diff --git a/docker/build_from_pip/Dockerfile.build_from_pip b/docker/build_from_pip/Dockerfile.build_from_pip index bda742c71a9..372606a5b0f 100644 --- a/docker/build_from_pip/Dockerfile.build_from_pip +++ b/docker/build_from_pip/Dockerfile.build_from_pip @@ -36,7 +36,7 @@ RUN uv venv --python python && \ "opentelemetry-api==1.28.0" \ "opentelemetry-sdk==1.28.0" \ "opentelemetry-exporter-otlp==1.28.0" \ - "ddtrace==2.19.0" \ + "ddtrace==4.11.0" \ "sentry-sdk==2.21.0" \ "mangum==0.17.0" \ "azure-ai-contentsafety==1.0.0" \ diff --git a/litellm/litellm_core_utils/dd_tracing.py b/litellm/litellm_core_utils/dd_tracing.py index ae4f46c38bd..3a1bd72e1a5 100644 --- a/litellm/litellm_core_utils/dd_tracing.py +++ b/litellm/litellm_core_utils/dd_tracing.py @@ -10,7 +10,7 @@ from litellm.secret_managers.main import get_secret_bool if TYPE_CHECKING: - from ddtrace.tracer import Tracer as DD_TRACER + from ddtrace.trace import Tracer as DD_TRACER else: DD_TRACER = Any diff --git a/litellm/litellm_core_utils/initialize_dynamic_callback_params.py b/litellm/litellm_core_utils/initialize_dynamic_callback_params.py index 949076aabf3..7e74bf5a579 100644 --- a/litellm/litellm_core_utils/initialize_dynamic_callback_params.py +++ b/litellm/litellm_core_utils/initialize_dynamic_callback_params.py @@ -1,7 +1,23 @@ -from typing import Dict, Optional +from typing import Any, Dict, Iterator, Optional from litellm.types.utils import StandardCallbackDynamicParams +_CLIENT_CALLBACK_METADATA_SLOTS: tuple[str, ...] = ("litellm_metadata", "metadata") + + +def iter_client_callback_metadata_dicts( + kwargs: dict[str, Any], +) -> Iterator[tuple[str, dict[str, Any]]]: + litellm_params = kwargs.get("litellm_params") + if isinstance(litellm_params, dict): + nested = litellm_params.get("metadata") + if isinstance(nested, dict): + yield "litellm_params.metadata", nested + for key in _CLIENT_CALLBACK_METADATA_SLOTS: + candidate = kwargs.get(key) + if isinstance(candidate, dict): + yield key, candidate + def _is_env_reference(value: object) -> bool: return isinstance(value, str) and "os.environ/" in value @@ -57,6 +73,7 @@ def validate_no_callback_env_reference( "dd_site", "dd_agent_host", "dd_agent_port", + "turn_off_message_logging", ] _request_blocked_callback_params = { @@ -91,20 +108,14 @@ def initialize_standard_callback_dynamic_params( ) standard_callback_dynamic_params[param] = _param_value # type: ignore - # 2. Fallback: check "metadata" or "litellm_params" -> "metadata" - metadata = (kwargs.get("metadata") or {}).copy() - litellm_params = kwargs.get("litellm_params") or {} - if isinstance(litellm_params, dict): - metadata.update(litellm_params.get("metadata") or {}) - - if isinstance(metadata, dict): + for slot_label, metadata in iter_client_callback_metadata_dicts(kwargs): for param in _supported_callback_params: if param in _request_blocked_callback_params: continue if param not in standard_callback_dynamic_params and param in metadata: _param_value = metadata.get(param) validate_no_callback_env_reference( - param, _param_value, source="metadata" + param, _param_value, source=slot_label ) standard_callback_dynamic_params[param] = _param_value # type: ignore diff --git a/litellm/litellm_core_utils/url_utils.py b/litellm/litellm_core_utils/url_utils.py index 38a78ee058f..36594996d02 100644 --- a/litellm/litellm_core_utils/url_utils.py +++ b/litellm/litellm_core_utils/url_utils.py @@ -148,6 +148,18 @@ def _parse_url_destination_allowlist_entry( return _normalize_host(parsed.hostname), scheme, port +def provider_url_destination_candidates(value: str) -> Tuple[str, ...]: + return tuple( + candidate + for part in value.split(",") + for candidate in ( + part.strip(), + part.strip().split("/", 1)[1] if "/" in part.strip() else "", + ) + if candidate + ) + + def is_url_destination_allowed_by_host(url: str, allowed_hosts: List[str]) -> bool: """Return True when a credential-bearing provider URL is admin-allowlisted. diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/interceptors/advisor.py b/litellm/llms/anthropic/experimental_pass_through/messages/interceptors/advisor.py index c7c110ff3e3..d302f1dedec 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/interceptors/advisor.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/interceptors/advisor.py @@ -17,7 +17,9 @@ import uuid from typing import Any, AsyncIterator, Dict, List, Optional, Union +import litellm import litellm.constants as _c +from litellm.litellm_core_utils.url_utils import validate_url from litellm.llms.anthropic.common_utils import strip_advisor_blocks_from_messages from litellm.types.llms.anthropic_messages.anthropic_response import ( AnthropicMessagesResponse, @@ -82,10 +84,7 @@ async def handle( max_uses: int = ( ADVISOR_MAX_USES if _raw_max_uses is None else int(_raw_max_uses) ) - # Optional routing overrides for the advisor sub-call (e.g. proxy routing). - # If not set in the tool definition, litellm resolves from env vars. - advisor_api_key: Optional[str] = advisor_tool.get("api_key") - advisor_api_base: Optional[str] = advisor_tool.get("api_base") + advisor_api_key, advisor_api_base = _resolve_advisor_credentials(advisor_tool) # Build the synthetic tool definition the provider will receive. synthetic_advisor_tool = _make_synthetic_advisor_tool() @@ -181,6 +180,67 @@ async def handle( # --------------------------------------------------------------------------- +def _allow_client_side_advisor_credentials() -> bool: + """Whether a caller-supplied advisor api_base/api_key may be honored. + + Gated on the proxy's ``allow_client_side_credentials`` opt-in. When the + interceptor runs outside the proxy (SDK use), there is no admin boundary + to protect, so client-supplied routing is allowed. + """ + try: + from litellm.proxy.proxy_server import general_settings + except (ImportError, ModuleNotFoundError): + return True + return general_settings.get("allow_client_side_credentials") is True + + +def _resolve_advisor_credentials( + advisor_tool: dict, +) -> tuple[Optional[str], Optional[str]]: + """Resolve the (api_key, api_base) override for the advisor sub-call. + + A caller-supplied ``api_base`` is only honored alongside a caller-supplied + ``api_key``: without one, ``AnthropicModelInfo.get_auth_header()`` falls + back to the proxy's own Anthropic credentials, which would then be sent to + the caller-chosen ``api_base``. A caller-supplied ``api_base`` is also + required to be https with TLS verification on, and SSRF-validated so it + can't target a private/internal/cloud-metadata address, mirroring + ``proxy.auth.auth_utils.check_complete_credentials``. https with TLS + verification is required because ``validate_url`` only rewrites the + connection to a DNS-pinned IP for http, or for https with + ``litellm.ssl_verify`` disabled; otherwise it returns the URL unchanged + and relies on certificate validation to block DNS rebinding, so this + closes the same gap without threading the pinned URL through the whole + ``anthropic_messages()`` call chain. + """ + if not _allow_client_side_advisor_credentials(): + return None, None + api_key: Optional[str] = advisor_tool.get("api_key") + api_base: Optional[str] = advisor_tool.get("api_base") + if api_base is None: + return api_key, None + if not api_key: + raise ValueError( + "advisor tool definition sets 'api_base' without 'api_key'. A " + "caller-supplied api_base is only honored alongside a " + "caller-supplied api_key, so the proxy's own credentials are " + "never sent to a caller-chosen destination." + ) + if not api_base.startswith("https://"): + raise ValueError( + f"advisor tool definition sets 'api_base'={api_base!r}, which must use the https scheme." + ) + if getattr(litellm, "ssl_verify", True) is False: + raise ValueError( + "advisor tool definition sets 'api_base' but the proxy has TLS verification " + "disabled (litellm.ssl_verify=False), so a caller-supplied api_base can't be " + "safely validated against DNS rebinding." + ) + if getattr(litellm, "user_url_validation", True): + validate_url(api_base) + return api_key, api_base + + def _make_synthetic_advisor_tool() -> Dict: """Build a regular tool definition the executor provider can understand.""" return { diff --git a/litellm/llms/bedrock/base_aws_llm.py b/litellm/llms/bedrock/base_aws_llm.py index b1b06829387..3657fd2438a 100644 --- a/litellm/llms/bedrock/base_aws_llm.py +++ b/litellm/llms/bedrock/base_aws_llm.py @@ -10,7 +10,6 @@ Callable, ClassVar, Dict, - List, Literal, Optional, Tuple, @@ -210,32 +209,11 @@ def get_credentials( """ Return a boto3.Credentials object """ - ## CHECK IS 'os.environ/' passed in - params_to_check: List[Optional[str]] = [ - aws_access_key_id, - aws_secret_access_key, - aws_session_token, - aws_region_name, - aws_session_name, - aws_profile_name, - aws_role_name, - aws_web_identity_token, - aws_sts_endpoint, - aws_external_id, - ] - - # Iterate over parameters and update if needed - for i, param in enumerate(params_to_check): - if param and param.startswith("os.environ/"): - _v = get_secret(param) - if _v is not None and isinstance(_v, str): - params_to_check[i] = _v - elif param is None: # check if uppercase value in env - key = self.aws_authentication_params[i] - if key.upper() in os.environ: - params_to_check[i] = os.getenv(key.upper()) - - # Assign updated values back to parameters + # Only config-sourced credentials are expanded against the environment. + # os.environ/ references in the model config are resolved at load time, + # so any reference still present at this point is caller-supplied input and is + # left as-is rather than expanded into a process environment variable. Each + # unset param falls back to its matching fixed AWS_* ambient env var. ( aws_access_key_id, aws_secret_access_key, @@ -247,7 +225,21 @@ def get_credentials( aws_web_identity_token, aws_sts_endpoint, aws_external_id, - ) = params_to_check + ) = tuple( + value if value is not None else os.getenv(env_var) + for value, env_var in ( + (aws_access_key_id, "AWS_ACCESS_KEY_ID"), + (aws_secret_access_key, "AWS_SECRET_ACCESS_KEY"), + (aws_session_token, "AWS_SESSION_TOKEN"), + (aws_region_name, "AWS_REGION_NAME"), + (aws_session_name, "AWS_SESSION_NAME"), + (aws_profile_name, "AWS_PROFILE_NAME"), + (aws_role_name, "AWS_ROLE_NAME"), + (aws_web_identity_token, "AWS_WEB_IDENTITY_TOKEN"), + (aws_sts_endpoint, "AWS_STS_ENDPOINT"), + (aws_external_id, "AWS_EXTERNAL_ID"), + ) + ) verbose_logger.debug( "in get credentials\n" @@ -845,6 +837,20 @@ def _auth_with_web_identity_token( f"IN Web Identity Token: {aws_web_identity_token} | Role Name: {aws_role_name} | Session Name: {aws_session_name}" ) + # get_secret() expands environment-variable references (an os.environ/ + # prefix, or a bare name matching an environment variable). Config-sourced + # references are expanded at load time, so such a reference reaching here is + # caller-supplied input; reject it rather than expanding a process-environment + # value for use as the token. + if ( + aws_web_identity_token.startswith("os.environ/") + or aws_web_identity_token in os.environ + ): + raise AwsAuthError( + message="Invalid web identity token reference.", + status_code=400, + ) + oidc_token = get_secret(aws_web_identity_token) if oidc_token is None: diff --git a/litellm/llms/huggingface/embedding/handler.py b/litellm/llms/huggingface/embedding/handler.py index 6be885b1f91..5376e643a94 100644 --- a/litellm/llms/huggingface/embedding/handler.py +++ b/litellm/llms/huggingface/embedding/handler.py @@ -348,7 +348,7 @@ def embedding( ) # print_verbose(f"{model}, {task}") embed_url = "" - if "https" in model: + if model.startswith(("http://", "https://")): embed_url = model elif api_base: embed_url = api_base diff --git a/litellm/llms/huggingface/embedding/transformation.py b/litellm/llms/huggingface/embedding/transformation.py index 88d42cfcdcc..db15d77ace7 100644 --- a/litellm/llms/huggingface/embedding/transformation.py +++ b/litellm/llms/huggingface/embedding/transformation.py @@ -330,25 +330,6 @@ def transform_request( return data - def get_api_base(self, api_base: Optional[str], model: str) -> str: - """ - Get the API base for the Huggingface API. - - Do not add the chat/embedding/rerank extension here. Let the handler do this. - """ - if "https" in model: - completion_url = model - elif api_base is not None: - completion_url = api_base - elif "HF_API_BASE" in os.environ: - completion_url = os.getenv("HF_API_BASE", "") - elif "HUGGINGFACE_API_BASE" in os.environ: - completion_url = os.getenv("HUGGINGFACE_API_BASE", "") - else: - completion_url = f"https://api-inference.huggingface.co/models/{model}" - - return completion_url - def validate_environment( self, headers: Dict, diff --git a/litellm/llms/oobabooga/chat/oobabooga.py b/litellm/llms/oobabooga/chat/oobabooga.py index 5eb68a03d4b..f6392260d19 100644 --- a/litellm/llms/oobabooga/chat/oobabooga.py +++ b/litellm/llms/oobabooga/chat/oobabooga.py @@ -34,7 +34,7 @@ def completion( optional_params=optional_params, litellm_params=litellm_params, ) - if "https" in model: + if model.startswith(("http://", "https://")): completion_url = model elif api_base: completion_url = api_base @@ -96,7 +96,7 @@ def embedding( encoding=None, ): # Create completion URL - if "https" in model: + if model.startswith(("http://", "https://")): embeddings_url = model elif api_base: embeddings_url = f"{api_base}/v1/embeddings" diff --git a/litellm/proxy/auth/auth_utils.py b/litellm/proxy/auth/auth_utils.py index 71cf5197dec..1f78d7844ba 100644 --- a/litellm/proxy/auth/auth_utils.py +++ b/litellm/proxy/auth/auth_utils.py @@ -2,7 +2,7 @@ import re import sys from functools import lru_cache -from typing import Any, Dict, FrozenSet, List, Mapping, Optional, Tuple, Union +from typing import Any, Dict, FrozenSet, Iterator, List, Mapping, Optional, Tuple, Union from fastapi import HTTPException, Request, status @@ -11,8 +11,14 @@ from litellm._logging import verbose_proxy_logger from litellm.constants import STANDARD_CUSTOMER_ID_HEADERS from litellm.litellm_core_utils.safe_json_loads import safe_json_loads -from litellm.litellm_core_utils.url_utils import SSRFError, validate_url +from