= ({
+ {classifierType === "jev" && }
{usesLlmClassifier(classifierType) && (
@@ -591,6 +601,10 @@ const ClassificationMethodConfig: React.FC = ({
/>
)}
+
+ )}
+ {usesClassifierContext(classifierType) && (
+
- (["llm", "heuristic_first", "hybrid", "capability", "llm_v2"] as const).some((type) => type === classifierType);
-
export type ClassifierFallback = "heuristic" | "default_model";
export const DEFAULT_CLASSIFIER_FALLBACK: ClassifierFallback = "heuristic";
@@ -200,7 +186,7 @@ export const heuristicScoringRole = (value: ComplexityRouterConfigValue): Heuris
// Derived, never written into the value, so undoing a tier edit reverts the form with nothing left behind.
export const effectiveClassifierType = (
value: Pick,
-): ClassifierType => (value.custom_tier_set ? "llm" : value.classifier_type);
+): ClassifierType => (value.custom_tier_set && value.classifier_type !== "jev" ? "llm" : value.classifier_type);
const rowOrigin = (row: TierRow, editing: boolean): string => {
if (!editing) return row.id;
@@ -251,8 +237,8 @@ const TierSetToolbar: React.FC<{
{editing && (
- Add or remove tiers to define your own set. Every custom tier needs a definition the LLM classifier routes on,
- and an edited set requires the LLM classification method
+ Add or remove tiers to define your own set. Every custom tier needs a definition the classifier routes on, and
+ an edited set requires the LLM or JEV classification method
)}
{editing && keywordRulesError && (
@@ -271,7 +257,7 @@ const FallbackTierField: React.FC<{
Fallback Tier
-
+
@@ -377,6 +363,7 @@ export interface ComplexityRouterConfigValue {
capability_classifier_config?: CapabilitySettings;
llm_v2_config?: FuseSettings;
classifier_llm_config?: ClassifierLLMConfig;
+ jev_classifier_config?: JevClassifierConfig;
classifier_context_window_size?: number;
classifier_context_budget_chars?: number;
classifier_context_per_turn_chars?: number;
@@ -641,7 +628,11 @@ const ComplexityRouterConfig: React.FC
= ({
{!customTierSet && (
-
+
)}
{tierRows.map((row, index) => {
diff --git a/ui/litellm-dashboard/src/components/add_model/JevClassifierConfig.integration.test.tsx b/ui/litellm-dashboard/src/components/add_model/JevClassifierConfig.integration.test.tsx
new file mode 100644
index 00000000000..aae32f09959
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/JevClassifierConfig.integration.test.tsx
@@ -0,0 +1,158 @@
+import React, { useState } from "react";
+import { afterEach, describe, expect, it, vi } from "vitest";
+import { fireEvent, renderWithProviders, screen } from "../../../tests/test-utils";
+import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized";
+import ClassificationMethodConfig from "./ClassificationMethodConfig";
+import AutoRouterClassifierTabs from "./AutoRouterClassifierTabs";
+import JevEditor from "./JevClassifierConfig";
+import { type ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
+import {
+ buildUpdatedComplexityRouterConfig,
+ hydrateComplexityRouterConfig,
+} from "../edit_auto_router/edit_auto_router_modal";
+import { applyTierSetAction } from "./tier_set_actions";
+import { testAutoRouterRouting } from "../networking";
+import { buildSavedJevConnectionTestRequest } from "./build_auto_router_routing_test_request";
+
+vi.mock("@/app/(dashboard)/hooks/useAuthorized", () => ({
+ default: vi.fn(() => ({
+ isLoading: false,
+ isAuthorized: true,
+ token: "token",
+ accessToken: "token",
+ userId: "user",
+ userEmail: "user@example.com",
+ userRole: "Admin",
+ userRoleLabel: "Admin",
+ isViewOnly: false,
+ premiumUser: false,
+ disabledPersonalKeyCreation: false,
+ showSSOBanner: false,
+ })),
+}));
+
+vi.mock("@/components/networking", async (importOriginal) => ({
+ ...(await importOriginal()),
+ getComplexityScorerDefaults: vi.fn(async () => ({
+ tier_boundaries: {},
+ token_thresholds: {},
+ dimension_weights: {},
+ })),
+ testAutoRouterRouting: vi.fn(async () => ({ status: "error", error: "fixture" })),
+}));
+
+const initial: ComplexityRouterConfigValue = {
+ classifier_type: "llm",
+ classifier_llm_config: { model: "judge", timeout_ms: 1000 },
+ tiers: { SIMPLE: ["fast"], MEDIUM: ["mid"], COMPLEX: ["strong"], REASONING: ["reasoner"] },
+};
+
+function Form() {
+ const [value, setValue] = useState(initial);
+ return (
+
+ {}}
+ />
+
+ setValue(
+ applyTierSetAction(value, [], {
+ kind: "patch",
+ id: "SIMPLE",
+ patch: { name: "QUICK", definition: "Quick tasks" },
+ }).value,
+ )
+ }
+ >
+ Customize tiers
+
+
+ setValue(hydrateComplexityRouterConfig(buildUpdatedComplexityRouterConfig({}, value), undefined))
+ }
+ >
+ Save and reload
+
+ {
+ const request = buildSavedJevConnectionTestRequest(buildUpdatedComplexityRouterConfig({}, value));
+ if (request) void testAutoRouterRouting("token", request);
+ }}
+ >
+ Probe current config
+
+
+ );
+}
+
+describe("JEV classifier editor", () => {
+ afterEach(() => vi.mocked(useAuthorized).mockReset());
+ it("uses built-in JEV without a license and preserves custom tiers and context through reload", () => {
+ renderWithProviders();
+ expect(screen.getByLabelText("Classifier Model")).toBeInTheDocument();
+ expect(screen.getByText("Reasoning Effort")).toBeInTheDocument();
+ expect(screen.getByText("Classifier Prompt")).toBeInTheDocument();
+ expect(screen.getByRole("switch", { name: "Use images for classification" })).toBeInTheDocument();
+ fireEvent.click(screen.getByRole("radio", { name: /JEV Classifier/ }));
