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ishaan-jaff 2023-08-24 12:27:20 -07:00
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docs/my-website/docs/debugging/hosted_debugging.md
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@ -46,7 +46,7 @@ See our live dashboard 👉 [admin.litellm.ai](https://admin.litellm.ai/)
## Persisting your dashboard
If you want to use the same dashboard for your project set
`litellm.token` in code or your .env as `LITELLM_TOKEN
`litellm.token` in code or your .env as `LITELLM_TOKEN`
All generated dashboards come with a token
```python
import litellm
@ -60,8 +60,23 @@ Navigate to the 'Add New LLM' Section:
* Select Provider
* Select your LLM
* Add your LLM Key
<Image img={require('../../img/add_model.png')} alt="Dashboard" />
After adding your new LLM, LiteLLM securely stores your API key and model configs.
## Using `completion() with LiteLLM Client
Once you've added your selected models LiteLLM allows you to make `completion` calls
```python
import litellm
from litellm import completion
litellm.token = "80888ede-4881-4876-ab3f-765d47282e66" # set your token
messages = [{ "content": "Hello, how are you?" ,"role": "user"}]
# no need to set key, LiteLLM Client reads your set key
response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
```
## LiteLLM Dashboard - Debug Logs
All your `completion()` and `embedding()` call logs are available on `admin.litellm.ai/<your-token>`