add example

Author: zzstoatzz

README.md

@@ -250,23 +250,26 @@ Tasks are:
 Agents are portable LLM configurations that can be assigned to tasks. They encapsulate everything an AI needs to work effectively:
 
 ```python
+import os
 from pathlib import Path
+from pydantic_ai.models.anthropic import AnthropicModel
 import marvin
 
 def write_file(path: str, content: str):
     """Write content to a file"""
-    path = Path(path)
-    path.write_text(content)
+    _path = Path(path)
+    _path.write_text(content)
 
-# Create a specialized agent
 writer = marvin.Agent(
+    model=AnthropicModel(
+        "anthropic/claude-3-5-sonnet@latest", api_key=os.getenv("ANTHROPIC_API_KEY")
+    ),
     name="Technical Writer",
-    instructions="Write clear, engaging content for developers",
-    tools=[write_file]
+    instructions="Write concise, engaging content for developers",
+    tools=[write_file],
 )
 
 result = marvin.run("how to use pydantic? write to docs.md", agents=[writer])
-
 print(result)
 ```
 <details>

examples/hello_agent.py

@@ -0,0 +1,27 @@
+import os
+from pathlib import Path
+
+from pydantic_ai.models.anthropic import AnthropicModel
+
+import marvin
+
+
+def write_file(path: str, content: str):
+    """Write content to a file"""
+    _path = Path(path)
+    _path.write_text(content)
+
+
+# Create a specialized agent
+writer = marvin.Agent(
+    model=AnthropicModel(
+        "anthropic/claude-3-5-sonnet@latest", api_key=os.getenv("ANTHROPIC_API_KEY")
+    ),
+    name="Technical Writer",
+    instructions="Write concise, engaging content for developers",
+    tools=[write_file],
+)
+
+result = marvin.run("how to use pydantic? write to docs.md", agents=[writer])
+
+print(result)