ScrapeGraphAI/Scrapegraph-ai · error · InvalidCorrectionStateError

Missing required key in state dictionary: {e}

Error message

Missing required key in state dictionary: {e}

What it means

Raised by syntax_focused_code_generation when a KeyError occurs while building/invoking the correction chain — the state dict is missing a required key (message names it). Note CorrectionState defaults generated_code to '', so this fires for template-driven key accesses.

Source

Thrown at scrapegraphai/utils/code_error_correction.py:132

        )

        if not analysis or not isinstance(analysis, str):
            raise InvalidCorrectionStateError("Analysis must be a non-empty string")

        # 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:

View on GitHub (pinned to 532dfffbf6)

Solutions

1. Include 'generated_code' (and any keys the current template requires) in state
2. Regenerate/verify you are on a consistent scrapegraphai version so templates and code match
3. Log the state keys before invoking the correction loop

Example fix

# before
syntax_focused_code_generation({}, analysis, llm)
# after
syntax_focused_code_generation({"generated_code": code}, analysis, llm)

state.setdefault("generated_code", "")
assert "generated_code" in state

def correction_state_ok(s) -> bool:
    return isinstance(s, dict) and isinstance(s.get("generated_code"), str)

from scrapegraphai.utils.code_error_correction import InvalidCorrectionStateError
try:
    syntax_focused_code_generation(state, analysis, llm_model)
except InvalidCorrectionStateError as e:
    raise ValueError(f"state incomplete: {e}") from e

When it happens

Trigger: syntax_focused_code_generation with a state lacking keys the 'syntax' correction template consumes, or a chain.invoke payload key missing relative to input_variables.

Common situations: Hand-built state without 'generated_code'; template/input_variables mismatch after upgrading scrapegraphai where the template gained a variable.

Related errors

• Missing required key: {e}
• LLM configuration must include an 'api_key'.
• langchain_google_genai is not installed. Please install it u
• No audio generated from the text.
• Syntax analysis failed: {str(e)}

AI-assisted analysis of ScrapeGraphAI/Scrapegraph-ai@532dfffbf6 (2026-08-28). Data as JSON: /api/errors/7bde888bda1e4c15. Report an issue: GitHub.