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feat: Implement Web Search Tool (#32)
Implements web search functionality for LLMs with Google and DuckDuckGo support. Closes #31 Generated with [Claude Code](https://claude.ai/code) --------- Signed-off-by: Eden Reich <[email protected]> Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com> Co-authored-by: Eden Reich <[email protected]>
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.env.example

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GOOGLE_SEARCH_API_KEY=
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GOOGLE_SEARCH_ENGINE_ID=
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DUCKDUCKGO_SEARCH_API_KEY=

.golangci.yml

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lines: 150
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statements: 80
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gocognit:
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min-complexity: 25
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min-complexity: 45
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nestif:
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min-complexity: 4
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.infer/config.yaml

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enabled: true
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ttl: 3600
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max_size: 52428800
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web_search:
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enabled: true
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default_engine: duckduckgo
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max_results: 10
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engines:
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- duckduckgo
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- google
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timeout: 10

.markdownlint.json

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"MD013": {
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"line_length": 120
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},
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"MD029": false,
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"MD033": false
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}

.pre-commit-config.yaml

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- id: mixed-line-ending
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args: ['--fix=lf']
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- repo: https://github.com/golangci/golangci-lint
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rev: v2.3.1
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hooks:
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- id: golangci-lint
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- repo: local
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hooks:
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- id: mod-tidy
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language: system
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files: '(go\.mod|go\.sum)$'
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pass_filenames: false
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- id: markdownlint
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name: Markdown lint
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entry: flox activate -- markdownlint
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- id: lint
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name: Lint
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entry: flox activate -- task lint
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language: system
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files: '\.md$'
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pass_filenames: true
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pass_filenames: false

CLAUDE.md

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## Project Overview
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This is the Inference Gateway CLI (`infer`), a Go-based command-line tool for managing and interacting with machine learning inference services. The CLI provides functionality for status monitoring, interactive chat, and configuration management.
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This is the Inference Gateway CLI (`infer`), a Go-based command-line tool for managing and interacting with
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machine learning inference services. The CLI provides functionality for status monitoring, interactive chat, and
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configuration management.
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## Development Commands
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**Note: All commands should be run with `flox activate -- <command>` to ensure the proper development environment is activated.**
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**IMPORTANT: Always run `task setup` first when working with a fresh checkout of the repository to ensure all dependencies are properly installed.**
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**IMPORTANT: Always run `task setup` first when working with a fresh checkout of the repository to ensure all
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dependencies are properly installed.**
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### Setup Development Environment
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```bash
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flox activate -- task setup
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```
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### Building
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```bash
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flox activate -- task build
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```
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### Testing
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```bash
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# Run all tests
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flox activate -- task test
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```
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### Running locally
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```bash
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# Run the CLI with arguments
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flox activate -- task run CLI_ARGS="[command]"
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```
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### Installing from source
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```bash
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flox activate -- task install
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```
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### Code Quality
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```bash
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# Format code
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flox activate -- task fmt
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```
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### Module Management
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```bash
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# Tidy modules
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flox activate -- task mod:tidy
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```
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### Development Workflow
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```bash
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# Complete development workflow (format, build, test)
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flox activate -- task dev
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```
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### Release
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```bash
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# Build release binaries for multiple platforms
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flox activate -- task release:build
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```
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### Cleanup
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```bash
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flox activate -- task clean
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```
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### Available Tasks
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```bash
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# Show all available tasks
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flox activate -- task --list
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- `container/`: Dependency injection container
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### Configuration System
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The CLI uses a project-based YAML configuration file at `.infer/config.yaml` in the current directory with the following structure:
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The CLI uses a project-based YAML configuration file at `.infer/config.yaml` in the current directory with the
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following structure:
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```yaml
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gateway:
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url: "http://localhost:8080"
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chat:
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default_model: "" # Default model for chat sessions (when set, skips model selection)
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system_prompt: "" # System prompt included with every chat session
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web_search:
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enabled: true # Enable web search tool for LLMs
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default_engine: "duckduckgo" # Default search engine (duckduckgo, google)
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max_results: 10 # Default maximum number of search results
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engines: # Available search engines
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- "duckduckgo"
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- "google"
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timeout: 10 # Search timeout in seconds
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```
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### Command Structure
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- Root command: `infer`
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- Global flags: `--config`, `--verbose`
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- Subcommands:
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## Usage Examples
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### Setting a Default Model
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```bash
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# Set a default model for chat sessions
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infer config set-model gpt-4-turbo
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### Setting a System Prompt
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```bash
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# Set a system prompt for chat sessions
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infer config set-system "You are a helpful assistant."
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### Configuration Management
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```bash
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# Initialize a new project configuration
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infer config init
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### Tool Management
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```bash
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# Enable tool execution
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infer config tools enable
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### Web Search Tool
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The CLI includes a web search tool that allows LLMs to search the web using DuckDuckGo or Google search
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engines. DuckDuckGo is the default engine and works reliably out of the box.
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#### Recommended Setup
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For production use and reliable search results, configure API keys:
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**Google Search**:
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```bash
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export GOOGLE_SEARCH_API_KEY="your_api_key"
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export GOOGLE_SEARCH_ENGINE_ID="your_engine_id"
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```
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**DuckDuckGo** (optional):
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```bash
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export DUCKDUCKGO_SEARCH_API_KEY="your_api_key"
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```
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Both engines work without API keys using built-in fallback methods, but API integration provides better
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reliability and performance.
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#### Features
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- **Multiple Search Engines**: Supports DuckDuckGo (default) and Google
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- **Result Limiting**: Configure maximum number of results (default: 10)
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- **Format Options**: Return results in text or JSON format
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- **API Integration**: Best performance with official search APIs
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- **Configurable**: Enable/disable and customize through configuration
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#### Tool Parameters
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When the LLM uses the WebSearch tool, it can specify:
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- `query` (required): The search query string
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- `engine` (optional): Search engine to use ("duckduckgo" or "google")
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- `limit` (optional): Maximum number of results (1-50)
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- `format` (optional): Output format ("text" or "json")
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#### Example LLM Usage
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```json
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{
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"name": "WebSearch",
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"parameters": {
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"query": "golang web development tutorial",
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"engine": "duckduckgo",
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"limit": 5,
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"format": "text"
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}
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}
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```
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#### Setup Instructions
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1. **Google Custom Search API** (recommended for Google):
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- Get API key from [Google Cloud Console](https://console.cloud.google.com/)
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- Create a Custom Search Engine at [Google Programmable Search](https://programmablesearchengine.google.com/)
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- Set environment variables `GOOGLE_SEARCH_API_KEY` and `GOOGLE_SEARCH_ENGINE_ID`
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2. **DuckDuckGo**: Optionally set `DUCKDUCKGO_SEARCH_API_KEY` environment variable, or use built-in fallback (no setup required)
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Results include title, URL, and snippet for each search result.
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## Code Style Guidelines
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- **Inline Comments**: Do not write inline comments unless the code is genuinely unclear or requires specific explanation.

CONTRIBUTING.md

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## Commit Message Convention
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This project uses [Conventional Commits](https://www.conventionalcommits.org/) for commit messages. This allows us to automatically generate changelogs and determine version bumps.
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This project uses [Conventional Commits](https://www.conventionalcommits.org/) for commit messages.
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This allows us to automatically generate changelogs and determine version bumps.
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### Format
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```
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```text
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[optional body]
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## Release Process
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- Commits to `main` branch trigger automatic releases
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- Version numbers are determined by commit types:
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- `fix:` → patch version (1.0.1)

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