haive.agents.research.open_perplexity.examples.run_from_file

Example script that demonstrates running the open_perplexity research agent. from typing import Any with a research question loaded from a text file.

Functions

load_research_question(file_path)	Load research question from a text file.
parse_arguments()	Parse command line arguments.
run_research(question_file[, output_dir, ...])	Run research based on a question from a file.
setup_logging([log_file])	Set up logging configuration.

Module Contents

haive.agents.research.open_perplexity.examples.run_from_file.load_research_question(file_path)

Load research question from a text file.

Return type:

Any

haive.agents.research.open_perplexity.examples.run_from_file.parse_arguments()

Parse command line arguments.

Return type:

Any

haive.agents.research.open_perplexity.examples.run_from_file.run_research(question_file, output_dir=None, research_depth=2, max_sources=5)

Run research based on a question from a file.

Parameters:

• question_file – Path to file containing the research question

• output_dir – Directory for outputs (default: ./outputs)

• research_depth – Depth of research (1-3)

• max_sources – Maximum number of sources per query

Returns:

Boolean indicating success or failure

Return type:

bool

haive.agents.research.open_perplexity.examples.run_from_file.setup_logging(log_file='research_run.log')

Set up logging configuration.

Return type:

Any