mem0ai/mem0 · error · HTTPException

LLM provider '{provider}' is not bundled in this image. Bund

Error message

LLM provider '{provider}' is not bundled in this image. Bundled providers: {', '.join(BUNDLED_LLM_PROVIDERS)}. To use another provider, install its Python package, rebuild the container, and extend BUNDLED_LLM_PROVIDERS in server/main.py.

What it means

Error "LLM provider '{provider}' is not bundled in this image. Bundled providers: {', '.join(BUNDLED_LLM_PROVIDERS)}. To use another provider, install its Python package, rebuild the container, and extend BUNDLED_LLM_PROVIDERS in server/main.py." thrown in mem0ai/mem0.

Source

Thrown at server/main.py:235

    detail = str(exc)
    status_code = 404 if isinstance(exc, ValueError) and "not found" in detail.lower() else 400
    return HTTPException(status_code=status_code, detail=detail)


def _redact_config(value: Any, key: str | None = None) -> Any:
    if isinstance(value, dict):
        return {item_key: _redact_config(item_value, item_key) for item_key, item_value in value.items()}
    if isinstance(value, list):
        return [_redact_config(item_value, key) for item_value in value]
    if key is not None and key.lower() in SENSITIVE_CONFIG_KEYS:
        return "[redacted]" if value else value
    return value


def _validate_bundled_providers(config: Dict[str, Any]) -> None:
    llm = config.get("llm")
    if isinstance(llm, dict) and (provider := llm.get("provider")) and provider not in BUNDLED_LLM_PROVIDERS:
        raise HTTPException(
            status_code=400,
            detail=(
                f"LLM provider '{provider}' is not bundled in this image. "
                f"Bundled providers: {', '.join(BUNDLED_LLM_PROVIDERS)}. "
                "To use another provider, install its Python package, rebuild the container, "
                "and extend BUNDLED_LLM_PROVIDERS in server/main.py."
            ),
        )

    embedder = config.get("embedder")
    if (
        isinstance(embedder, dict)
        and (provider := embedder.get("provider"))
        and provider not in BUNDLED_EMBEDDER_PROVIDERS
    ):
        raise HTTPException(
            status_code=400,
            detail=(

View on GitHub (pinned to 001c235229)

Solutions

1. Choose one of the bundled LLM providers, or install the provider package, rebuild the container, and extend BUNDLED_LLM_PROVIDERS in server/main.py.

When it happens

Trigger: Thrown at server/main.py:235 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of mem0ai/mem0@001c235229 (2026-08-15). Data as JSON: /api/errors/e38e6ee0e326e6c9. Report an issue: GitHub.