Files
zooqueenandHanzo Dev b144973bfc fix(lint): resolve all ruff + black errors across all packages
Fix 35 ruff errors (E722, F841, B904, B905, B007, E741, S202, S310,
S306, S110, TID251, UP042, F401) and run black on 526 files.

Co-authored-by: Hanzo Dev <[email protected]>
2026-02-21 23:32:32 -08:00
..

Research bot

This is a simple example of a multi-agent research bot. To run it:

python -m examples.research_bot.main

Architecture

The flow is:

  1. User enters their research topic
  2. planner_agent comes up with a plan to search the web for information. The plan is a list of search queries, with a search term and a reason for each query.
  3. For each search item, we run a search_agent, which uses the Web Search tool to search for that term and summarize the results. These all run in parallel.
  4. Finally, the writer_agent receives the search summaries, and creates a written report.

Suggested improvements

If you're building your own research bot, some ideas to add to this are:

  1. Retrieval: Add support for fetching relevant information from a vector store. You could use the File Search tool for this.
  2. Image and file upload: Allow users to attach PDFs or other files, as baseline context for the research.
  3. More planning and thinking: Models often produce better results given more time to think. Improve the planning process to come up with a better plan, and add an evaluation step so that the model can choose to improve its results, search for more stuff, etc.
  4. Code execution: Allow running code, which is useful for data analysis.