Features
Autonomous prompt generation and self-refinement
Test case and LLM Judge synthesizer for evaluation
Agentic RAG Builder (chunking, embedding, indexing)
Multi-dimensional LLM Judge (3-grade, pairwise, voting)
Multi-architecture evaluation (Prompt, RAG, models)
Interpretable AI observability in production
Automatic documentation generation and updates
Failover to secondary models and prompts
Doc cleaning and context embedding for accurate RAG
Edge case tuning from user data
Collective decision-making and customized metrics
One-click model, prompt, and database switching
Alerts via email and Slack for AI failures
Centralized management of AI components
Containerized AI with automatic infrastructure provisioning
GLM-5.2 open-source flagship model with 1M context
GLM-5V-Turbo multimodal coding model
GLM-5-Turbo agent-optimized base model
AutoGLM autonomous planning and execution agent (50+ steps)
GLM-PC computer-operating agent via screen input
AutoClaw 1-minute PC agent deployment
MaaS high-performance model API services
Model fine-tuning for language and multimodal models
AI search tool with multi-engine integration
General translation with context recognition
GLM PPT/Poster one-click presentation generation
CogAgent-9B open-source GLM-PC base model
End-side deployment with Intel partnership
CodeGeeX smart coding assistant for AIPC