whatifd-langfuse 0.1.0

Langfuse `TraceSource` adapter for whatifd. Phase 4B.1 of the v0.1 plan.

whatifd-langfuse

Langfuse TraceSource adapter for whatifd. Phase 4B.1 of the v0.1 plan.

Install

pip install whatifd-langfuse

Pulls whatifd and langfuse>=4.5.1,<5.0 (industry-standard library pinning: lower bound + major-version cap).

Usage

import os
from langfuse.api import LangfuseAPI
from whatifd_langfuse import LangfuseTraceSource

api = LangfuseAPI(
    base_url=os.environ["LANGFUSE_HOST"],
    username=os.environ["LANGFUSE_PUBLIC_KEY"],
    password=os.environ["LANGFUSE_SECRET_KEY"],
)

source = LangfuseTraceSource(
    api=api,
    cohort_classifier=lambda trace: "failure" if "failed" in (trace.tags or []) else "baseline",
    page_limit=50,
    max_traces=200,  # cap iteration so a fixture run can't drain a production project
)

for raw in source.iter_traces():
    print(raw.trace_id, raw.cohort)

Cardinal alignment

• #5 Sensitive at the boundary: every text field that carries user content (user_message, original_response) is wrapped at construction. Trace input / output may be string, dict, or list per Langfuse's typed-Any field; the adapter projects to a canonical JSON string (sort_keys=True for determinism) and wraps.
• #9 orchestration, not compute: streaming pagination is I/O-bound; iter_traces is a generator, never a list build-up.
• #10 statistical claims: cluster_key_support() returns an empty available_keys tuple. Surfacing Langfuse user_id / session_id as cluster keys is an inferential commitment that v0.1 does NOT make; v0.2+ may add explicit per-field opt-in.

Testing

The package ships two test surfaces:

1. Mocked-client conformance (tests/test_conformance.py) — runs the parent repo's TraceSourceConformance harness against an in-file fake LangfuseAPI. No network. CI runs this on every change.

2. Recorded real-network smoke (tests/test_recorded_smoke.py) — runs against a real Langfuse instance using credentials in environment variables. The first run records HTTP cassettes via pytest-recording; subsequent runs replay from the cassette. CI replays from the committed cassette; recording is a local dev step.

Recording cassettes (one-time, by a contributor with credentials)

LANGFUSE_HOST=https://cloud.langfuse.com \
LANGFUSE_PUBLIC_KEY=pk-... \
LANGFUSE_SECRET_KEY=sk-... \
uv run pytest packages/whatifd-langfuse/tests/test_recorded_smoke.py --record-mode=once

The cassette is committed under tests/cassettes/. Sensitive headers (Authorization, x-langfuse-public-key) are filtered out by the vcr_config fixture.

Contributor setup

This package lives in the parent whatifd monorepo as a uv workspace member. From the repo root:

uv sync --all-extras --dev --group workspace

The --group workspace flag pulls the in-tree whatifd-langfuse editable install via PEP 735 dependency groups (uv-native). Without it, uv sync --all-extras --dev installs the rest of the dev environment but leaves this package out, and pytest packages/whatifd-langfuse/tests/ fails with ModuleNotFoundError: whatifd_langfuse.

Plain pip install ".[dev]" will NOT work for the workspace package — pip ignores PEP 735 groups (that's deliberate; the workspace dep can't be resolved from PyPI because it isn't published yet). Use uv for development setup; pip-only consumers install the published whatifd-langfuse from PyPI once it lands.

Stability

Pre-1.0; the adapter follows whatifd's v0.1 stability contract. The Langfuse SDK upper-cap (<5.0) reserves the next major for a coordinated migration if Langfuse changes the LangfuseAPI.trace.list(...) shape.