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tested with v0.2.1

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21
docs/source/building_applications/tools.md
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@ -208,18 +208,24 @@ response = agent.create_turn(
```
## 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. When starting the Llama Stack server, ensure the API key is provided as an environment variable:
2. [Optional] Provide the API key directly to the Llama Stack server
```bash
export TAVILY_SEARCH_API_KEY="your key"
```
```bash
--env TAVILY_SEARCH_API_KEY=${TAVILY_SEARCH_API_KEY}
```
3. run the following script.
3. Run the following script.
```python
from llama_stack_client.lib.agents.agent import Agent
from llama_stack_client.types.agent_create_params import AgentConfig
from llama_stack_client.lib.agents.event_logger import EventLogger
from llama_stack_client import LlamaStackClient
client = LlamaStackClient(base_url=f"http://localhost:8321")
client = LlamaStackClient(
base_url=f"http://localhost:8321",
provider_data = {"tavily_search_api_key": "your_TAVILY_SEARCH_API_KEY"} # Set this from the client side. No need to provide it if it has already been configured on the Llama Stack server.
)
agent = Agent(
client,
@ -242,10 +248,17 @@ for log in EventLogger().log(response):
## Simple Example3: Using an Agent with the WolframAlpha Tool
1. Start by registering for a WolframAlpha API key at [WolframAlpha Developer Portal](https://developer.wolframalpha.com/access).
2. When starting the Llama Stack server, ensure the API key is provided as an environment variable:
2. Provide the API key either when starting the Llama Stack server:
```bash
--env WOLFRAM_ALPHA_API_KEY=${WOLFRAM_ALPHA_API_KEY}
```
or from the client side:
```python
client = LlamaStackClient(
base_url="http://localhost:8321",
provider_data={"wolfram_alpha_api_key": wolfram_api_key}
)
```
3. Configure the tools in the Agent by setting `tools=["builtin::wolfram_alpha"]`.
4. Example user query:
```python