphs.", "default": false }, + "stream_resumable": { + "type": "boolean", + "title": "Stream Resumable", + "description": "Whether to persist the stream chunks in order to resume the stream later.", + "default": false + }, "on_completion": { "type": "string", - "enum": ["delete", "keep"], + "enum": [ + "delete", + "keep" + ], "title": "On Completion", "description": "Whether to delete or keep the thread created for a stateless run. Must be one of 'delete' or 'keep'.", "default": "delete" }, "on_disconnect": { "type": "string", - "enum": ["cancel", "continue"], + "enum": [ + "cancel", + "continue" + ], "title": "On Disconnect", "description": "The disconnect mode to use. Must be one of 'cancel' or 'continue'.", "default": "cancel" }, "after_seconds": { - "type": "integer", + "type": "number", "title": "After Seconds", "description": "The number of seconds to wait before starting the run. Use to schedule future runs." }, @@ -3355,7 +4138,9 @@ } }, "type": "object", - "required": ["assistant_id"], + "required": [ + "assistant_id" + ], "title": "RunCreateStateless", "description": "Payload for creating a run." }, @@ -3400,7 +4185,10 @@ }, "sort_order": { "type": "string", - "enum": ["asc", "desc"], + "enum": [ + "asc", + "desc" + ], "title": "Sort Order", "description": "The order to sort by." } @@ -3450,7 +4238,12 @@ }, "status": { "type": "string", - "enum": ["idle", "busy", "interrupted", "error"], + "enum": [ + "idle", + "busy", + "interrupted", + "error" + ], "title": "Status", "description": "Thread status to filter on." }, @@ -3471,13 +4264,21 @@ }, "sort_by": { "type": "string", - "enum": ["thread_id", "status", "created_at", "updated_at"], + "enum": [ + "thread_id", + "status", + "created_at", + "updated_at" + ], "title": "Sort By", "description": "Sort by field." }, "sort_order": { "type": "string", - "enum": ["asc", "desc"], + "enum": [ + "asc", + "desc" + ], "title": "Sort Order", "description": "Sort order." } @@ -3513,7 +4314,12 @@ }, "status": { "type": "string", - "enum": ["idle", "busy", "interrupted", "error"], + "enum": [ + "idle", + "busy", + "interrupted", + "error" + ], "title": "Status", "description": "The status of the thread." }, @@ -3548,7 +4354,10 @@ }, "if_exists": { "type": "string", - "enum": ["raise", "do_nothing"], + "enum": [ + "raise", + "do_nothing" + ], "title": "If Exists", "description": "How to handle duplicate creation. Must be either 'raise' (raise error if duplicate), or 'do_nothing' (return existing thread).", "default": "raise" @@ -3560,7 +4369,9 @@ "properties": { "strategy": { "type": "string", - "enum": ["delete"], + "enum": [ + "delete" + ], "description": "The TTL strategy. 'delete' removes the entire thread.", "default": "delete" }, @@ -3582,7 +4393,9 @@ } } }, - "required": ["updates"] + "required": [ + "updates" + ] } } }, @@ -3615,7 +4428,9 @@ "description": "Include subgraph states." } }, - "required": ["checkpoint"], + "required": [ + "checkpoint" + ], "type": "object", "title": "ThreadStateCheckpointRequest", "description": "Payload for getting the state of a thread at a checkpoint." @@ -3624,13 +4439,22 @@ "properties": { "values": { "anyOf": [ - { "items": { "type": "object" }, "type": "array" }, - { "type": "object" } + { + "items": { + "type": "object" + }, + "type": "array" + }, + { + "type": "object" + } ], "title": "Values" }, "next": { - "items": { "type": "string" }, + "items": { + "type": "string" + }, "type": "array", "title": "Next" }, @@ -3638,17 +4462,34 @@ "items": { "type": "object", "properties": { - "id": { "type": "string", "title": "Task Id" }, - "name": { "type": "string", "title": "Node Name" }, - "error": { "type": "string", "title": "Error" }, - "interrupts": { "type": "array", "items": {} }, + "id": { + "type": "string", + "title": "Task Id" + }, + "name": { + "type": "string", + "title": "Node Name" + }, + "error": { + "type": "string", + "title": "Error" + }, + "interrupts": { + "type": "array", + "items": {} + }, "checkpoint": { "$ref": "#/components/schemas/CheckpointConfig", "title": "Checkpoint" }, - "state": { "$ref": "#/components/schemas/ThreadState" } + "state": { + "$ref": "#/components/schemas/ThreadState" + } }, - "required": ["id", "name"] + "required": [ + "id", + "name" + ] }, "type": "array", "title": "Tasks" @@ -3657,15 +4498,27 @@ "$ref": "#/components/schemas/CheckpointConfig", "title": "Checkpoint" }, - "metadata": { "type": "object", "title": "Metadata" }, - "created_at": { "type": "string", "title": "Created At" }, + "metadata": { + "type": "object", + "title": "Metadata" + }, + "created_at": { + "type": "string", + "title": "Created At" + }, "parent_checkpoint": { "type": "object", "title": "Parent Checkpoint" } }, "type": "object", - "required": ["values", "next", "checkpoint", "metadata", "created_at"], + "required": [ + "values", + "next", + "checkpoint", + "metadata", + "created_at" + ], "title": "ThreadState" }, "ThreadStateSearch": { @@ -3701,9 +4554,16 @@ "properties": { "values": { "anyOf": [ - { "items": { "type": "object" }, "type": "array" }, - { "type": "object" }, - { "type": "null" } + { + "items": {}, + "type": "array" + }, + { + "type": "object" + }, + { + "type": "null" + } ], "title": "Values", "description": "The values to update the state with." @@ -3727,15 +4587,28 @@ "properties": { "values": { "anyOf": [ - { "type": "array", "items": { "type": "object" } }, - { "type": "object" }, - { "type": "null" } + { + "type": "array", + "items": { + "type": "object" + } + }, + { + "type": "object" + }, + { + "type": "null" + } ] }, "command": { "anyOf": [ - { "$ref": "#/components/schemas/Command" }, - { "type": "null" } + { + "$ref": "#/components/schemas/Command" + }, + { + "type": "null" + } ], "description": "The command associated with the update." }, @@ -3744,12 +4617,17 @@ "description": "Update the state as if this node had just executed." } }, - "required": ["as_node"], + "required": [ + "as_node" + ], "type": "object" }, "ThreadStateUpdateResponse": { "properties": { - "checkpoint": { "type": "object", "title": "Checkpoint" } + "checkpoint": { + "type": "object", + "title": "Checkpoint" + } }, "type": "object", "title": "ThreadStateUpdateResponse", @@ -3780,11 +4658,17 @@ }, "StorePutRequest": { "type": "object", - "required": ["namespace", "key", "value"], + "required": [ + "namespace", + "key", + "value" + ], "properties": { "namespace": { "type": "array", - "items": { "type": "string" }, + "items": { + "type": "string" + }, "title": "Namespace", "description": "A list of strings representing the namespace path." }, @@ -3804,11 +4688,15 @@ }, "StoreDeleteRequest": { "type": "object", - "required": ["key"], + "required": [ + "key" + ], "properties": { "namespace": { "type": "array", - "items": { "type": "string" }, + "items": { + "type": "string" + }, "title": "Namespace", "description": "A list of strings representing the namespace path." }, @@ -3825,25 +4713,25 @@ "type": "object", "properties": { "namespace_prefix": { - "type": ["array", "null"], - "items": { "type": "string" }, + "type": [ + "array", + "null" + ], + "items": { + "type": "string" + }, "title": "Namespace Prefix", "description": "List of strings representing the namespace prefix." }, "filter": { - "type": ["object", "null"], + "type": [ + "object", + "null" + ], "additionalProperties": true, "title": "Filter", "description": "Optional dictionary of key-value pairs to filter results." }, - "query": { - "type": [ - "string", - "null" - ], - "title": "Query", - "description": "Query string for semantic/vector search." - }, "limit": { "type": "integer", "default": 10, @@ -3855,6 +4743,14 @@ "default": 0, "title": "Offset", "description": "Number of items to skip before returning results (default is 0)." + }, + "query": { + "type": [ + "string", + "null" + ], + "title": "Query", + "description": "Query string for semantic/vector search." } }, "title": "StoreSearchRequest", @@ -3865,13 +4761,17 @@ "properties": { "prefix": { "type": "array", - "items": { "type": "string" }, + "items": { + "type": "string" + }, "title": "Prefix", "description": "Optional list of strings representing the prefix to filter namespaces." }, "suffix": { "type": "array", - "items": { "type": "string" }, + "items": { + "type": "string" + }, "title": "Suffix", "description": "Optional list of strings representing the suffix to filter namespaces." }, @@ -3896,11 +4796,19 @@ }, "Item": { "type": "object", - "required": ["namespace", "key", "value", "created_at", "updated_at"], + "required": [ + "namespace", + "key", + "value", + "created_at", + "updated_at" + ], "properties": { "namespace": { "type": "array", - "items": { "type": "string" }, + "items": { + "type": "string" + }, "description": "The namespace of the item. A namespace is analogous to a document's directory." }, "key": { @@ -3931,7 +4839,11 @@ "properties": { "status": { "type": "string", - "enum": ["pending", "running", "all"], + "enum": [ + "pending", + "running", + "all" + ], "title": "Status", "description": "Filter runs by status to cancel. Must be one of 'pending', 'running', or 'all'." }, @@ -3943,29 +4855,50 @@ }, "run_ids": { "type": "array", - "items": { "type": "string", "format": "uuid" }, + "items": { + "type": "string", + "format": "uuid" + }, "title": "Run Ids", "description": "List of run IDs to cancel." } }, "oneOf": [ - { "required": ["status"] }, - { "required": ["thread_id", "run_ids"] } + { + "required": [ + "status" + ] + }, + { + "required": [ + "thread_id", + "run_ids" + ] + } ] }, "SearchItemsResponse": { "type": "object", - "required": ["items"], + "required": [ + "items" + ], "properties": { "items": { "type": "array", - "items": { "$ref": "#/components/schemas/Item" } + "items": { + "$ref": "#/components/schemas/Item" + } } } }, "ListNamespaceResponse": { "type": "array", - "items": { "type": "array", "items": { "type": "string" } } + "items": { + "type": "array", + "items": { + "type": "string" + } + } }, "ErrorResponse": { "type": "string", @@ -3978,7 +4911,9 @@ "description": "Successful retrieval of an item.", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/Item" } + "schema": { + "$ref": "#/components/schemas/Item" + } } } }, @@ -3994,7 +4929,9 @@ "description": "Successful search operation.", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/SearchItemsResponse" } + "schema": { + "$ref": "#/components/schemas/SearchItemsResponse" + } } } }, @@ -4002,7 +4939,9 @@ "description": "Successful retrieval of namespaces.", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ListNamespaceResponse" } + "schema": { + "$ref": "#/components/schemas/ListNamespaceResponse" + } } } }, @@ -4010,7 +4949,9 @@ "description": "An error occurred.", "content": { "application/json": { - "schema": { "$ref": "#/components/schemas/ErrorResponse" } + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } } } } diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml index 487662a16..34a352fb0 100644 --- a/docs/mkdocs.yml +++ b/docs/mkdocs.yml @@ -215,6 +215,7 @@ nav: - how-tos/http/custom_middleware.md - how-tos/http/custom_routes.md - Data management: + - cloud/concepts/data_storage_and_privacy.md - Add semantic search: cloud/deployment/semantic_search.md - Add TTLs: how-tos/ttl/configure_ttl.md - Deployment: diff --git a/libs/checkpoint-postgres/pyproject.toml b/libs/checkpoint-postgres/pyproject.toml index 0442cfcd5..15e7b9aed 100644 --- a/libs/checkpoint-postgres/pyproject.toml +++ b/libs/checkpoint-postgres/pyproject.toml @@ -12,7 +12,7 @@ readme = "README.md" license = "MIT" license-files = ['LICENSE'] dependencies = [ - "langgraph-checkpoint>=2.0.21", + "langgraph-checkpoint>=2.0.21,<3.0.0", "orjson>=3.10.1", "psycopg>=3.2.0", "psycopg-pool>=3.2.0", diff --git a/libs/checkpoint-sqlite/pyproject.toml b/libs/checkpoint-sqlite/pyproject.toml index 7f378d892..d9907153a 100644 --- a/libs/checkpoint-sqlite/pyproject.toml +++ b/libs/checkpoint-sqlite/pyproject.toml @@ -12,7 +12,7 @@ readme = "README.md" license = "MIT" license-files = ['LICENSE'] dependencies = [ - "langgraph-checkpoint>=2.0.21", + "langgraph-checkpoint>=2.0.21,<3.0.0", "aiosqlite>=0.20", "sqlite-vec>=0.1.6", ] diff --git a/libs/cli/examples/graphs/storm.py b/libs/cli/examples/graphs/storm.py index 184ed04ef..147f0fdac 100644 --- a/libs/cli/examples/graphs/storm.py +++ b/libs/cli/examples/graphs/storm.py @@ -285,7 +285,7 @@ class AnswerWithCitations(BaseModel): @property def as_str(self) -> str: return f"{self.answer}\n\nCitations:\n\n" + "\n".join( - f"[{i+1}]: {url}" for i, url in enumerate(self.cited_urls) + f"[{i + 1}]: {url}" for i, url in enumerate(self.cited_urls) ) @@ -553,7 +553,7 @@ async def conduct_interviews(state: ResearchState): def format_conversation(interview_state): messages = interview_state["messages"] convo = "\n".join(f"{m.name}: {m.content}" for m in messages) - return f'Conversation with {interview_state["editor"].name}\n\n' + convo + return f"Conversation with {interview_state['editor'].name}\n\n" + convo async def refine_outline(state: ResearchState): diff --git a/libs/cli/langgraph_cli/config.py b/libs/cli/langgraph_cli/config.py index ece457aad..cd0356350 100644 --- a/libs/cli/langgraph_cli/config.py +++ b/libs/cli/langgraph_cli/config.py @@ -602,8 +602,7 @@ def validate_config(config: Config) -> Config: if not config["graphs"]: raise click.UsageError( - "No graphs found in config. " - "Add at least one graph to 'graphs' dictionary." + "No graphs found in config. Add at least one graph to 'graphs' dictionary." ) # Validate image_distro config @@ -1181,7 +1180,7 @@ def python_config_to_docker( ) for reqpath, destpath in local_deps.pip_reqs ) - pip_reqs_str += f'{os.linesep}RUN {pip_install} {" ".join("-r " + r for _,r in local_deps.pip_reqs)}' + pip_reqs_str += f"{os.linesep}RUN {pip_install} {' '.join('-r ' + r for _, r in local_deps.pip_reqs)}" pip_reqs_str = f"""# -- Installing local requirements -- {pip_reqs_str} # -- End of local requirements install --""" diff --git a/libs/cli/langgraph_cli/templates.py b/libs/cli/langgraph_cli/templates.py index cd336e255..4ea915228 100644 --- a/libs/cli/langgraph_cli/templates.py +++ b/libs/cli/langgraph_cli/templates.py @@ -123,7 +123,7 @@ def _download_repo_with_requests(repo_url: str, path: str) -> None: ) except error.HTTPError as e: click.secho( - f"❌ Error: Failed to download repository.\n" f"Details: {e}\n", + f"❌ Error: Failed to download repository.\nDetails: {e}\n", fg="red", bold=True, err=True, diff --git a/libs/cli/pyproject.toml b/libs/cli/pyproject.toml index 839f714bd..fb2345bae 100644 --- a/libs/cli/pyproject.toml +++ b/libs/cli/pyproject.toml @@ -18,8 +18,8 @@ dependencies = [ [project.optional-dependencies] inmem = [ - "langgraph-api>=0.2.67 ; python_version >= '3.11'", - "langgraph-runtime-inmem>=0.3.4 ; python_version >= '3.11'", + "langgraph-api>=0.2.67,<0.3.0 ; python_version >= '3.11'", + "langgraph-runtime-inmem>=0.3.4,<0.4.0 ; python_version >= '3.11'", "python-dotenv>=0.8.0", ] diff --git a/libs/cli/tests/unit_tests/cli/test_cli.py b/libs/cli/tests/unit_tests/cli/test_cli.py index d07d6f7a8..268f44e00 100644 --- a/libs/cli/tests/unit_tests/cli/test_cli.py +++ b/libs/cli/tests/unit_tests/cli/test_cli.py @@ -280,9 +280,9 @@ def test_version_option() -> None: assert result.exit_code == 0, "Expected exit code 0 for --version option" # Check that the output contains the correct version information - assert ( - "LangGraph CLI, version" in result.output - ), "Expected version information in output" + assert "LangGraph CLI, version" in result.output, ( + "Expected version information in output" + ) def test_dockerfile_command_basic() -> None: @@ -570,6 +570,6 @@ def test_build_generate_proper_build_context(): build_context_pattern = re.compile(r"--build-context\s+(\w+)=([^\s]+)") build_contexts = re.findall(build_context_pattern, result.output) - assert ( - len(build_contexts) == 2 - ), f"Expected 2 build contexts, but found {len(build_contexts)}" + assert len(build_contexts) == 2, ( + f"Expected 2 build contexts, but found {len(build_contexts)}" + ) diff --git a/libs/cli/tests/unit_tests/cli/test_templates.py b/libs/cli/tests/unit_tests/cli/test_templates.py index acd7651d0..cbdf4bbe1 100644 --- a/libs/cli/tests/unit_tests/cli/test_templates.py +++ b/libs/cli/tests/unit_tests/cli/test_templates.py @@ -42,18 +42,18 @@ def test_create_new_with_mocked_download(mock_urlopen: MagicMock) -> None: # Verify CLI command execution and success assert result.exit_code == 0, result.output - assert ( - "New project created" in result.output - ), "Expected success message in output." + assert "New project created" in result.output, ( + "Expected success message in output." + ) # Verify that the directory is not empty assert os.listdir(temp_dir), "Expected files to be created in temp directory." # Check for a known file in the extracted content extracted_files = [f.name for f in Path(temp_dir).glob("*")] - assert ( - "test-file.txt" in extracted_files - ), "Expected 'test-file.txt' in the extracted content." + assert "test-file.txt" in extracted_files, ( + "Expected 'test-file.txt' in the extracted content." + ) def test_invalid_template_id() -> None: @@ -65,6 +65,6 @@ def test_invalid_template_id() -> None: # Verify the command failed and proper message is displayed assert result.exit_code != 0, "Expected non-zero exit code for invalid template." - assert ( - "Template 'invalid-template-id' not found" in result.output - ), "Expected error message in output." + assert "Template 'invalid-template-id' not found" in result.output, ( + "Expected error message in output." + ) diff --git a/libs/cli/uv.lock b/libs/cli/uv.lock index bf7ad385f..b52c20443 100644 --- a/libs/cli/uv.lock +++ b/libs/cli/uv.lock @@ -2,10 +2,9 @@ version = 1 revision = 2 requires-python = ">=3.9" resolution-markers = [ - "python_full_version >= '3.12.4' and python_full_version < '4.0'", - "python_full_version >= '3.11' and python_full_version < '3.12.4'", - "python_full_version >= '4.0'", - "python_full_version < '3.11'", + "python_full_version >= '3.11'", + "python_full_version == '3.10.*'", + "python_full_version < '3.10'", ] [[package]] @@ -45,11 +44,11 @@ wheels = [ [[package]] name = "certifi" -version = "2025.4.26" +version = "2025.6.15" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/e8/9e/c05b3920a3b7d20d3d3310465f50348e5b3694f4f88c6daf736eef3024c4/certifi-2025.4.26.tar.gz", hash 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] [[package]] diff --git a/libs/langgraph/langgraph/_internal/_fields.py b/libs/langgraph/langgraph/_internal/_fields.py index 33a8f2951..5b9c8dca6 100644 --- a/libs/langgraph/langgraph/_internal/_fields.py +++ b/libs/langgraph/langgraph/_internal/_fields.py @@ -128,8 +128,8 @@ def get_enhanced_type_hints( # Pydantic models try: - if hasattr(type, "__fields__") and name in type.__fields__: - field = type.