function-calling

Liquid AI has released LFM2.5-VL-450M, a refreshed 450M-parameter vision-language model built on an updated LFM2.5-350M backbone. The model features a 32,768-token context window, supports 9 languages, handles native 512×512 pixel images, and adds bounding box prediction and function calling capabilities. Performance improvements span both vision and language benchmarks compared to its predecessor.

Google DeepMind has released Gemma 4 31B, a 30.7-billion-parameter multimodal model supporting text and image input. The model features a 262,144-token context window, configurable thinking/reasoning mode, native function calling, and multilingual support across 140+ languages under Apache 2.0 license.

Amazon Web Services has integrated Claude's tool use (function calling) capability into Bedrock, enabling serverless document processing for custom entity recognition. The solution uses Claude 3.5 Sonnet to extract structured data like names, dates, and addresses from driver's licenses and other documents without traditional model training.