mirror of
https://github.com/agentscope-ai/ReMe.git
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13cff385db
The store retried a connection failure or a timeout on top of the embedding wrapper and the provider SDK, which already retry both, so a persistent timeout on a batch reached the provider 36 times instead of 12: the OpenAI model retries a batch max_retries + 1 times and the SDK retries each of those attempts. Transport failures stay provider-wide -- the request is never split per item -- but the retry is now owned explicitly instead of implicitly: * a whole-batch request leaves it to the layers below, which already retry it; * an isolated single-item attempt keeps the store's backoff, because that attempt is the last chance to keep the one vector the isolation step is recovering. Rate limiting is unchanged. The transport cases now pin both budgets, and three tests drive a real OpenAIAsEmbedding wrapper and a real openai.AsyncClient over an httpx.MockTransport, so the provider attempt count is measured rather than assumed. |
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| .. | ||
| agent_wrapper | ||
| as_classifier | ||
| as_embedding | ||
| as_llm | ||
| client | ||
| embedding_store | ||
| file_catalog | ||
| file_chunker | ||
| file_graph | ||
| file_store | ||
| job | ||
| keyword_index | ||
| outbound_proxy | ||
| service | ||
| tag_index | ||
| tokenizer | ||
| __init__.py | ||
| application_context.py | ||
| base_component.py | ||
| component_registry.py | ||
| prompt_handler.py | ||
| runtime_context.py | ||