Pr Author Agent

PR Author Agent

The PR Author Agent transforms Observability Diff Plans (produced by Scout Agent) into complete Pull Requests containing instrumentation code, configuration, tests, and documentation. It operates as the code generation layer of the Instrumentation Autopilot system.

Core Responsibilities

1. Diff Plan Parsing: Parse and validate Scout Agent output
2. Template Selection: Choose archetype-specific templates based on Diff Plan
3. Code Generation: Generate OTel interceptors, correlation headers, middleware
4. Lineage Spec Creation: Create YAML specs defining input/output data mappings
5. Contract Stub Generation: Create data contract definitions with SLOs
6. Test Scaffolding: Generate telemetry validation tests
7. Runbook Generation: Create operational runbooks from templates
8. PR Creation: Create GitHub/GitLab PR with all artifacts

Workflow

Execute PR generation in this sequence:

Step 1: Parse Diff Plan

Read the Observability Diff Plan JSON from Scout Agent:

• Extract repo, archetypes, tech_stack, gaps, patch_plan
• Validate plan against schema in references/diff-plan-schema.md
• Check confidence threshold (default >= 0.7)
• Reject low-confidence plans with appropriate error message

Step 2: Select Templates

For each gap in the plan:

1. Match gap.template to template library in references/templates/
2. Determine language from tech_stack.language
3. Load template files for the specific archetype
4. Prepare variable context for interpolation

Step 3: Generate Artifacts

For each template, generate:

• Code files: Interceptors, wrappers, middleware, handlers
• Config files: application.yaml, go.mod additions, pom.xml dependencies
• Spec files: lineage/.yaml, contracts/.yaml
• Test files: *_test.java, *_test.py, *_test.go
• Docs: RUNBOOK.md

Step 4: Apply Patch Plan

Execute patch operations from the Diff Plan:

• add_dependency: Append dependencies to build files
• merge_config: Merge configuration into existing files
• create_file: Create new files with generated content
• modify_file: Apply targeted modifications to existing files

Step 5: Create Pull Request

Using GitHub/GitLab API:

1. Create branch: autopilot/observability-{repo}-{timestamp}
2. Stage all generated and modified files
3. Create commit with structured message
4. Create PR with description from template
5. Apply labels: autopilot, observability, {archetype}
6. Request reviewers based on CODEOWNERS
7. Emit CloudEvent for downstream processing

Template Library

Templates organized by language and archetype:

references/templates/
├── java/
│   ├── kafka-consumer-otel/
│   │   ├── OtelKafkaConsumerInterceptor.java.tmpl
│   │   ├── pom-dependency.xml.tmpl
│   │   └── application-config.yaml.tmpl
│   ├── kafka-producer-otel/
│   │   ├── OtelKafkaProducerInterceptor.java.tmpl
│   │   └── pom-dependency.xml.tmpl
│   ├── kafka-producer-headers/
│   │   ├── CorrelationHeaderInterceptor.java.tmpl
│   │   └── HeaderPropagator.java.tmpl
│   ├── spring-boot-otel/
│   │   ├── OtelAutoConfiguration.java.tmpl
│   │   └── application-otel.yaml.tmpl
│   └── grpc-otel/
│       ├── OtelGrpcServerInterceptor.java.tmpl
│       └── OtelGrpcClientInterceptor.java.tmpl
├── python/
│   ├── kafka-otel/
│   │   ├── otel_kafka_wrapper.py.tmpl
│   │   └── requirements-otel.txt.tmpl
│   ├── airflow-openlineage/
│   │   ├── openlineage_config.py.tmpl
│   │   └── dag_lineage_decorator.py.tmpl
│   └── spark-openlineage/
│       ├── spark_lineage_listener.py.tmpl
│       └── requirements-lineage.txt.tmpl
├── go/
│   ├── kafka-sarama-otel/
│   │   ├── otel_sarama_wrapper.go.tmpl
│   │   └── go-mod-dependency.txt.tmpl
│   ├── gin-otel/
│   │   ├── otel_gin_middleware.go.tmpl
│   │   └── go-mod-dependency.txt.tmpl
│   ├── echo-otel/
│   │   ├── otel_echo_middleware.go.tmpl
│   │   └── go-mod-dependency.txt.tmpl
│   ├── grpc-otel/
│   │   ├── otel_grpc_interceptor.go.tmpl
│   │   └── go-mod-dependency.txt.tmpl
│   └── chi-otel/
│       ├── otel_chi_middleware.go.tmpl
│       └── go-mod-dependency.txt.tmpl
└── common/
    ├── lineage-spec/
    │   ├── kafka-lineage.yaml.tmpl
    │   ├── spark-lineage.yaml.tmpl
    │   └── airflow-lineage.yaml.tmpl
    ├── contract-stub/
    │   ├── data-contract.yaml.tmpl
    │   └── slo-definition.yaml.tmpl
    ├── runbook/
    │   └── RUNBOOK.md.tmpl
    └── test/
        ├── telemetry_test.java.tmpl
        ├── telemetry_test.py.tmpl
        └── telemetry_test.go.tmpl

Variable Interpolation

Templates use ${VAR} syntax for variable substitution:

See references/variable-mapping.md for complete variable reference.

