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OpenLine

For AI agents (llms.txt)

These docs are also published in formats made for language models, following the llms.txt convention:

File Contents
/llms.txt Short overview and an index of the documentation sets.
/llms-full.txt All documentation in one Markdown file.
/llms-small.txt A trimmed version for small context windows.
/openapi.yaml The API as an OpenAPI 3.1 spec.

Using them

Section titled “Using them”
  • Coding assistants (Claude Code, Cursor, Copilot): paste the llms-full.txt URL, or add it as a documentation source, before asking for an integration.
  • Agents that call the API: give them openapi.yaml as their tool definition; most agent frameworks can turn an OpenAPI spec into tools.
  • Client libraries: generate one from openapi.yaml with any OpenAPI generator.

A good prompt to start with:

Read https://manohar-k-reddy.github.io/openline/llms-full.txt. Using the OpenLine API, write a FastAPI service that places a call with stream pointing at a Pipecat bot, and handles the call.disconnected webhook.