Description

This PR fixes a performance bottleneck in the graph workflow by implementing parallel execution for independent agents. Previously, the researcher, analyst, and writer agents were executing sequentially, causing unnecessary delays. This change uses asyncio.gather() to run these three agents concurrently, while maintaining the dependency order where the synthesizer runs after all agents complete.

Tested timeline:

21:10:34 ──── Writer starts (25s duration)
21:10:59 ──── Analyst starts (10s duration) ──── completes 21:11:09
21:11:09 ──── Researcher starts (33s duration) ──── completes 21:11:42
21:11:42 ──── Synthesizer starts (waits for all dependencies)

Performance Impact:

• Eliminates sequential execution bottleneck
• Significantly reduces total execution time
• Maintains correct dependency order (synthesizer waits for all agents)

Related Issues

Documentation PR

Type of Change

Bug fix

Testing

How have you tested the change?

• Tested with trace analysis showing parallel execution vs sequential
• Verified agents execute concurrently using OpenTelemetry spans
• Confirmed synthesizer still runs after all agents complete
• I ran hatch run prepare

Checklist

• I have read the CONTRIBUTING document
• I have added any necessary tests that prove my fix is effective or my feature works
• I have updated the documentation accordingly
• I have added an appropriate example to the documentation to outline the feature, or no new docs are needed
• My changes generate no new warnings
• Any dependent changes have been merged and published

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