Chat-based AI assistants with tool access — schema browsing, query suggestions, and recipe guidance
AI agents are interactive chat assistants that operate within the Workbench. Unlike the AI-guided recipe builder (which follows a structured concierge flow), agents are open-ended — you ask questions, they answer and can take actions on your behalf. Agents have access to your datasets, database schemas, and recipes.
Agents in the Workbench can: browse database schemas and list tables, preview data from any table, suggest SQL queries based on natural language questions, explain recipe stages and suggest improvements, answer statistical questions about your data, and execute read-only queries against your databases. Agents never write data unless you explicitly confirm.
Agents use the same AI providers configured for the recipe assistant. You can switch providers per session — cloud providers (DeepSeek, OpenAI, Anthropic) for fast reasoning, or a local LLM for complete data privacy. See AI Providers for configuration details.
All agent interactions are logged: your questions, the agent's responses, and any actions the agent took. The audit trail is visible in the chat history and can be exported. This ensures that AI-assisted decisions are traceable and reviewable — an important control for regulated environments.
Agents use a tool-calling architecture. When you ask "What's the average sales by region?", the agent calls the schema browser to find the relevant table, then the query runner to execute the aggregation, then formats the results. Each tool call is logged in the audit trail.