integrate-openai-agents

To integrate OpenAI agents with a FastAPI chatbot backend, you wire a FastAPI route that constructs a message array, runs the agent with MCP tools, and saves the resulting conversation. This enables seamless dialogue management and tool execution.

To parse and execute MCP tool calls in a stateless chat API, the backend parses agent tool_calls, executes the MCP tools, and returns results to users. The stateless design links all interactions via a conversation_id.

A stateless FastAPI chat API handles conversation history by loading and saving complete conversation histories using a conversation_id. This maintains context across interactions without keeping server state.

Yes, you can use MCP tools with OpenAI agents in a FastAPI application. The skill guides you to run OpenAI Agents within the FastAPI service to orchestrate tooling, parse tool_calls, and execute MCP tools.

The best way to persist chat conversations using OpenAI agents is to save full conversation histories linked by a conversation_id. This ensures complete context is maintained across stateless API interactions.

Your FastAPI chatbot loses context between tool calls if it does not load and save full conversation histories. Linking interactions with a conversation_id in a stateless design ensures full context persistence.