__fields__[name] + if hasattr(type, "model_fields") and name in type.model_fields: + field = type.model_fields[name] if hasattr(field, "description") and field.description is not None: description = field.description @@ -163,7 +163,7 @@ def get_update_as_tuples(input: Any, keys: Sequence[str]) -> list[tuple[str, Any """Get Pydantic state update as a list of (key, value) tuples.""" if isinstance(input, BaseModel): keep = input.model_fields_set - defaults = {k: v.default for k, v in input.model_fields.items()} + defaults = {k: v.default for k, v in type(input).model_fields.items()} else: keep = None defaults = {} diff --git a/libs/langgraph/langgraph/graph/state.py b/libs/langgraph/langgraph/graph/state.py index 6ad7dce00..8a094c6c4 100644 --- a/libs/langgraph/langgraph/graph/state.py +++ b/libs/langgraph/langgraph/graph/state.py @@ -23,8 +23,8 @@ from typing import ( ) from langchain_core.runnables import Runnable, RunnableConfig -from pydantic import BaseModel -from typing_extensions import Self, Unpack +from pydantic import BaseModel, TypeAdapter +from typing_extensions import Self, Unpack, is_typeddict from langgraph._internal._fields import ( get_cached_annotated_keys, @@ -831,18 +831,20 @@ class CompiledStateGraph( self.builder = builder self.schema_to_mapper = schema_to_mapper - def get_input_schema(self, config: RunnableConfig | None = None) -> type[BaseModel]: - return _get_schema( + def get_input_jsonschema( + self, config: RunnableConfig | None = None + ) -> dict[str, Any]: + return _get_json_schema( typ=self.builder.input_schema, schemas=self.builder.schemas, channels=self.builder.channels, name=self.get_name("Input"), ) - def get_output_schema( + def get_output_jsonschema( self, config: RunnableConfig | None = None - ) -> type[BaseModel]: - return _get_schema( + ) -> dict[str, Any]: + return _get_json_schema( typ=self.builder.output_schema, schemas=self.builder.schemas, channels=self.builder.channels, @@ -1309,21 +1311,23 @@ def _is_field_managed_value(name: str, typ: type[Any]) -> ManagedValueSpec | Non return None -def _get_schema( +def _get_json_schema( typ: type, schemas: dict, channels: dict, name: str, -) -> type[BaseModel]: +) -> dict[str, Any]: if isclass(typ) and issubclass(typ, BaseModel): - return typ + return typ.model_json_schema() + elif is_typeddict(typ): + return TypeAdapter(typ).json_schema() else: keys = list(schemas[typ].keys()) if len(keys) == 1 and keys[0] == "__root__": return create_model( name, root=(channels[keys[0]].UpdateType, None), - ) + ).model_json_schema() else: return create_model( name, @@ -1341,4 +1345,4 @@ def _get_schema( for k in schemas[typ] if k in channels and isinstance(channels[k], BaseChannel) }, - ) + ).model_json_schema() diff --git a/libs/langgraph/langgraph/pregel/main.py b/libs/langgraph/langgraph/pregel/main.py index eded49e24..539f0aedd 100644 --- a/libs/langgraph/langgraph/pregel/main.py +++ b/libs/langgraph/langgraph/pregel/main.py @@ -775,10 +775,7 @@ class Pregel(PregelProtocol[StateT, InputT, OutputT], Generic[StateT, InputT, Ou self, *, include: Sequence[str] | None = None ) -> dict[str, Any]: schema = self.config_schema(include=include) - if hasattr(schema, "model_json_schema"): - return schema.model_json_schema() - else: - return schema.schema() + return schema.model_json_schema() @property def InputType(self) -> Any: @@ -805,10 +802,7 @@ class Pregel(PregelProtocol[StateT, InputT, OutputT], Generic[StateT, InputT, Ou self, config: RunnableConfig | None = None ) -> dict[str, Any]: schema = self.get_input_schema(config) - if hasattr(schema, "model_json_schema"): - return schema.model_json_schema() - else: - return schema.schema() + return schema.model_json_schema() @property def OutputType(self) -> Any: @@ -837,10 +831,7 @@ class Pregel(PregelProtocol[StateT, InputT, OutputT], Generic[StateT, InputT, Ou self, config: RunnableConfig | None = None ) -> dict[str, Any]: schema = self.get_output_schema(config) - if hasattr(schema, "model_json_schema"): - return schema.model_json_schema() - else: - return schema.schema() + return schema.model_json_schema() @property def stream_channels_list(self) -> Sequence[str]: diff --git a/libs/langgraph/pyproject.toml b/libs/langgraph/pyproject.toml index b04d64a36..1d5518052 100644 --- a/libs/langgraph/pyproject.toml +++ b/libs/langgraph/pyproject.toml @@ -13,9 +13,9 @@ license = "MIT" license-files = ['LICENSE'] dependencies = [ "langchain-core>=0.1", - "langgraph-checkpoint>=2.1.0", - "langgraph-sdk>=0.1.42", - "langgraph-prebuilt>=0.5.0", + "langgraph-checkpoint>=2.1.0,<3.0.0", + "langgraph-sdk>=0.1.42,<0.2.0", + "langgraph-prebuilt>=0.5.0,<0.6.0", "xxhash>=3.5.0", "pydantic>=2.7.4", ] diff --git a/libs/langgraph/tests/__snapshots__/test_large_cases.ambr b/libs/langgraph/tests/__snapshots__/test_large_cases.ambr index 2a6c8dd25..6d4d8c2e6 100644 --- a/libs/langgraph/tests/__snapshots__/test_large_cases.ambr +++ b/libs/langgraph/tests/__snapshots__/test_large_cases.ambr @@ -1,9 +1,9 @@ # serializer version: 1 # name: test_conditional_state_graph[memory] - '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "enum": ["AgentAction"], "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "enum": ["AgentFinish"], "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"default": null, "title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "default": null, "title": "Agent Outcome"}, "intermediate_steps": {"default": null, "items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "title": "LangGraphInput", "type": "object"}' + '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"additionalProperties": true, "title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "title": "Agent Outcome"}, "intermediate_steps": {"items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "title": "AgentState", "type": "object"}' # --- # name: test_conditional_state_graph[memory].1 - '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "enum": ["AgentAction"], "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "enum": ["AgentFinish"], "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"default": null, "title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "default": null, "title": "Agent Outcome"}, "intermediate_steps": {"default": null, "items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "title": "LangGraphOutput", "type": "object"}' + '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"additionalProperties": true, "title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "title": "Agent Outcome"}, "intermediate_steps": {"items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "title": "AgentState", "type": "object"}' # --- # name: test_conditional_state_graph[memory].2 ''' @@ -88,10 +88,10 @@ ''' # --- # name: test_message_graph[memory] - '{"$defs": {"AIMessage": {"additionalProperties": true, "description": "Message from an AI.\\n\\nAIMessage is returned from a chat model as a response to a prompt.\\n\\nThis message represents the output of the model and consists of both\\nthe raw output as returned by the model together standardized fields\\n(e.g., tool calls, usage metadata) added by the LangChain framework.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ai", "default": "ai", "enum": ["ai"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}}, "required": ["content"], "title": "AIMessage", "type": "object"}, "AIMessageChunk": {"additionalProperties": true, "description": "Message chunk from an AI.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "AIMessageChunk", "default": "AIMessageChunk", "enum": ["AIMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}, "tool_call_chunks": {"default": [], "items": {"$ref": "#/$defs/ToolCallChunk"}, "title": "Tool Call Chunks", "type": "array"}}, "required": ["content"], "title": "AIMessageChunk", "type": "object"}, "ChatMessage": {"additionalProperties": true, "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "chat", "default": "chat", "enum": ["chat"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessage", "type": "object"}, "ChatMessageChunk": {"additionalProperties": true, "description": "Chat Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ChatMessageChunk", "default": "ChatMessageChunk", "enum": ["ChatMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessageChunk", "type": "object"}, "FunctionMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nFunctionMessage are an older version of the ToolMessage schema, and\\ndo not contain the tool_call_id field.\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "function", "default": "function", "enum": ["function"], "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessage", "type": "object"}, "FunctionMessageChunk": {"additionalProperties": true, "description": "Function Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "FunctionMessageChunk", "default": "FunctionMessageChunk", "enum": ["FunctionMessageChunk"], "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessageChunk", "type": "object"}, "HumanMessage": {"additionalProperties": true, "description": "Message from a human.\\n\\nHumanMessages are messages that are passed in from a human to the model.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Instantiate a chat model and invoke it with the messages\\n model = ...\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "human", "default": "human", "enum": ["human"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessage", "type": "object"}, "HumanMessageChunk": {"additionalProperties": true, "description": "Human Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "HumanMessageChunk", "default": "HumanMessageChunk", "enum": ["HumanMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessageChunk", "type": "object"}, "InputTokenDetails": {"description": "Breakdown of input token counts.\\n\\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n }\\n\\n.. versionadded:: 0.3.9\\n\\nMay also hold extra provider-specific keys.", "properties": {"audio": {"title": "Audio", "type": "integer"}, "cache_creation": {"title": "Cache Creation", "type": "integer"}, "cache_read": {"title": "Cache Read", "type": "integer"}}, "title": "InputTokenDetails", "type": "object"}, "InvalidToolCall": {"description": "Allowance for errors made by LLM.\\n\\nHere we add an `error` key to surface errors made during generation\\n(e.g., invalid JSON arguments.)", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "error": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Error"}, "type": {"const": "invalid_tool_call", "enum": ["invalid_tool_call"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "error"], "title": "InvalidToolCall", "type": "object"}, "OutputTokenDetails": {"description": "Breakdown of output token counts.