AI Orchestration
AI orchestration for agents that know, reason and act.
Connect LLMs, tools, APIs, documents, vector databases and MCP servers into one controlled AI orchestration layer.
Or start with $150 of credit, enough for a first month of Growth
AI Orchestration Features
The control layer for building production-ready AI assistants, agents and automated business actions.
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Custom LLMs
Connect OpenAI, Anthropic, Google, AWS, OpenRouter, DeepSeek or your own LLM APIs and control which models power each assistant.
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AI Function Tools
Let AI safely call tools, APIs and business actions with structured inputs, validations and logs.
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RAG Orchestration
Build retrieval pipelines with documents, knowledge, vector databases, tools and LLMs.
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VectorDB Integration
Store and retrieve embeddings using MonoChat’s built-in vector database or your preferred provider.
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MCP Integration
Connect AI agents to external MCP-compatible tools, systems and data sources.
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Agent Harnesses
Bring your own AI agent framework: MonoChat’s built-in harness, Claude Agent SDK, OpenAI Agents SDK, Pi, hosted Claude or OpenAI agents, or your own, on every channel with human handover.
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AI control layer
More than prompts. Real business actions.
MonoChat lets AI assistants retrieve knowledge, call tools, trigger workflows and connect to business systems with clear control and visibility.
- Bring your own LLM providers
- No AI markup with your own keys
- RAG orchestration
- VectorDB flexibility
- AI function calling
- MCP-compatible tools
- Structured tool inputs and outputs
- Production-ready AI control layer
Works with the LLM providers you already use
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OpenAI -
Anthropic -
Google Gemini -
Azure OpenAI -
AWS Bedrock -
OpenRouter -
xAI -
DeepSeek -
Groq -
Cohere -
Ollama
FAQ
Questions about AI orchestration
Quick answers to the most common questions.
What is AI orchestration in MonoChat?
It is the control layer that connects LLMs, knowledge, tools and business systems. With it an AI assistant can retrieve knowledge, call tools, trigger workflows and act in your systems, while you keep control and visibility over what it does.
Which LLM providers can I connect?
You can connect OpenAI, Anthropic, Google, Azure, AWS, OpenRouter, xAI, DeepSeek, Groq, Cohere and Ollama, or your own LLM API, and choose which model powers each assistant.
Does MonoChat add a markup on AI usage?
No. When you connect your own provider keys you pay the provider directly and there is no AI markup from MonoChat.
How do I keep AI answers relevant and under control?
Ground answers with knowledge bases, RAG pipelines and a vector database, and let the AI act only through function tools with structured inputs, validations and logs. Permissions and guardrails define what each assistant may do.
First month of Growth on us
Build AI Agents That Actually Work.
Connect LLMs, tools, knowledge and business systems with MonoChat’s AI orchestration layer.
One code per business • 30 days to redeem • No card needed