API integration requires the following key operational processes to be completed:
- environmental preparation: Install the Docker environment (recommended version 20.10+)
- Starting the proxy service: Implementation
docker run -p 8080:8080 ghcr.io/.../privatemode-proxycommand, be careful to replace it with the real API key - Write the calling code: Sample Python code to access the proxy via localhost:8080, the request header should contain Content-Type: application/json
- Model Selection: Different open source models (e.g., Meta-Llama-3 series) can be specified in the request body to support quantitative modeling to improve performance.
Advanced feature implementation:
- Document processing: documents need to be converted to Base64 encoding first and sent via the /v1/document endpoints
- Request validation: each call will automatically check the server-side hardware certificate to ensure that it has not been tampered with
- Error handling: Terminate the session immediately when "service_untrusted" is returned.
It is recommended that developers refer to the flow-limiting strategy and retry mechanism in the official API documentation to ensure service stability.
This answer comes from the articlePrivatemode: an AI chat app that offers end-to-end encryption to protect enterprise data privacyThe
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