axio-transport-openai 0.9.1

OpenAI-compatible transport for Axio

axio-transport-openai

OpenAI-compatible streaming transport for axio.

Works with any API that speaks the OpenAI chat completions format - OpenAI itself, local models via Ollama/vLLM/LM Studio, Nebius AI Studio, OpenRouter, and any other compatible provider.

Features

• Full SSE streaming - parses data: chunks incrementally; no waiting for full responses
• Automatic retry - configurable backoff on 429 and 5xx responses; honours Retry-After header
• Tool calling - streams tool-use JSON fragments as ToolInputDelta events; parallel tool calls supported
• Reasoning support - <think>...</think> blocks emitted as ReasoningDelta events
• Embeddings - embed() method for models that support /v1/embeddings
• Sub-transports - NebiusTransport, OpenRouterTransport, and OpenAICompatibleTransport for common providers
• 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 screens:

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

Usage

import asyncio
import aiohttp
from axio.agent import Agent
from axio.context import MemoryContextStore
from axio.events import TextDelta
from axio_transport_openai import OpenAITransport, OPENAI_MODELS

async def main() -> None:
    async with aiohttp.ClientSession() as session:
        transport = OpenAITransport(
            api_key="sk-...",
            model=OPENAI_MODELS["gpt-4.1-mini"],
            session=session,
        )
        agent = Agent(system="You are a helpful assistant.", tools=[], transport=transport)
        ctx = MemoryContextStore()
        async for event in agent.run_stream("What is 2 + 2?", ctx):
            if isinstance(event, TextDelta):
                print(event.delta, end="", flush=True)
        print()

asyncio.run(main())

The session parameter is required for streaming. Create an aiohttp.ClientSession in an async context and pass it to the transport.

Environment variables

Variable	Description
OPENAI_API_KEY	Default API key if not passed to the constructor
OPENAI_BASE_URL	Default base URL (falls back to https://api.openai.com/v1)

Local models (Ollama, vLLM, LM Studio)

from axio.models import ModelSpec, Capability
from axio_transport_openai import OpenAITransport

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())

Configuration reference

OpenAITransport is a dataclass with the following fields:

Field	Type	Default	Description
name	str	"OpenAI"	Display name (used by TUI)
api_key	str	$OPENAI_API_KEY	API key
base_url	str	$OPENAI_BASE_URL or https://api.openai.com/v1	API base URL
model	ModelSpec	OPENAI_MODELS["gpt-4.1-mini"]	Active model
models	ModelRegistry	all OPENAI_MODELS	Available models
session	aiohttp.ClientSession | None	None	HTTP session (required for streaming)
max_retries	int	10	Maximum retry attempts on 429 / 5xx
retry_base_delay	float	5.0	Base delay in seconds for exponential backoff

Models

Model ID	Context	Max output	Capabilities	Price (in/out per M tokens)
gpt-5.4	1,050,000	128,000	text, vision, tool use	$10 / $40
gpt-5.4-mini	400,000	128,000	text, vision, tool use	$1.50 / $6
gpt-5.4-nano	400,000	128,000	text, tool use	$0.30 / $1.20
gpt-5.1	400,000	128,000	text, vision, tool use	$5 / $20
gpt-5	400,000	128,000	text, vision, tool use	$5 / $20
gpt-5-mini	400,000	128,000	text, vision, tool use	$1.25 / $5
gpt-5-nano	400,000	128,000	text, tool use	$0.25 / $1
o4-mini	200,000	100,000	text, reasoning, tool use	$1.10 / $4.40
o3	200,000	100,000	text, reasoning, tool use	$10 / $40
o3-mini	200,000	100,000	text, reasoning, tool use	$1.10 / $4.40
gpt-4.1	1,047,576	32,768	text, vision, tool use	$2 / $8
gpt-4.1-mini	1,047,576	32,768	text, vision, tool use	$0.40 / $1.60
gpt-4.1-nano	1,047,576	32,768	text, tool use	$0.10 / $0.40
gpt-4o	128,000	16,384	text, vision, tool use	$2.50 / $10
gpt-4o-mini	128,000	16,384	text, vision, tool use	$0.15 / $0.60

The default model is gpt-4.1-mini.

fetch_models()

await transport.fetch_models() resets transport.models to the built-in OPENAI_MODELS registry. It does not make a network request. Override model directly to switch the active model.

