chore: link to env docs

This commit is contained in:
Carl Sutton
2024-04-09 10:09:37 +02:00
parent f317a3e38f
commit ec11b61f67
5 changed files with 15 additions and 0 deletions
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The deployed models are now available in the application. If you don't have a configured
Azure OpenAI service instance, continue with the next section.
In addition to using the UI, configuration can also be done using
[environment variables](environment-variables.md).
## Setting Up Azure
### Step 1: Azure Account & Subscription
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2. Enter the API URL: `http://localhost:1234` (modify if different)
3. Refresh by clicking on the `Models` button to load models from LM Studio
In addition to using the UI, configuration can also be done using
[environment variables](environment-variables.md).
## Troubleshooting
- **Missing @mui/material**: Execute `npm install @mui/material` or `yarn add @mui/material`
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- Load the models (click on `Models 🔄`)
- Select the model and chat
In addition to using the UI, configuration can also be done using
[environment variables](environment-variables.md).
### Integration: Models Gallery
If the running LocalAI instance is configured with a [Model Gallery](https://localai.io/models/):
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you'll have to press the 'Pull' button again, until a green message appears.
5. **Chat with Ollama models**: select an Ollama model and begin chatting with AI personas
In addition to using the UI, configuration can also be done using
[environment variables](environment-variables.md).
**Visual Configuration Guide**:
* After adding the `Ollama` model vendor, entering the IP address of an Ollama server, and refreshing models:<br/>
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![feature-openrouter-configure.png](pixels/feature-openrouter-configure.png)
4. OpenAI GPT4-32k and other models will now be accessible and selectable in the application.
In addition to using the UI, configuration can also be done using
[environment variables](environment-variables.md).
### Pricing
OpenRouter independently manages its service and pricing and is not affiliated with big-AGI.