diff --git a/backend/ingest.py b/backend/ingest.py index 4f9067386..8940ee81b 100644 --- a/backend/ingest.py +++ b/backend/ingest.py @@ -3,7 +3,10 @@ import logging import os import re +import sqlite3 from typing import Optional +import requests +import json import weaviate from bs4 import BeautifulSoup, SoupStrainer @@ -15,6 +18,7 @@ from backend.constants import WEAVIATE_GENERAL_GUIDES_AND_TUTORIALS_INDEX_NAME from backend.embeddings import get_embeddings_model from backend.parser import langchain_docs_extractor +from backend.utils import parse_openapi_spec logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) @@ -56,12 +60,10 @@ def simple_extractor(html: str | BeautifulSoup) -> str: ) return re.sub(r"\n\n+", "\n\n", soup.text).strip() - ######################### # General Guides and Tutorials ######################### - # NOTE: To be deprecated once LangChain docs are migrated to new site. def load_langchain_python_docs(): return SitemapLoader( @@ -77,7 +79,6 @@ def load_langchain_python_docs(): meta_function=metadata_extractor, ).load() - # NOTE: To be deprecated once LangChain docs are migrated to new site. def load_langchain_js_docs(): return SitemapLoader( @@ -93,7 +94,6 @@ def load_langchain_js_docs(): filter_urls=["https://js.langchain.com/docs/"], ).load() - def load_aggregated_docs_site(): return SitemapLoader( "https://docs.langchain.com/sitemap.xml", @@ -114,7 +114,6 @@ def ingest_general_guides_and_tutorials(): aggregated_site_docs = load_aggregated_docs_site() return langchain_python_docs + langchain_js_docs + aggregated_site_docs - def ingest_docs(): text_splitter = RecursiveCharacterTextSplitter(chunk_size=4000, chunk_overlap=200) embedding = get_embeddings_model() @@ -173,6 +172,63 @@ def ingest_docs(): f"General Guides and Tutorials now has this many vectors: {num_vecs}", ) +######################### +# API and SDK Docs +######################### + +SQLITE_DB_PATH = "api_sdk_docs.db" + +def create_sqlite_db(): + conn = sqlite3.connect(SQLITE_DB_PATH) + cur = conn.cursor() + cur.execute(""" + CREATE VIRTUAL TABLE IF NOT EXISTS docs USING fts5( + domain, + title, + url, + content + ); + """) + conn.commit() + return conn + +def load_langsmith_api_docs(): + url = "https://api.smith.langchain.com/openapi.json" + spec = requests.get(url).json() + docs = parse_openapi_spec(spec, base_url="https://api.smith.langchain.com/redoc", domain="langsmith_api") + return docs + +def load_langgraph_platform_api_docs(): + with open("docs/langgraph-platform.json", "r") as f: + spec = json.load(f) + docs = parse_openapi_spec(spec, base_url="https://langchain-ai.github.io/langgraph/cloud/reference/api/api_ref.html", domain="langgraph_platform_api") + return docs + +def ingest_sdk_and_api_docs(): + conn = create_sqlite_db() + cur = conn.cursor() + docs = [] + docs.extend(load_langsmith_api_docs()) + docs.extend(load_langgraph_platform_api_docs()) + + cur.execute("DELETE FROM docs WHERE domain = 'langsmith_api'") + cur.execute("DELETE FROM docs WHERE domain = 'langgraph_platform_api'") + + for doc in docs: + cur.execute(""" + INSERT INTO docs (domain, title, url, content) + VALUES (?, ?, ?, ?) + """, (doc["domain"], doc["title"], doc["url"], doc["content"])) + + conn.commit() + print(f"Inserted {len(docs)} documents into SQLite database") + conn.close() + return docs + +######################### +# Main +######################### if __name__ == "__main__": - ingest_docs() + # ingest_docs() + ingest_sdk_and_api_docs() \ No newline at end of file diff --git a/backend/retrieval_graph/deepagent/deepagent.py b/backend/retrieval_graph/deepagent/deepagent.py new file mode 100644 index 000000000..11f201ffa --- /dev/null +++ b/backend/retrieval_graph/deepagent/deepagent.py @@ -0,0 +1,131 @@ +import os +import json +import sqlite3 +from typing import Literal +from pydantic import BaseModel +from langchain_core.runnables import RunnableConfig +from typing import Optional +from deepagents import create_deep_agent, SubAgent, DeepAgentState +from backend.retrieval_graph.deepagent.prompts import RAG_TOOL_DESCRIPTION, DEEP_AGENT_DEFAULT_INSTRUCTIONS, LANGSMITH_API_TOOL_DESCRIPTION, LANGGRAPH_PLATFORM_API_TOOL_DESCRIPTION, LIST_API_SDK_ENDPOINTS_TOOL_DESCRIPTION, REACT_AGENT_INSTRUCTIONS, NO_LISTING_TOOL_INSTRUCTIONS +from langchain_core.tools import tool +from backend.retrieval import make_retriever +from langchain_core.documents import Document + +# TODO: Make this configurable eventually? +config = { + "configurable": { + "embedding_model": "openai/text-embedding-3-small", + "retriever_provider": "weaviate", + } +} + +@tool(description=RAG_TOOL_DESCRIPTION) +async def guide_rag_search(query: str) -> str: + with make_retriever(config) as retriever: + response = await retriever.ainvoke(query, config) + return {"documents": [{"page_content": doc.page_content, "source": doc.metadata["source"], "title": doc.metadata["title"]} for doc in response]} + +@tool(description=LIST_API_SDK_ENDPOINTS_TOOL_DESCRIPTION) +async def list_api_sdk_endpoints(domain: str) -> str: + conn = sqlite3.connect("api_sdk_docs.db") + cur = conn.cursor() + cur.execute(""" + SELECT title + FROM docs + WHERE domain = ? + """, (domain,)) + results = cur.fetchall() + conn.close() + all_titles = [f"{title}\n" for title in results] + return f"There are {len(results)} endpoints or functions for {domain}. Here are the titles that you can search for specifically to get details on an endpoint or function:\n\n{''.join(all_titles)}" + +@tool(description=LANGSMITH_API_TOOL_DESCRIPTION) +async def langsmith_api_search(match_string: str) -> str: + conn = sqlite3.connect("api_sdk_docs.db") + cur = conn.cursor() + cur.execute(""" + SELECT title, url, content + FROM docs + WHERE domain = 'langsmith_api' + AND title LIKE ? + LIMIT 3 + """, (f"%{match_string}%",)) + + results = cur.fetchall() + conn.close() + + if not results: + return {"message": f"No results found for '{match_string}'"} + + return { + "results": [{"title": title, "url": url, "content": content} + for title, url, content in results], + "count": len(results) + } + +@tool(description=LANGGRAPH_PLATFORM_API_TOOL_DESCRIPTION) +async def langgraph_platform_api_search(match_string: str) -> str: + conn = sqlite3.connect("api_sdk_docs.db") + cur = conn.cursor() + cur.execute(""" + SELECT title, url, content + FROM docs + WHERE domain = 'langgraph_platform_api' + AND title LIKE ? + LIMIT 3 + """, (f"%{match_string}%",)) + + results = cur.fetchall() + conn.close() + if not results: + return {"message": f"No results found for '{match_string}'"} + + return { + "results": [{"title": title, "url": url, "content": content} + for title, url, content in results], + "count": len(results) + } + + +class AgentConfig(BaseModel): + instructions: Optional[str] = DEEP_AGENT_DEFAULT_INSTRUCTIONS + subagents: Optional[list[dict]] = [] + +class StateSchema(DeepAgentState): + documents: list[Document] + +all_tools = [guide_rag_search, langsmith_api_search, langgraph_platform_api_search, list_api_sdk_endpoints] + +from langchain_anthropic import ChatAnthropic + +def deep_agent_factory(config: RunnableConfig): + cfg = AgentConfig(**config.get("configurable", {})) + return create_deep_agent( + tools=[guide_rag_search, langsmith_api_search, langgraph_platform_api_search, list_api_sdk_endpoints], + instructions=cfg.instructions, + subagents=cfg.subagents, + context_schema=AgentConfig + ).with_config({"recursion_limit": 100}) + +deep_agent = deep_agent_factory(config) + + +################ +# ReAct Agent +################ + +from langgraph.prebuilt import create_react_agent + +all_tools = [guide_rag_search, langsmith_api_search, langgraph_platform_api_search, list_api_sdk_endpoints] + +react_agent = create_react_agent( + ChatAnthropic(model="claude-sonnet-4-20250514", max_tokens=64000).bind_tools(tools=all_tools, cache_control={"type": "ephemeral"}), + [guide_rag_search, langsmith_api_search, langgraph_platform_api_search, list_api_sdk_endpoints], + prompt=REACT_AGENT_INSTRUCTIONS, +) + +react_agent_no_listing_tool = create_react_agent( + ChatAnthropic(model="claude-sonnet-4-20250514", max_tokens=64000), + [guide_rag_search, langsmith_api_search, langgraph_platform_api_search], + prompt=NO_LISTING_TOOL_INSTRUCTIONS, +) \ No newline at end of file diff --git a/backend/retrieval_graph/deepagent/prompts.py b/backend/retrieval_graph/deepagent/prompts.py new file mode 100644 index 000000000..fb30ffb1d --- /dev/null +++ b/backend/retrieval_graph/deepagent/prompts.py @@ -0,0 +1,370 @@ +DEEP_AGENT_DEFAULT_INSTRUCTIONS = """ +You are a specialized AI assistant expert in LangChain, LangGraph and LangSmith, designed to help answer user questions with documentation retrieval. Your primary responsibility is to provide accurate, helpful, and well-researched answers based on official documentation and verified sources. + +## Planning with To Do List + +You should plan your research before calling the tool. You should think about the following: +- What are the key concepts and terms in the question? +- What are the related concepts and terms? +- What are the potential gaps in the documentation? +- What are the potential areas of the documentation to research? + +Use your To Do List to write out your plan at the start. + +## Core Responsibilities and Tools + +You have access to a powerful `guide_rag_search` tool that allows you to search through how-to-guides and tutorials on LangChain, LangGraph and LangSmith documentation using vector database retrieval. +This tool accepts a query (question written in natural English) and returns relevant documentation segments. + +### How to Use the Guide RAG Search Tool Effectively + +1. **Query Construction Best Practices:** + - Extract key terms directly from the user's question + - Focus on specific technical terms, class names, method names, and concepts + - Use multiple complementary queries to cover different aspects of a question + - Remember that this is vector similarity search - use semantically rich, specific terms + + Examples of good queries: + - For "How do I create a graph in LangGraph?": + ```python + guide_rag_search(query="LangGraph graph creation") + guide_rag_search(query="StateGraph initialization") + guide_rag_search(query="graph builder pattern") + ``` + - For "What are checkpoints?": + ```python + guide_rag_search(query="LangGraph checkpoints") + guide_rag_search(query="checkpoint persistence") + guide_rag_search(query="state checkpointing") + ``` + +2. **Parallel-First Research Strategy:** + - **ALWAYS START WITH MULTIPLE PARALLEL QUERIES**: Don't just search for one thing - think of multiple related queries and run them by calling the tool multiple times. + - Cast a wide net initially: Include broad context queries, specific technical queries, example queries, and related concept queries + - After analyzing the results, if there are gaps you can always run ANOTHER parallel batch of follow-up queries + - Example initial parallel search for "How do I handle errors in LangGraph?": + ```python + guide_rag_search(query="LangGraph error handling") + guide_rag_search(query="exception management graphs") + guide_rag_search(query="retry logic LangGraph") + ``` + +3. **When to Stop Researching:** + - You have found clear, authoritative documentation that answers the user's question + - You have enough context to provide a complete answer with examples + - Further searches would only delay the response without adding value + +### How to use API and SDK documentation search tools. + +In addition to guide_rag_search, you have access to tools that allow you to search specific technical API and SDK documentation. + +Here are the tools you have access to, and when to use them: +- list_api_sdk_endpoints: Use this to get a list of all the endpoints or functions for a given API or SDK. +- langsmith_api_search: Use this to search the API documentation for HTTP endpoints, parameters, and responses. Note: This is separate from the Python and JavaScript SDK documentation for LangSmith. +- langgraph_platform_api_search: Use this to search the API documentation for HTTP endpoints, parameters, and responses. Note: This is separate from the Python and JavaScript SDK documentation for LangGraph Platform. + +IMPORTANT: You should typically use the guide_rag_search tool in the first batch of tools calls. +NOTE: If the user's question seems to require knowledge of APIs or SDKs, you should ALSO call the list_api_sdk_endpoints tool in the first batch of tool calls. +Then, you should use the langsmith_api_search or langgraph_platform_api_search tool if and only if you need to find information about specific technical details that are mentioned. +REMEMBER: Iterations are expensive in terms of time. So you should try to do as much work in parallel as possible. + +## Response Guidelines + +### Accuracy and Verification +- **CRITICAL: Never hallucinate or make up information** +- Only provide information that can be directly verified from the retrieved documentation +- If documentation is unclear or incomplete, explicitly state what you found and what remains uncertain +- Use phrases like "you can find the documentation [here](source url)" to make it easy for the user to click into the full docs. + +### Code Examples +- Include code examples when they help illustrate concepts +- Prioritize using code examples found in the retrieved documentation + +### Response Structure +1. **Direct Answer**: Start with a clear, concise answer to the user's question +2. **Detailed Explanation**: Provide context and details from the documentation +3. **Code Examples**: Include relevant code snippets when helpful +4. **Additional Context**: Mention related concepts or features the user might find useful, or other relevant information +NOTE: You should always cite the full URL of the documentation that answers the question in your response. You should cite this information inline where it is most relevant. +IMPORTANT: You should ALWAYS cite any API or SDK docs that you use too! Users find these reference URLs extremely helpful. + +### Response Format +- The above response structure should be your final response to the user. After that, you can call a tool to complete To Dos if you need to, but you should not generate any more text or commentary for the user after writing your final response. +- The