+ expect(screen.getByRole("tab", { name: "Complexity" })).toHaveAttribute("aria-selected", "true");
+ expect(screen.getByLabelText("JEV Model")).toHaveValue("jev-latest");
+ expect(screen.getByLabelText("JEV Instructions")).toBeDisabled();
+ expect(screen.queryByLabelText("Classifier Model")).not.toBeInTheDocument();
+ expect(screen.queryByText("Reasoning Effort")).not.toBeInTheDocument();
+ expect(screen.queryByText("Classifier Prompt")).not.toBeInTheDocument();
+ expect(screen.queryByRole("switch", { name: "Use images for classification" })).not.toBeInTheDocument();
+ fireEvent.change(screen.getByLabelText("JEV Model"), { target: { value: "jev-test" } });
+ fireEvent.change(screen.getByLabelText("JEV Timeout (ms)"), { target: { value: "4200" } });
+ fireEvent.change(screen.getByLabelText("Context Window Size"), { target: { value: "6" } });
+ fireEvent.change(screen.getByLabelText("Circuit breaker cooldown (seconds)"), { target: { value: "50" } });
+ fireEvent.click(screen.getByRole("switch", { name: "Classifier circuit breaker" }));
+ fireEvent.click(screen.getByRole("button", { name: "Customize tiers" }));
+ fireEvent.click(screen.getByRole("button", { name: "Save and reload" }));
+ expect(screen.getByRole("radio", { name: /JEV Classifier/ })).toBeChecked();
+ expect(screen.getByLabelText("JEV Model")).toHaveValue("jev-test");
+ expect(screen.getByLabelText("JEV Timeout (ms)")).toHaveValue(4200);
+ expect(screen.getByLabelText("Context Window Size")).toHaveValue("6");
+ expect(screen.getByRole("switch", { name: "Classifier circuit breaker" })).not.toBeChecked();
+ fireEvent.click(screen.getByRole("button", { name: "Probe current config" }));
+ expect(testAutoRouterRouting).toHaveBeenCalledWith(
+ "token",
+ expect.objectContaining({
+ complexity_router_config: expect.objectContaining({
+ classifier_type: "jev",
+ jev_classifier_config: {
+ model: "jev-test",
+ timeout_ms: 4200,
+ circuit_breaker_enabled: false,
+ circuit_breaker_cooldown_seconds: 50,
+ },
+ tiers: expect.objectContaining({ QUICK: ["fast"] }),
+ }),
+ }),
+ );
+ });
+
+ it("allows licensed instructions and can restore built-in instructions", () => {
+ const authorized = useAuthorized();
+ vi.mocked(useAuthorized).mockReturnValue({ ...authorized, premiumUser: true });
+ const LicensedForm = () => {
+ const [value, setValue] = useState({
+ ...initial,
+ classifier_type: "jev",
+ jev_classifier_config: { model: "jev-latest", timeout_ms: 3000, instructions: "Existing instructions" },
+ });
+ return ;
+ };
+ renderWithProviders( );
+ expect(screen.getByLabelText("JEV Instructions")).toBeEnabled();
+ fireEvent.change(screen.getByLabelText("JEV Instructions"), { target: { value: "New instructions" } });
+ expect(screen.getByLabelText("JEV Instructions")).toHaveValue("New instructions");
+ fireEvent.click(screen.getByRole("button", { name: "Restore built-in JEV instructions" }));
+ expect(screen.getByLabelText("JEV Instructions")).toHaveValue("");
+ });
+});
diff --git a/ui/litellm-dashboard/src/components/add_model/JevClassifierConfig.tsx b/ui/litellm-dashboard/src/components/add_model/JevClassifierConfig.tsx
new file mode 100644
index 00000000000..25286eaef07
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/JevClassifierConfig.tsx
@@ -0,0 +1,88 @@
+import React, { useId } from "react";
+import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized";
+import { Button } from "@/components/ui/button";
+import { Input } from "@/components/ui/input";
+import { Label } from "@/components/ui/label";
+import { Textarea } from "@/components/ui/textarea";
+import { SimpleTooltip } from "@/components/ui/tooltip";
+import ClassifierCircuitBreakerConfig from "./ClassifierCircuitBreakerConfig";
+import type { ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
+import { defaultJevClassifierConfig } from "./jev_classifier_config";
+
+export default function JevClassifierConfig({
+ value,
+ onChange,
+}: {
+ value: ComplexityRouterConfigValue;
+ onChange: (value: ComplexityRouterConfigValue) => void;
+}) {
+ const id = useId();
+ const { premiumUser } = useAuthorized();
+ const config = value.jev_classifier_config ?? defaultJevClassifierConfig();
+ const update = (patch: Partial) =>
+ onChange({ ...value, jev_classifier_config: { ...config, ...patch } });
+
+ return (
+
+
+ Uses TypeSafe System One Choice evaluation with your configured tiers
+
+
+ JEV Model
+ update({ model: event.target.value })} />
+
+
+ JEV Timeout (ms)
+ update({ timeout_ms: Number(event.target.value) })}
+ />
+
+
+ update({
+ circuit_breaker_enabled: next.circuit_breaker_enabled,
+ circuit_breaker_cooldown_seconds: next.circuit_breaker_cooldown_seconds,
+ })
+ }
+ />
+
+
JEV Instructions
+
+
+
+
+ {config.instructions && (
+
update({ instructions: undefined })}>
+ Restore built-in JEV instructions
+
+ )}
+
+ Built-in JEV is available without a license and uses the shipped tier criteria
+ {!premiumUser && (
+ <>
+ . Custom instructions require LiteLLM Enterprise. Get a trial key{" "}
+
+ here
+
+ >
+ )}
+
+
+
+ );
+}
diff --git a/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx b/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx
new file mode 100644
index 00000000000..8f0ad88eb65
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx
@@ -0,0 +1,148 @@
+import { afterEach, describe, expect, it, vi } from "vitest";
+import { fireEvent, renderWithProviders, screen, waitFor } from "../../../tests/test-utils";
