ScrapeGraphAI/Scrapegraph-ai · error · CodeGenerationError

Execution code generation failed: {str(e)}

Error message

Execution code generation failed: {str(e)}

What it means

Catch-all failure of the execution-focused code-generation LLM chain; root cause is embedded in str(e). The inputs passed shape validation, so look at the LLM/prompt layer.

Source

Thrown at scrapegraphai/utils/code_error_correction.py:189

        # Create prompt template and chain
        prompt = PromptTemplate(
            template=get_optimal_correction_template("execution"),
            input_variables=["analysis", "generated_code"],
        )
        chain = prompt | llm_model | StrOutputParser()

        # Execute chain with validated state
        return chain.invoke(
            {"analysis": analysis, "generated_code": validated_state.generated_code}
        )

    except KeyError as e:
        raise InvalidCorrectionStateError(
            f"Missing required key in state dictionary: {e}"
        )
    except Exception as e:
        raise CodeGenerationError(f"Execution code generation failed: {str(e)}")


def validation_focused_code_generation(
    state: Dict[str, Any], analysis: str, llm_model
) -> str:
    """
    Generates corrected code based on validation error analysis.

    Args:
        state (dict): Contains the 'generated_code' and 'json_schema'.
        analysis (str): The analysis of the validation errors.
        llm_model: The language model used for generating the corrected code.

    Returns:
        str: The corrected code.

    Raises:
        InvalidCorrectionStateError: If state is missing required keys or analysis is invalid.

View on GitHub (pinned to 532dfffbf6)

Solutions

  1. Inspect str(e) for the concrete provider/prompt error
  2. Test llm_model connectivity independently
  3. Reduce payload size (truncate html/generated_code) if context limit hit
  4. Retry transient failures with exponential backoff
Defensive patterns

Strategy: retry

Validate before calling

llm_model.invoke("ping")
assert isinstance(analysis, str) and analysis

Try / catch

from scrapegraphai.utils.code_error_correction import CodeGenerationError
try:
    new_code = execution_focused_code_generation(state, analysis, llm_model)
except CodeGenerationError as e:
    logger.error("execution correction failed: %s", e)
    raise

Prevention

When it happens

Trigger: execution_focused_code_generation / execution_reasoning_loop with failing llm_model (auth, quota, network) or template render failure (e.g. None analysis slipped through type check via non-str path, oversized generated_code).

Common situations: Invalid API key, provider rate limiting, context length exceeded by large HTML/code payloads, transient timeouts.

Related errors

AI-assisted analysis of ScrapeGraphAI/Scrapegraph-ai@532dfffbf6 (2026-08-28). Data as JSON: /api/errors/ce02762390300d86. Report an issue: GitHub.