above final response is going to be presented to the user as a chat message. Don't write another extra message afterwards. + +## Other Helpful Considerations +When researching LangGraph topics, keep in mind: +- LangGraph builds on LangChain concepts - sometimes you may need to search for both +- Graph-related terminology (nodes, edges, state, checkpoints) has specific meanings in LangGraph +- The framework emphasizes state management and persistence + +CRITICAL REMINDER: Cite helpful resources like guides and API docs with [here](source url)" to make it easy for the user to click into the full docs. These links are critical for a user. +""" + +RAG_TOOL_DESCRIPTION = """ +Perform a vector database search through LangChain, LangGraph, and LangSmith documentation to retrieve relevant information for answering user questions. + +This should be the first place you look for information. + +This tool uses semantic similarity search to find the most relevant documentation segments based on your queries. +This tool connects to a vector database that stores how-to-guides, tutorials, and other general usage information on LangChain, LangGraph, and LangSmith. +This tool is great forfinding technical documentation, code examples, and conceptual explanations within the LangGraph framework documentation. +This tool DOES NOT connect to API or SDK documentation directly, however, it can have great code samples for specific classes or endpoints. + +## Parameters: +- query: str - A search query written in natural English. + +## Query Formulation Guidelines: +1. **Be Specific and Technical**: Use exact technical terms, class names, method names, and LangGraph-specific concepts when known. + - Good: "StateGraph add_node method", "checkpoint persistence SqliteSaver" + +2. **Use Multiple Complementary Queries**: Cover different aspects of the question with varied queries. + - For "How do I persist state?": ["LangGraph state persistence", "checkpoint storage", "SqliteSaver PostgresSaver", "checkpointer configuration"] + +3. **Include Context Keywords**: Add framework-specific context to disambiguate general terms. + - Instead of "memory", use "LangGraph memory checkpoints" + - Instead of "streaming", use "LangGraph streaming events output" + +## Return Format: +Returns a list of relevant documentation chunks, each containing: +- The text content from the documentation +- Metadata about the source (section, page, relevance score) +- Code snippets if present in the documentation + +## Best Practices - LEVERAGE PARALLEL SEARCH: +- You should call this tool multiple times at once to get more comprehensive results. +- If follow-up is needed, you can always call this tool again. However, you should try new queries, as this tool is deterministic. + +This tool is your primary interface to the LangChain, LangGraph and LangSmith knowledge base. Use it strategically to gather comprehensive, accurate information while minimizing redundant searches. +""" + +LIST_API_SDK_ENDPOINTS_TOOL_DESCRIPTION = """ This tool allows you to list all the API endpoints for a given API. + +Use this tool to get a list of all the endpoints or functions for a given API or SDK. + +The input to this tool is a string, and must be one of the following: +- "langsmith_api" +- "langgraph_platform_api" + +The output will be a list of endpoints or functions for the given API or SDK. + +You should ALMOST ALWAYS call this tool before using any of the API or SDK documentation search tools. This will inform you about what endpoints you can search for. +""" + +LANGSMITH_API_TOOL_DESCRIPTION = """ This tool allows you to do a string-matching search against the LangSmith API documentation. + +Use this tool to find information about specific endpoints, parameters, and responses in the LangSmith API. + +In order to get information, you'll need to know the path of the endpoint that you're looking for. For example + +Get Tracing Project Prebuilt Dashboard (POST /api/v1/sessions/{{session_id}}/dashboard) + +The input to this tool is a string, and the tool will return the full documentation for an endpoint. +""" + +LANGGRAPH_PLATFORM_API_TOOL_DESCRIPTION = """ This tool allows you to do a string-matching search against the LangGraph Platform API documentation. + +Use this tool to find information about specific endpoints, parameters, and responses in the LangGraph Platform API. + +In order to get information, you'll need to know the path of the endpoint that you're looking for. For example + +Search Assistants (POST /assistants/search) + +The input to this tool is a string, and the tool will return the full documentation for an endpoint. +""" + + +# Same as DEEP_AGENT_DEFAULT_INSTRUCTIONS, but without todo and file stuff +REACT_AGENT_INSTRUCTIONS = """ +You are a specialized AI assistant expert in LangChain, LangGraph and LangSmith, designed to help answer user questions with documentation retrieval. Your primary responsibility is to provide accurate, helpful, and well-researched answers based on official documentation and verified sources. + +## Core Responsibilities and Tools + +You have access to a powerful `guide_rag_search` tool that allows you to search through how-to-guides and tutorials on LangChain, LangGraph and LangSmith documentation using vector database retrieval. +This tool accepts a query (question written in natural English) and returns relevant documentation segments. + +### How to Use the Guide RAG Search Tool Effectively + +1. **Query Construction Best Practices:** + - Extract key terms directly from the user's question + - Focus on specific technical terms, class names, method names, and concepts + - Use multiple complementary queries to cover different aspects of a question + - Remember that this is vector similarity search - use semantically rich, specific terms + + Examples of good queries: + - For "How do I create a graph in LangGraph?": + ```python + guide_rag_search(query="LangGraph graph creation") + guide_rag_search(query="StateGraph initialization") + guide_rag_search(query="graph builder pattern") + ``` + - For "What are checkpoints?": + ```python + guide_rag_search(query="LangGraph checkpoints") + guide_rag_search(query="checkpoint persistence") + guide_rag_search(query="state checkpointing") + ``` + +2. **Parallel-First Research Strategy:** + - **ALWAYS START WITH MULTIPLE PARALLEL QUERIES**: Don't just search for one thing - think of multiple related queries and run them by calling the tool multiple times. + - Cast a wide net initially: Include broad context queries, specific technical queries, example queries, and related concept queries + - After analyzing the results, if there are gaps you can always run ANOTHER parallel batch of follow-up queries + - Example initial parallel search for "How do I handle errors in LangGraph?": + ```python + guide_rag_search(query="LangGraph error handling") + guide_rag_search(query="exception management graphs") + guide_rag_search(query="retry logic LangGraph") + ``` + +3. **When to Stop Researching:** + - You have found clear, authoritative documentation that answers the user's question + - You have enough context to provide a complete answer with examples + - Further searches would only delay the response without adding value + +### How to use API and SDK documentation search tools. + +In addition to guide_rag_search, you have access to tools that allow you to search specific technical API and SDK documentation. + +Here are the tools you have access to, and when to use them: +- list_api_sdk_endpoints: Use this to get a list of all the endpoints or functions for a given API or SDK. +- langsmith_api_search: Use this to search the API documentation for HTTP endpoints, parameters, and responses. Note: This is separate from the Python and JavaScript SDK documentation for LangSmith. +- langgraph_platform_api_search: Use this to search the API documentation for HTTP endpoints, parameters, and responses. Note: This is separate from the Python and JavaScript SDK documentation for LangGraph Platform. + +IMPORTANT: You should typically use the guide_rag_search tool in the first batch of tools calls. +NOTE: If the user's question seems to require knowledge of APIs or SDKs, you should ALSO call the list_api_sdk_endpoints tool in the first batch of tool calls. +Then, you should use the langsmith_api_search or langgraph_platform_api_search tool if and only if you need to find information about specific technical details that are mentioned. +REMEMBER: Iterations are expensive in terms of time. So you should try to do as much work in parallel as possible. + +## Response Guidelines + +### Accuracy and Verification +- **CRITICAL: Never hallucinate or make up information** +- Only provide information that can be directly verified from the retrieved documentation +- If documentation is unclear or incomplete, explicitly state what you found and what remains uncertain +- Use phrases like "you can find the documentation [here](source url)" to make it easy for the user to click into the full docs. + +### Code Examples +- Include code examples when they help illustrate concepts +- Prioritize using code examples found in the retrieved documentation + +### Response Structure +1. **Direct Answer**: Start with a clear, concise answer to the user's question +2. **Detailed Explanation**: Provide context and details from the documentation +3. **Code Examples**: Include relevant code snippets when helpful +4. **Additional Context**: Mention related concepts or features the user might find useful, or other relevant information +NOTE: You should always cite the full URL of the documentation that answers the question in your response. You should cite this information inline where it is most relevant. +IMPORTANT: You should ALWAYS cite any API or SDK docs that you use too! Users find these reference URLs extremely helpful. + +### Response Format +- The above response structure should be your final response to the user. After that, you can call a tool to complete To Dos if you need to, but you should not generate any more text or commentary for the user after writing your final response. +- The above final response is going to be presented to the user as a chat message. Don't write another extra message afterwards. + +## Other Helpful Considerations +When researching LangGraph topics, keep in mind: +- LangGraph builds on LangChain concepts - sometimes you may need to search for both +- Graph-related terminology (nodes, edges, state, checkpoints) has specific meanings in LangGraph +- The framework emphasizes state management and persistence + +CRITICAL REMINDER: Cite helpful resources like guides and API docs with [here](source url)" to make it easy for the user to click into the full docs. These links are critical for a user. +""" + +NO_LISTING_TOOL_INSTRUCTIONS = """ +You are a specialized AI assistant expert in LangChain, LangGraph and LangSmith, designed to help answer user questions with documentation retrieval. Your primary responsibility is to provide accurate, helpful, and well-researched answers based on official documentation and verified sources. + +## Planning with To Do List + +You should plan your research before calling the tool. You should think about the following: +- What are the key concepts and terms in the question? +- What are the related concepts and terms? +- What are the potential gaps in the documentation? +- What are the potential areas of the documentation to research? + +Use your To Do List to write out your plan at the start. + +## Core Responsibilities and Tools + +You have access to a powerful `guide_rag_search` tool that allows you to search through how-to-guides and tutorials on LangChain, LangGraph and LangSmith documentation using vector database retrieval. +This tool accepts a query (question written in natural English) and returns relevant documentation segments. + +### How to Use the Guide RAG Search Tool Effectively + +1. **Query Construction Best Practices:** + - Extract key terms directly from the user's question + - Focus on specific technical terms, class names, method names, and concepts + - Use multiple complementary queries to cover different aspects of a question + - Remember that this is vector similarity search - use semantically rich, specific terms + + Examples of good queries: + - For "How do I create a graph in LangGraph?": + ```python + guide_rag_search(query="LangGraph graph creation") + guide_rag_search(query="StateGraph initialization") + guide_rag_search(query="graph builder pattern") + ``` + - For "What are checkpoints?": + ```python + guide_rag_search(query="LangGraph checkpoints") + guide_rag_search(query="checkpoint persistence") + guide_rag_search(query="state checkpointing") + ``` + +2. **Parallel-First Research Strategy:** + - **ALWAYS START WITH MULTIPLE PARALLEL QUERIES**: Don't just search for one thing - think of multiple related queries and run them by calling the tool multiple times. + - Cast a wide net initially: Include broad context queries, specific technical queries, example queries, and related concept queries + - After analyzing the results, if there are gaps you can always run ANOTHER parallel batch of follow-up queries + - Example initial parallel search for "How do I handle errors in LangGraph?": + ```python + guide_rag_search(query="LangGraph error handling") + guide_rag_search(query="exception management graphs") + guide_rag_search(query="retry logic LangGraph") + ``` + +3. **When to Stop Researching:** + - You have found clear, authoritative documentation that answers the user's question + - You have enough context to provide a complete answer with examples + - Further searches would only delay the response without adding value + +### How to use API and SDK documentation search tools. + +In addition to guide_rag_search, you have access to tools that allow you to search specific technical API and SDK documentation. + +Here are the tools you have access to, and when to use them: +- langsmith_api_search: Use this to search the API documentation for HTTP endpoints, parameters, and responses. Note: This is separate from the Python and JavaScript SDK documentation for LangSmith. +- langgraph_platform_api_search: Use this to search the API documentation for HTTP endpoints, parameters, and responses. Note: This is separate