[DOCS][Cohere Example]

docs/swarms/examples/claude.md

@@ -17,7 +17,6 @@ agent = Agent(
     model_name="claude-3-sonnet-20240229",
     system_prompt="Agent system prompt here",
     agent_description="Agent performs financial analysis.",
-    llm=model,
 )
 
 # Run a query

docs/swarms/examples/cohere.md

@@ -17,7 +17,6 @@ agent = Agent(
     model_name="command-r",
     system_prompt="Agent system prompt here",
     agent_description="Agent performs financial analysis.",
-    llm=model,
 )
 
 # Run a query

docs/swarms/examples/deepseek.md

@@ -0,0 +1,25 @@
+# Agent with DeepSeek
+
+- Add your `DEEPSEEK_API_KEY` in the `.env` file
+- Select your model_name like `deepseek/deepseek-chat` follows [LiteLLM conventions](https://docs.litellm.ai/docs/providers/deepseek)
+- Execute your agent!
+
+
+```python
+from swarms import Agent
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# Initialize the agent with ChromaDB memory
+agent = Agent(
+    agent_name="Financial-Analysis-Agent",
+    model_name="deepseek/deepseek-chat",
+    system_prompt="Agent system prompt here",
+    agent_description="Agent performs financial analysis.",
+)
+
+# Run a query
+agent.run("What are the components of a startup's stock incentive equity plan?")
+```