zylon-ai/private-gpt · error · ValueError

We don't have any result

Error message

We don't have any result

What it means

Raised in _chat_with_sandbox when self._pandas_ai.chat(...) returns a falsy result (None, empty). The sandbox is started/stopped around the call in try/finally, so this fires after a chat call that completed without raising but produced nothing — typically the pipeline short-circuited (no code generated, filtering rejected the output, or the underlying library returned None).

Source

Thrown at private_gpt/components/tabular/pandasai_service.py:297

        if session is None:
            return None

        return PandasAISandboxAdapter(client=session)

    def _execute_chat(
        self,
        query: str,
        smart_dataframes: list[DataFrame | VirtualDataFrame],
        sandbox: Sandbox | None,
    ) -> BaseResponse:
        """Execute the PandasAI chat call, managing sandbox lifecycle if needed."""
        try:
            if sandbox is not None:
                sandbox.start()

            result = self._pandas_ai.chat(query, *smart_dataframes, sandbox=sandbox)
            if not result:
                raise ValueError("We don't have any result")
            return result
        finally:
            if sandbox is not None:
                sandbox.stop()

    def _run_analysis_sync(
        self,
        query: str,
        smart_dataframes: list[DataFrame | VirtualDataFrame],
        sandbox: Sandbox | None,
    ) -> PandasAIOutput:
        """Synchronous analysis execution with sandbox management."""
        try:
            result = self._execute_chat(query, smart_dataframes, sandbox)
        except Exception as e:
            logger.error(f"Error during PandasAI analysis: {e}")
            result = ErrorResponse(error=str(e))

View on GitHub (pinned to 4a030776a3)

Solutions

1. Enable debug logging for the pandasai layer to see why chat returned nothing (code generation step is usual culprit).
2. Verify smart_dataframes are non-empty and schemas are attached before calling chat.
3. Check the pandasai LLM configuration (key, model) — silent auth failures often end in None.
4. Retry once; transient LLM failures can yield empty results.
5. Treat as a user-facing 'analysis produced no result' case rather than crashing.

Example fix

# before
result = self._pandas_ai.chat(query, *smart_dataframes, sandbox=sandbox)
if not result:
    raise ValueError("We don't have any result")

# after (retry once, then degrade gracefully)
result = self._pandas_ai.chat(query, *smart_dataframes, sandbox=sandbox)
if not result:
    logger.warning("Empty analysis result, retrying once")
    result = self._pandas_ai.chat(query, *smart_dataframes, sandbox=sandbox)
if not result:
    raise ValueError("We don't have any result")

def inputs_valid(query: str, dfs: list) -> bool:
    return bool(query.strip()) and all(df is not None for df in dfs)

try:
    result = service._chat_with_sandbox(query, dfs, sandbox)
except ValueError as e:
    if "We don't have any result" in str(e):
        result = service._chat_with_sandbox(query, dfs, sandbox)  # one retry
    else:
        raise

When it happens

Trigger: pandasai chat returns None because code generation or execution was skipped/rejected internally; an empty conversation context or missing smart_dataframes causes an early None return; version of pandasai whose chat returns Optional[BaseResponse].

Common situations: Misconfigured LLM for pandasai silently failing; empty or malformed train dataframes; prompts the pipeline's safety filters block; API changes in the pandasai version returning a different response shape.

Related errors

• Failed to parse JSON: {e!s}
• No valid content found in the conversion result
• No valid document content found after conversion
• Invalid CALL statement format
• Failed to execute some SQL queries: {', '.join(str(e) for e

AI-assisted analysis of zylon-ai/private-gpt@4a030776a3 (2026-08-15). Data as JSON: /api/errors/6d7179421c4e122f. Report an issue: GitHub.