Concepts
Botlit concepts
A guided tour of Botlit, one concept at a time. Each concept groups the illustrations of a feature or flow and explains what it does, how it works and who it is for.
6 concepts7 illustrations
These images are illustrations of the concept, not screenshots of the actual product.
Showing 6 of 6 concepts
Knowledge & Chat
Agents that answer from your own knowledge bases, cite their sources and decline when nothing matches.
Multi-Agent Orchestration
Bots that route each message to the right agent and let agents delegate work to one another under trust and depth limits.
Tools & Integrations
MCP servers that give agents real actions, with per-tool risk levels and a visible call loop.
Governance & Observability
Workspace policies that block unsafe input and output, plus a ledger of every run with its tokens, cost and latency.
Content Policies and Guardrails
Workspace policies that block unsafe input and output, cap request rate and token spend, and list recent enforcement events.
1 illustration
Execution Ledger and Run Costs
Every agent, channel and workflow run recorded with its status, duration, tokens, cost and the model that produced it.
1 illustration
AI Operations
An operations copilot that flags regressions across your bots and drafts new ones from a plain-language description.
