AI Provider Configuration
Configure your preferred AI provider to power ChatterMate’s intelligent customer support capabilities.
Available Providers
ChatterMate supports multiple AI providers, giving you the flexibility to choose the one that best fits your needs:OpenAI
GPT-4.1, GPT-4o, and o-series models
Anthropic (Claude)
Claude Opus, Sonnet, and Haiku
Google Gemini
Gemini 2.5 Pro / Flash
Mistral
Mistral Large, Medium, and Small
xAI (Grok)
Grok 4 and Grok 3
DeepSeek
DeepSeek Chat and Reasoner
Groq
Ultra-fast inference (GPT-OSS, Llama)
Configuration Fields
AI Provider
Select your provider from the grid. All listed providers support tool calling and structured output, so any of them works with ChatterMate’s agents, knowledge search, and workflows:- OpenAI (Recommended): Best-in-class models with consistent performance
- Anthropic (Claude): Strong reasoning and analysis
- Google Gemini: Large context windows, great price/performance
- Mistral / xAI (Grok) / DeepSeek / Groq: Cost, speed, and self-hosting-friendly options
Model Name
Pick a suggested model from the dropdown, or choose “Custom model ID” to type any model your provider supports (handy when a provider ships a new model before this list updates). Suggested models:Model IDs change over time as providers release and retire models. If a suggested ID stops working, use Custom model ID and paste the current identifier from your provider’s docs.
API Key
Your provider’s API key for authentication. Security measures:- Keys are encrypted before storage
- Keys are never logged or exposed in plaintext
- Access is restricted to authorized systems only
- Regular key rotation is supported
- Compliance with SOC 2 standards
Never share your API keys or commit them to version control. ChatterMate encrypts and stores them securely.
Best Practices
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Provider Selection
- Start with OpenAI’s GPT-4.1 / GPT-4o for best overall performance
- Consider Anthropic’s Claude for complex reasoning tasks
- Use Groq (GPT-OSS / Llama) when you want the fastest, lowest-cost inference
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Model Choice
- Balance between capability and cost
- Test different models before production
- Monitor usage and adjust as needed
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Security
- Use environment-specific API keys
- Rotate keys periodically
- Monitor usage for anomalies
What’s Next?
After configuring your AI provider:- Test the configuration with sample queries
- Customize the AI agent’s behavior
- Add domain knowledge to improve responses
- Set up human handoff rules
Customize AI Agent
Next: Learn how to customize your AI agent’s behavior