BerriAI/litellm · error · Exception

PromptInjectionDetection: Model List not set. Required for P

Error message

PromptInjectionDetection: Model List not set. Required for Prompt Injection detection.

What it means

Error "PromptInjectionDetection: Model List not set. Required for Prompt Injection detection." thrown in BerriAI/litellm.

Source

Thrown at litellm/proxy/hooks/prompt_injection_detection.py:82

            "and begin afresh",
            "and start from scratch",
        ]

    def print_verbose(self, print_statement, level: Literal["INFO", "DEBUG"] = "DEBUG"):
        if level == "INFO":
            verbose_proxy_logger.info(print_statement)
        elif level == "DEBUG":
            verbose_proxy_logger.debug(print_statement)

        if litellm.set_verbose is True:
            print(print_statement)  # noqa: T201

    def update_environment(self, router: Router | None = None):
        self.llm_router = router

        if self.prompt_injection_params is not None and self.prompt_injection_params.llm_api_check is True:
            if self.llm_router is None:
                raise Exception(
                    "PromptInjectionDetection: Model List not set. Required for Prompt Injection detection."
                )

            self.print_verbose(
                f"model_names: {self.llm_router.model_names}; self.prompt_injection_params.llm_api_name: {self.prompt_injection_params.llm_api_name}"
            )
            if (
                self.prompt_injection_params.llm_api_name is None
                or self.prompt_injection_params.llm_api_name not in self.llm_router.model_names
            ):
                raise Exception(
                    "PromptInjectionDetection: Invalid LLM API Name. LLM API Name must be a 'model_name' in 'model_list'."
                )

    def generate_injection_keywords(self) -> list[str]:
        combinations: Final = []
        for verb in self.verbs:
            for adj in self.adjectives:

View on GitHub (pinned to 77b7c6c40c)

Solutions

1. Configure model_list on the proxy so the prompt injection detection model can be resolved.
2. Pass the router with a model list to the PromptInjectionDetection hook.

When it happens

Trigger: Thrown at litellm/proxy/hooks/prompt_injection_detection.py:82 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/9e18d2e021f6ec22. Report an issue: GitHub.