切换成new-api方式进行llm调用

README.md

@@ -2,7 +2,7 @@
 
 This project exposes a FastAPI-based microservice that provides:
 
-- A unified chat completions gateway supporting multiple LLM providers (OpenAI, Anthropic, OpenRouter, Gemini, Qwen, DeepSeek, etc.)
+- A unified chat completions gateway that now forwards requests to the internal `new-api` service (default `http://localhost:3000`) while preserving the same client-facing schema.
 - An asynchronous data import analysis pipeline that orchestrates LLM calls to produce structured metadata and processing recommendations
 
 The following instructions cover environment setup, dependency installation, and running the backend service.
@@ -56,6 +56,7 @@ Copy `.env.example` to `.env` (if provided) or edit `.env` to supply API keys an
 - `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `OPENROUTER_API_KEY`, etc.
 - `HTTP_CLIENT_TIMEOUT`, `IMPORT_CHAT_TIMEOUT_SECONDS`
 - `LOG_LEVEL`, `LOG_FORMAT` for logging
+- `NEW_API_BASE_URL` (defaults to `http://localhost:3000`) and optional `NEW_API_AUTH_TOKEN` if the new-api component enforces authentication.
 
 
 ## Run the Backend Service
@@ -84,4 +85,4 @@ Or use a process manager such as `pm2`, `supervisor`, or systemd for production
 
 - Run the data import analysis example: `python test/data_import_analysis_example.py`
 - Test the OpenRouter demo: `python test/openrouter_chat_example.py`
-- Send a DeepSeek chat request script: `python scripts/deepseek_request.py`
+- Send a DeepSeek chat request script: `python scripts/deepseek_request.py`