AI-driven CI/CD failure analyzer and auto-remediator using Observer-Reasoner-Actuator.
Project description
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
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