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Customization

Zild Chat behavior is defined by its Agent configuration and model settings. Customization ensures that the AI behaves according to your business requirements.

Model Configuration

You can configure:
  • AI model provider (Azure OpenAI or OpenAI)
  • Model version
  • Temperature (creativity level)
  • Response length limits
  • Tool usage permissions
Model selection impacts:
  • Cost
  • Latency
  • Reasoning capability
  • Output style

System Instructions

System instructions define:
  • Role of the assistant
  • Tone and communication style
  • Business constraints
  • Prohibited actions
  • Escalation policies
Example configurations:
  • Internal knowledge assistant
  • Technical support assistant
  • Legal document analyzer
  • Sales content generator
Clear system instructions improve reliability.

Tool Access Control

Zild Chat can allow or restrict:
  • Database queries
  • API calls
  • Document processing
  • CRM updates
  • Workflow triggers
Tools should follow the principle of least privilege.

Knowledge Integration

You may configure:
  • Structured knowledge base
  • Embedded documents
  • FAQ collections
  • Internal policies
Knowledge integration improves domain accuracy.

Conversation Management

Administrators can configure:
  • Session persistence duration
  • Conversation retention policy
  • Export permissions
  • Role-based access visibility
This supports compliance and governance.

Security & Governance

Zild Chat enforces:
  • Tenant isolation
  • Role-based access
  • Audit logging
  • Controlled integration execution
Conversations remain within tenant boundaries and are not shared externally.

Best Practices

For enterprise deployment:
  • Clearly define system instructions
  • Limit unnecessary tool access
  • Monitor usage trends
  • Review conversation logs regularly
  • Adjust temperature for consistency
  • Test before expanding access
Proper customization ensures predictable and secure AI usage.

Summary

Zild Chat provides:
  • Direct generative AI interaction
  • Controlled model configuration
  • Structured tool access
  • Knowledge-grounded responses
  • Enterprise governance
It enables organizations to deploy ChatGPT-like capabilities within a secure and auditable environment.