web-search-agent-evals — Gemini AI Agent
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    web-search-agent-evals

    web-search-agent-evals

    youdotcom-oss January 20, 2026
    5 copies 0 downloads

    Extensible benchmarking suite for evaluating AI coding agents on web search tasks. Compare native search vs MCP servers (You.com, expanding) across multiple agents (Claude Code, Gemini, Droid, Codex, expanding) with automated Docker workflows and statistical analysis.

    Web Search Agent Evaluations

    Evaluate multiple agents (Claude Code, Gemini, Droid, Codex) with different web search tools (builtin, You.com MCP) in isolated Docker containers.

    Overview

    This evaluation system runs a matrix comparison: 4 agents × 2 tools = 8 pairings, capturing full trajectories for analysis.

    Key Features:

    • Headless adapters - No custom code, just JSON schemas (@plaited/agent-eval-harness)
    • Flag-based architecture - Single service per agent, MCP mode selected via environment variable
    • Type-safe constants - MCP server definitions in mcp-servers.ts
    • TypeScript entrypoint - Bun shell script for runtime MCP configuration
    • Isolated execution - Each pairing runs in its own Docker container

    Evaluation Pipeline

    flowchart TD
        Env[SEARCH_PROVIDER env var] --> Entrypoint[docker/entrypoint]
        Entrypoint -->|builtin| SkipMCP[Skip MCP setup]
        Entrypoint -->|you| ConfigMCP[Configure MCP via CLI]
    
        SkipMCP --> Harness[agent-eval-harness trials]
        ConfigMCP --> Harness
    
        Prompts[prompts.jsonl] --> Harness
        Schemas[agent-schemas/*.json] --> Harness
        Harness --> Results[data/results/YYYY-MM-DD/agent/tool.jsonl]
    

    Analysis Pipeline

    flowchart LR
        Results[Trial Results<br/>YYYY-MM-DD/agent/tool.jsonl] --> Compare[compare.ts]
        Grader[inline-grader.ts] --> Compare
    
        Compare -->|weighted| Weighted[*-weighted.json<br/>Capability + Reliability]
        Compare -->|statistical| Statistical[*-statistical.json<br/>Bootstrap CIs]
    
        Weighted --> Report[report.ts]
        Statistical --> Report
    
        Report --> REPORT[REPORT.md<br/>Rankings + Analysis]
    
        style Compare fill:#e1f5ff
        style Report fill:#e1f5ff
        style REPORT fill:#d4edda
    

    Latest Results

    📊 View Latest Evaluation Report - Comprehensive analysis with quality rankings, performance metrics, tool call stat

    Tags

    agent-evaluationai-agentsbenchmarkclaude-codecodexcoding-agentsdroidevaluation-suitegeminiheadless-testing

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