feat(evaluation): add majority and selector

[ntudy]

Describe this PR

Checklist for PR

Must Do

• Write a good PR title and description, i.e. feat(agent): add pdf tool via mcp, perf: make llm client async and fix(utils): load custom config via importlib etc. CI job check-pr-title enforces Angular commit message format to PR title.
• Run make precommit locally. CI job lint enforce ruff default format/lint rules on all new codes.
• Run make pytest. Check test summary (located at report.html) and coverage report (located at htmlcov/index.html) on new codes.

Nice To Have

• (Optional) Write/update tests under /tests for feat and test PR.
• (Optional) Write/update docs under /docs for docs and ci PR.

[Copilot]

Pull Request Overview

This PR adds evaluation functionality for analyzing multiple agent runs, including majority voting and LLM-based solution selection. The changes introduce two new analysis methods to help select the best solutions from multiple agent attempts.

• Adds majority vote calculation for determining task success based on multiple runs
• Implements LLM-powered solution selector to choose best answers from multiple attempts
• Updates evaluation scripts to include the new analysis tools

Reviewed Changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 5 comments.

File	Description
apps/run-agent/scripts/claude-sonnet-3.7/run_evaluate_multiple_runs_gaia-validation.sh	Adds new evaluation steps for score calculation and solution selection
apps/run-agent/main.py	Registers the new llm-solution-selector command
apps/run-agent/llm_solution_selector.py	New module implementing LLM-based solution selection with async processing
apps/run-agent/calculate_score_from_log.py	Adds majority vote calculation and updates log file pattern matching

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