+import AutoRouterConnectionTest from "./auto_router_connection_test";
+import AutoRouterRoutingTest from "./AutoRouterRoutingTest";
+import { buildAutoRouterTestTargets } from "./build_auto_router_test_targets";
+import {
+ buildSavedJevConnectionTestRequest,
+ JEV_CONNECTION_TEST_PROMPT,
+} from "./build_auto_router_routing_test_request";
+import { buildComplexityRouterConfig } from "./build_complexity_router_config";
+
+vi.mock(
+ "@/app/(dashboard)/hooks/autoRouter/useComplexityScorerDefaults",
+ async () => await import("../../../tests/mocks/complexityScorerDefaults"),
+);
+
+const config = buildComplexityRouterConfig({
+ classifierType: "jev",
+ jevClassifierConfig: { model: "jev-latest", timeout_ms: 3000 },
+ tiers: { SIMPLE: ["fast"], MEDIUM: ["mid"], COMPLEX: ["strong"], REASONING: ["reasoner"] },
+ defaultModel: undefined,
+ planModeMinTier: undefined,
+ tierLabels: undefined,
+ classifierLlmConfig: undefined,
+ classifierContextWindowSize: undefined,
+ classifierContextBudgetChars: undefined,
+ classifierContextIncludeAssistantTurns: undefined,
+ classifierFallback: undefined,
+ classificationPrompt: undefined,
+ classificationExamples: undefined,
+ heuristicFirstMaxTier: undefined,
+ classificationMode: undefined,
+ sessionAffinity: false,
+ deploymentAffinity: true,
+ customTechnicalKeywords: [],
+ keywordTierRules: [],
+ semanticMatchingEnabled: false,
+ embeddingModel: undefined,
+ matchThreshold: 0.5,
+ escalationKeywords: [],
+ adaptive: false,
+ adaptiveWeights: { quality: 0.3, cost: 0.7 },
+ tierDistancePenalty: 0.5,
+ adaptiveEligible: "all",
+ returnRawModelName: false,
+});
+const request = buildSavedJevConnectionTestRequest(JSON.stringify(config), "fast", "my-router");
+const targets = buildAutoRouterTestTargets({
+ tiers: Object.entries(config.tiers),
+ semanticMatchingEnabled: false,
+ embeddingModel: undefined,
+});
+const response = (cause: string) => ({
+ routed_model: "fast",
+ routed_model_configured: true,
+ routing_decision: {
+ cause,
+ tier: "SIMPLE",
+ classifier_model: "jev-latest",
+ classifier_confidence: 0.8,
+ classifier_probabilities: { SIMPLE: 0.8, REASONING: 0.2 },
+ classifier_cost: 0.00001234,
+ },
+});
+
+afterEach(() => vi.unstubAllGlobals());
+
+describe("JEV network probes", () => {
+ it.each(["jev_classifier", "classifier_fallback", "default_model_fallback", "keyword_match"])(
+ "probes the routing endpoint independently of tier models and checks the cause %s",
+ async (cause) => {
+ const fetchMock = vi.fn(
+ async (input) =>
+ new Response(JSON.stringify(String(input).endsWith("/auto_router/test_routing") ? response(cause) : {})),
+ );
+ vi.stubGlobal("fetch", fetchMock);
+ const onTestComplete = vi.fn();
+ renderWithProviders(
+ ,
+ );
+ await waitFor(() => expect(onTestComplete).toHaveBeenCalledOnce());
+ expect(fetchMock).toHaveBeenCalledWith(
+ expect.stringContaining("/auto_router/test_routing"),
+ expect.objectContaining({
+ method: "POST",
+ body: expect.any(String),
+ }),
+ );
+ const routingCall = fetchMock.mock.calls.find(([url]) => String(url).endsWith("/auto_router/test_routing"));
+ expect(JSON.parse(String(routingCall?.[1]?.body))).toEqual({
+ prompt: JEV_CONNECTION_TEST_PROMPT,
+ complexity_router_config: config,
+ default_model: "fast",
+ router_name: "my-router",
+ });
+ expect(fetchMock).toHaveBeenCalledTimes(5);
+ expect(screen.getAllByTestId("test-status-success")).toHaveLength(4);
+ expect(screen.getByRole("status", { name: "JEV connection" })).toHaveTextContent(
+ cause === "jev_classifier"
+ ? "JEV classification succeeded"
+ : `JEV was not reached successfully (routing cause: ${cause})`,
+ );
+ },
+ );
+
+ it("shows routing diagnostics from the real networking response", async () => {
+ vi.stubGlobal(
+ "fetch",
+ vi.fn(async () => new Response(JSON.stringify(response("jev_classifier")))),
+ );
+ renderWithProviders(
+ ,
+ );
+ fireEvent.change(screen.getByTestId("auto-router-routing-test-prompt"), { target: { value: "Hello" } });
+ fireEvent.click(screen.getByTestId("auto-router-routing-test-send"));
+ expect(await screen.findByText("JEV classifier")).toBeInTheDocument();
+ expect(screen.getByText("jev-latest")).toBeInTheDocument();
+ expect(screen.getByText("80.0%")).toBeInTheDocument();
+ expect(screen.getByText("SIMPLE: 80.0%")).toBeInTheDocument();
+ expect(screen.getByText("REASONING: 20.0%")).toBeInTheDocument();
+ expect(screen.getByText("$0.00001234")).toBeInTheDocument();
+ });
+
+ it("reports a classifier endpoint error while still checking downstream models", async () => {
+ vi.stubGlobal(
+ "fetch",
+ vi.fn(async (input) =>
+ String(input).endsWith("/auto_router/test_routing")
+ ? new Response(JSON.stringify({ detail: "JEV classifier unavailable" }), { status: 503 })
+ : new Response("{}"),
+ ),
+ );
+ renderWithProviders( );
+ expect(await screen.findByText("JEV classifier unavailable")).toBeInTheDocument();
+ expect(screen.getAllByTestId("test-status-success")).toHaveLength(4);
+ });
+});
diff --git a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
index 5ca0d5517af..c373d360ba1 100644
--- a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
@@ -39,7 +39,7 @@ const NonReasoningTierToggle: React.FC<{
Adds NON_REASONING below Simple, for operational agent traffic that relays or reformats information rather than
reasoning about it. Escalation still moves up out of it when a request needs more.
