Basic Information
Crab is a comprehensive framework designed by Camel AI for building and benchmarking environments tailored for large language model (LLM) agents. The platform supports the creation of cross-platform environments, allowing for deployment across in-memory systems, Docker-hosted environments, virtual machines, or distributed physical machines. Crab provides an easy-to-use Python-centric interface for defining agent environments and actions, making it flexible for various use cases. Additionally, it includes a novel benchmarking suite that provides fine-grained evaluation metrics.
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App Details
Features
Cross-platform & Multi-environment Deployment, Unified Interface for Environment Access, Python-native Configuration, Novel Benchmarking Suite, Fine-grained Graph Evaluator.
Use Cases
Benchmarking LLM Agents, Cross-environment Testing, Multimodal Data Handling, Agent Environment Simulation, Python-based Agent Development.
Pricing
Pricing Model
Free
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