forked from phoenix/litellm-mirror
62 lines
No EOL
2.1 KiB
Markdown
62 lines
No EOL
2.1 KiB
Markdown
import Image from '@theme/IdealImage';
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# LiteLLM Client: Debug Logs + Instant LLM Deploys
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LiteLLM offers a UI to:
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* 1-Click Deploy LLMs - the client stores your api keys + model configurations
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* Debug your Call Logs
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<Image img={require('../../img/dashboard.png')} alt="Dashboard" />
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Once created, your dashboard is viewable at - `admin.litellm.ai/<your_email>` [👋 Tell us if you need better privacy controls](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version?month=2023-08)
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See our live dashboard 👉 [admin.litellm.ai](https://admin.litellm.ai/)
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<Image img={require('../../img/dashboard.png')} alt="Dashboard" />
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## Usage
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### Requirements
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1. **Needs litellm>=0.1.438***
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2. Set `litellm.email` account. You can set your user email in 2 ways.
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- By setting it on the module - `litellm.email=<your_email>`.
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- By setting it as an environment variable - `os.environ["LITELLM_EMAIL"] = "your_email"`.
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## Code Setup
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```python
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import litellm
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## Setup for activating / using the litellm dashboard
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litellm.email = "test_email@test.com"
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```
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## Using LiteLLM Dashboard - Add New LLMs
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LiteLLM allows you to add a new model using the liteLLM Dashboard
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Go to `admin.litellm.ai/<your_email>`
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Navigate to the 'Add New LLM' Section
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<Image img={require('../../img/add_model.png')} alt="Dashboard" />
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- Select Provider
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- Select your LLM
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- Add your LLM Key
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### Using your new LLM - Completion() with the LiteLLM Dashboard
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```python
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from litellm import embedding, completion
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# keys set in admin.litellm.ai/<your_email> or .env OPENAI_API_KEY
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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=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
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```
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## Using LiteLLM Dashboard - Debug your Call Logs
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```python
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from litellm import embedding, completion
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# keys set in admin.litellm.ai/<your_email> or .env OPENAI_API_KEY
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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=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
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```
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See your Logs below |