fasteval-langgraph
LangGraph testing plugin for fasteval. Wraps any compiled StateGraph with a minimal test harness for chat, session, mocking, and node-level testing.
Install
pip install fasteval-langgraph
Quick Start
from fasteval_langgraph import harness, mock
import fasteval as fe
graph = harness(compiled_graph)
@fe.correctness(threshold=0.8)
async def test_agent():
result = await graph.chat("How do I configure OAuth?")
fe.score(result.response, "Use OAuth 2.0...", input="How do I configure OAuth?")
See the full documentation for details.
Metadata
Release files for fasteval-langgraph 2.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fasteval_langgraph-2.2.3.tar.gz | 8.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fasteval_langgraph-2.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.1 kB
Release files / fasteval_langgraph-2.2.3.tar.gz
| Download URL | fasteval_langgraph-2.2.3.tar.gz |
|---|---|
| Size | 8.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / fasteval_langgraph-2.2.3-py3-none-any.whl
| Download URL | fasteval_langgraph-2.2.3-py3-none-any.whl |
|---|---|
| Size | 11.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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