# Task ID: 30

**Title:** Add Gemini CLI LLM provider

**Status:** done

**Dependencies:** 25 ✓

**Priority:** medium

**Description:** Implement a new LLM provider that uses the Gemini CLI binary for local, free LLM inference as the preferred provider for pre-processing.

**Details:**

1. Create `src/mcplocal/src/providers/gemini-cli.ts`:
   ```typescript
   import { spawn } from 'child_process';
   
   export class GeminiCliProvider implements LlmProvider {
     readonly name = 'gemini-cli';
     private binaryPath: string;
     
     constructor(config: GeminiCliConfig) {
       this.binaryPath = config.binaryPath || 'gemini';
     }
     
     async isAvailable(): Promise<boolean> {
       // Check if gemini binary exists and is executable
       try {
         await this.runCommand(['--version']);
         return true;
       } catch {
         return false;
       }
     }
     
     async complete(options: CompletionOptions): Promise<CompletionResult> {
       const input = this.formatPrompt(options);
       const output = await this.runCommand(['--prompt', input]);
       return { content: output, model: 'gemini-cli' };
     }
     
     private async runCommand(args: string[]): Promise<string> {
       // Spawn gemini CLI process and capture output
     }
   }
   ```
2. Research actual Gemini CLI interface and adjust implementation
3. Add to provider registry with high priority (prefer over API providers)
4. Add configuration: `geminiCliBinaryPath`
5. Handle timeout for slow inference
6. Add fallback to next provider if Gemini CLI fails

**Test Strategy:**

1. Unit test: Provider correctly detects CLI availability
2. Unit test: Prompt formatting is correct
3. Unit test: Output parsing handles various formats
4. Integration test: Full completion with actual Gemini CLI (if available)
5. Test timeout handling for slow responses
6. Test fallback when CLI is not installed