- {!available && " Requires the LLM classification method."}
+ {!available && " Requires the LLM or JEV classification method"}
>
diff --git a/ui/litellm-dashboard/src/components/add_model/TierConfigIntro.tsx b/ui/litellm-dashboard/src/components/add_model/TierConfigIntro.tsx
index 4b14307dda5..7d6e0d997d1 100644
--- a/ui/litellm-dashboard/src/components/add_model/TierConfigIntro.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/TierConfigIntro.tsx
@@ -4,6 +4,9 @@ import { type ComplexityRouterConfigValue, heuristicScoringRole, usesLlmClassifi
import { restrictedBy } from "./TierRestrictions";
const tierConfigIntroText = (value: ComplexityRouterConfigValue): string => {
+ if (value.classifier_type === "jev") {
+ return "JEV classifies each request with TypeSafe System One Choice evaluation and routes it to a tier. Configure which models handle each tier";
+ }
if (value.classifier_type === "heuristic_v2") {
return "The complexity router classifies each request with a calibrated local four-tier model (no API calls). Configure which model(s) handle each tier.";
}
diff --git a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
index 126d9ba2311..8a4f6e4eac9 100644
--- a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
@@ -57,7 +57,11 @@ import {
import { activeTierName, activeTierRows, getCustomTierRowsError, resolveComplexityDefaultModel } from "./tier_rows";
import { tierRowLabel } from "./complexity_router_tiers";
import { buildAutoRouterTestTargets, AutoRouterTestTarget } from "./build_auto_router_test_targets";
-import AutoRouterConnectionTest from "./auto_router_connection_test";
+import { AutoRouterConnectionTestDialog } from "./auto_router_connection_test";
+import {
+ buildAutoRouterRoutingTestRequest,
+ JEV_CONNECTION_TEST_PROMPT,
+} from "./build_auto_router_routing_test_request";
import AutoRouterRoutingTest from "./AutoRouterRoutingTest";
import { toast } from "@/lib/toast";
import {
@@ -405,6 +409,7 @@ const AddAutoRouterTab: React.FC = ({
classificationMode: complexityRouterConfig.classification_mode,
tierLabels: complexityRouterConfig.tier_labels,
classifierType: complexityRouterConfig.classifier_type,
+ jevClassifierConfig: complexityRouterConfig.jev_classifier_config,
capabilityClassifierConfig: complexityRouterConfig.capability_classifier_config,
llmV2Config: complexityRouterConfig.llm_v2_config,
classifierLlmConfig: complexityRouterConfig.classifier_llm_config,
@@ -839,41 +844,31 @@ const AddAutoRouterTab: React.FC = ({
- {
- if (!open) {
- setIsTestModalVisible(false);
- setIsTestingConnection(false);
- }
+ onClose={() => {
+ setIsTestModalVisible(false);
+ setIsTestingConnection(false);
}}
- >
-
-
- Connection Test Results
-
- {isTestModalVisible && (
- setIsTestingConnection(false)}
- />
- )}
-
- {" "}
- {
- setIsTestModalVisible(false);
- setIsTestingConnection(false);
- }}
- >
- Close
-
-
-
-
+ testId={connectionTestId}
+ accessToken={accessToken}
+ targets={testTargets}
+ jevRequest={
+ effectiveClassifierType(complexityRouterConfig) === "jev"
+ ? buildAutoRouterRoutingTestRequest({
+ prompt: JEV_CONNECTION_TEST_PROMPT,
+ config: buildComplexityRouterConfig(complexityRouterConfigParams),
+ defaultModel: resolveComplexityDefaultModel(
+ complexityRouterConfig,
+ complexityRouterConfig.default_model,
+ ),
+ routerName: watchedName,
+ teamId: requiresTeamScope ? watchedTeamId ?? undefined : undefined,
+ })
+ : undefined
+ }
+ onTestComplete={() => setIsTestingConnection(false)}
+ />
);
};
diff --git a/ui/litellm-dashboard/src/components/add_model/auto_router_connection_test.tsx b/ui/litellm-dashboard/src/components/add_model/auto_router_connection_test.tsx
index 6ff9b8c8f83..83ce3d30f0e 100644
--- a/ui/litellm-dashboard/src/components/add_model/auto_router_connection_test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/auto_router_connection_test.tsx
@@ -1,12 +1,20 @@
import React from "react";
import { CircleCheck, CircleX, LoaderCircle } from "lucide-react";
-import { testModelGroupConnection, ModelGroupConnectionResult } from "../networking";
+import {
+ testModelGroupConnection,
+ ModelGroupConnectionResult,
+ testAutoRouterRouting,
+ AutoRouterRoutingTestRequest,
+} from "../networking";
import { AutoRouterTestTarget } from "./build_auto_router_test_targets";
+import { Dialog, DialogContent, DialogFooter, DialogHeader, DialogTitle } from "@/components/ui/dialog";
+import { Button } from "@/components/ui/button";
interface AutoRouterConnectionTestProps {
accessToken: string;
targets: AutoRouterTestTarget[];
+ jevRequest?: AutoRouterRoutingTestRequest;
onTestComplete?: () => void;
}
@@ -20,15 +28,36 @@ const cleanErrorMessage = (error: string): string => {
const AutoRouterConnectionTest: React.FC = ({
accessToken,
targets,
+ jevRequest,
onTestComplete,
}) => {
const [results, setResults] = React.useState(() => targets.map(() => ({ status: "pending" })));
+ const [jevResult, setJevResult] = React.useState({ status: "pending" });
React.useEffect(() => {
let cancelled = false;
+ const probeJev = async () => {
+ if (!jevRequest) return;
+ const response = await testAutoRouterRouting(accessToken, jevRequest);
+ if (cancelled) return;
+ if (response.status === "error") {
+ setJevResult(response);
+ return;
+ }
+ const decision = response.result.routing_decision;
+ setJevResult(
+ decision.cause === "jev_classifier"
+ ? { status: "success" }
+ : {
+ status: "error",
+ error: `JEV was not reached successfully (routing cause: ${decision.cause ?? "unknown"})`,
+ },
+ );
+ };
const run = async () => {
- await Promise.all(
- targets.map(async (target, index) => {
+ await Promise.all([
+ probeJev(),
+ ...targets.map(async (target, index) => {
const result = target.requestParams
? await testModelGroupConnection(accessToken, target.modelGroup, target.mode, target.requestParams)
: await testModelGroupConnection(accessToken, target.modelGroup, target.mode);
@@ -37,7 +66,7 @@ const AutoRouterConnectionTest: React.FC = ({
result.status === "error" ? { status: "error", error: cleanErrorMessage(result.error) } : result;
setResults((prev) => prev.map((r, i) => (i === index ? cleaned : r)));
}),
- );
+ ]);
if (!cancelled && onTestComplete) onTestComplete();
};
run();
@@ -47,7 +76,7 @@ const AutoRouterConnectionTest: React.FC = ({
// eslint-disable-next-line react-hooks/exhaustive-deps -- probes run once per mount; the parent remounts via `key` to start a fresh test, and re-running on prop identity changes would refire paid requests
}, []);
- if (targets.length === 0) {
+ if (targets.length === 0 && !jevRequest) {
return (
No complexity tiers are configured yet, so there is nothing to test.
@@ -61,6 +90,16 @@ const AutoRouterConnectionTest: React.FC = ({
Test Connection sends a minimal request to every configured tier, classifier, default, and embedding model. The
classifier probe includes its reasoning effort override.
