ScrapeGraphAI/Scrapegraph-ai · error · CodeGenerationError

Syntax code generation failed: {str(e)}

Error message

Syntax code generation failed: {str(e)}

What it means

Generic failure of the syntax-focused code-generation LLM chain; the original exception text is appended. The state was valid enough to reach invoke(), so the failure is in the LLM call or prompt rendering.

Source

Thrown at scrapegraphai/utils/code_error_correction.py:136

        # Create prompt template and chain
        prompt = PromptTemplate(
            template=get_optimal_correction_template("syntax"),
            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"Syntax code generation failed: {str(e)}")


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

    Args:
        state (dict): Contains the 'generated_code'.
        analysis (str): The analysis of the execution 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. Read str(e) from the message to get the root cause
  2. Sanity-test llm_model with a direct invoke
  3. Trim/limit generated_code length if context overflow is indicated
  4. Retry with backoff for rate limit / transient network errors
Defensive patterns

Strategy: retry

Validate before calling

llm_model.invoke("ping")  # fail fast on auth/network issues

Try / catch

from scrapegraphai.utils.code_error_correction import CodeGenerationError
for attempt in range(3):
    try:
        new_code = syntax_focused_code_generation(state, analysis, llm_model)
        break
    except CodeGenerationError as e:
        if attempt == 2:
            raise
        time.sleep(2 ** attempt)

Prevention

When it happens

Trigger: syntax_focused_code_generation / syntax_reasoning_loop with misconfigured llm_model (auth, base_url), provider timeout/rate limit, or PromptTemplate rendering failure for the 'syntax' correction template.

Common situations: Expired API key, local LLM server down, long generated_code exceeding context window, langchain version incompatibility.

Related errors

AI-assisted analysis of ScrapeGraphAI/Scrapegraph-ai@532dfffbf6 (2026-08-28). Data as JSON: /api/errors/b99ff3b3467341a7. Report an issue: GitHub.