alltoken
Official Python SDK for AllToken — one API for OpenAI, Anthropic, and 100+ models.
pip install alltoken
Requires Python 3.10+.
Quick start
from alltoken import AllToken
client = AllToken(api_key="...") # or os.environ["ALLTOKEN_API_KEY"]
# OpenAI-compatible surface (maps to /v1)
resp = client.openai.raw.post(
"/chat/completions",
json={
"model": "gpt-4o",
"messages": [{"role": "user", "content": "Hello!"}],
},
)
print(resp.json())
# Anthropic-compatible surface (maps to /anthropic)
resp = client.anthropic.raw.post(
"/messages",
json={
"model": "claude-sonnet-4",
"max_tokens": 1024,
"messages": [{"role": "user", "content": "Hello!"}],
},
)
print(resp.json())
The same API key works for both surfaces. Model catalog: alltoken.ai/models.
Configuration
AllToken(
api_key="...", # required
base_url="https://api.alltoken.ai", # optional, defaults to production
default_headers={"X-My-Tag": "a"}, # optional, merged into every request
)
API surface
| Field | Spec | Base URL |
|---|---|---|
client.openai.raw |
chat.yml (OpenAI-compatible) |
https://api.alltoken.ai/v1 |
client.anthropic.raw |
anthropic.yml |
https://api.alltoken.ai/anthropic |
.raw is a pre-configured httpx.Client — base URL + auth are set, call .get() / .post() / .stream() directly. Pydantic models for request/response bodies are generated from the OpenAPI specs into alltoken.generated.chat and alltoken.generated.anthropic.
Status
v0.1.0 — Scaffold. Pydantic models are generated from the spec, the wrapper surface is minimal. Expect breaking changes in 0.x. Ergonomic helpers (client.chat.completions.create(...), async streaming iterators, retries, etc.) are coming in 0.2.x.
Contributing / Local development
# Clone megaopenrouter as a sibling (for the OpenAPI specs)
git clone git@gitlab.53site.com:ai-innovation-lab/megaopenrouter.git ../megaopenrouter
# Install with dev deps
pip install -e ".[dev]"
# Regenerate pydantic models from specs
python scripts/generate.py
# Test + lint
pytest
ruff check
mypy .
Generated models live in src/alltoken/generated/{chat,anthropic}.py — these are committed so users who install from PyPI don't need to run codegen.
License
1 maintainer
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