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To answer your question about running a ReActAgent tool until it has validated 10 results, I'll need to provide some additional context and suggestions, as the knowledge sources don't contain specific information about this exact scenario. However, I can offer some guidance based on the available information about ReActAgent in LlamaIndex.
The ReActAgent you're using is initialized with a single tool (
news_tool
), an LLM, and some parameters. To keep running the tool until you have 10 validated results, you'll need to implement a custom loop that checks the number of results and continues running the agent until the desired count is reached. Here's a general approach you could take:
- Initialize a counter for valid results.
- Create a loop that runs until the counter reaches 10.
- Within the loop, create a task for the agent and run it.
- Check the output of the task to determine if it's a valid result.
- If it's valid, increment the counter.
Here's a pseudo-code example of how you might implement this:
agent = ReActAgent.from_tools(
[news_tool], llm=llm, verbose=True, memory=False, max_iterations=30,
)
valid_results = 0
while valid_results < 10:
task = agent.create_task("Your task description here")
response = agent.run(task.task_id)
# Implement your validation logic here
if is_valid_result(response):
valid_results += 1
print(f"Valid results: {valid_results}")
print("Finished collecting 10 valid results")
Please note that this is a simplified example, and you'll need to adapt it to your specific use case. You should implement the
is_valid_result()
function to check if the agent's response meets your criteria for a valid result.