litellm.litellm_core_utils.url_utils import ( + SSRFError, + is_url_destination_allowed_by_host, + provider_url_destination_candidates, + validate_url, +) from litellm.proxy._types import * +from litellm.proxy.common_utils.http_parsing_utils import extract_nested_form_metadata from litellm.types.router import CONFIGURABLE_CLIENTSIDE_AUTH_PARAMS from litellm.types.utils import CustomPricingLiteLLMParams @@ -279,6 +285,9 @@ def _build_banned_observability_params() -> FrozenSet[str]: "s3_endpoint_url", "sagemaker_base_url", "deployment_url", + # SDK-only field; also rejected outright in is_request_body_safe. + "model_list", + "vertex_ai_credentials", # Observability credentials, hosts, and project identifiers: derived # from the canonical ``_supported_callback_params`` allowlist so new # integrations are covered automatically. Sorted for stable iteration @@ -331,6 +340,66 @@ def _check_banned_params( ) +_FALLBACK_FIELDS: tuple[str, ...] = ( + "fallbacks", + "context_window_fallbacks", + "content_policy_fallbacks", +) + + +def _iter_fallback_field_values(request_body: Mapping[str, object]) -> Iterator[object]: + override = request_body.get("router_settings_override") + for source in (request_body, override): + if isinstance(source, Mapping): + for field in _FALLBACK_FIELDS: + yield source.get(field) + + +def _iter_fallback_targets( + value: object, depth: int +) -> Iterator[str | Mapping[str, object]]: + if depth > 2 * litellm.ROUTER_MAX_FALLBACKS: + raise ValueError( + "Rejected Request: fallback nesting exceeds the allowed validation depth." + ) + if not isinstance(value, list): + return + for item in value: + if isinstance(item, str): + yield item + elif isinstance(item, Mapping): + values = tuple(item.values()) + if not (values and all(isinstance(v, list) for v in values)): + yield item + if isinstance(item.get("model"), str): + for field in _FALLBACK_FIELDS: + yield from _iter_fallback_targets(item.get(field), depth + 1) + else: + for target_list in values: + yield from _iter_fallback_targets(target_list, depth + 1) + + +def iter_request_fallback_targets( + request_body: Mapping[str, object], +) -> Iterator[str | Mapping[str, object]]: + for value in _iter_fallback_field_values(request_body): + yield from _iter_fallback_targets(value, 0) + + +def _reject_url_valued_fallback_target(value: str) -> None: + allowed_hosts = getattr(litellm, "provider_url_destination_allowed_hosts", []) or [] + for candidate in provider_url_destination_candidates(value): + if not candidate.lower().startswith(("http://", "https://")): + continue + if is_url_destination_allowed_by_host(candidate, allowed_hosts): + continue + raise ValueError( + f"Rejected Request: URL-valued fallback destination '{value}' is not allowed. " + "Configure custom endpoints with api_base instead, or add the destination host to " + "`provider_url_destination_allowed_hosts` in litellm_settings." + ) + + def is_request_body_safe( request_body: dict, general_settings: dict, llm_router: Optional[Router], model: str ) -> bool: @@ -359,6 +428,10 @@ def is_request_body_safe( ``litellm_embedding_config.api_base`` (VERIA-6) without exposing a recursion-depth DoS surface. """ + if "model_list" in request_body: + raise ValueError( + "Rejected Request: model_list is not allowed in the request body." + ) _check_banned_params(request_body, general_settings, llm_router, model) for nested_key in _NESTED_CONFIG_KEYS: nested = _coerce_metadata_to_dict(request_body.get(nested_key)) @@ -368,6 +441,38 @@ def is_request_body_safe( metadata = _coerce_metadata_to_dict(request_body.get(metadata_key)) if metadata is not None: _check_banned_params(metadata, general_settings, llm_router, model) + if any( + isinstance(key, str) and key.startswith(f"{metadata_key}[") + for key in request_body + ): + _check_banned_params( + extract_nested_form_metadata( + form_data=request_body, prefix=f"{metadata_key}[" + ), + general_settings, + llm_router, + model, + ) + for target in iter_request_fallback_targets(request_body): + if isinstance(target, dict): + _check_banned_params(target, general_settings, llm_router, model) + target_model = target.get("model") + if isinstance(target_model, str): + _reject_url_valued_fallback_target(target_model) + elif isinstance(target, str): + _reject_url_valued_fallback_target(target) + litellm_params = _coerce_metadata_to_dict(request_body.get("litellm_params")) + if litellm_params is not None: + litellm_params_metadata = _coerce_metadata_to_dict( + litellm_params.get("metadata") + ) + if litellm_params_metadata is not None: + _check_banned_params( + litellm_params_metadata, + general_settings, + llm_router, + model, + ) return True diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index a62e74003a5..d71d9f6cd92 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -12,7 +12,7 @@ import re import secrets from datetime import datetime, timezone -from typing import Any, Dict, Iterator, NamedTuple, List, Optional, Tuple, Union, cast +from typing import Any, Dict, NamedTuple, List, Optional, Tuple, Union, cast import fastapi from fastapi import HTTPException, Request, WebSocket, status @@ -56,6 +56,7 @@ get_model_from_request, get_request_route, get_request_route_template, + iter_request_fallback_targets, normalize_request_route, pre_db_read_auth_checks, route_in_additonal_public_routes, @@ -2819,23 +2820,11 @@ async def _enforce_key_and_fallback_model_access( llm_router=llm_router, ) - # Validate every fallback model name reachable by this request. - # All three fields (``fallbacks``, ``context_window_fallbacks``, - # ``content_policy_fallbacks``) are forwarded to the router as - # per-request kwargs whether they appear at the top level of - # ``request_data`` or nested under ``router_settings_override``. - # Both surfaces must be validated against the API key's model - # allowlist or a caller can smuggle a restricted model. VERIA-44. - fallback_names: List[str] = [] - override_settings = request_data.get("router_settings_override") - for _fb_key in ROUTER_FALLBACK_FIELDS: - fallback_names.extend( - iter_router_fallback_model_names(request_data.get(_fb_key)) - ) - if isinstance(override_settings, dict): - fallback_names.extend( - iter_router_fallback_model_names(override_settings.get(_fb_key)) - ) + fallback_names = tuple( + name + for target in iter_request_fallback_targets(request_data) + if (name := _fallback_target_model_name(target)) is not None + ) for _name in dict.fromkeys(fallback_names): # dedupe, preserve order await can_key_call_model( @@ -2851,36 +2840,14 @@ async def _enforce_key_and_fallback_model_access( ) -ROUTER_FALLBACK_FIELDS: Tuple[str, ...] = ( - "fallbacks", - "context_window_fallbacks", - "content_policy_fallbacks", -) - - -def iter_router_fallback_model_names(fallbacks: Any) -> Iterator[str]: - """Yield leaf model names from any of the supported fallbacks shapes. - - Handles the simple top-level shape (``str`` or ``{"model": str}``) and - the nested router-config shape (``[{primary: [fallback_list]}]``). - """ - if not isinstance(fallbacks, list): - return - for entry in fallbacks: - if isinstance(entry, str): - yield entry - elif isinstance(entry, dict): - if isinstance(entry.get("model"), str): - yield entry["model"] - continue - for fallback_list in entry.values(): - if not isinstance(fallback_list, list): - continue - for m in fallback_list: - if isinstance(m, str): - yield m - elif isinstance(m, dict) and isinstance(m.get("model"), str): - yield m["model"] +def _fallback_target_model_name(target: object) -> str | None: + if isinstance(target, str): + return target + if isinstance(target, dict): + model = target.get("model") + if isinstance(model, str): + return model + return None async def _run_post_custom_auth_checks( diff --git a/litellm/proxy/common_request_processing.py b/litellm/proxy/common_request_processing.py index 6020d528515..446f1b9d3d3 100644 --- a/litellm/proxy/common_request_processing.py +++ b/litellm/proxy/common_request_processing.py @@ -62,7 +62,10 @@ ProxyConfig = _ProxyConfig else: ProxyConfig = Any -from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request +from litellm.proxy.litellm_pre_call_utils import ( + add_litellm_data_to_request, + reject_url_valued_destination, +) from litellm.types.utils import ModelResponse, ModelResponseStream, Usage # Datadog streaming spans are a no-op when ddtrace is not enabled, but the @@ -895,6 +898,9 @@ async def common_processing_pre_call_logic( "queue_time_seconds" ] = queue_time_seconds + if isinstance(model, str): + reject_url_valued_destination("model", model) + self.data["model"] = ( general_settings.get("completion_model", None) # server default or user_model # model name passed via cli args diff --git a/litellm/proxy/health_endpoints/_health_endpoints.py b/litellm/proxy/health_endpoints/_health_endpoints.py index c109f374993..0bd4726cb1d 100644 --- a/litellm/proxy/health_endpoints/_health_endpoints.py +++ b/litellm/proxy/health_endpoints/_health_endpoints.py @@ -6,7 +6,7 @@ import time import traceback from datetime import datetime, timedelta -from typing import Any, Dict, Iterable, Literal, Optional, Union, cast +from typing import Any, Dict, Final, Iterable, Literal, Mapping, Optional, Union, cast import fastapi from fastapi import APIRouter, Depends, HTTPException, Request, Response, status @@ -27,6 +27,9 @@ UserAPIKeyAuth, WebhookEvent, ) +from litellm.proxy.auth.auth_utils import ( + _BANNED_REQUEST_BODY_PARAMS, # pyright: ignore[reportPrivateUsage] # one canonical list, shared with the request-body check +) from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.db.exception_handler import PrismaDBExceptionHandler from litellm.proxy.health_check import ( @@ -41,6 +44,10 @@ get_in_flight_requests, ) from litellm.proxy.shutdown.graceful_shutdown_manager import GracefulShutdownManager +from litellm.router_utils.clientside_credential_handler import ( + _ADMIN_CONFIG_FIELDS_TO_CLEAR_ON_BASE_OVERRIDE, # pyright: ignore[reportPrivateUsage] # one canonical list, shared with the router path + clientside_credential_keys, +) #### Health ENDPOINTS #### @@ -80,6 +87,49 @@ def _reject_os_environ_references(params: dict) -> None: stack.append(value) +_CONFIG_CONNECTION_FIELDS: Final[frozenset[str]] = frozenset( + ( + *_ADMIN_CONFIG_FIELDS_TO_CLEAR_ON_BASE_OVERRIDE, + *clientside_credential_keys, + "litellm_credential_name", + ) +) + + +def _config_base_for_health_check( + config_params: Mapping[str, object], + request_params: Mapping[str, object], + allow_client_side_credentials: bool = False, +) -> dict[str, object]: + """Return the configured parameters to merge under a connection-test request. + + A request that sets its own connection fields describes a connection of its + own, so the configuration's credentials are not carried into it: they belong + to the endpoint the configuration names. Anything the request does not set + still comes from the configuration, which is what lets a request name a + configured model and test it as configured. + + ``litellm_credential_name`` is dropped alongside the literal credential + fields: it names a stored credential that ``load_credentials_from_list`` + resolves into the same secrets further down the call, so leaving it in place + would reintroduce them by reference. + + ``general_settings.allow_client_side_credentials`` is the existing proxy-wide + opt-in for callers supplying their own connection parameters. Where an admin + has enabled it, a request may pair its own endpoint with the configured + credentials, as it could before. + """ + if allow_client_side_credentials: + return dict(config_params) + if not any(param in request_params for param in _BANNED_REQUEST_BODY_PARAMS): + return dict(config_params) + return { + key: value + for key, value in config_params.items() + if key not in _CONFIG_CONNECTION_FIELDS + } + + def get_callback_identifier(callback): """ Get the callback identifier string, handling both strings and objects. @@ -1854,7 +1904,12 @@ async def test_model_connection( from litellm.proxy.management_endpoints.model_management_endpoints import ( ModelManagementAuthChecks, ) - from litellm.proxy.proxy_server import llm_router, premium_user, prisma_client + from litellm.proxy.proxy_server import ( + general_settings, + llm_router, + premium_user, + prisma_client, + ) from litellm.types.router import Deployment, LiteLLM_Params try: @@ -1930,8 +1985,17 @@ async def test_model_connection( ) # Merge: config params (from proxy config) as base, request params override - # This allows users to override specific params while using config for credentials - litellm_params = {**config_litellm_params, **request_litellm_params} + litellm_params = { + **_config_base_for_health_check( + config_litellm_params, + request_litellm_params, + allow_client_side_credentials=general_settings.get( + "allow_client_side_credentials" + ) + is True, + ), + **request_litellm_params, + } ## Auth check await ModelManagementAuthChecks.can_user_make_model_call( diff --git a/litellm/proxy/image_endpoints/endpoints.py b/litellm/proxy/image_endpoints/endpoints.py index fe8b7c6fdc9..5f49d810ac4 100644 --- a/litellm/proxy/image_endpoints/endpoints.py +++ b/litellm/proxy/image_endpoints/endpoints.py @@ -70,6 +70,7 @@ async def image_generation( user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), model: Optional[str] = None, ): + from litellm.proxy.litellm_pre_call_utils import reject_url_valued_destination from litellm.proxy.proxy_server import ( add_litellm_data_to_request, general_settings, @@ -96,6 +97,9 @@ async def image_generation( proxy_config=proxy_config, ) + if isinstance(model, str): + reject_url_valued_destination("model", model) + data["model"] = ( model or general_settings.get("image_generation_model", None) # server default diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index 22657f6250c..1cb0292c225 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -4,7 +4,7 @@ import re import time from collections import OrderedDict -from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union +from typing import TYPE_CHECKING, Any, Dict, Final, List, Optional, Union from fastapi import HTTPException, Request from