enroute
Unified LLM routing with first-class traces, environments, and benchmarks.
enroute is for builders putting AI into products. Start with an OpenRouter-style multi-provider router. Keep going with the thing OpenRouter does not give you: a single Trace object shared by production traffic and RL-style environments — so you can understand prompts, build datasets, run benchmarks, and eventually autoroute to the best model for your data.
flowchart LR
App[Your app] --> Client[Enroute]
Env[Environment] --> Client
Client --> Trace[Trace]
Trace --> Dataset[Dataset]
Dataset --> Bench[Benchmark]
Install
pip install enroute
# optional OpenTelemetry exporter
pip install "enroute[otel]"
Quickstart
Set ENROUTE_API_KEY, then use the client like the OpenAI SDK:
export ENROUTE_API_KEY=enroute-...
from enroute import Enroute, Message
client = Enroute()
response = client.chat(
model="openai/gpt-4o-mini",
messages=[Message(role="user", content="Hello from enroute")],
models=["anthropic/claude-sonnet-4"], # optional fallbacks
)
print(response.text)
client.close()
# Traces → .enroute/traces.jsonl
Optional BYOK (pass your own upstream keys explicitly):
import os
from enroute import Enroute
client = Enroute(providers={"openai": os.environ["OPENAI_API_KEY"]})
Four pillars
| Pillar | What you get |
|---|---|
| Router | Sync/async chat + streaming, fallbacks, retries, cost accounting, model catalog |
| Tracing | JSONL / SQLite / OTel sinks, redaction, sampling, late labels, attempt history |
| Environments | Tasks + tools + scorers → scored traces (the RL harness) |
| Benchmarks | Environment × models → markdown/JSON report with win rates |
Environments in 30 seconds
from enroute import Environment, TaskData
env = Environment(name="support-triage", version="0.1.0")
@env.tool
def lookup_order(order_id: str) -> dict:
"""Look up an order."""
return {"status": "shipped"}
@env.scorer(weight=1.0)
def ok(rollout) -> float:
return 1.0 if "shipped" in (rollout.response.text or "").lower() else 0.0
@env.tasks
def tasks():
yield TaskData(task_id="1", input="Where is order A?")
rollout = env.rollout(next(env.iter_tasks()), client, model="openai/gpt-4o-mini")
print(rollout.trace.outcome)
Docs
Full documentation: concept pages, guides, and generated API reference.
- Trace schema stability:
schemas/trace.v1.json - Routing walkthrough:
examples/routing/(also under docs → Guides)
Development
uv sync --group dev --group docs
uv run pytest -m "not live"
uv run ruff check .
uv run mypy src/enroute
uv run mkdocs build --strict
License
Apache-2.0
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file enroute-0.1.0.tar.gz.
File metadata
- Download URL: enroute-0.1.0.tar.gz
- Upload date:
- Size: 61.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c3c7089a2022d0f8ac47ca2cb72cda5a9f1585ea815be3f67eac7a5124d06a39
|
|
| MD5 |
7209e66c3738328460e717a1968e8f7a
|
|
| BLAKE2b-256 |
ce3678601e2b97f2549bb30b462b52e2a907b1b5420ad12909921de996d042c8
|
Provenance
The following attestation bundles were made for enroute-0.1.0.tar.gz:
Publisher:
publish.yml on taylorlast/enroute
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
enroute-0.1.0.tar.gz -
Subject digest:
c3c7089a2022d0f8ac47ca2cb72cda5a9f1585ea815be3f67eac7a5124d06a39 - Sigstore transparency entry: 2456527672
- Sigstore integration time:
-
Permalink:
taylorlast/enroute@521326bd1dade2c9e134d9bb6466c6e8a73e1a88 -
Branch / Tag:
refs/tags/v0.1.0 - Owner: https://github.com/taylorlast
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@521326bd1dade2c9e134d9bb6466c6e8a73e1a88 -
Trigger Event:
push
-
Statement type:
File details
Details for the file enroute-0.1.0-py3-none-any.whl.
File metadata
- Download URL: enroute-0.1.0-py3-none-any.whl
- Upload date:
- Size: 60.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b72f7e01a42ea876e4571710d8f5c39aea730be2d0861e8bfb16b308d80aedd3
|
|
| MD5 |
77bbbe32b3d3466f7250ef79b4556a5e
|
|
| BLAKE2b-256 |
4e92b86f4f082083f79a1470394d8c9614fe958b6cfe9f084376e04b910cfc02
|
Provenance
The following attestation bundles were made for enroute-0.1.0-py3-none-any.whl:
Publisher:
publish.yml on taylorlast/enroute
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
enroute-0.1.0-py3-none-any.whl -
Subject digest:
b72f7e01a42ea876e4571710d8f5c39aea730be2d0861e8bfb16b308d80aedd3 - Sigstore transparency entry: 2456527884
- Sigstore integration time:
-
Permalink:
taylorlast/enroute@521326bd1dade2c9e134d9bb6466c6e8a73e1a88 -
Branch / Tag:
refs/tags/v0.1.0 - Owner: https://github.com/taylorlast
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@521326bd1dade2c9e134d9bb6466c6e8a73e1a88 -
Trigger Event:
push
-
Statement type:
