Merge remote-tracking branch 'origin/litellm_internal_staging' into litellm_fix_org_update_null_budget_limits

enterprise/litellm_enterprise/proxy/audit_logging_endpoints.py

@@ -48,6 +48,18 @@ def _build_json_field_or_condition(json_key: str, value: str) -> dict[str, objec
     }
 
 
+def _build_search_condition(search: str) -> dict[str, object]:
+    """Match a row whose id, changed_by, object_id, or changed_by_api_key equals the search value."""
+    return {
+        "OR": (
+            {"id": search},
+            {"changed_by": search},
+            {"object_id": search},
+            {"changed_by_api_key": search},
+        )
+    }
+
+
 @router.get(
     "/audit",
     tags=["Audit Logging"],
@@ -83,6 +95,10 @@ async def get_audit_logs(
         None,
         description="Filter by token (key hash) present in before_value or updated_values JSON (PostgreSQL only)",
     ),
+    search: str | None = Query(
+        None,
+        description="Match a row whose id, object_id, changed_by, or changed_by_api_key equals this value",
+    ),
     # Sorting parameters
     sort_by: str | None = Query(
         None,
@@ -118,6 +134,11 @@ async def get_audit_logs(
         *([_build_json_field_or_condition("token", object_key_hash)] if object_key_hash else []),
     ]
 
+    and_conditions: Final[tuple[dict[str, object], ...]] = (
+        *json_field_conditions,
+        *((_build_search_condition(search),) if search else ()),
+    )
+
     # Build filter conditions
     where_conditions: Final[dict[str, object]] = {
         **({"changed_by": changed_by} if changed_by else {}),
@@ -126,14 +147,14 @@ async def get_audit_logs(
         **({"table_name": table_name} if table_name else {}),
         **({"object_id": object_id} if object_id else {}),
         **({"updated_at": date_filter} if start_date or end_date else {}),
-        **({"AND": json_field_conditions} if json_field_conditions else {}),
+        **({"AND": and_conditions} if and_conditions else {}),
     }
 
     order_by: Final[dict[str, str]] = (
         {sort_by: sort_order} if sort_by and isinstance(sort_by, str) else {"updated_at": sort_order}
     )
 
-    audit_log_table: Final[TableActions["prisma_models.LiteLLM_AuditLog"]] = AuditLogRepository(prisma_client).table
+    audit_log_table: Final[TableActions[prisma_models.LiteLLM_AuditLog]] = AuditLogRepository(prisma_client).table
 
     # Get paginated results
     audit_logs: Final = await audit_log_table.find_many(
@@ -195,7 +216,7 @@ async def get_audit_log_by_id(
             detail={"message": CommonProxyErrors.db_not_connected_error.value},
         )
 
-    audit_log_table: Final[TableActions["prisma_models.LiteLLM_AuditLog"]] = AuditLogRepository(prisma_client).table
+    audit_log_table: Final[TableActions[prisma_models.LiteLLM_AuditLog]] = AuditLogRepository(prisma_client).table
 
     # Get the audit log by ID
     audit_log: Final = await audit_log_table.find_unique(where={"id": id})

litellm/litellm_core_utils/llm_cost_calc/utils.py

@@ -415,40 +415,64 @@ def _is_off_peak(off_peak: Mapping[str, object], current_time: datetime | None =
     return False
 
 
-def _coerce_off_peak_rate(value: object, default: float) -> float:
+@dataclass(frozen=True, slots=True)
+class TokenRates:
+    input_rate: float
+    output_rate: float
+    cache_read_rate: float
+    cache_creation_rate: float
+    reasoning_rate: float | None
+
+    @property
+    def billed_reasoning_rate(self) -> float:
+        return self.output_rate if self.reasoning_rate is None else self.reasoning_rate
+
+
+def _parse_off_peak_rate(value: object) -> float | None:
     if isinstance(value, bool):
-        return default
+        return None
     if isinstance(value, (int, float)):
         return float(value)
     if isinstance(value, str):
         try:
             return float(value)
         except ValueError:
-            return default
-    return default
+            return None
+    return None
 
 
-def apply_off_peak_pricing(
-    model_info: ModelInfo,
-    current_time: datetime | None,
-    prompt_base_cost: float,
-    completion_base_cost: float,
-    cache_read_cost: float,
-) -> tuple[float, float, float]:
+def _off_peak_rate(off_peak: Mapping[str, object], key: str, standard_rate: float) -> float:
+    parsed: Final = _parse_off_peak_rate(off_peak.get(key))
+    return standard_rate if parsed is None else parsed
+
+
+def _open_off_peak_block(model_info: ModelInfo, current_time: datetime | None) -> Mapping[str, object] | None:
+    off_peak: Final = model_info.get("off_peak_pricing")
+    if not isinstance(off_peak, Mapping) or not _is_off_peak(off_peak, current_time):
+        return None
+    return off_peak
+
+
+def apply_off_peak_pricing(model_info: ModelInfo, current_time: datetime | None, rates: TokenRates) -> TokenRates:
     """Swap in off-peak per-token rates when the current UTC time is inside one of the model's
     off_peak_pricing rules, the every-day hours_utc windows or a day-of-week-qualified entry in
     windows. An off-peak rate replaces the rate that would otherwise apply rather than
     discounting it, so a model that also has tiered or above-threshold pricing bills the flat
     off-peak rate for the whole request while the window is open. Any rate left unset in
-    off_peak_pricing falls back to the standard rate.
+    off_peak_pricing falls back to the standard rate, so a block without
+    output_cost_per_reasoning_token keeps the model's own reasoning rate, or its off-peak output
+    rate when reasoning has no dedicated rate at all.
     """
-    off_peak: Final = model_info.get("off_peak_pricing")
-    if not isinstance(off_peak, Mapping) or not _is_off_peak(off_peak, current_time):
-        return prompt_base_cost, completion_base_cost, cache_read_cost
-    return (
-        _coerce_off_peak_rate(off_peak.get("input_cost_per_token"), prompt_base_cost),
-        _coerce_off_peak_rate(off_peak.get("output_cost_per_token"), completion_base_cost),
-        _coerce_off_peak_rate(off_peak.get("cache_read_input_token_cost"), cache_read_cost),
+    off_peak: Final = _open_off_peak_block(model_info, current_time)
+    if off_peak is None:
+        return rates
+    off_peak_reasoning_rate: Final = _parse_off_peak_rate(off_peak.get("output_cost_per_reasoning_token"))
+    return TokenRates(
+        input_rate=_off_peak_rate(off_peak, "input_cost_per_token", rates.input_rate),
+        output_rate=_off_peak_rate(off_peak, "output_cost_per_token", rates.output_rate),
+        cache_read_rate=_off_peak_rate(off_peak, "cache_read_input_token_cost", rates.cache_read_rate),
+        cache_creation_rate=_off_peak_rate(off_peak, "cache_creation_input_token_cost", rates.cache_creation_rate),
+        reasoning_rate=rates.reasoning_rate if off_peak_reasoning_rate is None else off_peak_reasoning_rate,
     )
 
 
@@ -458,14 +482,28 @@ def _apply_off_peak_to_base_costs(
     base_costs: tuple[float, float, float, float, float],
 ) -> tuple[float, float, float, float, float]:
     """Apply off-peak rates to an already-resolved set of base costs, whichever pricing path
-    produced them. Cache-creation rates are passed through untouched, since off_peak_pricing
-    has no field for them.
+    produced them. The one-hour cache-creation rate passes through untouched, since
+    off_peak_pricing has no field for it, and reasoning is left to _resolve_billed_reasoning_rate.
     """
     prompt, completion, cache_creation, cache_creation_above_1hr, cache_read = base_costs
-    off_peak_prompt, off_peak_completion, off_peak_cache_read = apply_off_peak_pricing(
-        model_info, current_time, prompt, completion, cache_read
+    rates: Final = apply_off_peak_pricing(
+        model_info,
+        current_time,
+        TokenRates(
+            input_rate=prompt,
+            output_rate=completion,
+            cache_read_rate=cache_read,
+            cache_creation_rate=cache_creation,
+            reasoning_rate=None,
+        ),
+    )
+    return (
+        rates.input_rate,
+        rates.output_rate,
+        rates.cache_creation_rate,
+        cache_creation_above_1hr,
+        rates.cache_read_rate,
     )
-    return (off_peak_prompt, off_peak_completion, cache_creation, cache_creation_above_1hr, off_peak_cache_read)
 
 
 def _get_token_base_cost(
@@ -1029,6 +1067,29 @@ def _resolve_reasoning_token_cost(
     return standard_reasoning_cost if standard_reasoning_cost is not None else completion_base_cost
 
 
+def _resolve_billed_reasoning_rate(
+    model_info: ModelInfo,
+    usage: Usage,
+    service_tier: str | None,
+    completion_base_cost: float,
+    current_time: datetime | None,
+) -> float:
+    off_peak: Final = _open_off_peak_block(model_info, current_time)
+    off_peak_reasoning_rate: Final = (
+        None if off_peak is None else _parse_off_peak_rate(off_peak.get("output_cost_per_reasoning_token"))
+    )
+    if off_peak_reasoning_rate is not None:
+        return off_peak_reasoning_rate
+    tiered_reasoning_rate: Final = _get_tiered_reasoning_rate(model_info=model_info, usage=usage)
+    if tiered_reasoning_rate is not None:
+        return tiered_reasoning_rate
+    return _resolve_reasoning_token_cost(
+        model_info=model_info,
+        service_tier=service_tier,
+        completion_base_cost=completion_base_cost,
+    )
+
+
 def generic_cost_per_token(
     model: str,
     usage: Usage,
@@ -1037,6 +1098,7 @@ def generic_cost_per_token(
     data_residency: str | None = None,
     model_info: ModelInfo | None = None,
     vertex_location: str | None = None,
+    current_time: datetime | None = None,
 ) -> tuple[float, float]:
     """
     Calculates the cost per token for a given model, prompt tokens, and completion tokens.
@@ -1051,6 +1113,7 @@ def generic_cost_per_token(
         - vertex_location: optional Vertex AI location the request was served from
           (e.g. "us-east5", "global"), used to apply the per-model
           regional-endpoint uplift multiplier when non-global.
+        - current_time: the moment the request is billed at, for off_peak_pricing; defaults to now, UTC
 
     Returns:
         Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
@@ -1117,6 +1180,7 @@ def generic_cost_per_token(
             usage.prompt_tokens - cache_hit - audio_tokens - cache_creation - image_tokens - video_tokens, 0
         )
 
+    billing_time: Final = current_time if current_time is not None else datetime.now(timezone.utc)
     (
         prompt_base_cost,
         completion_base_cost,
@@ -1127,6 +1191,7 @@ def generic_cost_per_token(
         model_info=model_info,
         usage=usage,
         service_tier=service_tier,
+        current_time=billing_time,
         threshold_is_inclusive=_uses_inclusive_token_thresholds(custom_llm_provider),
     )
 
@@ -1185,17 +1250,13 @@ def generic_cost_per_token(
 
     ## REASONING COST
     if not is_text_tokens_total and reasoning_tokens and reasoning_tokens > 0:
-        tiered_reasoning_rate: Final = _get_tiered_reasoning_rate(model_info=model_info, usage=usage)
-        _output_cost_per_reasoning_token = (
-            tiered_reasoning_rate
-            if tiered_reasoning_rate is not None
-            else _resolve_reasoning_token_cost(
-                model_info=model_info,
-                service_tier=service_tier,
-                completion_base_cost=completion_base_cost,
-            )
+        completion_cost += float(reasoning_tokens) * _resolve_billed_reasoning_rate(
+            model_info=model_info,
+            usage=usage,
+            service_tier=service_tier,
+            completion_base_cost=completion_base_cost,
+            current_time=billing_time,
         )
-        completion_cost += float(reasoning_tokens) * _output_cost_per_reasoning_token
 
     ## IMAGE COST
     if not is_text_tokens_total and image_tokens and image_tokens > 0:
@@ -1247,6 +1308,7 @@ def get_token_type_cost_breakdown(
     service_tier: str | None = None,
     data_residency: str | None = None,
     vertex_location: str | None = None,
+    current_time: datetime | None = None,
 ) -> TokenTypeCostBreakdown:
     """
     Provider-agnostic cost of reasoning and cache tokens, derived from the usage
@@ -1265,6 +1327,7 @@ def get_token_type_cost_breakdown(
     except Exception:
         return TokenTypeCostBreakdown(0.0, 0.0, 0.0)
 
+    billing_time: Final = current_time if current_time is not None else datetime.now(timezone.utc)
     (
         _prompt_base_cost,
         completion_base_cost,
@@ -1275,6 +1338,7 @@ def get_token_type_cost_breakdown(
         model_info=model_info,
         usage=usage,
         service_tier=service_tier,
+        current_time=billing_time,
         threshold_is_inclusive=_uses_inclusive_token_thresholds(custom_llm_provider),
     )
 
@@ -1284,18 +1348,12 @@ def get_token_type_cost_breakdown(
     if not reasoning_tokens:
         reasoning_tokens = _coerce_token_count(getattr(usage, "reasoning_tokens", 0))
 
-    # Reasoning is billed at the selected tier's reasoning rate for tiered models,
-    # else at the service-tier-aware per-reasoning-token rate - this mirrors how the
-    # total completion cost is computed, so the breakdown can never diverge from it.
-    tiered_reasoning_rate: Final = _get_tiered_reasoning_rate(model_info=model_info, usage=usage)
-    reasoning_rate: Final = (
-        tiered_reasoning_rate
-        if tiered_reasoning_rate is not None
-        else _resolve_reasoning_token_cost(
-            model_info=model_info,
-            service_tier=service_tier,
-            completion_base_cost=completion_base_cost,
-        )
+    reasoning_rate: Final = _resolve_billed_reasoning_rate(
+        model_info=model_info,
+        usage=usage,
+        service_tier=service_tier,
+        completion_base_cost=completion_base_cost,
+        current_time=billing_time,
     )
     reasoning_cost = float(reasoning_tokens) * reasoning_rate
 

litellm/llms/dashscope/cost_calculator.py

@@ -7,12 +7,13 @@ cached, cache-creation, output, reasoning) is billed at that one tier's rate.
 See https://help.aliyun.com/zh/model-studio/billing-for-model-studio
 """
 
-from dataclasses import dataclass, replace
+from dataclasses import dataclass
 from datetime import datetime
 from typing import Final
 
 from litellm.litellm_core_utils.llm_cost_calc.tiered_pricing import select_tier_for_input, tier_rate
 from litellm.litellm_core_utils.llm_cost_calc.utils import (
+    TokenRates,
     apply_off_peak_pricing,
     parse_completion_tokens_details,
     parse_prompt_tokens_details,
@@ -34,19 +35,6 @@ class TokenBreakdown:
         return self.text_tokens + self.cached_tokens + self.cache_creation_tokens
 
 
-@dataclass(frozen=True, slots=True)
-class TokenRates:
-    input_rate: float
-    cache_read_rate: float
-    cache_creation_rate: float
-    output_rate: float
-    reasoning_rate: float | None
-
-    @property
-    def billed_reasoning_rate(self) -> float:
-        return self.output_rate if self.reasoning_rate is None else self.reasoning_rate
-
-
 def _extract_token_breakdown(usage: Usage) -> TokenBreakdown:
     prompt_details: Final = parse_prompt_tokens_details(usage)
     cached_tokens: Final = prompt_details["cache_hit_tokens"]
@@ -105,13 +93,6 @@ def _tier_rates(model_info: ModelInfo, tier: dict) -> TokenRates:
     )
 
 
-def _off_peak_rates(model_info: ModelInfo, current_time: datetime | None, rates: TokenRates) -> TokenRates:
-    input_rate, output_rate, cache_read_rate = apply_off_peak_pricing(
-        model_info, current_time, rates.input_rate, rates.output_rate, rates.cache_read_rate
-    )
-    return replace(rates, input_rate=input_rate, output_rate=output_rate, cache_read_rate=cache_read_rate)
-
-
 def _bill(breakdown: TokenBreakdown, rates: TokenRates) -> tuple[float, float]:
     prompt_cost: Final = (
         (breakdown.text_tokens * rates.input_rate)
@@ -155,6 +136,6 @@ def cost_per_token(
         else None
     )
     standard_rates: Final = _flat_rates(model_info) if tier is None else _tier_rates(model_info, tier)
-    rates: Final = _off_peak_rates(model_info, current_time, standard_rates)
+    rates: Final = apply_off_peak_pricing(model_info, current_time, standard_rates)
 
     return _bill(breakdown, rates)

litellm/llms/openai/workload_identity.py

@@ -8,7 +8,7 @@ from urllib.parse import urlparse
 import litellm
 from litellm.secret_managers.main import get_secret_str, normalize_nonempty_secret_str
 
