处理冲突

tests/data/config/config2.yaml

@@ -0,0 +1,27 @@
+llm:
+  api_type: "openai"  # or azure / ollama / groq etc.
+  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
+  # 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
+
+models:
+  "YOUR_MODEL_NAME_1": # model: "gpt-4-turbo"  # or gpt-3.5-turbo
+    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
+    # 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
+  "YOUR_MODEL_NAME_2": # model: "gpt-4-turbo"  # or gpt-3.5-turbo
+    api_type: "openai"  # or azure / ollama / groq etc.
+    base_url: "YOUR_MODEL_2_BASE_URL"
+    api_key: "YOUR_MODEL_2_API_KEY"
+    proxy: "YOUR_MODEL_2_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

tests/metagpt/configs/test_models_config.py

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+import pytest
+
+from metagpt.actions.talk_action import TalkAction
+from metagpt.configs.models_config import ModelsConfig
+from metagpt.const import METAGPT_ROOT, TEST_DATA_PATH
+from metagpt.utils.common import aread, awrite
+
+
+@pytest.mark.asyncio
+async def test_models_configs(context):
+    default_model = ModelsConfig.default()
+    assert default_model is not None
+
+    models = ModelsConfig.from_yaml_file(TEST_DATA_PATH / "config/config2.yaml")
+    assert models
+
+    default_models = ModelsConfig.default()
+    backup = ""
+    if not default_models.models:
+        backup = await aread(filename=METAGPT_ROOT / "config/config2.yaml")
+        test_data = await aread(filename=TEST_DATA_PATH / "config/config2.yaml")
+        await awrite(filename=METAGPT_ROOT / "config/config2.yaml", data=test_data)
+
+    try:
+        action = TalkAction(context=context, i_context="who are you?", llm_name_or_type="YOUR_MODEL_NAME_1")
+        assert action.private_llm.config.model == "YOUR_MODEL_NAME_1"
+        assert context.config.llm.model != "YOUR_MODEL_NAME_1"
+    finally:
+        if backup:
+            await awrite(filename=METAGPT_ROOT / "config/config2.yaml", data=backup)
+
+
+if __name__ == "__main__":
+    pytest.main([__file__, "-s"])