Add docker pull install instructions and fix package name in CDK docs

- Add ghcr.io/apartsinprojects/modelmesh:latest pull instructions to all
  install sections: README, docs/index, ForAIAgent, ProxyGuide, ClaudeSkill
- Fix CDK DeveloperGuide prerequisite: pip install modelmesh → modelmesh-lite
- All 3 install methods now documented everywhere: pip, npm, docker pull

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: apartsin

ClaudeSkill/install.md

@@ -56,20 +56,33 @@ pnpm add @nistrapa/modelmesh-core
 
 ## Docker Installation
 
+**Pre-built image (fastest):**
+```bash
+docker pull ghcr.io/apartsinprojects/modelmesh:latest
+
+# Run with inline env vars
+docker run -p 8080:8080 \
+  -e OPENAI_API_KEY="sk-..." \
+  ghcr.io/apartsinprojects/modelmesh:latest \
+  --host 0.0.0.0 --port 8080
+
+# Or with env file and config
+docker run -p 8080:8080 \
+  --env-file .env \
+  -v ./modelmesh.yaml:/app/modelmesh.yaml:ro \
+  ghcr.io/apartsinprojects/modelmesh:latest \
+  --config /app/modelmesh.yaml --host 0.0.0.0 --port 8080
+```
+
+**From source (Docker Compose):**
 ```bash
-# Clone and set up
 git clone https://github.com/ApartsinProjects/ModelMesh.git
 cd ModelMesh
-
-# Create env file with API keys
-cp .env.example .env
-# Edit .env and fill in keys
-
-# Build and run
+cp .env.example .env   # add your API keys
 docker compose up --build
 ```
 
-Or build the image directly:
+**From source (Docker directly):**
 ```bash
 docker build -t modelmesh-proxy .
 docker run -p 8080:8080 --env-file .env -v ./modelmesh.yaml:/app/modelmesh.yaml:ro modelmesh-proxy --config /app/modelmesh.yaml

README.md

@@ -35,6 +35,12 @@ npm install @nistrapa/modelmesh-core
 
 **Docker Proxy (any language):**
 ```bash
+# Option A: Pull pre-built image from GitHub Container Registry
+docker pull ghcr.io/apartsinprojects/modelmesh:latest
+
+# Option B: Build from source
+git clone https://github.com/ApartsinProjects/ModelMesh.git
+cd ModelMesh
 cp .env.example .env   # add your API keys
 docker compose up --build
 # Proxy at http://localhost:8080 — speaks the OpenAI REST API
@@ -222,13 +228,18 @@ cd src/typescript && npm install && npm test
 ## Docker
 
 ```bash
-# Quick start with Docker Compose
+# Pull pre-built image from GitHub Container Registry
+docker pull ghcr.io/apartsinprojects/modelmesh:latest
+
+# Run with your API keys
+docker run -p 8080:8080 \
+  -e OPENAI_API_KEY="sk-..." \
+  ghcr.io/apartsinprojects/modelmesh:latest
+
+# Or build from source with Docker Compose
 cp .env.example .env    # then add your API keys
 docker compose up --build
 
-# Or use the automation script
-./scripts/proxy-up.sh
-
 # Test the running proxy
 curl http://localhost:8080/v1/models
 curl -X POST http://localhost:8080/v1/chat/completions \

docs/ForAIAgent.md

@@ -263,18 +263,35 @@ The Docker proxy exposes the full OpenAI REST API. Any language/framework that c
 - Docker and Docker Compose installed
 - At least one API key
 
-### Setup
+### Install
+
+**Option A — Pre-built image (fastest):**
+```bash
+docker pull ghcr.io/apartsinprojects/modelmesh:latest
+```
 
+**Option B — Build from source:**
 ```bash
 git clone https://github.com/ApartsinProjects/ModelMesh.git
 cd ModelMesh
+```
+
+### Setup
 
+```bash
 # Create .env with your API keys
 cp .env.example .env
 # Edit .env and add your keys: OPENAI_API_KEY=sk-..., etc.
 
-# Start the proxy
+# Start the proxy (from source)
 docker compose up --build
+
+# Or run the pre-built image directly
+docker run -p 8080:8080 \
+  -e OPENAI_API_KEY="sk-..." \
+  -e ANTHROPIC_API_KEY="sk-ant-..." \
+  ghcr.io/apartsinprojects/modelmesh:latest \
+  --host 0.0.0.0 --port 8080
 ```
 
 The proxy runs on `http://localhost:8080`.

docs/cdk/DeveloperGuide.md

@@ -7,7 +7,7 @@ title: "CDK Developer Guide"
 
 A tutorial-driven guide for using ModelMesh Lite, from the convenience layer (`modelmesh.create()`) through custom connectors built with the Connector Development Kit (CDK). Tutorials 0-1 cover the OpenAI-compatible convenience API, Tutorials 2-7 progress from zero-code configuration through full connector suites and automated testing, and Tutorial 8 provides a beginner-friendly walkthrough for new programmers.
 
-> **Prerequisites:** Tutorials 0-1 require only `pip install modelmesh` and an API key. Tutorials 2-7 assume familiarity with the [CDK Overview](Overview.html) and the [class hierarchy](Overview.html#class-hierarchy). Tutorial 8 is self-contained. Each tutorial references the relevant CDK reference documents inline.
+> **Prerequisites:** Tutorials 0-1 require only `pip install modelmesh-lite` and an API key. Tutorials 2-7 assume familiarity with the [CDK Overview](Overview.html) and the [class hierarchy](Overview.html#class-hierarchy). Tutorial 8 is self-contained. Each tutorial references the relevant CDK reference documents inline.
 
 ---
 

docs/guides/ProxyGuide.md

@@ -395,7 +395,27 @@ The proxy includes full CORS support (`Access-Control-Allow-Origin: *`) for brow
 
 ### Build and Run
 
-**Using Docker Compose (recommended):**
+**Option A: Pull pre-built image from GHCR (fastest):**
+
+```bash
+docker pull ghcr.io/apartsinprojects/modelmesh:latest
+
+# Run with environment variables
+docker run -p 8080:8080 \
+  -e OPENAI_API_KEY="sk-..." \
+  -e ANTHROPIC_API_KEY="sk-ant-..." \
+  ghcr.io/apartsinprojects/modelmesh:latest \
+  --host 0.0.0.0 --port 8080
+
+# Or run with config file and env file
+docker run -p 8080:8080 \
+  --env-file .env \
+  -v ./modelmesh.yaml:/app/modelmesh.yaml:ro \
+  ghcr.io/apartsinprojects/modelmesh:latest \
+  --config /app/modelmesh.yaml --host 0.0.0.0 --port 8080
+```
+
+**Option B: Docker Compose (recommended for development):**
 
 ```bash
 # 1. Create .env with your API keys
@@ -418,7 +438,7 @@ docker compose logs -f
 docker compose down
 ```
 
-**Using Docker directly:**
+**Option C: Build Docker image locally:**
 
 ```bash
 # Build

docs/index.md

@@ -40,6 +40,12 @@ npm install @nistrapa/modelmesh-core
 
 **Docker Proxy (any language):**
 ```bash
+# Option A: Pull pre-built image from GitHub Container Registry
+docker pull ghcr.io/apartsinprojects/modelmesh:latest
+
+# Option B: Build from source
+git clone https://github.com/ApartsinProjects/ModelMesh.git
+cd ModelMesh
 cp .env.example .env   # add your API keys
 docker compose up --build
 # Proxy at http://localhost:8080 — speaks the OpenAI REST API