feat: regression guard, agent card, recommend command, external datasets#14
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himmi-01 merged 1 commit intoMay 28, 2026
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- feat(1B): Regression Guard — auto-detect score drops after every run-benchmark;
new 'evalmonkey guard' command exits with code 1 for CI/CD gating.
Configurable via EVAL_REGRESSION_THRESHOLD env var (default: 5 pts).
- feat(1C): Agent Card — 'evalmonkey report' generates shareable Markdown with
shields.io badge, per-scenario score table, and production reliability metric.
Paste the badge directly into your README.
- feat(1A): 'evalmonkey recommend' — reads agent_type from evalmonkey.yaml and
shows curated benchmark suite (research_agent, coding_agent, rag_agent,
customer_support, voice_agent, safety_agent, general).
- feat(phase2): External and Private Datasets
- '--dataset my_cases.jsonl' flag for local JSONL/JSON/CSV files
- 'hf::org/dataset' prefix to load any HuggingFace dataset directly
- 'confident-ai::dataset_id' / 'braintrust::ref' / 'langsmith::id' prefixes
to use EvalMonkey as chaos+scoring harness on top of your existing eval
platform datasets (API key from .env)
- Generic REST harness via 'private_benchmarks' block in evalmonkey.yaml
- tests: 53 new unit tests (all mocked, no network), 149 total passing
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feat(1B): Regression Guard — auto-detect score drops after every run-benchmark; new 'evalmonkey guard' command exits with code 1 for CI/CD gating. Configurable via EVAL_REGRESSION_THRESHOLD env var (default: 5 pts).
feat(1C): Agent Card — 'evalmonkey report' generates shareable Markdown with shields.io badge, per-scenario score table, and production reliability metric. Paste the badge directly into your README.
feat(1A): 'evalmonkey recommend' — reads agent_type from evalmonkey.yaml and shows curated benchmark suite (research_agent, coding_agent, rag_agent, customer_support, voice_agent, safety_agent, general).
feat(phase2): External and Private Datasets
tests: 53 new unit tests (all mocked, no network), 149 total passing