+ {jevRequest && (
+
+
JEV Classifier
+
+ {jevResult.status === "pending" && "Testing JEV classification"}
+ {jevResult.status === "success" && "JEV classification succeeded"}
+ {jevResult.status === "error" && jevResult.error}
+
+
+ )}
{targets.map((target, index) => {
const result = results[index] ?? { status: "pending" };
return (
@@ -100,3 +139,26 @@ const AutoRouterConnectionTest: React.FC = ({
};
export default AutoRouterConnectionTest;
+
+export function AutoRouterConnectionTestDialog({
+ open,
+ onClose,
+ testId,
+ ...props
+}: AutoRouterConnectionTestProps & { open: boolean; onClose: () => void; testId: number }) {
+ return (
+ !next && onClose()}>
+
+
+ Connection Test Results
+
+ {open && }
+
+
+ Close
+
+
+
+
+ );
+}
diff --git a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
index 6678a3585c0..2aa02e40b5f 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
@@ -1,4 +1,9 @@
-import { buildAutoRouterRoutingTestRequest } from "./build_auto_router_routing_test_request";
+import { describe, expect, it } from "vitest";
+import {
+ buildAutoRouterRoutingTestRequest,
+ buildSavedJevConnectionTestRequest,
+ JEV_CONNECTION_TEST_PROMPT,
+} from "./build_auto_router_routing_test_request";
import { ComplexityRouterConfigPayload } from "./build_complexity_router_config";
const CONFIG = {
@@ -15,6 +20,36 @@ const params = {
};
describe("buildAutoRouterRoutingTestRequest", () => {
+ it.each(["object", "json"])("probes saved JEV %s configuration with custom tiers and team context", (format) => {
+ const config = {
+ classifier_type: "jev",
+ jev_classifier_config: { model: "jev-test", timeout_ms: 900 },
+ tiers: { QUICK: ["fast"], DEEP: ["strong"] },
+ tier_definitions: { QUICK: "Simple questions", DEEP: "Complex questions" },
+ fallback_tier: "DEEP",
+ classifier_context_window_size: 4,
+ };
+ expect(
+ buildSavedJevConnectionTestRequest(
+ format === "json" ? JSON.stringify(config) : config,
+ "strong",
+ "saved-router",
+ "team-1",
+ ),
+ ).toEqual({
+ prompt: JEV_CONNECTION_TEST_PROMPT,
+ complexity_router_config: config,
+ default_model: "strong",
+ router_name: "saved-router",
+ team_id: "team-1",
+ });
+ });
+ it.each([undefined, null, "not json", "[]", {}, { classifier_type: "llm", tiers: {} }, { classifier_type: "jev" }])(
+ "does not build a JEV probe for invalid or other classifier configurations: %j",
+ (config) => {
+ expect(buildSavedJevConnectionTestRequest(config)).toBeUndefined();
+ },
+ );
it("sends the prompt with the config being edited", () => {
const request = buildAutoRouterRoutingTestRequest(params);
diff --git a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts
index 219dcbf6070..022bd8ad539 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts
@@ -1,5 +1,38 @@
import { AutoRouterRoutingTestRequest } from "../networking";
import { ComplexityRouterConfigPayload } from "./build_complexity_router_config";
+import { z } from "zod";
+
+export const JEV_CONNECTION_TEST_PROMPT = "What is 2 plus 2?";
+
+export const buildSavedJevConnectionTestRequest = (
+ rawConfig: unknown,
+ defaultModel?: string,
+ routerName?: string,
+ teamId?: string,
+): AutoRouterRoutingTestRequest | undefined => {
+ const parsed: unknown =
+ typeof rawConfig === "string"
+ ? (() => {
+ try {
+ return JSON.parse(rawConfig) as unknown;
+ } catch {
+ return undefined;
+ }
+ })()
+ : rawConfig;
+ const result = z
+ .object({ classifier_type: z.literal("jev"), tiers: z.record(z.unknown()) })
+ .passthrough()
+ .safeParse(parsed);
+ if (!result.success) return undefined;
+ return {
+ prompt: JEV_CONNECTION_TEST_PROMPT,
+ complexity_router_config: result.data,
+ ...(defaultModel && { default_model: defaultModel }),
+ ...(routerName && { router_name: routerName }),
+ ...(teamId && { team_id: teamId }),
+ };
+};
export interface BuildAutoRouterRoutingTestRequestParams {
prompt: string;
diff --git a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
index 6e6e7a3c6cd..e03ec22b79f 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
@@ -1,3 +1,4 @@
+import { describe, expect, it } from "vitest";
import {
buildComplexityRouterConfig,
getPlanModeTierError,
@@ -24,6 +25,11 @@ const tiers = {
const baseParams: BuildComplexityRouterConfigParams = {
tiers,
+ defaultModel: undefined,
+ planModeMinTier: undefined,
+ classificationExamples: undefined,
+ heuristicFirstMaxTier: undefined,
+ classificationMode: undefined,
tierLabels: undefined,
classifierType: "heuristic",
classifierLlmConfig: undefined,
@@ -48,6 +54,94 @@ const baseParams: BuildComplexityRouterConfigParams = {
};
describe("buildComplexityRouterConfig", () => {
+ it("accepts built-in JEV defaults without an LLM classifier model", () => {
+ expect(getClassifierModelError({ classifier_type: "jev" })).toBeNull();
+ });
+
+ it.each([
+ { model: "" },
+ { model: " " },
+ { timeout_ms: 0 },
+ { timeout_ms: 1.5 },
+ { timeout_ms: Number.NaN },
+ { circuit_breaker_cooldown_seconds: -1 },
+ { circuit_breaker_cooldown_seconds: Number.POSITIVE_INFINITY },
+ ])("rejects invalid JEV settings before saving or testing: %j", (patch) => {
+ expect(
+ getClassifierModelError({
+ classifier_type: "jev",
+ jev_classifier_config: { model: "jev-latest", timeout_ms: 3000, ...patch },
