Add rag submodule for semantic JRXML chunk retrieval, refactor
retrieve node to use RAGSearcher, and fix missing api_key in
Anthropic SDK client initialization.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The langchain-anthropic wrapper fails auth with MiniMax because
it sends an api_key that conflicts with ANTHROPIC_AUTH_TOKEN at
the SDK level, causing the request to be sent with incorrect
auth headers. Use raw Anthropic SDK directly with a simple
MiniMaxLLM wrapper class instead.
Root cause: MiniMax requires the API key ONLY via ANTHROPIC_AUTH_TOKEN
(system env), not via api_key parameter or OPENAI_API_KEY. Setting
os.environ["NO_PROXY"]="*" is also needed to prevent httpx from
using a proxy that interferes with the auth header.
Note: E2E testing with streamlit run app.py still pending.
- Add LLM_PROVIDER env var (openai/anthropic) to switch cloud backend
- Use ChatAnthropic for anthropic provider with custom base_url
- Add CONTEXT_MAX_TOKENS, CONTEXT_KEEP_RECENT, SESSIONS_DIR,
HISTORY_MAX_SNAPSHOTS to .env and .env.example
- Add langchain-anthropic dependency to requirements.txt
Note: E2E testing blocked — the configured MiniMax API key
(sk-cp-...) returns 401 across all endpoints (Anthropic and OpenAI).
The API key may be expired or lack text-generation model access.
panda