pydantic import ValidationError as PydanticValidationError @@ -15,8 +15,14 @@ from litellm._service_logger import ServiceLogging from litellm.constants import PRE_CALL_EXECUTED_GUARDRAILS_KEY from litellm.litellm_core_utils.credential_accessor import CredentialAccessor +from litellm.litellm_core_utils.initialize_dynamic_callback_params import ( + iter_client_callback_metadata_dicts, +) from litellm.litellm_core_utils.safe_json_loads import safe_json_loads -from litellm.litellm_core_utils.url_utils import is_url_destination_allowed_by_host +from litellm.litellm_core_utils.url_utils import ( + is_url_destination_allowed_by_host, + provider_url_destination_candidates, +) from litellm.proxy._types import ( AddTeamCallback, CommonProxyErrors, @@ -208,12 +214,25 @@ def _reject_url_valued_destinations(data: Dict[str, Any]) -> None: are unaffected, while admins can opt specific hosts back in via ``litellm.provider_url_destination_allowed_hosts``. """ - allowed_hosts = getattr(litellm, "provider_url_destination_allowed_hosts", []) or [] for field in _URL_DESTINATION_REQUEST_FIELDS: value = data.get(field) - if not isinstance(value, str) or not value.startswith(("http://", "https://")): + if isinstance(value, str): + reject_url_valued_destination(field, value) + + +def reject_url_valued_destination(field: str, value: str) -> None: + """Reject a URL-valued destination identifier unless admin-allowlisted. + + Operates on one field/value pair. ``_reject_url_valued_destinations`` applies + it across ``_URL_DESTINATION_REQUEST_FIELDS`` for a request body. + """ + allowed_hosts: Final = ( + getattr(litellm, "provider_url_destination_allowed_hosts", []) or [] + ) + for candidate in provider_url_destination_candidates(value): + if not candidate.lower().startswith(("http://", "https://")): continue - if is_url_destination_allowed_by_host(value, allowed_hosts): + if is_url_destination_allowed_by_host(candidate, allowed_hosts): continue raise HTTPException( status_code=400, @@ -296,6 +315,28 @@ def _key_or_team_allows_client_pricing_override( ) +def _strip_client_message_redaction_opt_out(data: dict[str, Any]) -> None: + stripped: list[str] = [] + if "turn_off_message_logging" in data and _is_false_like( + data["turn_off_message_logging"] + ): + stripped.append("turn_off_message_logging") + data.pop("turn_off_message_logging", None) + for slot_label, metadata in iter_client_callback_metadata_dicts(data): + if "turn_off_message_logging" in metadata and _is_false_like( + metadata["turn_off_message_logging"] + ): + stripped.append(f"{slot_label}.turn_off_message_logging") + metadata.pop("turn_off_message_logging", None) + if stripped: + verbose_proxy_logger.debug( + "Stripped client-supplied message-redaction opt-out fields from request body: %s. " + "Set `allow_client_message_redaction_opt_out: true` on the key or team metadata " + "to keep these values.", + ", ".join(stripped), + ) + + def _strip_client_pricing_overrides(data: Dict[str, Any]) -> None: """Drop pricing overrides from the request body and any metadata variant. @@ -1374,13 +1415,6 @@ async def add_litellm_data_to_request( # noqa: PLR0915 _headers, allow_client_message_redaction_opt_out=_allow_client_message_redaction_opt_out, ) - if ( - not _allow_client_message_redaction_opt_out - and litellm.turn_off_message_logging is True - and "turn_off_message_logging" in data - and _is_false_like(data["turn_off_message_logging"]) - ): - data.pop("turn_off_message_logging", None) verbose_proxy_logger.debug(f"Request Headers: {_headers}") verbose_proxy_logger.debug(f"Raw Headers: {_raw_headers}") @@ -1540,6 +1574,12 @@ async def add_litellm_data_to_request( # noqa: PLR0915 if not _key_or_team_allows_client_pricing_override(user_api_key_dict): _strip_client_pricing_overrides(data) + if ( + not _allow_client_message_redaction_opt_out + and litellm.turn_off_message_logging is True + ): + _strip_client_message_redaction_opt_out(data) + # Fill in the proxy_server_request body snapshot now that metadata has # been parsed. Consumers (standard_logging_payload, lago, # spend_tracking_utils, streaming_iterator) read `body` to audit the diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 3f7ec4d74fa..230fc7cdc26 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -4958,6 +4958,19 @@ async def _delete_deployment(self, db_models: list) -> int: deleted_deployments += 1 return deleted_deployments + def _resolve_db_litellm_param(self, key: str, value: object) -> object: + if not isinstance(value, str): + return value + + decrypted_value = decrypt_value_helper( + value=value, key=key, return_original_value=True + ) + if isinstance(decrypted_value, str) and decrypted_value.startswith( + "os.environ/" + ): + return get_secret(decrypted_value) + return decrypted_value + def _add_deployment(self, db_models: list) -> int: """ Iterate through db models @@ -4978,12 +4991,7 @@ def _add_deployment(self, db_models: list) -> int: if isinstance(_litellm_params, dict): # decrypt values for k, v in _litellm_params.items(): - if isinstance(v, str): - # decrypt value - returns original value if decryption fails or no key is set - _value = decrypt_value_helper( - value=v, key=k, return_original_value=True - ) - _litellm_params[k] = _value + _litellm_params[k] = self._resolve_db_litellm_param(key=k, value=v) _litellm_params = LiteLLM_Params(**_litellm_params) else: @@ -5016,10 +5024,7 @@ def decrypt_model_list_from_db(self, new_models: list) -> list: if isinstance(_litellm_params, dict): # decrypt values for k, v in _litellm_params.items(): - decrypted_value = decrypt_value_helper( - value=v, key=k, return_original_value=True - ) - _litellm_params[k] = decrypted_value + _litellm_params[k] = self._resolve_db_litellm_param(key=k, value=v) _litellm_params = LiteLLM_Params(**_litellm_params) else: verbose_proxy_logger.error( diff --git a/pyproject.toml b/pyproject.toml index 051186e1aa5..30712254518 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "litellm" -version = "1.89.6" +version = "1.89.7" description = "Library to easily interface with LLM API providers" readme = "README.md" requires-python = ">=3.10, <3.14" @@ -23,7 +23,7 @@ dependencies = [ "tokenizers>=0.21.0,<1.0", "click>=8.0.0,<9.0", "jinja2>=3.1.6,<4.0", - "aiohttp>=3.10,<4.0", + "aiohttp>=3.14.2,<4.0", "pydantic>=2.10.0,<3.0.0", "jsonschema>=4.0.0,<5.0", ] @@ -55,7 +55,7 @@ proxy = [ "fastapi-sso>=0.19.0,<1.0", "PyJWT>=2.12.0,<3.0", "python-multipart>=0.0.27,<1.0", - "cryptography>=48.0.1,<49.0", + "cryptography>=50.0.0,<51.0", "pynacl>=1.6.2,<2.0", "websockets>=15.0.1,<16.0", "boto3>=1.43.1,<2.0", @@ -120,7 +120,7 @@ proxy-runtime = [ "opentelemetry-sdk==1.28.0", "opentelemetry-exporter-otlp==1.28.0", "opentelemetry-instrumentation-fastapi==0.49b0", - "ddtrace>=2.19.0,<3.0", + "ddtrace>=4.8.2,<5.0", "sentry-sdk>=2.21.0,<3.0", "mangum>=0.17.0,<1.0", "azure-ai-contentsafety>=1.0.0,<2.0", @@ -190,7 +190,7 @@ ci = [ # protobuf, Pillow is a compiled C extension). "tenacity==8.5.0", "google-generativeai==0.8.6", - "Pillow==12.2.0", + "Pillow==12.3.0", # Azure batch E2E tests still import psycopg2 directly. "psycopg2-binary==2.9.11", "pytest-codspeed==4.3.0", @@ -230,7 +230,10 @@ build-backend = "uv_build" [tool.uv] constraint-dependencies = [ "tornado>=6.5.6", - "aiohttp>=3.14.1,<4.0", + "aiohttp>=3.14.2,<4.0", +] +override-dependencies = [ + "cryptography>=50.0.0,<51.0", ] default-groups = ["dev"] required-version = ">=0.10.9" @@ -261,7 +264,7 @@ source-exclude = [ profile = "black" [tool.commitizen] -version = "1.89.6" +version = "1.89.7" version_files = [ "pyproject.toml:^version", ] diff --git a/ruff.toml b/ruff.toml index 6c854b7ad03..a5371124667 100644 --- a/ruff.toml +++ b/ruff.toml @@ -14,6 +14,7 @@ exclude = ["litellm/types/*", "litellm/__init__.py", "litellm/proxy/example_conf "litellm/llms/azure_ai/rerank/__init__.py" = ["F401"] "litellm/llms/bedrock/chat/__init__.py" = ["F401"] "litellm/proxy/utils.py" = ["F401", "PLR0915"] +"litellm/proxy/common_request_processing.py" = ["PLR0915"] "litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py" = ["PLR0915"] "litellm/proxy/guardrails/guardrail_hooks/guardrail_benchmarks/test_eval.py" = ["PLR0915"] "litellm/responses/streaming_iterator.py" = ["PLR0915"] diff --git a/tests/code_coverage_tests/recursive_detector.py b/tests/code_coverage_tests/recursive_detector.py index 254d700ee5a..1c38a1bf835 100644 --- a/tests/code_coverage_tests/recursive_detector.py +++ b/tests/code_coverage_tests/recursive_detector.py @@ -50,6 +50,7 @@ "_resolve", # OCI: $ref resolver bounded by `resolving_stack` cycle guard. "resolve_oci_schema_anyof", # OCI: bounded by JSON-schema tree depth (no cycles possible in well-formed input). "sanitize_oci_schema", # OCI: bounded by JSON-schema tree depth. + "_iter_fallback_targets", # max depth set (2 * ROUTER_MAX_FALLBACKS); fails closed by raising ValueError at the cap. ] diff --git a/tests/local_testing/test_basic_python_version.py b/tests/local_testing/test_basic_python_version.py index 8308e0d6033..46ebe49705c 100644 --- a/tests/local_testing/test_basic_python_version.py +++ b/tests/local_testing/test_basic_python_version.py @@ -92,6 +92,77 @@ def test_package_dependencies(): ) +AIOHTTP_POOL_POISONING_RANGE = ">=3.14.0,<3.14.2" +AIOHTTP_POOL_POISONING_RELEASES = ("3.14.0", "3.14.1") + + +def _load_toml(path): + try: + import tomllib as tomli + except ImportError: + try: + import tomli + except ImportError: + pytest.skip("tomli/tomllib not available - skipping dependency check") + + with open(path, "rb") as f: + return tomli.load(f) + + +def _declared_aiohttp_specifier(): + from packaging.requirements import Requirement + + pyproject = _load_toml(os.path.join(PROJECT_ROOT, "pyproject.toml")) + for requirement in pyproject["project"]["dependencies"]: + parsed = Requirement(requirement) + if parsed.name.lower() == "aiohttp": + return parsed.specifier + pytest.fail("aiohttp is no longer a declared runtime dependency of litellm") + + +def _locked_aiohttp_version(): + lock = _load_toml(os.path.join(PROJECT_ROOT, "uv.lock")) + for package in lock["package"]: + if package["name"].lower() == "aiohttp": + return package["version"] + pytest.fail("aiohttp is missing from uv.lock") + + +def test_declared_aiohttp_floor_excludes_pool_poisoning_releases(): + """aiohttp 3.14.0/3.14.1 re-arm the sock_read timer on a keep-alive connection + after it is back in the idle pool, so the next request to reuse it fails + instantly with a bogus timeout (aio-libs/aiohttp#12953, fixed in 3.14.2). + + The wheel's own metadata is what pip resolves against, so the floor declared + here - not just the lockfile - has to exclude that range. + """ + specifier = _declared_aiohttp_specifier() + + admitted = [v for v in AIOHTTP_POOL_POISONING_RELEASES if specifier.contains(v)] + assert not admitted, ( + f"litellm declares aiohttp{specifier}, which still admits {admitted}. " + "Those releases poison pooled keep-alive connections and cause " + "cross-provider sub-millisecond 'Connection timed out' failures; " + "keep the floor at >=3.14.2." + ) + + +def test_locked_aiohttp_version_is_not_pool_poisoning(): + """uv.lock is what the published Docker images install (uv sync --frozen), so a + lock that drifts back onto 3.14.0/3.14.1 ships the regression regardless of + what pyproject.toml declares. + """ + from packaging.specifiers import SpecifierSet + + locked = _locked_aiohttp_version() + + assert not SpecifierSet(AIOHTTP_POOL_POISONING_RANGE).contains(locked), ( + f"uv.lock resolves aiohttp {locked}, which is inside the pool-poisoning " + f"range {AIOHTTP_POOL_POISONING_RANGE} (aio-libs/aiohttp#12953). " + "Re-run `uv lock` against an aiohttp>=3.14.2 floor." + ) + + import os import subprocess import time diff --git a/tests/logging_callback_tests/test_logging_redaction_e2e_test.py b/tests/logging_callback_tests/test_logging_redaction_e2e_test.py index 3f4b446bea5..891e5020f37 100644 --- a/tests/logging_callback_tests/test_logging_redaction_e2e_test.py +++ b/tests/logging_callback_tests/test_logging_redaction_e2e_test.py @@ -56,69 +56,56 @@ async def test_global_redaction_on(): ) -@pytest.mark.parametrize("turn_off_message_logging", [True, False]) +@pytest.mark.parametrize( + "dynamic_turn_off, expect_redacted", + [(True, True), (False, False)], +) @pytest.mark.asyncio -async def test_global_redaction_ignores_dynamic_param(turn_off_message_logging): - """ - Request-body `turn_off_message_logging` is no longer honored as a dynamic - callback param — global setting (or admin-configured key/team config) wins. - With global redaction ON, the caller cannot disable redaction via the - request body. - """ +async def test_dynamic_turn_off_message_logging_overrides_global_on(dynamic_turn_off, expect_redacted): litellm.turn_off_message_logging = True test_custom_logger = TestCustomLogger() litellm.callbacks = [test_custom_logger] - response = await litellm.acompletion( + await litellm.acompletion( model="gpt-5-mini", messages=[{"role": "user", "content": "hi"}], - turn_off_message_logging=turn_off_message_logging, + turn_off_message_logging=dynamic_turn_off, mock_response="hello", ) await asyncio.sleep(1) standard_logging_payload = test_custom_logger.logged_standard_logging_payload assert standard_logging_payload is not None - print( - "logged standard logging payload", - json.dumps(standard_logging_payload, indent=2), - ) - response = standard_logging_payload["response"] - assert response["choices"][0]["message"]["content"] == "redacted-by-litellm" - assert standard_logging_payload["messages"][0]["content"] == "redacted-by-litellm" + expected_response_content = "redacted-by-litellm" if expect_redacted else "hello" + expected_message_content = "redacted-by-litellm" if expect_redacted else "hi" + assert standard_logging_payload["response"]["choices"][0]["message"]["content"] == expected_response_content + assert standard_logging_payload["messages"][0]["content"] == expected_message_content -@pytest.mark.parametrize("turn_off_message_logging", [True, False]) +@pytest.mark.parametrize( + "dynamic_turn_off, expect_redacted", + [(True, True), (False, False)], +) @pytest.mark.asyncio -async def