GLM-5.2 Agent is a dataset of raw agent interaction trajectories for GLM-5.2 models generated by TeichAI using Teich. It aims to provide standardized, parsable session records for the training and design of agent models, supporting subsequent fine-tuning and enhanced tool invocation capabilities. The dataset contains 319 JSONL files, each corresponding to a complete agent session capture, and each agent tracking record contains a snapshot of the configured tool schema. Even if the tool is not actually invoked, its structural information still has training value.

Data Fields:

• session / session_meta: Records basic session information, such as session ID, timestamp, working directory (cwd), etc.
• event_msg / message / response_item: Stores user input, model inference, and response content from multi-turn dialogues.
• tools: A list of predefined utility functions, including file operations and command execution tools such as bash, read, write, and edit, with detailed parameter types and required constraints.
• Other auxiliary fields: covering session state and model configuration change information such as turn_context, model_change, and thinking_level_change.