\\n\\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "reasoning": {"title": "Reasoning", "type": "integer"}}, "title": "OutputTokenDetails", "type": "object"}, "SystemMessage": {"additionalProperties": true, "description": "Message for priming AI behavior.\\n\\nThe system message is usually passed in as the first of a sequence\\nof input messages.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Define a chat model and invoke it with the messages\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "system", "default": "system", "enum": ["system"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessage", "type": "object"}, "SystemMessageChunk": {"additionalProperties": true, "description": "System Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "SystemMessageChunk", "default": "SystemMessageChunk", "enum": ["SystemMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessageChunk", "type": "object"}, "ToolCall": {"description": "Represents a request to call a tool.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"name\\": \\"foo\\",\\n \\"args\\": {\\"a\\": 1},\\n \\"id\\": \\"123\\"\\n }\\n\\n This represents a request to call the tool named \\"foo\\" with arguments {\\"a\\": 1}\\n and an identifier of \\"123\\".", "properties": {"name": {"title": "Name", "type": "string"}, "args": {"title": "Args", "type": "object"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "type": {"const": "tool_call", "enum": ["tool_call"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id"], "title": "ToolCall", "type": "object"}, "ToolCallChunk": {"description": "A chunk of a tool call (e.g., as part of a stream).\\n\\nWhen merging ToolCallChunks (e.g., via AIMessageChunk.__add__),\\nall string attributes are concatenated. Chunks are only merged if their\\nvalues of `index` are equal and not None.\\n\\nExample:\\n\\n.. code-block:: python\\n\\n left_chunks = [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":\', index=0)]\\n right_chunks = [ToolCallChunk(name=None, args=\'1}\', index=0)]\\n\\n (\\n AIMessageChunk(content=\\"\\", tool_call_chunks=left_chunks)\\n + AIMessageChunk(content=\\"\\", tool_call_chunks=right_chunks)\\n ).tool_call_chunks == [ToolCallChunk(name=\'foo\', args=\'{\\"a\\":1}\', index=0)]", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "index": {"anyOf": [{"type": "integer"}, {"type": "null"}], "title": "Index"}, "type": {"const": "tool_call_chunk", "enum": ["tool_call_chunk"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "index"], "title": "ToolCallChunk", "type": "object"}, "ToolMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nToolMessages contain the result of a tool invocation. Typically, the result\\nis encoded inside the `content` field.\\n\\nExample: A ToolMessage representing a result of 42 from a tool call with id\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n ToolMessage(content=\'42\', tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\')\\n\\n\\nExample: A ToolMessage where only part of the tool output is sent to the model\\n and the full output is passed in to artifact.\\n\\n .. versionadded:: 0.2.17\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n tool_output = {\\n \\"stdout\\": \\"From the graph we can see that the correlation between x and y is ...\\",\\n \\"stderr\\": None,\\n \\"artifacts\\": {\\"type\\": \\"image\\", \\"base64_data\\": \\"/9j/4gIcSU...\\"},\\n }\\n\\n ToolMessage(\\n content=tool_output[\\"stdout\\"],\\n artifact=tool_output,\\n tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\',\\n )\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "tool", "default": "tool", "enum": ["tool"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessage", "type": "object"}, "ToolMessageChunk": {"additionalProperties": true, "description": "Tool Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ToolMessageChunk", "default": "ToolMessageChunk", "enum": ["ToolMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessageChunk", "type": "object"}, "UsageMetadata": {"description": "Usage metadata for a message, such as token counts.\\n\\nThis is a standard representation of token usage that is consistent across models.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"input_tokens\\": 350,\\n \\"output_tokens\\": 240,\\n \\"total_tokens\\": 590,\\n \\"input_token_details\\": {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n },\\n \\"output_token_details\\": {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n }\\n\\n.. versionchanged:: 0.3.9\\n\\n Added ``input_token_details`` and ``output_token_details``.", "properties": {"input_tokens": {"title": "Input Tokens", "type": "integer"}, "output_tokens": {"title": "Output Tokens", "type": "integer"}, "total_tokens": {"title": "Total Tokens", "type": "integer"}, "input_token_details": {"$ref": "#/$defs/InputTokenDetails"}, "output_token_details": {"$ref": "#/$defs/OutputTokenDetails"}}, "required": ["input_tokens", "output_tokens", "total_tokens"], "title": "UsageMetadata", "type": "object"}}, "default": null, "items": {"oneOf": [{"$ref": "#/$defs/AIMessage"}, {"$ref": "#/$defs/HumanMessage"}, {"$ref": "#/$defs/ChatMessage"}, {"$ref": "#/$defs/SystemMessage"}, {"$ref": "#/$defs/FunctionMessage"}, {"$ref": "#/$defs/ToolMessage"}, {"$ref": "#/$defs/AIMessageChunk"}, {"$ref": "#/$defs/HumanMessageChunk"}, {"$ref": "#/$defs/ChatMessageChunk"}, {"$ref": "#/$defs/SystemMessageChunk"}, {"$ref": "#/$defs/FunctionMessageChunk"}, {"$ref": "#/$defs/ToolMessageChunk"}]}, "title": "LangGraphInput", "type": "array"}' + '{"$defs": {"AIMessage": {"additionalProperties": true, "description": "Message from an AI.\\n\\nAIMessage is returned from a chat model as a response to a prompt.\\n\\nThis message represents the output of the model and consists of both\\nthe raw output as returned by the model together standardized fields\\n(e.g., tool calls, usage metadata) added by the LangChain framework.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ai", "default": "ai", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}}, "required": ["content"], "title": "AIMessage", "type": "object"}, "AIMessageChunk": {"additionalProperties": true, "description": "Message chunk from an AI.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "AIMessageChunk", "default": "AIMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}, "tool_call_chunks": {"default": [], "items": {"$ref": "#/$defs/ToolCallChunk"}, "title": "Tool Call Chunks", "type": "array"}}, "required": ["content"], "title": "AIMessageChunk", "type": "object"}, "ChatMessage": {"additionalProperties": true, "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "chat", "default": "chat", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessage", "type": "object"}, "ChatMessageChunk": {"additionalProperties": true, "description": "Chat Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ChatMessageChunk", "default": "ChatMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessageChunk", "type": "object"}, "FunctionMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nFunctionMessage are an older version of the ToolMessage schema, and\\ndo not contain the tool_call_id field.\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "function", "default": "function", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessage", "type": "object"}, "FunctionMessageChunk": {"additionalProperties": true, "description": "Function Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "FunctionMessageChunk", "default": "FunctionMessageChunk", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessageChunk", "type": "object"}, "HumanMessage": {"additionalProperties": true, "description": "Message from a human.\\n\\nHumanMessages are messages that are passed in from a human to the model.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Instantiate a chat model and invoke it with the messages\\n model = ...\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "human", "default": "human", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessage", "type": "object"}, "HumanMessageChunk": {"additionalProperties": true, "description": "Human Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "HumanMessageChunk", "default": "HumanMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessageChunk", "type": "object"}, "InputTokenDetails": {"description": "Breakdown of input token counts.\\n\\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n }\\n\\n.. versionadded:: 0.3.9\\n\\nMay also hold extra provider-specific keys.", "properties": {"audio": {"title": "Audio", "type": "integer"}, "cache_creation": {"title": "Cache Creation", "type": "integer"}, "cache_read": {"title": "Cache Read", "type": "integer"}}, "title": "InputTokenDetails", "type": "object"}, "InvalidToolCall": {"description": "Allowance for errors made by LLM.\\n\\nHere we add an `error` key to surface errors made during generation\\n(e.g., invalid JSON arguments.)", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "error": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Error"}, "type": {"const": "invalid_tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "error"], "title": "InvalidToolCall", "type": "object"}, "OutputTokenDetails": {"description": "Breakdown of output token counts.\\n\\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "reasoning": {"title": "Reasoning", "type": "integer"}}, "title": "OutputTokenDetails", "type": "object"}, "SystemMessage": {"additionalProperties": true, "description": "Message for priming AI behavior.\\n\\nThe system message is usually passed in as the first of a sequence\\nof input messages.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Define a chat model and invoke it with the messages\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "system", "default": "system", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessage", "type": "object"}, "SystemMessageChunk": {"additionalProperties": true, "description": "System Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "SystemMessageChunk", "default": "SystemMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessageChunk", "type": "object"}, "ToolCall": {"description": "Represents a request to call a tool.