composio-openai

Adapts Composio tools to OpenAI function calling, for both the Responses API and the Chat Completions API.

Installation

pip install composio composio-openai openai

Set COMPOSIO_API_KEY (create one at https://dashboard.composio.dev/settings) and OPENAI_API_KEY in your environment.

Quickstart

This package exports two providers: OpenAIResponsesProvider for the Responses API and OpenAIProvider for Chat Completions. Both are non-agentic: the model returns tool calls, you execute them with handle_tool_calls, and you feed the results back.

import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

# Create a session for your user
session = composio.create(user_id="user_123")
tools = session.tools()

response = client.responses.create(
    model="gpt-5.2",
    tools=tools,
    input=[
        {
            "role": "user",
            "content": "Send an email to john@example.com with the subject 'Hello' and body 'Hello from Composio!'"
        }
    ]
)

# Agentic loop: keep executing tool calls until the model responds with text
while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.2",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": tool_calls[i].call_id, "output": json.dumps(result)}
            for i, result in enumerate(results)
        ]
    )

# Print final response
for item in response.output:
    if item.type == "message":
        print(item.content[0].text)

Chat Completions

OpenAIProvider targets client.chat.completions.create and is the Composio SDK default, so Composio() with no provider uses it. The loop is the same shape: call handle_tool_calls(response=response, session=session), append the results as tool messages, and call the API again. Pass user_id instead for tools fetched with tools.get(). See the docs page for the full example.

Release files for composio-openai 0.23.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for composio-openai 0.23.0
File	Size	Uploaded
composio_openai-0.23.0.tar.gz	2.9 kB	Sep 23, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for composio-openai 0.23.0
File	Interpreter	ABI	Platform	Reset
composio_openai-0.23.0-py3-none-any.whl 3.1 kB Sep 23, 2026	Python 3	none	any	Details

Total release size: 6.0 kB

Release files / composio_openai-0.23.0.tar.gz

Download URL	composio_openai-0.23.0.tar.gz
Size	2.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`155b7f6393b6a337231f93b46945ad51b287bf2d8e30fe007d88663e25c79f33`
BLAKE2b-256 checksum How to use checksums	`9be868870520535652a630b2329a905200cc2d3c316f0f69a05c17a012f49020`
Upload date	Sep 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / composio_openai-0.23.0-py3-none-any.whl

Download URL	composio_openai-0.23.0-py3-none-any.whl
Size	3.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`e8a5db7343595c92fc0d6557c8e039c99eceeae5852a9e8f959fcbe6fd4eac54`
BLAKE2b-256 checksum How to use checksums	`6dd9f42aa3b759fc0c0b385c59d903e8a23095a43de929e576ccfd69e8f783d1`
Upload date	Sep 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.14`