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Configuration

Achiral AI is a privacy-first AI platform for businesses with enterprise-grade, self-hosted, secure infrastructure. Configure your Chiro AI instance to meet your specific requirements. Achiral provides flexible configuration options for quotas, environment variables, network settings, and model training.

Overview​

Each Chiro instance comes pre-configured with optimal defaults based on your selected plan. However, you can customize various aspects of your deployment to match your workload requirements.

Configuration Categories​

Quota Management​

Manage token limits, request concurrency, and rate limits based on your plan tier (Spark, Seed, Scale, Dedicated).

Quotas are automatically enforced based on your plan. Upgrade your plan to increase limits.

Environment Variables​

Set custom environment variables to control model behavior, API endpoints, logging levels, and integration parameters.

Learn more about Environment Variables →

Network Settings​

Configure network access, IP allowlisting, VPC peering, and API endpoint customization for secure connectivity.

Learn more about Network Settings →

Training Data Options​

Manage training data for custom fine-tuning with configurable retention policies.

Learn more about Training Data Options →

Quick Configuration​

Most common configurations can be managed through the Achiral dashboard:

  1. Navigate to your organization dashboard
  2. Select your Chiro instance
  3. Click Configuration in the sidebar
  4. Modify settings as needed
  5. Click Save Changes to apply

Changes are applied without downtime.

Configuration via API​

Advanced users can configure their Chiro instances programmatically using the Achiral API:

curl -X PATCH https://api.achiral.ai/v1/organizations/{org_id}/config \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "quotas": {
      "max_concurrent_requests": 100,
      "max_tokens_per_request": 8192
    },
    "network": {
      "allowed_ips": ["203.0.113.0/24"]
    }
  }'

Best Practices​

  • Start with defaults: The pre-configured settings are optimized for most use cases
  • Monitor before scaling: Use the built-in monitoring to understand resource utilization before upgrading plan tiers
  • Test configuration changes: Validate changes in a test environment before applying to production
  • Document custom settings: Keep records of any custom configurations for your team

Next Steps​

Learn more​