feat(ts-sdk): add AWS Bedrock LLM provider

Summary

The Python SDK supports AWS Bedrock 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/aws_bedrock.py
Registered in (Python)	mem0/utils/factory.py (LLMFactory)
Target file (TypeScript)	mem0-ts/src/oss/src/llms/aws_bedrock.ts
Suggested implementation	Use @aws-sdk/client-bedrock-runtime (BedrockRuntimeClient + InvokeModelCommand / ConverseCommand).

Requirements

• Implement AWSBedrockLLM in mem0-ts/src/oss/src/llms/aws_bedrock.ts, extending LLM (mem0-ts/src/oss/src/llms/base.ts) and mirroring the Python provider's behavior (generateResponse / generateChat).
• Register the "aws_bedrock" 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/.
• Add @aws-sdk/client-bedrock-runtime to mem0-ts/package.json (optional/peer dependency, lazy-imported like other providers).
• 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

Message formatting differs per model family (Anthropic, Titan, Llama, etc.) — mirror the per-model handling in mem0/llms/aws_bedrock.py. Auth via the standard AWS credential chain.

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