test_global_redaction_off_ignores_dynamic_param(turn_off_message_logging): - """ - Request-body `turn_off_message_logging` is no longer honored as a dynamic - callback param — global setting (or admin-configured key/team config) wins. - With global redaction OFF, the caller cannot enable redaction via the - request body. - """ +async def test_dynamic_turn_off_message_logging_overrides_global_off(dynamic_turn_off, expect_redacted): litellm.turn_off_message_logging = False test_custom_logger = TestCustomLogger() litellm.callbacks = [test_custom_logger] - response = await litellm.acompletion( + await litellm.acompletion( model="gpt-5-mini", messages=[{"role": "user", "content": "hi"}], - turn_off_message_logging=turn_off_message_logging, + turn_off_message_logging=dynamic_turn_off, mock_response="hello", ) await asyncio.sleep(1) standard_logging_payload = test_custom_logger.logged_standard_logging_payload assert standard_logging_payload is not None - print( - "logged standard logging payload", - json.dumps(standard_logging_payload, indent=2), - ) - assert ( - standard_logging_payload["response"]["choices"][0]["message"]["content"] - == "hello" - ) - assert standard_logging_payload["messages"][0]["content"] == "hi" + + expected_response_content = "redacted-by-litellm" if expect_redacted else "hello" + expected_message_content = "redacted-by-litellm" if expect_redacted else "hi" + assert standard_logging_payload["response"]["choices"][0]["message"]["content"] == expected_response_content + assert standard_logging_payload["messages"][0]["content"] == expected_message_content @pytest.mark.asyncio diff --git a/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py b/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py index f63216b96d4..0dca4f3a1b1 100644 --- a/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py +++ b/tests/test_litellm/litellm_core_utils/test_initialize_dynamic_callback_params.py @@ -7,9 +7,53 @@ from litellm.litellm_core_utils.initialize_dynamic_callback_params import ( initialize_standard_callback_dynamic_params, + iter_client_callback_metadata_dicts, ) +def test_iter_client_callback_metadata_dicts_covers_all_read_paths(): + md = {"m": 1} + lm = {"lm": 1} + lp_md = {"lp": 1} + slots = dict( + iter_client_callback_metadata_dicts( + { + "metadata": md, + "litellm_metadata": lm, + "litellm_params": {"metadata": lp_md}, + } + ) + ) + assert slots == { + "metadata": md, + "litellm_metadata": lm, + "litellm_params.metadata": lp_md, + } + + +def test_iter_client_callback_metadata_dicts_skips_non_dict_slots(): + slots = list( + iter_client_callback_metadata_dicts( + { + "metadata": "not-a-dict", + "litellm_metadata": None, + "litellm_params": {"metadata": []}, + } + ) + ) + assert slots == [] + + +def test_extractor_reads_turn_off_message_logging_from_every_slot(): + for kwargs in ( + {"metadata": {"turn_off_message_logging": True}}, + {"litellm_metadata": {"turn_off_message_logging": True}}, + {"litellm_params": {"metadata": {"turn_off_message_logging": True}}}, + ): + params = initialize_standard_callback_dynamic_params(kwargs) + assert params.get("turn_off_message_logging") is True, kwargs + + def test_resolves_plain_values_at_top_level(): kwargs = { "langfuse_public_key": "pk-test", @@ -36,6 +80,33 @@ def test_resolves_plain_values_from_metadata(): assert params.get("langfuse_host") == "https://test.langfuse.com" +def test_litellm_params_metadata_overrides_metadata(): + kwargs = { + "metadata": { + "langfuse_public_key": "pk-meta", + }, + "litellm_params": { + "metadata": { + "langfuse_public_key": "pk-litellm-params", + } + }, + } + + params = initialize_standard_callback_dynamic_params(kwargs) + + assert params.get("langfuse_public_key") == "pk-litellm-params" + + +def test_top_level_kwargs_overrides_metadata_slots(): + kwargs = { + "langfuse_public_key": "from-top-level", + "metadata": {"langfuse_public_key": "from-metadata"}, + "litellm_params": {"metadata": {"langfuse_public_key": "from-litellm-params"}}, + } + params = initialize_standard_callback_dynamic_params(kwargs) + assert params.get("langfuse_public_key") == "from-top-level" + + def test_env_reference_at_top_level_raises_with_guidance(): kwargs = {"langfuse_public_key": "os.environ/LANGFUSE_PUBLIC_KEY"} @@ -100,11 +171,17 @@ def test_non_string_values_are_not_flagged(): assert params.get("langsmith_sampling_rate") == 0.5 -def test_turn_off_message_logging_not_extracted_from_request(): - """turn_off_message_logging is admin-only — must not be settable via request.""" - kwargs = {"turn_off_message_logging": True} +@pytest.mark.parametrize( + "kwargs,expected", + [ + ({"turn_off_message_logging": False}, False), + ({"turn_off_message_logging": "False"}, "False"), + ({"metadata": {"turn_off_message_logging": True}}, True), + ], +) +def test_turn_off_message_logging_extracted_from_kwargs(kwargs, expected): params = initialize_standard_callback_dynamic_params(kwargs) - assert params.get("turn_off_message_logging") is None + assert params.get("turn_off_message_logging") == expected def test_empty_kwargs_returns_empty_params(): diff --git a/tests/test_litellm/llms/anthropic/messages/test_advisor_orchestration.py b/tests/test_litellm/llms/anthropic/messages/test_advisor_orchestration.py index 2cb7b4db3d4..a2f5e00c8aa 100644 --- a/tests/test_litellm/llms/anthropic/messages/test_advisor_orchestration.py +++ b/tests/test_litellm/llms/anthropic/messages/test_advisor_orchestration.py @@ -516,3 +516,406 @@ async def mock_call(model, messages, tools, stream, max_tokens, **kwargs): ) assert str(_c.ADVISOR_MAX_USES) in str(exc_info.value) + + +# --------------------------------------------------------------------------- +# 12. Defense-in-depth: client-supplied advisor api_base/api_key are dropped +# unless the proxy admin opted into clientside credentials +# --------------------------------------------------------------------------- + + +ADVISOR_TOOL_WITH_CREDS = { + "type": "advisor_20260301", + "name": "advisor", + "model": "claude-opus-4-6", + "api_base": "https://other.example", + "api_key": "sk-other", +} + + +async def _run_advisor_and_capture_subcall_kwargs(): + """Run one advisor turn and return the kwargs of the advisor sub-call.""" + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + AdvisorOrchestrationHandler, + ) + + advisor_tool_use_resp = _make_advisor_tool_use_response(tool_id="toolu_01") + advisor_advice_resp = _make_text_response("advice", model="claude-opus-4-6") + final_resp = _make_text_response("final answer") + + captured = {} + call_count = 0 + + async def mock_call(model, messages, tools, stream, max_tokens, **kwargs): + nonlocal call_count + call_count += 1 + if call_count == 1: + return advisor_tool_use_resp + if call_count == 2: + # The advisor sub-call — capture its routing kwargs. + captured["api_key"] = kwargs.get("api_key") + captured["api_base"] = kwargs.get("api_base") + return advisor_advice_resp + return final_resp + + with ( + patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._call_messages_handler", + side_effect=mock_call, + ), + patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor.validate_url", + ), + ): + h = AdvisorOrchestrationHandler() + await h.handle( + model="openai/gpt-4o-mini", + messages=MESSAGES, + tools=[ADVISOR_TOOL_WITH_CREDS], + stream=False, + max_tokens=512, + custom_llm_provider="openai", + ) + return captured + + +@pytest.mark.asyncio +async def test_advisor_creds_dropped_when_proxy_opt_in_disabled(): + """On the proxy without opt-in, the caller's advisor api_base/api_key must + NOT reach the sub-call (would redirect it / leak the server key).""" + with patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=False, + ): + captured = await _run_advisor_and_capture_subcall_kwargs() + assert captured["api_key"] is None + assert captured["api_base"] is None + + +@pytest.mark.asyncio +async def test_advisor_creds_honored_when_proxy_opt_in_enabled(): + """With the admin opt-in, the documented clientside routing still works.""" + with patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=True, + ): + captured = await _run_advisor_and_capture_subcall_kwargs() + assert captured["api_key"] == "sk-other" + assert captured["api_base"] == "https://other.example" + + +# --------------------------------------------------------------------------- +# 13. The proxy gate itself: _allow_client_side_advisor_credentials() and the +# full handle() driven by the real proxy general_settings flag. +# --------------------------------------------------------------------------- + + +def _fake_proxy_server(general_settings: Dict): + """A stand-in litellm.proxy.proxy_server module exposing general_settings. + + The real proxy_server pulls in heavy optional deps that may be absent in a + unit-test environment, so the gate's + ``from litellm.proxy.proxy_server import general_settings`` is satisfied by + injecting this lightweight module into sys.modules. + """ + import types + + module = types.ModuleType("litellm.proxy.proxy_server") + module.general_settings = general_settings # type: ignore[attr-defined] + return module + + +def test_allow_client_side_advisor_credentials_reads_proxy_flag(): + """The gate mirrors the proxy's allow_client_side_credentials opt-in.""" + import sys + + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _allow_client_side_advisor_credentials, + ) + + cases = ( + ({"allow_client_side_credentials": True}, True), + ({"allow_client_side_credentials": False}, False), + # Flag absent entirely -> default deny on the proxy. + ({}, False), + ) + for settings, expected in cases: + with patch.dict( + sys.modules, + {"litellm.proxy.proxy_server": _fake_proxy_server(settings)}, + ): + assert _allow_client_side_advisor_credentials() is expected + + +def test_allow_client_side_advisor_credentials_defaults_true_outside_proxy(): + """Outside the proxy (proxy_server import unavailable), there is no admin + boundary, so the gate permits client-supplied routing.""" + import builtins + import sys + + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _allow_client_side_advisor_credentials, + ) + + real_import = builtins.__import__ + + def _blocked_import(name, *args, **kwargs): + if name == "litellm.proxy.proxy_server": + raise ImportError("proxy server unavailable") + return real_import(name, *args, **kwargs) + + with patch.dict(sys.modules): + sys.modules.pop("litellm.proxy.proxy_server", None) + with patch.object(builtins, "__import__", _blocked_import): + assert _allow_client_side_advisor_credentials() is True + + +def test_advisor_gate_propagates_non_import_errors(): + """Non-ImportError failures during the proxy module probe must not + default permissive. If the proxy is partially loaded and raises + RuntimeError, the gate should surface that rather than silently + returning True.""" + import sys + + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors import ( + advisor, + ) + + original = sys.modules.get("litellm.proxy.proxy_server") + + class _Broken: + def __getattr__(self, _name): + raise RuntimeError("partial proxy boot") + + sys.modules["litellm.proxy.proxy_server"] = _Broken() + try: + with pytest.raises(RuntimeError, match="partial proxy boot"): + advisor._allow_client_side_advisor_credentials() + finally: + if original is None: + sys.modules.pop("litellm.proxy.proxy_server", None) + else: + sys.modules["litellm.proxy.proxy_server"] = original + + +@pytest.mark.asyncio +async def test_advisor_ignores_tool_credentials_when_clientside_disabled(): + """Driven by the real proxy flag (not a patched gate): with + allow_client_side_credentials False, the tool-supplied api_base/api_key must + not reach the advisor sub-call.""" + import sys + + with patch.dict( + sys.modules, + { + "litellm.proxy.proxy_server": _fake_proxy_server( + {"allow_client_side_credentials": False} + ) + }, + ): + captured = await _run_advisor_and_capture_subcall_kwargs() + assert captured["api_key"] is None + assert captured["api_base"] is None + + +@pytest.mark.asyncio +async def test_advisor_uses_tool_credentials_when_clientside_enabled(): + """Driven by the real proxy flag: with allow_client_side_credentials True, + the tool-supplied api_base/api_key flow through to the advisor sub-call.""" + import sys + + with patch.dict( + sys.modules, + { + "litellm.proxy.proxy_server": _fake_proxy_server( + {"allow_client_side_credentials": True} + ) + }, + ): + captured = await _run_advisor_and_capture_subcall_kwargs() + assert captured["api_key"] == "sk-other" + assert captured["api_base"] == "https://other.example" + + +# --------------------------------------------------------------------------- +# 14. _resolve_advisor_credentials: api_base is only honored alongside a +# caller-supplied api_key, and is SSRF-validated before use. +# --------------------------------------------------------------------------- + + +def test_resolve_advisor_credentials_returns_none_when_gate_closed(): + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _resolve_advisor_credentials, + ) + + with patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=False, + ): + result = _resolve_advisor_credentials(ADVISOR_TOOL_WITH_CREDS) + assert result == (None, None) + + +def test_resolve_advisor_credentials_allows_api_key_without_api_base(): + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _resolve_advisor_credentials, + ) + + tool = {**ADVISOR_TOOL, "api_key": "sk-other"} + with ( + patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=True, + ), + patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor.validate_url", + side_effect=AssertionError("validate_url must not run without an api_base"), + ), + ): + result = _resolve_advisor_credentials(tool) + assert result == ("sk-other", None) + + +def test_resolve_advisor_credentials_rejects_api_base_without_api_key(): + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _resolve_advisor_credentials, + ) + + tool = {**ADVISOR_TOOL, "api_base": "https://other.example"} + with patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=True, + ): + with pytest.raises(ValueError, match="api_base"): + _resolve_advisor_credentials(tool) + + +def