This release is a pre-release and may not be stable for production use.
Runlet Harness
Application integration helpers for Runlet.
runlet-harness keeps third-party adapters, environment-based configuration,
and background delivery concerns outside the small Runlet runtime core.
Install
Base package:
pip install runlet-harness
With Langfuse support:
pip install "runlet-harness[langfuse]"
Langfuse
Cloud configuration:
LANGFUSE_PUBLIC_KEY=pk-lf-...
LANGFUSE_SECRET_KEY=sk-lf-...
Self-hosted configuration:
LANGFUSE_PUBLIC_KEY=pk-lf-...
LANGFUSE_SECRET_KEY=sk-lf-...
LANGFUSE_BASE_URL=https://langfuse.example.com
Usage:
from runlet import CompositeEventSink, InMemoryObserver, Runtime
from runlet_harness.observability import LangfuseEventSink
observer = InMemoryObserver()
langfuse = LangfuseEventSink.from_env()
sinks = [observer]
if langfuse is not None:
sinks.append(langfuse)
runtime = Runtime(event_sink=CompositeEventSink(sinks))
try:
result = await runtime.run(agent, "hello")
finally:
if langfuse is not None:
await langfuse.shutdown()
By default, the Langfuse sink records metadata, status, timing, tool names, and final outputs. It does not record inputs, reasoning, streaming deltas, tool arguments, tool results, or human-submitted values unless explicitly configured.
Development
Run the test suite:
PYTHONPATH=src python -m unittest discover tests
Run type checking after installing development dependencies:
pyright
Release
Runlet Harness publishes to PyPI from Git tags through GitHub Actions.
Typical release flow:
- Update the version in
pyproject.toml. - Merge to
main. - Create a tag such as
v0.1.0a1. - Push the tag.
git tag v0.1.0a1
git push origin v0.1.0a1
1 maintainer
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