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https://github.com/crewAIInc/crewAI.git
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fixing type error
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@@ -68,10 +68,7 @@ def create_llm(
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api_key=api_key,
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api_key=api_key,
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base_url=base_url,
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base_url=base_url,
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)
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)
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print(
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print("LLM created with extracted parameters; " f"model='{model}'")
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"LLM created with extracted parameters; "
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f"model='{model}'"
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)
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return created_llm
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return created_llm
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except Exception as e:
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except Exception as e:
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print(f"Error instantiating LLM from unknown object type: {e}")
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print(f"Error instantiating LLM from unknown object type: {e}")
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@@ -186,8 +183,7 @@ def _llm_via_environment_or_fallback() -> Optional[LLM]:
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if env_var.get("default", False):
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if env_var.get("default", False):
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for key, value in env_var.items():
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for key, value in env_var.items():
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if key not in ["prompt", "key_name", "default"]:
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if key not in ["prompt", "key_name", "default"]:
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if key in os.environ:
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llm_params[key.lower()] = value
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llm_params[key] = os.environ[key]
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else:
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else:
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print(f"Expected env_var to be a dictionary, but got {type(env_var)}")
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print(f"Expected env_var to be a dictionary, but got {type(env_var)}")
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@@ -200,7 +196,9 @@ def _llm_via_environment_or_fallback() -> Optional[LLM]:
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print(f"LLM created with model='{model_name}'")
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print(f"LLM created with model='{model_name}'")
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return new_llm
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return new_llm
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except Exception as e:
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except Exception as e:
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print(f"Error instantiating LLM from environment/fallback: {type(e).__name__}: {e}")
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print(
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f"Error instantiating LLM from environment/fallback: {type(e).__name__}: {e}"
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)
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return None
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return None
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