+ }),
+ ).toBe("Enter a JEV model, a positive whole-number timeout and a positive cooldown");
+ });
+
+ it.each([false, true])("serializes JEV with shared context and no LLM config, custom tiers: %s", (custom) => {
+ const config = buildComplexityRouterConfig({
+ ...baseParams,
+ classifierType: "jev",
+ jevClassifierConfig: {
+ model: "jev-test",
+ timeout_ms: 4500,
+ instructions: " Choose the configured tier ",
+ circuit_breaker_enabled: false,
+ circuit_breaker_cooldown_seconds: 12.5,
+ },
+ classifierLlmConfig: { model: "stale", timeout_ms: 30 },
+ classificationPrompt: "stale prompt",
+ classificationExamples: "stale examples",
+ classifierContextWindowSize: 4,
+ classifierContextBudgetChars: 2000,
+ classifierContextIncludeAssistantTurns: true,
+ classifierFallback: "default_model",
+ ...(custom && {
+ customTierSet: {
+ tiers: [
+ { id: "quick", name: "QUICK", definition: "Short answers", models: ["fast"] },
+ { id: "review", name: "REVIEW", definition: "Deep review", models: ["strong"] },
+ ],
+ fallback_tier_id: "quick",
+ },
+ }),
+ });
+ expect(config.classifier_type).toBe("jev");
+ expect(config.jev_classifier_config).toEqual({
+ model: "jev-test",
+ timeout_ms: 4500,
+ instructions: "Choose the configured tier",
+ circuit_breaker_enabled: false,
+ circuit_breaker_cooldown_seconds: 12.5,
+ });
+ expect(config.classifier_context_window_size).toBe(4);
+ expect(config.classifier_context_budget_chars).toBe(2000);
+ expect(config.classifier_context_include_assistant_turns).toBe(true);
+ expect(config).not.toHaveProperty("classifier_llm_config");
+ expect(config).not.toHaveProperty("classification_prompt");
+ expect(config).not.toHaveProperty("classification_examples");
+ if (custom) {
+ expect(config.tiers).toEqual({ QUICK: ["fast"], REVIEW: ["strong"] });
+ expect(config.fallback_tier).toBe("QUICK");
+ } else {
+ expect(config.classifier_fallback).toBe("default_model");
+ expect(config.tiers).toEqual(tiers);
+ }
+ });
+
+ it("omits blank JEV instructions and ignores stale JEV settings when saving LLM", () => {
+ const jev = buildComplexityRouterConfig({
+ ...baseParams,
+ classifierType: "jev",
+ jevClassifierConfig: { model: "jev-latest", timeout_ms: 3000, instructions: " " },
+ });
+ expect(jev.jev_classifier_config).toEqual({ model: "jev-latest", timeout_ms: 3000 });
+ const llm = buildComplexityRouterConfig({
+ ...baseParams,
+ classifierType: "llm",
+ classifierLlmConfig: { model: "judge", timeout_ms: 1000 },
+ jevClassifierConfig: jev.jev_classifier_config,
+ });
+ expect(llm).not.toHaveProperty("jev_classifier_config");
+ });
+
it.each(["capability", "llm_v2", "heuristic"] as const)(
"disables the removed overrides only for forecast creates: %s",
(classifierType) => {
diff --git a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
index 8a377c17ad7..0b844b8ddd5 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
@@ -6,6 +6,11 @@ import {
} from "./forecast_classifier_config";
import type { ModelGroup } from "../llm_calls/fetch_models";
import { KeywordTierRule } from "./KeywordTierRules";
+import {
+ type JevClassifierConfig,
+ jevClassifierConfigSchema,
+ normalizeJevClassifierConfig,
+} from "./jev_classifier_config";
import {
type CustomTierSet,
type TierRow,
@@ -44,6 +49,7 @@ import {
effectiveTierLabel,
heuristicScoringRoleFor,
usesLlmClassifier,
+ usesClassifierContext,
} from "./ComplexityRouterConfig";
export type ClassifierVisionConfig = { enabled?: boolean; max_images?: number };
@@ -133,7 +139,7 @@ const scorerKnobPayload = ({
};
export interface StoredComplexityRouterConfig {
- tiers?: Partial>;
+ tiers?: Record;
enable_non_reasoning_tier?: boolean;
tier_model_configs?: unknown;
default_model?: string | null;
@@ -147,6 +153,7 @@ export interface StoredComplexityRouterConfig {
capability_classifier_config?: unknown;
llm_v2_config?: unknown;
classifier_llm_config?: ClassifierLLMConfig;
+ jev_classifier_config?: unknown;
classifier_context_window_size?: unknown;
classifier_context_budget_chars?: unknown;
classifier_context_include_assistant_turns?: unknown;
@@ -185,6 +192,7 @@ export interface BuildComplexityRouterConfigParams {
capabilityClassifierConfig?: CapabilitySettings;
llmV2Config?: FuseSettings;
classifierLlmConfig: ClassifierLLMConfigWire | undefined;
+ jevClassifierConfig?: JevClassifierConfig;
classifierContextWindowSize: number | undefined;
classifierContextBudgetChars: number | undefined;
classifierContextIncludeAssistantTurns: boolean | undefined;
@@ -251,6 +259,7 @@ export interface ComplexityRouterConfigPayload {
capability_classifier_config?: CapabilitySettings;
llm_v2_config?: FuseSettings;
classifier_llm_config?: ClassifierLLMConfig;
+ jev_classifier_config?: JevClassifierConfig;
classifier_context_window_size?: number;
classifier_context_budget_chars?: number;
classifier_context_per_turn_chars?: number;
@@ -356,11 +365,16 @@ export const getKeywordTierRulesError = (
return `Keyword rule(s) ${orphaned.join(", ")} route to a tier this router no longer has`;
};
-// An edited tier set forces the LLM classifier, so the model requirement follows the EFFECTIVE type.
-// Both forms' submit gates and their submit handlers read this one answer so they cannot drift.
