AgentDecisionBench
Harbor: pendingAgentDecisionBench AgentDecisionBench is the benchmark of the paper JevAgentHarness: Benchmarking, Deploying and Training Decision Models That Share Control with LLMs.
- Samples
- 383,349
- Released
- 2026
- Scores
- 2
$ npm i -g lettokenburn-cli$ ltb bench run gorilla/bfcl@1 --benchmark bfcl -a claude-code -m anthropic/claude-opus-4-8$ ltb bench push
Harbor-native: you can also call Harbor directly.
$ harbor run -d gorilla/bfcl@1 -a claude-code -m anthropic/claude-opus-4-8
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
No sourced scores recorded yet.
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
BFCL (Berkeley Function Calling) — 函数调用能力. Scoring: 准确率. Difficulty: 高. Imported from benchmark_research.md (2026-06).