test_resolve_advisor_credentials_validates_api_base_before_use(): + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _resolve_advisor_credentials, + ) + + with ( + patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=True, + ), + patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor.validate_url" + ) as mock_validate, + ): + result = _resolve_advisor_credentials(ADVISOR_TOOL_WITH_CREDS) + mock_validate.assert_called_once_with("https://other.example") + assert result == ("sk-other", "https://other.example") + + +def test_resolve_advisor_credentials_propagates_ssrf_error(): + from litellm.litellm_core_utils.url_utils import SSRFError + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _resolve_advisor_credentials, + ) + + with ( + patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=True, + ), + patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor.validate_url", + side_effect=SSRFError("URL targets a blocked address"), + ), + ): + with pytest.raises(SSRFError): + _resolve_advisor_credentials(ADVISOR_TOOL_WITH_CREDS) + + +def test_resolve_advisor_credentials_skips_validation_when_url_validation_disabled(): + import litellm + + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _resolve_advisor_credentials, + ) + + with ( + patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=True, + ), + patch.object(litellm, "user_url_validation", False), + patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor.validate_url", + side_effect=AssertionError("validate_url must not run when user_url_validation is disabled"), + ), + ): + result = _resolve_advisor_credentials(ADVISOR_TOOL_WITH_CREDS) + assert result == ("sk-other", "https://other.example") + + +def test_resolve_advisor_credentials_blocks_real_cloud_metadata_address(): + """End-to-end (no mocked validate_url): a caller can't redirect the + advisor sub-call to the cloud-metadata address even with an api_key.""" + from litellm.litellm_core_utils.url_utils import SSRFError + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _resolve_advisor_credentials, + ) + + tool = { + **ADVISOR_TOOL, + "api_key": "sk-other", + "api_base": "https://169.254.169.254/latest/meta-data/", + } + with patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=True, + ): + with pytest.raises(SSRFError): + _resolve_advisor_credentials(tool) + + +def test_resolve_advisor_credentials_rejects_non_https_api_base(): + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _resolve_advisor_credentials, + ) + + tool = {**ADVISOR_TOOL, "api_key": "sk-other", "api_base": "http://8.8.8.8"} + with patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=True, + ): + with pytest.raises(ValueError, match="https"): + _resolve_advisor_credentials(tool) + + +def test_resolve_advisor_credentials_rejects_api_base_when_ssl_verify_disabled(): + import litellm + + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _resolve_advisor_credentials, + ) + + tool = {**ADVISOR_TOOL, "api_key": "sk-other", "api_base": "https://8.8.8.8"} + with ( + patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=True, + ), + patch.object(litellm, "ssl_verify", False), + ): + with pytest.raises(ValueError, match="ssl_verify"): + _resolve_advisor_credentials(tool) + + +def test_resolve_advisor_credentials_allows_real_public_ip_address(): + """End-to-end (no mocked validate_url): a globally-routable literal IP + api_base is honored when paired with an api_key.""" + from litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor import ( + _resolve_advisor_credentials, + ) + + tool = {**ADVISOR_TOOL, "api_key": "sk-other", "api_base": "https://8.8.8.8"} + with patch( + "litellm.llms.anthropic.experimental_pass_through.messages.interceptors.advisor._allow_client_side_advisor_credentials", + return_value=True, + ): + result = _resolve_advisor_credentials(tool) + assert result == ("sk-other", "https://8.8.8.8") diff --git a/tests/test_litellm/llms/bedrock/test_base_aws_llm.py b/tests/test_litellm/llms/bedrock/test_base_aws_llm.py index 3f91f6ac26e..2d5242d510f 100644 --- a/tests/test_litellm/llms/bedrock/test_base_aws_llm.py +++ b/tests/test_litellm/llms/bedrock/test_base_aws_llm.py @@ -163,6 +163,134 @@ def test_aws_profile_path_not_cached_in_iam_cache(): assert mock_profile.call_count == 2 +def test_get_credentials_does_not_expand_request_env_reference(): + """ + A parameter of the form os.environ/ reaching get_credentials is left as-is + rather than expanded against the process environment, so the downstream auth + helper only ever receives the literal value. + """ + env = _os_environ_without_aws_keys() + env["SERVER_ONLY_VALUE"] = "config-managed-value" + base = BaseAWSLLM() + with patch.dict(os.environ, env, clear=True), patch.object( + base, + "_auth_with_aws_profile", + return_value=(Credentials("ak", "sk", None), None), + ) as mock_profile: + base.get_credentials(aws_profile_name="os.environ/SERVER_ONLY_VALUE") + + assert mock_profile.call_args.args[0] == "os.environ/SERVER_ONLY_VALUE" + assert "config-managed-value" not in str(mock_profile.call_args) + + +def test_get_credentials_falls_back_to_ambient_aws_profile_name_env(): + """ + The fixed AWS_* ambient fallback keeps working: an unset aws_profile_name + resolves from the AWS_PROFILE_NAME environment variable. + """ + env = _os_environ_without_aws_keys() + env["AWS_PROFILE_NAME"] = "ambient-profile" + base = BaseAWSLLM() + with patch.dict(os.environ, env, clear=True), patch.object( + base, + "_auth_with_aws_profile", + return_value=(Credentials("ak", "sk", None), None), + ) as mock_profile: + base.get_credentials(aws_profile_name=None) + + assert mock_profile.call_args.args[0] == "ambient-profile" + + +def test_get_credentials_ambient_fallback_resolves_aws_external_id(): + """ + Each unset param falls back to its own AWS_* env var. Regression for an index + misalignment between the value list and the env-name list, which left + AWS_EXTERNAL_ID unresolved. + """ + env = _os_environ_without_aws_keys() + env["AWS_EXTERNAL_ID"] = "ext-from-env" + base = BaseAWSLLM() + with patch.dict(os.environ, env, clear=True), patch.object( + base, + "_auth_with_aws_role", + return_value=(Credentials("ak", "sk", "tok"), None), + ) as mock_role: + base.get_credentials( + aws_role_name="arn:aws:iam::123456789012:role/x", + aws_session_name="s", + ) + + assert mock_role.call_args.kwargs["aws_external_id"] == "ext-from-env" + + +def _capturing_sts_client(captured: Dict[str, Any]) -> MagicMock: + sts = MagicMock() + + def _assume(**params): + captured["WebIdentityToken"] = params.get("WebIdentityToken") + return { + "Credentials": { + "AccessKeyId": "AKIA", + "SecretAccessKey": "sk", + "SessionToken": "tok", + }, + "PackedPolicySize": 10, + } + + sts.assume_role_with_web_identity.side_effect = _assume + return sts + + +@pytest.mark.parametrize( + "token_ref", + ["os.environ/SERVER_ONLY_VALUE", "SERVER_ONLY_VALUE"], + ids=["os_environ_prefix", "bare_env_name"], +) +def test_web_identity_token_env_reference_not_expanded(token_ref): + """ + A web-identity token that is an environment-variable reference (an os.environ/ + prefix, or a bare name matching an env var) is rejected rather than expanded, so + the process-environment value is never used as the token. + """ + env = _os_environ_without_aws_keys() + env["SERVER_ONLY_VALUE"] = "server-only-value" + captured: Dict[str, Any] = {} + base = BaseAWSLLM() + with patch.dict(os.environ, env, clear=True), patch( + "boto3.client", side_effect=lambda *a, **k: _capturing_sts_client(captured) + ), patch("boto3.Session", return_value=MagicMock()): + with pytest.raises(AwsAuthError): + base.get_credentials( + aws_web_identity_token=token_ref, + aws_role_name="arn:aws:iam::123456789012:role/x", + aws_session_name="s", + aws_sts_endpoint="https://custom-sts.example", + ) + + assert "server-only-value" not in str(captured) + + +def test_web_identity_token_oidc_reference_still_resolved(): + """ + The env-reference guard does not over-reject: an oidc/ reference still flows to + get_secret (mocked to None here), surfacing the existing 401 rather than the 400 + used for rejected env-var references. + """ + base = BaseAWSLLM() + env = _os_environ_without_aws_keys() + with patch.dict(os.environ, env, clear=True), patch( + "litellm.llms.bedrock.base_aws_llm.get_secret", return_value=None + ): + with pytest.raises(AwsAuthError) as exc: + base.get_credentials( + aws_web_identity_token="oidc/circleci/", + aws_role_name="arn:aws:iam::123456789012:role/x", + aws_session_name="s", + ) + + assert exc.value.status_code == 401 + + def test_web_identity_path_not_cached_in_iam_cache(): base = BaseAWSLLM() with patch.object( diff --git a/tests/test_litellm/llms/huggingface/embedding/test_huggingface_embedding_handler.py b/tests/test_litellm/llms/huggingface/embedding/test_huggingface_embedding_handler.py index 8a072fa5097..af8321f24a1 100644 --- a/tests/test_litellm/llms/huggingface/embedding/test_huggingface_embedding_handler.py +++ b/tests/test_litellm/llms/huggingface/embedding/test_huggingface_embedding_handler.py @@ -121,6 +121,20 @@ def test_embedding_allows_special_token_looking_input(self): assert response.usage.prompt_tokens > 0 assert response.usage.total_tokens == response.usage.prompt_tokens + def test_model_name_with_https_substring_uses_api_base(self): + api_base = "https://legit.example/embed" + + litellm.embedding( + model="huggingface/my-https-endpoint", + input=["hello world"], + input_type="embed", + api_base=api_base, + ) + + self.mock_http.assert_called_once() + called_url = self.mock_http.call_args[0][0] + assert called_url == api_base + def test_embedding_with_sentence_similarity_task(self): """Test embedding when task type is sentence-similarity (requires 2+ sentences)""" diff --git a/tests/test_litellm/llms/oobabooga/chat/test_oobabooga.py b/tests/test_litellm/llms/oobabooga/chat/test_oobabooga.py new file mode 100644 index 00000000000..91ebb2bd9d4 --- /dev/null +++ b/tests/test_litellm/llms/oobabooga/chat/test_oobabooga.py @@ -0,0 +1,55 @@ +import os +import sys +from unittest.mock import MagicMock, patch + +sys.path.insert(0, os.path.abspath("../../../../..")) + +import litellm + +MOCK_COMPLETION_RESPONSE = { + "choices": [{"message": {"role": "assistant", "content": "hi there"}}], + "usage": {"prompt_tokens": 3, "completion_tokens": 2, "total_tokens": 5}, +} + + +def _mock_post_response(): + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = "ok" + mock_response.json.return_value = MOCK_COMPLETION_RESPONSE + return mock_response + + +def test_model_name_with_https_substring_uses_api_base(): + api_base = "https://legit.example" + + with patch( + "litellm.llms.custom_httpx.http_handler.HTTPHandler.post" + ) as mock_post: + mock_post.return_value = _mock_post_response() + + litellm.completion( + model="oobabooga/my-https-model", + messages=[{"role": "user", "content": "hello"}], + api_base=api_base, + ) + + mock_post.assert_called_once() + called_url = mock_post.call_args[0][0] + assert called_url == f"{api_base}/v1/chat/completions" + + +def test_url_valued_model_still_targets_that_url(): + with patch( + "litellm.llms.custom_httpx.http_handler.HTTPHandler.post" + ) as mock_post: + mock_post.return_value = _mock_post_response() + + litellm.completion( + model="oobabooga/https://sdk-user.example", + messages=[{"role": "user", "content": "hello"}], + ) + + mock_post.assert_called_once() + called_url = mock_post.call_args[0][0] + assert called_url == "https://sdk-user.example/v1/chat/completions" diff --git a/tests/test_litellm/proxy/auth/test_auth_utils.py b/tests/test_litellm/proxy/auth/test_auth_utils.py index d4ca55ca16b..7c5aba9ab38 100644 --- a/tests/test_litellm/proxy/auth/test_auth_utils.py +++ b/tests/test_litellm/proxy/auth/test_auth_utils.py @@ -1385,7 +1385,7 @@ def test_clears_aws_and_vertex_secrets_on_base_override(self): } out = get_dynamic_litellm_params( litellm_params=dict(admin_params), - request_kwargs={"base_url": "https://attacker.example"}, + request_kwargs={"base_url": "https://attacker.example", "api_key": "sk-caller"}, ) assert "aws_access_key_id" not in out assert "aws_secret_access_key" not in out @@ -1413,6 +1413,7 @@ def test_caller_resupplied_value_overrides_admin_value_on_base_override(self): }, request_kwargs={ "api_base": "https://attacker.example", + "api_key": "sk-caller", "organization": "org-attacker", "extra_body": {"attacker": "value"}, }, @@ -1436,6 +1437,7 @@ def test_field_echo_does_not_preserve_admin_value(self): }, request_kwargs={ "api_base": "https://attacker.example", + "api_key": "sk-caller", "organization": "", "extra_body": "", }, @@ -1463,6 +1465,310 @@ def test_no_clearing_when_only_api_key_overridden(self): assert out["api_version"] == "2026-04-01" assert out["api_base"] == "https://admin.upstream/v1" + def test_client_api_key_used_when_supplied_with_base_override(self): + from litellm.router_utils.clientside_credential_handler import ( + get_dynamic_litellm_params, + ) + + out = get_dynamic_litellm_params( + litellm_params={ + "model": "gpt-4", + "api_key": "sk-admin-secret", + "api_base": "https://admin.upstream/v1", + }, + request_kwargs={ + "api_base": "https://attacker.example", + "api_key": "sk-client-byok", + }, + ) + assert out["api_key"] == "sk-client-byok" + assert "sk-admin-secret" not in str(out) + + +_OPENAI_CHAT_RESPONSE = { + "id": "chatcmpl-x", + "object": "chat.completion", + "created": 1, + "model": "gpt-4", + "choices": [{"index": 0, "message": {"role": "assistant", "content": "hi"}, "finish_reason": "stop"}], + "usage": {"prompt_tokens": 1, "completion_tokens": 1, "total_tokens": 2}, +} + + +class TestClientsideBaseOverrideOutboundKey: + """Drive a completion through the router and assert on the outbound request + when the caller overrides ``api_base``.""" + + def _router(self): + from litellm import Router + + return Router( + model_list=[ + { + "model_name": "gpt-4", + "litellm_params": { + "model": "openai/gpt-4", + "api_key": "sk-SERVER-CONFIG", + "api_base": "https://admin.upstream/v1", + }, + } + ] + ) + + @pytest.fixture(autouse=True) + def _ambient_server_key(self, monkeypatch): + import litellm + + monkeypatch.setenv("OPENAI_API_KEY", "sk-SERVER-ENV") + monkeypatch.setattr(litellm, "api_key", None, raising=False) + + def