forked from phoenix/litellm-mirror
fix docs for ab_test_llms
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@ -25,20 +25,14 @@ llm_dict = {
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}
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```
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All models defined can be called with the same Input/Output format using litellm `completion`
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### Select LLM + Make Completion call
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Use weighted selection, and call the model using litellm.completion
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```python
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from litellm import completion
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# SET API KEYS in .env - https://docs.litellm.ai/docs/completion/supported
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os.environ["OPENAI_API_KEY"] = ""
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os.environ["TOGETHERAI_API_KEY"] = ""
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os.environ["ANTHROPIC_API_KEY"] = ""
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selected_llm = random.choices(list(llm_dict.keys()), weights=list(llm_dict.values()))[0]
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response = completion(model=selected_model, messages=[{ "content": "Hello, how are you?","role": "user"}])
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# openai call
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response = completion(model="gpt-3.5-turbo", messages=messages)
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# cohere call
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response = completion(model="together_ai/togethercomputer/llama-2-70b-chat", messages=messages)
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# anthropic
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response = completion(model="claude-2", messages=messages)
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```
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## Setup
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