docs: add Scarf usage-analytics pixel to docs + README

Co-Authored-By: Alex Schapiro <bearsyankees@gmail.com>

docs/llm-providers/anthropic.mdx

@@ -3,6 +3,10 @@ title: "Anthropic"
 description: "Configure Strix with Claude models"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Setup
 
 ```bash

docs/llm-providers/azure.mdx

@@ -3,6 +3,10 @@ title: "Azure OpenAI"
 description: "Configure Strix with OpenAI models via Azure"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Setup
 
 ```bash

docs/llm-providers/bedrock.mdx

@@ -3,6 +3,10 @@ title: "AWS Bedrock"
 description: "Configure Strix with models via AWS Bedrock"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Setup
 
 ```bash

docs/llm-providers/local.mdx

@@ -3,6 +3,10 @@ title: "Local Models"
 description: "Run Strix with self-hosted LLMs for privacy and air-gapped testing"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Running Strix with local models allows for completely offline, privacy-first security assessments. Data never leaves your machine, making this ideal for sensitive internal networks or air-gapped environments.
 
 ## Privacy vs Performance

docs/llm-providers/novita.mdx

@@ -3,6 +3,10 @@ title: "Novita AI"
 description: "Configure Strix with Novita AI models"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 [Novita AI](https://novita.ai) provides fast, cost-efficient inference for open-source models via an OpenAI-compatible API.
 
 ## Setup

docs/llm-providers/openai.mdx

@@ -3,6 +3,10 @@ title: "OpenAI"
 description: "Configure Strix with OpenAI models"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Setup
 
 ```bash

docs/llm-providers/openrouter.mdx

@@ -3,6 +3,10 @@ title: "OpenRouter"
 description: "Configure Strix with models via OpenRouter"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 [OpenRouter](https://openrouter.ai) provides access to 100+ models from multiple providers through a single API.
 
 ## Setup

docs/llm-providers/overview.mdx

@@ -3,6 +3,10 @@ title: "Overview"
 description: "Configure your AI model for Strix"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Strix uses [LiteLLM](https://docs.litellm.ai/docs/providers) for model compatibility, supporting 100+ LLM providers.
 
 ## Configuration

docs/llm-providers/vertex.mdx

@@ -3,6 +3,10 @@ title: "Google Vertex AI"
 description: "Configure Strix with Gemini models via Google Cloud"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Installation
 
 Vertex AI requires the Google Cloud dependency. Install Strix with the vertex extra: