fix: lint adk-cerebras README

Author: fiam

adk-cerebras/README.md

@@ -1,31 +1,39 @@
 # DevDuck agents
 
-A multi-agent system for Go programming assistance built with Google Agent Development Kit (ADK). This project features a coordinating agent (DevDuck) that manages two specialized sub-agents (Bob and Cerebras) for different programming tasks.
+A multi-agent system for Go programming assistance built with Google Agent Development Kit (ADK). This
+project features a coordinating agent (DevDuck) that manages two specialized sub-agents (Bob and
+Cerebras) for different programming tasks.
 
 ## Architecture
 
-The system consists of three main agents orchestrated by Docker Compose, which plays a **primordial role** in launching and coordinating all agent services:
+The system consists of three main agents orchestrated by Docker Compose, which plays a
+**primordial role** in launching and coordinating all agent services:
 
 ### 🐙 Docker Compose Orchestration
+
 - **Central Role**: Docker Compose serves as the foundation for the entire multi-agent system
 - **Service Orchestration**: Manages the lifecycle of all three agents (DevDuck, Bob, and Cerebras)
-- **Configuration Management**: Defines agent prompts, model configurations, and service dependencies directly in the compose file
+- **Configuration Management**: Defines agent prompts, model configurations, and service dependencies
+  directly in the compose file
 - **Network Coordination**: Establishes secure inter-agent communication channels
 - **Environment Management**: Handles API keys, model parameters, and runtime configurations
 
-### Agent Components:
+### Agent Components
 
 ### 🦆 DevDuck (Main Agent)
+
 - **Role**: Main development assistant and project coordinator
 - **Model**: Qwen3 (unsloth/qwen3-gguf:4B-UD-Q4_K_XL)
 - **Capabilities**: Routes requests to appropriate sub-agents based on user needs
 
 ### 👨‍💻 Bob Agent
+
 - **Role**: General development tasks and project coordination
 - **Model**: Qwen2.5 (ai/qwen2.5:latest)
 - **Specialization**: Go programming expert for understanding code, explaining concepts, and generating code snippets
 
 ### 🧠 Cerebras Agent
+
 - **Role**: Advanced computational tasks and complex problem-solving
 - **Model**: Llama-4 Scout (llama-4-scout-17b-16e-instruct)
 - **Provider**: Cerebras API
@@ -43,21 +51,25 @@ The system consists of three main agents orchestrated by Docker Compose, which p
 
 ### Prerequisites
 
-+ **[Docker Desktop](https://www.docker.com/products/docker-desktop/) 4.43.0+ or [Docker Engine](https://docs.docker.com/engine/)** installed
-+ **A laptop or workstation with a GPU** (e.g., a MacBook) for running open models locally. If you don't have a GPU, you can alternatively use [**Docker Offload**](https://www.docker.com/products/docker-offload).
-+ If you're using Docker Engine on Linux or Docker Desktop on Windows, ensure that the [Docker Model Runner requirements](https://docs.docker.com/ai/model-runner/) are met (specifically that GPU support is enabled) and the necessary drivers are installed
-+ If you're using Docker Engine on Linux, ensure you have Compose 2.38.1 or later installed
+- **[Docker Desktop] 4.43.0+ or [Docker Engine]** installed.
+- **A laptop or workstation with a GPU** (e.g., a MacBook) for running open models locally. If you
+  don't have a GPU, you can alternatively use **[Docker Offload]**.
+- If you're using [Docker Engine] on Linux or [Docker Desktop] on Windows, ensure that the
+  [Docker Model Runner requirements] are met (specifically that GPU
+  support is enabled) and the necessary drivers are installed.
+- If you're using Docker Engine on Linux, ensure you have [Docker Compose] 2.38.1 or later installed.
 
 ### Configuration
 
-1. **You need a Cerebras API Key**: https://cloud.cerebras.ai/
+1. **You need a Cerebras API Key**: <https://cloud.cerebras.ai/>
 2. Create a `.env` file with the following content:
 
 ```env
 CEREBRAS_API_KEY=<your_cerebras_api_key>
 CEREBRAS_BASE_URL=https://api.cerebras.ai/v1
 CEREBRAS_CHAT_MODEL=llama-4-scout-17b-16e-instruct
 ```
+
 > look at the `.env.sample` file
 
 ### ✋ All the prompts are defined in the 🐙 compose file
@@ -71,14 +83,14 @@ docker compose up
 
 The application will be available at [http://0.0.0.0:8000](http://0.0.0.0:8000)
 
-
 ### Usage
 
 The agents can be accessed through the web interface or API endpoints.
 
 > Activate Token Streaming
 
 **You can try this**:
+
 ```text
 Hello I'm Phil
 
@@ -90,20 +102,28 @@ Cerebras can you analyse and comment this code
 
 Can you generate the tests
 ```
+
 > ✋ For a public demo, stay simple, the above examples are working.
 
 **🎥 How to use the demo**: [https://youtu.be/WYB31bzfXnM](https://youtu.be/WYB31bzfXnM)
 
 #### Routing Requests
 
 - **General requests**: Handled by DevDuck, who routes to appropriate sub-agents
-- **Specific agent requests**: 
-  - "I want to speak with Bob" → Routes to Bob agent
-  - "I want to speak with Cerebras" → Routes to Cerebras agent
+- **Specific agent requests** 
+  + "I want to speak with Bob" → Routes to Bob agent
+  + "I want to speak with Cerebras" → Routes to Cerebras agent
 
 ## Tips
 
 If for any reason, you cannot go back from the Cerebras agent to the Bob agent, try this:
+
 ```text
 go back to devduck
 ```
+
+[Docker Compose]: https://github.com/docker/compose
+[Docker Desktop]: https://www.docker.com/products/docker-desktop/
+[Docker Engine]: https://docs.docker.com/engine/
+[Docker Model Runner requirements]: https://docs.docker.com/ai/model-runner/
+[Docker Offload]: https://www.docker.com/products/docker-offload/