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"name\\": \\"foo\\",\\n \\"args\\": {\\"a\\": 1},\\n \\"id\\": \\"123\\"\\n }\\n\\n This represents a request to call the tool named \\"foo\\" with arguments {\\"a\\": 1}\\n and an identifier of \\"123\\".", "properties": {"name": {"title": "Name", "type": "string"}, "args": {"additionalProperties": true, "title": "Args", "type": "object"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "type": {"const": "tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id"], "title": "ToolCall", "type": "object"}, "ToolCallChunk": {"description": "A chunk of a tool call (e.g., as part of a stream).\\n\\nWhen merging ToolCallChunks (e.g., via AIMessageChunk.__add__),\\nall string attributes are concatenated. Chunks are only merged if their\\nvalues of `index` are equal and not None.\\n\\nExample:\\n\\n.. code-block:: python\\n\\n left_chunks = [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":\', index=0)]\\n right_chunks = [ToolCallChunk(name=None, args=\'1}\', index=0)]\\n\\n (\\n AIMessageChunk(content=\\"\\", tool_call_chunks=left_chunks)\\n + AIMessageChunk(content=\\"\\", tool_call_chunks=right_chunks)\\n ).tool_call_chunks == [ToolCallChunk(name=\'foo\', args=\'{\\"a\\":1}\', index=0)]", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "index": {"anyOf": [{"type": "integer"}, {"type": "null"}], "title": "Index"}, "type": {"const": "tool_call_chunk", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "index"], "title": "ToolCallChunk", "type": "object"}, "ToolMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nToolMessages contain the result of a tool invocation. Typically, the result\\nis encoded inside the `content` field.\\n\\nExample: A ToolMessage representing a result of 42 from a tool call with id\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n ToolMessage(content=\'42\', tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\')\\n\\n\\nExample: A ToolMessage where only part of the tool output is sent to the model\\n and the full output is passed in to artifact.\\n\\n .. versionadded:: 0.2.17\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n tool_output = {\\n \\"stdout\\": \\"From the graph we can see that the correlation between x and y is ...\\",\\n \\"stderr\\": None,\\n \\"artifacts\\": {\\"type\\": \\"image\\", \\"base64_data\\": \\"/9j/4gIcSU...\\"},\\n }\\n\\n ToolMessage(\\n content=tool_output[\\"stdout\\"],\\n artifact=tool_output,\\n tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\',\\n )\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "tool", "default": "tool", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessage", "type": "object"}, "ToolMessageChunk": {"additionalProperties": true, "description": "Tool Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ToolMessageChunk", "default": "ToolMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessageChunk", "type": "object"}, "UsageMetadata": {"description": "Usage metadata for a message, such as token counts.\\n\\nThis is a standard representation of token usage that is consistent across models.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"input_tokens\\": 350,\\n \\"output_tokens\\": 240,\\n \\"total_tokens\\": 590,\\n \\"input_token_details\\": {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n },\\n \\"output_token_details\\": {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n }\\n\\n.. versionchanged:: 0.3.9\\n\\n Added ``input_token_details`` and ``output_token_details``.", "properties": {"input_tokens": {"title": "Input Tokens", "type": "integer"}, "output_tokens": {"title": "Output Tokens", "type": "integer"}, "total_tokens": {"title": "Total Tokens", "type": "integer"}, "input_token_details": {"$ref": "#/$defs/InputTokenDetails"}, "output_token_details": {"$ref": "#/$defs/OutputTokenDetails"}}, "required": ["input_tokens", "output_tokens", "total_tokens"], "title": "UsageMetadata", "type": "object"}}, "default": null, "items": {"oneOf": [{"$ref": "#/$defs/AIMessage"}, {"$ref": "#/$defs/HumanMessage"}, {"$ref": "#/$defs/ChatMessage"}, {"$ref": "#/$defs/SystemMessage"}, {"$ref": "#/$defs/FunctionMessage"}, {"$ref": "#/$defs/ToolMessage"}, {"$ref": "#/$defs/AIMessageChunk"}, {"$ref": "#/$defs/HumanMessageChunk"}, {"$ref": "#/$defs/ChatMessageChunk"}, {"$ref": "#/$defs/SystemMessageChunk"}, {"$ref": "#/$defs/FunctionMessageChunk"}, {"$ref": "#/$defs/ToolMessageChunk"}]}, "title": "LangGraphInput", "type": "array"}' # --- # name: test_message_graph[memory].1 - '{"$defs": {"AIMessage": {"additionalProperties": true, "description": "Message from an AI.\\n\\nAIMessage is returned from a chat model as a response to a prompt.\\n\\nThis message represents the output of the model and consists of both\\nthe raw output as returned by the model together standardized fields\\n(e.g., tool calls, usage metadata) added by the LangChain framework.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ai", "default": "ai", "enum": ["ai"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}}, "required": ["content"], "title": "AIMessage", "type": "object"}, "AIMessageChunk": {"additionalProperties": true, "description": "Message chunk from an AI.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "AIMessageChunk", "default": "AIMessageChunk", "enum": ["AIMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}, "tool_call_chunks": {"default": [], "items": {"$ref": "#/$defs/ToolCallChunk"}, "title": "Tool Call Chunks", "type": "array"}}, "required": ["content"], "title": "AIMessageChunk", "type": "object"}, "ChatMessage": {"additionalProperties": true, "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "chat", "default": "chat", "enum": ["chat"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessage", "type": "object"}, "ChatMessageChunk": {"additionalProperties": true, "description": "Chat Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ChatMessageChunk", "default": "ChatMessageChunk", "enum": ["ChatMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessageChunk", "type": "object"}, "FunctionMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nFunctionMessage are an older version of the ToolMessage schema, and\\ndo not contain the tool_call_id field.\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "function", "default": "function", "enum": ["function"], "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessage", "type": "object"}, "FunctionMessageChunk": {"additionalProperties": true, "description": "Function Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "FunctionMessageChunk", "default": "FunctionMessageChunk", "enum": ["FunctionMessageChunk"], "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessageChunk", "type": "object"}, "HumanMessage": {"additionalProperties": true, "description": "Message from a human.\\n\\nHumanMessages are messages that are passed in from a human to the model.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Instantiate a chat model and invoke it with the messages\\n model = ...\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "human", "default": "human", "enum": ["human"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessage", "type": "object"}, "HumanMessageChunk": {"additionalProperties": true, "description": "Human Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "HumanMessageChunk", "default": "HumanMessageChunk", "enum": ["HumanMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessageChunk", "type": "object"}, "InputTokenDetails": {"description": "Breakdown of input token counts.\\n\\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n }\\n\\n.. versionadded:: 0.3.9\\n\\nMay also hold extra provider-specific keys.", "properties": {"audio": {"title": "Audio", "type": "integer"}, "cache_creation": {"title": "Cache Creation", "type": "integer"}, "cache_read": {"title": "Cache Read", "type": "integer"}}, "title": "InputTokenDetails", "type": "object"}, "InvalidToolCall": {"description": "Allowance for errors made by LLM.\\n\\nHere we add an `error` key to surface errors made during generation\\n(e.g., invalid JSON arguments.)", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "error": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Error"}, "type": {"const": "invalid_tool_call", "enum": ["invalid_tool_call"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "error"], "title": "InvalidToolCall", "type": "object"}, "OutputTokenDetails": {"description": "Breakdown of output token counts.\\n\\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "reasoning": {"title": "Reasoning", "type": "integer"}}, "title": "OutputTokenDetails", "type": "object"}, "SystemMessage": {"additionalProperties": true, "description": "Message for priming AI behavior.\\n\\nThe system message is usually passed in as the first of a sequence\\nof input messages.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Define a chat model and invoke it with the messages\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "system", "default": "system", "enum": ["system"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessage", "type": "object"}, "SystemMessageChunk": {"additionalProperties": true, "description": "System Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "SystemMessageChunk", "default": "SystemMessageChunk", "enum": ["SystemMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessageChunk", "type": "object"}, "ToolCall": {"description": "Represents a request to call a tool.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"name\\": \\"foo\\",\\n \\"args\\": {\\"a\\": 1},\\n \\"id\\": \\"123\\"\\n }\\n\\n This represents a request to call the tool named \\"foo\\" with arguments {\\"a\\": 1}\\n and an identifier of \\"123\\".", "properties": {"name": {"title": "Name", "type": "string"}, "args": {"title": "Args", "type": "object"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "type": {"const": "tool_call", "enum": ["tool_call"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id"], "title": "ToolCall", "type": "object"}, "ToolCallChunk": {"description": "A chunk of a tool call (e.g., as part of a stream).\\n\\nWhen merging ToolCallChunks (e.g., via AIMessageChunk.__add__),\\nall string attributes are concatenated. Chunks are only merged if their\\nvalues of `index` are equal and not None.\\n\\nExample:\\n\\n.. code-block:: python\\n\\n left_chunks = [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":\', index=0)]\\n right_chunks = [ToolCallChunk(name=None, args=\'1}\', index=0)]\\n\\n (\\n AIMessageChunk(content=\\"\\", tool_call_chunks=left_chunks)\\n + AIMessageChunk(content=\\"\\", tool_call_chunks=right_chunks)\\n ).tool_call_chunks == [ToolCallChunk(name=\'foo\', args=\'{\\"a\\":1}\', index=0)]", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "index": {"anyOf": [{"type": "integer"}, {"type": "null"}], "title": "Index"}, "type": {"const": "tool_call_chunk", "enum": ["tool_call_chunk"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "index"], "title": "ToolCallChunk", "type": "object"}, "ToolMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nToolMessages contain the result of a tool invocation. Typically, the result\\nis encoded inside the `content` field.\\n\\nExample: A ToolMessage representing a result of 42 from a tool call with id\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n ToolMessage(content=\'42\', tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\')\\n\\n\\nExample: A ToolMessage where only part of the tool output is sent to the model\\n and the full output is passed in to artifact.\\n\\n .. versionadded:: 0.2.17\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n tool_output = {\\n \\"stdout\\": \\"From the graph we can see that the correlation between x and y is ...\\",\\n \\"stderr\\": None,\\n \\"artifacts\\": {\\"type\\": \\"image\\", \\"base64_data\\": \\"/9j/4gIcSU...\\"},\\n }\\n\\n ToolMessage(\\n content=tool_output[\\"stdout\\"],\\n artifact=tool_output,\\n tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\',\\n )\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "tool", "default": "tool", "enum": ["tool"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessage", "type": "object"}, "ToolMessageChunk": {"additionalProperties": true, "description": "Tool Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ToolMessageChunk", "default": "ToolMessageChunk", "enum": ["ToolMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessageChunk", "type": "object"}, "UsageMetadata": {"description": "Usage metadata for a message, such as token counts.\\n\\nThis is a standard representation of token usage that is consistent across models.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"input_tokens\\": 350,\\n \\"output_tokens\\": 240,\\n \\"total_tokens\\": 590,\\n \\"input_token_details\\": {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n },\\n \\"output_token_details\\": {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n }\\n\\n.. versionchanged:: 0.3.9\\n\\n Added ``input_token_details`` and ``output_token_details``.", "properties": {"input_tokens": {"title": "Input Tokens", "type": "integer"}, "output_tokens": {"title": "Output Tokens", "type": "integer"}, "total_tokens": {"title": "Total Tokens", "type": "integer"}, "input_token_details": {"$ref": "#/$defs/InputTokenDetails"}, "output_token_details": {"$ref": "#/$defs/OutputTokenDetails"}}, "required": ["input_tokens", "output_tokens", "total_tokens"], "title": "UsageMetadata", "type": "object"}}, "default": null, "items": {"oneOf": [{"$ref": "#/$defs/AIMessage"}, {"$ref": "#/$defs/HumanMessage"}, {"$ref": "#/$defs/ChatMessage"}, {"$ref": "#/$defs/SystemMessage"}, {"$ref": "#/$defs/FunctionMessage"}, {"$ref": "#/$defs/ToolMessage"}, {"$ref": "#/$defs/AIMessageChunk"}, {"$ref": "#/$defs/HumanMessageChunk"}, {"$ref": "#/$defs/ChatMessageChunk"}, {"$ref": "#/$defs/SystemMessageChunk"}, {"$ref": "#/$defs/FunctionMessageChunk"}, {"$ref": "#/$defs/ToolMessageChunk"}]}, "title": "LangGraphOutput", "type": "array"}' + '{"$defs": {"AIMessage": {"additionalProperties": true, "description": "Message from an AI.\\n\\nAIMessage is returned from a chat model as a response to a prompt.\\n\\nThis message represents the output of the model and consists of both\\nthe raw output as returned by the model together standardized fields\\n(e.g., tool calls, usage metadata) added by the LangChain framework.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ai", "default": "ai", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}}, "required": ["content"], "title": "AIMessage", "type": "object"}, "AIMessageChunk": {"additionalProperties": true, "description": "Message chunk from an AI.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "AIMessageChunk", "default": "AIMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}, "tool_call_chunks": {"default": [], "items": {"$ref": "#/$defs/ToolCallChunk"}, "title": "Tool Call Chunks", "type": "array"}}, "required": ["content"], "title": "AIMessageChunk", "type": "object"}, "ChatMessage": {"additionalProperties": true, "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "chat", "default": "chat", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessage", "type": "object"}, "ChatMessageChunk": {"additionalProperties": true, "description": "Chat Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ChatMessageChunk", "default": "ChatMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessageChunk", "type": "object"}, "FunctionMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nFunctionMessage are an older version of the ToolMessage schema, and\\ndo not contain the tool_call_id field.\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "function", "default": "function", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessage", "type": "object"}, "FunctionMessageChunk": {"additionalProperties": true, "description": "Function Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "FunctionMessageChunk", "default": "FunctionMessageChunk", "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessageChunk", "type": "object"}, "HumanMessage": {"additionalProperties": true, "description": "Message from a human.\\n\\nHumanMessages are messages that are passed in from a human to the model.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Instantiate a chat model and invoke it with the messages\\n model = ...\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "human", "default": "human", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessage", "type": "object"}, "HumanMessageChunk": {"additionalProperties": true, "description": "Human Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "HumanMessageChunk", "default": "HumanMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessageChunk", "type": "object"}, "InputTokenDetails": {"description": "Breakdown of input token counts.\\n\\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n }\\n\\n.. versionadded:: 0.3.9\\n\\nMay also hold extra provider-specific keys.", "properties": {"audio": {"title": "Audio", "type": "integer"}, "cache_creation": {"title": "Cache Creation", "type": "integer"}, "cache_read": {"title": "Cache Read", "type": "integer"}}, "title": "InputTokenDetails", "type": "object"}, "InvalidToolCall": {"description": "Allowance for errors made by LLM.\\n\\nHere we add an `error` key to surface errors made during generation\\n(e.g., invalid JSON arguments.)", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "error": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Error"}, "type": {"const": "invalid_tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "error"], "title": "InvalidToolCall", "type": "object"}, "OutputTokenDetails": {"description": "Breakdown of output token counts.\\n\\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "reasoning": {"title": "Reasoning", "type": "integer"}}, "title": "OutputTokenDetails", "type": "object"}, "SystemMessage": {"additionalProperties": true, "description": "Message for priming AI behavior.\\n\\nThe system message is usually passed in as the first of a sequence\\nof input messages.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import HumanMessage, SystemMessage\\n\\n messages = [\\n SystemMessage(\\n content=\\"You are a helpful assistant! Your name is Bob.\\"\\n ),\\n HumanMessage(\\n content=\\"What is your name?\\"\\n )\\n ]\\n\\n # Define a chat model and invoke it with the messages\\n print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "system", "default": "system", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessage", "type": "object"}, "SystemMessageChunk": {"additionalProperties": true, "description": "System Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "SystemMessageChunk", "default": "SystemMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessageChunk", "type": "object"}, "ToolCall": {"description": "Represents a request to call a tool.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"name\\": \\"foo\\",\\n \\"args\\": {\\"a\\": 1},\\n \\"id\\": \\"123\\"\\n }\\n\\n This represents a request to call the tool named \\"foo\\" with arguments {\\"a\\": 1}\\n and an identifier of \\"123\\".", "properties": {"name": {"title": "Name", "type": "string"}, "args": {"additionalProperties": true, "title": "Args", "type": "object"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "type": {"const": "tool_call", "title": "Type", "type": "string"}}, "required": ["name", "args", "id"], "title": "ToolCall", "type": "object"}, "ToolCallChunk": {"description": "A chunk of a tool call (e.g., as part of a stream).