SDK Integration

AxonFlow provides official SDKs for seamless integration with your applications.

Available SDKs

SDK	Package	Status
Python	axonflow	Stable
TypeScript	@axonflow/sdk	Stable
Go	github.com/getaxonflow/axonflow-go	Stable
Java	com.axonflow:axonflow-sdk	Stable

Integration Modes

AxonFlow supports two integration modes depending on your architecture:

Mode	Description	Best For
Proxy Mode	Route LLM calls through AxonFlow	Quick setup, full governance
Gateway Mode	Pre-flight policy checks, direct LLM calls	Low latency, existing infrastructure

Not sure which to choose? See Choosing a Mode.

Quick Example (Python)

Async Usage (Recommended)

import asyncio
from axonflow import AxonFlow

async def main():
    async with AxonFlow(
        agent_url="https://your-agent.axonflow.com",
        client_id="your-client-id",
        client_secret="your-client-secret"
    ) as client:
        # Execute a governed query
        response = await client.execute_query(
            user_token="user-jwt-token",
            query="What is AI governance?",
            request_type="chat"
        )
        print(response.data)

asyncio.run(main())

Sync Usage

from axonflow import AxonFlow

with AxonFlow.sync(
    agent_url="https://your-agent.axonflow.com",
    client_id="your-client-id",
    client_secret="your-client-secret"
) as client:
    response = client.execute_query(
        user_token="user-jwt-token",
        query="What is AI governance?",
        request_type="chat"
    )
    print(response.data)

Gateway Mode (Lowest Latency)

Gateway Mode lets you make direct LLM calls while AxonFlow handles governance:

from axonflow import AxonFlow

async with AxonFlow(
    agent_url="https://your-agent.axonflow.com",
    client_id="your-client-id",
    client_secret="your-client-secret"
) as client:
    # Pre-check: Get policy approval before LLM call
    context = await client.get_policy_approved_context(
        prompt="Analyze this data",
        request_type="chat"
    )

    # Make your own LLM call directly
    llm_response = await your_llm_call(context.approved_prompt)

    # Audit: Log the response for compliance
    await client.audit_llm_response(
        context_id=context.context_id,
        response=llm_response
    )

Authentication

All SDKs support authentication via:

• Client ID + Secret - For server-to-server communication
• User Tokens - For per-user audit trails

See Authentication for details.

Next Steps

• Choose your SDK and follow the getting started guide
• Review Integration Modes to pick the right architecture
• Explore Framework Integration for LangChain, CrewAI, etc.