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feat: implement 10-feature product roadmap (v0.6.0)
Phase 1 — Foundation/MVP: - Feature-1: Deterministic run profiles with seed, sampling, grader defaults (profiles.py, --profile CLI option) - Feature-4: Strict mypy typing enforcement in CI pipeline - Feature-5: Health check command (agenteval doctor) - Feature-6: Interactive suite scaffolding (agenteval init) and YAML linting (agenteval lint) Phase 2 — Enhancement: - Feature-2: Regression gate policies with YAML-declared thresholds (gates.py, --gate CLI option on compare) - Feature-3: Unified run report artifacts in JSON and Markdown (reports.py, agenteval report command, --report on run) - Feature-10: Cross-language onboarding kits (TypeScript agent, GitHub Actions templates, Docker examples) Phase 3 — Scale/Growth: - Feature-7: Distributed execution reliability (dead-letter queue, task status tracking, run resumption, worker diagnostics) - Feature-8: Historical trend analysis with budget guardrails (trends.py, agenteval trends command) Phase 4 — Future/Vision: - Feature-9: Optional local web dashboard with runs, detail, and trends views (stdlib http.server, Chart.js, vanilla JS) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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.github/workflows/ci.yml

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run: pip install pip-audit && pip-audit --desc
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continue-on-error: true
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- run: pytest
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- name: Type check
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run: pip install mypy types-PyYAML && mypy src/agenteval/ --ignore-missing-imports
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continue-on-error: true

.gitignore

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dist/
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build/
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*.pyc
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# Aperant data directory
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.auto-claude/
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# Claude Code / BMAD
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.claude/
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_bmad/
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# SQLite databases
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*.db

examples/docker/Dockerfile

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FROM python:3.12-slim
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WORKDIR /work
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# Install agenteval with distributed extras for optional Redis support
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RUN pip install --no-cache-dir agentevalkit[distributed]
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# Copy example suite (override at runtime with -v)
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COPY suite.yaml .
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CMD ["agenteval", "run", "--suite", "suite.yaml"]

examples/docker/README.md

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# Running AgentEval in Docker
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This example shows how to run agenteval in a Docker container, with an
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optional Redis service for distributed mode.
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## Quick start
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```bash
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# Build the image
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docker build -t agenteval .
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# Run a suite
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docker run --rm -v $(pwd)/suite.yaml:/work/suite.yaml agenteval \
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agenteval run --suite suite.yaml --agent my_agent:run
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```
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## With Docker Compose (distributed mode)
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```bash
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docker compose up
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```
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This starts a Redis instance and runs the agenteval worker. You can then
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submit jobs from the agenteval container.
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## Customisation
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- Mount your agent code into `/work` to make it importable.
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- Set `OPENAI_API_KEY` via environment variable or `.env` file.
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- Add extra pip packages in the Dockerfile as needed.

examples/docker/docker-compose.yml

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services:
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redis:
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image: redis:7-alpine
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ports:
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- "6379:6379"
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agenteval:
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build: .
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depends_on:
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- redis
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environment:
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- AGENTEVAL_REDIS_URL=redis://redis:6379/0
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- OPENAI_API_KEY=${OPENAI_API_KEY:-}
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volumes:
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- .:/work
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command: ["agenteval", "run", "--suite", "suite.yaml"]
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worker:
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build: .
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depends_on:
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- redis
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environment:
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- AGENTEVAL_REDIS_URL=redis://redis:6379/0
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- OPENAI_API_KEY=${OPENAI_API_KEY:-}
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volumes:
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- .:/work
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command: ["agenteval", "worker", "--redis-url", "redis://redis:6379/0"]

examples/docker/suite.yaml

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name: docker-example-tests
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agent: my_agent:run
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cases:
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- name: basic-response
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input: "Hello, agent!"
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expected:
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contains: "Hello"
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grader: contains
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- name: factual-check
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input: "What is 2 + 2?"
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expected:
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contains: "4"
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grader: contains

