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docs/my-website/docs/debugging/hosted_debugging.md
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@ -8,8 +8,9 @@ LiteLLM offers a UI to:
<Image img={require('../../img/dashboard.png')} alt="Dashboard" /> <Image img={require('../../img/dashboard.png')} alt="Dashboard" />
## Getting Started ## Getting Started
All LiteLLM completion() calls auto-create a LiteLLM Client Dashboard Make a `litellm.completion()` call 👉 get your debugging dashboard
Example code snippet to create your dashboard:
Example Code - Normal `litellm.completion()` call:
```python ```python
from litellm import completion from litellm import completion
messages = [{ "content": "Hello, how are you?" ,"role": "user"}] messages = [{ "content": "Hello, how are you?" ,"role": "user"}]
@ -17,8 +18,11 @@ response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content
``` ```
### Output with dashboard ### Output with dashboard
All completion calls link to your session dashboard All `completion()` calls print with a link to your session dashboard
```
<Image img={require('../../img/dash_output.png')} alt="Dashboard" />
```bash
Here's your LiteLLM Dashboard 👉 https://admin.litellm.ai/88911906-d786-44f2-87c7-9720e6031b45 Here's your LiteLLM Dashboard 👉 https://admin.litellm.ai/88911906-d786-44f2-87c7-9720e6031b45
<OpenAIObject chat.completion id=chatcmpl-7r6LtlUXYYu0QayfhS3S0OzroiCel at 0x7fb307375030> JSON: { <OpenAIObject chat.completion id=chatcmpl-7r6LtlUXYYu0QayfhS3S0OzroiCel at 0x7fb307375030> JSON: {
"id": "chatcmpl-7r6LtlUXYYu0QayfhS3S0OzroiCel", "id": "chatcmpl-7r6LtlUXYYu0QayfhS3S0OzroiCel",

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