fix: resolve Letta agent-not-found error and LLM fallback - #3
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Key fixes:
1. Fix stale agent ID causing 'agent-not-found' 429 error
- Improved error detection with isAgentNotFoundError()
- Better logging when stale agents are detected and cleared
- Proper fallback to direct LLM when agent creation fails
2. Fix LLM fallback - no longer use Letta API as OpenAI-compatible endpoint
- The Letta /v1/chat/completions endpoint requires an agent_id
and is NOT a standard OpenAI-compatible endpoint
- Created /api/llm/generate route (Node.js runtime) that uses
z-ai-web-dev-sdk for direct LLM calls
- This replaces the broken LLM_API_BASE/LLM_API_KEY approach
3. Fix Letta agent creation
- Use openai/gpt-4o-mini (available model) instead of
openai-proxy/gpt-4.1-mini (not registered in Letta)
- Fix agent creation API format (use 'model' field, not deprecated 'llm_config')
- Fix message response parsing for new Letta API format
4. Fix streaming API
- Use stream_steps instead of stream_tokens (which requires streaming=true)
5. Add type declarations for reicon-react
6. Update wrangler.toml and test files
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修复内容
1. 修复 Letta agent-not-found 429 错误
isAgentNotFoundError()）2. 修复 LLM fallback
/v1/chat/completions端点不是标准的 OpenAI 兼容端点，它需要 agent_id/api/llm/generate路由（Node.js runtime），使用 z-ai-web-dev-sdk 进行直接 LLM 调用LLM_API_BASE/LLM_API_KEY方案3. 修复 Letta agent 创建
openai/gpt-4o-mini（可用模型）替代openai-proxy/gpt-4.1-mini（未在 Letta 注册）model字段，而非已废弃的llm_config）4. 修复 streaming API
stream_steps替代stream_tokens（后者需要streaming=true）5. 其他修复
测试结果
✅ 登录成功
✅ Stale agent 检测和清理
✅ 新 agent 创建
✅ 内容生成（LinkedIn 平台）
✅ Agent 聊天
✅ LLM fallback（z-ai-web-dev-sdk）