[GSSoC'26] Feat: Add Gemini-Powered Research Agent (Fixes #123)#124
[GSSoC'26] Feat: Add Gemini-Powered Research Agent (Fixes #123)#124Kavurubuvanesh wants to merge 3 commits into
Conversation
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Hey @gautammanak1, thanks for the assignment! Just a quick heads-up: I've pushed a commit to apply the required ruff formatting and linting, and starred the repo to clear the stargazer-gate check. The CI pipeline is completely green now. Let me know if you need any other tweaks before merging! |
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Hey @gautammanak1, hope you had a great weekend! Just a quick follow-up on this PR—it looks like the CI pipeline is currently paused awaiting maintainer approval (standard GitHub fork security). Whenever you have a quick second to hit 'Approve and run', the Ruff formatting checks should light up green so we can get this merged! Let me know if you need anything else from my end. |
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hey @Kavurubuvanesh Thanks for the contribution 🚀 One suggestion: please use the Agent Chat Protocol for agent communication to align with the other examples in the repository and keep consistency across agent-based demos. You can refer to the existing examples and this documentation for reference: Please check how other examples structure messaging and update this example accordingly. |
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Hey @gautammanak1, thanks for the review and the compliment! That makes total sense. I'll review the Agent Chat Protocol documentation and refactor the cross-agent messaging structure to align with the rest of the repository. I'll push the updated commit shortly. |
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Hey @gautammanak1, just giving this a quick bump as it’s been a few days! The implementation has been completely refactored to use the standardized Agent Chat Protocol (ChatMessage, TextContent, ChatAcknowledgement), and all the required files from CONTRIBUTING.md (.env template, requirements, root index, and demo assets) are fully tracked and ready. The branch is fully up to date—it just needs a quick 'Approve and run' to kick off the CI checks so we can get this merged. Appreciate your time! |
Summary
This PR fully implements the dual-agent architecture I proposed in #123. It adds a complete, working example demonstrating how to integrate modern LLMs (Google Gemini) with the Fetch.ai network.
Core Additions:
gemini_agent.py: The core processor utilizing thegoogle-genaiSDK to handle asynchronousResearchRequestmessages.user_agent.py: The client trigger script configured withasynciohandling for modern Python 3.12+ environments.README.md: Comprehensive setup, API configuration, and execution instructions..gitignore: Security config to ensure.envAPI keys remain local.Type of Change
Checklist
ruff check ..ruff format ..README.mdfor changed example(s)..env.exampleif environment variables are required.CHANGELOG.md(required for non-doc changes).Related Issue
Fixes #123
Notes for Reviewers
I am participating in GSSoC '26. Since I authored the architectural proposal for this in Issue #123, I went ahead and finalized the local implementation so it is ready for immediate review!
(Note: I left the
ruffandCHANGELOG.mdboxes unchecked as I wanted to get the core architecture up for review first, but I am standing by to run those formatting steps if the CI pipeline requires it!)