-from .common_utils import OpenAIError
+from .common_utils import OpenAIError, is_openai_backed_api_base
 
 if TYPE_CHECKING:
     from collections.abc import Callable
@@ -16,7 +16,6 @@ if TYPE_CHECKING:
     from openai.auth import SubjectTokenProvider, WorkloadIdentity, WorkloadIdentityAuth
 
 OPENAI_WIF_CLIENT_ID: Final = "litellm"
-_OPENAI_API_HOST: Final = "api.openai.com"
 _SDK_UPGRADE_MESSAGE: Final = (
     "OpenAI workload identity federation requires openai>=2.32.0. "
     "Upgrade the installed openai package to use OPENAI_IDENTITY_PROVIDER_ID / "
@@ -75,7 +74,7 @@ def _targets_openai_api(api_base: str | None) -> bool:
     if api_base is None:
         return True
     parsed: Final = urlparse(api_base)
-    return parsed.scheme == "https" and parsed.hostname == _OPENAI_API_HOST
+    return parsed.scheme == "https" and is_openai_backed_api_base(api_base)
 
 
 @lru_cache(maxsize=16)

litellm/proxy/management_endpoints/key_management_endpoints.py

@@ -147,6 +147,7 @@ from litellm.types.proxy.management_endpoints.key_management_endpoints import (
     BulkUpdateKeyResponse,
     BulkUpdateTeamKeysRequest,
     FailedKeyUpdate,
+    KeySearchWhere,
     SuccessfulKeyUpdate,
 )
 from litellm.types.router import Deployment
@@ -5800,6 +5801,10 @@ async def list_keys(
         None,
         description="Filter keys by key alias. Exact match by default; set substring_matching=true (admin only) for case-insensitive substring matching.",
     ),
+    search: str | None = Query(
+        None,
+        description="Combined search: matches keys whose token (key hash) equals the value OR whose key_alias contains it (case-insensitive).",
+    ),
     return_full_object: bool = Query(False, description="Return full key object"),
     include_team_keys: bool = Query(False, description="Include all keys for teams that user is an admin of."),
     include_created_by_keys: bool = Query(False, description="Include keys created by the user"),
@@ -5943,6 +5948,7 @@ async def list_keys(
             agent_id=agent_id,
             use_substring_matching=use_substring_matching,
             expires_filter=expires if isinstance(expires, str) else None,
+            search=search,
         )
 
         verbose_proxy_logger.debug("Successfully prepared response")
@@ -6162,6 +6168,16 @@ def _build_expires_where_clause(expires_filter: str, now: datetime) -> dict[str,
     return {"OR": [{"expires": None}, {"expires": {"gte": now}}]}
 
 
+def _build_key_search_where(search: str) -> KeySearchWhere:
+    search_where: Final[KeySearchWhere] = {
+        "OR": (
+            {"token": search},
+            {"key_alias": {"contains": search, "mode": "insensitive"}},
+        )
+    }
+    return search_where
+
+
 def _build_key_filter_conditions(
     user_id: str | None,
     team_id: str | None,
@@ -6177,6 +6193,7 @@ def _build_key_filter_conditions(
     agent_id: str | None = None,
     use_substring_matching: bool = False,
     expires_filter: str | None = None,
+    search: str | None = None,
 ) -> Mapping[str, object]:
     """Build filter conditions for key listing.
 
@@ -6266,7 +6283,7 @@ def _build_key_filter_conditions(
 
     # Apply team_id, project_id and access_group_id as global AND filters so they
     # narrow results across all visibility conditions (own keys, team keys, etc.)
-    global_filters: Final[tuple[dict[str, object], ...]] = (
+    global_filters: Final[tuple[Mapping[str, object], ...]] = (
         *(
             (
                 {"key_alias": {"contains": key_alias, "mode": "insensitive"}}
@@ -6277,6 +6294,7 @@ def _build_key_filter_conditions(
             else ()
         ),
         *(({"token": key_hash},) if key_hash and isinstance(key_hash, str) else ()),
+        *((_build_key_search_where(search),) if isinstance(search, str) and search else ()),
         *(({"team_id": team_id},) if team_id and isinstance(team_id, str) else ()),
         *(({"project_id": project_id},) if project_id else ()),
         *(({"access_group_ids": {"hasSome": [access_group_id]}},) if access_group_id else ()),
@@ -6316,6 +6334,7 @@ async def _list_key_helper(
     agent_id: str | None = None,
     use_substring_matching: bool = False,
     expires_filter: str | None = None,
+    search: str | None = None,
 ) -> KeyListResponseObject:
     """
     Helper function to list keys
@@ -6354,6 +6373,7 @@ async def _list_key_helper(
         agent_id=agent_id,
         use_substring_matching=use_substring_matching,
         expires_filter=expires_filter,
+        search=search,
     )
 
     # Calculate skip for pagination

litellm/proxy/memory/memory_endpoints.py

@@ -22,6 +22,7 @@ from collections.abc import Mapping
 from typing import TYPE_CHECKING, Final
 
 from fastapi import APIRouter, Depends, HTTPException, Query
+from typing_extensions import ReadOnly, TypedDict
 
 from litellm._logging import verbose_proxy_logger
 from litellm.proxy._types import (
@@ -91,6 +92,36 @@ def _visibility_filter(user_api_key_dict: UserAPIKeyAuth) -> Mapping[str, object
     return {"OR": ors}
 
 
+class _StartsWith(TypedDict):
+    startsWith: ReadOnly[str]
+
+
+class _MemoryKeyWhere(TypedDict):
+    key: ReadOnly[str | _StartsWith]
+
+
+class _MemoryIdWhere(TypedDict):
+    memory_id: ReadOnly[str]
+
+
+class _MemorySearchWhere(TypedDict):
+    OR: ReadOnly[tuple[_MemoryKeyWhere, _MemoryIdWhere]]
+
+
+def _key_filter(search: str | None, key_prefix: str | None, key: str | None) -> Mapping[str, object] | None:
+    """`search` matches a key prefix or an exact memory_id; otherwise `key_prefix` wins over `key`."""
+    if search is not None:
+        search_where: Final[_MemorySearchWhere] = {"OR": ({"key": {"startsWith": search}}, {"memory_id": search})}
+        return search_where
+    if key_prefix is not None:
+        prefix_where: Final[_MemoryKeyWhere] = {"key": {"startsWith": key_prefix}}
+        return prefix_where
+    if key is not None:
+        exact_where: Final[_MemoryKeyWhere] = {"key": key}
+        return exact_where
+    return None
+
+
 def _row_to_model(row: "prisma_models.LiteLLM_MemoryTable") -> LiteLLM_MemoryRow:
     return LiteLLM_MemoryRow(
         memory_id=row.memory_id,
@@ -326,6 +357,13 @@ async def list_memory(
             "Mutually exclusive with `key`; if both are provided, `key_prefix` wins."
         ),
     ),
+    search: str | None = Query(
+        None,
+        description=(
+            "Match entries whose key starts with this value or whose memory_id equals it. "
+            "Takes precedence over `key_prefix` and `key` when provided."
+        ),
+    ),
     page: int = Query(1, ge=1),
     page_size: int = Query(50, ge=1, le=500),
     user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
@@ -333,22 +371,16 @@ async def list_memory(
     """List memory entries visible to the caller."""
     prisma_client: Final = _require_prisma()
 
-    # Build the key filter first (prefix wins if both `key` and `key_prefix`
-    # are passed). Then AND it with the visibility filter via an explicit
-    # top-level "AND" — safer than `dict.update` since future visibility
-    # filters could grow an "OR" key that would clobber this one if merged
-    # by key.
-    key_filter: Final[dict[str, object]] = {}
-    if key_prefix is not None:
-        key_filter["key"] = {"startsWith": key_prefix}
-    elif key is not None:
-        key_filter["key"] = key
+    # AND the key filter with the visibility filter via an explicit top-level
+    # "AND": both sides can carry an "OR" key (`search`, non-admin visibility),
+    # so merging them by key would let one clobber the other and leak rows.
+    key_filter: Final = _key_filter(search=search, key_prefix=key_prefix, key=key)
 
     vis: Final = _visibility_filter(user_api_key_dict)
-    where: Mapping[str, object]
+    where: Mapping[str, object] | None
     if vis is None:
         where = key_filter
-    elif not key_filter:
+    elif key_filter is None:
         where = vis
     else:
         where = {"AND": [key_filter, vis]}

litellm/proxy/spend_tracking/spend_management_endpoints.py

@@ -2229,6 +2229,31 @@ async def calculate_spend(request: SpendCalculateRequest):
         )
 
 
+class _SpendLogSearchCondition(NamedTuple):
+    sql: str
+    params: tuple[object, ...]
+
+
+def _build_spend_log_search_condition(
+    search: str,
+    start_date: datetime,
+    end_date: datetime,
+    next_param_index: int,
+) -> _SpendLogSearchCondition:
+    """request_id (indexed) matches across all time; the unindexed id columns only inside the window."""
+    raw: Final = f"${next_param_index}"
+    window_start: Final = f"${next_param_index + 1}"
+    window_end: Final = f"${next_param_index + 2}"
+    sql: Final = (
+        f"(request_id = {raw} OR ("
+        f"\"startTime\" >= ({window_start}::timestamptz AT TIME ZONE 'UTC') "
+        f"AND \"startTime\" <= ({window_end}::timestamptz AT TIME ZONE 'UTC') "
+        f'AND (api_key = {raw} OR team_id = {raw} OR "user" = {raw} OR end_user = {raw} '
+        f"OR session_id = {raw} OR model_id = {raw})))"
+    )
+    return _SpendLogSearchCondition(sql=sql, params=(search, start_date, end_date))
+
+
 @router.get(
     "/spend/logs/v2",
     tags=["Budget & Spend Tracking"],
@@ -2329,6 +2354,14 @@ async def ui_view_spend_logs(
             "UI route only, honored when sorting by startTime"
         ),
     ),
+    search: str | None = fastapi.Query(
+        default=None,
+        description=(
+            "Match a log whose request_id, api_key (hash), team_id, user, end_user, "
+            "session_id, or model_id equals this value. request_id matches across all time; the other columns "
+            "match inside start_date/end_date, which stay required"
+        ),
+    ),
 ):
     """
     View spend logs with pagination support.
@@ -2392,8 +2425,10 @@ async def ui_view_spend_logs(
     try:
         is_admin_view: Final = _is_admin_view_safe(user_api_key_dict=user_api_key_dict)
         is_request_id_lookup: Final = request_id is not None and not is_v2
+        is_search_lookup: Final = search is not None
+        search_owns_window: Final = is_search_lookup and not is_v2
 
-        if is_request_id_lookup:
+        if is_request_id_lookup and not is_search_lookup:
             # request_id is the @id primary key: it identifies a single row, so a
             # time window is meaningless. The dashboard always sends a default 24h
             # window, which hid ids copied from an older page (LIT-3981). Drop the
@@ -2576,7 +2611,7 @@ async def ui_view_spend_logs(
         # Date range. Wrap the param side with `AT TIME ZONE 'UTC'` so comparison
         # against the plain `timestamp` column does not depend on the DB session
         # timezone (see #22529). Absent for a request_id-only lookup (see above).
-        if start_date_obj is not None and end_date_obj is not None:
+        if start_date_obj is not None and end_date_obj is not None and not search_owns_window:
             sql_conditions.append(f"\"startTime\" >= (${p}::timestamptz AT TIME ZONE 'UTC')")
             sql_params.append(start_date_obj)
             p += 1
@@ -2584,6 +2619,17 @@ async def ui_view_spend_logs(
             sql_params.append(end_date_obj)
             p += 1
 
+        if search is not None and start_date_obj is not None and end_date_obj is not None:
+            search_condition: Final = _build_spend_log_search_condition(
+                search=search,
+                start_date=start_date_obj,
+                end_date=end_date_obj,
+                next_param_index=p,
+            )
+            sql_conditions.append(search_condition.sql)
+            sql_params.extend(search_condition.params)
+            p += len(search_condition.params)  # rebind-ok: advances the file's shared $N placeholder counter
+
         # Equality filters - read effective values from where_conditions (post-authorization)
         for sql_col, wc_key in [
             ("team_id", "team_id"),
@@ -2662,7 +2708,13 @@ async def ui_view_spend_logs(
             sql_params.append(f"%{error_message}%")
             p += 1
 
-        if group_by_session is True and not is_v2 and not is_request_id_lookup and sort_by == "startTime":
+        if (
+            group_by_session is True
+            and not is_v2
+            and not is_request_id_lookup
+            and not is_search_lookup
+            and sort_by == "startTime"
+        ):
             return await _ui_session_grouped_spend_logs(
                 prisma_client=prisma_client,
                 sql_conditions=sql_conditions,
@@ -2696,7 +2748,7 @@ async def ui_view_spend_logs(
             _order_expr = order_column
 
         joined_conditions: Final = " AND ".join(sql_conditions)
-        session_grouping: Final = group_by_session is True
+        session_grouping: Final = group_by_session is True and not is_search_lookup
         count_group_clause: Final = f"GROUP BY {_SESSION_GROUP_KEY_SQL}" if session_grouping else ""
         count_query: Final = f"""
             SELECT COUNT(*) AS total_count

litellm/types/proxy/management_endpoints/key_management_endpoints.py

@@ -2,6 +2,23 @@ from datetime import datetime
 from typing import Any, Final, Literal
 
 from pydantic import BaseModel, ConfigDict, model_validator
+from typing_extensions import ReadOnly, TypedDict
+
+from litellm.types.proxy.management_endpoints.internal_user_endpoints import InsensitiveContains
+
+
+class KeyTokenWhere(TypedDict):
+    token: ReadOnly[str]
+
+
+class KeyAliasContainsWhere(TypedDict):
+    key_alias: ReadOnly[InsensitiveContains]
+
+
+class KeySearchWhere(TypedDict):
+    """Prisma filter behind `/key/list?search=`: exact token or case-insensitive alias substring."""
+
+    OR: ReadOnly[tuple[KeyTokenWhere, KeyAliasContainsWhere]]
 
 
 class BulkUpdateKeyRequestItem(BaseModel):

litellm/types/utils.py

@@ -222,7 +222,9 @@ class OffPeakPricing(TypedDict, total=False):
     weekday_timezone: ReadOnly[str]
     input_cost_per_token: ReadOnly[float]
     output_cost_per_token: ReadOnly[float]
+    output_cost_per_reasoning_token: ReadOnly[float]
     cache_read_input_token_cost: ReadOnly[float]
+    cache_creation_input_token_cost: ReadOnly[float]
 
 
 class ModelInfoBase(ProviderSpecificModelInfo, total=False):

tests/enterprise/litellm_enterprise/proxy/test_audit_logging_endpoints.py

@@ -1,5 +1,6 @@
 from datetime import datetime, timedelta
-from unittest.mock import AsyncMock, patch
+from typing import Final
+from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
 from fastapi import FastAPI
@@ -8,10 +9,12 @@ from litellm_enterprise.proxy.audit_logging_endpoints import router as audit_rou
 from litellm_enterprise.types.proxy.audit_logging_endpoints import AuditLogResponse
 
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
 
 # Create an app with just the audit router for testing
 app = FastAPI()
 app.include_router(audit_router)
+app.dependency_overrides[user_api_key_auth] = lambda: UserAPIKeyAuth(user_role="proxy_admin")
 client = TestClient(app)
 
