# Phase 3.4 Complete: Sampling Capabilities

## Overview

We have successfully implemented MCP Sampling capabilities, enabling the server to request completions from the client (LLM). This allows for "human-in-the-loop" workflows and intelligent parameter generation.

## Key Components Implemented

### 1. Sampling Infrastructure

- **`SamplingService`**: A dedicated service wrapper around the MCP `server.createMessage` API.
  - Handles error handling and logging.
  - Configurable via `SAMPLING_ENABLED`, `SAMPLING_MAX_TOKENS`, etc.
- **Configuration**: Added `sampling` section to `ServerConfig` and `defaultConfig`.
- **Schema Validation**: Updated `ServerConfigSchema` to validate sampling configuration.

### 2. Smart Search Tool (`smart_search`)

- **Purpose**: Demonstrates the power of sampling by converting natural language queries into structured CourtListener API parameters.
- **Workflow**:
  1. Receives a natural language query (e.g., "Find recent copyright cases in California").
  2. Uses `SamplingService` to ask the LLM to generate JSON search parameters.
  3. Validates the generated parameters.
  4. Executes the search using `CourtListenerAPI`.
  5. Returns the results.
- **Implementation**: `src/domains/enhanced/smart-search.ts`.

### 3. Code Quality & Build Stability

- **Strict Linting**: Resolved all strict TypeScript linting errors in `src/domains/enhanced/handlers.ts`.
  - Fixed `no-explicit-any` by using proper types (`Judge`, `Record<string, unknown>`).
  - Fixed `no-unused-vars` by renaming unused arguments to `_arg`.
- **Configuration Updates**: Ensured `src/config.ts` and `src/infrastructure/config-schema.ts` are in sync with `src/types.ts`.

## Verification

- **Build**: `npm run build` passes successfully.
- **Integration**: The `SmartSearchHandler` is registered in `bootstrap.ts` and ready for use.

## Next Steps

- **Testing**: Add unit and integration tests for `SamplingService` and `SmartSearchHandler`.
- **Phase 4**: Proceed to Phase 4: Performance Optimization.
