The platform behind your agent workforce

Versioned agents, bring-your-own-model providers, managed knowledge bases, channel deployment, and governance enforced on every operation — everything you need to run AI agents like production software.

Agents & Apps with Version Control

Bot apps are the user-facing front door; agents are the specialists behind them. Both carry full lifecycle management, and every agent change is a version you can publish — and roll back.

  • Agent versioning with publish, changelogs, and rollback
  • App→agent routing links: single, round-robin, intelligent, custom
  • Lifecycle status (draft → active → paused → archived) and visibility controls
  • Templates and bucket folders to organize the fleet
Illustration of an AI agent version timeline with publish and rollback nodes

Bring Your Own Model

Register the LLM providers your organization has sanctioned — your keys, your contracts. Botlit resolves vaulted credentials at execution time and records which model ran every single execution.

  • 11 provider types: OpenAI, Anthropic, Google, Cohere, Mistral, Groq, Together, HuggingFace, Azure OpenAI, AWS Bedrock, and custom OpenAI-compatible endpoints
  • Vaulted API keys resolved at execution time, never echoed back
  • Connection testing before any agent depends on a provider
  • Per-model parameters and per-agent model bindings
Illustration of a secure vault connected to multiple AI model providers

Knowledge Bases & Retrieval

Managed RAG corpora: documents are chunked with the strategy you choose, embedded into per-knowledge-base vector collections, and validated with semantic search before anything goes live.

  • Five chunking strategies: fixed, recursive, semantic, markdown, code
  • Per-KB vector collections with an explicit index lifecycle
  • Semantic search to prove retrieval quality on real queries
  • Reusable retrieval profiles, shareable as store packages
Illustration of documents flowing into a glowing vector knowledge base

Channels & Team Inbox

Connectors bind your workspace to Slack, Teams, Discord, WhatsApp, and webhooks; routes map platform channels to bot apps. Every conversation lands in one shared team inbox.

  • Inbound webhooks acknowledge instantly; agent runs happen in the background
  • Outbound messages stored in the conversation record and delivered in parallel
  • Channel routes: different channels, different bot apps, one workspace
  • Shared team inbox with both sides of every exchange
Illustration of messaging channels fanning into a unified team inbox

Governance, RBAC & Cost Audit

Every API operation is gated by an RBAC rule enforced on every request, and every agent run writes an execution record with token and cost metrics. Trust is structural, not aspirational.

  • Enforced RBAC for humans and machine credentials alike
  • Per-execution audit: status, input/output, tokens, cost, model
  • Policy definitions across seven types with tool-risk levels
  • Prompt templates with variable rendering to standardize instructions
Illustration of a security shield over audited AI agent activity streams

Your providers, your channels

Bring the model providers you already trust and meet users where they already are

OpenAI
Anthropic
Google
Azure OpenAI
AWS Bedrock
Groq
Slack
Microsoft Teams

Ready to experience these features?

Join the waitlist for early access at launch

Join Waitlist

We use cookies for essential site functions and, with your consent, for analytics to improve Botlit. We don't use advertising or cross-site tracking cookies. See our Cookie Policy.

Preferences