 # Mock data for testing
@@ -130,3 +133,45 @@ async def test_get_audit_log_by_id_not_found(mock_prisma_client):
         data = response.json()
         assert "message" in data["detail"]
         assert "not found" in data["detail"]["message"].lower()
+
+
+def _list_audit_logs_where(mock_prisma_client: MagicMock, query: str) -> dict[str, object]:
+    mock_prisma_client.db.litellm_auditlog.find_many.return_value = []
+    mock_prisma_client.db.litellm_auditlog.count.return_value = 0
+
+    response: Final = client.get(f"/audit?{query}")
+
+    assert response.status_code == 200, response.text
+    find_many_where: Final = mock_prisma_client.db.litellm_auditlog.find_many.call_args.kwargs["where"]
+    assert mock_prisma_client.db.litellm_auditlog.count.call_args.kwargs["where"] == find_many_where
+    return find_many_where
+
+
+def test_search_matches_any_id_column_alongside_the_other_filters(mock_prisma_client):
+    where: Final = _list_audit_logs_where(mock_prisma_client, "search=abc-123&action=create&object_team_id=team-1")
+
+    assert where == {
+        "action": "create",
+        "AND": (
+            {
+                "OR": [
+                    {"before_value": {"path": ["team_id"], "string_contains": "team-1"}},
+                    {"updated_values": {"path": ["team_id"], "string_contains": "team-1"}},
+                ]
+            },
+            {
+                "OR": (
+                    {"id": "abc-123"},
+                    {"changed_by": "abc-123"},
+                    {"object_id": "abc-123"},
+                    {"changed_by_api_key": "abc-123"},
+                )
+            },
+        ),
+    }
+
+
+def test_an_empty_search_leaves_the_where_clause_unchanged(mock_prisma_client):
+    where: Final = _list_audit_logs_where(mock_prisma_client, "action=create&search=")
+
+    assert where == {"action": "create"}

tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py

@@ -29,11 +29,13 @@ from litellm.types.utils import (
 from litellm.litellm_core_utils.llm_cost_calc.utils import (
     CostCalculatorUtils,
     PromptTokensDetailsResult,
+    TokenRates,
     TokenTypeCostBreakdown,
     _calculate_input_cost,
     _get_token_base_cost,
     _is_off_peak,
     _is_within_off_peak_window,
+    apply_off_peak_pricing,
     calculate_cache_writing_cost,
     generic_cost_per_token,
     get_token_type_cost_breakdown,
@@ -782,6 +784,258 @@ def test_get_token_base_cost_off_peak_wins_over_tiered_pricing():
     assert outside[:2] == (3e-6, 6e-6)
 
 
+def _register_off_peak_reasoning_model(
+    model_name: str, off_peak_pricing: dict, reasoning_rate: float | None = 4e-6, **service_tier_rates: float
+) -> None:
+    reasoning_entry = {} if reasoning_rate is None else {"output_cost_per_reasoning_token": reasoning_rate}
+    litellm.register_model(
+        {
+            model_name: {
+                "litellm_provider": "openai",
+                "mode": "chat",
+                "input_cost_per_token": 1e-6,
+                "output_cost_per_token": 2e-6,
+                "cache_read_input_token_cost": 1e-7,
+                "cache_creation_input_token_cost": 1.25e-6,
+                "off_peak_pricing": off_peak_pricing,
+                **reasoning_entry,
+                **service_tier_rates,
+            }
+        }
+    )
+
+
+def _off_peak_reasoning_usage() -> Usage:
+    return Usage(
+        prompt_tokens=100,
+        completion_tokens=80,
+        total_tokens=180,
+        completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=30, text_tokens=50),
+    )
+
+
+def test_generic_cost_per_token_off_peak_reasoning_rate():
+    from datetime import datetime, timezone
+
+    model_name = "litellm-test-off-peak-reasoning"
+    _register_off_peak_reasoning_model(
+        model_name,
+        {"hours_utc": "16:30-00:30", "output_cost_per_token": 1e-6, "output_cost_per_reasoning_token": 5e-7},
+    )
+
+    _, inside = generic_cost_per_token(
+        model=model_name,
+        usage=_off_peak_reasoning_usage(),
+        custom_llm_provider="openai",
+        current_time=datetime(2026, 1, 1, 18, 0, tzinfo=timezone.utc),
+    )
+    assert inside == pytest.approx(50 * 1e-6 + 30 * 5e-7)
+
+    _, outside = generic_cost_per_token(
+        model=model_name,
+        usage=_off_peak_reasoning_usage(),
+        custom_llm_provider="openai",
+        current_time=datetime(2026, 1, 1, 12, 0, tzinfo=timezone.utc),
+    )
+    assert outside == pytest.approx(50 * 2e-6 + 30 * 4e-6)
+
+
+def test_generic_cost_per_token_off_peak_block_without_reasoning_rate():
+    from datetime import datetime, timezone
+
+    inside_window = datetime(2026, 1, 1, 18, 0, tzinfo=timezone.utc)
+    block = {"hours_utc": "16:30-00:30", "output_cost_per_token": 1e-6}
+
+    _register_off_peak_reasoning_model("litellm-test-off-peak-model-reasoning-rate", block)
+    _, with_model_rate = generic_cost_per_token(
+        model="litellm-test-off-peak-model-reasoning-rate",
+        usage=_off_peak_reasoning_usage(),
+        custom_llm_provider="openai",
+        current_time=inside_window,
+    )
+    assert with_model_rate == pytest.approx(50 * 1e-6 + 30 * 4e-6)
+
+    _register_off_peak_reasoning_model("litellm-test-off-peak-no-reasoning-rate", block, reasoning_rate=None)
+    _, without_model_rate = generic_cost_per_token(
+        model="litellm-test-off-peak-no-reasoning-rate",
+        usage=_off_peak_reasoning_usage(),
+        custom_llm_provider="openai",
+        current_time=inside_window,
+    )
+    assert without_model_rate == pytest.approx(80 * 1e-6)
+
+
+def test_generic_cost_per_token_off_peak_reasoning_rate_wins_over_the_tier():
+    from datetime import datetime, timezone
+
+    model_name = "litellm-test-off-peak-tiered-reasoning"
+    litellm.register_model(
+        {
+            model_name: {
+                "litellm_provider": "openai",
+                "mode": "chat",
+                "tiered_pricing": [
+                    {
+                        "range": [0, 128000],
+                        "input_cost_per_token": 3e-6,
+                        "output_cost_per_token": 6e-6,
+                        "output_cost_per_reasoning_token": 8e-6,
+                    },
+                ],
+                "off_peak_pricing": {
+                    "hours_utc": "16:30-00:30",
+                    "output_cost_per_token": 1e-6,
+                    "output_cost_per_reasoning_token": 5e-7,
+                },
+            }
+        }
+    )
+
+    _, inside = generic_cost_per_token(
+        model=model_name,
+        usage=_off_peak_reasoning_usage(),
+        custom_llm_provider="openai",
+        current_time=datetime(2026, 1, 1, 18, 0, tzinfo=timezone.utc),
+    )
+    assert inside == pytest.approx(50 * 1e-6 + 30 * 5e-7)
+
+    _, outside = generic_cost_per_token(
+        model=model_name,
+        usage=_off_peak_reasoning_usage(),
+        custom_llm_provider="openai",
+        current_time=datetime(2026, 1, 1, 12, 0, tzinfo=timezone.utc),
+    )
+    assert outside == pytest.approx(50 * 6e-6 + 30 * 8e-6)
+
+
+def test_generic_cost_per_token_off_peak_reasoning_rate_wins_over_the_service_tier():
+    from datetime import datetime, timezone
+
+    model_name = "litellm-test-off-peak-reasoning-service-tier"
+    _register_off_peak_reasoning_model(
+        model_name,
+        {"hours_utc": "16:30-00:30", "output_cost_per_token": 1e-6, "output_cost_per_reasoning_token": 5e-7},
+        output_cost_per_token_priority=3e-6,
+        output_cost_per_reasoning_token_priority=6e-6,
+    )
+
+    _, inside = generic_cost_per_token(
+        model=model_name,
+        usage=_off_peak_reasoning_usage(),
+        custom_llm_provider="openai",
+        service_tier="priority",
+        current_time=datetime(2026, 1, 1, 18, 0, tzinfo=timezone.utc),
+    )
+    assert inside == pytest.approx(50 * 1e-6 + 30 * 5e-7)
+
+    _, outside = generic_cost_per_token(
+        model=model_name,
+        usage=_off_peak_reasoning_usage(),
+        custom_llm_provider="openai",
+        service_tier="priority",
+        current_time=datetime(2026, 1, 1, 12, 0, tzinfo=timezone.utc),
+    )
+    assert outside == pytest.approx(50 * 3e-6 + 30 * 6e-6)
+
+
+def test_apply_off_peak_pricing_treats_bool_as_unset_and_parses_strings():
+    from datetime import datetime, timezone
+
+    model_name = "litellm-test-off-peak-odd-values"
+    _register_off_peak_reasoning_model(
+        model_name,
+        {
+            "hours_utc": "16:30-00:30",
+            "cache_creation_input_token_cost": True,
+            "output_cost_per_reasoning_token": "5e-7",
+        },
+    )
+    standard = TokenRates(
+        input_rate=1e-6, output_rate=2e-6, cache_read_rate=1e-7, cache_creation_rate=1.25e-6, reasoning_rate=4e-6
+    )
+
+    rates = apply_off_peak_pricing(
+        litellm.get_model_info(model_name, custom_llm_provider="openai"),
+        datetime(2026, 1, 1, 18, 0, tzinfo=timezone.utc),
+        standard,
+    )
+    assert rates.cache_creation_rate == 1.25e-6
+    assert rates.reasoning_rate == 5e-7
+
+
+def test_get_token_base_cost_off_peak_cache_creation_rate():
+    from datetime import datetime, timezone
+    from typing import cast
+
+    from litellm.types.utils import ModelInfo
+
+    model_info = cast(
+        ModelInfo,
+        {
+            "input_cost_per_token": 1e-6,
+            "output_cost_per_token": 2e-6,
+            "cache_creation_input_token_cost": 1.25e-6,
+            "cache_creation_input_token_cost_above_1hr": 2e-6,
+            "off_peak_pricing": {"hours_utc": "16:30-00:30", "cache_creation_input_token_cost": 5e-7},
+        },
+    )
+    usage = Usage(prompt_tokens=100, completion_tokens=50, total_tokens=150)
+    inside_window = datetime(2026, 1, 1, 18, 0, tzinfo=timezone.utc)
+
+    inside = _get_token_base_cost(model_info, usage, current_time=inside_window)
+    assert inside[2] == 5e-7
+    assert inside[3] == 2e-6
+
+    outside = _get_token_base_cost(model_info, usage, current_time=datetime(2026, 1, 1, 12, 0, tzinfo=timezone.utc))
+    assert outside[2] == 1.25e-6
+
+    without_key = cast(
+        ModelInfo,
+        {**model_info, "off_peak_pricing": {"hours_utc": "16:30-00:30", "input_cost_per_token": 5e-7}},
+    )
+    assert _get_token_base_cost(without_key, usage, current_time=inside_window)[2] == 1.25e-6
+
+
+def test_get_token_type_cost_breakdown_reflects_off_peak_reasoning_and_cache_creation_rates():
+    from datetime import datetime, timezone
+
+    model_name = "litellm-test-off-peak-breakdown"
+    _register_off_peak_reasoning_model(
+        model_name,
+        {
+            "hours_utc": "16:30-00:30",
+            "output_cost_per_reasoning_token": 5e-7,
+            "cache_creation_input_token_cost": 5e-7,
+        },
+    )
+    usage = Usage(
+        prompt_tokens=1000,
+        completion_tokens=80,
+        total_tokens=1080,
+        completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=30, text_tokens=50),
+        prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=100, cache_creation_tokens=400, text_tokens=500),
+    )
+
+    inside = get_token_type_cost_breakdown(
+        model=model_name,
+        custom_llm_provider="openai",
+        usage=usage,
+        current_time=datetime(2026, 1, 1, 18, 0, tzinfo=timezone.utc),
+    )
+    assert inside.reasoning_cost == pytest.approx(30 * 5e-7)
+    assert inside.cache_creation_cost == pytest.approx(400 * 5e-7)
+    assert inside.cache_read_cost == pytest.approx(100 * 1e-7)
+
+    outside = get_token_type_cost_breakdown(
+        model=model_name,
+        custom_llm_provider="openai",
+        usage=usage,
+        current_time=datetime(2026, 1, 1, 12, 0, tzinfo=timezone.utc),
+    )
+    assert outside.reasoning_cost == pytest.approx(30 * 4e-6)
+    assert outside.cache_creation_cost == pytest.approx(400 * 1.25e-6)
+
+
 def test_generic_cost_per_token_gpt54_above_272k_tokens(_local_model_cost_map):
     """GPT-5.4/5.4-pro: prompts >272K input tokens priced at 2x input, 1.5x output."""
     model = "gpt-5.4"

tests/test_litellm/llms/dashscope/test_dashscope_cost_calculator.py

@@ -649,6 +649,90 @@ class TestDashscopeCostCalculator:
 
         assert math.isclose(completion_cost, 200 * 2.4e-06, rel_tol=1e-10)
 
+    def test_dashscope_off_peak_reasoning_rate_replaces_the_dedicated_reasoning_rate(self):
+        self._register_off_peak_flat_model(
+            "dashscope/qwen-reasoning-rate-off-peak-test",
+            {
+                "hours_utc": self.OFF_PEAK_WINDOW,
+                "output_cost_per_token": 2.4e-06,
+                "output_cost_per_reasoning_token": 4.5e-06,
+            },
+        )
+        litellm.model_cost["dashscope/qwen-reasoning-rate-off-peak-test"]["output_cost_per_reasoning_token"] = 9e-06
+        usage = Usage(
+            prompt_tokens=100,
+            completion_tokens=200,
+            completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=50),
+        )
+
+        _, completion_cost = dashscope_cost_per_token(
+            model="qwen-reasoning-rate-off-peak-test", usage=usage, current_time=self.INSIDE_WINDOW
+        )
+        assert math.isclose(completion_cost, (150 * 2.4e-06) + (50 * 4.5e-06), rel_tol=1e-10)
+
+        _, peak_completion_cost = dashscope_cost_per_token(
+            model="qwen-reasoning-rate-off-peak-test", usage=usage, current_time=self.OUTSIDE_WINDOW
+        )
+        assert math.isclose(peak_completion_cost, (150 * 4.8e-06) + (50 * 9e-06), rel_tol=1e-10)
+
+    def test_dashscope_off_peak_cache_creation_rate_replaces_the_standard_rate(self):
+        self._register_off_peak_flat_model(
+            "dashscope/qwen-cache-creation-off-peak-test",
+            {"hours_utc": self.OFF_PEAK_WINDOW, "cache_creation_input_token_cost": 1.5e-06},
+        )
+        usage = Usage(
+            prompt_tokens=1000,
+            completion_tokens=10,
+            prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=300, cache_creation_tokens=100),
+        )
+
+        prompt_cost, _ = dashscope_cost_per_token(
+            model="qwen-cache-creation-off-peak-test", usage=usage, current_time=self.INSIDE_WINDOW
+        )
+        assert math.isclose(prompt_cost, (600 * 2.4e-06) + (300 * 2e-07) + (100 * 1.5e-06), rel_tol=1e-10)
+
+        peak_prompt_cost, _ = dashscope_cost_per_token(
+            model="qwen-cache-creation-off-peak-test", usage=usage, current_time=self.OUTSIDE_WINDOW
+        )
+        assert math.isclose(peak_prompt_cost, (600 * 2.4e-06) + (300 * 2e-07) + (100 * 3e-06), rel_tol=1e-10)
+
+    def test_dashscope_off_peak_reasoning_and_cache_creation_rates_override_the_selected_tier(self):
+        self._register_tiered_model(
+            "dashscope/qwen-tiered-reasoning-off-peak-test",
+            [
+                {
+                    "range": [0, 1000],
+                    "input_cost_per_token": 4e-07,
+                    "cache_creation_input_token_cost": 3e-07,
+                    "output_cost_per_token": 1.6e-06,
+                    "output_cost_per_reasoning_token": 3.2e-06,
+                },
+            ],
+        )
+        litellm.model_cost["dashscope/qwen-tiered-reasoning-off-peak-test"]["off_peak_pricing"] = {
+            "hours_utc": self.OFF_PEAK_WINDOW,
+            "cache_creation_input_token_cost": 1e-07,
+            "output_cost_per_reasoning_token": 8e-07,
+        }
+        usage = Usage(
+            prompt_tokens=500,
+            completion_tokens=100,
+            prompt_tokens_details=PromptTokensDetailsWrapper(cache_creation_tokens=200),
+            completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=40),
+        )
+
+        prompt_cost, completion_cost = dashscope_cost_per_token(
+            model="qwen-tiered-reasoning-off-peak-test", usage=usage, current_time=self.INSIDE_WINDOW
+        )
+        assert math.isclose(prompt_cost, (300 * 4e-07) + (200 * 1e-07), rel_tol=1e-10)
+        assert math.isclose(completion_cost, (60 * 1.6e-06) + (40 * 8e-07), rel_tol=1e-10)
+
+        peak_prompt_cost, peak_completion_cost = dashscope_cost_per_token(
+            model="qwen-tiered-reasoning-off-peak-test", usage=usage, current_time=self.OUTSIDE_WINDOW
+        )
+        assert math.isclose(peak_prompt_cost, (300 * 4e-07) + (200 * 3e-07), rel_tol=1e-10)
+        assert math.isclose(peak_completion_cost, (60 * 1.6e-06) + (40 * 3.2e-06), rel_tol=1e-10)
+
     def test_dashscope_off_peak_defaults_to_the_current_time(self):
         """The proxy's cost dispatch passes no clock, so an all-day window has to apply on the
         default current time."""

