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AskTheApi Team Builder

@AlexAlbala

About AskTheApi Team Builder

Agent network builder for communicating with openapi apis. Based in autogen

Basic information

Category

Other

License

MIT license

Runtime

python

Transports

stdio

Publisher

AlexAlbala

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

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Overview

What is AskTheApi Team Builder?

A high-level Python library for building and managing networks of autonomous agents that collaborate to solve complex tasks. It integrates with APIs defined using the OpenAPI standard and provides a clean, type-safe interface for creating, configuring, and running teams of agents.

How to use AskTheApi Team Builder?

Install with pip install asktheapi-team-builder. Create agents from an OpenAPI spec using APISpecHandler, then build a team with TeamBuilder (e.g., model "gpt-4") and run it with streaming. Optionally expose agent teams as MCP endpoints via MCPService with SSE transport.

Key features of AskTheApi Team Builder

  • Effortless creation of agent networks from OpenAPI specs
  • Team-based collaboration with automatic coordination via a planning agent
  • Real-time streaming of agent interactions
  • Built-in HTTP client for calling external APIs
  • Type safety with Pydantic models
  • MCP (Model Control Protocol) support for exposing teams as endpoints

Use cases of AskTheApi Team Builder

  • Automating multi-step workflows that involve several external APIs
  • Building conversational agents that query multiple data sources
  • Orchestrating API calls to answer complex, composite user queries
  • Rapidly prototyping autonomous agent teams from existing OpenAPI specifications

FAQ from AskTheApi Team Builder

What makes AskTheApi Team Builder different from using AutoGen directly?

The library provides a higher-level interface built on top of Microsoft's AutoGen, reducing boilerplate for creating and running agent teams from OpenAPI specs.

What are the runtime requirements?

Python 3.x (see badges for supported versions) and a supported LLM model (e.g., GPT-4) configured via TeamBuilder.

Where does my data live?

Data is handled by the user’s application. The library does not store or forward data—it processes OpenAPI specs and messages you provide.

What transports and authentication does the MCP service support?

The MCP service uses Server-Sent Events (SSE) transport and accepts custom HTTP headers for authentication (e.g., bearer tokens).

Are there any known limits?

The README does not mention any specific limits.

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