test_caller_key_override_sends_caller_key_never_server_key(self): + import httpx + import respx + + with respx.mock: + route = respx.post("https://caller.example/v1/chat/completions").mock( + return_value=httpx.Response(200, json=_OPENAI_CHAT_RESPONSE) + ) + self._router().completion( + model="gpt-4", + messages=[{"role": "user", "content": "hi"}], + api_base="https://caller.example/v1", + api_key="sk-CALLER", + ) + authorization = route.calls.last.request.headers.get("authorization") + assert authorization == "Bearer sk-CALLER" + assert "SERVER" not in (authorization or "") + + +def _rounds_deep_api_base_payload(rounds, field): + """Build a fallbacks payload with ``api_base`` on a target nested ``rounds`` + fallback-rounds deep, each round wrapped in its own grouping dict.""" + node = {"model": "leaf", "api_base": "https://attacker.example"} + for i in range(rounds): + node = {"model": f"m{i}", field: [{"grp": [node]}]} + return {"model": "gpt-4", field: [{"grp": [node]}]} + + +class TestIsRequestBodySafeBlocksFallbackSmuggle: + """``is_request_body_safe`` runs the banned-param check on every dict target + inside the fallback lists.""" + + @pytest.fixture(autouse=True) + def _disable_url_validation(self, monkeypatch): + import litellm + + monkeypatch.setattr(litellm, "user_url_validation", False, raising=False) + + @pytest.mark.parametrize( + "fallback_key", + ["fallbacks", "context_window_fallbacks", "content_policy_fallbacks"], + ) + def test_api_base_smuggled_via_nested_fallback_is_rejected(self, fallback_key): + with pytest.raises(ValueError, match="api_base"): + is_request_body_safe( + request_body={ + "model": "gpt-4", + fallback_key: [ + { + "gpt-4": [ + {"model": "evil", "api_base": "https://attacker.example"}, + ] + } + ], + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + def test_string_only_fallbacks_are_accepted(self): + assert ( + is_request_body_safe( + request_body={ + "model": "gpt-4", + "fallbacks": [{"gpt-4": ["gpt-3.5-turbo", "claude-3-haiku"]}], + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + is True + ) + + def test_benign_dict_fallback_entry_is_accepted(self): + assert ( + is_request_body_safe( + request_body={ + "model": "gpt-4", + "fallbacks": [{"gpt-4": [{"model": "gpt-3.5-turbo"}]}], + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + is True + ) + + def test_smuggled_fallback_allowed_under_proxy_wide_opt_in(self): + assert ( + is_request_body_safe( + request_body={ + "model": "gpt-4", + "fallbacks": [ + {"gpt-4": [{"model": "byok", "api_base": "https://my-byok.example"}]} + ], + }, + general_settings={"allow_client_side_credentials": True}, + llm_router=None, + model="gpt-4", + ) + is True + ) + + @pytest.mark.parametrize( + "fallback_field", + ["fallbacks", "context_window_fallbacks", "content_policy_fallbacks"], + ) + @pytest.mark.parametrize("surface", ["top_level", "router_settings_override"]) + def test_deeply_nested_api_base_smuggle_rejected_on_both_surfaces(self, fallback_field, surface): + nested = [ + { + "always-fail": [ + { + "model": "x", + fallback_field: [ + {"x": [{"model": "deepseek-chat", "api_base": "http://attacker"}]} + ], + } + ] + } + ] + request_body = {"model": "gpt-4"} + if surface == "top_level": + request_body[fallback_field] = nested + else: + request_body["router_settings_override"] = {fallback_field: nested} + with pytest.raises(ValueError, match="api_base"): + is_request_body_safe( + request_body=request_body, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + def test_router_settings_override_single_level_api_base_rejected(self): + with pytest.raises(ValueError, match="api_base"): + is_request_body_safe( + request_body={ + "model": "gpt-4", + "router_settings_override": { + "fallbacks": [{"gpt-4": [{"model": "x", "api_base": "http://attacker"}]}] + }, + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + def test_model_less_config_dict_api_base_rejected(self): + with pytest.raises(ValueError, match="api_base"): + is_request_body_safe( + request_body={ + "model": "gpt-4", + "fallbacks": [{"gpt-4": [{"api_base": "http://attacker"}]}], + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + def test_nested_api_base_caught_across_router_fallback_rounds(self): + """An ``api_base`` target nested ``ROUTER_MAX_FALLBACKS - 1`` rounds deep + is still reached and rejected.""" + import litellm + + with pytest.raises(ValueError, match="api_base"): + is_request_body_safe( + request_body=_rounds_deep_api_base_payload(litellm.ROUTER_MAX_FALLBACKS - 1, "fallbacks"), + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + def test_grouping_only_deep_chain_is_rejected_at_depth_limit(self): + """A deep grouping-only chain (``{"g": [{"g": [...]}]}``) is rejected at the + validation-depth limit rather than accepted or raising RecursionError.""" + node: object = ["safe-model"] + for _ in range(5000): + node = [{"grp": node}] + with pytest.raises(ValueError, match="depth"): + is_request_body_safe( + request_body={"model": "gpt-4", "fallbacks": node}, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + def test_pathologically_deep_model_nesting_is_rejected(self): + with pytest.raises(ValueError, match="depth"): + is_request_body_safe( + request_body=_rounds_deep_api_base_payload(5000, "fallbacks"), + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + +class TestIsRequestBodySafeRejectsUrlValuedFallback: + @pytest.mark.parametrize("fallback_field", ["fallbacks", "context_window_fallbacks", "content_policy_fallbacks"]) + def test_url_valued_string_fallback_is_rejected(self, fallback_field): + with pytest.raises(ValueError, match="URL-valued fallback"): + is_request_body_safe( + request_body={ + "model": "gpt-4", + fallback_field: [{"gpt-4": ["huggingface/http://attacker.example/path"]}], + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + @pytest.mark.parametrize("fallback_field", ["fallbacks", "context_window_fallbacks", "content_policy_fallbacks"]) + def test_url_valued_dict_model_fallback_is_rejected(self, fallback_field): + with pytest.raises(ValueError, match="URL-valued fallback"): + is_request_body_safe( + request_body={ + "model": "gpt-4", + fallback_field: [{"gpt-4": [{"model": "huggingface/http://attacker.example/path"}]}], + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + def test_ordinary_string_fallback_is_allowed(self): + assert ( + is_request_body_safe( + request_body={"model": "gpt-4", "fallbacks": [{"gpt-4": ["gpt-4-backup"]}]}, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + is True + ) + + def test_ordinary_dict_model_fallback_is_allowed(self): + assert ( + is_request_body_safe( + request_body={"model": "gpt-4", "fallbacks": [{"gpt-4": [{"model": "gpt-4-backup"}]}]}, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + is True + ) + class TestIsRequestBodySafeBlocksEndpointTargetingFields: """ @@ -1551,6 +1857,46 @@ def test_admin_opt_in_proxy_wide_still_allows(self): ) +class TestIsRequestBodySafeBlocksVertexCredentialAlias: + @pytest.mark.parametrize("field", ["vertex_ai_credentials"]) + def test_field_in_request_body_is_rejected(self, field): + with pytest.raises(ValueError, match=field): + is_request_body_safe( + request_body={"model": "gpt-4", field: "attacker-supplied"}, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + @pytest.mark.parametrize("field", ["vertex_ai_credentials"]) + def test_admin_opt_in_proxy_wide_allows(self, field): + assert ( + is_request_body_safe( + request_body={"model": "gpt-4", field: "byok-supplied"}, + general_settings={"allow_client_side_credentials": True}, + llm_router=None, + model="gpt-4", + ) + is True + ) + + def test_legitimate_request_body_param_still_allowed(self): + assert ( + is_request_body_safe( + request_body={ + "model": "gpt-4", + "temperature": 0.7, + "max_tokens": 128, + "user": "end-user-123", + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + is True + ) + + # ── is_request_body_safe nested-config recursion (VERIA-6) ──────────────────── @@ -1770,6 +2116,21 @@ def test_observability_field_in_metadata_dict_is_rejected( ) assert field in str(exc.value) + def test_observability_field_in_litellm_params_metadata_is_rejected(self): + with pytest.raises(ValueError) as exc: + is_request_body_safe( + request_body={ + "model": "gpt-4", + "litellm_params": { + "metadata": {"turn_off_message_logging": False} + }, + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + assert "turn_off_message_logging" in str(exc.value) + @pytest.mark.parametrize( "metadata_key", ["metadata", "litellm_metadata"], @@ -1999,3 +2360,125 @@ def test_exception_returns_none(self): lambda self: (_ for _ in ()).throw(RuntimeError("boom")) ) assert get_request_route_template(req) is None + + +class TestIsRequestBodySafeBlocksModelList: + """model_list is an SDK-only field with no proxy API meaning; it must + be rejected from the request body regardless of any opt-in.""" + + def test_model_list_rejected_with_no_opt_in(self): + with pytest.raises(ValueError, match="model_list is not allowed"): + is_request_body_safe( + request_body={ + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + "model_list": [{"model_name": "x", "litellm_params": {}}], + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + def test_model_list_rejected_even_with_proxy_wide_opt_in(self): + with pytest.raises(ValueError, match="model_list is not allowed"): + is_request_body_safe( + request_body={ + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + "model_list": [], + }, + general_settings={"allow_client_side_credentials": True}, + llm_router=None, + model="gpt-4", + ) + + def test_normal_body_still_passes(self): + assert ( + is_request_body_safe( + request_body={ + "model": "gpt-4", + "messages": [{"role": "user", "content": "hi"}], + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + is True + ) + + +class TestIsRequestBodySafeChecksBracketNotationMetadata: + """Bracket notation is how multipart callers express nested metadata; it is + validated the same way the dict form is.""" + + @pytest.mark.parametrize("metadata_key", ["metadata", "litellm_metadata"]) + def test_bracket_notation_banned_param_is_rejected(self, metadata_key): + with pytest.raises(ValueError, match="langfuse_host"): + is_request_body_safe( + request_body={ + "purpose": "assistants", + f"{metadata_key}[langfuse_host]": "https://example.invalid", + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + def test_bracket_notation_api_base_is_rejected(self): + with pytest.raises(ValueError, match="api_base"): + is_request_body_safe( + request_body={"litellm_metadata[api_base]": "https://example.invalid"}, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + + def test_bracket_notation_allowed_under_proxy_wide_opt_in(self): + assert ( + is_request_body_safe( + request_body={"litellm_metadata[langfuse_host]": "https://byok.example"}, + general_settings={"allow_client_side_credentials": True}, + llm_router=None, + model="gpt-4", + ) + is True + ) + + def test_benign_bracket_notation_metadata_is_allowed(self): + assert ( + is_request_body_safe( + request_body={ + "purpose": "assistants", + "litellm_metadata[spend_logs_metadata][owner]": "john", + "litellm_metadata[tags]": "production", + }, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + is True + ) + + def test_bracket_notation_matches_json_encoding_for_deeper_nesting(self): + """A value nested below the first level is treated the same either way: + the check descends one level into metadata, for both encodings.""" + deep_bracket = { + "litellm_metadata[spend_logs_metadata][langfuse_host]": "https://example.invalid" + } + deep_json = { + "litellm_metadata": {"spend_logs_metadata": {"langfuse_host": "https://example.invalid"}} + } + kwargs = dict(general_settings={}, llm_router=None, model="gpt-4") + assert is_request_body_safe(request_body=deep_bracket, **kwargs) is True + assert is_request_body_safe(request_body=deep_json, **kwargs) is True + + def test_body_without_bracket_keys_is_unaffected(self): + assert ( + is_request_body_safe( + request_body={"model": "gpt-4", "messages": [{"role": "user", "content": "hi"}]}, + general_settings={}, + llm_router=None, + model="gpt-4", + ) + is True + ) diff --git a/tests/test_litellm/proxy/auth/test_router_override_fallback_auth.py b/tests/test_litellm/proxy/auth/test_router_override_fallback_auth.py index fc0e9aec501..eb1135a240a 100644 --- a/tests/test_litellm/proxy/auth/test_router_override_fallback_auth.py +++ b/tests/test_litellm/proxy/auth/test_router_override_fallback_auth.py @@ -11,12 +11,22 @@ import pytest from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth +from litellm.proxy.auth.auth_utils import iter_request_fallback_targets from litellm.proxy.auth.user_api_key_auth import ( _enforce_key_and_fallback_model_access, - iter_router_fallback_model_names, + _fallback_target_model_name, ) +def _fallback_model_names(fallbacks): + """Model names the auth check validates for a top-level ``fallbacks`` value.""" + return [ + name + for target in iter_request_fallback_targets({"fallbacks": fallbacks}) + if (name := _fallback_target_model_name(target)) is not None + ] + + def _key_with_models(models: List[str]) -> UserAPIKeyAuth: return UserAPIKeyAuth( api_key="hashed", @@ -26,37 +36,40 @@ def _key_with_models(models: List[str]) -> UserAPIKeyAuth: ) -# ── iter_router_fallback_model_names ───────────────────────────────────────── +# ── fallback model-name extraction ─────────────────────────────────────────── -def testiter_router_fallback_model_names_router_config_shape(): +def test_fallback_model_names_router_config_shape(): """Router-config shape: ``[{primary: [fallback_list]}]``.""" - assert list( - iter_router_fallback_model_names( - [{"gpt-3.5-turbo": ["gpt-4", "claude-3"]}, {"gpt-4o": ["o1"]}] - ) + assert _fallback_model_names( + [{"gpt-3.5-turbo": ["gpt-4", "claude-3"]}, {"gpt-4o": ["o1"]}] ) == ["gpt-4", "claude-3", "o1"] -def testiter_router_fallback_model_names_simple_string_shape(): +def test_fallback_model_names_simple_string_shape(): """Simple top-level shape: list of strings.""" - assert list(iter_router_fallback_model_names(["gpt-4", "claude-3"])) == [ + assert _fallback_model_names(["gpt-4", "claude-3"]) == ["gpt-4", "claude-3"] + + +def test_fallback_model_names_client_side_shape(): + """ClientSideFallbackModel shape: ``[{"model": "..."