(docs) using litellm router

This commit is contained in:
ishaan-jaff 2024-03-11 21:18:10 -07:00
parent 824b8b1b62
commit e46980c56c

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@ -50,14 +50,38 @@ model_list = [{ # list of model deployments
"model": "gpt-3.5-turbo",
"api_key": os.getenv("OPENAI_API_KEY"),
}
}]
}, {
"model_name": "gpt-4",
"litellm_params": { # params for litellm completion/embedding call
"model": "azure/gpt-4",
"api_key": os.getenv("AZURE_API_KEY"),
"api_base": os.getenv("AZURE_API_BASE"),
"api_version": os.getenv("AZURE_API_VERSION"),
}
}, {
"model_name": "gpt-4",
"litellm_params": { # params for litellm completion/embedding call
"model": "gpt-4",
"api_key": os.getenv("OPENAI_API_KEY"),
}
},
]
router = Router(model_list=model_list)
# openai.ChatCompletion.create replacement
# requests with model="gpt-3.5-turbo" will pick a deployment where model_name="gpt-3.5-turbo"
response = await router.acompletion(model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "Hey, how's it going?"}])
print(response)
# openai.ChatCompletion.create replacement
# requests with model="gpt-4" will pick a deployment where model_name="gpt-4"
response = await router.acompletion(model="gpt-4",
messages=[{"role": "user", "content": "Hey, how's it going?"}])
print(response)
```