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Will Pfleger
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* main: (54 commits) add clippy warning for string_slice (#5422) improve linux tray icon support (#5425) feat: log rotation (#5561) use app.isPackaged instead of checking for node env development (#5465) disable RPM build-ID generation to prevent package conflicts (#5563) Add Diagnostics Info to Q&A and Bug Report Templates (#5565) fix: improve server error messages to include HTTP status code (#5532) improvement: add useful error message when attempting to use unauthenticated cursor-agent (#5300) fix: unblock acp via databricks (#5562) feat: add --output-format json flag to goose run command (#5525) Sessions required (#5548) feat: add grouped extension loading notification (#5529) we should run this on main and also test open models at least via ope… (#5556) info: print location of sessions.db via goose info (#5557) chore: remove yarn usage from documentation (#5555) cli: adjust default theme to address #1905 (#5552) Manual compaction counting fix + cli cleanup (#5480) chore(deps): bump prismjs and react-syntax-highlighter in /ui/desktop (#5549) fix: remove qwen3-coder from provider/mcp smoke tests (#5551) fix: do not build unsigned desktop app bundles on every PR in ci. add manual option. (#5550) ...
Goose Benchmark Scripts
This directory contains scripts for running and analyzing Goose benchmarks.
run-benchmarks.sh
This script runs Goose benchmarks across multiple provider:model pairs and analyzes the results.
Prerequisites
- Goose CLI must be built or installed
jqcommand-line tool for JSON processing (optional, but recommended for result analysis)
Usage
./scripts/run-benchmarks.sh [options]
Options
-p, --provider-models: Comma-separated list of provider:model pairs (e.g., 'openai:gpt-4o,anthropic:claude-sonnet-4')-s, --suites: Comma-separated list of benchmark suites to run (e.g., 'core,small_models')-o, --output-dir: Directory to store benchmark results (default: './benchmark-results')-d, --debug: Use debug build instead of release build-h, --help: Show help message
Examples
# Run with release build (default)
./scripts/run-benchmarks.sh --provider-models 'openai:gpt-4o,anthropic:claude-sonnet-4' --suites 'core,small_models'
# Run with debug build
./scripts/run-benchmarks.sh --provider-models 'openai:gpt-4o' --suites 'core' --debug
How It Works
The script:
- Parses the provider:model pairs and benchmark suites
- Determines whether to use the debug or release binary
- For each provider:model pair:
- Sets the
GOOSE_PROVIDERandGOOSE_MODELenvironment variables - Runs the benchmark with the specified suites
- Analyzes the results for failures
- Sets the
- Generates a summary of all benchmark runs
Output
The script creates the following files in the output directory:
summary.md: A summary of all benchmark results{provider}-{model}.json: Raw JSON output from each benchmark run{provider}-{model}-analysis.txt: Analysis of each benchmark run
Exit Codes
0: All benchmarks completed successfully1: One or more benchmarks failed
parse-benchmark-results.sh
This script analyzes a single benchmark JSON result file and identifies any failures.
Usage
./scripts/parse-benchmark-results.sh path/to/benchmark-results.json
Output
The script outputs an analysis of the benchmark results to stdout, including:
- Basic information about the benchmark run
- Results for each evaluation in each suite
- Summary of passed and failed metrics
Exit Codes
0: All metrics passed successfully1: One or more metrics failed