Add structured trace logging for multi-agent runs
Motivation
Multi-agent workflows can become complex, making it difficult to debug or analyze interactions between agents. A structured trace logging system would provide clear visibility into agent actions, decisions, and interdependencies during a run. This would help identify bottlenecks, unexpected behaviors, and optimization opportunities.
Proposed approach
- Introduce a structured logging format (e.g., JSON or NDJSON) to capture agent-level events, metadata, and timestamps.
- Implement an optional logging mode that can be toggled via a configuration setting (e.g., YAML config or CLI flag).
- Include granular log levels so users can control verbosity, ranging from high-level summaries to detailed execution traces.
This would make debugging and performance tuning for multi-agent runs significantly more efficient.
Add structured trace logging for multi-agent runs
Motivation
Multi-agent workflows can become complex, making it difficult to debug or analyze interactions between agents. A structured trace logging system would provide clear visibility into agent actions, decisions, and interdependencies during a run. This would help identify bottlenecks, unexpected behaviors, and optimization opportunities.
Proposed approach
This would make debugging and performance tuning for multi-agent runs significantly more efficient.