deepdata: core product code (backend, frontend, runtime, deepflow module)

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figmar
2026-08-30 19:23:38 +08:00
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# DeepFlow 服务
## 概述
DeepFlow 是一个 LLM 驱动的服务,用于规划和推理任务,支持多种 LLM 提供商。
## 架构
```
runtime/deepflow/
├── conf.yaml # DeepFlow 配置文件
├── .env # 环境变量
└── (其他源代码)
```
## 配置
### 基本配置 (conf.yaml)
```yaml
# 基础模型配置
BASIC_MODEL:
base_url: https://api.example.com/v1
model: "model-name"
api_key: your_api_key
max_retries: 3
verify_ssl: false # 如果使用自签名证书,设为 false
# 推理模型配置(可选)
REASONING_MODEL:
base_url: https://api.example.com/v1
model: "reasoning-model-name"
api_key: your_api_key
max_retries: 3
# 搜索引擎配置(可选)
SEARCH_ENGINE:
engine: tavily
include_domains:
- example.com
- trusted-news.com
exclude_domains:
- spam-site.com
search_depth: "advanced"
include_raw_content: true
include_images: true
include_image_descriptions: true
min_score_threshold: 0.0
max_content_length_per_page: 4000
```
## 支的 LLM 提供商
#### OpenAI
```yaml
BASIC_MODEL:
base_url: https://api.openai.com/v1
model: "gpt-4"
api_key: sk-...
```
#### Ollama (本地部署)
```yaml
BASIC_MODEL:
base_url: "http://localhost:11434/v1"
model: "qwen2:7b"
api_key: "ollama"
verify_ssl: false
```
#### Google AI Studio
```yaml
BASIC_MODEL:
platform: "google_aistudio"
model: "gemini-2.5-flash"
api_key: your_gemini_api_key
```
## 开发
### 添加新的 LLM 提供商
1. 在 `conf.yaml` 添加新的模型配置
2. 实现对应的 API 调用逻辑
3. 测试连接和推理
### 自定义提示词模板
1. 创建提示词模板文件
2. 在 `conf.yaml` 引用模板
3. 测试提示词效果
## 文档
- [DeepFlow 模块说明](../../deepflow/README_zh.md)
## 相关链接
- [运行时 README](../README.md)
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# DeepFlow Service
## Overview
DeepFlow is an LLM-driven service for planning and reasoning tasks, supporting multiple LLM providers.
## Architecture
```
runtime/deepflow/
├── conf.yaml # DeepFlow configuration file
├── .env # Environment variables
└── (other source code)
```
## Configuration
### Basic Configuration (conf.yaml)
```yaml
# Basic model configuration
BASIC_MODEL:
base_url: https://api.example.com/v1
model: "model-name"
api_key: your_api_key
max_retries: 3
verify_ssl: false # Set to false if using self-signed certificates
# Reasoning model configuration (optional)
REASONING_MODEL:
base_url: https://api.example.com/v1
model: "reasoning-model-name"
api_key: your_api_key
max_retries: 3
# Search engine configuration (optional)
SEARCH_ENGINE:
engine: tavily
include_domains:
- example.com
- trusted-news.com
exclude_domains:
- spam-site.com
search_depth: "advanced"
include_raw_content: true
include_images: true
include_image_descriptions: true
min_score_threshold: 0.0
max_content_length_per_page: 4000
```
## Supported LLM Providers
#### OpenAI
```yaml
BASIC_MODEL:
base_url: https://api.openai.com/v1
model: "gpt-4"
api_key: sk-...
```
#### Ollama (Local Deployment)
```yaml
BASIC_MODEL:
base_url: "http://localhost:11434/v1"
model: "qwen2:7b"
api_key: "ollama"
verify_ssl: false
```
#### Google AI Studio
```yaml
BASIC_MODEL:
platform: "google_aistudio"
model: "gemini-2.5-flash"
api_key: your_gemini_api_key
```
## Development
### Adding a New LLM Provider
1. Add new model configuration in `conf.yaml`
2. Implement corresponding API call logic
3. Test connection and inference
### Customizing Prompt Templates
1. Create a prompt template file
2. Reference the template in `conf.yaml`
3. Test prompt effectiveness
## Documentation
- [DeepFlow Module README](../../deepflow/README.md)
## Related Links
- [Runtime README](../README.md)
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# [!NOTE]
# Read the `docs/configuration_guide.md` carefully, and update the
# configurations to match your specific settings and requirements.
# - Replace `api_key` with your own credentials.
# - Replace `base_url` and `model` name if you want to use a custom model.
# - Set `verify_ssl` to `false` if your LLM server uses self-signed certificates
# - A restart is required every time you change the `conf.yaml` file.
# BASIC_MODEL:
# base_url: https://ark.cn-beijing.volces.com/api/v3
# model: "doubao-1-5-pro-32k-250115"
# api_key: xxxx
# max_retries: 3 # Maximum number of retries for LLM calls
# verify_ssl: false # Uncomment this line to disable SSL certificate verification for self-signed certificates
# Local model configuration example:
# Ollama (Tested and supported for local development)
# BASIC_MODEL:
# base_url: "http://localhost:11434/v1" # Ollama OpenAI compatible endpoint
# model: "qwen3:14b" # or "llama3.2", etc.
# api_key: "ollama" # Ollama doesn't need real API key
# max_retries: 3
# verify_ssl: false # Local deployment usually doesn't need SSL verification
# To use Google Ai Studio as your basic platform:
# BASIC_MODEL:
# platform: "google_aistudio"
# model: "gemini-2.5-flash" # or "gemini-1.5-pro", "gemini-2.5-flash-exp", etc.
# api_key: your_gemini_api_key # Get from https://aistudio.google.com/app/apikey
# max_retries: 3
# Reasoning model is optional.
# Uncomment the following settings if you want to use reasoning model
# for planning.
# REASONING_MODEL:
# base_url: https://ark.cn-beijing.volces.com/api/v3
# model: "doubao-1-5-thinking-pro-m-250428"
# api_key: xxxx
# max_retries: 3 # Maximum number of retries for LLM calls
# OTHER SETTINGS:
# Search engine configuration (Only supports Tavily currently)
# SEARCH_ENGINE:
# engine: tavily
# # Only include results from these domains
# include_domains:
# - example.com
# - trusted-news.com
# - reliable-source.org
# - gov.cn
# - edu.cn
# # Exclude results from these domains
# exclude_domains:
# - example.com
# # Include an answer in the search results
# include_answer: false
# # Search depth: "basic" or "advanced"
# search_depth: "advanced"
# # Include raw content from pages
# include_raw_content: true
# # Include images in search results
# include_images: true
# # Include descriptions for images
# include_image_descriptions: true
# # Minimum score threshold for results (0-1)
# min_score_threshold: 0.0
# # Maximum content length per page
# max_content_length_per_page: 4000