Docs: rename and redirect system assist component to g-assist component (#8317)
* add-redirect * sidebars-and-filename * Apply suggestions from code review Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com> --------- Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com>
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Mendon Kissling
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4 changed files with 61 additions and 41 deletions
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@ -0,0 +1,37 @@
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---
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title: Integrate NVIDIA G-Assist with Langflow
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slug: /integrations-nvidia-g-assist
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---
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:::important
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This component is available only for Langflow users with NVIDIA GPUs on Windows systems.
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:::
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The **NVIDIA G-Assist** component enables interaction with NVIDIA GPU drivers through natural language prompts.
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For example, prompt G-Assist with `"What is my current GPU temperature?"` or `"Show me the available GPU memory"` to get information, and then tell G-Assist to modify your GPU settings.
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For more information, see the [NVIDIA G-assist project repository](https://github.com/NVIDIA/g-assist).
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## Prerequisites
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* Windows operating system
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* NVIDIA GPU
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* `gassist.rise` package installed. This package is already installed with Langflow.
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## Use the G-Assist component in a flow
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1. Create a flow with a **Chat input** component, a **G-Assist** component, and a **Chat output** component.
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2. Connect the **Chat input** component to the **G-Assist** component's **Prompt** input, and then connect the **G-Assist** component's output to the **Chat output** component.
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3. Open the **Playground**, and then ask a question about your GPU. For example, "What is my current GPU temperature?".
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The **G-Assist** component queries your GPU, and the response appears in the **Playground**.
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### Inputs
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The **NVIDIA G-Assist** component accepts a single input:
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- `prompt`: A human-readable prompt processed by NVIDIA G-Assist.
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### Outputs
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The **NVIDIA G-Assist** component outputs a [Message](/concepts-objects#message-object) object that contains:
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- `text`: The response from NVIDIA G-Assist containing the completed operation result.
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- The NVIDIA G-Assist message response is wrapped in a Langflow [Message](/concepts-objects#message-object) object.
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@ -1,37 +0,0 @@
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---
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title: Integrate NVIDIA System-Assist with Langflow
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slug: /integrations-nvidia-system-assist
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---
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:::important
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This component is only available for Langflow users with NVIDIA GPUs on Windows systems.
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:::
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The **NVIDIA System-Assist** component enables interaction with NVIDIA GPU drivers through natural language prompts.
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For example, prompt System-Assist with `"What is my current GPU temperature?"` or `"Show me the available GPU memory"` to get information, and then tell System-Assist to modify your GPU settings.
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For more information, see the [NVIDIA G-assist project repository](https://github.com/NVIDIA/g-assist).
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## Prerequisites
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* Windows operating system
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* NVIDIA GPU
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* `gassist.rise` package installed. This package is already installed with Langflow.
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## Use the System-Assist component in a flow
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1. Create a flow with a **Chat input** component, a **System-Assist** component, and a **Chat output** component.
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2. Connect the **Chat input** component to the **System-Assist** component's **Prompt** input, and then connect the **System-Assist** component's output to the **Chat output** component.
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3. Open the **Playground**, and then ask "What is my current GPU temperature?".
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The **System-Assist** component queries your GPU, and the response appears in the **Playground**.
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### Inputs
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The **NVIDIA System-Assist** component accepts a single input:
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- `prompt`: A human-readable prompt processed by NVIDIA System-Assist.
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### Outputs
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The **NVIDIA System-Assist** component outputs a [Message](/concepts-objects#message-object) object that contains:
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- `text`: The response from NVIDIA System-Assist containing the completed operation result.
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- The NVIDIA System-Assist message response is wrapped in a Langflow [Message](/concepts-objects#message-object) object.
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@ -258,6 +258,10 @@ const config = {
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to: "/mcp-server",
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from: "/integrations-mcp",
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},
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{
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to: "/integrations-nvidia-g-assist",
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from: "/integrations-nvidia-system-assist",
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},
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{
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to: "/deployment-kubernetes-dev",
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from: [
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@ -226,12 +226,16 @@ module.exports = {
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id: "Integrations/Arize/integrations-arize",
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label: "Arize",
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},
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{
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type: "doc",
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id: "Integrations/integrations-assemblyai",
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label: "AssemblyAI",
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},
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{
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type: "doc",
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id: "Integrations/mcp-component-astra",
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label: "Astra DB MCP server",
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},
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"Integrations/integrations-assemblyai",
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{
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type: "doc",
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id: "Integrations/Composio/integrations-composio",
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@ -268,9 +272,21 @@ module.exports = {
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type: "category",
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label: "NVIDIA",
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items: [
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"Integrations/Nvidia/integrations-nvidia-ingest",
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"Integrations/Nvidia/integrations-nvidia-nim-wsl2",
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"Integrations/Nvidia/integrations-nvidia-system-assist",
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{
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type: "doc",
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id: "Integrations/Nvidia/integrations-nvidia-ingest",
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label: "NVIDIA Ingest"
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},
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{
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type: "doc",
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id: "Integrations/Nvidia/integrations-nvidia-nim-wsl2",
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label: "NVIDIA NIM on WSL2"
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},
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{
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type: "doc",
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id: "Integrations/Nvidia/integrations-nvidia-g-assist",
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label: "NVIDIA G-Assist"
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},
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],
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},
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],
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