agentic-pipeline-doctor
Production-ready Python package that uses LangChain + LLMs to autonomously analyze and remediate CI/CD failures using an Observer → Reasoner → Actuator architecture with safety guardrails.
Install
pip install -e ".[dev]"
CLI
Analyze a log:
pipeline-doctor analyze --log-path ./build.log --repo-path . --verbose
Heal (dry-run by default unless guardrails allow operations):
pipeline-doctor heal --log-path ./build.log --repo-path . --dry-run
Library
from agentic_pipeline_doctor import PipelineDoctor
doctor = PipelineDoctor(repo_path=".", log_path="./build.log")
result = doctor.analyze()
print(result.report)
Docs
QUICKSTART.mdARCHITECTURE.mdPROJECT_STRUCTURE.mdIMPLEMENTATION_SUMMARY.md
1 maintainer
Release files for agentic-pipeline-doctor 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 | |
|---|---|---|---|
| agentic_pipeline_doctor-0.1.0.tar.gz | 13.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agentic_pipeline_doctor-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.9 kB
Release files / agentic_pipeline_doctor-0.1.0.tar.gz
| Download URL | agentic_pipeline_doctor-0.1.0.tar.gz |
|---|---|
| Size | 13.0 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.9
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Release files / agentic_pipeline_doctor-0.1.0-py3-none-any.whl
| Download URL | agentic_pipeline_doctor-0.1.0-py3-none-any.whl |
|---|---|
| Size | 18.9 kB |
| Tags | Python 3 |
|
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? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.9
|
