zylon-ai/private-gpt · error · CodeExecutionError

Code execution failed: {message}

Error message

Code execution failed: {message}

What it means

The outer catch-all of _exec_code(): any exception during remote code execution — SQL pre-processing, code preparation, or self._client.run_code — is cleaned via get_clean_exception_info and re-raised as a pandasai CodeExecutionError. The '# noqa: B904' marks an intentional missing 'from e'. The interpolated message is the cleaned traceback of the underlying failure, frequently the user's generated Python erroring inside the sandbox.

Source

Thrown at private_gpt/components/tabular/pandasai_sandbox.py:302

                )

            processed_code = self._prepare_code_for_execution(code)
            full_code = "\n\n".join(
                part for part in (self._PREAMBLE, datasets_code, processed_code) if part
            )

            execution_result = self._run(
                self._client.run_code(
                    full_code,
                    SandboxCodeOptions(language="python", timeout=self._timeout),
                )
            )
            return self._process_execution_result(execution_result)

        except Exception as e:
            message = get_clean_exception_info(e)
            logger.debug("Code execution failed: %s", message)
            raise CodeExecutionError(f"Code execution failed: {message}")  # noqa: B904

    def _process_sql_queries(
        self, sql_queries: list[str], environment: dict[str, Any]
    ) -> tuple[str, list[Exception]]:
        if not sql_queries:
            return "", []

        temp_dir = f"/tmp/{self._user_id}"
        datasets_map: dict[str, str] = {}
        exceptions: list[Exception] = []

        for sql_query in sql_queries:
            execute_sql_query_func = environment.get("execute_sql_query")
            if execute_sql_query_func is None:
                logger.warning("execute_sql_query function not found in environment")
                continue

            try:

View on GitHub (pinned to 4a030776a3)

Solutions

1. Read the embedded cleaned traceback — it pinpoints the exact line of generated code that failed.
2. For timeout: raise the sandbox timeout configuration for the adapter.
3. For code errors: retry the analysis; add corrective feedback (the error text) into the follow-up prompt so the LLM fixes its code.
4. For recurring schema mistakes: enrich the dataframe description passed to PandasAI.
5. For transport errors: verify sandbox service health and retry once.

Example fix

# before
output = sandbox._exec_code(code, env)

# after
from pandasai.exceptions import CodeExecutionError

try:
    output = sandbox._exec_code(code, env)
except CodeExecutionError as e:
    logger.warning("Generated code failed once, retrying with feedback: %s", e)
    code_v2 = regenerate_with_error_feedback(code, str(e))
    output = sandbox._exec_code(code_v2, env)

from pandasai.exceptions import CodeExecutionError

try:
    out = sandbox._exec_code(code, env)
except CodeExecutionError as e:
    out = sandbox._exec_code(regenerate_with_feedback(code, str(e)), env)

When it happens

Trigger: Generated Python raises at runtime in the remote sandbox (NameError, KeyError, pandas errors); the sandbox times out (SandboxCodeOptions timeout=self._timeout); transport errors from _client.run_code; chained from the SQL-preprocess ValueError at line 281.

Common situations: LLM-generated code referencing columns that do not exist in the dataframe; long-running analysis exceeding the configured sandbox timeout; network blips between app and sandbox; incompatible library versions inside the sandbox vs. what the generated code assumes.

Related errors

• Path '{canonical_path}' does not match any session mount.
• Failed to start sandbox: {e}
• Failed to execute some SQL queries: {', '.join(str(e) for e
• Query not found: {sql_query}
• Execution failed: {result.error or 'Unknown error'}

AI-assisted analysis of zylon-ai/private-gpt@4a030776a3 (2026-08-15). Data as JSON: /api/errors/57aebdb50e20ead0. Report an issue: GitHub.