Xcode-Intelligence-Proxy/models.toml at main · learningpro/Xcode-Intelligence-Proxy · GitHub

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# 服务器配置
[server]
port = 3000
host = "0.0.0.0"
max_retries = 3
retry_delay = 1000  # 毫秒
request_timeout = 60000  # 毫秒

# 模型供应商配置

[zhipu]
api_url = "https://open.bigmodel.cn/api/paas/v4"
type = "zhipu"
api_key = ""  # 直接填写API密钥，或通过环境变量ZHIPU_API_KEY设置
models = [
    { id = "glm-4.6", name = "GLM-4.6" }
]

[kimi]
api_url = "https://api.moonshot.cn/v1"
type = "kimi"
api_key = ""  # 直接填写API密钥，或通过环境变量KIMI_API_KEY设置
models = [
    { id = "kimi-k2-0905-preview", name = "Kimi K2" }
]

[deepseek]
api_url = "https://api.deepseek.com"
type = "deepseek"
api_key = ""  # 直接填写API密钥，或通过环境变量DEEPSEEK_API_KEY设置
models = [
    { id = "deepseek-reasoner", name = "DeepSeek Reasoner" },
    { id = "deepseek-chat", name = "DeepSeek Chat" }
]

[t8star]
api_url = "https://ai.t8star.cn/v1"  # 默认API URL
type = "t8star"
api_key = ""  # 直接填写API密钥，或通过环境变量T8STAR_API_KEY设置
# T8Star模型列表：
# 可以直接在此处填写，或者通过环境变量T8STAR_MODELS设置（格式：model1,model2,...）
models = [
    { id = "grok-4.1", name = "grok-4.1" },
    { id = "gpt-5.1-2025-11-13", name = "gpt-5.1-2025-11-13" }
]

[kuai]
api_url = "https://api.kuai.host/v1"  # 默认API URL
type = "openai" # 跟贞贞的AI工坊相似的聚合站点，写t8star或者openai
api_key = ""
models = [
    { id = "claude-opus-4-1-20250805", name = "claude-opus-4-1-20250805" },
    { id = "gpt-5.1", name = "gpt-5.1" }
]

# 示例：添加新供应商配置
# [new_provider]
# api_url = "https://api.new-provider.com/v1"
# type = "new_provider"
# api_key = "your_api_key_here"
# models = [
#     { id = "new-model-1", name = "New Model 1" },
#     { id = "new-model-2", name = "New Model 2" }
# ]

# 自定义模型配置（通过JSON字符串定义，可选）
# 格式：[{"id": "model_id", "api_url": "https://api.example.com", "api_key": "key", "type": "openai", "name": "Model Name"}]
[custom]
custom_models_json = ""