from the Python and JavaScript SDK documentation for LangGraph Platform. + +IMPORTANT: You should typically use the guide_rag_search tool in the first batch of tools calls. +Then, you should use the langsmith_api_search or langgraph_platform_api_search tool if and only if you need to find information about specific technical details that are mentioned. +REMEMBER: Iterations are expensive in terms of time. So you should try to do as much work in parallel as possible. + +## Response Guidelines + +### Accuracy and Verification +- **CRITICAL: Never hallucinate or make up information** +- Only provide information that can be directly verified from the retrieved documentation +- If documentation is unclear or incomplete, explicitly state what you found and what remains uncertain +- Use phrases like "you can find the documentation [here](source url)" to make it easy for the user to click into the full docs. + +### Code Examples +- Include code examples when they help illustrate concepts +- Prioritize using code examples found in the retrieved documentation + +### Response Structure +1. **Direct Answer**: Start with a clear, concise answer to the user's question +2. **Detailed Explanation**: Provide context and details from the documentation +3. **Code Examples**: Include relevant code snippets when helpful +4. **Additional Context**: Mention related concepts or features the user might find useful, or other relevant information +NOTE: You should always cite the full URL of the documentation that answers the question in your response. You should cite this information inline where it is most relevant. +IMPORTANT: You should ALWAYS cite any API or SDK docs that you use too! Users find these reference URLs extremely helpful. + +### Response Format +- The above response structure should be your final response to the user. After that, you can call a tool to complete To Dos if you need to, but you should not generate any more text or commentary for the user after writing your final response. +- The above final response is going to be presented to the user as a chat message. Don't write another extra message afterwards. + +## Other Helpful Considerations +When researching LangGraph topics, keep in mind: +- LangGraph builds on LangChain concepts - sometimes you may need to search for both +- Graph-related terminology (nodes, edges, state, checkpoints) has specific meanings in LangGraph +- The framework emphasizes state management and persistence + +CRITICAL REMINDER: Cite helpful resources like guides and API docs with [here](source url)" to make it easy for the user to click into the full docs. These links are critical for a user. +""" \ No newline at end of file diff --git a/backend/tests/test_retrieval.py b/backend/tests/test_retrieval.py new file mode 100644 index 000000000..92311f2d6 --- /dev/null +++ b/backend/tests/test_retrieval.py @@ -0,0 +1,241 @@ + +from dataclasses import dataclass +from dotenv import load_dotenv +import asyncio +load_dotenv() + +@dataclass +class QA: + question: str + criteria: str + docs: list[str] + + +LANGGRAPH_QA_DATASET = [ + QA( + question="""I was wondering how interrupt works when there is a variable of undeterminism. I have a llm that extracts python code from history. I added a random int and the end of the request, but it still proceeds with the run_python_code_tool without reprompting the user for hitl approval. Does this mean that if the llm extracts a different python code snippet, it will execute that one when the user had only approved the previous python snippet to be run +llm = ChatOpenAI(temperature=0, model_name="gpt-4o-mini") +prompt = ChatPromptTemplate.from_template("Extract most recent python code "`) +response = llm.invoke(prompt.format(state=json.dumps(state))) +python_code = response.content +request = { code: python_code+str(random.randint(1, 10))} +response = interrupt(request) +if response["action"] = "accept": + run_python_code_tool.invoke(python_code)""", + criteria="Should discuss durable execution", + docs=["https://docs.langchain.com/oss/python/durable-execution"] + ), + QA( + question="Is there a prebuilt frontend I can use for chat that also supports interrupts?", + criteria="Should point the user to Agent Chat UI", + docs=["https://docs.langchain.com/oss/python/ui", "https://docs.langchain.com/oss/javascript/ui"] + ), + QA( + question="Can I update the state of my graph myself", + criteria="Yes, should have graph.update_state", + docs=["https://docs.langchain.com/oss/python/5-customize-state", "https://docs.langchain.com/oss/javascript/5-customize-state"] + ), + QA( + question="I want to debug my graph by restarting from previous steps. How can I do this?", + criteria="Should discuss time travel and checkpointing", + docs=["https://docs.langchain.com/oss/python/6-time-travel", "https://docs.langchain.com/oss/python/time-travel", "https://docs.langchain.com/langgraph-platform/langgraph-basics/6-time-travel"] + ) +] + +LANGSMITH_QA_DATASET = [ + QA( + question="""Is there any detailed doc about how to use RunTree? For example, how to create a new RunTree, how to append children, how to find a RunTree by ID, how to end a RunTree. I couldn’t find a way to get RunTree by ID, I can only get Run through client.readRun. How to convert this run to runtree? Thanks!""", + criteria="Should discuss how to use RunTree", + docs=["https://docs.langchain.com/langsmith/access-current-span", "https://docs.langchain.com/langsmith/annotate-code"] + ), + QA( + question="""I am using the following code for tracing. +It shows the trace in the langsmith UI but it doesnt show the token usage, not the cost - how to fix that. + +@traceable(run_type="llm", name='daniel1', metadata={"ls_provider": "openai", "ls_model_name": "gpt-4.1-2025-04-14"}) +def sample_tool()""", + criteria="User needs to pass in prices to calculate token costs.", + docs=["https://docs.langchain.com/langsmith/calculate-token-based-costs"] + ), + QA( + question="Can I pass audio clips in while tracing?", + criteria="Should say yes, pass as a file", + docs=["https://docs.langchain.com/langsmith/upload-files-with-traces"] + ), + QA( + question="I want to start a trace from my frontend, but I want that same trace to be appended to when my FE calls my BE endpoints. How can I do this?", + criteria="Should discuss distributed tracing", + docs=["https://docs.langchain.com/langsmith/distributed-tracing"] + ), + QA( + question="If I have self-hosted langsmith and I share a trace publically, who can see it?", + criteria="Should say that only people on your self-hosted instance can see it.", + docs=["https://docs.langchain.com/langsmith/share-trace"] + ) +] + +LANGSMITH_API_QA_DATASET = [ + QA( + question="How can I delete service accounts in langsmith with the api?", + criteria="Should have code snippet for deleting service accounts", + docs=["https://api.smith.langchain.com/redoc#tag/service-accounts/operation/delete_service_account_api_v1_service_accounts__service_account_id__delete"] + ), + QA( + question="How can I get sub comments in langsmith with the api?", + criteria="Should have code snippet for getting sub comments", + docs=["https://api.smith.langchain.com/redoc#tag/comments/operation/get_sub_comments_api_v1_comments__owner___repo___parent_comment_id__get"] + ), + QA( + question="How can I get list out all of my prompt optimization jobs in langsmith?", + criteria="Should have code snippet for getting prompt optimization jobs", + docs=["https://api.smith.langchain.com/redoc#tag/optimization-jobs/operation/list_jobs_api_v1_repos__owner___repo__optimization_jobs_get"] + ), + QA( + question="How can I see all of my usage limits in langsmith for my org?", + criteria="Should have code snippet for getting usage limits", + docs=["https://api.smith.langchain.com/redoc#tag/usage-limits/operation/list_org_usage_limits_api_v1_usage_limits_org_get"] + ) +] + +LANGGRAPH_PLATFORM_API_QA_DATASET = [ + QA( + question="How can I programmatically get thread state for a checkpoint with an http request?", + criteria="Should have code snippet for getting thread state", + docs=["https://langchain-ai.github.io/langgraph/cloud/reference/api/api_ref.html#tag/threads/get/threads/{thread_id}/state/{checkpoint_id}"] + ), + QA( + question="How can I programmatically create a batch of stateless runs for my langgraph server?", + criteria="Should have code snippet for creating stateless runs", + docs=["https://langchain-ai.github.io/langgraph/cloud/reference/api/api_ref.html#tag/stateless-runs/post/runs/batch"] + ), + QA( + question="How can I programmatically get the subgraphs of an assistant on my langgraph server?", + criteria="Should have code snippet for getting subgraphs", + docs=["https://langchain-ai.github.io/langgraph/cloud/reference/api/api_ref.html#tag/assistants/get/assistants/{assistant_id}/subgraphs"] + ), + QA( + question="How can I programmatically find all of my cron jobs on my langgraph server?", + criteria="Should have code snippet for getting cron jobs", + docs=["https://langchain-ai.github.io/langgraph/cloud/reference/api/api_ref.html#tag/crons-plus-tier/post/runs/crons/search"] + ) +] + +from backend.retrieval_graph.deepagent.deepagent import deep_agent, react_agent, react_agent_no_listing_tool +from backend.retrieval_graph.graph import graph +from langchain_core.messages import HumanMessage +from langsmith import Client + +client = Client() + +def create_langsmith_dataset(): + examples = [] + for qa in LANGGRAPH_QA_DATASET: + examples.append( + { + "inputs": { + "messages": [HumanMessage(qa.question)] + }, + "outputs": { + "criteria": qa.criteria, + "docs": qa.docs + }, + "metadata": { + "subject": "langgraph" + } + } + ) + for qa in LANGSMITH_QA_DATASET: + examples.append( + { + "inputs": { + "messages": [HumanMessage(qa.question)] + }, + "outputs": { + "criteria": qa.criteria, + "docs": qa.docs + }, + "metadata": { + "subject": "langsmith" + } + } + ) + for qa in LANGSMITH_API_QA_DATASET: + examples.append( + { + "inputs": { + "messages": [HumanMessage(qa.question)] + }, + "outputs": { + "criteria": qa.criteria, + "docs": qa.docs + }, + "metadata": { + "subject": "langsmith_api" + } + } + ) + for qa in LANGGRAPH_PLATFORM_API_QA_DATASET: + examples.append( + { + "inputs": { + "messages": [HumanMessage(qa.question)] + }, + "outputs": { + "criteria": qa.criteria, + "docs": qa.docs + }, + "metadata": { + "subject": "langgraph_platform_api" + } + } + ) + client.create_examples(dataset_id="bb0a62ed-2d15-4953-ae22-0c65eb0e1063", examples=examples) + + +def found_docs(reference_outputs: dict, outputs: dict) -> bool: + # Do the calculation on the documents + # TODO: Maybe get rid of this + if "documents" in outputs: + for doc in outputs["documents"]: + if doc.metadata["source"] in reference_outputs["docs"]: + return True + return False + + # We check that at least one of the docs is found in the response (typically between JS and Python) + last_ai_message = None + for msg in reversed(outputs["messages"]): + if msg.type == "ai" and msg.text() != "": + last_ai_message = msg + break + print("Last AI Message: ",last_ai_message) + if not last_ai_message: + return False + for doc in reference_outputs["docs"]: + if doc in last_ai_message.text(): + return True + return False + +async def target_func(inputs: dict): + return await deep_agent.ainvoke(inputs) + +async def original_clc_target_func(inputs: dict): + return await graph.ainvoke(inputs) + +async def react_agent_target_func(inputs: dict): + return await react_agent.ainvoke(inputs) + # return await react_agent_no_listing_tool.ainvoke(inputs) + + +if __name__ == "__main__": + # create_langsmith_dataset() + async def main(): + await client.aevaluate( + target_func, + data="bb0a62ed-2d15-4953-ae22-0c65eb0e1063", + evaluators=[found_docs], + experiment_prefix="deep-agent-v2-prompt-caching: ", + max_concurrency=10 + ) + asyncio.run(main()) + + \ No newline at end of file diff --git a/backend/utils.py b/backend/utils.py index d4dbc5bff..642d2755a 100644 --- a/backend/utils.py +++ b/backend/utils.py @@ -144,3 +144,141 @@ def reduce_docs( existing_ids.add(item_id) return existing_list + new_list + +def parse_openapi_spec(spec: dict, base_url: str, domain: str) -> list[dict]: + docs = [] + for path, path_item in spec.get("paths", {}).items(): + for method, operation in path_item.items(): + if not isinstance(operation, dict): + continue + title = f"{method.upper()} {path}" + if operation.get("summary"): + title = f"{operation['summary']} ({method.upper()} {path})" + + content_parts = [] + + if operation.get("operationId"): + content_parts.append(f"Operation ID: {operation['operationId']}") + + if operation.get("description"): + content_parts.append(f"Description: {operation['description']}") + + if operation.get("tags"): + content_parts.append(f"Tags: {', '.join(operation['tags'])}") + + if operation.get("parameters"): + param_info = [] + for param in operation["parameters"]: + param_str = f"- {param.get('name', 'unnamed')} ({param.get('in', 'unknown')})" + if param.get("required"): + param_str += " [required]" + if param.get("description"): + param_str += f": {param['description']}" + if param.get("schema"): + schema = param["schema"] + if "type" in schema: + param_str += f" (type: {schema['type']}" + if "format" in schema: + param_str += f", format: {schema['format']}" + param_str += ")" + param_info.append(param_str) + + if param_info: + content_parts.append("Parameters:\n" + "\n".join(param_info)) + + if operation.get("requestBody"): + req_body = operation["requestBody"] + body_info = ["Request Body:"] + if req_body.get("required"): + body_info.append("- Required: true") + if req_body.get("description"): + body_info.append(f"- Description: {req_body['description']}") + if req_body.get("content"): + content_types = list(req_body["content"].keys()) + body_info.append(f"- Content-Types: {', '.join(content_types)}") + for content_type, content_spec in req_body["content"].items(): + if content_spec.get("schema", {}).get("$ref"): + ref = content_spec["schema"]["$ref"] + schema_name = ref.split("/")[-1] if "/" in ref else ref + body_info.append(f"- Schema: {schema_name}") + content_parts.append("\n".join(body_info)) + + if operation.get("responses"): + response_info = ["Responses:"] + for status_code, response in operation["responses"].items(): + resp_str = f"- {status_code}" + if response.get("description"): + resp_str += f": {response['description']}" + response_info.append(resp_str) + content_parts.append("\n".join(response_info)) + + if operation.get("security"): + security_info = ["Security Requirements:"] + for security_req in operation["security"]: + for scheme_name, scopes in security_req.items(): + security_info.append(f"- {scheme_name}") + if scopes: + security_info.append(f" Scopes: {', '.join(scopes)}") + content_parts.append("\n".join(security_info)) + + if domain == "langsmith_api" and operation.get("tags") and operation.get("operationId"): + tag = operation["tags"][0] if operation["tags"] else "" + operation_id = operation["operationId"] + specific_url = f"{base_url}#tag/{tag}/operation/{operation_id}" + elif domain == "langgraph_platform_api" and operation.get("tags"): + # Handle tag formatting: "Crons (Plus Tier)" -> "crons-plus-tier" + tag = operation["tags"][0] if operation["tags"] else "" + tag = tag.lower().replace(" (", "-").replace(")", "").replace(" ", "-") + path_without_leading_slash = path.lstrip("/") + specific_url = f"{base_url}#tag/{tag}/{method.lower()}/{path_without_leading_slash}" + else: + specific_url = base_url + + doc = { + "domain": domain, + "title": title, + "url": specific_url, + "content": "\n\n".join(content_parts) + } + docs.append(doc) + if domain == "langgraph_platform_api": + print(doc) + + if "components" in spec and "schemas" in spec["components"]: + for schema_name, schema_def in spec["components"]["schemas"].items(): + content_parts = [f"Schema: {schema_name}"] + + if schema_def.get("type"): + content_parts.append(f"Type: {schema_def['type']}") + + if schema_def.get("description"): + content_parts.append(f"Description: {schema_def['description']}") + + if schema_def.get("properties"): + prop_info = ["Properties:"] + for prop_name, prop_def in schema_def["properties"].items(): + prop_str = f"- {prop_name}" + if prop_def.get("type"): + prop_str += f" ({prop_def['type']}" + if prop_def.get("format"): + prop_str += f", format: {prop_def['format']}" + prop_str += ")" + if prop_def.get("description"): + prop_str += f": {prop_def['description']}" + prop_info.append(prop_str) + content_parts.append("\n".join(prop_info)) + + if schema_def.get("required"): + content_parts.append(f"Required fields: {', '.join(schema_def['required'])}") + + if schema_def.get("enum"): + content_parts.append(f"Enum values: {', '.join(map(str, schema_def['enum']))}") + + doc = { + "domain": domain, + "title": f"Schema: {schema_name}", + "url": base_url, + "content": "\n\n".join(content_parts) + } + docs.append(doc) + return docs \ No newline at end of file diff --git a/docs/langgraph-platform.json b/docs/langgraph-platform.json new file mode 100644 index 000000000..d60e9ff7a --- /dev/null +++ b/docs/langgraph-platform.json @@ -0,0 +1,5627 @@ +{ + "openapi": "3.1.0", + "info": { + "title": "LangGraph Platform", + "version": "0.1.0" + }, + "tags": [ + { + "name": "Assistants", + "description": "An assistant is a configured instance of a graph." + }, + { + "name": "Threads", + "description": "A thread contains the accumulated outputs of a group of runs." + }, + { + "name": "Thread Runs", + "description": "A run is an invocation of a graph / assistant on a thread. It updates the state of the thread." + }, + { + "name": "Stateless Runs", + "description": "A run is an invocation of a graph / assistant, with no state or memory persistence." + }, + { + "name": "Crons (Plus tier)", + "description": "A cron is a periodic run that recurs on a given schedule. The repeats can be isolated, or share state in a thread" + }, + { + "name": "Store", + "description": "Store is an API for managing persistent key-value store (long-term memory) that is available from any thread." + }, + { + "name": "MCP", + "description": "Model Context Protocol related endpoints for exposing an agent as an MCP server." + }, + { + "name": "System", + "description": "System endpoints for health checks, metrics, and server information." + } + ], + "paths": { + "/assistants": { + "post": { + "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": { + "$ref": "#/components/schemas/AssistantCreate" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Assistant" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "409": { + "description": "Conflict", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/assistants/search": { + "post": { + "tags": [ + "Assistants" + ], + "summary": "Search Assistants", + "description": "Search for assistants.\n\nThis endpoint also functions as the endpoint to list all assistants.", + "operationId": "search_assistants_assistants_search_post", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AssistantSearchRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/Assistant" + }, + "type": "array", + "title": "Response Search Assistants Assistants Search Post" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/assistants/count": { + "post": { + "tags": [ + "Assistants" + ], + "summary": "Count Assistants", + "description": "Get the count of assistants matching the specified criteria.", + "operationId": "count_assistants_assistants_count_post", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AssistantCountRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "type": "integer", + "title": "Count" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/assistants/{assistant_id}": { + "get": { + "tags": [ + "Assistants" + ], + "summary": "Get Assistant", + "description": "Get an assistant by ID.", + "operationId": "get_assistant_assistants__assistant_id__get", + "parameters": [ + { + "description": "The ID of the assistant.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Assistant ID", + "description": "The ID of the assistant." + }, + "name": "assistant_id", + "in": "path" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Assistant" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + }, + "delete": { + "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", + "parameters": [ + { + "description": "The ID of the assistant.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Assistant ID", + "description": "The ID of the assistant." + }, + "name": "assistant_id", + "in": "path" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": {} + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + }, + "patch": { + "tags": [ + "Assistants" + ], + "summary": "Patch Assistant", + "description": "Update an assistant.", + "operationId": "patch_assistant_assistants__assistant_id__patch", + "parameters": [ + { + "description": "The ID of the assistant.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Assistant ID", + "description": "The ID of the assistant." + }, + "name": "assistant_id", + "in": "path" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AssistantPatch" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Assistant" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/assistants/{assistant_id}/graph": { + "get": { + "tags": [ + "Assistants" + ], + "summary": "Get Assistant Graph", + "description": "Get an assistant by ID.", + "operationId": "get_assistant_graph_assistants__assistant_id__graph_get", + "parameters": [ + { + "description": "The ID of the assistant.", + "required": true, + "schema": { + "anyOf": [ + { + "type": "string", + "format": "uuid", + "title": "Assistant ID", + "description": "The ID of the assistant." + }, + { + "type": "string", + "title": "Graph ID", + "description": "The ID of the graph." + } + ] + }, + "name": "assistant_id", + "in": "path" + }, + { + "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" + } + ], + "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." + }, + "name": "xray", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "additionalProperties": { + "items": { + "type": "object" + }, + "type": "array" + }, + "type": "object", + "title": "Response Get Assistant Graph Assistants Assistant Id Graph Get" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/assistants/{assistant_id}/subgraphs": { + "get": { + "tags": [ + "Assistants" + ], + "summary": "Get Assistant Subgraphs", + "description": "Get an assistant's subgraphs.", + "operationId": "get_assistant_subgraphs_assistants__assistant_id__subgraphs_get", + "parameters": [ + { + "description": "The ID of the assistant.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Assistant Id" + }, + "name": "assistant_id", + "in": "path" + }, + { + "description": "Recursively retrieve subgraphs of subgraphs.", + "required": false, + "schema": { + "type": "boolean", + "title": "Recurse", + "default": false + }, + "name": "recurse", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Subgraphs" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/assistants/{assistant_id}/subgraphs/{namespace}": { + "get": { + "tags": [ + "Assistants" + ], + "summary": "Get Assistant Subgraphs by Namespace", + "description": "Get an assistant's subgraphs filtered by namespace.", + "operationId": "get_assistant_subgraphs_assistants__assistant_id__subgraphs__namespace__get", + "parameters": [ + { + "description": "The ID of the assistant.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Assistant Id" + }, + "name": "assistant_id", + "in": "path" + }, + { + "description": "Namespace of the subgraph to filter by.", + "required": true, + "schema": { + "type": "string", + "title": "Namespace" + }, + "name": "namespace", + "in": "path" + }, + { + "description": "Recursively retrieve subgraphs of subgraphs.", + "required": false, + "schema": { + "type": "boolean", + "title": "Recurse", + "default": false + }, + "name": "recurse", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Subgraphs" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/assistants/{assistant_id}/schemas": { + "get": { + "tags": [ + "Assistants" + ], + "summary": "Get Assistant Schemas", + "description": "Get an assistant by ID.", + "operationId": "get_assistant_schemas_assistants__assistant_id__schemas_get", + "parameters": [ + { + "description": "The ID of the assistant.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Assistant Id", + "description": "The ID of the assistant." + }, + "name": "assistant_id", + "in": "path" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GraphSchema" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/assistants/{assistant_id}/versions": { + "post": { + "tags": [ + "Assistants" + ], + "summary": "Get Assistant Versions", + "description": "Get all versions of an assistant.", + "operationId": "get_assistant_versions_assistants__assistant_id__versions_get", + "parameters": [ + { + "description": "The ID of the assistant.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Assistant Id", + "description": "The ID of the assistant." + }, + "name": "assistant_id", + "in": "path" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/Assistant" + }, + "type": "array", + "title": "Response Search Assistants Assistants Search Post" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/assistants/{assistant_id}/latest": { + "post": { + "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", + "parameters": [ + { + "description": "The ID of the assistant.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Assistant Id", + "description": "The ID of the assistant." + }, + "name": "assistant_id", + "in": "path" + }, + { + "description": "The version to change to.", + "required": true, + "schema": { + "type": "integer", + "title": "Version", + "description": "The version of the assistant to change to." + }, + "name": "version", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Assistant" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads": { + "post": { + "tags": [ + "Threads" + ], + "summary": "Create Thread", + "description": "Create a thread.", + "operationId": "create_thread_threads_post", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ThreadCreate" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Thread" + } + } + } + }, + "409": { + "description": "Conflict", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/search": { + "post": { + "tags": [ + "Threads" + ], + "summary": "Search Threads", + "description": "Search for threads.\n\nThis endpoint also functions as the endpoint to list all threads.", + "operationId": "search_threads_threads_search_post", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ThreadSearchRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/Thread" + }, + "type": "array", + "title": "Response Search Threads Threads Search Post" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/count": { + "post": { + "tags": [ + "Threads" + ], + "summary": "Count Threads", + "description": "Get the count of threads matching the specified criteria.", + "operationId": "count_threads_threads_count_post", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ThreadCountRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "type": "integer", + "title": "Count" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/state": { + "get": { + "tags": [ + "Threads" + ], + "summary": "Get Thread State", + "description": "Get state for a thread.\n\nThe latest state of the thread (i.e. latest checkpoint) is returned.", + "operationId": "get_latest_thread_state_threads__thread_id__state_get", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + }, + { + "description": "Whether to include subgraphs in the response.", + "required": false, + "schema": { + "type": "boolean", + "title": "Subgraphs", + "description": "Whether to include subgraphs in the response." + }, + "name": "subgraphs", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ThreadState" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + }, + "post": { + "tags": [ + "Threads" + ], + "summary": "Update Thread State", + "description": "Add state to a thread.", + "operationId": "update_thread_state_threads__thread_id__state_post", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ThreadStateUpdate" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ThreadStateUpdateResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/state/{checkpoint_id}": { + "get": { + "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", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + }, + { + "description": "The ID of the checkpoint.