export const getClassifierModelError = (
- config: Pick,
+ config: Pick<
+ ComplexityRouterConfigValue,
+ "custom_tier_set" | "classifier_type" | "classifier_llm_config" | "jev_classifier_config"
+ >,
): string | null => {
+ if (effectiveClassifierType(config) === "jev") {
+ const parsed = jevClassifierConfigSchema.safeParse(config.jev_classifier_config ?? {});
+ return parsed.success ? null : "Enter a JEV model, a positive whole-number timeout and a positive cooldown";
+ }
if (!usesLlmClassifier(effectiveClassifierType(config)) || config.classifier_llm_config?.model) return null;
return config.custom_tier_set
? "Please select a classifier model: an edited tier set routes with the LLM classifier"
@@ -395,6 +409,7 @@ export const getSemanticConfigError = ({
};
interface CustomTierWireFieldInputs {
+ classifierType?: ClassifierType;
classifierLlmConfig: ClassifierLLMConfigWire | undefined;
planModeMinTierId: string | undefined;
classificationPrompt: string | undefined;
@@ -403,7 +418,13 @@ interface CustomTierWireFieldInputs {
export const customTierWireFields = (
customTierSet: CustomTierSet,
- { classifierLlmConfig, planModeMinTierId, classificationPrompt, classificationExamples }: CustomTierWireFieldInputs,
+ {
+ classifierType,
+ classifierLlmConfig,
+ planModeMinTierId,
+ classificationPrompt,
+ classificationExamples,
+ }: CustomTierWireFieldInputs,
): Partial => {
const rows = customTierSet.tiers;
const fallback = tierRowById(rows, customTierSet.fallback_tier_id);
@@ -412,27 +433,30 @@ export const customTierWireFields = (
tiers: Object.fromEntries(rows.map((row) => [activeTierName(row), row.models])),
tier_definitions: tierDefinitionsFromRows(rows),
...(fallback && { fallback_tier: activeTierName(fallback) }),
- classifier_type: "llm",
+ classifier_type: classifierType === "jev" ? "jev" : "llm",
// Rebuilt from the fields an edited tier set allows. The backend rejects system_prompt and
// classification_rubric beside tier_definitions, and both live inside this object rather than at
// the top level the omit list covers. The opening instructions ride classification_prompt below.
- ...(classifierLlmConfig && {
- classifier_llm_config: {
- model: classifierLlmConfig.model,
- timeout_ms: classifierLlmConfig.timeout_ms,
- ...(classifierLlmConfig.circuit_breaker_enabled !== undefined && {
- circuit_breaker_enabled: classifierLlmConfig.circuit_breaker_enabled,
- }),
- ...(classifierLlmConfig.circuit_breaker_cooldown_seconds !== undefined && {
- circuit_breaker_cooldown_seconds: classifierLlmConfig.circuit_breaker_cooldown_seconds,
- }),
- ...(classifierLlmConfig.reasoning_effort && { reasoning_effort: classifierLlmConfig.reasoning_effort }),
- ...(classifierLlmConfig.vision && { vision: classifierLlmConfig.vision }),
- },
- }),
+ ...(classifierType !== "jev" &&
+ classifierLlmConfig && {
+ classifier_llm_config: {
+ model: classifierLlmConfig.model,
+ timeout_ms: classifierLlmConfig.timeout_ms,
+ ...(classifierLlmConfig.circuit_breaker_enabled !== undefined && {
+ circuit_breaker_enabled: classifierLlmConfig.circuit_breaker_enabled,
+ }),
+ ...(classifierLlmConfig.circuit_breaker_cooldown_seconds !== undefined && {
+ circuit_breaker_cooldown_seconds: classifierLlmConfig.circuit_breaker_cooldown_seconds,
+ }),
+ ...(classifierLlmConfig.reasoning_effort && { reasoning_effort: classifierLlmConfig.reasoning_effort }),
+ ...(classifierLlmConfig.vision && { vision: classifierLlmConfig.vision }),
+ },
+ }),
session_affinity: false,
- ...(classificationPrompt?.trim() && { classification_prompt: classificationPrompt.trim() }),
- ...(classificationExamples?.trim() && { classification_examples: classificationExamples.trim() }),
+ ...(classifierType !== "jev" &&
+ classificationPrompt?.trim() && { classification_prompt: classificationPrompt.trim() }),
+ ...(classifierType !== "jev" &&
+ classificationExamples?.trim() && { classification_examples: classificationExamples.trim() }),
...(floor && { plan_mode_min_tier: activeTierName(floor) }),
};
};
@@ -521,7 +545,7 @@ const classifierWireFields = (
| "classifierContextIncludeAssistantTurns"
>,
): Partial => {
- const supportsFallback = usesLlmClassifier(effectiveType) && !isForecastClassifier(effectiveType);
+ const supportsFallback = usesClassifierContext(effectiveType) && !isForecastClassifier(effectiveType);
return {
...(usesLlmClassifier(effectiveType) &&
classifierLlmConfig && {
@@ -534,15 +558,15 @@ const classifierWireFields = (
heuristicFirstMaxTier?.trim() && { heuristic_first_max_tier: heuristicFirstMaxTier }),
...(effectiveType === "hybrid" &&
hybridBoundaryMargin !== undefined && { hybrid_boundary_margin: hybridBoundaryMargin }),
- ...(usesLlmClassifier(effectiveType) &&
+ ...(usesClassifierContext(effectiveType) &&
classifierContextWindowSize !== undefined && {
classifier_context_window_size: classifierContextWindowSize,
}),
- ...(usesLlmClassifier(effectiveType) &&
+ ...(usesClassifierContext(effectiveType) &&
classifierContextBudgetChars !== undefined && {
classifier_context_budget_chars: classifierContextBudgetChars,
}),
- ...(usesLlmClassifier(effectiveType) &&
+ ...(usesClassifierContext(effectiveType) &&
classifierContextIncludeAssistantTurns !== undefined && {
classifier_context_include_assistant_turns: classifierContextIncludeAssistantTurns,
}),
@@ -560,6 +584,7 @@ export const buildComplexityRouterConfig = ({
capabilityClassifierConfig,
llmV2Config,
classifierLlmConfig,
+ jevClassifierConfig,
classifierContextWindowSize,
classifierContextBudgetChars,
classifierContextIncludeAssistantTurns,
@@ -625,9 +650,7 @@ export const buildComplexityRouterConfig = ({
classifierContextBudgetChars,
classifierContextIncludeAssistantTurns,
};
- // An edited tier set forces the LLM classifier, so llm-only inputs must survive a classifier_type
- // the form never rewrote. The UI gates the same controls on this, not on the raw value.
