feat: M7 proper LLM integration with dual providers, caching, and parallel batching
- Add LLM client abstraction (src/llm-client.ts) with factory pattern - Add OpenAI-compatible external client (src/external-llm-client.ts) - Add Kimi.com client using Anthropic-based API (src/kimi-llm-client.ts) - Add Pi native LLM stub (src/pi-llm-client.ts) for future ExtensionAPI wiring - Add SHA-256 disk cache at ~/.cache/pi-project-map/ (src/llm-cache.ts) - Add parallel batching with p-limit, retry + exponential backoff (src/llm-batch.ts) - Rewrite llm-extract.ts to use real LLM calls with structured prompts - File-level: PURPOSE, DEPS, CONCEPTS - Package-level: ROLE, ARCH - Context truncation, 50KB skip, cache before LLM call - Wire CLI with --llm-provider, --llm-model, --llm-base-url flags - Update config.ts with llmProvider, llmBaseUrl fields - Update init.ts and patch.ts to accept optional LLMClient - Add sample project fixture for manual testing - Add tests: llm-cache (3), llm-batch (5), llm-integration (8 with real Kimi API), pi-extension (14 mocked) - All 56 tests pass
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# API Documentation
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## User Model
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### `createUser(data)`
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Creates a new user with auto-generated ID and timestamp.
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**Parameters:**
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- `data` — Object with `email` and `name` fields
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**Returns:** `User` object
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**Throws:** `Error` if email is invalid
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### `serializeUser(user)`
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Serializes a user to JSON string.
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## Validation Utilities
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- `validateEmail(email)` — Validates email format
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- `validateNotEmpty(value)` — Checks string is not empty
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- `validateMinLength(value, min)` — Checks minimum string length
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