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re-woreded the ui config section

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Knox Lively
2024-05-07 00:33:01 -06:00
parent b70b6b3736
commit 5793b649c6
4 changed files with 4 additions and 4 deletions
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features/supportedLLMs/BYOLLM.mdx
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@@ -23,7 +23,7 @@ After installing and configuring your own LLM provider, you should be able to st
**Note:** If the provided URL (e.g., `http://localhost:8080/v1/chat/completions`) doesn't work, try removing the `/chat/completions` directories from the end of the URL or using just the hostname and port (e.g., `http://localhost:8080`). This often resolves compatibility issues and allows Wave AI to communicate with your LLM provider successfully.
### Configuring via the UI
To configure your own LLM provider from the Wave AI user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
To configure your own LLM provider from Wave's user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
### Configuring via the CLI
To configure your own LLM provider using the command line, set the `aibaseurl` and `aimodel` parameters using the [/client:set](/reference/slashcommands#client-set) command, as shown in the example below.
features/supportedLLMs/llamacpp.mdx
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@@ -26,7 +26,7 @@ After installing and configuring the llama.cpp server, you can start using it in
- **AI Base URL:** Set this parameter to the base URL or endpoint that Wave AI should query. For llama.cpp servers running locally, use http://localhost:8080. Please note that the port number `8080` may be different depending on your specific installation. For remote llama.cpp server instances, replace `localhost` with the appropriate hostname or IP address of the server where llama.cpp is running. If the port number is different from the default `8080`, update it accordingly in the URL.
### Configuring via the UI
To configure llama.cpp from the Wave AI user interface, navigate to the "Settings" menu and set the `AI Base URL` parameter as described in the previous section.
To configure llama.cpp from Wave's user interface, navigate to the "Settings" menu and set the `AI Base URL` parameter as described in the previous section.
### Configuring via the CLI
To configure llama.cpp using the command line, set the `aibaseurl` parameter using the [/client:set](/reference/slashcommands#client-set) command, as shown in the example below.
features/supportedLLMs/localai.mdx
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@@ -25,7 +25,7 @@ After installing and configuring LocalAI, you can start using it in Wave by sett
Example: http://localhost:8080/v1/models.
### Configuring via the UI
To configure LocalAI from the Wave AI user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
To configure LocalAI from Wave's user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
### Configuring via the CLI
To configure LocalAI using the command line, set the `aibaseurl` and `aimodel` parameters using the [/client:set](/reference/slashcommands#client-set) command, as shown in the example below.
features/supportedLLMs/ollama.mdx
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@@ -21,7 +21,7 @@ After installing and configuring Ollama, you can start using it in Wave by setti
- **AI Model**: Specify the Ollama model you want to use. This can be any "pulled" model in Ollama and doesn't need to be actively running. To discover available models, use the `ollama list` command in your terminal.
### Configuring via the UI
To configure Ollama from the Wave AI user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
To configure Ollama from Wave's user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
### Configuring via the CLI
To configure Ollama using the command line, set the `aibaseurl` and `aimodel` parameters using the [/client:set](/reference/slashcommands#client-set) command, as shown in the example below.