}]``.""" + assert _fallback_model_names([{"model": "gpt-4"}, {"model": "claude-3"}]) == [ "gpt-4", "claude-3", ] -def testiter_router_fallback_model_names_client_side_shape(): - """ClientSideFallbackModel shape: ``[{"model": "..."}]``.""" - assert list( - iter_router_fallback_model_names([{"model": "gpt-4"}, {"model": "claude-3"}]) - ) == ["gpt-4", "claude-3"] +def test_fallback_model_names_nested_deployment_fallbacks(): + """A deployment target's own nested fallback field is unrolled too.""" + assert _fallback_model_names( + [{"primary": [{"model": "gpt-4", "fallbacks": [{"gpt-4": ["deepseek-chat"]}]}]}] + ) == ["gpt-4", "deepseek-chat"] -def testiter_router_fallback_model_names_empty_or_none(): - assert list(iter_router_fallback_model_names(None)) == [] - assert list(iter_router_fallback_model_names([])) == [] - assert list(iter_router_fallback_model_names("not a list")) == [] +def test_fallback_model_names_empty_or_none(): + assert _fallback_model_names(None) == [] + assert _fallback_model_names([]) == [] + assert _fallback_model_names("not a list") == [] # ── _enforce_key_and_fallback_model_access ──────────────────────────────────── @@ -200,6 +213,98 @@ async def fake_can_key_call_model(model, llm_model_list, valid_token, llm_router assert "top-level-smuggled" in seen +@pytest.mark.asyncio +async def test_nested_deployment_fallback_inner_model_validated(): + """A model name nested several fallback rounds deep, inside a deployment + target's own ``fallbacks``, is extracted and passed to can_key_call_model.""" + valid_token = _key_with_models(["gpt-3.5-turbo"]) + request_data = { + "model": "gpt-3.5-turbo", + "fallbacks": [ + { + "gpt-3.5-turbo": [ + { + "model": "gpt-3.5-turbo", + "fallbacks": [{"gpt-3.5-turbo": ["deep-smuggled-model"]}], + } + ] + } + ], + } + + seen: List[str] = [] + + async def fake_can_key_call_model(model, llm_model_list, valid_token, llm_router): + seen.append(model) + + with ( + patch( + "litellm.proxy.auth.user_api_key_auth.can_key_call_model", + side_effect=fake_can_key_call_model, + ), + patch( + "litellm.proxy.auth.user_api_key_auth.is_valid_fallback_model", + new=AsyncMock(), + ), + ): + await _enforce_key_and_fallback_model_access( + valid_token=valid_token, + request_data=request_data, + route="/v1/chat/completions", + request=None, + llm_model_list=None, + llm_router=None, + ) + + assert "deep-smuggled-model" in seen + + +@pytest.mark.asyncio +async def test_model_less_fallback_dict_is_skipped_never_passed_as_none(): + """A fallback target dict without a ``model`` key is skipped, never passed + as ``None`` into can_key_call_model / is_valid_fallback_model.""" + valid_token = _key_with_models(["gpt-3.5-turbo"]) + request_data = { + "model": "gpt-3.5-turbo", + "fallbacks": [ + { + "gpt-3.5-turbo": [ + {"model": "real-fallback"}, + {"api_base": "http://attacker"}, + "string-fallback", + ] + } + ], + } + + seen: List[str] = [] + + async def fake_can_key_call_model(model, llm_model_list, valid_token, llm_router): + seen.append(model) + + with ( + patch( + "litellm.proxy.auth.user_api_key_auth.can_key_call_model", + side_effect=fake_can_key_call_model, + ), + patch( + "litellm.proxy.auth.user_api_key_auth.is_valid_fallback_model", + new=AsyncMock(), + ), + ): + await _enforce_key_and_fallback_model_access( + valid_token=valid_token, + request_data=request_data, + route="/v1/chat/completions", + request=None, + llm_model_list=None, + llm_router=None, + ) + + assert None not in seen + assert seen == ["gpt-3.5-turbo", "real-fallback", "string-fallback"] + + @pytest.mark.asyncio async def test_router_override_without_fallbacks_does_not_break_auth(): """``router_settings_override`` set without any fallback fields is a diff --git a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py index 80a4804956c..a02d726283d 100644 --- a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py +++ b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py @@ -1823,3 +1823,96 @@ def test_clean_endpoint_data_strips_credentials_keeps_routing_fields(): assert "aws_access_key_id" not in cleaned assert cleaned.get("api_base") == "https://example.test/v1" assert cleaned.get("api_version") == "2024-10-21" + + +class TestConfigBaseForHealthCheck: + """A request that sets its own connection fields gets a base without the + configuration's credentials; anything it leaves unset still comes from + the configuration.""" + + CONFIG = { + "model": "openai/gpt-4o", + "api_key": "sk-configured", + "api_base": "https://configured.example/v1", + "vertex_credentials": "configured-creds", + "rpm": 100, + } + + def _base(self, config, request, allow_client_side_credentials=False): + from litellm.proxy.health_endpoints._health_endpoints import ( + _config_base_for_health_check, + ) + + return _config_base_for_health_check( + config, request, allow_client_side_credentials=allow_client_side_credentials + ) + + def test_request_without_connection_fields_inherits_config(self): + base = self._base(self.CONFIG, {"model": "openai/gpt-4o"}) + assert base["api_key"] == "sk-configured" + assert base["api_base"] == "https://configured.example/v1" + + def test_request_setting_api_base_does_not_inherit_config_credentials(self): + base = self._base(self.CONFIG, {"api_base": "https://caller.example/v1"}) + assert "api_key" not in base + assert "api_base" not in base + assert "vertex_credentials" not in base + assert base["rpm"] == 100 + + def test_add_model_flow_keeps_its_own_credentials(self): + """Adding a second deployment for an already-configured name sends a + complete connection; it is tested as sent, not as configured.""" + request = { + "model": "openai/gpt-4o", + "api_base": "https://new-deployment.example/v1", + "api_key": "sk-new-deployment", + } + merged = {**self._base(self.CONFIG, request), **request} + assert merged["api_base"] == "https://new-deployment.example/v1" + assert merged["api_key"] == "sk-new-deployment" + assert "sk-configured" not in str(merged) + + def test_destination_override_without_own_key_inherits_no_credential(self): + """A request that redirects the destination but supplies no credential + of its own gets none from the configuration.""" + request = {"api_base": "https://elsewhere.example"} + merged = {**self._base(self.CONFIG, request), **request} + assert "api_key" not in merged + assert "sk-configured" not in str(merged) + + def test_non_api_base_destination_field_also_drops_credentials(self): + base = self._base( + {**self.CONFIG, "aws_secret_access_key": "configured-secret"}, + {"aws_bedrock_runtime_endpoint": "https://caller.example"}, + ) + assert "api_key" not in base + assert "aws_secret_access_key" not in base + + def test_opt_in_restores_configured_credentials_under_a_request_endpoint(self): + """With general_settings.allow_client_side_credentials enabled, a request + may pair its own endpoint with the configured credentials, as before.""" + base = self._base( + self.CONFIG, + {"api_base": "https://caller.example/v1"}, + allow_client_side_credentials=True, + ) + assert base["api_key"] == "sk-configured" + + def test_stored_credential_reference_is_dropped_with_the_credentials(self): + """A stored-credential name resolves to the same secrets downstream, so a + request that redirects the destination must not keep it either.""" + config = {**self.CONFIG, "litellm_credential_name": "OpenAI-prod"} + base = self._base(config, {"api_base": "https://caller.example/v1"}) + assert "litellm_credential_name" not in base + assert "api_key" not in base + + def test_stored_credential_reference_kept_when_request_sets_no_connection(self): + """The Admin UI tests a configured model by naming it plus its stored + credential and nothing else; that keeps working.""" + config = {**self.CONFIG, "litellm_credential_name": "OpenAI-prod"} + base = self._base( + config, + {"model": "openai/gpt-4o", "litellm_credential_name": "OpenAI-prod", "custom_llm_provider": "openai"}, + ) + assert base["litellm_credential_name"] == "OpenAI-prod" + assert base["api_key"] == "sk-configured" diff --git a/tests/test_litellm/proxy/image_endpoints/test_azure_routes.py b/tests/test_litellm/proxy/image_endpoints/test_azure_routes.py index 16fc6c19505..f5410ef0d70 100644 --- a/tests/test_litellm/proxy/image_endpoints/test_azure_routes.py +++ b/tests/test_litellm/proxy/image_endpoints/test_azure_routes.py @@ -120,3 +120,28 @@ def test_azure_image_edit_route(client_no_auth): assert called_kwargs["prompt"] == "A cute baby sea otter" assert response.status_code == 200 assert response.json()["data"] + + +def test_azure_image_generation_route_rejects_url_valued_path_model(client_no_auth): + """A URL-valued deployment segment is refused before any provider call.""" + client, mock_aimage_generation, _ = client_no_auth + response = client.post( + "/openai/deployments/oobabooga/https://example.invalid/images/generations", + json={"prompt": "A cute baby sea otter", "n": 1, "size": "1024x1024"}, + ) + + assert response.status_code == 400 + assert "URL-valued" in response.text + mock_aimage_generation.assert_not_called() + + +def test_azure_image_generation_route_allows_ordinary_path_model(client_no_auth): + """A deployment name that merely contains a provider prefix still routes.""" + client, mock_aimage_generation, _ = client_no_auth + response = client.post( + "/openai/deployments/dall-e-3/images/generations", + json={"prompt": "A cute baby sea otter", "n": 1, "size": "1024x1024"}, + ) + + assert response.status_code == 200 + mock_aimage_generation.assert_called_once() diff --git a/tests/test_litellm/proxy/proxy_server/test_proxy_config.py b/tests/test_litellm/proxy/proxy_server/test_proxy_config.py index 164538a2757..c66fe1c15ca 100644 --- a/tests/test_litellm/proxy/proxy_server/test_proxy_config.py +++ b/tests/test_litellm/proxy/proxy_server/test_proxy_config.py @@ -795,6 +795,172 @@ def test_ProxyConfig__add_deployment_invalid_litellm_params_skips(monkeypatch): assert pc._add_deployment(db_models=[bad]) == 0 +def test_ProxyConfig__add_deployment_resolves_env_refs_after_db_decrypt(monkeypatch): + """Every ``os.environ/`` value on an admin-scoped DB row resolves at + load time, regardless of the field name. Replaces the earlier + behavior where only fields in ``_DB_LITELLM_PARAM_ENV_REF_KEYS`` + resolved: the whitelist has been removed so the resolver applies to + every string field.""" + monkeypatch.setenv("LITELLM_DB_MODEL_API_KEY", "resolved-secret") + monkeypatch.setenv("LITELLM_MASTER_KEY", "master-secret") + monkeypatch.setattr( + "litellm.proxy.proxy_server.decrypt_value_helper", + lambda value, key, return_original_value: value, + ) + fake_router = MagicMock() + fake_router.upsert_deployment = MagicMock(return_value=True) + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", fake_router) + pc = ProxyConfig() + db_model = SimpleNamespace( + model_id="model-1", + model_name="env-model", + model_info={"id": "model-1"}, + litellm_params={ + "model": "openai/gpt-4o-mini", + "api_key": "os.environ/LITELLM_DB_MODEL_API_KEY", + "api_base": "os.environ/LITELLM_MASTER_KEY", + }, + blocked=False, + ) + + added = pc._add_deployment(db_models=[db_model]) + deployment = fake_router.upsert_deployment.call_args.kwargs["deployment"] + + assert added == 1 + assert deployment.litellm_params.api_key == "resolved-secret" + assert deployment.litellm_params.api_base == "master-secret" + + +def test_ProxyConfig__add_deployment_resolves_team_env_refs(monkeypatch): + """Team-scoped DB rows now resolve ``os.environ/`` refs the same way + admin rows do. The prior team-scoped short-circuit and the + field-by-field whitelist have both been removed; the write-side team + auth check in ``ModelManagementAuthChecks.can_user_make_model_call`` + remains the single trust boundary. A literal (non-``os.environ/``) + value still passes through unchanged.""" + monkeypatch.setenv("LITELLM_MASTER_KEY", "master-secret") + monkeypatch.setattr( + "litellm.proxy.proxy_server.decrypt_value_helper", + lambda value, key, return_original_value: value, + ) + fake_router = MagicMock() + fake_router.upsert_deployment = MagicMock(return_value=True) + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", fake_router) + pc = ProxyConfig() + db_model = SimpleNamespace( + model_id="model-1", + model_name="model_name_team-1_abc", + model_info={"id": "model-1", "team_id": "team-1"}, + litellm_params={ + "model": "openai/gpt-4o-mini", + "api_key": "os.environ/LITELLM_MASTER_KEY", + "api_base": "https://team.example", + }, + blocked=False, + ) + + added = pc._add_deployment(db_models=[db_model]) + deployment = fake_router.upsert_deployment.call_args.kwargs["deployment"] + + assert added == 1 + assert deployment.litellm_params.api_key == "master-secret" + assert deployment.litellm_params.api_base == "https://team.example" + + +def test_ProxyConfig__add_deployment_resolves_env_refs_for_aws_bedrock_auth_params( + monkeypatch, +): + """Regression: DB-stored Bedrock/SageMaker auth params like + ``aws_role_name: os.environ/BEDROCK_ASSUME_ROLE_ARN`` must resolve at + DB-load time. PR #30867 removed request-time expansion in + ``BaseAWSLLM.get_credentials``; without DB-load resolution the literal + string reaches STS and fails with ``ValidationError: ... is invalid``.""" + aws_env = { + "aws_session_token": ("BEDROCK_SESSION_TOKEN", "resolved-session-token"), + "aws_region_name": ("BEDROCK_REGION", "us-east-1"), + "aws_session_name": ("BEDROCK_SESSION_NAME", "resolved-session"), + "aws_profile_name": ("BEDROCK_PROFILE", "resolved-profile"), + "aws_role_name": ( + "BEDROCK_ASSUME_ROLE_ARN", + "arn:aws:iam::123456789012:role/resolved", + ), + "aws_web_identity_token": ("BEDROCK_WEB_IDENTITY_TOKEN", "resolved-token"), + "aws_sts_endpoint": ( + "BEDROCK_STS_ENDPOINT", + "https://sts.us-east-1.amazonaws.com", + ), + "aws_external_id": ("BEDROCK_EXTERNAL_ID", "resolved-external-id"), + "aws_bedrock_runtime_endpoint": ( + "BEDROCK_RUNTIME_ENDPOINT", + "https://bedrock-runtime.us-east-1.amazonaws.com", + ), + "aws_bedrock_project_id": ("BEDROCK_PROJECT_ID", "resolved-project-id"), + "aws_batch_role_arn": ( + "BEDROCK_BATCH_ROLE_ARN", + "arn:aws:iam::123456789012:role/batch", + ), + "aws_workspace_id": ("BEDROCK_WORKSPACE_ID", "resolved-workspace-id"), + } + for _, (env_name, env_value) in aws_env.items(): + monkeypatch.setenv(env_name, env_value) + monkeypatch.setattr( + "litellm.proxy.proxy_server.decrypt_value_helper", + lambda value, key, return_original_value: value, + ) + fake_router = MagicMock() + fake_router.upsert_deployment = MagicMock(return_value=True) + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", fake_router) + pc = ProxyConfig() + litellm_params: Dict[str, Any] = {"model": "bedrock/anthropic.claude-v2"} + for key, (env_name, _) in aws_env.items(): + litellm_params[key] = f"os.environ/{env_name}" + db_model = SimpleNamespace( + model_id="model-1", + model_name="bedrock-model", + model_info={"id": "model-1"}, + litellm_params=litellm_params, + blocked=False, + ) + + added = pc._add_deployment(db_models=[db_model]) + deployment = fake_router.upsert_deployment.call_args.kwargs["deployment"] + + assert added == 1 + for key, (_, expected) in aws_env.items(): + assert getattr(deployment.litellm_params, key) == expected, key + + +def test_ProxyConfig__add_deployment_resolves_env_refs_on_arbitrary_field(monkeypatch): + """A made-up field name that was never on the removed whitelist still + resolves ``os.environ/`` refs. Pins the "no whitelist" invariant: + the resolver applies to every string field, not a curated list.""" + monkeypatch.setenv("SOME_CUSTOM_ENV", "resolved-custom-value") + monkeypatch.setattr( + "litellm.proxy.proxy_server.decrypt_value_helper", + lambda value, key, return_original_value: value, + ) + fake_router = MagicMock() + fake_router.upsert_deployment = MagicMock(return_value=True) + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", fake_router) + pc = ProxyConfig() + db_model = SimpleNamespace( + model_id="model-1", + model_name="custom-field-model", + model_info={"id": "model-1"}, + litellm_params={ + "model": "openai/gpt-4o-mini", + "some_future_field": "os.environ/SOME_CUSTOM_ENV", + }, + blocked=False, + ) + + added = pc._add_deployment(db_models=[db_model]) + deployment = fake_router.upsert_deployment.call_args.kwargs["deployment"] + + assert added == 1 + assert deployment.litellm_params.some_future_field == "resolved-custom-value" + + # --------------------------------------------------------------------------- # ProxyConfig.decrypt_model_list_from_db # --------------------------------------------------------------------------- @@ -837,6 +1003,43 @@ def test_ProxyConfig_decrypt_model_list_from_db_invalid_params_skips(): assert out == [] +def test_ProxyConfig_decrypt_model_list_from_db_resolves_env_refs_after_db_decrypt( + monkeypatch, +): + """Path B (feeding /v2/model/info fallback and /model/info fallback) + resolves every ``os.environ/`` field on admin-scoped rows, mirroring + path A. Both paths now share the same universal-resolution shape.""" + monkeypatch.setenv("LITELLM_DB_MODEL_API_KEY", "resolved-secret") + monkeypatch.setenv("LITELLM_MASTER_KEY", "master-secret") + monkeypatch.setattr( + "litellm.proxy.proxy_server.decrypt_value_helper", + lambda value, key, return_original_value: ( + "os.environ/LITELLM_DB_MODEL_API_KEY" + if key == "api_key" + else "os.environ/LITELLM_MASTER_KEY" + if key == "api_base" + else value + ), + ) + pc = ProxyConfig() + m = SimpleNamespace( + model_id="model-1", + model_name="env-model", + model_info={"id": "model-1"}, + litellm_params={ + "api_key": "encrypted-env-ref", + "api_base": "encrypted-api-base-env-ref", + "model": "openai/gpt-4o-mini", + }, + blocked=False, + ) + + out = pc.decrypt_model_list_from_db(new_models=[m]) + + assert out[0]["litellm_params"]["api_key"] == "resolved-secret" + assert out[0]["litellm_params"]["api_base"] == "master-secret" + + # --------------------------------------------------------------------------- # ProxyConfig._update_llm_router # --------------------------------------------------------------------------- diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py index f336c632546..91ea8e42ee4 100644 --- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py +++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py @@ -824,10 +824,19 @@ async def test_add_litellm_data_to_request_strips_client_redaction_bypass_contro "model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "hello"}], "turn_off_message_logging": False, - "metadata": {"headers": {"litellm-disable-message-redaction": "true"}}, + "metadata": { + "headers": {"litellm-disable-message-redaction": "true"}, + "turn_off_message_logging": False, + }, "litellm_metadata": json.dumps( - {"headers": {"LiteLLM-Disable-Message-Redaction": "true"}} + { + "headers": {"LiteLLM-Disable-Message-Redaction": "true"}, + "turn_off_message_logging": "false", + } ), + "litellm_params": { + "metadata": {"turn_off_message_logging": False}, + }, }, request=request_mock, user_api_key_dict=UserAPIKeyAuth(api_key="hashed-key"), @@ -839,6 +848,9 @@ async def test_add_litellm_data_to_request_strips_client_redaction_bypass_contro litellm.turn_off_message_logging = original_turn_off_message_logging assert "turn_off_message_logging" not in updated + assert "turn_off_message_logging" not in (updated.get("litellm_params") or {}).get("metadata", {}) + assert "turn_off_message_logging" not in updated["metadata"] + assert "turn_off_message_logging" not in (updated.get("litellm_metadata") or {}) assert "litellm-disable-message-redaction" not in { header.lower() for header in updated["metadata"]["headers"] } @@ -859,6 +871,158 @@ async def test_add_litellm_data_to_request_strips_client_redaction_bypass_contro } +@pytest.mark.parametrize( + "admin_metadata_kwargs", + [ + { + "metadata": { + "logging": [ + { + "callback_name": "langfuse", + "callback_type": "success_and_failure", + "callback_vars": {"turn_off_message_logging": False}, + } + ] + } + }, + { + "team_metadata": { + "logging": [ + { + "callback_name": "langfuse", + "callback_type": "success_and_failure", + "callback_vars": {"turn_off_message_logging": False}, + } + ] + } + }, + ], +) +@pytest.mark.asyncio +async def test_add_litellm_data_to_request_admin_callback_vars_turn_off_message_logging_overrides_global( + admin_metadata_kwargs, +): + from litellm.litellm_core_utils.initialize_dynamic_callback_params import ( + initialize_standard_callback_dynamic_params, + ) + from litellm.litellm_core_utils.redact_messages import should_redact_message_logging + + request_mock = MagicMock(spec=Request) + request_mock.url.path = "/v1/chat/completions" + request_mock.url = MagicMock() + request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions" + request_mock.method = "POST" + request_mock.query_params = {} + request_mock.headers = {"Content-Type": "application/json"} + request_mock.client = MagicMock() + request_mock.client.host = "127.0.0.1" + + original_turn_off_message_logging = litellm.turn_off_message_logging + litellm.turn_off_message_logging = True + try: + updated = await add_litellm_data_to_request( + data={ + "model": "gpt-3.5-turbo", + "messages": [{"role": "user", "content": "hello"}], + }, + request=request_mock, + user_api_key_dict=UserAPIKeyAuth(api_key="hashed-key", **admin_metadata_kwargs), + proxy_config=MagicMock(), + general_settings={}, + version="test-version", + ) + + assert updated.get("turn_off_message_logging") == "False" + + dynamic_params = initialize_standard_callback_dynamic_params(updated) + assert dynamic_params.get("turn_off_message_logging") == "False" + + assert ( + should_redact_message_logging( + {"standard_callback_dynamic_params": dynamic_params} + ) + is False + ) + finally: + litellm.turn_off_message_logging = original_turn_off_message_logging + + +@pytest.mark.parametrize( + "admin_metadata_kwargs", + [ + { + "metadata": { + "logging": [ + { + "callback_name": "langfuse", + "callback_type": "success_and_failure", + "callback_vars": {"turn_off_message_logging": True}, + } + ] + } + }, + { + "team_metadata": { + "logging": [ + { + "callback_name": "langfuse", + "callback_type": "success_and_failure", + "callback_vars": {"turn_off_message_logging": True}, + } + ] + } + }, + ], +) +@pytest.mark.asyncio +async def test_add_litellm_data_to_request_admin_callback_vars_turn_off_message_logging_enables_redaction_when_global_off( + admin_metadata_kwargs, +): + from litellm.litellm_core_utils.initialize_dynamic_callback_params import ( + initialize_standard_callback_dynamic_params, + ) + from litellm.litellm_core_utils.redact_messages import should_redact_message_logging + + request_mock = MagicMock(spec=Request) + request_mock.url.path = "/v1/chat/completions" + request_mock.url = MagicMock() + request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions" + request_mock.method = "POST" + request_mock.query_params = {} + request_mock.headers = {"Content-Type": "application/json"} + request_mock.client = MagicMock() + request_mock.client.host = "127.0.0.1" + + original_turn_off_message_logging = litellm.turn_off_message_logging + litellm.turn_off_message_logging = False + try: + updated = await add_litellm_data_to_request( + data={ + "model": "gpt-3.5-turbo", + "messages": [{"role": "user", "content": "hello"}], + }, + request=request_mock, + user_api_key_dict=UserAPIKeyAuth(api_key="hashed-key", **admin_metadata_kwargs), + proxy_config=MagicMock(), + general_settings={}, + version="test-version", + ) + + assert updated.get("turn_off_message_logging") == "True" + + dynamic_params = initialize_standard_callback_dynamic_params(updated) + assert dynamic_params.get("turn_off_message_logging") == "True" + + assert ( + should_redact_message_logging( + {"standard_callback_dynamic_params": dynamic_params} + ) + is True + ) + finally: + litellm.turn_off_message_logging = original_turn_off_message_logging + + @pytest.mark.parametrize( "auth_kwargs", [ @@ -891,7 +1055,10 @@ async def test_add_litellm_data_to_request_allows_redaction_opt_out_with_admin_o "model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "hello"}], "turn_off_message_logging": False, - "metadata": {"headers": {"litellm-disable-message-redaction": "true"}}, + "metadata": { + "headers": {"litellm-disable-message-redaction": "true"}, + "turn_off_message_logging": False, + }, "litellm_metadata": json.dumps( {"headers": {"LiteLLM-Disable-Message-Redaction": "true"}} ), @@ -906,6 +1073,7 @@ async def test_add_litellm_data_to_request_allows_redaction_opt_out_with_admin_o litellm.turn_off_message_logging = original_turn_off_message_logging assert updated["turn_off_message_logging"] is False + assert updated["metadata"]["turn_off_message_logging"] is False assert "litellm-disable-message-redaction" in { header.lower() for header in updated["metadata"]["headers"] } diff --git a/tests/test_litellm/proxy/test_provider_url_destination_guard.py b/tests/test_litellm/proxy/test_provider_url_destination_guard.py index 51cd76105d0..cd993a076e8 100644 --- a/tests/test_litellm/proxy/test_provider_url_destination_guard.py +++ b/tests/test_litellm/proxy/test_provider_url_destination_guard.py @@ -39,6 +39,46 @@ def test_url_valued_model_rejected(self): assert exc_info.value.status_code == 400 assert exc_info.value.detail["param"] == "model" + def test_provider_prefixed_url_rejected(self): + with pytest.raises(HTTPException) as exc_info: + _reject_url_valued_destinations( + {"model": "huggingface/https://attacker.example/v1"} + ) + assert exc_info.value.status_code == 400 + assert exc_info.value.detail["param"] == "model" + + def test_comma_batch_smuggled_url_rejected(self): + with pytest.raises(HTTPException) as exc_info: + _reject_url_valued_destinations( + {"model": "gpt-4,huggingface/https://attacker.example/v1"} + ) + assert exc_info.value.status_code == 400 + assert exc_info.value.detail["param"] == "model" + + def test_provider_prefixed_uppercase_scheme_url_rejected(self): + with pytest.raises(HTTPException) as exc_info: + _reject_url_valued_destinations( + {"model": "huggingface/HTTPS://evil.example/v1"} + ) + assert exc_info.value.status_code == 400 + assert exc_info.value.detail["param"] == "model" + + def test_provider_prefixed_plain_model_passes(self): + _reject_url_valued_destinations({"model": "huggingface/BAAI/bge-small-en"}) + + def test_comma_batch_plain_models_pass(self): + _reject_url_valued_destinations({"model": "gpt-4,huggingface/BAAI/bge-small-en"}) + + def test_provider_prefixed_url_respects_allowlist(self, monkeypatch): + monkeypatch.setattr( + litellm, + "provider_url_destination_allowed_hosts", + ["trusted.example"], + ) + _reject_url_valued_destinations( + {"model": "huggingface/https://trusted.example/v1"} + ) + def test_url_valued_file_id_rejected(self): with pytest.raises(HTTPException) as exc_info: _reject_url_valued_destinations( @@ -137,3 +177,16 @@ async def test_add_litellm_data_to_request_rejects_url_valued_model(): ) assert exc_info.value.status_code == 400 assert exc_info.value.detail["param"] == "model" + + +class TestNonStringDestinationValues: + """Only string identifiers are inspected. Anything else is left alone for the + request's normal validation to handle.""" + + @pytest.mark.parametrize("value", [123, None, True, {"a": 1}, ["x"], 1.5]) + def test_non_string_model_is_ignored(self, value): + _reject_url_valued_destinations({"model": value}) + + @pytest.mark.parametrize("value", [123, None, True, {"a": 1}, ["x"]]) + def test_non_string_file_id_is_ignored(self, value): + _reject_url_valued_destinations({"file_id": value}) diff --git a/uv.lock b/uv.lock index 113894d312b..e87fcb5a550 100644 --- a/uv.lock +++ b/uv.lock @@ -9,7 +9,7 @@ resolution-markers = [ ] [options] -exclude-newer = "2026-06-29T23:53:46.228718Z" +exclude-newer = "2026-08-05T08:07:59.128698Z" exclude-newer-span = "P3D" [manifest] @@ -19,9 +19,10 @@ members = [ "litellm-proxy-extras", ] constraints = [ - { name = "aiohttp", specifier = ">=3.14.1,<4.0" }, + { name = "aiohttp", specifier = ">=3.14.2,<4.0" }, { name = "tornado", specifier = ">=6.5.6" }, ] +overrides = [{ name = "cryptography", 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