Gorilla

⚡️Composio: 10,000+ tools that evolve for Agents — Karan Vaidya and Soham Ganatra

Aug 4, 2025 · 22:09

Composio co-founders Karan Vaidya and Soham Ganatra join Swyx and Alessio to discuss their platform for self-evolving agent skills, now with 25,000+ actions and 100,000+ developers. They explain how MCP's client-side limitations led them to build a learning infrastructure that analyzes agent usage patterns to improve tool reliability over time. The team uses agents to build and maintain 95% of their 500+ integrations, adding 35 per week, with plans for 5,000 by year-end. They reveal that more than 20-25 actions confuse LLMs, so they offer a natural-language execution tool and dynamic tool exposure via MCP. Key challenges include enterprise APIs with poor documentation and the need for dev environments. Composio's internal agent benchmarks and A/B testing infrastructure optimize tool schemas for LLM calling.

[Paper Club] Berkeley Function Calling Paper Club! — Sam Julien, Writer

Oct 5, 2024 · 41:29

Sam Julien (Writer) walks through the Berkeley Function Calling Leaderboard (BFCL) and its three versions, detailing how each iteration improves evaluation of LLM function calling capabilities. BFCL v1 (March) introduced abstract syntax tree evaluation across 2,000 function-answer pairs, covering simple, multiple, and parallel calling. v2 (August) added a live dataset of 2,251 pairs, reducing bias and contamination through Rouge-score deduplication and filtering. v3 (September) introduced multi-turn and multi-step evaluation with state-based metrics, using a custom API (vehicle control, stock trading, etc.) and human-validated ground truth. Sam also highlights common model failures—misunderstanding current state, unnecessary planning—and mentions the Gorilla CLI and Open Functions as related tools in the Berkeley ecosystem.