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OpenAI-compatible transport for Axio

Project description

axio-transport-openai

PyPI Python License: MIT

OpenAI-compatible streaming transport for axio.

Works with any API that speaks the OpenAI chat completions format — OpenAI itself, Azure OpenAI, local models via Ollama/vLLM/LM Studio, and compatible cloud providers.

Features

  • Full SSE streaming — parses data: chunks incrementally; no waiting for full responses
  • Automatic retry — configurable backoff on transient HTTP errors
  • Tool calling — streams tool-use JSON fragments as ToolInputDelta events
  • aiohttp-based — zero blocking I/O
  • Optional TUI settings screen — install with [tui] extra for a Textual configuration UI

Installation

pip install axio-transport-openai

With TUI settings screen:

pip install "axio-transport-openai[tui]"

Usage

from axio.agent import Agent
from axio.context import MemoryContextStore
from axio_transport_openai import OpenAITransport, OPENAI_MODELS

transport = OpenAITransport(
    api_key="sk-...",
    model=OPENAI_MODELS["gpt-4o-mini"],
    base_url="https://api.openai.com/v1",  # default; override for local models
)

agent = Agent(system="You are a helpful assistant.", tools=[], transport=transport)

async def main() -> None:
    ctx = MemoryContextStore()
    result = await agent.run("What is 2 + 2?", ctx)
    print(result)

Local models (Ollama, vLLM, LM Studio)

from axio.models import ModelSpec, Capability

transport = OpenAITransport(
    api_key="ollama",                        # any non-empty string
    model=ModelSpec(id="llama3.2", capabilities=frozenset({Capability.text})),
    base_url="http://localhost:11434/v1",
)

Streaming events

import asyncio
from axio.agent import Agent
from axio.context import MemoryContextStore
from axio.testing import StubTransport, make_text_response
from axio.events import TextDelta, SessionEndEvent

agent = Agent(
    system="",
    tools=[],
    transport=StubTransport([make_text_response("Why did the chicken cross the road?")]),
)

async def main() -> None:
    ctx = MemoryContextStore()
    async for event in agent.run_stream("Tell me a joke", ctx):
        match event:
            case TextDelta(delta=text):
                print(text, end="", flush=True)
            case SessionEndEvent(total_usage=usage):
                print(f"\n[{usage.input_tokens}in / {usage.output_tokens}out tokens]")

asyncio.run(main())

Plugin registration

When installed, this package registers itself via entry points so axio-tui discovers it automatically:

[project.entry-points."axio.transport"]
openai = "axio_transport_openai:OpenAITransport"

Part of the axio ecosystem

axio · axio-transport-codex · axio-tui

License

MIT

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