Add dockerfile & docker compose method (#239)

* Add dockerfile & docker compose method

* delete docker compose files & update dockerfile to uv mode

Author: Shawnzheng011019

Dockerfile

@@ -0,0 +1,19 @@
+FROM ghcr.io/astral-sh/uv:python3.10-bookworm-slim
+
+WORKDIR /app
+
+RUN mkdir -p /tmp/uv-cache /app/data /app/logs
+
+COPY pyproject.toml uv.lock LICENSE README.md ./
+COPY deepsearcher/ ./deepsearcher/
+
+RUN uv sync 
+
+COPY . .
+
+EXPOSE 8000
+
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD curl -f http://localhost:8000/docs || exit 1
+
+CMD ["uv", "run", "python", "main.py", "--enable-cors", "true"] 

docs/usage/deployment.md

@@ -35,4 +35,39 @@ You can access the web service through your browser:
 3. Click the "Try it out" button on any endpoint to interact with it
 4. Fill in the required parameters and execute the request
 
-This interactive documentation makes it easy to test and use all DeepSearcher API functionality. 
+This interactive documentation makes it easy to test and use all DeepSearcher API functionality.
+
+## 🐳 Docker Deployment
+
+You can also deploy DeepSearcher using Docker for easier environment setup and management.
+
+### Build Docker Image
+
+To build the Docker image, run the following command from the project root directory:
+
+```shell
+docker build -t deepsearcher:latest .
+```
+
+This command builds a Docker image using the Dockerfile in the current directory and tags it as `deepsearcher:latest`.
+
+### Run Docker Container
+
+Once the image is built, you can run it as a container:
+
+```shell
+docker run -p 8000:8000 \
+  -e OPENAI_API_KEY=your_openai_api_key \
+  -v $(pwd)/data:/app/data \
+  -v $(pwd)/logs:/app/logs \
+  -v $(pwd)/deepsearcher/config.yaml:/app/deepsearcher/config.yaml \
+  deepsearcher:latest
+```
+
+This command:
+- Maps port 8000 from the container to port 8000 on your host
+- Sets the `OPENAI_API_KEY` environment variable
+- Mounts the local `data`, `logs`, and configuration file to the container
+- Runs the previously built `deepsearcher:latest` image
+
+> **Note:** Replace `your_openai_api_key` with your actual OpenAI API key, or set any other environment variables required for your configuration. 

env.example

@@ -0,0 +1,51 @@
+# Copy this file to .env and fill in your API keys
+
+# OpenAI API Key (required if using OpenAI models)
+OPENAI_API_KEY=your_openai_api_key_here
+
+# DeepSeek API Key (required if using DeepSeek models)
+DEEPSEEK_API_KEY=your_deepseek_api_key_here
+
+# SiliconFlow API Key (required if using SiliconFlow models)
+SILICONFLOW_API_KEY=your_siliconflow_api_key_here
+
+# PPIO API Key (required if using PPIO models)
+PPIO_API_KEY=your_ppio_api_key_here
+
+# Together AI API Key (required if using Together AI models)
+TOGETHER_API_KEY=your_together_api_key_here
+
+# XAI API Key (required if using XAI Grok models)
+XAI_API_KEY=your_xai_api_key_here
+
+# Anthropic API Key (required if using Claude models)
+ANTHROPIC_API_KEY=your_anthropic_api_key_here
+
+# Gemini API Key (required if using Gemini models)
+GEMINI_API_KEY=your_gemini_api_key_here
+
+# Voyage API Key (required if using Voyage embeddings)
+VOYAGE_API_KEY=your_voyage_api_key_here
+
+# FireCrawl API Key (required if using web crawling features)
+FIRECRAWL_API_KEY=your_firecrawl_api_key_here
+
+# Aliyun Bailian API Key (required if using Qwen models from Aliyun)
+DASHSCOPE_API_KEY=your_dashscope_api_key_here
+
+# Azure OpenAI Configuration (required if using Azure OpenAI)
+AZURE_OPENAI_ENDPOINT=your_azure_openai_endpoint_here
+AZURE_OPENAI_KEY=your_azure_openai_key_here
+
+# AWS Credentials (required if using AWS Bedrock)
+AWS_ACCESS_KEY_ID=your_aws_access_key_id_here
+AWS_SECRET_ACCESS_KEY=your_aws_secret_access_key_here
+
+# Novita API Key (required if using Novita models)
+NOVITA_API_KEY=your_novita_api_key_here
+
+# GLM API Key (required if using GLM models)
+GLM_API_KEY=your_glm_api_key_here
+
+# Volcengine API Key (required if using Volcengine models)
+VOLCENGINE_API_KEY=your_volcengine_api_key_here