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fixbug: llm client error

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莘权 马 2024-07-17 12:30:13 +08:00
parent bc63e0aa89
commit 9a96d443b6
2 changed files with 6 additions and 3 deletions
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5
metagpt/actions/action.py
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@ -15,6 +15,7 @@ from pydantic import BaseModel, ConfigDict, Field, model_validator
from metagpt.actions.action_node import ActionNode
from metagpt.configs.models_config import ModelsConfig
from metagpt.context_mixin import ContextMixin
from metagpt.provider.llm_provider_registry import create_llm_instance
from metagpt.schema import (
CodePlanAndChangeContext,
CodeSummarizeContext,
@ -45,7 +46,9 @@ class Action(SerializationMixin, ContextMixin, BaseModel):
def _update_private_llm(cls, data: Any) -> Any:
config = ModelsConfig.default().get(data.llm_name_or_type)
if config:
data.llm.config = config
llm = create_llm_instance(config)
llm.cost_manager = data.llm.cost_manager
data.llm = llm
return data
@property

4
tests/data/config/config2.yaml
View file

@ -3,7 +3,7 @@ llm:
base_url: "YOUR_gpt-3.5-turbo_BASE_URL"
api_key: "YOUR_gpt-3.5-turbo_API_KEY"
model: "gpt-3.5-turbo" # or gpt-3.5-turbo
proxy: "YOUR_gpt-3.5-turbo_PROXY" # for LLM API requests
# proxy: "YOUR_gpt-3.5-turbo_PROXY" # for LLM API requests
# timeout: 600 # Optional. If set to 0, default value is 300.
# Details: https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/
pricing_plan: "" # Optional. Use for Azure LLM when its model name is not the same as OpenAI's
@ -13,7 +13,7 @@ models:
api_type: "openai" # or azure / ollama / groq etc.
base_url: "YOUR_MODEL_1_BASE_URL"
api_key: "YOUR_MODEL_1_API_KEY"
proxy: "YOUR_MODEL_1_PROXY" # for LLM API requests
# proxy: "YOUR_MODEL_1_PROXY" # for LLM API requests
# timeout: 600 # Optional. If set to 0, default value is 300.
# Details: https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/
pricing_plan: "" # Optional. Use for Azure LLM when its model name is not the same as OpenAI's