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docs/source/building_applications/tools.md
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@ -165,34 +165,6 @@ all_tools = client.tools.list_tools()
group_tools = client.tools.list_tools(toolgroup_id="search_tools")
```
## Simple Example: Using an Agent with the Code-Interpreter Tool
```python
from llama_stack_client import Agent
# Instantiate the AI agent with the given configuration
agent = Agent(
client,
name="code-interpreter",
description="A code interpreter agent for executing Python code snippets",
instructions="""
You are a highly reliable, concise, and precise assistant.
Always show the generated code, never generate your own code, and never anticipate results.
""",
model="meta-llama/Llama-3.2-3B-Instruct",
tools=["builtin::code_interpreter"],
max_infer_iters=5,
)
# Start a session
session_id = agent.create_session("tool_session")
# Send a query to the AI agent for code execution
response = agent.create_turn(
messages=[{"role": "user", "content": "Run this code: print(3 ** 4 - 5 * 2)"}],
session_id=session_id,
)
```
## Simple Example 2: Using an Agent with the Web Search Tool
1. Start by registering a Tavily API key at [Tavily](https://tavily.com/).
2. [Optional] Provide the API key directly to the Llama Stack server