\\n\\nWhen merging ToolCallChunks (e.g., via AIMessageChunk.__add__),\\nall string attributes are concatenated. Chunks are only merged if their\\nvalues of `index` are equal and not None.\\n\\nExample:\\n\\n.. code-block:: python\\n\\n left_chunks = [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":\', index=0)]\\n right_chunks = [ToolCallChunk(name=None, args=\'1}\', index=0)]\\n\\n (\\n AIMessageChunk(content=\\"\\", tool_call_chunks=left_chunks)\\n + AIMessageChunk(content=\\"\\", tool_call_chunks=right_chunks)\\n ).tool_call_chunks == [ToolCallChunk(name=\'foo\', args=\'{\\"a\\":1}\', index=0)]", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "index": {"anyOf": [{"type": "integer"}, {"type": "null"}], "title": "Index"}, "type": {"const": "tool_call_chunk", "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "index"], "title": "ToolCallChunk", "type": "object"}, "ToolMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nToolMessages contain the result of a tool invocation. Typically, the result\\nis encoded inside the `content` field.\\n\\nExample: A ToolMessage representing a result of 42 from a tool call with id\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n ToolMessage(content=\'42\', tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\')\\n\\n\\nExample: A ToolMessage where only part of the tool output is sent to the model\\n and the full output is passed in to artifact.\\n\\n .. versionadded:: 0.2.17\\n\\n .. code-block:: python\\n\\n from langchain_core.messages import ToolMessage\\n\\n tool_output = {\\n \\"stdout\\": \\"From the graph we can see that the correlation between x and y is ...\\",\\n \\"stderr\\": None,\\n \\"artifacts\\": {\\"type\\": \\"image\\", \\"base64_data\\": \\"/9j/4gIcSU...\\"},\\n }\\n\\n ToolMessage(\\n content=tool_output[\\"stdout\\"],\\n artifact=tool_output,\\n tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\',\\n )\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "tool", "default": "tool", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessage", "type": "object"}, "ToolMessageChunk": {"additionalProperties": true, "description": "Tool Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"const": "ToolMessageChunk", "default": "ToolMessageChunk", "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessageChunk", "type": "object"}, "UsageMetadata": {"description": "Usage metadata for a message, such as token counts.\\n\\nThis is a standard representation of token usage that is consistent across models.\\n\\nExample:\\n\\n .. code-block:: python\\n\\n {\\n \\"input_tokens\\": 350,\\n \\"output_tokens\\": 240,\\n \\"total_tokens\\": 590,\\n \\"input_token_details\\": {\\n \\"audio\\": 10,\\n \\"cache_creation\\": 200,\\n \\"cache_read\\": 100,\\n },\\n \\"output_token_details\\": {\\n \\"audio\\": 10,\\n \\"reasoning\\": 200,\\n }\\n }\\n\\n.. versionchanged:: 0.3.9\\n\\n Added ``input_token_details`` and ``output_token_details``.", "properties": {"input_tokens": {"title": "Input Tokens", "type": "integer"}, "output_tokens": {"title": "Output Tokens", "type": "integer"}, "total_tokens": {"title": "Total Tokens", "type": "integer"}, "input_token_details": {"$ref": "#/$defs/InputTokenDetails"}, "output_token_details": {"$ref": "#/$defs/OutputTokenDetails"}}, "required": ["input_tokens", "output_tokens", "total_tokens"], "title": "UsageMetadata", "type": "object"}}, "default": null, "items": {"oneOf": [{"$ref": "#/$defs/AIMessage"}, {"$ref": "#/$defs/HumanMessage"}, {"$ref": "#/$defs/ChatMessage"}, {"$ref": "#/$defs/SystemMessage"}, {"$ref": "#/$defs/FunctionMessage"}, {"$ref": "#/$defs/ToolMessage"}, {"$ref": "#/$defs/AIMessageChunk"}, {"$ref": "#/$defs/HumanMessageChunk"}, {"$ref": "#/$defs/ChatMessageChunk"}, {"$ref": "#/$defs/SystemMessageChunk"}, {"$ref": "#/$defs/FunctionMessageChunk"}, {"$ref": "#/$defs/ToolMessageChunk"}]}, "title": "LangGraphOutput", "type": "array"}' # --- # name: test_message_graph[memory].2 ''' @@ -175,10 +175,10 @@ ''' # --- # name: test_prebuilt_tool_chat - '{"$defs": {"BaseMessage": {"additionalProperties": true, "description": "Base abstract message class.\\n\\nMessages are the inputs and outputs of ChatModels.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "type"], "title": "BaseMessage", "type": "object"}}, "properties": {"messages": {"items": {"$ref": "#/$defs/BaseMessage"}, "title": "Messages", "type": "array"}}, "required": ["messages"], "title": "LangGraphInput", "type": "object"}' + '{"$defs": {"BaseMessage": {"additionalProperties": true, "description": "Base abstract message class.\\n\\nMessages are the inputs and outputs of ChatModels.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "type"], "title": "BaseMessage", "type": "object"}}, "description": "The state of the agent.", "properties": {"messages": {"items": {"$ref": "#/$defs/BaseMessage"}, "title": "Messages", "type": "array"}, "is_last_step": {"title": "Is Last Step", "type": "boolean"}, "remaining_steps": {"title": "Remaining Steps", "type": "integer"}}, "required": ["messages", "is_last_step", "remaining_steps"], "title": "AgentState", "type": "object"}' # --- # name: test_prebuilt_tool_chat.1 - '{"$defs": {"BaseMessage": {"additionalProperties": true, "description": "Base abstract message class.\\n\\nMessages are the inputs and outputs of ChatModels.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "type"], "title": "BaseMessage", "type": "object"}}, "properties": {"messages": {"items": {"$ref": "#/$defs/BaseMessage"}, "title": "Messages", "type": "array"}}, "required": ["messages"], "title": "LangGraphOutput", "type": "object"}' + '{"$defs": {"BaseMessage": {"additionalProperties": true, "description": "Base abstract message class.\\n\\nMessages are the inputs and outputs of ChatModels.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "type"], "title": "BaseMessage", "type": "object"}}, "description": "The state of the agent.", "properties": {"messages": {"items": {"$ref": "#/$defs/BaseMessage"}, "title": "Messages", "type": "array"}, "is_last_step": {"title": "Is Last Step", "type": "boolean"}, "remaining_steps": {"title": "Remaining Steps", "type": "integer"}}, "required": ["messages", "is_last_step", "remaining_steps"], "title": "AgentState", "type": "object"}' # --- # name: test_prebuilt_tool_chat.2 ''' diff --git a/libs/langgraph/tests/__snapshots__/test_pregel.ambr b/libs/langgraph/tests/__snapshots__/test_pregel.ambr index b8e226348..c1c17b29d 100644 --- a/libs/langgraph/tests/__snapshots__/test_pregel.ambr +++ b/libs/langgraph/tests/__snapshots__/test_pregel.ambr @@ -1,9 +1,9 @@ # serializer version: 1 # name: test_conditional_entrypoint_graph_state - '{"properties": {"input": {"default": null, "title": "Input", "type": "string"}, "output": {"default": null, "title": "Output", "type": "string"}, "steps": {"default": null, "items": {"type": "string"}, "title": "Steps", "type": "array"}}, "title": "LangGraphInput", "type": "object"}' + '{"properties": {"input": {"title": "Input", "type": "string"}, "output": {"title": "Output", "type": "string"}, "steps": {"items": {"type": "string"}, "title": "Steps", "type": "array"}}, "title": "AgentState", "type": "object"}' # --- # name: test_conditional_entrypoint_graph_state.1 - '{"properties": {"input": {"default": null, "title": "Input", "type": "string"}, "output": {"default": null, "title": "Output", "type": "string"}, "steps": {"default": null, "items": {"type": "string"}, "title": "Steps", "type": "array"}}, "title": "LangGraphOutput", "type": "object"}' + '{"properties": {"input": {"title": "Input", "type": "string"}, "output": {"title": "Output", "type": "string"}, "steps": {"items": {"type": "string"}, "title": "Steps", "type": "array"}}, "title": "AgentState", "type": "object"}' # --- # name: test_conditional_entrypoint_graph_state.2 ''' @@ -89,10 +89,10 @@ ''' # --- # name: test_conditional_entrypoint_to_multiple_state_graph - '{"properties": {"locations": {"items": {"type": "string"}, "title": "Locations", "type": "array"}, "results": {"items": {"type": "string"}, "title": "Results", "type": "array"}}, "required": ["locations", "results"], "title": "LangGraphInput", "type": "object"}' + '{"properties": {"locations": {"items": {"type": "string"}, "title": "Locations", "type": "array"}, "results": {"items": {"type": "string"}, "title": "Results", "type": "array"}}, "required": ["locations", "results"], "title": "OverallState", "type": "object"}' # --- # name: test_conditional_entrypoint_to_multiple_state_graph.1 - '{"properties": {"locations": {"items": {"type": "string"}, "title": "Locations", "type": "array"}, "results": {"items": {"type": "string"}, "title": "Results", "type": "array"}}, "required": ["locations", "results"], "title": "LangGraphOutput", "type": "object"}' + '{"properties": {"locations": {"items": {"type": "string"}, "title": "Locations", "type": "array"}, "results": {"items": {"type": "string"}, "title": "Results", "type": "array"}}, "required": ["locations", "results"], "title": "OverallState", "type": "object"}' # --- # name: test_conditional_entrypoint_to_multiple_state_graph.2 ''' @@ -828,10 +828,10 @@ '{"$defs": {"Config": {"properties": {"tools": {"items": {"type": "string"}, "title": "Tools", "type": "array"}}, "title": "Config", "type": "object"}}, "properties": {"configurable": {"$ref": "#/$defs/Config", "default": null}}, "title": "LangGraphConfig", "type": "object"}' # --- # name: test_state_graph_w_config_inherited_state_keys.1 - '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "enum": ["AgentAction"], "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "enum": ["AgentFinish"], "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "default": null, "title": "Agent