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README.md
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README.md
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@ -38,8 +38,8 @@ LiteLLM manages
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- Translating inputs to the provider's completion and embedding endpoints
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- Guarantees [consistent output](https://litellm.readthedocs.io/en/latest/output/), text responses will always be available at `['choices'][0]['message']['content']`
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- Exception mapping - common exceptions across providers are mapped to the [OpenAI exception types](https://help.openai.com/en/articles/6897213-openai-library-error-types-guidance)
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# Usage
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## Quick Start
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# usage
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<a target="_blank" href="https://colab.research.google.com/github/https://colab.research.google.com/drive/1y2ChqxJOwEByThibxYMEpY5P6_RTNjj4?usp=sharing">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a>
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@ -64,18 +64,20 @@ response = completion(model="gpt-3.5-turbo", messages=messages)
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# cohere call
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response = completion(model="command-nightly", messages)
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```
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All LiteLLM users get a LiteLLM Dashboard - View logs + Add new LLMs on the dashboard
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<a href="https://docs.litellm.ai/docs/debugging/hosted_debugging" target="_blank">Tutorial</a>
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Stable version
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```
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pip install litellm==0.1.424
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```
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## Streaming Queries
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# debugging
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Debugging Dashboard 👉 https://docs.litellm.ai/docs/debugging/hosted_debugging
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## streaming
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liteLLM supports streaming the model response back, pass `stream=True` to get a streaming iterator in response.
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Streaming is supported for OpenAI, Azure, Anthropic, Huggingface models
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```python
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@ -89,8 +91,8 @@ for chunk in result:
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print(chunk['choices'][0]['delta'])
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```
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# Support / talk with founders
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- [Our calendar 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)
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# support / talk with founders
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- [Schedule Demo 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)
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- [Community Discord 💭](https://discord.gg/wuPM9dRgDw)
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- Our numbers 📞 +1 (770) 8783-106 / +1 (412) 618-6238
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- Our emails ✉️ ishaan@berri.ai / krrish@berri.ai
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