[bot] Merge master/c028c311 into rel/dev#1641
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… + Langfuse) New public package `gooddata-eval` with a `gd-eval` CLI that evaluates the GoodData AI agent against a dataset of natural-language questions. Phase 1 — visualization evaluation: - Layered core + thin argparse CLI; SSE agentic chat client (httpx); workspace LLM provider/model resolution and activation via GoodData SDK; local-folder and Langfuse dataset sources; visualization evaluator with strict checks (metrics/dimensions/filters/type, cross-ref, pass@K); console + JSON reports. - Streaming per-item progress with latency (total, avg) and quality score. - Provider flag accepts name or id; auto-switches workspace to the provider that offers the requested model. - SSE fallback: captures visualization from create_adhoc_visualization tool call args when the data source is inaccessible. Phase 2 — remaining agentic test kinds: - metric_skill, alert_skill, search_tool: scored via tool call arguments. - general_question + guardrail: LLM-as-judge via openai [llm-judge] extra, lazily imported so CLI starts without openai installed. - Shared helpers: _deep_subset, LLMJudge, _text_utils. Langfuse integration: - Dataset source uses REST API via httpx (no Langfuse SDK — broken on Python 3.14). Requires LANGFUSE_PUBLIC_KEY / SECRET_KEY / HOST env vars. - Scoring sink (--langfuse, requires --langfuse-dataset): posts trace + 4 scores + dataset-run-item per evaluated item, creating the named experiment run automatically in Langfuse. - Scores: pass_at_k, quality_score, value_score, latency_s. Bug fixes from code review: - general_question/guardrail items SKIPPED (not ERRORED) when openai absent: supported_test_kinds() now checks openai availability via find_spec(). - Guardrail quality_score was inverted: visualization_returned renamed to no_visualization (True=good); judge_passed added so prose compliance scores 0.5 rather than 1.0. - _coerce_number truncated float thresholds: float(int(x)) -> float(x). - Falsy-zero threshold: 'or' fallback replaced with 'in' key check. - conversationId KeyError on malformed 200: raises ValueError with body. - Scoring math in sink.py was duplicated inline: now calls compute_scores(). - _deep_subset docstring corrected: greedy first-fit, not bipartite match. Infra wiring: - Add to fossa.yaml matrix, build-release/dev-release COMPONENTS, codecov. - Add Makefile (include ../../project_common.mk). 102 tests, ruff + ty clean. CLI starts without openai installed. JIRA: GDAI-1766 Risk: low — new isolated package; no changes to existing packages.
feat(eval): add gooddata-eval model-evaluation CLI
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
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🚀 Automated PR to perform merge from master into rel/dev with changes up to c028c31 (created by https://github.com/gooddata/gooddata-python-sdk/actions/runs/26891358313).