Remove support for deepseek

README.md

@@ -1,134 +1,156 @@
 # GAME Python SDK Library
+
 The GAME Python SDK is a library that allows you interact and develop agents powered by the GAME architecture.
 
-## Overview of the Source Code Structure 
+## Overview of the Source Code Structure
 
 There are 2 main folders in the source code (`src` folder)
 
 1. `game`:
 
-    Please refer to [`test_agent.py`](examples/game/test_agent.py) and [`test_worker.py`](examples/game/test_worker.py) for usage examples.
+   Please refer to [`test_agent.py`](examples/game/test_agent.py) and [`test_worker.py`](examples/game/test_worker.py) for usage examples.
 
 2. `hosted_game`<br/>
 
-    This is a more abstracted version of the SDK which allows one to deploy a Twitter agent, which would then be hosted by GAME infrastructure. 
-    
-    Note that this README focuses on the code in the `game` folder. More details about `hosted_game` can be found in [`src/hosted_game/README.md`](src/game_sdk/hosted_game/README.md).
+   This is a more abstracted version of the SDK which allows one to deploy a Twitter agent, which would then be hosted by GAME infrastructure.
+
+   Note that this README focuses on the code in the `game` folder. More details about `hosted_game` can be found in [`src/hosted_game/README.md`](src/game_sdk/hosted_game/README.md).
 
 ## Installation
+
 ```bash
 pip install game_sdk
 ```
 
 To get the latest version of the SDK, clone the repository and install from source:
+
 ```bash
 git clone https://github.com/game-by-virtuals/game-python.git
 cd game-python
 pip install -e .
 ```
+
 To install the latest versions of the plugins, navigate to the plugin folder to run the installation, e.g.:
+
 ```bash
 cd plugins/twitter
 pip install -e .
 ```
 
 ## Model Selection
+
 The foundation models which power the GAME framework can also be confgiured and selected. This can be specified when creating agents or workers. The default model used is "Llama-3.1-405B-Instruct".
 
 The models currently supported are:
+
 - "Llama-3.1-405B-Instruct" (default)
 - "Llama-3.3-70B-Instruct"
-- "DeepSeek-R1"
-- "DeepSeek-V3"
 - "Qwen-2.5-72B-Instruct"
 
-**Note: If model is not specified in the API call (REST API level) or on the SDK level when creating the agents, the default (Llama-3.1-405B-Instruct) model will be used.
+\*\*Note: If model is not specified in the API call (REST API level) or on the SDK level when creating the agents, the default (Llama-3.1-405B-Instruct) model will be used.
 
 ## Usage
+
 1. `game`:
-   - Request for a GAME API key in the Game Console https://console.game.virtuals.io/ 
-   - Store the key in a safe location, like a `.bashrc` or a `.zshrc` file. 
-      
-      ```bash
-      export GAME_API_KEY="your_game_api_key"
-      ```
+
+   - Request for a GAME API key in the Game Console https://console.game.virtuals.io/
+   - Store the key in a safe location, like a `.bashrc` or a `.zshrc` file.
+     ```bash
+     export GAME_API_KEY="your_game_api_key"
+     ```
    - Refer to [`src/game/README.md`](src/game_sdk/game/README.md) for usage guidelines, and refer to [`test_agent.py`](examples/game/test_agent.py) and [`test_worker.py`](examples/game/test_worker.py) for usage examples.
 
 2. `hosted_game`<br/>
-    - Open the [Virtuals Platform](https://app.virtuals.io/) and create/get an API key from the Agent Sandbox by clicking `SDK/API Access`
-      ![getGAMEApi](docs/imgs/accesskey.jpg)
-
-    - Store the key in a safe location, like a `.bashrc` or a `.zshrc` file. 
-
-      ```bash
-      export VIRTUALS_API_KEY="your_virtuals_api_key"
-      ```
-    - Refer to [`src/hosted_game/README.md`](src/game_sdk/hosted_game/README.md) for usage examples.
-
+
+   - Open the [Virtuals Platform](https://app.virtuals.io/) and create/get an API key from the Agent Sandbox by clicking `SDK/API Access`
+     ![getGAMEApi](docs/imgs/accesskey.jpg)
+
+   - Store the key in a safe location, like a `.bashrc` or a `.zshrc` file.
+
+     ```bash
+     export VIRTUALS_API_KEY="your_virtuals_api_key"
+     ```
+
+   - Refer to [`src/hosted_game/README.md`](src/game_sdk/hosted_game/README.md) for usage examples.
+
 <small> If you have any trouble, contact Virtuals support or DevRel team members via Discord or Telegram </small>
 