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Checkpoint Id", + "description": "The ID of the checkpoint." + }, + "name": "checkpoint_id", + "in": "path" + }, + { + "description": "Whether to include subgraphs in the response.", + "required": false, + "schema": { + "type": "boolean", + "title": "Subgraphs", + "description": "Whether to include subgraphs in the response." + }, + "name": "subgraphs", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ThreadState" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/state/checkpoint": { + "post": { + "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", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + }, + { + "required": false, + "schema": { + "type": "boolean", + "title": "Subgraphs", + "description": "If true, includes subgraph states." + }, + "name": "subgraphs", + "in": "query" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ThreadStateCheckpointRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ThreadState" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/history": { + "get": { + "tags": [ + "Threads" + ], + "summary": "Get Thread History", + "description": "Get all past states for a thread.", + "operationId": "get_thread_history_threads__thread_id__history_get", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + }, + { + "required": false, + "schema": { + "type": "integer", + "title": "Limit", + "default": 10 + }, + "name": "limit", + "in": "query" + }, + { + "required": false, + "schema": { + "type": "string", + "title": "Before" + }, + "name": "before", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/ThreadState" + }, + "type": "array", + "title": "Response Get Thread History Threads Thread Id History Get" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + }, + "post": { + "tags": [ + "Threads" + ], + "summary": "Get Thread History Post", + "description": "Get all past states for a thread.", + "operationId": "get_thread_history_post_threads__thread_id__history_post", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ThreadStateSearch" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/ThreadState" + }, + "type": "array", + "title": "Response Get Thread History Post Threads Thread Id History Post" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/copy": { + "post": { + "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", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Thread" + } + } + } + }, + "409": { + "description": "Conflict", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}": { + "get": { + "tags": [ + "Threads" + ], + "summary": "Get Thread", + "description": "Get a thread by ID.", + "operationId": "get_thread_threads__thread_id__get", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Thread" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + }, + "delete": { + "tags": [ + "Threads" + ], + "summary": "Delete Thread", + "description": "Delete a thread by ID.", + "operationId": "delete_thread_threads__thread_id__delete", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": {} + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + }, + "patch": { + "tags": [ + "Threads" + ], + "summary": "Patch Thread", + "description": "Update a thread.", + "operationId": "patch_thread_threads__thread_id__patch", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ThreadPatch" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Thread" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/stream": { + "get": { + "tags": [ + "Threads" + ], + "summary": "Join Thread Stream", + "description": "This endpoint streams output in real-time from a thread. The stream will include the output of each run executed sequentially on the thread and will remain open indefinitely. It is the responsibility of the calling client to close the connection.", + "operationId": "join_thread_stream_threads__thread_id__stream_get", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + }, + { + "required": false, + "schema": { + "type": "string", + "title": "Last Event ID", + "description": "The ID of the last event received. Used to resume streaming from a specific point. Pass '-' to resume from the beginning." + }, + "name": "Last-Event-ID", + "in": "header" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "text/event-stream": { + "schema": { + "type": "string", + "description": "The server will send a stream of events in SSE format.\n\n**Example event**:\n\nid: 1\n\nevent: message\n\ndata: {}" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/runs": { + "get": { + "tags": [ + "Thread Runs" + ], + "summary": "List Runs", + "description": "List runs for a thread.", + "operationId": "list_runs_http_threads__thread_id__runs_get", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + }, + { + "required": false, + "schema": { + "type": "integer", + "title": "Limit", + "default": 10 + }, + "name": "limit", + "in": "query" + }, + { + "required": false, + "schema": { + "type": "integer", + "title": "Offset", + "default": 0 + }, + "name": "offset", + "in": "query" + }, + { + "required": false, + "schema": { + "type": "string", + "enum": [ + "pending", + "error", + "success", + "timeout", + "interrupted" + ] + }, + "name": "status", + "in": "query" + }, + { + "required": false, + "schema": { + "type": "array", + "items": { + "type": "string", + "enum": [ + "run_id", + "thread_id", + "assistant_id", + "created_at", + "updated_at", + "status", + "metadata", + "kwargs", + "multitask_strategy" + ] + }, + "title": "Select", + "description": "Specify which fields to return. If not provided, all fields are returned." + }, + "name": "select", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "items": { + "$ref": "#/components/schemas/Run" + }, + "type": "array" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + }, + "post": { + "tags": [ + "Thread Runs" + ], + "summary": "Create Background Run", + "description": "Create a run in existing thread, return the run ID immediately. Don't wait for the final run output.", + "operationId": "create_run_threads__thread_id__runs_post", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RunCreateStateful" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Run" + } + } + }, + "headers": { + "Content-Location": { + "description": "The URL of the run that was created. Can be used to later join the stream.", + "schema": { + "type": "string" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "409": { + "description": "Conflict", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/runs/crons": { + "post": { + "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", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CronCreate" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$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" + } + } + } + } + } + } + }, + "/threads/{thread_id}/runs/stream": { + "post": { + "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", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RunCreateStateful" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "text/event-stream": { + "schema": { + "type": "string", + "description": "The server will send a stream of events in SSE format.\n\n**Example event**:\n\nid: 1\n\nevent: message\n\ndata: {}" + } + } + }, + "headers": { + "Content-Location": { + "description": "The URL of the run that was created. Can be used to later join the stream.", + "schema": { + "type": "string" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "409": { + "description": "Conflict", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/runs/wait": { + "post": { + "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", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RunCreateStateful" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": {} + } + }, + "headers": { + "Content-Location": { + "description": "The URL of the run that was created. Can be used to later join the stream.", + "schema": { + "type": "string" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "409": { + "description": "Conflict", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/runs/{run_id}": { + "get": { + "tags": [ + "Thread Runs" + ], + "summary": "Get Run", + "description": "Get a run by ID.", + "operationId": "get_run_http_threads__thread_id__runs__run_id__get", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + }, + { + "description": "The ID of the run.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Run Id", + "description": "The ID of the run." + }, + "name": "run_id", + "in": "path" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Run" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + }, + "delete": { + "tags": [ + "Thread Runs" + ], + "summary": "Delete Run", + "description": "Delete a run by ID.", + "operationId": "delete_run_threads__thread_id__runs__run_id__delete", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + }, + { + "description": "The ID of the run.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Run Id", + "description": "The ID of the run." + }, + "name": "run_id", + "in": "path" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": {} + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/runs/{run_id}/join": { + "get": { + "tags": [ + "Thread Runs" + ], + "summary": "Join Run", + "description": "Wait for a run to finish.", + "operationId": "join_run_http_threads__thread_id__runs__run_id__join_get", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + }, + { + "description": "The ID of the run.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Run Id", + "description": "The ID of the run." + }, + "name": "run_id", + "in": "path" + }, + { + "required": false, + "schema": { + "type": "boolean", + "title": "Cancel on Disconnect", + "description": "If true, the run will be cancelled if the client disconnects.", + "default": false + }, + "name": "cancel_on_disconnect", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": {} + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/runs/{run_id}/stream": { + "get": { + "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. 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": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + }, + { + "description": "The ID of the run.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Run Id", + "description": "The ID of the run." + }, + "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": { + "200": { + "description": "Success", + "content": { + "text/event-stream": { + "schema": { + "type": "string", + "description": "The server will send a stream of events in SSE format.\n\n**Example event**:\n\nid: 1\n\nevent: message\n\ndata: {}" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/threads/{thread_id}/runs/{run_id}/cancel": { + "post": { + "tags": [ + "Thread Runs" + ], + "summary": "Cancel Run", + "operationId": "cancel_run_http_threads__thread_id__runs__run_id__cancel_post", + "parameters": [ + { + "description": "The ID of the thread.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "name": "thread_id", + "in": "path" + }, + { + "description": "The ID of the run.", + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Run Id", + "description": "The ID of the run." + }, + "name": "run_id", + "in": "path" + }, + { + "required": false, + "schema": { + "type": "boolean", + "title": "Wait", + "default": false + }, + "name": "wait", + "in": "query" + }, + { + "description": "Action to take when cancelling the run. Possible values are `interrupt` or `rollback`. `interrupt` will simply cancel the run. `rollback` will cancel the run and delete the run and associated checkpoints afterwards.", + "required": false, + "schema": { + "type": "string", + "enum": [ + "interrupt", + "rollback" + ], + "title": "Action", + "default": "interrupt" + }, + "name": "action", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": {} + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/runs/crons": { + "post": { + "tags": [ + "Crons (Plus tier)" + ], + "summary": "Create Cron", + "description": "Create a cron to schedule runs on new threads.", + "operationId": "create_cron_runs_crons_post", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CronCreate" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Cron" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$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": { + "$ref": "#/components/schemas/Cron" + }, + "type": "array", + "title": "Response Search Crons Search Post" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/runs/crons/count": { + "post": { + "tags": [ + "Crons (Plus tier)" + ], + "summary": "Count Crons", + "description": "Get the count of crons matching the specified criteria.", + "operationId": "count_crons_runs_crons_count_post", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CronCountRequest" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "type": "integer", + "title": "Count" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/runs/stream": { + "post": { + "tags": [ + "Stateless Runs" + ], + "summary": "Create Run, Stream Output", + "description": "Create a run in a new thread, stream the output.", + "operationId": "stream_run_stateless_runs_stream_post", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RunCreateStateless" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "text/event-stream": { + "schema": { + "type": "string", + "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": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "409": { + "description": "Conflict", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/runs/cancel": { + "post": { + "tags": [ + "Thread Runs" + ], + "summary": "Cancel Runs", + "description": "Cancel one or more runs. Can cancel runs by thread ID and run IDs, or by status filter.", + "operationId": "cancel_runs_post", + "parameters": [ + { + "description": "Action to take when cancelling the run. Possible values are `interrupt` or `rollback`. `interrupt` will simply cancel the run. `rollback` will cancel the run and delete the run and associated checkpoints afterwards.", + "required": false, + "schema": { + "type": "string", + "enum": [ + "interrupt", + "rollback" + ], + "title": "Action", + "default": "interrupt" + }, + "name": "action", + "in": "query" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RunsCancel" + } + } + }, + "required": true + }, + "responses": { + "204": { + "description": "Success - Runs cancelled" + }, + "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/wait": { + "post": { + "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", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RunCreateStateless" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": {} + } + }, + "headers": { + "Content-Location": { + "description": "The URL of the run that was created. Can be used to later join the stream.", + "schema": { + "type": "string" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "409": { + "description": "Conflict", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/runs": { + "post": { + "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", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RunCreateStateless" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": {} + } + }, + "headers": { + "Content-Location": { + "description": "The URL of the run that was created. Can be used to later join the stream.", + "schema": { + "type": "string" + } + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "409": { + "description": "Conflict", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/runs/batch": { + "post": { + "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": { + "$ref": "#/components/schemas/RunBatchCreate" + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": {} + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "409": { + "description": "Conflict", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/runs/crons/{cron_id}": { + "delete": { + "tags": [ + "Crons (Plus tier)" + ], + "summary": "Delete Cron", + "description": "Delete a cron by ID.", + "operationId": "delete_cron_runs_crons__cron_id__delete", + "parameters": [ + { + "required": true, + "schema": { + "type": "string", + "format": "uuid", + "title": "Cron Id" + }, + "name": "cron_id", + "in": "path" + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": {} + } + } + }, + "404": { + "description": "Not Found", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/store/items": { + "put": { + "tags": [ + "Store" + ], + "summary": "Store or update an item.", + "operationId": "put_item", + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/StorePutRequest" + } + } + } + }, + "responses": { + "204": { + "description": "Success" + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + }, + "delete": { + "tags": [ + "Store" + ], + "summary": "Delete an item.", + "operationId": "delete_item", + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/StoreDeleteRequest" + } + } + } + }, + "responses": { + "204": { + "description": "Success" + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + }, + "get": { + "tags": [ + "Store" + ], + "summary": "Retrieve a single item.", + "operationId": "get_item", + "parameters": [ + { + "name": "key", + "in": "query", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "namespace", + "in": "query", + "required": false, + "schema": { + "type": "array", + "items": { + "type": "string" + } + } + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Item" + } + } + } + }, + "400": { + "description": "Bad Request", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/store/items/search": { + "post": { + "tags": [ + "Store" + ], + "summary": "Search for items within a namespace prefix.", + "operationId": "search_items", + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/StoreSearchRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SearchItemsResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/store/namespaces": { + "post": { + "tags": [ + "Store" + ], + "summary": "List namespaces with optional match conditions.", + "operationId": "list_namespaces", + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/StoreListNamespacesRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListNamespaceResponse" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + }, + "/mcp/": { + "post": { + "operationId": "post_mcp", + "summary": "MCP Post", + "description": "Implemented according to the Streamable HTTP Transport specification.\nSends a JSON-RPC 2.0 message to the server.\n\n- **Request**: Provide an object with `jsonrpc`, `id`, `method`, and optional `params`.\n- **Response**: Returns a JSON-RPC response or acknowledgment.\n\n**Notes:**\n- Stateless: Sessions are not persisted across requests.\n", + "parameters": [ + { + "name": "Accept", + "in": "header", + "required": true, + "schema": { + "type": "string", + "enum": [ + "application/json, text/event-stream" + ] + }, + "description": "Accept header must include both 'application/json' and 'text/event-stream' media types." + } + ], + "requestBody": { + "required": true, + "content": { + "application/json": { + "schema": { + "type": "object" + }, + "description": "A JSON-RPC 2.0 request, notification, or response object.", + "example": { + "jsonrpc": "2.0", + "id": "1", + "method": "initialize", + "params": { + "clientInfo": { + "name": "test_client", + "version": "1.0.0" + }, + "protocolVersion": "2024-11-05", + "capabilities": {} + } + } + } + } + }, + "responses": { + "200": { + "description": "Successful JSON-RPC response.", + "content": { + "application/json": { + "schema": { + "type": "object" + } + } + } + }, + "202": { + "description": "Notification or response accepted; no content body." + }, + "400": { + "description": "Bad request: invalid JSON or message format, or unacceptable Accept header." + }, + "405": { + "description": "HTTP method not allowed." + }, + "500": { + "description": "Internal server error or unexpected failure." + } + }, + "tags": [ + "MCP" + ] + }, + "get": { + "operationId": "get_mcp", + "summary": "MCP Get", + "description": "Implemented according to the Streamable HTTP Transport specification.", + "responses": { + "405": { + "description": "GET method not allowed; streaming not supported." + } + }, + "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" + ] + } + }, + "/info": { + "get": { + "tags": [ + "System" + ], + "summary": "Server Information", + "description": "Get server version information, feature flags, and metadata.", + "operationId": "server_info_info_get", + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "type": "object", + "properties": { + "version": { + "type": "string", + "title": "Version", + "description": "LangGraph API version" + }, + "langgraph_py_version": { + "type": "string", + "title": "LangGraph Python Version", + "description": "LangGraph Python library version" + }, + "flags": { + "type": "object", + "title": "Feature Flags", + "description": "Enabled features and capabilities" + }, + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Server deployment metadata" + } + }, + "required": [ + "version", + "langgraph_py_version", + "flags", + "metadata" + ], + "title": "ServerInfo" + } + } + } + } + } + } + }, + "/metrics": { + "get": { + "tags": [ + "System" + ], + "summary": "System Metrics", + "description": "Get system metrics in Prometheus or JSON format for monitoring and observability.", + "operationId": "system_metrics_metrics_get", + "parameters": [ + { + "name": "format", + "in": "query", + "required": false, + "schema": { + "type": "string", + "enum": [ + "prometheus", + "json" + ], + "default": "prometheus", + "title": "Output Format", + "description": "Response format: prometheus (default) or json" + } + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "text/plain": { + "schema": { + "type": "string", + "title": "Prometheus Metrics", + "description": "Metrics in Prometheus exposition format" + } + }, + "application/json": { + "schema": { + "type": "object", + "title": "JSON Metrics", + "description": "Metrics in JSON format including queue stats, worker stats, and HTTP metrics" + } + } + } + } + } + } + }, + "/ok": { + "get": { + "tags": [ + "System" + ], + "summary": "Health Check", + "description": "Check the health status of the server. Optionally check database connectivity.", + "operationId": "health_check_ok_get", + "parameters": [ + { + "name": "check_db", + "in": "query", + "required": false, + "schema": { + "type": "integer", + "enum": [ + 0, + 1 + ], + "default": 0, + "title": "Check Database", + "description": "Whether to check database connectivity (0=false, 1=true)" + } + } + ], + "responses": { + "200": { + "description": "Success", + "content": { + "application/json": { + "schema": { + "type": "object", + "properties": { + "ok": { + "type": "boolean", + "const": true, + "title": "OK", + "description": "Indicates the server is healthy" + } + }, + "required": [ + "ok" + ], + "title": "HealthResponse" + } + } + } + }, + "500": { + "description": "Internal Server Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ErrorResponse" + } + } + } + } + } + } + } + }, + "components": { + "schemas": { + "Assistant": { + "properties": { + "assistant_id": { + "type": "string", + "format": "uuid", + "title": "Assistant Id", + "description": "The ID of the assistant." + }, + "graph_id": { + "type": "string", + "title": "Graph Id", + "description": "The ID of the graph." + }, + "config": { + "properties": { + "tags": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Tags" + }, + "recursion_limit": { + "type": "integer", + "title": "Recursion Limit" + }, + "configurable": { + "type": "object", + "title": "Configurable" + } + }, + "type": "object", + "title": "Config", + "description": "The assistant config." + }, + "context": { + "type": "object", + "title": "Context", + "description": "Static context added to the assistant." + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At", + "description": "The time the assistant was created." + }, + "updated_at": { + "type": "string", + "format": "date-time", + "title": "Updated At", + "description": "The last time the assistant was updated." + }, + "metadata": { + "type": "object", + "title": "Metadata", + "description": "The assistant metadata." + }, + "version": { + "type": "integer", + "title": "Version", + "description": "The version of the assistant" + }, + "name": { + "type": "string", + "title": "Assistant Name", + "description": "The name of the assistant" + }, + "description": { + "type": [ + "string", + "null" + ], + "title": "Assistant Description", + "description": "The description of the assistant" + } + }, + "type": "object", + "required": [ + "assistant_id", + "graph_id", + "config", + "created_at", + "updated_at", + "metadata" + ], + "title": "Assistant" + }, + "AssistantCreate": { + "properties": { + "assistant_id": { + "type": "string", + "format": "uuid", + "title": "Assistant Id", + "description": "The ID of the assistant. If not provided, a random UUID will be generated." + }, + "graph_id": { + "type": "string", + "title": "Graph Id", + "description": "The ID of the graph the assistant should use. The graph ID is normally set in your langgraph.json configuration." + }, + "config": { + "type": "object", + "title": "Config", + "description": "Configuration to use for the graph. Useful when graph is configurable and you want to create different assistants based on different configurations." + }, + "context": { + "type": "object", + "title": "Context", + "description": "Static context added to the assistant." + }, + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Metadata to add to assistant." + }, + "if_exists": { + "type": "string", + "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" + }, + "name": { + "type": "string", + "title": "Name", + "description": "The name of the assistant. Defaults to 'Untitled'." + }, + "description": { + "type": [ + "string", + "null" + ], + "title": "Description", + "description": "The description of the assistant. Defaults to null." + } + }, + "type": "object", + "required": [ + "graph_id" + ], + "title": "AssistantCreate", + "description": "Payload for creating an assistant." + }, + "AssistantPatch": { + "properties": { + "graph_id": { + "type": "string", + "title": "Graph Id", + "description": "The ID of the graph the assistant should use. The graph ID is normally set in your langgraph.json configuration. If not provided, assistant will keep pointing to same graph." + }, + "config": { + "type": "object", + "title": "Config", + "description": "Configuration to use for the graph. Useful when graph is configurable and you want to update the assistant's configuration." + }, + "context": { + "type": "object", + "title": "Context", + "description": "Static context added to the assistant." + }, + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Metadata to merge with existing assistant metadata." + }, + "name": { + "type": "string", + "title": "Name", + "description": "The new name for the assistant. If not provided, assistant will keep its current name." + }, + "description": { + "type": "string", + "title": "Description", + "description": "The new description for the assistant. If not provided, assistant will keep its current description." + } + }, + "type": "object", + "title": "AssistantPatch", + "description": "Payload for updating an assistant." + }, + "AssistantVersionChange": { + "properties": { + "version": { + "type": "integer", + "title": "Version", + "description": "The assistant version." + } + }, + "type": "object", + "title": "AssistantVersionChange", + "description": "Payload for changing the version of an assistant." + }, + "Config": { + "properties": { + "tags": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Tags" + }, + "recursion_limit": { + "type": "integer", + "title": "Recursion Limit" + }, + "configurable": { + "type": "object", + "title": "Configurable" + } + }, + "type": "object", + "title": "Config" + }, + "Cron": { + "properties": { + "cron_id": { + "type": "string", + "format": "uuid", + "title": "Cron Id", + "description": "The ID of the cron." + }, + "assistant_id": { + "type": [ + "string", + "null" + ], + "format": "uuid", + "title": "Assistant Id", + "description": "The ID of the assistant." + }, + "thread_id": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "end_time": { + "type": "string", + "format": "date-time", + "title": "End Time", + "description": "The end date to stop running the cron." + }, + "schedule": { + "type": "string", + "title": "Schedule", + "description": "The schedule to run, cron format." + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At", + "description": "The