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(docs) proxy server
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@ -185,6 +185,19 @@ $ litellm --model command-nightly
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## Usage
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## Usage
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#### Replace openai base
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```python
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import openai
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openai.api_base = "http://0.0.0.0:8000"
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print(openai.ChatCompletion.create(model="test", messages=[{"role":"user", "content":"Hey!"}]))
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```
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### Using with OpenAI compatible projects
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LiteLLM allows you to set `openai.api_base` to the proxy server and use all LiteLLM supported LLMs in any OpenAI supported project
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<Tabs>
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<Tabs>
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<TabItem value="lm-harness" label="LM-Harness Evals">
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<TabItem value="lm-harness" label="LM-Harness Evals">
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This tutorial assumes you're using the `big-refactor` branch of LM Harness https://github.com/EleutherAI/lm-evaluation-harness/tree/big-refactor
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This tutorial assumes you're using the `big-refactor` branch of LM Harness https://github.com/EleutherAI/lm-evaluation-harness/tree/big-refactor
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</TabItem>
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</TabItem>
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</Tabs>
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</Tabs>
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### [TUTORIAL] LM-Evaluation Harness with TGI
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## Advanced
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## Advanced
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