mirror of https://github.com/Significant-Gravitas/AutoGPT.git synced 2026-02-06 12:55:05 -05:00

Files

Nicholas Tindle e0784f8f6b refactor(forge): simplify deeply nested error handling in Anthropic provider

- Extract _get_tool_error_message helper method
- Replace 20+ levels of nesting with simple for loop
- Improve readability of tool_result construction
- Update benchmark poetry.lock

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2026-01-19 00:15:33 -06:00

agbenchmark

fix: Resolve logger.warn(..) deprecration warnings (#9938 )

2025-05-16 10:56:03 +02:00

agbenchmark_config

refactor: AutoGPT Platform Stealth Launch Repo Re-Org (#8113 )

2024-09-20 16:50:43 +02:00

backend

refactor: AutoGPT Platform Stealth Launch Repo Re-Org (#8113 )

2024-09-20 16:50:43 +02:00

frontend

refactor: AutoGPT Platform Stealth Launch Repo Re-Org (#8113 )

2024-09-20 16:50:43 +02:00

reports

refactor: AutoGPT Platform Stealth Launch Repo Re-Org (#8113 )

2024-09-20 16:50:43 +02:00

tests

refactor: AutoGPT Platform Stealth Launch Repo Re-Org (#8113 )

2024-09-20 16:50:43 +02:00

.env.example

refactor: AutoGPT Platform Stealth Launch Repo Re-Org (#8113 )

2024-09-20 16:50:43 +02:00

.flake8

refactor: AutoGPT Platform Stealth Launch Repo Re-Org (#8113 )

2024-09-20 16:50:43 +02:00

.gitignore

refactor: AutoGPT Platform Stealth Launch Repo Re-Org (#8113 )

2024-09-20 16:50:43 +02:00

agents_to_benchmark.json

refactor: AutoGPT Platform Stealth Launch Repo Re-Org (#8113 )

2024-09-20 16:50:43 +02:00

LICENSE

refactor: AutoGPT Platform Stealth Launch Repo Re-Org (#8113 )

2024-09-20 16:50:43 +02:00

poetry.lock

refactor(forge): simplify deeply nested error handling in Anthropic provider

2026-01-19 00:15:33 -06:00

pyproject.toml

feat(forge): modernize web search with tiered provider system

2026-01-19 00:06:42 -06:00

README.md

refactor: AutoGPT Platform Stealth Launch Repo Re-Org (#8113 )

2024-09-20 16:50:43 +02:00

README.md

Auto-GPT Benchmarks

Built for the purpose of benchmarking the performance of agents regardless of how they work.

Objectively know how well your agent is performing in categories like code, retrieval, memory, and safety.

Save time and money while doing it through smart dependencies. The best part? It's all automated.

Scores:

Ranking overall:

Detailed results:

Click here to see the results and the raw data!!

More agents coming soon !