tests/test_litellm/llms/openai/test_openai_workload_identity.py

@@ -85,6 +85,31 @@ class TestResolveConfig:
     def test_plaintext_http_api_base_disables(self, wif_env: OpenAIWorkloadIdentityConfig) -> None:
         assert resolve_openai_workload_identity_config(api_key=None, api_base="http://api.openai.com/v1") is None
 
+    @pytest.mark.parametrize(
+        "api_base",
+        (
+            "https://southcentralus.privatelink.api.openai.com/v1",
+            "https://eu.api.openai.com/v1",
+            "https://us.api.openai.com/v1",
+        ),
+    )
+    def test_openai_backed_api_base_allows(self, wif_env: OpenAIWorkloadIdentityConfig, api_base: str) -> None:
+        assert resolve_openai_workload_identity_config(api_key=None, api_base=api_base) == wif_env
+
+    @pytest.mark.parametrize(
+        "api_base",
+        (
+            "https://api.openai.com.evil.example/v1",
+            "https://openai.com/v1",
+            "https://euapi.openai.com/v1",
+            "http://southcentralus.privatelink.api.openai.com/v1",
+        ),
+    )
+    def test_lookalike_or_plaintext_api_base_disables(
+        self, wif_env: OpenAIWorkloadIdentityConfig, api_base: str
+    ) -> None:
+        assert resolve_openai_workload_identity_config(api_key=None, api_base=api_base) is None
+
     def test_foreign_env_base_url_disables(
         self, wif_env: OpenAIWorkloadIdentityConfig, monkeypatch: pytest.MonkeyPatch
     ) -> None:
@@ -158,6 +183,14 @@ class TestClientConstruction:
         assert client.api_key == "workload-identity-auth"
         assert client._workload_identity_auth is not None
 
+    def test_privatelink_client_uses_workload_identity(self, wif_env: OpenAIWorkloadIdentityConfig) -> None:
+        client: Final = OpenAIChatCompletion()._get_openai_client(
+            is_async=False, api_key=None, api_base="https://southcentralus.privatelink.api.openai.com/v1"
+        )
+        assert isinstance(client, OpenAI)
+        assert client.api_key == "workload-identity-auth"
+        assert client._workload_identity_auth is not None
+
     def test_static_key_client_unaffected(self, wif_env: OpenAIWorkloadIdentityConfig) -> None:
         client: Final = OpenAIChatCompletion()._get_openai_client(is_async=False, api_key="sk-static", api_base=None)
         assert isinstance(client, OpenAI)
@@ -231,6 +264,16 @@ class TestResponsesValidateEnvironment:
         )
         assert headers["Authorization"] == "Bearer None"
 
+    @respx.mock
+    def test_privatelink_api_base_mints_bearer(self, wif_env: OpenAIWorkloadIdentityConfig) -> None:
+        mock_token_exchange()
+        headers: Final = OpenAIResponsesAPIConfig().validate_environment(
+            headers={},
+            model="gpt-4o-mini",
+            litellm_params=GenericLiteLLMParams(api_base="https://southcentralus.privatelink.api.openai.com/v1"),
+        )
+        assert headers["Authorization"] == "Bearer exchanged-bearer-token"
+
     def test_litellm_proxy_subclass_never_mints_wif(self, wif_env: OpenAIWorkloadIdentityConfig) -> None:
         headers: Final = LiteLLMProxyResponsesAPIConfig().validate_environment(
             headers={}, model="gpt-4o-mini", litellm_params=GenericLiteLLMParams()

tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py

@@ -6347,6 +6347,93 @@ def test_build_key_filter_conditions_key_hash_narrows_team_admin_visibility():
     assert {"token": "hashed-token-123"} in where["AND"], f"key_hash not ANDed: {where}"
 
 
+def _search_clause(search: str, token: str) -> dict:
+    return {"OR": [{"token": token}, {"key_alias": {"contains": search, "mode": "insensitive"}}]}
+
+
+def test_build_key_filter_conditions_search_ors_token_and_alias_contains():
+    """
+    LIT-4741: `search` matches a key by its alias (case-insensitive contains) OR by
+    its ID (the token column), with the pasted value used verbatim.
+    """
+    from litellm.proxy.management_endpoints.key_management_endpoints import (
+        _build_key_filter_conditions,
+    )
+
+    hashed_where = json.loads(
+        json.dumps(
+            _build_key_filter_conditions(
+                user_id=None,
+                team_id=None,
+                organization_id=None,
+                key_alias=None,
+                key_hash=None,
+                exclude_team_id=None,
+                admin_team_ids=None,
+                search="already-hashed-token",
+            )
+        )
+    )
+    assert _search_clause("already-hashed-token", "already-hashed-token") in hashed_where["AND"], (
+        f"hashed search not used verbatim: {hashed_where}"
+    )
+
+
+def test_build_key_filter_conditions_search_narrows_team_admin_visibility():
+    """
+    LIT-4741, same class as LIT-3243: `search` must be a top-level AND so it
+    narrows a team admin's admin-team branch instead of being bypassed by it.
+    """
+    from litellm.proxy.management_endpoints.key_management_endpoints import (
+        _build_key_filter_conditions,
+    )
+
+    where = json.loads(
+        json.dumps(
+            _build_key_filter_conditions(
+                user_id="team-admin-user",
+                team_id=None,
+                organization_id=None,
+                key_alias=None,
+                key_hash=None,
+                exclude_team_id=None,
+                admin_team_ids=["team-a"],
+                member_team_ids=["team-a"],
+                include_created_by_keys=False,
+                search="member-key-id",
+            )
+        )
+    )
+
+    assert where.get("AND"), f"expected top-level AND, got: {where}"
+    assert _search_clause("member-key-id", "member-key-id") in where["AND"], f"search not ANDed: {where}"
+    assert json.dumps({"team_id": {"in": ["team-a"]}}) in json.dumps(where)
+
+
+@pytest.mark.asyncio
+async def test_list_key_helper_applies_search_to_prisma_where():
+    """LIT-4741: `search` given to _list_key_helper must reach the Prisma where clause."""
+    mock_prisma_client = AsyncMock()
+    mock_find_many = AsyncMock(return_value=[])
+    mock_prisma_client.db.litellm_verificationtoken.find_many = mock_find_many
+    mock_prisma_client.db.litellm_verificationtoken.count = AsyncMock(return_value=0)
+
+    await _list_key_helper(
+        prisma_client=mock_prisma_client,
+        page=1,
+        size=50,
+        user_id=None,
+        team_id=None,
+        organization_id=None,
+        key_alias=None,
+        key_hash=None,
+        search="key-id-123",
+    )
+
+    where = json.loads(json.dumps(mock_find_many.call_args.kwargs["where"]))
+    assert _search_clause("key-id-123", "key-id-123") in where["AND"], f"search not in Prisma where: {where}"
+
+
 @pytest.mark.asyncio
 async def test_generate_key_negative_max_budget():
     """
@@ -14870,6 +14957,16 @@ async def test_list_keys_non_admin_cannot_opt_into_substring():
     assert kwargs["user_id"] == "alice"
 
 
+@pytest.mark.asyncio
+async def test_list_keys_search_is_honored_for_non_admin():
+    """LIT-4741: unlike substring_matching, `search` is not admin-gated. A non-admin's
+    search reaches the helper while their own-user scoping stays in place."""
+    user = UserAPIKeyAuth(user_role=LitellmUserRoles.INTERNAL_USER, user_id="alice")
+    kwargs = await _list_keys_capture_helper_kwargs(user, user_id=None, search="key-id-123")
+    assert kwargs["search"] == "key-id-123"
+    assert kwargs["user_id"] == "alice"
+
+
 @pytest.mark.asyncio
 async def test_cli_session_token_delegation_ceiling_blocked_by_team_budget():
     team = LiteLLM_TeamTableCachedObj(team_id="team-1", max_budget=50.0)

tests/test_litellm/proxy/memory/test_memory_endpoints.py

@@ -615,6 +615,96 @@ class TestMemoryEndpoints:
         assert keys == {"user:profile"}
         assert body["total"] == 1
 
+    def test_list_memory_search_matches_key_prefix_or_memory_id_within_scope(self):
+        """
+        `search` matches a key prefix OR an exact memory_id, and stays ANDed
+        with the visibility filter so a pasted foreign id cannot leak a row.
+        """
+        table = self.prisma.db.litellm_memorytable
+        table.rows.extend(
+            [
+                _make_row(memory_id="mem-own", key="user:profile", user_id="user-a", team_id=None),
+                _make_row(memory_id="mem-target", key="project:context", user_id="user-a", team_id=None),
+                _make_row(memory_id="mem-foreign", key="user:secret", user_id="user-b", team_id=None),
+            ]
+        )
+        client = _make_client(_user_auth("user-a", "team-a"))
+        with _patch_prisma(self.prisma):
+            by_id = client.get("/v1/memory?search=mem-target")
+            by_prefix = client.get("/v1/memory?search=user:")
+            foreign_id = client.get("/v1/memory?search=mem-foreign")
+
+        assert by_id.status_code == 200, by_id.text
+        assert [m["memory_id"] for m in by_id.json()["memories"]] == ["mem-target"]
+        assert by_id.json()["total"] == 1
+
+        assert by_prefix.status_code == 200, by_prefix.text
+        assert {m["key"] for m in by_prefix.json()["memories"]} == {"user:profile"}
+        assert by_prefix.json()["total"] == 1
+
+        assert foreign_id.status_code == 200, foreign_id.text
+        assert foreign_id.json()["memories"] == []
+        assert foreign_id.json()["total"] == 0
+
+    def test_list_memory_search_by_memory_id_for_admin_sees_any_scope(self):
+        """Admins have no visibility filter, so an id search returns the row whoever owns it."""
+        table = self.prisma.db.litellm_memorytable
+        table.rows.extend(
+            [
+                _make_row(memory_id="mem-a", key="a", user_id="user-a", team_id=None),
+                _make_row(memory_id="mem-b", key="b", user_id="user-b", team_id=None),
+            ]
+        )
+        client = _make_client(_admin_auth())
+        with _patch_prisma(self.prisma):
+            resp = client.get("/v1/memory?search=mem-b")
+        assert resp.status_code == 200, resp.text
+        assert [m["memory_id"] for m in resp.json()["memories"]] == ["mem-b"]
+        assert resp.json()["total"] == 1
+
+    def test_list_memory_search_wins_over_key_prefix(self):
+        """When both are sent, `search` decides the match and `key_prefix` is ignored."""
+        table = self.prisma.db.litellm_memorytable
+        table.rows.extend(
+            [
+                _make_row(memory_id="mem-own", key="user:profile", user_id="user-a", team_id=None),
+                _make_row(memory_id="mem-target", key="project:context", user_id="user-a", team_id=None),
+            ]
+        )
+        client = _make_client(_user_auth("user-a", "team-a"))
+        with _patch_prisma(self.prisma):
+            resp = client.get("/v1/memory?search=mem-target&key_prefix=user:")
+        assert resp.status_code == 200, resp.text
+        assert [m["memory_id"] for m in resp.json()["memories"]] == ["mem-target"]
+        assert resp.json()["total"] == 1
+
+    def test_list_memory_key_prefix_never_matches_memory_id(self):
+        """`key_prefix` stays a pure key-prefix match; only `search` consults memory_id."""
+        table = self.prisma.db.litellm_memorytable
+        table.rows.append(_make_row(memory_id="mem-target", key="project:context", user_id="user-a", team_id=None))
+        client = _make_client(_user_auth("user-a", "team-a"))
+        with _patch_prisma(self.prisma):
+            resp = client.get("/v1/memory?key_prefix=mem-target")
+        assert resp.status_code == 200, resp.text
+        assert resp.json()["memories"] == []
+        assert resp.json()["total"] == 0
+
+    def test_list_memory_key_exact_filter(self):
+        """`key` is an exact match, never a prefix."""
+        table = self.prisma.db.litellm_memorytable
+        table.rows.extend(
+            [
+                _make_row(memory_id="m1", key="user:profile", user_id="user-a", team_id=None),
+                _make_row(memory_id="m2", key="user:profile:archived", user_id="user-a", team_id=None),
+            ]
+        )
+        client = _make_client(_user_auth("user-a", "team-a"))
+        with _patch_prisma(self.prisma):
+            resp = client.get("/v1/memory?key=user:profile")
+        assert resp.status_code == 200, resp.text
+        assert [m["memory_id"] for m in resp.json()["memories"]] == ["m1"]
+        assert resp.json()["total"] == 1
+
     def test_list_memory_admin_sees_all(self):
         table = self.prisma.db.litellm_memorytable
         table.rows.extend(

tests/test_litellm/proxy/spend_tracking/test_spend_management_endpoints.py

@@ -58,6 +58,24 @@ def _filter_logs_by_date_range(logs, where):
     return filtered
 
 
+_SEARCH_CLAUSE_RE = re.compile(
+    r'\(request_id = \$(\d+) OR \("startTime" >= \(\$(\d+)::timestamptz AT TIME ZONE \'UTC\'\) '
+    r'AND "startTime" <= \(\$(\d+)::timestamptz AT TIME ZONE \'UTC\'\) '
+    r'AND \(api_key = \$\1 OR team_id = \$\1 OR "user" = \$\1 OR end_user = \$\1 '
+    r"OR session_id = \$\1 OR model_id = \$\1\)\)\)"
+)
+
+
+def _matches_spend_log_search(log, search):
+    """Mirror the search clause: request_id across all time, the other id columns inside the window."""
+    if log.get("request_id") == search["value"]:
+        return True
+    if not _filter_logs_by_date_range([log], {"startTime": {"gte": search["gte"], "lte": search["lte"]}}):
+        return False
+    columns = ("api_key", "team_id", "user", "end_user", "session_id", "model_id")
+    return any(log.get(col) == search["value"] for col in columns)
+
+
 def _reconstruct_ui_where_from_sql(sql_query, params):
     """
     Rebuild the Prisma-style ``where`` dict the filter_fns below expect from the
@@ -77,6 +95,16 @@ def _reconstruct_ui_where_from_sql(sql_query, params):
     def _iso(value):
         return value.isoformat() if hasattr(value, "isoformat") else str(value)
 
+    search_clause = _SEARCH_CLAUSE_RE.search(clause.group(1))
+    if search_clause:
+        raw_index, start_index, end_index = (int(g) for g in search_clause.groups())
+        where["search"] = {
+            "value": params[raw_index - 1],
+            "gte": _iso(params[start_index - 1]),
+            "lte": _iso(params[end_index - 1]),
+        }
+    remaining = clause.group(1) if search_clause is None else clause.group(1).replace(search_clause.group(0), "")
+
     eq_cols = {
         "team_id": "team_id",
         '"user"': "user",
@@ -89,7 +117,7 @@ def _reconstruct_ui_where_from_sql(sql_query, params):
     }
     date_bounds: dict = {}
     metadata_conds: list = []
-    for cond in (c.strip() for c in clause.group(1).split(" AND ")):
+    for cond in (c.strip() for c in remaining.split(" AND ")):
         gte = re.search(r'"startTime" >= \(\$(\d+)', cond)
         lte = re.search(r'"startTime" <= \(\$(\d+)', cond)
         alias = re.search(r"user_api_key_alias' LIKE \$(\d+)", cond)
@@ -2352,6 +2380,208 @@ async def test_ui_view_spend_logs_request_id_owner_scoped_by_id_only(
         app.dependency_overrides.pop(ps.user_api_key_auth, None)
 