Serialisation

OpenAITransport supports JSON round-trip for storing and restoring configuration:

# Serialise
data = transport.to_dict()   # -> {"name": ..., "base_url": ..., "api_key": ..., "models": [...]}

# Restore
transport = OpenAITransport.from_dict(data, session=session)

from_dict falls back to OPENAI_API_KEY and OPENAI_BASE_URL environment variables if the stored values are empty.

Sub-transports

NebiusTransport

NebiusTransport connects to Nebius AI Studio (https://api.tokenfactory.nebius.com/v1). It inherits all retry and streaming behaviour from OpenAITransport.

from axio_transport_openai.nebius import NebiusTransport

transport = NebiusTransport(
    api_key="...",          # or set NEBIUS_API_KEY
    session=session,
)

Field	Default
name	"Nebius AI Studio"
api_key	$NEBIUS_API_KEY
base_url	https://api.tokenfactory.nebius.com/v1
model	deepseek-ai/DeepSeek-V3-0324

fetch_models() queries /v1/models?verbose=true and populates transport.models with all models returned by the API, including their context windows, output limits, capabilities (text, vision, tool use, embedding), and pricing.

OpenRouterTransport

OpenRouterTransport connects to OpenRouter (https://openrouter.ai/api/v1), which provides a unified API over hundreds of models from many providers.

from axio_transport_openai.openrouter import OpenRouterTransport

transport = OpenRouterTransport(
    api_key="...",          # or set OPENROUTER_API_KEY
    session=session,
)

Field	Default
name	"OpenRouter"
api_key	$OPENROUTER_API_KEY
base_url	https://openrouter.ai/api/v1
model	google/gemini-2.5-pro-preview

fetch_models() queries /v1/models and populates transport.models with all models returned by the API, including their context windows, output limits, capabilities (text, vision, tool use, embedding), and pricing.

OpenAICompatibleTransport

OpenAICompatibleTransport is a thin subclass of OpenAITransport for user-defined custom providers. Instances are created by the TUI hub screen and persisted to ~/.local/share/axio/openai-custom.json. You can also instantiate them directly:

from axio.models import ModelSpec, ModelRegistry, Capability
from axio_transport_openai.custom import OpenAICompatibleTransport

transport = OpenAICompatibleTransport(
    name="localai",
    base_url="http://localhost:8080/v1",
    api_key="",
    models=ModelRegistry([
        ModelSpec(
            id="llama3.2",
            context_window=131_072,
            max_output_tokens=4_096,
            capabilities=frozenset({Capability.text, Capability.tool_use}),
        )
    ]),
    session=session,
)

fetch_models() is a no-op for this transport - the model list is provided at construction time.

The JSON configuration format used by the TUI is:

[
  {
    "name": "localai",
    "base_url": "http://localhost:8080/v1",
    "api_key": "",
    "models": [
      {
        "id": "llama3.2",
        "context_window": 131072,
        "max_output_tokens": 4096,
        "capabilities": ["text", "tool_use"],
        "input_cost": 0.0,
        "output_cost": 0.0
      }
    ]
  }
]

Plugin registration

When installed, this package registers all four transports via entry points so axio-tui discovers them automatically:

[project.entry-points."axio.transport"]
openai         = "axio_transport_openai:OpenAITransport"
nebius         = "axio_transport_openai.nebius:NebiusTransport"
openrouter     = "axio_transport_openai.openrouter:OpenRouterTransport"
openai-custom  = "axio_transport_openai.custom:OpenAICompatibleTransport"

Part of the axio ecosystem

axio · axio-transport-codex · axio-transport-anthropic · axio-tui

License

MIT