docs examples groupchat and also swarms of browser use agents

docs/mkdocs.yml

@@ -254,12 +254,11 @@ nav:
     
   - Examples:
     - Overview: "swarms/examples/unique_swarms.md"
-
     - Swarms API Examples:
       - Medical Swarm: "swarms/examples/swarms_api_medical.md"
       - Finance Swarm: "swarms/examples/swarms_api_finance.md"
       - ML Model Code Generation Swarm: "swarms/examples/swarms_api_ml_model.md"
-    - Various Model Providers:
+    - Individal LLM Examples:
       - OpenAI: "swarms/examples/openai_example.md"
       - Anthropic: "swarms/examples/claude.md"
       - Groq: "swarms/examples/groq.md"
@@ -278,10 +277,13 @@ nav:
         - Quant Crypto Agent: "swarms/examples/quant_crypto_agent.md"
     - Meme Agents:
       - Bob The Builder: "swarms/examples/bob_the_builder.md"
-      - Meme Agent Builder: "swarms/examples/meme_agents.md"
     - Multi-Agent Collaboration:
       - Swarms DAO: "swarms/examples/swarms_dao.md"
       - Hybrid Hierarchical-Cluster Swarm Example: "swarms/examples/hhcs_examples.md"
+      - Group Chat Example: "swarms/examples/groupchat_example.md"
+      - Meme Agent Builder: "swarms/examples/meme_agents.md"
+      - External Agents:
+        - Swarms of Browser Agents: "swarms/examples/swarms_of_browser_agents.md"
     - Swarms UI:
       - Overview: "swarms/ui/main.md"
 

docs/swarms/examples/groupchat_example.md

@@ -0,0 +1,82 @@
+# Groupchat Example
+
+- Import required modules
+
+- Configure your agents first
+
+- Set your api keys for your model provider in the `.env` file such as `OPENAI_API_KEY="sk-"`
+
+- Conigure `GroupChat` with it's various settings
+
+
+## Install
+```bash
+pip install swarms
+```
+
+---------
+
+## Main Code
+
+```python
+from dotenv import load_dotenv
+import os
+
+from swarms import Agent, GroupChat
+
+if __name__ == "__main__":
+
+    load_dotenv()
+
+    # Get the OpenAI API key from the environment variable
+    api_key = os.getenv("OPENAI_API_KEY")
+
+    # Example agents
+    agent1 = Agent(
+        agent_name="Expense-Analysis-Agent",
+        description="You are an accounting agent specializing in analyzing potential expenses.",
+        model_name="gpt-4o-mini",
+        max_loops=1,
+        autosave=False,
+        dashboard=False,
+        verbose=True,
+        dynamic_temperature_enabled=True,
+        user_name="swarms_corp",
+        retry_attempts=1,
+        context_length=200000,
+        output_type="string",
+        streaming_on=False,
+        max_tokens=15000,
+    )
+
+    agent2 = Agent(
+        agent_name="Budget-Adviser-Agent",
+        description="You are a budget adviser who provides insights on managing and optimizing expenses.",
+        model_name="gpt-4o-mini",
+        max_loops=1,
+        autosave=False,
+        dashboard=False,
+        verbose=True,
+        dynamic_temperature_enabled=True,
+        user_name="swarms_corp",
+        retry_attempts=1,
+        context_length=200000,
+        output_type="string",
+        streaming_on=False,
+        max_tokens=15000,
+    )
+
+    agents = [agent1, agent2]
+
+    chat = GroupChat(
+        name="Expense Advisory",
+        description="Accounting group focused on discussing potential expenses",
+        agents=agents,
+        max_loops=1,
+        output_type="all",
+    )
+
+    history = chat.run(
+        "What potential expenses should we consider for the upcoming quarter? Please collaborate to outline a comprehensive list."
+    )
+```

docs/swarms/examples/swarms_of_browser_agents.md

@@ -0,0 +1,65 @@
+# Swarms x Browser Use
+
+- Import required modules
+
+- Configure your agent first by making a new class
+
+- Set your api keys for your model provider in the `.env` file such as `OPENAI_API_KEY="sk-"`
+
+- Conigure your `ConcurrentWorkflow`
+
+## Install
+
+```bash
+pip install swarms browser-use langchain-openai
+```
+--------
+
+
+## Main
+```python
+import asyncio
+
+from browser_use import Agent
+from dotenv import load_dotenv
+from langchain_openai import ChatOpenAI
+
+from swarms import ConcurrentWorkflow
+
+load_dotenv()
+
+
+class BrowserAgent:
+    def __init__(self, agent_name: str = "BrowserAgent"):
+        self.agent_name = agent_name
+
+    async def browser_agent_test(self, task: str):
+        agent = Agent(
+            task=task,
+            llm=ChatOpenAI(model="gpt-4o"),
+        )
+        result = await agent.run()
+        return result
+
+    def run(self, task: str):
+        return asyncio.run(self.browser_agent_test(task))
+
+
+swarm = ConcurrentWorkflow(
+    agents=[BrowserAgent() for _ in range(3)],
+)
+
+swarm.run(
+    """
+    Go to pump.fun.
+    
+    2. Make an account: use email: "test@test.com" and password: "test1234"
+    
+    3. Make a coin called and give it a cool description and etc. Fill in the form
+    
+    4. Sit back and watch the coin grow in value.
+    
+    """
+)
+
+```

groupchat_example.py

@@ -3,9 +3,6 @@ import os
 
 from swarms.structs.agent import Agent
 from swarms.structs.groupchat import GroupChat
-from swarms.prompts.multi_agent_collab_prompt import (
-    MULTI_AGENT_COLLAB_PROMPT_TWO,
-)
 
 if __name__ == "__main__":