 
+def test_build_spend_log_search_condition_windows_every_branch_except_request_id():
+    """LIT-4741: request_id matches across all time; the six other id columns only inside the window,
+    all comparing the pasted value verbatim."""
+    start = datetime.datetime(2026, 8, 1, tzinfo=timezone.utc)
+    end = datetime.datetime(2026, 8, 2, tzinfo=timezone.utc)
+
+    condition = spend_management_endpoints._build_spend_log_search_condition(
+        search="key-hash-7", start_date=start, end_date=end, next_param_index=3
+    )
+
+    assert condition.sql == (
+        "(request_id = $3 OR (\"startTime\" >= ($4::timestamptz AT TIME ZONE 'UTC') "
+        "AND \"startTime\" <= ($5::timestamptz AT TIME ZONE 'UTC') "
+        'AND (api_key = $3 OR team_id = $3 OR "user" = $3 OR end_user = $3 OR session_id = $3 OR model_id = $3)))'
+    )
+    assert condition.params == ("key-hash-7", start, end)
+
+
+def _search_fixture_logs(today):
+    recent = (today - datetime.timedelta(days=1)).isoformat()
+    old = (today - datetime.timedelta(days=90)).isoformat()
+    base = {
+        "api_key": "hashed-other",
+        "user": "user-x",
+        "team_id": "team-x",
+        "end_user": "cust-x",
+        "session_id": "sess-x",
+        "model_id": "mdl-x",
+        "spend": 0.01,
+        "model": "gpt-4",
+    }
+    return [
+        {**base, "request_id": "req-session", "session_id": "sess-42", "startTime": recent},
+        {**base, "request_id": "req-session-old", "session_id": "sess-42", "startTime": old},
+        {**base, "request_id": "req-key", "api_key": "hashed-7", "startTime": recent},
+        {**base, "request_id": "req-team", "team_id": "team-7", "startTime": recent},
+        {**base, "request_id": "req-user", "user": "user-7", "startTime": recent},
+        {**base, "request_id": "req-end-user", "end_user": "cust-7", "startTime": recent},
+        {**base, "request_id": "req-model", "model_id": "mdl-7", "startTime": recent},
+    ]
+
+
+def _search_filter_fn(logs, captured):
+    def filter_fn(where):
+        captured["where"] = where
+        rows = _filter_logs_by_date_range(logs, where)
+        if "user" in where:
+            rows = [row for row in rows if row["user"] == where["user"]]
+        if "search" in where:
+            rows = [row for row in rows if _matches_spend_log_search(row, where["search"])]
+        return rows
+
+    return filter_fn
+
+
+def _five_day_window(today):
+    return {
+        "start_date": (today - datetime.timedelta(days=5)).strftime("%Y-%m-%d %H:%M:%S"),
+        "end_date": today.strftime("%Y-%m-%d %H:%M:%S"),
+    }
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "search,expected_request_ids",
+    [
+        ("req-session-old", {"req-session-old"}),
+        ("sess-42", {"req-session"}),
+        ("hashed-7", {"req-key"}),
+        ("team-7", {"req-team"}),
+        ("user-7", {"req-user"}),
+        ("cust-7", {"req-end-user"}),
+        ("mdl-7", {"req-model"}),
+        ("no-such-id", set()),
+    ],
+)
+async def test_ui_view_spend_logs_search_matches_any_id(client, monkeypatch, search, expected_request_ids):
+    """LIT-4741: one box matches any id column. A request_id is found across all time (the 5-day
+    window excludes the 90-day-old row), every other column only inside the window, and a raw
+    sk- key is hashed before it is compared with api_key. The window is not applied globally."""
+    today = datetime.datetime.now(timezone.utc)
+    logs = _search_fixture_logs(today)
+    captured = {}
+    monkeypatch.setattr(
+        "litellm.proxy.proxy_server.prisma_client",
+        make_ui_spend_logs_mock_prisma(logs, _search_filter_fn(logs, captured)),
+    )
+    app.dependency_overrides[ps.user_api_key_auth] = lambda: UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN)
+    try:
+        response = client.get(
+            "/spend/logs/ui",
+            params={"search": search, **_five_day_window(today)},
+            headers={"Authorization": "Bearer sk-test"},
+        )
+        assert response.status_code == 200, response.text
+        data = response.json()
+        assert {row["request_id"] for row in data["data"]} == expected_request_ids
+        assert data["total"] == len(expected_request_ids)
+        assert "startTime" not in captured["where"]
+    finally:
+        app.dependency_overrides.pop(ps.user_api_key_auth, None)
+
+
+@pytest.mark.asyncio
+async def test_spend_logs_v2_search_keeps_global_window(client, monkeypatch):
+    """The public route keeps the caller's window on the whole query, so a search only finds rows
+    inside it even by request_id; the windowless request_id branch is a dashboard-only relaxation."""
+    today = datetime.datetime.now(timezone.utc)
+    logs = _search_fixture_logs(today)
+    captured = {}
+    monkeypatch.setattr(
+        "litellm.proxy.proxy_server.prisma_client",
+        make_ui_spend_logs_mock_prisma(logs, _search_filter_fn(logs, captured)),
+    )
+    app.dependency_overrides[ps.user_api_key_auth] = lambda: UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN)
+    try:
+        response = client.get(
+            "/spend/logs/v2",
+            params={"search": "req-session-old", **_five_day_window(today)},
+            headers={"Authorization": "Bearer sk-test"},
+        )
+        assert response.status_code == 200, response.text
+        data = response.json()
+        assert data["data"] == []
+        assert data["total"] == 0
+        assert "startTime" in captured["where"]
+        assert captured["where"]["search"]["value"] == "req-session-old"
+    finally:
+        app.dependency_overrides.pop(ps.user_api_key_auth, None)
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "params",
+    [
+        {"search": "req-old"},
+        {"search": "req-old", "request_id": "req-old"},
+    ],
+)
+async def test_ui_view_spend_logs_search_requires_dates(client, monkeypatch, params):
+    """A search needs the window for its non-request_id branches, so it stays required even
+    alongside a request_id, which on its own may drop the window."""
+    monkeypatch.setattr(
+        "litellm.proxy.proxy_server.prisma_client",
+        make_ui_spend_logs_mock_prisma([], lambda where: []),
+    )
+    app.dependency_overrides[ps.user_api_key_auth] = lambda: UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN)
+    try:
+        response = client.get("/spend/logs/ui", params=params, headers={"Authorization": "Bearer sk-test"})
+        assert response.status_code == 400
+        assert "date" in response.text.lower()
+    finally:
+        app.dependency_overrides.pop(ps.user_api_key_auth, None)
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "search,expected_request_ids",
+    [("sess-9", {"req-own"}), ("req-foreign", set())],
+)
+async def test_ui_view_spend_logs_search_keeps_non_admin_scope(client, monkeypatch, search, expected_request_ids):
+    """A search is scoped like any other listing: an internal user only sees their own rows even
+    when the id is on someone else's row, and the request_id ownership shortcut is not used."""
+    yesterday = (datetime.datetime.now(timezone.utc) - datetime.timedelta(days=1)).isoformat()
+    base = {"api_key": "hashed-key", "team_id": None, "spend": 0.01, "startTime": yesterday, "model": "gpt-4"}
+    logs = [
+        {**base, "request_id": "req-own", "user": "internal_user_1", "session_id": "sess-9"},
+        {**base, "request_id": "req-own-other", "user": "internal_user_1", "session_id": "sess-other"},
+        {**base, "request_id": "req-foreign", "user": "internal_user_2", "session_id": "sess-9"},
+    ]
+    captured = {}
+    monkeypatch.setattr(
+        "litellm.proxy.proxy_server.prisma_client",
+        make_ui_spend_logs_mock_prisma(logs, _search_filter_fn(logs, captured)),
+    )
+    monkeypatch.setattr(
+        "litellm.proxy.spend_tracking.spend_management_endpoints._get_permitted_team_ids_for_spend_logs",
+        AsyncMock(return_value=[]),
+    )
+    ownership_check = AsyncMock()
+    monkeypatch.setattr(
+        "litellm.proxy.spend_tracking.spend_management_endpoints._assert_user_can_view_request_id",
+        ownership_check,
+    )
+    app.dependency_overrides[ps.user_api_key_auth] = lambda: UserAPIKeyAuth(
+        user_role=LitellmUserRoles.INTERNAL_USER, user_id="internal_user_1"
+    )
+    try:
+        start_date, end_date = _default_date_range()
+        response = client.get(
+            "/spend/logs/ui",
+            params={"search": search, "start_date": start_date, "end_date": end_date},
+            headers={"Authorization": "Bearer sk-test"},
+        )
+        assert response.status_code == 200, response.text
+        assert {row["request_id"] for row in response.json()["data"]} == expected_request_ids
+        assert captured["where"]["user"] == "internal_user_1"
+        ownership_check.assert_not_awaited()
+    finally:
+        app.dependency_overrides.pop(ps.user_api_key_auth, None)
+
+
 @pytest.mark.asyncio
 async def test_ui_view_spend_logs_unauthorized(client):
     # Test without authorization header
@@ -6351,3 +6581,46 @@ async def test_ui_view_spend_logs_group_by_session_offset_for_non_starttime_sort
         assert "OFFSET" in emitted_sql[1]
     finally:
         app.dependency_overrides.pop(ps.user_api_key_auth, None)
+
+
+@pytest.mark.asyncio
+async def test_ui_view_spend_logs_search_returns_flat_rows_when_grouping_by_session(client, monkeypatch):
+    """The dashboard lists sessions by default; a search for an id lists every matching row instead,
+    so both calls of a session show up rather than one representative, and no session cursor is returned."""
+    rows = [_session_representative_row("req-1", "sess-1"), _session_representative_row("req-2", "sess-1")]
+
+    async def mock_query_raw(sql_query, *params):
+        if "mcp_tool_call_count" in sql_query:
+            return []
+        grouped = "DISTINCT ON" in sql_query or "GROUP BY" in sql_query
+        visible = rows[:1] if grouped else rows
+        if "COUNT(*)" in sql_query:
+            return [{"total_count": len(visible)}]
+        return visible
+
+    mock_prisma = MagicMock()
+    mock_prisma.db = MagicMock()
+    mock_prisma.db.query_raw = AsyncMock(side_effect=mock_query_raw)
+    monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma)
+    app.dependency_overrides[ps.user_api_key_auth] = lambda: UserAPIKeyAuth(
+        user_role=LitellmUserRoles.PROXY_ADMIN, user_id="admin_user"
+    )
+    try:
+        start_date, end_date = _default_date_range()
+        response = client.get(
+            "/spend/logs/ui",
+            params={
+                "search": "sess-1",
+                "group_by_session": "true",
+                "start_date": start_date,
+                "end_date": end_date,
+            },
+            headers={"Authorization": "Bearer sk-test"},
+        )
+        assert response.status_code == 200, response.text
+        data = response.json()
+        assert [row["request_id"] for row in data["data"]] == ["req-1", "req-2"]
+        assert data["total"] == 2
+        assert "next_session_cursor" not in data
+    finally:
+        app.dependency_overrides.pop(ps.user_api_key_auth, None)

tests/test_litellm/proxy/spend_tracking/test_spend_query_optimization.py

@@ -184,6 +184,7 @@ async def test_spend_logs_ui_wraps_params_in_at_time_zone_utc(monkeypatch):
         api_key=None,
         user_id=None,
         request_id=None,
+        search=None,
         start_date="2026-02-16 00:00:00",
         end_date="2026-02-16 23:59:59",
         page=1,
@@ -247,6 +248,7 @@ async def test_spend_logs_ui_uses_bounded_count_not_full_scan(monkeypatch):
         api_key=None,
         user_id=None,
         request_id=None,
+        search=None,
         start_date="2026-02-16 00:00:00",
         end_date="2026-02-16 23:59:59",
         page=1,
@@ -314,6 +316,7 @@ async def test_spend_logs_ui_caps_total_for_large_result_sets(monkeypatch):
         api_key=None,
         user_id=None,
         request_id=None,
+        search=None,
         start_date="2026-02-16 00:00:00",
         end_date="2026-02-16 23:59:59",
         page=1,
@@ -359,6 +362,7 @@ async def test_spend_logs_ui_empty_page_reports_zero_total(monkeypatch):
         api_key=None,
         user_id=None,
         request_id=None,
+        search=None,
         start_date="2026-02-16 00:00:00",
         end_date="2026-02-16 23:59:59",
         page=1,
@@ -406,6 +410,7 @@ async def test_spend_logs_ui_out_of_range_page_keeps_total(monkeypatch):
         api_key=None,
         user_id=None,
         request_id=None,
+        search=None,
         start_date="2026-02-16 00:00:00",
         end_date="2026-02-16 23:59:59",
         page=99,
@@ -552,6 +557,7 @@ async def test_spend_logs_ui_group_by_session_paginates_sessions(monkeypatch):
         api_key=None,
         user_id=None,
         request_id=None,
+        search=None,
         start_date="2026-02-16 00:00:00",
         end_date="2026-02-16 23:59:59",
         page=1,
@@ -616,6 +622,7 @@ async def test_spend_logs_ui_group_by_session_offset_pages_for_other_sorts(monke
         api_key=None,
         user_id=None,
         request_id=None,
+        search=None,
         start_date="2026-02-16 00:00:00",
         end_date="2026-02-16 23:59:59",
         page=2,
@@ -664,6 +671,7 @@ async def test_spend_logs_ui_request_id_lookup_with_grouping_returns_exact_row(m
         api_key=None,
         user_id=None,
         request_id="req-deep-link",
+        search=None,
         start_date=None,
         end_date=None,
         page=1,

tests/test_litellm/test_router.py

@@ -7362,14 +7362,14 @@ def test_get_configured_mode_reads_deployment_model_info():
     router = litellm.Router(
         model_list=[
             {
-                "model_name": "chat-model",
-                "litellm_params": {"model": "openai/some-unmapped-model"},
-                "model_info": {"mode": "chat"},
+                "model_name": "tts-model",
+                "litellm_params": {"model": "openai/some-unmapped-tts-model"},
+                "model_info": {"mode": "audio_speech"},
             }
         ]
     )
 
-    assert router.get_configured_mode("chat-model") == "chat"
+    assert router.get_configured_mode("tts-model") == "audio_speech"
 
 
 def test_get_configured_mode_returns_none_for_unset_or_unknown():
@@ -12701,33 +12701,3 @@ async def test_prompt_management_factory_marks_injection_for_every_deployment(mo
     bucket = captured.get("litellm_metadata") or captured["metadata"]
     assert captured["model_info"]["id"] == "provisional-dep"
     assert bucket["litellm_gateway_injected_cache"] == ""
-
-
-def test_get_configured_mode_reads_deployment_model_info():
-    router = Router(
-        model_list=[
-            {
-                "model_name": "my-tts",
-                "litellm_params": {"model": "openai/some-unmapped-mode-model"},
-                "model_info": {"mode": "audio_speech"},
-            }
-        ]
-    )
-
-    assert router.get_configured_mode("my-tts") == "audio_speech"
-
-
-@pytest.mark.parametrize("model_info", [{}, {"mode": ""}, {"mode": "   "}, {"mode": 123}])
-def test_get_configured_mode_returns_none_for_unset_blank_or_unknown(model_info):
-    router = Router(
-        model_list=[
-            {
-                "model_name": "plain-model",
-                "litellm_params": {"model": "openai/some-unmapped-mode-model"},
-                "model_info": model_info,
-            }
-        ]
-    )
-
-    assert router.get_configured_mode("plain-model") is None
-    assert router.get_configured_mode("unknown-model") is None

ui/litellm-dashboard/src/app/(dashboard)/agents/_components/AgentsTable.test.tsx

@@ -90,7 +90,7 @@ describe("AgentsTable", () => {
       />,
     );
 
-    const search = screen.getByPlaceholderText("Search agent names or descriptions...");
+    const search = screen.getByPlaceholderText("Search agents by name, ID, or description...");
     await user.type(search, "billing");
     expect(screen.getByText("Billing Router")).toBeInTheDocument();
     expect(screen.queryByText("Second Agent")).not.toBeInTheDocument();
@@ -101,11 +101,36 @@ describe("AgentsTable", () => {
     expect(screen.queryByText("Billing Router")).not.toBeInTheDocument();
   });
 
