ScrapeGraphAI/Scrapegraph-ai · error · AnalysisError

Validation analysis failed: {str(e)}

Error message

Validation analysis failed: {str(e)}

What it means

Generic failure of the validation-focused LLM analysis chain; the underlying exception message is appended. Distinguished from InvalidStateError: this is the prompt/LLM leg failing, not the input state.

Source

Thrown at scrapegraphai/utils/code_error_analysis.py:272

                "execution_result",
            ],
        )
        chain = prompt | llm_model | StrOutputParser()

        # Execute chain with validated state
        return chain.invoke(
            {
                "generated_code": validated_state.generated_code,
                "errors": validated_state.errors["validation"],
                "json_schema": validated_state.json_schema,
                "execution_result": validated_state.execution_result,
            }
        )

    except KeyError as e:
        raise InvalidStateError(f"Missing required key in state dictionary: {e}")
    except Exception as e:
        raise AnalysisError(f"Validation analysis failed: {str(e)}")


def semantic_focused_analysis(
    state: Dict[str, Any], comparison_result: Dict[str, Any], llm_model
) -> str:
    """
    Analyzes the semantic differences in the generated code based on a comparison result.

    Args:
        state (dict): Contains the 'generated_code'.
        comparison_result (Dict[str, Any]): Contains
        'differences' and 'explanation' of the comparison.
        llm_model: The language model used for generating the analysis.

    Returns:
        str: The result of the semantic error analysis.

    Raises:

View on GitHub (pinned to 532dfffbf6)

Solutions

  1. Inspect str(e) in the message for the root cause
  2. Validate json_schema is a plain dict (JSON-serializable) before passing state
  3. Confirm llm_model works with a standalone invoke call
  4. Retry with backoff for rate-limit/network errors
Defensive patterns

Strategy: retry

Validate before calling

import json
json.dumps(state.get("json_schema", {}))  # must be serializable
llm_model.invoke("ping")  # model reachable

Try / catch

from scrapegraphai.utils.code_error_analysis import AnalysisError
try:
    validation_focused_analysis(state, llm_model)
except AnalysisError as e:
    logger.error("validation analysis failed: %s", e)
    raise

Prevention

When it happens

Trigger: validation_focused_analysis / validation_reasoning_loop invoked with a broken llm_model (auth, base_url, rate limit) or when the 'validation' prompt template cannot render because a variable's value is of an unexpected type.

Common situations: Bad or missing provider API key, unreachable OpenAI/local endpoint, non-serializable json_schema object passed in state.

Related errors

AI-assisted analysis of ScrapeGraphAI/Scrapegraph-ai@532dfffbf6 (2026-08-28). Data as JSON: /api/errors/1df189b7a4882c40. Report an issue: GitHub.