examples/github-actions/README.md

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# GitHub Actions CI Templates for AgentEval
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Reusable workflow templates for running agenteval in CI.
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## Templates
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### basic.yml
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Minimal workflow: installs agenteval, runs a test suite, and fails on
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non-zero exit code.
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### with-comparison.yml
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Runs a suite, compares results with a stored baseline, and posts a
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summary comment on the pull request.
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### with-gates.yml
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Runs a suite with quality gates. Fails the build if any metric
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regresses beyond the configured threshold.
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## Usage
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Copy the desired `.yml` file into your repository's `.github/workflows/`
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directory and adjust the suite path, agent reference, and any thresholds
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to match your project.

examples/github-actions/basic.yml

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# Basic agenteval CI workflow.
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# Runs a test suite and fails if any case fails.
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name: AgentEval Basic
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on:
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push:
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branches: [main]
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pull_request:
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branches: [main]
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jobs:
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eval:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- uses: actions/setup-python@v5
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with:
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python-version: "3.12"
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- name: Install agenteval
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run: pip install agentevalkit
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- name: Run evaluation suite
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run: agenteval run --suite suite.yaml --agent my_agent:run
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- name: Upload results
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if: always()
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uses: actions/upload-artifact@v4
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with:
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name: eval-results
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path: agenteval.db
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# AgentEval CI workflow with baseline comparison and PR comment.
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name: AgentEval Compare
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on:
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pull_request:
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branches: [main]
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permissions:
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pull-requests: write
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jobs:
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eval:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- uses: actions/setup-python@v5
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with:
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python-version: "3.12"
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- name: Install agenteval
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run: pip install agentevalkit
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- name: Run evaluation suite
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run: agenteval run --suite suite.yaml --agent my_agent:run --format json -o results.json
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- name: Compare with baseline
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run: agenteval compare --baseline baseline.json --current results.json --format markdown -o comparison.md
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- name: Post PR comment
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if: github.event_name == 'pull_request'
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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run: |
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gh pr comment ${{ github.event.number }} \
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--body-file comparison.md \
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--edit-last || \
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gh pr comment ${{ github.event.number }} \
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--body-file comparison.md
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- name: Upload artifacts
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if: always()
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uses: actions/upload-artifact@v4
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with:
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name: eval-artifacts
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path: |
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results.json
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comparison.md
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# AgentEval CI workflow with quality gates.
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# Fails the build if metrics regress beyond thresholds.
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name: AgentEval Gates
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on:
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pull_request:
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branches: [main]
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permissions:
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pull-requests: write
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jobs:
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eval:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- uses: actions/setup-python@v5
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with:
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python-version: "3.12"
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- name: Install agenteval
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run: pip install agentevalkit
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- name: Run evaluation suite
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run: agenteval run --suite suite.yaml --agent my_agent:run --format json -o results.json
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- name: Compare with gates
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run: |
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agenteval compare \
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--baseline baseline.json \
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--current results.json \
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--gate pass_rate:0.95 \
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--gate avg_score:0.8 \
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--gate max_latency_ms:5000 \
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--format json -o gate-results.json
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- name: Check gate status
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run: |
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python3 -c "
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import json, sys
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data = json.load(open('gate-results.json'))
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if not data.get('gates_passed', False):
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for g in data.get('failures', []):
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print(f\"GATE FAILED: {g['gate']} — got {g['actual']}, required {g['threshold']}\")
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sys.exit(1)
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print('All quality gates passed.')
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"
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- name: Post PR comment
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if: always() && github.event_name == 'pull_request'
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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run: |
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STATUS=$(python3 -c "import json; d=json.load(open('gate-results.json')); print('passed' if d.get('gates_passed') else 'FAILED')")
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gh pr comment ${{ github.event.number }} \
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--body "## AgentEval Gate Results: ${STATUS}
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$(cat gate-results.json | python3 -m json.tool)" \
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--edit-last || \
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gh pr comment ${{ github.event.number }} \
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--body "## AgentEval Gate Results: ${STATUS}
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$(cat gate-results.json | python3 -m json.tool)"

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