 ## Examples
-  ### GAME
-  Example 1: [`test_agent.py`](examples/game/test_agent.py) 
-  - Demonstrates how to create, configure, and run an AI agent with custom logic and workflows.
-    ```bash
-    python examples/game/test_agent.py
-    ```
-
-  Example 2: [`test_worker.py`](examples/game/test_worker.py)
-  - Demonstrates how to configure, test, and manage workers that execute tasks within the agent's plan.
-    ```bash
-    python examples/game/test_worker.py
-    ```
-
-  Example 3: [`example_twitter_reaction_module.py`](examples/game/example_twitter_reaction_module.py)
-  - Demonstrates how to create and configure an AI agent with a reaction module for responding to tweets in real-time.
-    ```bash
-    python examples/game/example_twitter_reaction_module.py
-    ```
-
-  ### Hosted Agent
-  Example 1: [`example-custom.py`](examples/hosted_agent/example-custom.py) 
-  - A complete guide to integrating an AI agent with other platform such as Telegram.
-    ```bash
-    python examples/hosted_agent/example-custom.py
-    ```
-
-  Example 2: [`example-twitter.py`](examples/hosted_agent/example-twitter.py)
-  - A complete guide to integrating an AI agent with Twitter.
-    ```bash
-    python examples/hosted_agent/example-twitter.py
-    ```
+
+### GAME
+
+Example 1: [`test_agent.py`](examples/game/test_agent.py)
+
+- Demonstrates how to create, configure, and run an AI agent with custom logic and workflows.
+  ```bash
+  python examples/game/test_agent.py
+  ```
+
+Example 2: [`test_worker.py`](examples/game/test_worker.py)
+
+- Demonstrates how to configure, test, and manage workers that execute tasks within the agent's plan.
+  ```bash
+  python examples/game/test_worker.py
+  ```
+
+Example 3: [`example_twitter_reaction_module.py`](examples/game/example_twitter_reaction_module.py)
+
+- Demonstrates how to create and configure an AI agent with a reaction module for responding to tweets in real-time.
+  ```bash
+  python examples/game/example_twitter_reaction_module.py
+  ```
+
+### Hosted Agent
+
+Example 1: [`example-custom.py`](examples/hosted_agent/example-custom.py)
+
+- A complete guide to integrating an AI agent with other platform such as Telegram.
+  ```bash
+  python examples/hosted_agent/example-custom.py
+  ```
+
+Example 2: [`example-twitter.py`](examples/hosted_agent/example-twitter.py)
+
+- A complete guide to integrating an AI agent with Twitter.
+  ```bash
+  python examples/hosted_agent/example-twitter.py
+  ```
 
 ## About G.A.M.E.
+
 GAME is a modular agentic framework which enables an agent to plan actions and make decisions autonomously based on information provided to it.
 
 Please refer to our [whitepaper](https://docs.game.virtuals.io/) for more information and resources.
 
 ## About GAME Python SDK
+
 Currently, the SDK (specifically the code in the `game` folder) allows you to develop your agents powered by the GAME architecture in its most fullest and most flexible form.
 
 ![New SDK visual](docs/imgs/new_sdk_visual.png)
 The python SDK is made up of 3 main components (Agent, Worker, function), each with configurable arguments.
 
 Agent (a.k.a. [high level planner](https://docs.game.virtuals.io/))
+
 - Takes in a <b>Goal</b>
   - Drives the agents behaviour through the high level plan which influences the thinking and creation of tasks that would contribute towards this goal
 - Takes in a <b>Description</b>
   - Combination of what was previously known as World Info + Agent Description
   - This include a description of the "world" the agent lives in, and the personality and background of the agent
 
-Worker (a.k.a. [low-level planner](https://docs.game.virtuals.io/) 
+Worker (a.k.a. [low-level planner](https://docs.game.virtuals.io/)
+
 - Takes in a <b>Description</b>
   - Used to control which workers are called by the agent, based on the high-level plan and tasks created to contribute to the goal
 
 Function
+
 - Takes in a <b>Description</b>
   - Used to control which functions are called by the workers, based on each worker's low-level plan
   - This can be any python executable
 
 ## Features
-- Develop your own custom agents for any application or platform. 
+
+- Develop your own custom agents for any application or platform.
 - Ability to control your agents and workers via descriptions (prompts)
 - Full control of what the agent sees (state) and can do (actions/functions)
 - Ability to fully customise functions. This could include various combinations of programmed logic. For example:
@@ -137,29 +159,36 @@ Function
   - 2 API calls chained together (e.g. calling an API to retrieve web data, and then posting a tweet)
 
