feat(gooddata-eval): capture conversation_id/response_id through the agentic-CLI path

[Tomkess]

Summary

• Stacked on feat(gooddata-eval): capture agent reasoning steps in ChatResult #1708 — targets feat/chat-client-reasoning-steps, not master.
• Same gap feat(gooddata-eval): capture agent reasoning steps in ChatResult #1708 fixed for reasoning_steps, applied to conversation_id/response_id: cli/agentic_runner.py -> evaluate_agentic_* never surfaced them onto ItemReport for the three agentic kinds (agentic_alert_skill/agentic_metric_skill/agentic_conversation), even though each ChatResult already carries both.
• Widens each evaluate_agentic_* return from list[str] to (reasoning_steps, conversation_id, response_id); attaches all three to the raised exception on failure (mirrors the existing conversation_id-on-exception idiom in ChatClient.ask()); run_agentic_items unpacks either form.
• response_id is new at the RunResult layer for all three kinds — captured as the last non-null value across a run's turns, same accumulation pattern already used for reasoning_steps.
• general_question/guardrail/search_tool/visualization untouched — already populated via the single-turn runner.py path, unaffected by this gap.

Test plan

• uv run pytest tests/test_agentic_alert_skill.py tests/test_agentic_conversation.py tests/test_agentic_metric_skill.py tests/test_agentic_runner.py tests/test_alert_skill_evaluator.py tests/test_metric_skill_evaluator.py — 65 passed
• Full package suite (uv run pytest) — same 9 pre-existing failures with or without this patch (missing openai in local env), zero new failures
• ruff check clean on all touched files
• ty check — same 4 pre-existing openai-unresolved-import diagnostics with or without this patch, zero new diagnostics

🤖 Generated with Claude Code

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