LLM Proxy Tool Calling Support
Enable powerful function calling capabilities through your proxy layer. Let AI models execute real-world actions like API calls, database queries, and external integrations with full security and control.
Supported Tool Types
Enable various tool types through your proxy for extended AI capabilities.
API Calls
Let LLMs call external REST APIs to fetch real-time data, submit forms, or integrate with third-party services.
- GET/POST/PUT/DELETE requests
- Custom headers support
- Response parsing
- Error handling
Database Queries
Execute database queries safely through parameterized functions. Read data without exposing connection strings.
- SQL query execution
- NoSQL document queries
- Parameterized inputs
- Result formatting
Communication
Send emails, SMS, or push notifications. Let AI agents communicate with users through multiple channels.
- Email sending
- SMS integration
- Webhook triggers
- Notification queues
Data Processing
Process and transform data through custom functions. Calculate metrics, format outputs, or aggregate results.
- Custom calculations
- Data transformations
- Format conversion
- Validation logic
Search & Retrieval
Enable web search, document retrieval, or knowledge base queries for up-to-date information access.
- Web search integration
- Document retrieval
- RAG support
- Vector search
Automation
Trigger automated workflows, schedule tasks, or execute business logic through custom tool functions.
- Workflow triggers
- Task scheduling
- Business rules
- System integration
Provider Support
Unified tool calling interface across major LLM providers.
Function Calling API
- ✓ Parallel function calls
- ✓ Structured outputs
- ✓ JSON Schema validation
- ✓ GPT-4 Turbo support
Tool Use API
- ✓ Extended thinking
- ✓ Multi-tool selection
- ✓ Claude 3.5 support
- ✓ Complex tool chains
Function Calling
- ✓ Gemini integration
- ✓ Parameter validation
- ✓ Multiple tools
- ✓ Vertex AI support
Implementation Example
How to implement tool calling through your proxy layer.
// Define available tools for the LLM const tools = [ { type: "function", function: { name: "get_weather", description: "Get current weather for a location", parameters: { type: "object", properties: { location: { type: "string", description: "City name, e.g. San Francisco" }, unit: { type: "string", enum: ["celsius", "fahrenheit"] } }, required: ["location"] } } } ]; // Proxy handles tool execution async function executeToolCall(toolName, args) { if (toolName === 'get_weather') { // Execute weather API call return await fetchWeather(args.location, args.unit); } }
async function handleToolCall(toolCall) { const { name, arguments: args } = toolCall.function; // Validate tool name against allowed list if (!isAllowedTool(name)) { throw new Error(`Tool ${name} not permitted`); } // Execute tool with rate limiting await checkRateLimit(toolCall.user_id); // Run tool function const result = await toolRegistry.execute(name, JSON.parse(args)); // Return result for LLM to process return { tool_call_id: toolCall.id, role: "tool", content: JSON.stringify(result) }; }
Implementation Benefits
Key advantages of enabling tool calling through your proxy.
Secure Execution
All tool calls execute server-side, protecting your API keys, database credentials, and internal systems from exposure.
Usage Tracking
Monitor which tools are called, how often, and by whom. Track costs and optimize tool usage patterns.
Rate Limiting
Apply rate limits per tool, per user, or globally. Prevent abuse and manage costs across tool executions.
Provider Abstraction
Write tools once, use with any LLM provider. Unified interface for OpenAI, Anthropic, and Google function calling.
Enable Tool Calling Today
Extend your LLM proxy with powerful tool calling capabilities. Let AI execute real-world actions with full security and control.