ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs (ToolLLM)Product24/100 via “multi-step api chain planning and execution with error recovery”
* ⭐ 08/2023: [MetaGPT: Meta Programming for Multi-Agent Collaborative Framework (MetaGPT)](https://arxiv.org/abs/2308.00352)
Unique: Integrates LLM-based chain-of-thought planning with stateful API execution, allowing the LLM to reason about multi-step workflows while the execution engine handles error recovery, retry logic, and state management. Maintains execution context across calls to enable data-dependent API sequences.
vs others: More flexible than rigid workflow definitions (YAML, DAG-based) because the LLM can adapt plans based on intermediate results, while more reliable than naive sequential execution because it includes error recovery and state tracking.