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refactor: add black formatting
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b87d630b0a
commit
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156 changed files with 19723 additions and 10869 deletions
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@ -8,7 +8,7 @@
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# 0, os.path.abspath("../..")
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# ) # Adds the parent directory to the system path
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# import litellm
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# import asyncio
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# import asyncio
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# litellm.set_verbose = True
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# from litellm import Router
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@ -18,9 +18,9 @@
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# # This enables response_model keyword
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# # # from client.chat.completions.create
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# # client = instructor.patch(Router(model_list=[{
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# # "model_name": "gpt-3.5-turbo", # openai model name
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# # "litellm_params": { # params for litellm completion/embedding call
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# # "model": "azure/chatgpt-v-2",
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# # "model_name": "gpt-3.5-turbo", # openai model name
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# # "litellm_params": { # params for litellm completion/embedding call
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# # "model": "azure/chatgpt-v-2",
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# # "api_key": os.getenv("AZURE_API_KEY"),
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# # "api_version": os.getenv("AZURE_API_VERSION"),
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# # "api_base": os.getenv("AZURE_API_BASE")
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@ -49,9 +49,9 @@
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# from openai import AsyncOpenAI
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# aclient = instructor.apatch(Router(model_list=[{
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# "model_name": "gpt-3.5-turbo", # openai model name
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# "litellm_params": { # params for litellm completion/embedding call
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# "model": "azure/chatgpt-v-2",
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# "model_name": "gpt-3.5-turbo", # openai model name
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# "litellm_params": { # params for litellm completion/embedding call
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# "model": "azure/chatgpt-v-2",
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# "api_key": os.getenv("AZURE_API_KEY"),
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# "api_version": os.getenv("AZURE_API_VERSION"),
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# "api_base": os.getenv("AZURE_API_BASE")
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@ -71,4 +71,4 @@
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# )
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# print(f"model: {model}")
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# asyncio.run(main())
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# asyncio.run(main())
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