Update readme examples and news (#117)

Author: echo-yiyiyi

README.md

@@ -139,55 +139,89 @@ from camel.models import ModelFactory
 from camel.types import ModelPlatformType, ModelType
 
 import oasis
-from oasis import ActionType, EnvAction, SingleAction
+from oasis import (ActionType, LLMAction, ManualAction,
+                   generate_reddit_agent_graph)
 
 
 async def main():
-  # Define the model for the agents
-  openai_model = ModelFactory.create(
-      model_platform=ModelPlatformType.OPENAI,
-      model_type=ModelType.GPT_4O_MINI,
-  )
-
-  # Define the available actions for the agents
-  available_actions = [
-      ActionType.LIKE_POST,
-      ActionType.CREATE_POST,
-      ActionType.CREATE_COMMENT,
-      ActionType.FOLLOW
-  ]
-
-  # Make the environment
-  env = oasis.make(
-      platform=oasis.DefaultPlatformType.REDDIT,
-      database_path="reddit_simulation.db",
-      agent_profile_path="./data/reddit/user_data_36.json",
-      agent_models=openai_model,
-      available_actions=available_actions,
-  )
-
-  # Run the environment
-  await env.reset()
-
-  action = SingleAction(
-    agent_id=0,
-    action=ActionType.CREATE_POST,
-    args={"content": "Welcome to the OASIS World!"}
-  )
-
-  env_actions = EnvAction(
-    activate_agents=list(range(10)),  # activate the first 10 agents
-    intervention=[action]
-  )
-
-  # Apply interventions to the environment, refresh the recommendation system, and LLM agent perform actions
-  await env.step(env_actions)
-
-  # Close the environment
-  await env.close()
+    # Define the model for the agents
+    openai_model = ModelFactory.create(
+        model_platform=ModelPlatformType.OPENAI,
+        model_type=ModelType.GPT_4O_MINI,
+    )
+
+    # Define the available actions for the agents
+    available_actions = [
+        ActionType.LIKE_POST,
+        ActionType.DISLIKE_POST,
+        ActionType.CREATE_POST,
+        ActionType.CREATE_COMMENT,
+        ActionType.LIKE_COMMENT,
+        ActionType.DISLIKE_COMMENT,
+        ActionType.SEARCH_POSTS,
+        ActionType.SEARCH_USER,
+        ActionType.TREND,
+        ActionType.REFRESH,
+        ActionType.DO_NOTHING,
+        ActionType.FOLLOW,
+        ActionType.MUTE,
+    ]
+
+    agent_graph = await generate_reddit_agent_graph(
+        profile_path="./data/reddit/user_data_36.json",
+        model=openai_model,
+        available_actions=available_actions,
+    )
+
+    # Define the path to the database
+    db_path = "./data/reddit_simulation.db"
+
+    # Delete the old database
+    if os.path.exists(db_path):
+        os.remove(db_path)
+
+    # Make the environment
+    env = oasis.make(
+        agent_graph=agent_graph,
+        platform=oasis.DefaultPlatformType.REDDIT,
+        database_path=db_path,
+    )
+
+    # Run the environment
+    await env.reset()
+
+    actions_1 = {}
+    actions_1[env.agent_graph.get_agent(0)] = [
+        ManualAction(action_type=ActionType.CREATE_POST,
+                     action_args={"content": "Hello, world!"}),
+        ManualAction(action_type=ActionType.CREATE_COMMENT,
+                     action_args={
+                         "post_id": "1",
+                         "content": "Welcome to the OASIS World!"
+                     })
+    ]
+    actions_1[env.agent_graph.get_agent(1)] = ManualAction(
+        action_type=ActionType.CREATE_COMMENT,
+        action_args={
+            "post_id": "1",
+            "content": "I like the OASIS world."
+        })
+    await env.step(actions_1)
+
+    actions_2 = {
+        agent: LLMAction()
+        for _, agent in env.agent_graph.get_agents()
+    }
+
+    # Perform the actions
+    await env.step(actions_2)
+
+    # Close the environment
+    await env.close()
+
 
 if __name__ == "__main__":
-  asyncio.run(main())
+    asyncio.run(main())
 ```
 
 <br>
@@ -210,14 +244,14 @@ To discover how to create profiles for large-scale users, as well as how to visu
 > We welcome community contributions! Join us in building these exciting features.
 
 - [Support Multi Modal Platform](https://github.com/camel-ai/oasis/issues/47)
-- [Connect to the Real World](https://github.com/camel-ai/oasis/issues/79)
 
 <!-- - Public release of our dataset on Hugging Face (November 05, 2024) -->
 
 ### Latest Updates
 
-📢 Refactor into the OASIS environment, publish camel-oasis on PyPI, and release the documentation. - 📆 April 24, 2025
+📢 Add a new feature to customize each agent's models, tools, and prompts, and refactor the interface to follow the PettingZoo style. - 📆 May 22, 2025
 
+- Refactor into the OASIS environment, publish camel-oasis on PyPI, and release the documentation. - 📆 April 24, 2025
 - Support OPENAI Embedding model for Twhin-Bert Recommendation System. - 📆 March 25, 2025
 - Updated social media links and QR codes in the README! Join OASIS & CAMEL on WeChat, X, Reddit, and Discord. - 📆 March 24, 2025
 - Add multi-threading support to speed up LLM inference by 13x - 📆 March 4, 2025