abto (Python)

The ABTO Python Server SDK is a thin Gateway helper. It carries request-scoped x-abto-* identifiers with contextvars and injects them into outbound provider requests through httpx. The Gateway owns tokens, cost, latency, request_id, and variant assignment.

This package is the Python counterpart of the Node.js @abto-app/calling package. npm and PyPI releases remain separate for each language.

Install

pip install abto                 # Core context and header helpers
pip install "abto[openai]"       # OpenAI and httpx integration

Quick start

import os

from abto import init_abto

abto = init_abto(
    api_key=os.environ["ABTO_API_KEY"],
    gateway_base_url="https://gateway.abto.app/v1",
    provider_keys={
        "openai": os.environ["OPENAI_API_KEY"],
        # Include candidate keys for every provider the project may route to.
        # "anthropic": os.environ["ANTHROPIC_API_KEY"],
        # "gemini": os.environ["GEMINI_API_KEY"],
    },
)
openai = abto.openai()


def generate(device_id: str, trace_id: str):
    with abto.with_context(
        device_id=device_id,
        node_key="resume.make",
        trace_id=trace_id,
    ):
        return openai.chat.completions.create(
            model="gpt-4.1",
            messages=[{"role": "user", "content": "Create a resume draft"}],
        )

Direct httpx usage

import httpx
from abto import with_context

client = httpx.Client(event_hooks=abto.httpx_event_hooks())

with with_context(device_id="d1", node_key="resume.make"):
    client.post("https://gateway.abto.app/v1/...")  # Adds x-abto-* headers

Header contract

x-abto-device-id    optional; without it, user analytics and sticky assignment are unavailable
x-abto-node-key     required; "feature.node" dot notation, for example resume.make
traceparent         derived from trace_id; Gateway-deferred in Round 1
x-abto-key-openai   candidate provider key; add only the providers the project may route to
Authorization       required; Bearer ABTO Calling Key

The Gateway maps the Calling Key to tenant_id, creates request_id in the x-abto-request-id response header, assigns variant_id, and removes x-abto-* headers before provider egress.

OpenAI direct fallback during Gateway outages

When an OpenAI provider key is available, direct fallback is enabled by default for Gateway failures that can be classified safely. It sends the original Chat Completions body and model to OpenAI and does not reproduce the Gateway's provider or model policy.

from abto import OpenAIDirectFallbackOptions, init_abto

abto = init_abto(
    api_key=os.environ["ABTO_API_KEY"],
    provider_keys={
        "openai": os.environ["OPENAI_API_KEY"],
        "anthropic": os.getenv("ANTHROPIC_API_KEY"),
        "gemini": os.getenv("GEMINI_API_KEY"),
    },
    fallback=OpenAIDirectFallbackOptions(
        timeout_seconds=30,
        on_timeout=False,
    ),
)

Default behavior matches the JavaScript Calling SDK:

• DNS, connection-establishment, or TLS failure; pre-Gateway edge 502, 503, or 504; or pre-provider admission 503: send the current request directly to OpenAI.
• Gateway timeout, ambiguous disconnect, or interrupted response body: return the original error and keep the direct circuit closed.
• on_timeout=True: replay the timed-out request directly, explicitly accepting duplicate execution and billing risk.
• Provider, transport, or internal error, deterministic 4xx or 429: do not fall back for the current request.

The direct path sends only the OpenAI key and OpenAI-safe headers such as accept, content-type, idempotency-key, openai-*, and x-stainless-*. It removes ABTO headers, the Calling Key, cookies, proxy credentials, and custom Gateway headers. Direct calls bypass Gateway policy, ABTO telemetry, and request_id.

The ABTO transport performs at most one Gateway decision and one direct send per official OpenAI SDK attempt. It returns direct responses and errors to the official SDK, which remains the only retry authority.

Use init_abto(..., fallback=False) to disable direct fallback.

OpenAI client options

abto.openai(**kwargs) forwards official OpenAI options such as max_retries, timeout, organization, project, default_headers, and default_query unchanged, except for the three values ABTO must own:

• api_key is the ABTO Calling Key.
• base_url is the configured ABTO Gateway URL.
• http_client is the ABTO routing client that enforces Gateway/direct-fallback boundaries.

Passing any of those three reserved arguments raises ValueError instead of silently discarding it.

timeout_seconds is an inactivity ceiling for each Gateway connection-pool wait, connect, write, and response-header-read stage. The body after the headers and direct requests retain abto.openai(timeout=...).

There is no fallback retry count. abto.openai(max_retries=...) alone controls official OpenAI SDK retries and remains at the official default when omitted.

openai = abto.openai(max_retries=2)

max_retries keeps the official OpenAI meaning: retries after the initial request. 0 means one total attempt and 1 means two. OpenAI and model-provider error policy belongs to the customer application and the official OpenAI SDK.

Anthropic and Gemini keys remain Gateway routing candidates. This SDK does not provide native direct fallback for those providers.

See the full Python guide.

Public API

• init_abto(api_key=None, gateway_base_url=None, provider_keys=None, fallback=None) -> Abto
• abto.openai(**kwargs)
• OpenAIDirectFallbackOptions
• abto.with_context(device_id=?, node_key=?, trace_id=?)
• abto.get_headers(ctx=None) / abto.create_trace_id() / abto.httpx_event_hooks()
• Lower-level helpers: with_context, get_context, get_headers, create_trace_id, create_traceparent, abto_request_hook, ABTO_HEADER, and AbtoContext

Development

pip install pytest
pytest