 > ### ℹ️ Differences from the hosted GAME SDK version (i.e. `hosted_game`)
->![Old SDK visual](docs/imgs/old_sdk_visual.png)
+>
+> ![Old SDK visual](docs/imgs/old_sdk_visual.png)
+>
 > - Ability to fully customise functions (previously, each function was a single API call)
 > - Ability to control the low-level planner via description prompt (previously, only the high-level planner and functions could be controlled via description prompts)
 > - The description defined in the agent is equivalent to what was previously known as world information and agent description
 
 ## How to Contribute
+
 Want to help improve the project? Please see our detailed [Contribution Guide](./CONTRIBUTION_GUIDE.md).
 
 ## Documentation
+
 Detailed documentation to better understand the configurable components and the GAME architecture can be found on [here](https://whitepaper.virtuals.io/developer-documents/game-framework).
 
 ## Useful Resources
 
 #### 1. [GAME TypeScript SDK](https://github.com/game-by-virtuals/game-node)
-   - This SDK mirrors the logic of the Python SDK but allows development in TypeScript.
-   - The repository contains TypeScript SDK documentation and [contributed plugins](https://github.com/game-by-virtuals/game-node/tree/main/plugins) .
+
+- This SDK mirrors the logic of the Python SDK but allows development in TypeScript.
+- The repository contains TypeScript SDK documentation and [contributed plugins](https://github.com/game-by-virtuals/game-node/tree/main/plugins) .
 
 #### 2. [Hosted GAME Agent](./src/game_sdk/hosted_game/README.md)
-   - This feature enables the configuration and deployment of a hosted agent that interacts with platforms like Twitter/X.
-   - Pre-built functions and actions are included for integration with the Twitter/X platform.
-   - It offers a similar experience to configuring an agent in the [Agent Sandbox](https://game-lite.virtuals.io/) on the [Virtuals Platform](https://app.virtuals.io/), but with a developer-friendly SDK interface.
+
+- This feature enables the configuration and deployment of a hosted agent that interacts with platforms like Twitter/X.
+- Pre-built functions and actions are included for integration with the Twitter/X platform.
+- It offers a similar experience to configuring an agent in the [Agent Sandbox](https://game-lite.virtuals.io/) on the [Virtuals Platform](https://app.virtuals.io/), but with a developer-friendly SDK interface.
 
 #### 3. [GAME Whitepaper](https://whitepaper.virtuals.io/developer-documents/game-framework)
-   - Comprehensive documentation about the GAME SDK and Sandbox.
-   - The [How To](https://docs.game.virtuals.io/how-to) section includes video tutorials, use cases, and additional tips.
-   - Content is regularly updated to provide new insights and improvements.
+
+- Comprehensive documentation about the GAME SDK and Sandbox.
+- The [How To](https://docs.game.virtuals.io/how-to) section includes video tutorials, use cases, and additional tips.
+- Content is regularly updated to provide new insights and improvements.

src/game_sdk/hosted_game/README.md

@@ -65,7 +65,7 @@ agent.get_description()
 agent.get_task_description()
 
 # set game engine model
-# Available models: llama_3_1_405b, deepseek_r1, llama_3_3_70b_instruct, qwen2p5_72b_instruct, deepseek_v3
+# Available models: llama_3_1_405b, llama_3_3_70b_instruct, qwen2p5_72b_instruct
 agent.set_game_engine_model("llama_3_1_405b")
 
 # Set heartbeat

src/game_sdk/hosted_game/agent.py

@@ -289,7 +289,11 @@ def set_task_description(self, task_description: str):
         return True
 
     def set_game_engine_model(self, game_engine_model: str):
-        # Available models: llama_3_1_405b, deepseek_r1, llama_3_3_70b_instruct, qwen2p5_72b_instruct, deepseek_v3
+        # Available models: llama_3_1_405b, llama_3_3_70b_instruct, qwen2p5_72b_instruct, 
+        # Validate model is one of the supported options
+        valid_models = ["llama_3_1_405b", "llama_3_3_70b_instruct", "qwen2p5_72b_instruct"]
+        if game_engine_model not in valid_models:
+            raise ValueError(f"Invalid model: {game_engine_model}. Must be one of: {', '.join(valid_models)}")
         self.game_engine_model = game_engine_model
         return True