Inspiration
Traditional multi-agent pipelines operate strictly downstream, creating a bottleneck when they need downstream feedback or dynamic re-routing. We wanted to build a resilient, bidirectional system that handles both execution and real-time response loops seamlessly.
What it does
The Two-Way Agent Orchestration Pipeline establishes a continuous bidirectional execution framework:
- Validate & Ingest: Inspects input payloads, sanitizes parameters, and verifies data integrity.
- Enrich & Analyze: Conducts real-time context extraction and feature tagging.
- Bidirectional Dispatch: Routes intents through modular LLM layers while simultaneously feeding execution telemetry and feedback flags back upstream for dynamic adjustment.
How we built it
Built using a low-code/no-code system design methodology centered around Relevance AI for agent workflows, integrated with GitHub for version control, and deployed with a clean frontend interface hosted on Netlify.
Challenges we ran into
Balancing low-latency asynchronous execution across bidirectional nodes while preventing race conditions and maintaining strict data schema integrity during live feedback loops.
Accomplishments that we're proud of
We implemented a seamless two-way communication loop between agents that enables dynamic payload adjustments without manual intervention.
What we learned
Mastering the intricacies of bidirectional agent architecture patterns in low-code environments to maximize throughput and reliability.
What's next for Two-Way Agent Orchestration Pipeline
Expanding the feedback loop to include automated self-healing validation nodes and multi-channel notification dispatch.
Built With
- github
- netify
- relevanceai
