[DOCS][Model Examples]

docs/swarms/examples/claude.md

@@ -1,6 +1,7 @@
 # Agent with Anthropic/Claude
 
 - Get their api keys and put it in the `.env`
+
 - Select your model_name like `claude-3-sonnet-20240229` follows LiteLLM conventions
 
 

docs/swarms/examples/cohere.md

@@ -1,6 +1,7 @@
 # Agent with Cohere
 
 - Add your `COHERE_API_KEY` in the `.env` file
+
 - Select your model_name like `command-r` follows LiteLLM conventions
 
 

docs/swarms/examples/deepseek.md

@@ -1,7 +1,9 @@
 # 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!
 
 

docs/swarms/examples/groq.md

@@ -1,5 +1,6 @@
 # Agent with Groq
 
+- Add your `GROQ_API_KEY`
 
 ```python
 import os

docs/swarms/examples/ollama.md

@@ -0,0 +1,24 @@
+# Agent with Ollama
+
+- No API key needed
+- Select your model_name like `ollama/llama2` follows [LiteLLM conventions](https://docs.litellm.ai/docs/providers/ollama)
+
+
+```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="ollama/llama2",
+    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?")
+```

docs/swarms/examples/openai_example.md

@@ -1,5 +1,8 @@
 # Agent with GPT-4o-Mini
 
+- Add `OPENAI_API_KEY="your_key"` to your `.env` file
+- Select your model like `gpt-4o-mini` or `gpt-4o`
+
 ```python
 from swarms import Agent