Implement Distributed Execution with Message Queues

[Adithyakp86]

Title: [Feature] Implement Distributed Execution with Message Queues

Description

Currently, the AI Council Orchestrator runs primarily as a monolithic execution pipeline. To scale this for high-throughput, enterprise-level workloads, we need to transition the model execution and task processing into a Distributed Execution architecture.

This will involve breaking down the execution layer into worker nodes that can pull sub-tasks from a message broker, process them in parallel across different servers, and return the results for final synthesis.

Objectives & Acceptance Criteria

• Message Queue Design: Design and implement a distributed architecture integrating a robust message broker (e.g., RabbitMQ, Apache Kafka, or Redis Pub/Sub).
• Worker Nodes: Implement dedicated worker nodes responsible for parallel model execution that listen to specific task queues.
• Load Balancing: Add intelligent load balancing to distribute heavy inference tasks evenly across available workers.
• Distributed Resilience: Implement distributed circuit breakers to prevent systemic failures when specific AI APIs experience downtime or high latency.
• Distributed Tracing: Add distributed tracing (e.g., OpenTelemetry) to track requests as they move through the broker and worker nodes.
• Deployment Configs: Create boilerplate deployment configurations (Docker Compose, basic Kubernetes manifests) for standing up the distributed system.

Implementation Hints

• Start by creating an architecture proposal diagram.
• Ensure the OrchestrationLayer can seamlessly publish tasks to the broker and asynchronously wait for the synthesis results.
• OpenTelemetry is highly recommended for tracing the lifecycle of a distributed orchestrator request.

Skills Required

• Python (Asyncio)
• Distributed Systems Architecture
• Message Brokers (RabbitMQ/Kafka)
• Docker/Microservices

Constraints (Important for OSCG)

• This is a significant architectural expansion. Please provide a system design document in the comments for maintainer approval before starting development.
• Ensure that the single-node (current) execution method remains available as a configuration option for local development.

Difficulty: 🔴 Hard / Advanced
Estimated Time: 25-35 hours
Labels: enhancement, hard, OSCG, distributed-systems, architecture

Assign this issue to me under the oscg

[github-actions]

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[github-actions]

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[github-actions]

👋 Gentle Reminder

Hey @Adithyakp86! This issue was assigned to you 24 hours ago.

⏰ Timeline:

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