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Use GPT-4 in Agent loop by default (#4899)
* Use GPT-4 as default smart LLM in Agent * Rename (smart|fast)_llm_model to (smart|fast)_llm everywhere * Fix test_config.py::test_initial_values * Fix test_config.py::test_azure_config * Fix Azure config backwards compatibility
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@@ -133,8 +133,8 @@ Get your OpenAI API key from: [https://platform.openai.com/account/api-keys](htt
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make an Azure configuration file:
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- Rename `azure.yaml.template` to `azure.yaml` and provide the relevant `azure_api_base`, `azure_api_version` and all the deployment IDs for the relevant models in the `azure_model_map` section:
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- `fast_llm_model_deployment_id`: your gpt-3.5-turbo or gpt-4 deployment ID
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- `smart_llm_model_deployment_id`: your gpt-4 deployment ID
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- `fast_llm_deployment_id`: your gpt-3.5-turbo or gpt-4 deployment ID
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- `smart_llm_deployment_id`: your gpt-4 deployment ID
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- `embedding_model_deployment_id`: your text-embedding-ada-002 v2 deployment ID
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Example:
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@@ -143,7 +143,7 @@ Get your OpenAI API key from: [https://platform.openai.com/account/api-keys](htt
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# Please specify all of these values as double-quoted strings
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# Replace string in angled brackets (<>) to your own deployment Name
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azure_model_map:
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fast_llm_model_deployment_id: "<auto-gpt-deployment>"
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fast_llm_deployment_id: "<auto-gpt-deployment>"
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...
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Details can be found in the [openai-python docs], and in the [Azure OpenAI docs] for the embedding model.
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