ChromaFlow Framework Analyzes Agent Orchestration Overhead
A new study introduces ChromaFlow, a tool-augmented autonomous reasoning framework, to measure operational overhead in language-model agents. The framework uses planner-directed execution, specialized tools, and telemetry-driven evaluation. On GAIA 2023 Level-1 validation tasks, a frozen baseline achieved 54.72% accuracy (29/53), while an expanded orchestration configuration dropped to 50.94% (27/53) with increased tracebacks, timeouts, and tool failures. Randomized smoke evaluations scored 12/20 and 11/20. The research highlights failure modes invisible to final accuracy metrics.
Key facts
- ChromaFlow is a tool-augmented autonomous reasoning framework.
- It uses planner-directed execution, specialized tool use, and telemetry-driven evaluation.
- Evaluation was conducted on GAIA 2023 Level-1 validation tasks.
- Frozen baseline achieved 29/53 correct answers (54.72%).
- Expanded orchestration configuration achieved 27/53 correct answers (50.94%).
- Expanded configuration increased tracebacks, timeout events, tool-failure mentions, token-line calls, and campaign-log cost estimates.
- Two randomized 20-task smoke evaluations produced 12/20 and 11/20 correct answers.
- The study focuses on operational failure modes not visible from final accuracy alone.
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