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Add support for Codex model in provider logic and update documentation for claude code

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Luis Pater
2025-08-16 02:02:44 +08:00
parent de7b8501cc
commit 4155805ad6
3 changed files with 43 additions and 0 deletions
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20
README.md
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@@ -262,6 +262,26 @@ The server will relay the `loadCodeAssist`, `onboardUser`, and `countTokens` req
> This feature only allows local access because I couldn't find a way to authenticate the requests.
> I hardcoded `127.0.0.1` into the load balancing.
## Claude Code with multiple account load balancing
Start CLI Proxy API server, and then set the `ANTHROPIC_BASE_URL`, `ANTHROPIC_AUTH_TOKEN`, `ANTHROPIC_MODEL`, `ANTHROPIC_SMALL_FAST_MODEL` environment variables.
```bash
export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
export ANTHROPIC_AUTH_TOKEN=sk-dummy
export ANTHROPIC_MODEL=gemini-2.5-pro
export ANTHROPIC_SMALL_FAST_MODEL=gemini-2.5-flash
```
or
```bash
export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
export ANTHROPIC_AUTH_TOKEN=sk-dummy
export ANTHROPIC_MODEL=gpt-5
export ANTHROPIC_SMALL_FAST_MODEL=codex-mini-latest
```
## Run with Docker
Run the following command to login (Gemini OAuth on port 8085):

21
README_CN.md
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@@ -263,6 +263,27 @@ export CODE_ASSIST_ENDPOINT="http://127.0.0.1:8317"
> 此功能仅允许本地访问，因为找不到一个可以验证请求的方法。
> 所以只能强制只有 `127.0.0.1` 可以访问。
## Claude Code 的使用方法
启动 CLI Proxy API 服务器, 设置如下系统环境变量 `ANTHROPIC_BASE_URL`, `ANTHROPIC_AUTH_TOKEN`, `ANTHROPIC_MODEL`, `ANTHROPIC_SMALL_FAST_MODEL`
```bash
export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
export ANTHROPIC_AUTH_TOKEN=sk-dummy
export ANTHROPIC_MODEL=gemini-2.5-pro
export ANTHROPIC_SMALL_FAST_MODEL=gemini-2.5-flash
```
或者
```bash
export ANTHROPIC_BASE_URL=http://127.0.0.1:8317
export ANTHROPIC_AUTH_TOKEN=sk-dummy
export ANTHROPIC_MODEL=gpt-5
export ANTHROPIC_SMALL_FAST_MODEL=codex-mini-latest
```
## 使用 Docker 运行
运行以下命令进行登录（Gemini OAuth，端口 8085）：

2
internal/util/provider.go
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@@ -19,6 +19,8 @@ func GetProviderName(modelName string) string {
return "gemini"
} else if strings.Contains(modelName, "gpt") {
return "gpt"
} else if strings.Contains(modelName, "codex") {
return "gpt"
}
return "unknow"
}