feat(ts-sdk): add LiteLLM LLM provider

Summary

The Python SDK supports LiteLLM as an LLM provider, but the TypeScript OSS SDK (mem0ai/oss) does not. Add it to bring the TS SDK to parity.

Python reference	mem0/llms/litellm.py
Registered in (Python)	mem0/utils/factory.py (LLMFactory)
Target file (TypeScript)	mem0-ts/src/oss/src/llms/litellm.ts
Suggested implementation	Point the openai client at a LiteLLM proxy (OpenAI-compatible endpoint).

Requirements

• Implement LiteLLM in mem0-ts/src/oss/src/llms/litellm.ts, extending LLM (mem0-ts/src/oss/src/llms/base.ts) and mirroring the Python provider's behavior (generateResponse / generateChat).
• Register the "litellm" provider in mem0-ts/src/oss/src/utils/factory.ts (LLMFactory).
• Add config typing in mem0-ts/src/oss/src/types/.
• Add a unit test under mem0-ts/src/oss/src/tests/.
• No new dependency — reuse the existing openai client with a custom baseURL.
• Update docs under docs/ if this provider is user-facing.

Reference pattern

Mirror an existing TS provider: llms/deepseek.ts (OpenAI-compatible) or llms/openai.ts.

Notes

Python uses the litellm library directly; there is no equivalent TS library. The standard TS approach is to run LiteLLM as a proxy server and target its OpenAI-compatible endpoint — functionally equivalent (one endpoint, many providers).

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Part of the TypeScript ↔ Python SDK provider-parity effort. One provider per issue (atomic).