PR Description Template

## Autopilot: Observability Instrumentation

This PR was generated by the Instrumentation Autopilot to add observability
instrumentation to this repository based on Scout Agent analysis.

### Summary
- **Archetypes Detected**: ${ARCHETYPES}
- **Confidence Score**: ${CONFIDENCE}
- **Diff Plan ID**: ${DIFF_PLAN_ID}

### Changes
${CHANGES_LIST}

### Gaps Addressed
${GAPS_LIST}

### Files Modified
${FILES_LIST}

### Verification Checklist
- [ ] Code review approved by domain expert
- [ ] Unit tests passing
- [ ] Lineage spec reviewed for accuracy
- [ ] Contract SLOs appropriate for data tier
- [ ] RUNBOOK.md reviewed for operational accuracy

### Next Steps
After merge, the **Telemetry Validator** will automatically verify signals in staging.
Gate 1 checks will run as part of this PR's CI pipeline.

### Need Help?
- [Observability Runbook](./RUNBOOK.md)
- [Instrumentation Autopilot Docs](https://docs.internal/autopilot)
- Contact: #observability-support

---
*Generated by Instrumentation Autopilot v1.0*
*Scout Agent Scan: ${SCAN_TIMESTAMP}*
*PR Author: ${PR_TIMESTAMP}*

Scripts

• scripts/generate_pr.py: Main PR generation orchestrator
• scripts/template_engine.py: Template interpolation and rendering engine
• scripts/github_client.py: GitHub REST API wrapper for PR creation
• scripts/gitlab_client.py: GitLab REST API wrapper for MR creation

References

• references/diff-plan-schema.md: JSON schema for input Diff Plans (shared with Scout Agent)
• references/pr-template.md: PR/MR description template
• references/variable-mapping.md: Complete variable interpolation reference
• references/templates/: Archetype-specific code templates

OpenSpec Integration

For Windsurf development:

• assets/openspec/project.md: Project context and conventions
• assets/openspec/specs/pr-author-agent/spec.md: PR Author Agent specification
• assets/openspec/AGENTS.md: Workflow instructions for AI assistants

Initialize OpenSpec: openspec init then select Windsurf integration.

Windsurf Workflows

• assets/windsurf/workflows/pr-author-generate.md: Generate PR from Diff Plan
• assets/windsurf/workflows/pr-author-template.md: Create new archetype template
• assets/windsurf/workflows/pr-author-test.md: Test generated code locally

Integration Points

Configuration

pr_author:
  # Feature flags
  enabled: true
  auto_create_pr: true
  require_human_review: true

  # Template settings
  templates_path: "/opt/autopilot/templates"
  default_otel_version: "1.32.0"

  # Git settings
  default_branch: "main"
  branch_prefix: "autopilot/observability"
  pr_labels: ["autopilot", "observability"]

  # Confidence threshold
  confidence_threshold: 0.7

  # GitHub configuration
  github:
    app_id: ${GITHUB_APP_ID}
    installation_id: ${GITHUB_INSTALLATION_ID}
    private_key_path: "/etc/autopilot/github-app-key.pem"

  # GitLab configuration (alternative)
  gitlab:
    access_token: ${GITLAB_ACCESS_TOKEN}
    api_url: "https://gitlab.company.com/api/v4"

  # Event bus
  kafka:
    bootstrap_servers: "${KAFKA_BOOTSTRAP_SERVERS}"
    consumer_group: "pr-author-agent"
    input_topic: "autopilot.scout.diff-plan-created"
    output_topic: "autopilot.pr-author.pr-created"

Event Schema

Input Event (from Scout Agent)

{
  "specversion": "1.0",
  "type": "autopilot.scout.diff-plan-created",
  "source": "urn:autopilot:scout-agent",
  "id": "evt-abc123",
  "time": "2026-01-04T10:30:00Z",
  "datacontenttype": "application/json",
  "data": {
    "diff_plan_id": "dp-abc123",
    "repo": "orders-enricher",
    "repo_url": "https://github.com/company/orders-enricher",
    "confidence": 0.87,
    "diff_plan": { ... }
  }
}

Output Event (to CI Gatekeeper)

{
  "specversion": "1.0",
  "type": "autopilot.pr-author.pr-created",
  "source": "urn:autopilot:pr-author-agent",
  "id": "evt-def456",
  "time": "2026-01-04T10:31:00Z",
  "datacontenttype": "application/json",
  "data": {
    "diff_plan_id": "dp-abc123",
    "pr_number": 42,
    "pr_url": "https://github.com/company/orders-enricher/pull/42",
    "branch": "autopilot/observability-orders-enricher-1704364200",
    "files_changed": 8,
    "archetypes": ["kafka-microservice", "spring-boot"],
    "gaps_addressed": ["missing_otel", "missing_lineage_spec"]
  }
}

Error Handling

Metrics

Testing

Run unit tests:

pytest tests/ -v

Run integration tests:

pytest tests/integration/ -v --github-mock

Test template rendering:

python scripts/template_engine.py --test --template kafka-consumer-otel