Custom LLMs

Connect Your AI Models
via API Credentials

Bring OpenAI, Anthropic, Google, Azure, or your own model APIs. Route requests by cost, latency, or capability — with fallbacks, monitoring, and governance built in.

Connect via API Credentials
OpenAI • Anthropic • Google • Azure • Custom APIs
OpenAI
Connected
Anthropic
Active
Custom API
Ready

Flexible Model Integration

Choose the approach that fits your stack — providers, routing, and governance.

20+
Providers

Connect External APIs

Bring your existing model providers into MonoChat via credentials and validate connections.

  • API key management
  • Secure credential storage
  • Connection validation
  • Usage monitoring
50+
Models

Model Registry

Manage multiple models per workspace and assign them to channels, agents, and scopes.

  • Provider + model catalog
  • Per-workspace isolation
  • Environment separation
  • Versioned configs
95%
Success rate

Routing & Fallbacks

Route by cost, latency, capability, or language — with safe fallbacks and A/B tests.

  • Intelligent routing rules
  • Fallback chains
  • A/B testing
  • Performance comparison

Supported API Providers

Connect your preferred providers without locking into a single vendor.

OpenAI

General-purpose language, vision, and audio model families for assistants, search, and content generation.

  • Chat & assistant models
  • Multimodal reasoning models
  • Embeddings & tools

Anthropic

Safety-focused assistant and reasoning model families for enterprise-grade conversations.

  • Assistant-style models
  • Long-context reasoning models
  • Enterprise safety tooling

Google

Google AI model families for search, conversation, and multimodal experiences.

  • Search & conversation models
  • Multimodal models
  • Enterprise ML services

Azure OpenAI

Enterprise OpenAI services with Azure compliance, observability, and governance.

  • Managed foundation models
  • Enterprise security & compliance
  • Monitoring & observability

Custom APIs

Your own in-house or domain-specific model APIs, fully controlled by your team.

  • Internal model gateways
  • Domain-specific models
  • Private inference endpoints

Industry-Specific Models

Examples of domain-focused model stacks teams connect to MonoChat.

E-commerce

  • Product recommendation engine
  • Customer sentiment analysis
  • Price optimization model
  • Inventory prediction

Healthcare

  • Medical intake assistant
  • Patient triage system
  • Drug interaction checker
  • Symptom analysis

Finance

  • Fraud detection system
  • Credit scoring model
  • Risk assessment tool
  • Compliance summaries

Education

  • Personalized learning path
  • Student performance predictor
  • Content recommendation
  • Automated grading

Easy Integration Process

Get your custom models up and running with a clean, repeatable setup.

01

Add API Credentials

Securely add your provider keys and restrict access by role.

  • Encrypted storage
  • Workspace isolation
  • RBAC permissions
  • Connection validation
02

Configure Routing

Set model preferences, fallbacks, and rules per channel, agent, or workflow.

  • Routing by cost/latency
  • Fallback chains
  • A/B testing
  • Guardrails & limits
03

Test & Deploy

Run tests, monitor performance, and roll out safely to production.

  • Connectivity checks
  • Live monitoring
  • Gradual rollout
  • Usage analytics

Enterprise-Grade Security

Protect credentials and enforce governance for every model and workspace.

Credential Encryption

All provider credentials are encrypted at rest and in transit.

Access Control

Granular permissions with role-based access control (RBAC).

Audit Logging

Full audit trail of model configuration changes and usage.

Workspace Isolation

Data and model configurations are isolated per workspace.

Ready to Connect Your Models?

Add credentials, configure routing, and run multi-model assistants in MonoChat — with governance and monitoring.

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