Enhance local deployment.

.gitignore

@@ -4,6 +4,8 @@
 **/node_modules/**
 .DS_Store
 *.tsbuildinfo
+apps/api/.env_llm_models.yaml # Added to ignore the actual LLM config file
+apps/api/.env_emb_models.yaml # Added to ignore the actual Embedding config file
 
 dist
 .turbo
@@ -26,4 +28,7 @@ common/autoinstallers/*/.npmrc
 *.chunks.jsonl
 
 # mise
-mise.toml
+mise.toml
+.vscode/
+deploy/docker/datalab/
+marker_output/

apps/api/.env.example

@@ -36,7 +36,7 @@ SERPER_API_KEY=
 NODE_ENV=development
 PORT=5800
 WS_PORT=5801
-ORIGIN=http://localhost:5700
+ORIGIN=http://localhost:5700,http://localhost:5173
 
 # Static Endpoint Configuration
 STATIC_PUBLIC_ENDPOINT=
@@ -125,7 +125,7 @@ RERANKER_MODEL=jina-reranker-v2-base-multilingual
 RERANKER_RELEVANCE_THRESHOLD=0.5
 
 # Skill Configuration
-SKILL_IDLE_TIMEOUT=10000
+SKILL_IDLE_TIMEOUT=60000
 SKILL_EXECUTION_TIMEOUT=180000
 
 # Stripe Configuration

apps/api/.env_emb_models.yaml.example

@@ -0,0 +1,14 @@
+# apps/api/.env_emb_models.yaml.example (仅 Ollama)
+# !!! 严重警告: 此文件可能直接包含敏感信息 !!!
+# !!! 必须将此文件添加到 .gitignore !!!
+# !!! 严格控制文件访问权限 !!!
+providers:
+  ollama:
+    # Ollama 服务的基础 URL
+    baseUrl: http://localhost:11434
+    # 当 .env 中 EMBEDDINGS_MODEL_NAME 未指定时使用的默认模型名称
+    defaultModel: "nomic-embed-text"
+    # 可选: 模型特定参数 (如果 Langchain 类支持)
+    # models:
+    #   nomic-embed-text:
+    #     keepAlive: -1

apps/api/.env_llm_models.yaml.example

@@ -0,0 +1,38 @@
+# .env_llm_models.yaml.example - OpenAI 兼容 LLM 模型端点配置示例
+# !!! 警告: 请勿在此文件中存储真实的 API Key !!!
+# !!! 真实的 API Key 应存储在 .env_llm_models.yaml 文件中，并确保该文件已添加到 .gitignore !!!
+
+endpoints:
+  - name: "openrouter_example" # 端点名称，供内部识别
+    # !!! 使用环境变量或安全的方式管理 API Key，不要直接写在这里 !!!
+    api_key: "sk-or-replace-with-your-openrouter-key" # 示例 Key，请替换
+    base_url: "https://openrouter.ai/api/v1"
+    # 此端点支持的模型列表 (必须是 OpenAI 兼容的)
+    models:
+      - "openai/gpt-4-turbo"
+      - "anthropic/claude-3-opus-20240229" # 通过 OpenRouter 访问
+      - "google/gemini-pro"             # 通过 OpenRouter 访问
+    # configuration: # 可选的额外配置, 会传递给 ChatDeepSeek (最终是 ChatOpenAI) 的 configuration
+    #   defaultHeaders:
+    #     'HTTP-Referer': 'https://your-app-url.com' # 替换为你的应用 URL
+    #     'X-Title': 'YourAppName' # 替换为你的应用名称
+    #   # 其他 ChatOpenAI 支持的 configuration 选项...
+
+  - name: "openai_direct_example"
+    api_key: "sk-replace-with-your-openai-key" # 示例 Key，请替换
+    # base_url: "https://api.openai.com/v1" # 可选，如果需要覆盖 ChatDeepSeek 默认或 ChatOpenAI 默认
+    models:
+      - "gpt-4-turbo"
+      - "gpt-3.5-turbo"
+    # configuration: {} # 可选
+
+  - name: "deepseek_direct_example"
+    api_key: "sk-replace-with-your-deepseek-key" # 示例 Key，请替换
+    # base_url: "https://api.deepseek.com" # 可选，ChatDeepSeek 默认会用这个
+    models:
+      - "deepseek-chat"
+      - "deepseek-coder"
+    # configuration: {} # 可选
+
+# 可以继续添加更多 OpenAI 兼容的端点示例...
+# 注意：不再需要 class_name 字段

apps/api/.env_rerank_models.yaml.example

@@ -0,0 +1,41 @@
+# Reranker Provider Configuration Example
+
+# Optional: Specify the default reranker provider to use.
+# If set to 'xinference', the configuration under 'rerankerProviders.xinference' will be used by default.
+# If set to 'jina', or if this field is omitted or the file doesn't exist,
+# the system will default to using the Jina reranker configured via .env variables.
+defaultProvider: xinference # Options: 'jina', 'xinference' (add others like 'ollama' later)
+
+rerankerProviders:
+  # Configuration for the Xinference reranker provider
+  xinference:
+    # Type identifier, must be 'xinference'
+    type: xinference
+
+    # Base URL of your running Xinference service (Required)
+    # Example: http://localhost:9997 or http://<your-xinference-ip>:9997
+    baseUrl: http://localhost:9997
+
+    # Name of the reranker model deployed in Xinference (Required)
+    # Example: bge-reranker-base, bge-reranker-v2-m3
+    modelName: bge-reranker-base
+
+    # API Key for Xinference service, if authentication is enabled (Optional)
+    # If your Xinference instance does not require an API key, omit this field or leave it empty.
+    apiKey: YOUR_XINFERENCE_API_KEY_IF_NEEDED
+
+    # Maximum number of results to return after reranking (Required for Xinference)
+    topN: 5
+
+    # Relevance score threshold (Required for Xinference)
+    # Results with a score below this threshold will be filtered out.
+    relevanceThreshold: 0.6
+
+  # Configuration for other providers like Ollama can be added here later
+  # ollama:
+  #   type: ollama
+  #   baseUrl: ...
+  #   modelName: ...
+  #   apiKey: ...
+  #   topN: ...
+  #   relevanceThreshold: ...