time the cron was created." + }, + "updated_at": { + "type": "string", + "format": "date-time", + "title": "Updated At", + "description": "The last time the cron was updated." + }, + "user_id": { + "type": [ + "string", + "null" + ], + "title": "User Id", + "description": "The ID of the user." + }, + "payload": { + "type": "object", + "title": "Payload", + "description": "The run payload to use for creating new run." + }, + "next_run_date": { + "type": [ + "string", + "null" + ], + "format": "date-time", + "title": "Next Run Date", + "description": "The next run date of the cron." + }, + "metadata": { + "type": "object", + "title": "Metadata", + "description": "The cron metadata." + } + }, + "type": "object", + "required": [ + "cron_id", + "thread_id", + "end_time", + "schedule", + "created_at", + "updated_at", + "payload" + ], + "title": "Cron", + "description": "Represents a scheduled task." + }, + "CronCreate": { + "properties": { + "schedule": { + "type": "string", + "title": "Schedule", + "description": "The cron schedule to execute this job on." + }, + "end_time": { + "type": "string", + "format": "date-time", + "title": "End Time", + "description": "The end date to stop running the cron." + }, + "assistant_id": { + "anyOf": [ + { + "type": "string", + "format": "uuid", + "title": "Assistant 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" + } + ], + "title": "Input", + "description": "The input to the graph." + }, + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Metadata to assign to the cron job runs." + }, + "config": { + "properties": { + "tags": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Tags" + }, + "recursion_limit": { + "type": "integer", + "title": "Recursion Limit" + }, + "configurable": { + "type": "object", + "title": "Configurable" + } + }, + "type": "object", + "title": "Config", + "description": "The configuration for the assistant." + }, + "context": { + "type": "object", + "title": "Context", + "description": "Static context added to the assistant." + }, + "webhook": { + "type": "string", + "maxLength": 65536, + "minLength": 1, + "format": "uri-reference", + "title": "Webhook", + "description": "Webhook to call after LangGraph API call is done." + }, + "interrupt_before": { + "anyOf": [ + { + "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" + } + ], + "title": "Interrupt After", + "description": "Nodes to interrupt immediately after they get executed." + }, + "multitask_strategy": { + "type": "string", + "enum": [ + "reject", + "rollback", + "interrupt", + "enqueue" + ], + "title": "Multitask Strategy", + "description": "Multitask strategy to use. Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.", + "default": "enqueue" + } + }, + "type": "object", + "required": [ + "assistant_id", + "schedule" + ], + "title": "CronCreate", + "description": "Payload for creating a cron job." + }, + "CronSearch": { + "properties": { + "assistant_id": { + "type": "string", + "format": "uuid", + "title": "Assistant Id", + "description": "The assistant ID or graph name to filter by using exact match." + }, + "thread_id": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The thread ID to search for." + }, + "limit": { + "type": "integer", + "title": "Limit", + "description": "The maximum number of results to return.", + "default": 10, + "minimum": 1, + "maximum": 1000 + }, + "offset": { + "type": "integer", + "title": "Offset", + "description": "The number of results to skip.", + "default": 0, + "minimum": 0 + }, + "sort_by": { + "type": "string", + "title": "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", + "title": "Sort Order", + "description": "The order to sort by.", + "default": "desc", + "enum": [ + "asc", + "desc" + ] + }, + "select": { + "type": "array", + "items": { + "type": "string", + "enum": [ + "cron_id", + "assistant_id", + "thread_id", + "end_time", + "schedule", + "created_at", + "updated_at", + "user_id", + "payload", + "next_run_date", + "metadata", + "now" + ] + }, + "title": "Select", + "description": "Specify which fields to return. If not provided, all fields are returned." + } + }, + "type": "object", + "required": [], + "title": "CronSearch", + "description": "Payload for listing crons" + }, + "CronCountRequest": { + "properties": { + "assistant_id": { + "type": "string", + "format": "uuid", + "title": "Assistant Id", + "description": "The assistant ID or graph name to search for." + }, + "thread_id": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The thread ID to search for." + } + }, + "type": "object", + "title": "CronCountRequest", + "description": "Payload for counting crons" + }, + "GraphSchema": { + "properties": { + "graph_id": { + "type": "string", + "title": "Graph Id", + "description": "The ID of the graph." + }, + "input_schema": { + "type": "object", + "title": "Input Schema", + "description": "The schema for the graph input. Missing if unable to generate JSON schema from graph." + }, + "output_schema": { + "type": "object", + "title": "Output Schema", + "description": "The schema for the graph output. Missing if unable to generate JSON schema from graph." + }, + "state_schema": { + "type": "object", + "title": "State Schema", + "description": "The schema for the graph state. Missing if unable to generate JSON schema from graph." + }, + "config_schema": { + "type": "object", + "title": "Config Schema", + "description": "The schema for the graph config. Missing if unable to generate JSON schema from graph." + }, + "context_schema": { + "type": "object", + "title": "Context Schema", + "description": "The schema for the graph context. Missing if unable to generate JSON schema from graph." + } + }, + "type": "object", + "required": [ + "graph_id", + "state_schema" + ], + "title": "GraphSchema", + "description": "Defines the structure and properties of a graph." + }, + "GraphSchemaNoId": { + "properties": { + "input_schema": { + "type": "object", + "title": "Input Schema", + "description": "The schema for the graph input. Missing if unable to generate JSON schema from graph." + }, + "output_schema": { + "type": "object", + "title": "Output Schema", + "description": "The schema for the graph output. Missing if unable to generate JSON schema from graph." + }, + "state_schema": { + "type": "object", + "title": "State Schema", + "description": "The schema for the graph state. Missing if unable to generate JSON schema from graph." + }, + "config_schema": { + "type": "object", + "title": "Config Schema", + "description": "The schema for the graph config. Missing if unable to generate JSON schema from graph." + }, + "context_schema": { + "type": "object", + "title": "Context Schema", + "description": "The schema for the graph context. Missing if unable to generate JSON schema from graph." + } + }, + "type": "object", + "required": [ + "input_schema", + "output_schema", + "state_schema" + ], + "title": "GraphSchemaNoId", + "description": "Defines the structure and properties of a graph without an ID." + }, + "Subgraphs": { + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/GraphSchemaNoId" + }, + "title": "Subgraphs", + "description": "Map of graph name to graph schema metadata (`input_schema`, `output_schema`, `state_schema`, `config_schema`, `context_schema`)." + }, + "Run": { + "properties": { + "run_id": { + "type": "string", + "format": "uuid", + "title": "Run Id", + "description": "The ID of the run." + }, + "thread_id": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "assistant_id": { + "type": "string", + "format": "uuid", + "title": "Assistant Id", + "description": "The assistant that was used for this run." + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At", + "description": "The time the run was created." + }, + "updated_at": { + "type": "string", + "format": "date-time", + "title": "Updated At", + "description": "The last time the run was updated." + }, + "status": { + "type": "string", + "enum": [ + "pending", + "running", + "error", + "success", + "timeout", + "interrupted" + ], + "title": "Status", + "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" + }, + "multitask_strategy": { + "type": "string", + "enum": [ + "reject", + "rollback", + "interrupt", + "enqueue" + ], + "title": "Multitask Strategy", + "description": "Strategy to handle concurrent runs on the same thread." + } + }, + "type": "object", + "required": [ + "run_id", + "thread_id", + "assistant_id", + "created_at", + "updated_at", + "status", + "metadata", + "kwargs", + "multitask_strategy" + ], + "title": "Run" + }, + "Send": { + "type": "object", + "title": "Send", + "description": "A message to send to a node.", + "properties": { + "node": { + "type": "string", + "title": "Node", + "description": "The node to send the message to." + }, + "input": { + "type": [ + "object", + "array", + "number", + "string", + "boolean", + "null" + ], + "title": "Message", + "description": "The message to send." + } + }, + "required": [ + "node", + "input" + ] + }, + "Command": { + "type": "object", + "title": "Command", + "description": "The command to run.", + "properties": { + "update": { + "type": [ + "object", + "array", + "null" + ], + "title": "Update", + "description": "An update to the state." + }, + "resume": { + "type": [ + "object", + "array", + "number", + "string", + "boolean", + "null" + ], + "title": "Resume", + "description": "A value to pass to an interrupted node." + }, + "goto": { + "anyOf": [ + { + "$ref": "#/components/schemas/Send" + }, + { + "type": "array", + "items": { + "$ref": "#/components/schemas/Send" + } + }, + { + "type": "string" + }, + { + "type": "array", + "items": { + "type": "string" + } + }, + { + "type": "null" + } + ], + "title": "Goto", + "description": "Name of the node(s) to navigate to next or node(s) to be executed with a provided input." + } + } + }, + "RunCreateStateful": { + "properties": { + "assistant_id": { + "anyOf": [ + { + "type": "string", + "format": "uuid", + "title": "Assistant Id" + }, + { + "type": "string", + "title": "Graph Id" + } + ], + "description": "The assistant ID or graph name to run. If using graph name, will default to first assistant created from that graph." + }, + "checkpoint": { + "type": "object", + "title": "Checkpoint", + "description": "The checkpoint to resume from.", + "$ref": "#/components/schemas/CheckpointConfig" + }, + "input": { + "anyOf": [ + { + "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" + } + ], + "title": "Input", + "description": "The input to the graph." + }, + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Metadata to assign to the run." + }, + "config": { + "properties": { + "tags": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Tags" + }, + "recursion_limit": { + "type": "integer", + "title": "Recursion Limit" + }, + "configurable": { + "type": "object", + "title": "Configurable" + } + }, + "type": "object", + "title": "Config", + "description": "The configuration for the assistant." + }, + "context": { + "type": "object", + "title": "Context", + "description": "Static context added to the assistant." + }, + "webhook": { + "type": "string", + "maxLength": 65536, + "minLength": 1, + "format": "uri-reference", + "title": "Webhook", + "description": "Webhook to call after LangGraph API call is done." + }, + "interrupt_before": { + "anyOf": [ + { + "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" + } + ], + "title": "Interrupt After", + "description": "Nodes to interrupt immediately after they get executed." + }, + "stream_mode": { + "anyOf": [ + { + "items": { + "type": "string", + "enum": [ + "values", + "messages", + "messages-tuple", + "tasks", + "checkpoints", + "updates", + "events", + "debug", + "custom" + ] + }, + "type": "array" + }, + { + "type": "string", + "enum": [ + "values", + "messages", + "messages-tuple", + "tasks", + "checkpoints", + "updates", + "events", + "debug", + "custom" + ] + } + ], + "title": "Stream Mode", + "description": "The stream mode(s) to use.", + "default": [ + "values" + ] + }, + "stream_subgraphs": { + "type": "boolean", + "title": "Stream Subgraphs", + "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" + ], + "title": "On Disconnect", + "description": "The disconnect mode to use. Must be one of 'cancel' or 'continue'.", + "default": "cancel" + }, + "feedback_keys": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Feedback Keys", + "description": "Feedback keys to assign to run." + }, + "multitask_strategy": { + "type": "string", + "enum": [ + "reject", + "rollback", + "interrupt", + "enqueue" + ], + "title": "Multitask Strategy", + "description": "Multitask strategy to use. Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.", + "default": "enqueue" + }, + "if_not_exists": { + "type": "string", + "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": "number", + "title": "After Seconds", + "description": "The number of seconds to wait before starting the run. Use to schedule future runs." + }, + "checkpoint_during": { + "type": "boolean", + "title": "Checkpoint During", + "description": "Whether to checkpoint during the run.", + "default": false + } + }, + "type": "object", + "required": [ + "assistant_id" + ], + "title": "RunCreateStateful", + "description": "Payload for creating a run." + }, + "RunBatchCreate": { + "type": "array", + "items": { + "$ref": "#/components/schemas/RunCreateStateless" + }, + "minItems": 1, + "title": "RunBatchCreate", + "description": "Payload for creating a batch of runs." + }, + "RunCreateStateless": { + "properties": { + "assistant_id": { + "anyOf": [ + { + "type": "string", + "format": "uuid", + "title": "Assistant 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" + } + ], + "title": "Input", + "description": "The input to the graph." + }, + "command": { + "anyOf": [ + { + "$ref": "#/components/schemas/Command" + }, + { + "type": "null" + } + ], + "title": "Input", + "description": "The input to the graph." + }, + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Metadata to assign to the run." + }, + "config": { + "properties": { + "tags": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Tags" + }, + "recursion_limit": { + "type": "integer", + "title": "Recursion Limit" + }, + "configurable": { + "type": "object", + "title": "Configurable" + } + }, + "type": "object", + "title": "Config", + "description": "The configuration for the assistant." + }, + "context": { + "type": "object", + "title": "Context", + "description": "Static context added to the assistant." + }, + "webhook": { + "type": "string", + "maxLength": 65536, + "minLength": 1, + "format": "uri-reference", + "title": "Webhook", + "description": "Webhook to call after LangGraph API call is done." + }, + "interrupt_before": { + "anyOf": [ + { + "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" + } + ], + "title": "Interrupt After", + "description": "Nodes to interrupt immediately after they get executed." + }, + "stream_mode": { + "anyOf": [ + { + "items": { + "type": "string", + "enum": [ + "values", + "messages", + "messages-tuple", + "tasks", + "checkpoints", + "updates", + "events", + "debug", + "custom" + ] + }, + "type": "array" + }, + { + "type": "string", + "enum": [ + "values", + "messages", + "messages-tuple", + "tasks", + "checkpoints", + "updates", + "events", + "debug", + "custom" + ] + } + ], + "title": "Stream Mode", + "description": "The stream mode(s) to use.", + "default": [ + "values" + ] + }, + "feedback_keys": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Feedback Keys", + "description": "Feedback keys to assign to run." + }, + "stream_subgraphs": { + "type": "boolean", + "title": "Stream Subgraphs", + "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" + ], + "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" + ], + "title": "On Disconnect", + "description": "The disconnect mode to use. Must be one of 'cancel' or 'continue'.", + "default": "cancel" + }, + "after_seconds": { + "type": "number", + "title": "After Seconds", + "description": "The number of seconds to wait before starting the run. Use to schedule future runs." + }, + "checkpoint_during": { + "type": "boolean", + "title": "Checkpoint During", + "description": "Whether to checkpoint during the run.", + "default": false + } + }, + "type": "object", + "required": [ + "assistant_id" + ], + "title": "RunCreateStateless", + "description": "Payload for creating a run." + }, + "AssistantSearchRequest": { + "properties": { + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Metadata to filter by. Exact match filter for each KV pair." + }, + "graph_id": { + "type": "string", + "title": "Graph Id", + "description": "The ID of the graph to filter by. The graph ID is normally set in your langgraph.json configuration." + }, + "limit": { + "type": "integer", + "title": "Limit", + "description": "The maximum number of results to return.", + "default": 10, + "minimum": 1, + "maximum": 1000 + }, + "offset": { + "type": "integer", + "title": "Offset", + "description": "The number of results to skip.", + "default": 0, + "minimum": 0 + }, + "sort_by": { + "type": "string", + "enum": [ + "assistant_id", + "created_at", + "updated_at", + "name", + "graph_id" + ], + "title": "Sort By", + "description": "The field to sort by." + }, + "sort_order": { + "type": "string", + "enum": [ + "asc", + "desc" + ], + "title": "Sort Order", + "description": "The order to sort by." + }, + "select": { + "type": "array", + "items": { + "type": "string", + "enum": [ + "assistant_id", + "graph_id", + "name", + "description", + "config", + "context", + "created_at", + "updated_at", + "metadata", + "version" + ] + }, + "title": "Select", + "description": "Specify which fields to return. If not provided, all fields are returned." + } + }, + "type": "object", + "title": "AssistantSearchRequest", + "description": "Payload for listing assistants." + }, + "AssistantCountRequest": { + "properties": { + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Metadata to filter by. Exact match filter for each KV pair." + }, + "graph_id": { + "type": "string", + "title": "Graph Id", + "description": "The ID of the graph to filter by. The graph ID is normally set in your langgraph.json configuration." + } + }, + "type": "object", + "title": "AssistantCountRequest", + "description": "Payload for counting assistants." + }, + "AssistantVersionsSearchRequest": { + "properties": { + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Metadata to filter versions by. Exact match filter for each KV pair." + }, + "limit": { + "type": "integer", + "title": "Limit", + "description": "The maximum number of versions to return.", + "default": 10, + "minimum": 1, + "maximum": 1000 + }, + "offset": { + "type": "integer", + "title": "Offset", + "description": "The number of versions to skip.", + "default": 0, + "minimum": 0 + } + }, + "type": "object", + "title": "SearchRequest", + "description": "Payload for listing assistant versions." + }, + "ThreadSearchRequest": { + "properties": { + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Thread metadata to filter on." + }, + "values": { + "type": "object", + "title": "Values", + "description": "State values to filter on." + }, + "status": { + "type": "string", + "enum": [ + "idle", + "busy", + "interrupted", + "error" + ], + "title": "Status", + "description": "Thread status to filter on." + }, + "limit": { + "type": "integer", + "title": "Limit", + "description": "Maximum number to return.", + "default": 10, + "minimum": 1, + "maximum": 1000 + }, + "offset": { + "type": "integer", + "title": "Offset", + "description": "Offset to start from.", + "default": 0, + "minimum": 0 + }, + "sort_by": { + "type": "string", + "enum": [ + "thread_id", + "status", + "created_at", + "updated_at" + ], + "title": "Sort By", + "description": "Sort by field." + }, + "sort_order": { + "type": "string", + "enum": [ + "asc", + "desc" + ], + "title": "Sort Order", + "description": "Sort order." + }, + "select": { + "type": "array", + "items": { + "type": "string", + "enum": [ + "thread_id", + "created_at", + "updated_at", + "metadata", + "config", + "context", + "status", + "values", + "interrupts" + ] + }, + "title": "Select", + "description": "Specify which fields to return. If not provided, all fields are returned." + } + }, + "type": "object", + "title": "ThreadSearchRequest", + "description": "Payload for listing threads." + }, + "ThreadCountRequest": { + "properties": { + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Thread metadata to filter on." + }, + "values": { + "type": "object", + "title": "Values", + "description": "State values to filter on." + }, + "status": { + "type": "string", + "enum": [ + "idle", + "busy", + "interrupted", + "error" + ], + "title": "Status", + "description": "Thread status to filter on." + } + }, + "type": "object", + "title": "ThreadCountRequest", + "description": "Payload for counting threads." + }, + "Thread": { + "properties": { + "thread_id": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread." + }, + "created_at": { + "type": "string", + "format": "date-time", + "title": "Created At", + "description": "The time the thread was created." + }, + "updated_at": { + "type": "string", + "format": "date-time", + "title": "Updated At", + "description": "The last time the thread was updated." + }, + "metadata": { + "type": "object", + "title": "Metadata", + "description": "The thread metadata." + }, + "config": { + "type": "object", + "title": "Config", + "description": "The thread config." + }, + "status": { + "type": "string", + "enum": [ + "idle", + "busy", + "interrupted", + "error" + ], + "title": "Status", + "description": "The status of the thread." + }, + "values": { + "type": "object", + "title": "Values", + "description": "The current state of the thread." + }, + "interrupts": { + "type": "object", + "title": "Interrupts", + "description": "The current interrupts of the thread." + } + }, + "type": "object", + "required": [ + "thread_id", + "created_at", + "updated_at", + "metadata", + "status" + ], + "title": "Thread" + }, + "ThreadCreate": { + "properties": { + "thread_id": { + "type": "string", + "format": "uuid", + "title": "Thread Id", + "description": "The ID of the thread. If not provided, a random UUID will be generated." + }, + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Metadata to add to thread." + }, + "if_exists": { + "type": "string", + "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" + }, + "ttl": { + "type": "object", + "title": "TTL", + "description": "The time-to-live for the thread.", + "properties": { + "strategy": { + "type": "string", + "enum": [ + "delete" + ], + "description": "The TTL strategy. 'delete' removes the entire thread.", + "default": "delete" + }, + "ttl": { + "type": "number", + "description": "The time-to-live in minutes from now until thread should be swept." + } + } + }, + "supersteps": { + "type": "array", + "items": { + "type": "object", + "properties": { + "updates": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ThreadSuperstepUpdate" + } + } + }, + "required": [ + "updates" + ] + } + } + }, + "type": "object", + "title": "ThreadCreate", + "description": "Payload for creating a thread." + }, + "ThreadPatch": { + "properties": { + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Metadata to merge with existing thread metadata." + } + }, + "type": "object", + "title": "ThreadPatch", + "description": "Payload for creating a thread." + }, + "ThreadStateCheckpointRequest": { + "properties": { + "checkpoint": { + "$ref": "#/components/schemas/CheckpointConfig", + "title": "Checkpoint", + "description": "The checkpoint to get the state for." + }, + "subgraphs": { + "type": "boolean", + "title": "Subgraphs", + "description": "Include subgraph states." + } + }, + "required": [ + "checkpoint" + ], + "type": "object", + "title": "ThreadStateCheckpointRequest", + "description": "Payload for getting the state of a thread at a checkpoint." + }, + "ThreadState": { + "properties": { + "values": { + "anyOf": [ + { + "items": { + "type": "object" + }, + "type": "array" + }, + { + "type": "object" + } + ], + "title": "Values" + }, + "next": { + "items": { + "type": "string" + }, + "type": "array", + "title": "Next" + }, + "tasks": { + "items": { + "type": "object", + "properties": { + "id": { + "type": "string", + "title": "Task Id" + }, + "name": { + "type": "string", + "title": "Node Name" + }, + "error": { + "type": "string", + "title": "Error" + }, + "interrupts": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Interrupt" + } + }, + "checkpoint": { + "$ref": "#/components/schemas/CheckpointConfig", + "title": "Checkpoint" + }, + "state": { + "$ref": "#/components/schemas/ThreadState" + } + }, + "required": [ + "id", + "name" + ] + }, + "type": "array", + "title": "Tasks" + }, + "checkpoint": { + "$ref": "#/components/schemas/CheckpointConfig", + "title": "Checkpoint" + }, + "metadata": { + "type": "object", + "title": "Metadata" + }, + "created_at": { + "type": "string", + "title": "Created At" + }, + "parent_checkpoint": { + "type": "object", + "title": "Parent Checkpoint" + }, + "interrupts": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Interrupt" + } + } + }, + "type": "object", + "required": [ + "values", + "next", + "checkpoint", + "metadata", + "created_at" + ], + "title": "ThreadState" + }, + "ThreadStateSearch": { + "properties": { + "limit": { + "type": "integer", + "title": "Limit", + "description": "The maximum number of states to return.", + "default": 1, + "maximum": 1000, + "minimum": 1 + }, + "before": { + "title": "Before", + "description": "Return states before this checkpoint.", + "$ref": "#/components/schemas/CheckpointConfig" + }, + "metadata": { + "type": "object", + "title": "Metadata", + "description": "Filter states by metadata key-value pairs." + }, + "checkpoint": { + "$ref": "#/components/schemas/CheckpointConfig", + "title": "Checkpoint", + "description": "Return states for this subgraph." + } + }, + "type": "object", + "title": "ThreadStateSearch" + }, + "ThreadStateUpdate": { + "properties": { + "values": { + "anyOf": [ + { + "items": {}, + "type": "array" + }, + { + "type": "object" + }, + { + "type": "null" + } + ], + "title": "Values", + "description": "The values to update the state with." + }, + "checkpoint": { + "$ref": "#/components/schemas/CheckpointConfig", + "title": "Checkpoint", + "description": "The checkpoint to update the state of." + }, + "as_node": { + "type": "string", + "title": "As Node", + "description": "Update the state as if this node had just executed." + } + }, + "type": "object", + "title": "ThreadStateUpdate", + "description": "Payload for updating the state of a thread." + }, + "ThreadSuperstepUpdate": { + "properties": { + "values": { + "anyOf": [ + { + "type": "array", + "items": { + "type": "object" + } + }, + { + "type": "object" + }, + { + "type": "null" + } + ] + }, + "command": { + "anyOf": [ + { + "$ref": "#/components/schemas/Command" + }, + { + "type": "null" + } + ], + "description": "The command associated with the update." + }, + "as_node": { + "type": "string", + "description": "Update the state as if this node had just executed." + } + }, + "required": [ + "as_node" + ], + "type": "object" + }, + "ThreadStateUpdateResponse": { + "properties": { + "checkpoint": { + "type": "object", + "title": "Checkpoint" + } + }, + "type": "object", + "title": "ThreadStateUpdateResponse", + "description": "Response for adding state to a thread." + }, + "CheckpointConfig": { + "type": "object", + "title": "CheckpointConfig", + "description": "Checkpoint config.", + "properties": { + "thread_id": { + "type": "string", + "description": "Unique identifier for the thread associated with this checkpoint." + }, + "checkpoint_ns": { + "type": "string", + "description": "Namespace for the checkpoint, used for organization and retrieval." + }, + "checkpoint_id": { + "type": "string", + "description": "Optional unique identifier for the checkpoint itself." + }, + "checkpoint_map": { + "type": "object", + "description": "Optional dictionary containing checkpoint-specific data." + } + } + }, + "StorePutRequest": { + "type": "object", + "required": [ + "namespace", + "key", + "value" + ], + "properties": { + "namespace": { + "type": "array", + "items": { + "type": "string" + }, + "title": "Namespace", + "description": "A list of strings representing the namespace path." + }, + "key": { + "type": "string", + "title": "Key", + "description": "The unique identifier for the item within the namespace." + 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