+  it("filters agents by a pasted agent_id so only that agent's row survives", async () => {
+    const user = userEvent.setup();
+    render(
+      <AgentsTable
+        agents={[
+          makeAgent({ agent_id: "5f3c2a1b-9d8e-4f7a-b6c5-d4e3f2a1b0c9", agent_name: "Billing Router" }),
+          makeAgent({ agent_id: "0a9b8c7d-6e5f-4a3b-8c2d-1e0f9a8b7c6d", agent_name: "Second Agent" }),
+        ]}
+        {...baseProps}
+      />,
+    );
+
+    const search = screen.getByPlaceholderText("Search agents by name, ID, or description...");
+    await user.click(search);
+    await user.paste("5f3c2a1b-9d8e-4f7a-b6c5-d4e3f2a1b0c9");
+    expect(screen.getByText("Billing Router")).toBeInTheDocument();
+    expect(screen.queryByText("Second Agent")).not.toBeInTheDocument();
+
+    await user.clear(search);
+    await user.paste("ffffffff-0000-4000-8000-000000000000");
+    expect(screen.queryByText("Billing Router")).not.toBeInTheDocument();
+    expect(screen.queryByText("Second Agent")).not.toBeInTheDocument();
+    expect(screen.getByText("No matching agents")).toBeInTheDocument();
+  });
+
   it("shows the no-match empty state when the search matches nothing", async () => {
     const user = userEvent.setup();
     render(<AgentsTable agents={[makeAgent()]} {...baseProps} />);
 
-    await user.type(screen.getByPlaceholderText("Search agent names or descriptions..."), "zzzz");
+    await user.type(screen.getByPlaceholderText("Search agents by name, ID, or description..."), "zzzz");
     expect(screen.queryByText("Test Agent")).not.toBeInTheDocument();
     expect(screen.getByText("No matching agents")).toBeInTheDocument();
   });

ui/litellm-dashboard/src/app/(dashboard)/agents/_components/AgentsTable.tsx

@@ -55,7 +55,12 @@ const AgentsTable: React.FC<AgentsTableProps> = ({
   const [sorting, setSorting] = useState<SortingState>(DEFAULT_SORTING);
   const [searchTerm, setSearchTerm] = useState("");
   const filteredAgents = useMemo(
-    () => filterBySearchTerm(agents, searchTerm, (agent) => [agent.agent_name, agent.agent_card_params?.description]),
+    () =>
+      filterBySearchTerm(agents, searchTerm, (agent) => [
+        agent.agent_name,
+        agent.agent_id,
+        agent.agent_card_params?.description,
+      ]),
     [agents, searchTerm],
   );
 
@@ -83,7 +88,7 @@ const AgentsTable: React.FC<AgentsTableProps> = ({
               <SearchIcon className="size-4 text-muted-foreground" />
             </InputGroupAddon>
             <InputGroupInput
-              placeholder="Search agent names or descriptions..."
+              placeholder="Search agents by name, ID, or description..."
               value={searchTerm}
               onChange={(e) => setSearchTerm(e.target.value)}
             />

ui/litellm-dashboard/src/app/(dashboard)/hooks/keys/useKeys.test.ts

@@ -518,6 +518,24 @@ describe("useKeys", () => {
     const callUrl = mockFetch.mock.calls[0][0];
     expect(callUrl).not.toContain("agent_id");
   });
+
+  it("sends the combined alias-or-ID search as the search param, separate from key_alias and key_hash", async () => {
+    mockFetch.mockResolvedValueOnce({
+      ok: true,
+      json: async () => mockKeysResponse,
+    });
+
+    const { result } = renderHook(() => useKeys(1, 10, { search: "pasted-key-id" }), { wrapper });
+
+    await waitFor(() => {
+      expect(result.current.isLoading).toBe(false);
+    });
+
+    const callUrl = new URL(mockFetch.mock.calls[0][0], "http://localhost");
+    expect(callUrl.searchParams.get("search")).toBe("pasted-key-id");
+    expect(callUrl.searchParams.has("key_alias")).toBe(false);
+    expect(callUrl.searchParams.has("key_hash")).toBe(false);
+  });
 });
 
 describe("useDeletedKeys", () => {

ui/litellm-dashboard/src/app/(dashboard)/hooks/keys/useKeys.ts

@@ -40,6 +40,7 @@ export interface KeyListCallOptions {
   selectedKeyAlias?: string | null;
   userID?: string | null;
   keyHash?: string | null;
+  search?: string | null;
   sortBy?: string | null;
   sortOrder?: string | null;
   expand?: string | null;
@@ -61,6 +62,7 @@ const keyListCall = async (accessToken: string, page: number, pageSize: number,
         organization_id: options.organizationID,
         key_alias: options.selectedKeyAlias,
         key_hash: options.keyHash,
+        search: options.search,
         user_id: options.userID,
         page,
         size: pageSize,

ui/litellm-dashboard/src/app/(dashboard)/memory/_components/MemoryTable.test.tsx

@@ -95,6 +95,7 @@ describe("MemoryTable", () => {
   it("shows the filtered-empty copy when a search is active", () => {
     render(<MemoryTable {...baseProps} data={[]} rowCount={0} hasActiveSearch={true} />);
     expect(screen.getByText("No matching memories")).toBeInTheDocument();
+    expect(screen.getByText("No memories match your search.")).toBeInTheDocument();
     expect(screen.queryByText("No memories stored yet")).not.toBeInTheDocument();
   });
 
@@ -128,6 +129,7 @@ describe("MemoryTable", () => {
     const onRefresh = vi.fn();
     render(<MemoryTable {...baseProps} onSearchChange={onSearchChange} onRefresh={onRefresh} />);
 
+    expect(screen.getByPlaceholderText("Search by key prefix or memory ID…")).toBeInTheDocument();
     fireEvent.change(screen.getByTestId("datatable-search"), { target: { value: "u" } });
     expect(onSearchChange).toHaveBeenCalledWith("u");
 

ui/litellm-dashboard/src/app/(dashboard)/memory/_components/MemoryTable.tsx

@@ -36,7 +36,7 @@ function MemoryEmptyState({ hasActiveSearch }: { hasActiveSearch: boolean }) {
       </div>
       <div className="text-sm text-muted-foreground">
         {hasActiveSearch
-          ? "No memories have keys starting with your search."
+          ? "No memories match your search."
           : "Memories your agents store under /v1/memory will appear here."}
       </div>
     </div>
@@ -81,7 +81,7 @@ export function MemoryTable({
           table={table}
           searchValue={searchValue}
           onSearchChange={onSearchChange}
-          searchPlaceholder='Filter by key prefix, e.g. "user:"'
+          searchPlaceholder="Search by key prefix or memory ID…"
           onRefresh={onRefresh}
           isRefreshing={isRefreshing}
           showViewOptions={false}

ui/litellm-dashboard/src/app/(dashboard)/memory/_components/MemoryView.test.tsx

@@ -1,8 +1,9 @@
 import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
-import { act, render, screen } from "@testing-library/react";
+import type { PaginationState } from "@tanstack/react-table";
+import { act, render, screen, waitFor } from "@testing-library/react";
 import userEvent from "@testing-library/user-event";
 import React from "react";
-import { describe, expect, it, vi } from "vitest";
+import { beforeEach, describe, expect, it, vi } from "vitest";
 
 import { MemoryRow } from "@/components/networking";
 
@@ -13,10 +14,13 @@ interface CapturedTableProps {
   rowCount: number;
   data: MemoryRow[];
   hasActiveSearch: boolean;
+  onSearchChange: (value: string) => void;
+  onPaginationChange: (state: PaginationState) => void;
   onViewClick: (row: MemoryRow) => void;
 }
 
 const captured = vi.hoisted(() => ({ current: null as CapturedTableProps | null }));
+const fetchMemoryListMock = vi.hoisted(() => vi.fn());
 
 vi.mock("./MemoryTable", () => ({
   MemoryTable: function MemoryTableMock(props: CapturedTableProps) {
@@ -25,6 +29,15 @@ vi.mock("./MemoryTable", () => ({
   },
 }));
 
+vi.mock("@/components/networking", async (importOriginal) => ({
+  ...(await importOriginal<typeof import("@/components/networking")>()),
+  fetchMemoryList: fetchMemoryListMock,
+}));
+
+vi.mock("@tanstack/react-pacer/debouncer", () => ({
+  useDebouncedValue: (value: unknown) => [value, { cancel: vi.fn(), flush: vi.fn() }],
+}));
+
 const renderView = (accessToken: string | null) => {
   const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false } } });
   return render(
@@ -35,6 +48,28 @@ const renderView = (accessToken: string | null) => {
 };
 
 describe("MemoryView", () => {
+  beforeEach(() => {
+    fetchMemoryListMock.mockReset();
+    fetchMemoryListMock.mockResolvedValue({ memories: [], total: 0 });
+  });
+
+  it("queries the server with the search box value as `search` and resets to page 1", async () => {
+    renderView("token");
+    await waitFor(() => expect(fetchMemoryListMock).toHaveBeenCalled());
+
+    act(() => captured.current?.onPaginationChange({ pageIndex: 2, pageSize: 50 }));
+    await waitFor(() =>
+      expect(fetchMemoryListMock).toHaveBeenLastCalledWith("token", expect.objectContaining({ page: 3 })),
+    );
+
+    act(() => captured.current?.onSearchChange("mem-abc123"));
+
+    await waitFor(() =>
+      expect(fetchMemoryListMock).toHaveBeenLastCalledWith("token", { search: "mem-abc123", page: 1, pageSize: 50 }),
+    );
+    expect(captured.current?.hasActiveSearch).toBe(true);
+  });
+
   it("keeps the table out of the skeleton state when the token is null (disabled query)", () => {
     renderView(null);
 

ui/litellm-dashboard/src/app/(dashboard)/memory/_components/MemoryView.tsx

@@ -43,10 +43,8 @@ export const MemoryView: React.FC<MemoryViewProps> = ({ accessToken }) => {
     queryKey: [MEMORY_LIST_KEY, debouncedSearch, pagination.pageIndex, pagination.pageSize],
     queryFn: () => {
       if (!accessToken) throw new Error("Access token required");
-      // Prefix search matches the Redis-style mental model (namespace scan):
-      // typing "user:" finds "user:profile", "user:prefs", etc.
       return fetchMemoryList(accessToken, {
-        keyPrefix: debouncedSearch || undefined,
+        search: debouncedSearch || undefined,
         page: pagination.pageIndex + 1,
         pageSize: pagination.pageSize,
       });

ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.test.tsx

@@ -542,6 +542,19 @@ describe("server-side filtering – the LIT-4080 regression guard", () => {
       expect((lastCall[2] ?? {}).userID).toBeUndefined();
     });
   });
+
+  it("sends the search box as the combined alias-or-ID search rather than the key-alias filter", async () => {
+    renderWithProviders(<VirtualKeysTable />);
+
+    fireEvent.change(screen.getByPlaceholderText(/Search by key alias or ID/), { target: { value: mockKey.token } });
+
+    await waitFor(() => {
+      expect(mockUseKeys).toHaveBeenLastCalledWith(1, 50, expect.objectContaining({ search: mockKey.token }));
+    });
+    const lastOptions = mockUseKeys.mock.calls.at(-1)?.[2];
+    expect(lastOptions?.selectedKeyAlias).toBeUndefined();
+    expect(lastOptions?.keyHash).toBeUndefined();
+  });
 });
 
 describe("pagination display – total count comes from useKeys", () => {
@@ -663,7 +676,7 @@ describe("table state lives in the URL so it survives leaving and returning to t
       expect(mockUseKeys).toHaveBeenLastCalledWith(
         3,
         25,
-        expect.objectContaining({ selectedKeyAlias: "prod", sortBy: "spend", sortOrder: "asc" }),
+        expect.objectContaining({ search: "prod", sortBy: "spend", sortOrder: "asc" }),
       );
     });
     expect(screen.getByPlaceholderText(/Search by key alias/)).toHaveValue("prod");
@@ -736,7 +749,7 @@ describe("table state lives in the URL so it survives leaving and returning to t
     fireEvent.change(screen.getByPlaceholderText(/Search by key alias/), { target: { value: "prod" } });
 
     await waitFor(() => {
-      expect(mockUseKeys).toHaveBeenLastCalledWith(1, 50, expect.objectContaining({ selectedKeyAlias: "prod" }));
+      expect(mockUseKeys).toHaveBeenLastCalledWith(1, 50, expect.objectContaining({ search: "prod" }));
     });
     await waitFor(() => {
       expect(lastSearchParam(onUrlUpdate, "page")).toBeNull();

ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.tsx

@@ -118,7 +118,7 @@ export function VirtualKeysTable({ headerActions }: VirtualKeysTableProps) {
   const keyListOptions = {
     teamID: appliedFilters.team_id || undefined,
     organizationID: appliedFilters.org_id || undefined,
-    selectedKeyAlias: searchQuery.trim() || undefined,
+    search: searchQuery.trim() || undefined,
     userID: appliedFilters.user_id || undefined,
     keyHash: appliedFilters.key_hash || undefined,
     sortBy,
@@ -291,7 +291,7 @@ export function VirtualKeysTable({ headerActions }: VirtualKeysTableProps) {
               table={table}
               searchValue={searchInput}
               onSearchChange={handleSearchChange}
-              searchPlaceholder="Search by key alias…"
+              searchPlaceholder="Search by key alias or ID…"
               onRefresh={() => refetch?.()}
               isRefreshing={isFetching}
               onOpenFilters={() => setFiltersOpen(true)}

ui/litellm-dashboard/src/components/networking.test.ts

@@ -854,3 +854,48 @@ describe("userListCall search serialization", () => {
     expect(lastParams(mockFetch).get("user_email")).toBe("ada@example.com");
   });
 });
+
+describe("fetchMemoryList search serialization", () => {
+  const originalFetch = global.fetch;
+
+  afterEach(() => {
+    global.fetch = originalFetch;
+  });
+
+  const mockOkFetch = () => {
+    const emptyPage = { memories: [], total: 0 };
+    const mockFetch = vi.fn().mockResolvedValue({ ok: true, json: vi.fn().mockResolvedValue(emptyPage) } as any);
+    global.fetch = mockFetch as any;
+    return mockFetch;
+  };
+
+  const lastParams = (mockFetch: ReturnType<typeof vi.fn>) => {
+    const [url] = mockFetch.mock.calls.at(-1) ?? [];
+    return new URL(url as string, "http://example.com").searchParams;
+  };
+
+  it("sends the search box value as search and omits key_prefix and key", async () => {
+    const mockFetch = mockOkFetch();
+
+    await Networking.fetchMemoryList("token", { search: "mem-abc123", page: 1, pageSize: 50 });
+
+    const params = lastParams(mockFetch);
+    expect(params.get("search")).toBe("mem-abc123");
+    expect(params.has("key_prefix")).toBe(false);
+    expect(params.has("key")).toBe(false);
+    expect(params.get("page")).toBe("1");
+    expect(params.get("page_size")).toBe("50");
+  });
+
+  it("keeps key_prefix and key working when no search is given", async () => {
+    const mockFetch = mockOkFetch();
+
+    await Networking.fetchMemoryList("token", { keyPrefix: "user:" });
+    expect(lastParams(mockFetch).get("key_prefix")).toBe("user:");
+    expect(lastParams(mockFetch).has("search")).toBe(false);
+
+    await Networking.fetchMemoryList("token", { key: "user:profile" });
+    expect(lastParams(mockFetch).get("key")).toBe("user:profile");
+    expect(lastParams(mockFetch).has("search")).toBe(false);
+  });
+});

ui/litellm-dashboard/src/components/networking.tsx

@@ -2056,6 +2056,7 @@ interface UiSpendLogsParams {
   exclude_internal_health_checks?: boolean;
   group_by_session?: boolean;
   session_cursor?: string;
+  search?: string;
 }
 
 interface UiSpendLogsCallOptions {
@@ -6563,6 +6564,7 @@ interface UiAuditLogsParams {
   changed_by_api_key?: string;
   object_team_id?: string;
   object_key_hash?: string;
+  search?: string | null;
   sort_by?: string;
   sort_order?: "asc" | "desc";
 }
@@ -8061,15 +8063,18 @@ export const fetchMemoryList = async (
   options: {
     key?: string;
     keyPrefix?: string;
+    search?: string;
     page?: number;
     pageSize?: number;
   } = {},
 ): Promise<MemoryListResponse> => {
   const base = proxyBaseUrl ? `${proxyBaseUrl}/v1/memory` : `/v1/memory`;
   const params = new URLSearchParams();
-  // keyPrefix takes precedence — backend also does, but we omit `key`
+  // Backend precedence is search > key_prefix > key; only the winner is sent
   // to keep the URL clean and intent obvious.
-  if (options.keyPrefix) {
+  if (options.search) {
+    params.append("search", options.search);
+  } else if (options.keyPrefix) {
     params.append("key_prefix", options.keyPrefix);
   } else if (options.key) {
     params.append("key", options.key);

ui/litellm-dashboard/src/components/team/TeamVirtualKeysTable.test.tsx

@@ -30,6 +30,8 @@ vi.mock("@tanstack/react-pacer/debouncer", () => ({
 
 const mockUseKeys = useKeys as MockedFunction<typeof useKeys>;
 
