Summary
build_wti_code_exec_config() can exhaust its response budget while loading skills/resources. The model then ends with STOP and no content, and AgentPredictor attempts json.loads(""), producing a misleading JSONDecodeError.
Reproduction
- Open
implementations/energy_oil_forecasting/02_intro_agentic_predictor.ipynb.
- Run the Step 4 code-executing agent with the default lite model.
- The forecast call can fail with
JSONDecodeError: Expecting value: line 1 column 1.
A trace showed 16,382 output tokens consumed against a 16,384 limit, with an empty final STOP response.
Expected
The agent should have enough budget to complete tool use and return structured forecast JSON; empty responses should not be parsed as JSON.
Possible fix
Raise the code-agent response budget (32,768 resolved this run) and handle empty runner output with a descriptive agent error.
Summary
build_wti_code_exec_config()can exhaust its response budget while loading skills/resources. The model then ends withSTOPand no content, andAgentPredictorattemptsjson.loads(""), producing a misleadingJSONDecodeError.Reproduction
implementations/energy_oil_forecasting/02_intro_agentic_predictor.ipynb.JSONDecodeError: Expecting value: line 1 column 1.A trace showed 16,382 output tokens consumed against a 16,384 limit, with an empty final
STOPresponse.Expected
The agent should have enough budget to complete tool use and return structured forecast JSON; empty responses should not be parsed as JSON.
Possible fix
Raise the code-agent response budget (32,768 resolved this run) and handle empty runner output with a descriptive agent error.