[fix] stream field in llmconfig not work

metagpt/provider/base_llm.py

@@ -22,6 +22,7 @@
     wait_random_exponential,
 )
 
+from metagpt.config2 import config
 from metagpt.configs.llm_config import LLMConfig
 from metagpt.const import LLM_API_TIMEOUT, USE_CONFIG_TIMEOUT
 from metagpt.logs import logger
@@ -132,7 +133,7 @@ async def aask(
         format_msgs: Optional[list[dict[str, str]]] = None,
         images: Optional[Union[str, list[str]]] = None,
         timeout=USE_CONFIG_TIMEOUT,
-        stream=True,
+        stream=None,
     ) -> str:
         if system_msgs:
             message = self._system_msgs(system_msgs)
@@ -146,6 +147,8 @@ async def aask(
             message.append(self._user_msg(msg, images=images))
         else:
             message.extend(msg)
+        if stream is None:
+            stream = config.llm.stream
         logger.debug(message)
         rsp = await self.acompletion_text(message, stream=stream, timeout=self.get_timeout(timeout))
         return rsp

metagpt/rag/benchmark/base.py

@@ -121,7 +121,7 @@ def mean_reciprocal_rank(self, nodes: list[NodeWithScore], reference_docs: list[
                     return mrr_sum
 
         return mrr_sum
-        
+
     async def semantic_similarity(self, response: str, reference: str) -> float:
         result = await self.evaluator.aevaluate(
             response=response,

metagpt/rag/factories/ranker.py

@@ -8,11 +8,11 @@
 from metagpt.rag.rankers.object_ranker import ObjectSortPostprocessor
 from metagpt.rag.schema import (
     BaseRankerConfig,
+    BGERerankConfig,
+    CohereRerankConfig,
     ColbertRerankConfig,
     LLMRankerConfig,
     ObjectRankerConfig,
-    CohereRerankConfig,
-    BGERerankConfig
 )
 
 
@@ -60,13 +60,15 @@ def _create_cohere_rerank(self, config: CohereRerankConfig, **kwargs) -> LLMRera
 
     def _create_bge_rerank(self, config: BGERerankConfig, **kwargs) -> LLMRerank:
         try:
-            from llama_index.postprocessor.flag_embedding_reranker import FlagEmbeddingReranker
+            from llama_index.postprocessor.flag_embedding_reranker import (
+                FlagEmbeddingReranker,
+            )
         except ImportError:
             raise ImportError(
                 "`llama-index-postprocessor-flag-embedding-reranker` package not found, please run `pip install llama-index-postprocessor-flag-embedding-reranker`"
             )
         return FlagEmbeddingReranker(**config.model_dump())
-        
+
     def _create_object_ranker(self, config: ObjectRankerConfig, **kwargs) -> LLMRerank:
         return ObjectSortPostprocessor(**config.model_dump())