BerriAI/litellm · error · ValueError

video edit is not supported for {custom_llm_provider}

Error message

video edit is not supported for {custom_llm_provider}

What it means

Provider-support check in video edit: the provider decoded from video_id has no edit implementation, so editing that video through LiteLLM is not supported.

Source

Thrown at litellm/videos/main.py:1429

        mock_response = kwargs.get("mock_response", None)
        if mock_response is not None:
            if isinstance(mock_response, str):
                mock_response = json.loads(mock_response)
            return VideoObject(**mock_response)

        if custom_llm_provider is None:
            decoded: Final = decode_video_id_with_provider(video_id)
            custom_llm_provider = decoded.get("custom_llm_provider") or "openai"

        litellm_params: Final = GenericLiteLLMParams(**kwargs)

        provider_config: Final[BaseVideoConfig | None] = ProviderConfigManager.get_provider_video_config(
            model=None,
            provider=litellm.LlmProviders(custom_llm_provider),
        )

        if provider_config is None:
            raise ValueError(f"video edit is not supported for {custom_llm_provider}")

        local_vars.update(kwargs)
        request_params: Final[dict] = {"video_id": video_id, "prompt": prompt}

        litellm_logging_obj.update_environment_variables(
            model="",
            user=kwargs.get("user"),
            optional_params=dict(request_params),
            litellm_params={"litellm_call_id": litellm_call_id, **request_params},
            custom_llm_provider=custom_llm_provider,
        )

        litellm_logging_obj.call_type = CallTypes.video_edit.value

        return base_llm_http_handler.video_edit_handler(
            prompt=prompt,
            video_id=video_id,
            video_provider_config=provider_config,

View on GitHub (pinned to 77b7c6c40c)

Solutions

1. Use a provider that supports video editing, or implement it in a custom provider wrapper for {custom_llm_provider}.

When it happens

Trigger: Thrown at litellm/videos/main.py:1429 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of BerriAI/litellm@77b7c6c40c (2026-08-18). Data as JSON: /api/errors/425ca039605bfde9. Report an issue: GitHub.