softprobe (Python)
Softprobe Agent QA Python SDK — LLM / agent observability via OTLP to Softprobe Explorer.
pip install softprobe
# LangChain:
pip install 'softprobe[langchain]'
Docs: Agent QA → LangChain · Quick start
Examples
| Script | Path |
|---|---|
Basic from_env() |
examples/basic.py |
| LangChain best path | examples/langchain_agent.py |
See examples/README.md.
export SOFTPROBE_PUBLIC_KEY="spk_…"
export SOFTPROBE_BASE_URL="https://explorer.softprobe.ai/api/thelake"
python examples/basic.py
Develop
uv sync --extra langchain --extra openai --extra dev
uv run pytest -q
uv run mypy src/softprobe
Publish
Create a GitHub Release with tag vX.Y.Z. The release workflow publishes to PyPI via Trusted Publishing (OIDC).
Note: The older public repo
softprobe/softprobe-python(Hybrid/replay SDK) is archived. This repo is the Agent QA / LLM package.
1 maintainer
Release files for softprobe 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| softprobe-0.1.0.tar.gz | 34.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| softprobe-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 66.4 kB
Release files / softprobe-0.1.0.tar.gz
| Download URL | softprobe-0.1.0.tar.gz |
|---|---|
| Size | 34.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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Transparency logRelease files / softprobe-0.1.0-py3-none-any.whl
| Download URL | softprobe-0.1.0-py3-none-any.whl |
|---|---|
| Size | 31.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2815d09c8c461a42437a1dd1291f240184802f8897d0efb61e08ec4a2f9911bb
|
|
BLAKE2b-256 checksum How to use checksums |
56dbdebf3686aeba1fb597f57dac418159358ae95f4f22b4571896dbc4fb07a8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 25, 2026.
Transparency log