+const KEY_HASH = "88a145505dd6e87e2ea166fcef1e4b53948dbdb32af6431dfd05ec06b571ee52";
+
 const createMockKey = (overrides: Partial<KeyResponse> = {}): KeyResponse =>
   ({
     token: "sk-test123",
@@ -277,7 +279,7 @@ describe("TeamVirtualKeysTable", () => {
     );
   });
 
-  it("maps the search box to a server-side key-alias query", async () => {
+  it("maps the Key ID drawer filter to a server-side useKeys query and clears it", async () => {
     const user = userEvent.setup();
     mockUseKeys.mockReturnValue({
       data: { keys: [createMockKey()], total_count: 1, current_page: 1, total_pages: 1 },
@@ -288,11 +290,42 @@ describe("TeamVirtualKeysTable", () => {
 
     renderWithProviders(<TeamVirtualKeysTable {...defaultProps} />);
 
-    fireEvent.change(await screen.findByTestId("datatable-search"), { target: { value: "check-002" } });
+    await user.click(await screen.findByTestId("datatable-filters-trigger"));
+    const drawerBody = await screen.findByTestId("filter-drawer-body");
+    fireEvent.change(within(drawerBody).getByPlaceholderText("Enter Key ID…"), { target: { value: KEY_HASH } });
+    await user.click(screen.getByTestId("filter-drawer-apply"));
 
     await waitFor(() =>
-      expect(mockUseKeys).toHaveBeenLastCalledWith(1, 50, expect.objectContaining({ selectedKeyAlias: "check-002" })),
+      expect(mockUseKeys).toHaveBeenLastCalledWith(1, 50, expect.objectContaining({ keyHash: KEY_HASH })),
     );
+    expect(screen.getByTestId("filter-chip-key_hash")).toHaveTextContent("Key ID");
+
+    await user.click(screen.getByTestId("datatable-clear-filters"));
+    await waitFor(() =>
+      expect(mockUseKeys).toHaveBeenLastCalledWith(1, 50, expect.objectContaining({ keyHash: undefined })),
+    );
+  });
+
+  it("maps the search box to the combined alias-or-ID search rather than the key-alias filter", async () => {
+    mockUseKeys.mockReturnValue({
+      data: { keys: [createMockKey()], total_count: 1, current_page: 1, total_pages: 1 },
+      isPending: false,
+      isFetching: false,
+      refetch: vi.fn(),
+    } as unknown as ReturnType<typeof useKeys>);
+
+    renderWithProviders(<TeamVirtualKeysTable {...defaultProps} />);
+
+    const searchBox = await screen.findByTestId("datatable-search");
+    expect(searchBox).toHaveAttribute("placeholder", "Search by key alias or ID…");
+    fireEvent.change(searchBox, { target: { value: KEY_HASH } });
+
+    await waitFor(() =>
+      expect(mockUseKeys).toHaveBeenLastCalledWith(1, 50, expect.objectContaining({ search: KEY_HASH })),
+    );
+    const lastOptions = mockUseKeys.mock.calls.at(-1)?.[2];
+    expect(lastOptions?.selectedKeyAlias).toBeUndefined();
+    expect(lastOptions?.keyHash).toBeUndefined();
   });
 
   it("should show Loading keys when isPending", async () => {

ui/litellm-dashboard/src/components/team/TeamVirtualKeysTable.tsx

@@ -68,19 +68,17 @@ export function TeamVirtualKeysTable({ teamId, teamAlias, organization }: TeamVi
   const pageIndex = tablePagination.pageIndex;
   const pageSize = tablePagination.pageSize;
 
-  const {
-    data: keys,
-    isPending: isLoading,
-    isFetching,
-    refetch,
-  } = useKeys(pageIndex + 1, pageSize, {
+  const keyListOptions = {
     teamID: teamId,
-    selectedKeyAlias: searchQuery.trim() || undefined,
+    search: searchQuery.trim() || undefined,
     userID: getFilterValue("user_id"),
+    keyHash: getFilterValue("key_hash"),
     sortBy: sortBy || undefined,
     sortOrder: sortOrder || undefined,
     expand: "user",
-  });
+  };
+
+  const { data: keys, isPending: isLoading, isFetching, refetch } = useKeys(pageIndex + 1, pageSize, keyListOptions);
 
   const displayKeys = useMemo(() => {
     const kList = keys?.keys || [];
@@ -481,11 +479,11 @@ export function TeamVirtualKeysTable({ teamId, teamAlias, organization }: TeamVi
                   table={table}
                   searchValue={searchInput}
                   onSearchChange={handleSearchChange}
-                  searchPlaceholder="Search by key alias…"
+                  searchPlaceholder="Search by key alias or ID…"
                   onRefresh={() => refetch?.()}
                   isRefreshing={isFetching}
                   onOpenFilters={() => setFiltersOpen(true)}
-                  filterLabels={{ user_id: "User ID" }}
+                  filterLabels={{ user_id: "User ID", key_hash: "Key ID" }}
                 />
                 <DataTableFilterDrawer
                   table={table}
@@ -495,13 +493,22 @@ export function TeamVirtualKeysTable({ teamId, teamAlias, organization }: TeamVi
                   description={`Narrow down keys for ${teamAlias ?? "this team"}`}
                 >
                   {({ get, set }) => (
-                    <DataTableFilterField label="User ID">
-                      <Input
-                        value={(get("user_id") as string) ?? ""}
-                        onChange={(event) => set("user_id", event.target.value)}
-                        placeholder="Filter by user ID…"
-                      />
-                    </DataTableFilterField>
+                    <>
+                      <DataTableFilterField label="User ID">
+                        <Input
+                          value={(get("user_id") as string) ?? ""}
+                          onChange={(event) => set("user_id", event.target.value)}
+                          placeholder="Filter by user ID…"
+                        />
+                      </DataTableFilterField>
+                      <DataTableFilterField label="Key ID">
+                        <Input
+                          value={(get("key_hash") as string) ?? ""}
+                          onChange={(event) => set("key_hash", event.target.value)}
+                          placeholder="Enter Key ID…"
+                        />
+                      </DataTableFilterField>
+                    </>
                   )}
                 </DataTableFilterDrawer>
               </>

ui/litellm-dashboard/src/components/view_logs/AuditLogsPanel.test.tsx

@@ -0,0 +1,145 @@
+import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
+import { fireEvent, render, screen, waitFor } from "@testing-library/react";
+import userEvent from "@testing-library/user-event";
+import { beforeEach, describe, expect, it, vi } from "vitest";
+
+import { chooseSelectOption } from "../../../tests/test-utils";
+import AuditLogsPanel from "./AuditLogsPanel";
+
+vi.mock("../networking", async (importOriginal) => {
+  const actual = await importOriginal<typeof import("../networking")>();
+  return { ...actual, uiAuditLogsCall: vi.fn() };
+});
+
+// Resolve the debounced search synchronously so typed input reaches the query within the test tick.
+vi.mock("@tanstack/react-pacer/debouncer", () => ({
+  useDebouncedValue: (value: unknown) => [value, { cancel: vi.fn(), flush: vi.fn() }],
+}));
+
+import { uiAuditLogsCall } from "../networking";
+
+type AuditLogsParams = NonNullable<Parameters<typeof uiAuditLogsCall>[0]["params"]>;
+
+const PAGE_SIZE = 50;
+
+const ID_PARAM_KEYS = [
+  "search",
+  "object_id",
+  "changed_by",
+  "object_team_id",
+  "object_key_hash",
+  "action",
+  "table_name",
+] as const satisfies readonly (keyof AuditLogsParams)[];
+
+const respondWith = (total: number) => {
+  const response = { audit_logs: [], total, page: 1, page_size: PAGE_SIZE, total_pages: Math.ceil(total / PAGE_SIZE) };
+  return vi.mocked(uiAuditLogsCall).mockResolvedValue(response);
+};
+
+const lastCall = () => vi.mocked(uiAuditLogsCall).mock.calls.at(-1)?.[0];
+const sentIdParams = () => ID_PARAM_KEYS.filter((key) => lastCall()?.params?.[key] !== undefined);
+
+const defaultProps = {
+  accessToken: "sk-test",
+  token: "jwt-test",
+  userRole: "Admin",
+  userID: "user-1",
+  isActive: true,
+  premiumUser: true,
+};
+
+const renderPanel = () => {
+  const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false } } });
+  return render(
+    <QueryClientProvider client={queryClient}>
+      <AuditLogsPanel {...defaultProps} />
+    </QueryClientProvider>,
+  );
+};
+
+const TEXT_FILTERS: { filterId: string; placeholder: string; paramKey: keyof AuditLogsParams }[] = [
+  { filterId: "object_id", placeholder: "Enter object ID…", paramKey: "object_id" },
+  { filterId: "changed_by", placeholder: "Enter user ID…", paramKey: "changed_by" },
+  { filterId: "team_id", placeholder: "Enter team ID…", paramKey: "object_team_id" },
+  { filterId: "key_hash", placeholder: "Enter key hash…", paramKey: "object_key_hash" },
+];
+
+const SELECT_FILTERS: {
+  label: string;
+  comboboxIndex: number;
+  option: string;
+  paramKey: keyof AuditLogsParams;
+  value: string;
+}[] = [
+  { label: "Action", comboboxIndex: 0, option: "Created", paramKey: "action", value: "created" },
+  { label: "Table", comboboxIndex: 1, option: "Teams", paramKey: "table_name", value: "LiteLLM_TeamTable" },
+];
+
+describe("AuditLogsPanel", () => {
+  beforeEach(() => {
+    vi.clearAllMocks();
+    respondWith(0);
+  });
+
+  it("sends the typed search as params.search and returns to the first page", async () => {
+    const user = userEvent.setup();
+    respondWith(120);
+    renderPanel();
+    await waitFor(() => expect(uiAuditLogsCall).toHaveBeenCalled());
+    expect(lastCall()?.params?.search).toBeUndefined();
+
+    await user.click(screen.getByTestId("pagination-next"));
+    await waitFor(() => expect(lastCall()?.page).toBe(2));
+
+    await user.type(screen.getByTestId("datatable-search"), "team-abc");
+
+    await waitFor(() => expect(lastCall()?.params?.search).toBe("team-abc"));
+    expect(lastCall()?.page).toBe(1);
+    expect(sentIdParams()).toEqual(["search"]);
+  });
+
+  it("trims the search and drops params.search once the box is cleared", async () => {
+    const user = userEvent.setup();
+    renderPanel();
+    const input = await screen.findByTestId("datatable-search");
+
+    await user.type(input, "  abc");
+    await waitFor(() => expect(lastCall()?.params?.search).toBe("abc"));
+
+    await user.clear(input);
+
+    await waitFor(() => expect(lastCall()?.params?.search).toBeUndefined());
+    expect(sentIdParams()).toEqual([]);
+  });
+
+  it.each(TEXT_FILTERS)("maps the $filterId drawer filter to params.$paramKey", async ({ placeholder, paramKey }) => {
+    const user = userEvent.setup();
+    renderPanel();
+    await waitFor(() => expect(uiAuditLogsCall).toHaveBeenCalled());
+
+    await user.click(screen.getByTestId("datatable-filters-trigger"));
+    fireEvent.change(await screen.findByPlaceholderText(placeholder), { target: { value: "val-1" } });
+    await user.click(screen.getByTestId("filter-drawer-apply"));
+
+    await waitFor(() => expect(lastCall()?.params?.[paramKey]).toBe("val-1"));
+    expect(sentIdParams()).toEqual([paramKey]);
+  });
+
+  it.each(SELECT_FILTERS)(
+    "maps the $label drawer select to params.$paramKey",
+    async ({ comboboxIndex, option, paramKey, value }) => {
+      const user = userEvent.setup();
+      renderPanel();
+      await waitFor(() => expect(uiAuditLogsCall).toHaveBeenCalled());
+
+      await user.click(screen.getByTestId("datatable-filters-trigger"));
+      const triggers = await screen.findAllByRole("combobox");
+      await chooseSelectOption(user, triggers[comboboxIndex], option);
+      await user.click(screen.getByTestId("filter-drawer-apply"));
+
+      await waitFor(() => expect(lastCall()?.params?.[paramKey]).toBe(value));
+      expect(sentIdParams()).toEqual([paramKey]);
+    },
+  );
+});

ui/litellm-dashboard/src/components/view_logs/AuditLogsPanel.tsx

@@ -1,7 +1,9 @@
 import { useCallback, useState } from "react";
+import { useDebouncedValue } from "@tanstack/react-pacer/debouncer";
 import { useQuery, keepPreviousData } from "@tanstack/react-query";
 import { ColumnFiltersState, OnChangeFn, PaginationState } from "@tanstack/react-table";
 import { resolveLogoSrc } from "@/lib/assetPaths";
+import { DEBOUNCE_WAIT_MS } from "@/utils/debounceConstants";
 import { uiAuditLogsCall } from "../networking";
 import { AuditLogEntry } from "./AuditLogsTableColumns";
 import { AuditLogsTable } from "./AuditLogsTable";
@@ -39,9 +41,13 @@ export default function AuditLogsPanel({
 }: AuditLogsProps) {
   const [pagination, setPagination] = useState<PaginationState>({ pageIndex: 0, pageSize: PAGE_SIZE });
   const [columnFilters, setColumnFilters] = useState<ColumnFiltersState>([]);
+  const [searchInput, setSearchInput] = useState("");
+  const [debouncedSearch] = useDebouncedValue(searchInput, { wait: DEBOUNCE_WAIT_MS });
   const [selectedLog, setSelectedLog] = useState<AuditLogEntry | null>(null);
   const [drawerOpen, setDrawerOpen] = useState(false);
 
+  const searchTerm = debouncedSearch.trim();
+
   const getFilterValue = (columnId: string): string | undefined => {
     const entry = columnFilters.find((filter) => filter.id === columnId);
     return typeof entry?.value === "string" && entry.value.trim() ? entry.value.trim() : undefined;
@@ -50,7 +56,7 @@ export default function AuditLogsPanel({
   const canQueryAuditLogs = !!accessToken && !!token && !!userRole && !!userID && isActive && premiumUser;
 
   const query = useQuery<AuditLogsResponse>({
-    queryKey: ["audit_logs", pagination.pageIndex, pagination.pageSize, columnFilters],
+    queryKey: ["audit_logs", pagination.pageIndex, pagination.pageSize, columnFilters, searchTerm],
     queryFn: async () => {
       if (!accessToken) {
         return { audit_logs: [], total: 0, page: 1, page_size: pagination.pageSize, total_pages: 0 };
@@ -60,6 +66,7 @@ export default function AuditLogsPanel({
         page: pagination.pageIndex + 1,
         page_size: pagination.pageSize,
         params: {
+          search: searchTerm || undefined,
           object_id: getFilterValue("object_id"),
           changed_by: getFilterValue("changed_by"),
           object_key_hash: getFilterValue("key_hash"),
@@ -80,6 +87,11 @@ export default function AuditLogsPanel({
     setPagination((prev) => ({ ...prev, pageIndex: 0 }));
   }, []);
 
