The authors propose ABCAgent, where agent behavior is fully specified as a Python program, with the FM agent editing the program when execution failures occur or when the task changes.
Programmatic code specifies agent behavior, improving robustness and efficiency
ABCAgent uses a symbolic program written and edited by a foundation model to govern execution, matching or exceeding neural agents with lower cost.
Industry
Peng Qi · Chunliang Lyu · Gang Li · Fabian Chan · Cheng Chang · Ignacio Cases · +1 more
Uniphore
Research Digest··2 min read
The authors introduce ABCAgent, which specifies an FM agent's behavior as a symbolic program (Python code with optional neural calls).
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ABCAgent specifies FM agent behavior as editable Python code for robust and efficient task execution.
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- ✓Limitations stated by the authors
- ✓Reports numbers on named benchmarks (4 benchmarks)
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