Outcome"}, "intermediate_steps": {"default": null, "items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "required": ["input"], "title": "LangGraphInput", "type": "object"}' + '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"additionalProperties": true, "title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "title": "Agent Outcome"}, "intermediate_steps": {"items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "required": ["input", "agent_outcome"], "title": "AgentState", "type": "object"}' # --- # name: test_state_graph_w_config_inherited_state_keys.2 - '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "enum": ["AgentAction"], "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "enum": ["AgentFinish"], "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "default": null, "title": "Agent Outcome"}, "intermediate_steps": {"default": null, "items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "required": ["input"], "title": "LangGraphOutput", "type": "object"}' + '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"additionalProperties": true, "title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "title": "Agent Outcome"}, "intermediate_steps": {"items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "required": ["input", "agent_outcome"], "title": "AgentState", "type": "object"}' # --- # name: test_xray_bool ''' diff --git a/libs/langgraph/tests/test_large_cases.py b/libs/langgraph/tests/test_large_cases.py index e3108c105..81de033ba 100644 --- a/libs/langgraph/tests/test_large_cases.py +++ b/libs/langgraph/tests/test_large_cases.py @@ -569,8 +569,8 @@ def test_conditional_state_graph( app = workflow.compile() if isinstance(sync_checkpointer, InMemorySaver): - assert json.dumps(app.get_input_schema().model_json_schema()) == snapshot - assert json.dumps(app.get_output_schema().model_json_schema()) == snapshot + assert json.dumps(app.get_input_jsonschema()) == snapshot + assert json.dumps(app.get_output_jsonschema()) == snapshot assert json.dumps(app.get_graph().to_json(), indent=2) == snapshot assert app.get_graph().draw_mermaid(with_styles=False) == snapshot @@ -1302,8 +1302,8 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None: app = create_react_agent(model, tools) - assert json.dumps(app.get_input_schema().model_json_schema()) == snapshot - assert json.dumps(app.get_output_schema().model_json_schema()) == snapshot + assert json.dumps(app.get_input_jsonschema()) == snapshot + assert json.dumps(app.get_output_jsonschema()) == snapshot assert json.dumps(app.get_graph().to_json(), indent=2) == snapshot assert app.get_graph().draw_mermaid(with_styles=False) == snapshot @@ -2483,8 +2483,8 @@ def test_message_graph( app = workflow.compile() if isinstance(sync_checkpointer, InMemorySaver): - assert json.dumps(app.get_input_schema().model_json_schema()) == snapshot - assert json.dumps(app.get_output_schema().model_json_schema()) == snapshot + assert json.dumps(app.get_input_jsonschema()) == snapshot + assert json.dumps(app.get_output_jsonschema()) == snapshot assert json.dumps(app.get_graph().to_json(), indent=2) == snapshot assert app.get_graph().draw_mermaid(with_styles=False) == snapshot diff --git a/libs/langgraph/tests/test_pregel.py b/libs/langgraph/tests/test_pregel.py index 2fabec768..c82bec7ba 100644 --- a/libs/langgraph/tests/test_pregel.py +++ b/libs/langgraph/tests/test_pregel.py @@ -1722,8 +1722,8 @@ def test_conditional_entrypoint_to_multiple_state_graph( app = workflow.compile() - assert json.dumps(app.get_input_schema().model_json_schema()) == snapshot - assert json.dumps(app.get_output_schema().model_json_schema()) == snapshot + assert json.dumps(app.get_input_jsonschema()) == snapshot + assert json.dumps(app.get_output_jsonschema()) == snapshot assert json.dumps(app.get_graph().to_json(), indent=2) == snapshot assert app.get_graph().draw_mermaid(with_styles=False) == snapshot @@ -1847,8 +1847,8 @@ def test_state_graph_w_config_inherited_state_keys(snapshot: SnapshotAssertion) app = builder.compile() assert json.dumps(app.config_schema().model_json_schema()) == snapshot - assert json.dumps(app.get_input_schema().model_json_schema()) == snapshot - assert json.dumps(app.get_output_schema().model_json_schema()) == snapshot + assert json.dumps(app.get_input_jsonschema()) == snapshot + assert json.dumps(app.get_output_jsonschema()) == snapshot assert builder.channels.keys() == {"input", "agent_outcome", "intermediate_steps"} @@ -1911,8 +1911,8 @@ def test_conditional_entrypoint_graph_state(snapshot: SnapshotAssertion) -> None app = workflow.compile() - assert json.dumps(app.get_input_schema().model_json_schema()) == snapshot - assert json.dumps(app.get_output_schema().model_json_schema()) == snapshot + assert json.dumps(app.get_input_jsonschema()) == snapshot + assert json.dumps(app.get_output_jsonschema()) == snapshot assert json.dumps(app.get_graph().to_json(), indent=2) == snapshot assert app.get_graph().draw_mermaid(with_styles=False) == snapshot @@ -2506,8 +2506,8 @@ def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2( if isinstance(sync_checkpointer, InMemorySaver): assert app.get_graph().draw_mermaid(with_styles=False) == snapshot - assert app.get_input_schema().model_json_schema() == snapshot - assert app.get_output_schema().model_json_schema() == snapshot + assert app.get_input_jsonschema() == snapshot + assert app.get_output_jsonschema() == snapshot with pytest.raises(ValidationError): app.invoke({"query": {}}) @@ -6548,7 +6548,7 @@ def test_entrypoint_output_schema_with_return_and_save() -> None: def foo2(inputs, *, previous: Any) -> entrypoint.final: return entrypoint.final(value="foo", save=1) - assert foo2.get_output_schema().model_json_schema() == { + assert foo2.get_output_jsonschema() == { "title": "LangGraphOutput", } @@ -6556,7 +6556,7 @@ def test_entrypoint_output_schema_with_return_and_save() -> None: def foo(inputs, *, previous: Any) -> entrypoint.final[str, int]: return entrypoint.final(value="foo", save=1) - assert foo.get_output_schema().model_json_schema() == { + assert foo.get_output_jsonschema() == { "title": "LangGraphOutput", "type": "string", } @@ -6583,7 +6583,7 @@ def test_entrypoint_with_return_and_save( previous = previous or [] return entrypoint.final(value=len(previous), save=previous + [msg]) - assert foo.get_output_schema().model_json_schema() == { + assert foo.get_output_jsonschema() == { "title": "LangGraphOutput", "type": "integer", } diff --git a/libs/langgraph/tests/test_pregel_async.py b/libs/langgraph/tests/test_pregel_async.py index 6569a1d8d..dc7a9c3d0 100644 --- a/libs/langgraph/tests/test_pregel_async.py +++ b/libs/langgraph/tests/test_pregel_async.py @@ -4499,8 +4499,8 @@ async def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydant if isinstance(async_checkpointer, InMemorySaver): assert app.get_graph().draw_mermaid(with_styles=False) == snapshot - assert app.get_input_schema().model_json_schema() == snapshot - assert app.get_output_schema().model_json_schema() == snapshot + assert app.get_input_jsonschema() == snapshot + assert app.get_output_jsonschema() == snapshot with pytest.raises(ValidationError): await app.ainvoke({"query": {}}) diff --git a/libs/langgraph/tests/test_state.py b/libs/langgraph/tests/test_state.py index 0ad70140d..82a3997de 100644 --- a/libs/langgraph/tests/test_state.py +++ b/libs/langgraph/tests/test_state.py @@ -163,13 +163,12 @@ def test_state_schema_optional_values(total_: bool): expected_required = set() expected_optional = {"val2", "val1"} else: - expected_required = {"val1"} - - expected_optional = {"val2"} + expected_required = {"val1", "val2"} + expected_optional = set() # The others should always have 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a/libs/sdk-js/package.json +++ b/libs/sdk-js/package.json @@ -1,6 +1,6 @@ { "name": "@langchain/langgraph-sdk", - "version": "0.0.88", + "version": "0.0.89", "description": "Client library for interacting with the LangGraph API", "type": "module", "packageManager": "yarn@1.22.19", diff --git a/libs/sdk-js/src/types.messages.ts b/libs/sdk-js/src/types.messages.ts index 49123cf1a..26b929535 100644 --- a/libs/sdk-js/src/types.messages.ts +++ b/libs/sdk-js/src/types.messages.ts @@ -13,16 +13,22 @@ type MessageContent = string | MessageContentComplex[]; */ type MessageAdditionalKwargs = Record; -export type HumanMessage = { - type: "human"; - id?: string | undefined; +type BaseMessage = { + additional_kwargs?: MessageAdditionalKwargs | undefined; content: MessageContent; + id?: string | undefined; + name?: string | undefined; + response_metadata?: Record | undefined; }; -export type AIMessage = { +export type HumanMessage = BaseMessage & { + type: "human"; + example?: boolean | undefined; +}; + +export type AIMessage = BaseMessage & { type: "ai"; - id?: string | undefined; - content: MessageContent; + example?: boolean | undefined; tool_calls?: | { name: string; @@ -57,19 +63,12 @@ export type AIMessage = { | undefined; } | undefined; - additional_kwargs?: MessageAdditionalKwargs | undefined; - response_metadata?: Record | undefined; }; -export type ToolMessage = { +export type ToolMessage = BaseMessage & { type: "tool"; - name?: string | undefined; - id?: string | undefined; - content: MessageContent; status?: "error" | "success" | undefined; tool_call_id: string; - additional_kwargs?: MessageAdditionalKwargs | undefined; - response_metadata?: Record | undefined; /** * Artifact of the Tool execution which is not meant to be sent to the model. * @@ -81,22 +80,16 @@ export type ToolMessage = { artifact?: any; }; -export type SystemMessage = { +export type SystemMessage = BaseMessage & { type: "system"; - id?: string | undefined; - content: MessageContent; }; -export type FunctionMessage = { +export type FunctionMessage = BaseMessage & { type: "function"; - id?: string | undefined; - content: MessageContent; }; -export type RemoveMessage = { +export type RemoveMessage = BaseMessage & { type: "remove"; - id: string; - content: MessageContent; }; export type Message =