+  const handleSearchChange = useCallback((value: string) => {
+    setSearchInput(value);
+    setPagination((prev) => ({ ...prev, pageIndex: 0 }));
+  }, []);
+
   const handleViewLog = useCallback((log: AuditLogEntry) => {
     setSelectedLog(log);
     setDrawerOpen(true);
@@ -128,6 +140,8 @@ export default function AuditLogsPanel({
         onPaginationChange={setPagination}
         columnFilters={columnFilters}
         onColumnFiltersChange={handleColumnFiltersChange}
+        searchValue={searchInput}
+        onSearchChange={handleSearchChange}
         onRefresh={() => query.refetch()}
         onViewLog={handleViewLog}
       />

ui/litellm-dashboard/src/components/view_logs/AuditLogsTable.test.tsx

@@ -120,6 +120,24 @@ describe("AuditLogsTable", () => {
     expect(screen.getByText("No matching audit logs")).toBeInTheDocument();
   });
 
+  it("renders the toolbar search box from the search props and forwards typed input", () => {
+    const onSearchChange = vi.fn();
+    renderTable({ searchValue: "team-", onSearchChange });
+
+    const input = screen.getByPlaceholderText("Search audit logs by ID…");
+    expect(input).toHaveValue("team-");
+
+    fireEvent.change(input, { target: { value: "team-7" } });
+    expect(onSearchChange).toHaveBeenCalledWith("team-7");
+  });
+
+  it("treats an active search as a filter for the empty state", () => {
+    const emptySearchResult = { data: [], rowCount: 0, searchValue: "zzz", onSearchChange: vi.fn() };
+    renderTable(emptySearchResult);
+
+    expect(screen.getByText("No matching audit logs")).toBeInTheDocument();
+  });
+
   it("renders active filter chips with human-readable labels", () => {
     const filters: ColumnFiltersState = [{ id: "action", value: "created" }];
     renderTable({ columnFilters: filters });

ui/litellm-dashboard/src/components/view_logs/AuditLogsTable.tsx

@@ -24,6 +24,8 @@ interface AuditLogsTableProps {
   onPaginationChange: OnChangeFn<PaginationState>;
   columnFilters: ColumnFiltersState;
   onColumnFiltersChange: OnChangeFn<ColumnFiltersState>;
+  searchValue?: string;
+  onSearchChange?: (value: string) => void;
   onRefresh: () => void;
   onViewLog: (log: AuditLogEntry) => void;
 }
@@ -102,11 +104,14 @@ export function AuditLogsTable({
   onPaginationChange,
   columnFilters,
   onColumnFiltersChange,
+  searchValue,
+  onSearchChange,
   onRefresh,
   onViewLog,
 }: AuditLogsTableProps) {
   const [filtersOpen, setFiltersOpen] = useState(false);
   const columns = useMemo(() => getAuditLogsTableColumns({ onViewLog }), [onViewLog]);
+  const hasActiveSearch = Boolean(searchValue?.trim());
 
   return (
     <DataTable
@@ -122,12 +127,15 @@ export function AuditLogsTable({
       onColumnFiltersChange={onColumnFiltersChange}
       isLoading={isLoading}
       loadingMessage="Loading audit logs…"
-      noDataMessage={<AuditLogsEmptyState filtered={columnFilters.length > 0} />}
+      noDataMessage={<AuditLogsEmptyState filtered={columnFilters.length > 0 || hasActiveSearch} />}
       size="compact"
       toolbar={(table) => (
         <>
           <DataTableToolbar
             table={table}
+            searchValue={searchValue}
+            onSearchChange={onSearchChange}
+            searchPlaceholder="Search audit logs by ID…"
             onRefresh={onRefresh}
             isRefreshing={isRefreshing}
             onOpenFilters={() => setFiltersOpen(true)}

ui/litellm-dashboard/src/components/view_logs/RequestLogsPanel.test.tsx

@@ -54,6 +54,14 @@ vi.mock("./LogDetailsDrawer", () => ({
   },
 }));
 
+const debounce = vi.hoisted(() => ({ settled: null as string | null }));
+
+vi.mock("@tanstack/react-pacer/debouncer", () => ({
+  useDebouncedValue: vi.fn((value: unknown) => [debounce.settled ?? value, { cancel: vi.fn(), flush: vi.fn() }]),
+}));
+
+import { useDebouncedValue } from "@tanstack/react-pacer/debouncer";
+import { DEBOUNCE_WAIT_MS } from "@/utils/debounceConstants";
 import { uiSpendLogsCall } from "../networking";
 
 const logEntry = (overrides: Partial<LogEntry>): LogEntry => ({
@@ -136,6 +144,7 @@ describe("RequestLogsPanel", () => {
     sessionStorage.clear();
     testQueryClient.clear();
     respondWith([]);
+    debounce.settled = null;
   });
 
   describe("server-grouped session pagination (#38060)", () => {
@@ -322,9 +331,8 @@ describe("RequestLogsPanel", () => {
     });
   });
 
-  describe("search by request id (LIT-3981)", () => {
-    it("sends the typed request id to the server on the first page instead of filtering the loaded rows", async () => {
-      const user = userEvent.setup();
+  describe("search by any id (LIT-3981, LIT-4741)", () => {
+    it("sends the typed id to the server as search on the first page instead of filtering the loaded rows", async () => {
       renderPanel();
 
       await waitFor(() => expect(uiSpendLogsCall).toHaveBeenCalled());
@@ -334,9 +342,54 @@ describe("RequestLogsPanel", () => {
       await waitFor(() => {
         const call = lastCall();
         if (!call) throw new Error("uiSpendLogsCall was not called");
-        expect(call.params?.request_id).toBe("req-on-another-page");
+        expect(call.params?.search).toBe("req-on-another-page");
         expect(call.page).toBe(1);
       });
+      expect(lastCall()?.params?.request_id).toBeUndefined();
+      expect(lastCall()?.params?.session_cursor).toBeUndefined();
+    });
+
+    it("sends the debounced value to the server while the box shows what is being typed", async () => {
+      debounce.settled = "settled-id";
+      renderPanel();
+
+      await waitFor(() => expect(uiSpendLogsCall).toHaveBeenCalled());
+
+      fireEvent.change(screen.getByTestId("datatable-search"), { target: { value: "still-typing" } });
+
+      expect(screen.getByTestId("datatable-search")).toHaveValue("still-typing");
+      await waitFor(() =>
+        expect(useDebouncedValue).toHaveBeenLastCalledWith("still-typing", { wait: DEBOUNCE_WAIT_MS }),
+      );
+      await waitFor(() => expect(lastCall()?.params?.search).toBe("settled-id"));
+      const sentLiveValue = vi
+        .mocked(uiSpendLogsCall)
+        .mock.calls.some(([options]) => options.params?.search === "still-typing");
+      expect(sentLiveValue).toBe(false);
+    });
+
+    it("shows a Search chip whose remove button clears the box and restores the unsearched listing", async () => {
+      const user = userEvent.setup();
+      vi.mocked(uiSpendLogsCall).mockImplementation(async ({ params }) => {
+        const data =
+          params?.search === "sess-42"
+            ? [logEntry({ request_id: "req-sess", session_id: "sess-42" })]
+            : [logEntry({ request_id: "req-initial" })];
+        return { data, total: data.length, page: 1, page_size: 50, total_pages: 1 };
+      });
+      renderPanel();
+
+      await waitFor(() => expect(row("req-initial")).not.toBeNull());
+      fireEvent.change(screen.getByTestId("datatable-search"), { target: { value: "sess-42" } });
+      await waitFor(() => expect(row("req-sess")).not.toBeNull());
+      expect(row("req-initial")).toBeNull();
+      expect(screen.getByTestId("filter-chip-search")).toHaveTextContent("Search:sess-42");
+
+      await user.click(screen.getByRole("button", { name: "Remove Search filter" }));
+
+      expect(screen.getByTestId("datatable-search")).toHaveValue("");
+      await waitFor(() => expect(row("req-initial")).not.toBeNull());
+      expect(row("req-sess")).toBeNull();
     });
   });
 

ui/litellm-dashboard/src/components/view_logs/RequestLogsPanel.tsx

@@ -1,11 +1,13 @@
 "use client";
 
+import { useDebouncedValue } from "@tanstack/react-pacer/debouncer";
 import { useQuery, type UseQueryOptions } from "@tanstack/react-query";
 import type { ColumnFiltersState, OnChangeFn, PaginationState, SortingState } from "@tanstack/react-table";
 import moment from "moment";
 import { useCallback, useEffect, useMemo, useState } from "react";
 
 import { AutoRouterModelGroupsProvider } from "@/components/shared/table_cells";
+import { DEBOUNCE_WAIT_MS } from "@/utils/debounceConstants";
 import type { KeyResponse } from "../key_team_helpers/key_list";
 import { keyInfoV1Call, uiSpendLogsCall } from "../networking";
 import KeyInfoView from "../templates/key_info_view";
@@ -75,12 +77,22 @@ export default function RequestLogsPanel({ accessToken, token, userRole, userID,
     sessionStorage.setItem("excludeInternalHealthChecks", JSON.stringify(excludeInternalHealthChecks));
   }, [excludeInternalHealthChecks]);
 
+  const searchTerm = useMemo(() => {
+    const entry = columnFilters.find((filter) => filter.id === LOG_FILTER_IDS.SEARCH);
+    return typeof entry?.value === "string" ? entry.value : "";
+  }, [columnFilters]);
+  const [debouncedSearch] = useDebouncedValue(searchTerm, { wait: DEBOUNCE_WAIT_MS });
+  const queryColumnFilters = useMemo<ColumnFiltersState>(() => {
+    const others = columnFilters.filter((filter) => filter.id !== LOG_FILTER_IDS.SEARCH);
+    return debouncedSearch === "" ? others : [...others, { id: LOG_FILTER_IDS.SEARCH, value: debouncedSearch }];
+  }, [columnFilters, debouncedSearch]);
+
   const { logsQuery, filteredLogs, allTeams, usesSessionCursor } = useLogFilterLogic({
     accessToken,
     token,
     userRole,
     userID,
-    columnFilters,
+    columnFilters: queryColumnFilters,
     activeTab: isActive ? "request logs" : "inactive",
     isLiveTail,
     excludeInternalHealthChecks,
@@ -155,15 +167,10 @@ export default function RequestLogsPanel({ accessToken, token, userRole, userID,
 
   const rows: LogEntry[] = filteredLogs.data;
 
-  const searchTerm = useMemo(() => {
-    const entry = columnFilters.find((filter) => filter.id === LOG_FILTER_IDS.REQUEST_ID);
-    return typeof entry?.value === "string" ? entry.value : "";
-  }, [columnFilters]);
-
   const handleSearchChange = useCallback((value: string) => {
     setColumnFilters((previous) => {
-      const others = previous.filter((filter) => filter.id !== LOG_FILTER_IDS.REQUEST_ID);
-      return value === "" ? others : [...others, { id: LOG_FILTER_IDS.REQUEST_ID, value }];
+      const others = previous.filter((filter) => filter.id !== LOG_FILTER_IDS.SEARCH);
+      return value === "" ? others : [...others, { id: LOG_FILTER_IDS.SEARCH, value }];
     });
     setSessionCursors({});
     setPagination((previous) => ({ ...previous, pageIndex: 0 }));

ui/litellm-dashboard/src/components/view_logs/RequestLogsTable.tsx

@@ -108,7 +108,7 @@ export function RequestLogsTable({
             table={table}
             searchValue={searchValue}
             onSearchChange={onSearchChange}
-            searchPlaceholder="Search by Request ID"
+            searchPlaceholder="Search logs by ID…"
             onRefresh={onRefresh}
             isRefreshing={isRefreshing}
             onOpenFilters={() => setFiltersOpen(true)}

ui/litellm-dashboard/src/components/view_logs/log_filter_logic.test.tsx

@@ -91,6 +91,7 @@ describe("useLogFilterLogic", () => {
       { id: LOG_FILTER_IDS.ERROR_CODE, value: "429", param: "error_code" },
       { id: LOG_FILTER_IDS.ERROR_MESSAGE, value: "rate limited", param: "error_message" },
       { id: LOG_FILTER_IDS.USER_ID, value: "user-9", param: "user_id" },
+      { id: LOG_FILTER_IDS.SEARCH, value: "any-id", param: "search" },
     ];
 
     it.each(cases)("sends $id as $param", async ({ id, value, param }) => {

ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx

@@ -33,6 +33,7 @@ export const LOG_FILTER_IDS = {
   PUBLIC_MODEL_OR_SEARCH_TOOL: "model",
   REQUEST_ID: "request_id",
   USER_ID: "user_id",
+  SEARCH: "search",
 } as const;
 
 export const LOG_FILTER_LABELS: Record<string, string> = {
@@ -48,6 +49,7 @@ export const LOG_FILTER_LABELS: Record<string, string> = {
   [LOG_FILTER_IDS.SESSION_ID]: "Session ID",
   [LOG_FILTER_IDS.MODEL_ID]: "Model",
   [LOG_FILTER_IDS.PUBLIC_MODEL_OR_SEARCH_TOOL]: "Public model / search tool",
+  [LOG_FILTER_IDS.SEARCH]: "Search",
 };
 
 export interface LogsWindow {
@@ -175,6 +177,7 @@ export function useLogFilterLogic({
           api_key: getFilterValue(columnFilters, LOG_FILTER_IDS.KEY_HASH),
           team_id: getFilterValue(columnFilters, LOG_FILTER_IDS.TEAM_ID),
           request_id: getFilterValue(columnFilters, LOG_FILTER_IDS.REQUEST_ID),
+          search: getFilterValue(columnFilters, LOG_FILTER_IDS.SEARCH),
           session_id: getFilterValue(columnFilters, LOG_FILTER_IDS.SESSION_ID),
           user_id: userIdFilter,
           end_user: getFilterValue(columnFilters, LOG_FILTER_IDS.END_USER),

ui/litellm-dashboard/src/lib/http/schema.d.ts

@@ -40904,6 +40904,8 @@ export interface operations {
                 object_team_id?: string | null;
                 /** @description Filter by token (key hash) present in before_value or updated_values JSON (PostgreSQL only) */
                 object_key_hash?: string | null;
+                /** @description Match a row whose id, object_id, changed_by, or changed_by_api_key equals this value */
+                search?: string | null;
                 /** @description Column to sort by (e.g. 'updated_at', 'action', 'table_name') */
                 sort_by?: string | null;
                 /** @description Sort order ('asc' or 'desc') */
@@ -49622,6 +49624,8 @@ export interface operations {
                 key_hash?: string | null;
                 /** @description Filter keys by key alias. Exact match by default; set substring_matching=true (admin only) for case-insensitive substring matching. */
                 key_alias?: string | null;
+                /** @description Combined search: matches keys whose token (key hash) equals the value OR whose key_alias contains it (case-insensitive). */
+                search?: string | null;
                 /** @description Return full key object */
                 return_full_object?: boolean;
                 /** @description Include all keys for teams that user is an admin of. */
@@ -56880,6 +56884,8 @@ export interface operations {
                 group_by_session?: boolean;
                 /** @description Keyset cursor '<last_activity>|<api_key>|<session_key>' from a previous group_by_session page. UI route only, honored when sorting by startTime */
                 session_cursor?: string | null;
+                /** @description Match a log whose request_id, api_key (hash), team_id, user, end_user, session_id, or model_id equals this value. request_id matches across all time; the other columns match inside start_date/end_date, which stay required */
+                search?: string | null;
             };
             header?: never;
             path?: never;
@@ -56996,6 +57002,8 @@ export interface operations {
                 group_by_session?: boolean;
                 /** @description Keyset cursor '<last_activity>|<api_key>|<session_key>' from a previous group_by_session page. UI route only, honored when sorting by startTime */
                 session_cursor?: string | null;
+                /** @description Match a log whose request_id, api_key (hash), team_id, user, end_user, session_id, or model_id equals this value. request_id matches across all time; the other columns match inside start_date/end_date, which stay required */
+                search?: string | null;
             };
             header?: never;
             path?: never;
@@ -63308,6 +63316,8 @@ export interface operations {
                 key?: string | null;
                 /** @description Filter by key prefix (Redis-style namespace scan). Mutually exclusive with `key`; if both are provided, `key_prefix` wins. */
                 key_prefix?: string | null;
+                /** @description Match entries whose key starts with this value or whose memory_id equals it. Takes precedence over `key_prefix` and `key` when provided. */
+                search?: string | null;
                 page?: number;
                 page_size?: number;
             };