- const effectiveType: ClassifierType = customTierSet ? "llm" : classifierType;
+ const effectiveType = effectiveClassifierType({ custom_tier_set: customTierSet, classifier_type: classifierType });
const forecast = isForecastClassifier(effectiveType);
const supportsOpeningPrompt = !customTierSet && !forecast && usesLlmClassifier(effectiveType);
@@ -640,6 +663,7 @@ export const buildComplexityRouterConfig = ({
...(planModeMinTier?.trim() && { plan_mode_min_tier: planModeMinTier }),
...(cleanedTierLabels && { tier_labels: cleanedTierLabels }),
classifier_type: classifierType,
+ ...(effectiveType === "jev" && { jev_classifier_config: normalizeJevClassifierConfig(jevClassifierConfig) }),
...classifierWireFields(effectiveType, classifierInputs),
...(effectiveType === "capability" &&
capabilityClassifierConfig && { capability_classifier_config: capabilityClassifierConfig }),
@@ -700,6 +724,7 @@ export const buildComplexityRouterConfig = ({
Object.entries(payload).filter(([key]) => !CUSTOM_TIER_STRIPPED_KEYS.includes(key)),
) as ComplexityRouterConfigPayload;
const customTierInputs: CustomTierWireFieldInputs = {
+ classifierType: effectiveType,
classifierLlmConfig,
planModeMinTierId: planModeMinTier,
classificationPrompt,
diff --git a/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.test.ts b/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.test.ts
index e3fe00d2bc8..4a0b29ecee3 100644
--- a/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.test.ts
@@ -1,6 +1,7 @@
import { describe, expect, it } from "vitest";
-import type { ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
+import { effectiveClassifierType, type ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
import { transitionClassifierType } from "./classifier_type_transition";
+import { applyTierSetAction } from "./tier_set_actions";
const standard: ComplexityRouterConfigValue = {
classifier_type: "llm",
@@ -13,6 +14,44 @@ const standard: ComplexityRouterConfigValue = {
};
describe("transitionClassifierType", () => {
+ it("switches between LLM and JEV without losing shared routing settings or leaking opposite config", () => {
+ const initial = {
+ ...standard,
+ classification_prompt: "LLM only",
+ classification_examples: "LLM examples",
+ enable_non_reasoning_tier: true,
+ tiers: { ...standard.tiers, NON_REASONING: ["fast"] },
+ plan_mode_min_tier: "NON_REASONING",
+ adaptive: true,
+ };
+ const jev = transitionClassifierType(initial, "jev");
+ expect(jev).toMatchObject({
+ classifier_type: "jev",
+ jev_classifier_config: { model: "jev-latest", timeout_ms: 3000 },
+ classifier_context_window_size: 8,
+ classifier_context_budget_chars: 16000,
+ classifier_context_include_assistant_turns: true,
+ classifier_fallback: "default_model",
+ adaptive: true,
+ enable_non_reasoning_tier: true,
+ plan_mode_min_tier: "NON_REASONING",
+ tiers: initial.tiers,
+ });
+ expect(jev.classifier_llm_config).toBeUndefined();
+ expect(jev.classification_prompt).toBeUndefined();
+ expect(jev.classification_examples).toBeUndefined();
+ const custom = applyTierSetAction(jev, [], { kind: "patch", id: "SIMPLE", patch: { name: "QUICK" } }).value;
+ expect(effectiveClassifierType(custom)).toBe("jev");
+ const restored = applyTierSetAction(custom, [], { kind: "restore" }).value;
+ expect(effectiveClassifierType(restored)).toBe("jev");
+ expect(restored.jev_classifier_config).toEqual(jev.jev_classifier_config);
+ const llm = transitionClassifierType(custom, "llm");
+ expect(llm.jev_classifier_config).toBeUndefined();
+ expect(llm.classifier_llm_config).toMatchObject({ model: "" });
+ expect(llm.custom_tier_set).toEqual(custom.custom_tier_set);
+ expect(llm.classifier_context_window_size).toBe(8);
+ });
+
it.each(["heuristic_first", "hybrid"] as const)("keeps existing LLM settings when switching to %s", (target) => {
const result = transitionClassifierType(standard, target);
const expectedSettings = {
diff --git a/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.ts b/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.ts
index df87e2854e3..ba758eac471 100644
--- a/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.ts
+++ b/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.ts
@@ -8,7 +8,9 @@ import {
DEFAULT_HYBRID_BOUNDARY_MARGIN,
NEW_CLASSIFIER_CLASSIFICATION_RUBRIC,
usesLlmClassifier,
+ usesClassifierContext,
} from "./ComplexityRouterConfig";
+import { defaultJevClassifierConfig } from "./jev_classifier_config";
import { isForecastClassifier, prepareForecastClassifier } from "./forecast_classifier_config";
import { nonReasoningTierFields } from "./nonReasoningTierFields";
@@ -22,22 +24,29 @@ export const transitionClassifierType = (
const judgeConfig = value.classifier_llm_config ?? { model: "", timeout_ms: DEFAULT_CLASSIFIER_TIMEOUT_MS };
const nextValue: ComplexityRouterConfigValue = {
...value,
+ jev_classifier_config:
+ classifierType === "jev" ? value.jev_classifier_config ?? defaultJevClassifierConfig() : undefined,
+ classification_prompt: classifierType === "jev" ? undefined : value.classification_prompt,
+ classification_examples: classifierType === "jev" ? undefined : value.classification_examples,
classifier_llm_config: usesLlmClassifier(classifierType)
? {
...judgeConfig,
...(startsLlmRubric && { classification_rubric: NEW_CLASSIFIER_CLASSIFICATION_RUBRIC }),
}
: undefined,
- classifier_context_window_size: usesLlmClassifier(classifierType)
+ classifier_context_window_size: usesClassifierContext(classifierType)
? value.classifier_context_window_size ?? DEFAULT_CLASSIFIER_CONTEXT_WINDOW_SIZE
: undefined,
- classifier_context_budget_chars: usesLlmClassifier(classifierType)
+ classifier_context_budget_chars: usesClassifierContext(classifierType)
? value.classifier_context_budget_chars ?? DEFAULT_CLASSIFIER_CONTEXT_BUDGET_CHARS
: undefined,
- classifier_context_include_assistant_turns: usesLlmClassifier(classifierType)
+ classifier_context_per_turn_chars: usesClassifierContext(classifierType)
+ ? value.classifier_context_per_turn_chars
+ : undefined,
+ classifier_context_include_assistant_turns: usesClassifierContext(classifierType)
? value.classifier_context_include_assistant_turns
: undefined,
- classifier_fallback: usesLlmClassifier(classifierType) ? value.classifier_fallback : undefined,
+ classifier_fallback: usesClassifierContext(classifierType) ? value.classifier_fallback : undefined,
heuristic_first_max_tier:
classifierType === "heuristic_first"
? value.heuristic_first_max_tier ?? DEFAULT_HEURISTIC_FIRST_MAX_TIER
diff --git a/ui/litellm-dashboard/src/components/add_model/classifier_types.ts b/ui/litellm-dashboard/src/components/add_model/classifier_types.ts
new file mode 100644
index 00000000000..ec88166ed2e
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/classifier_types.ts
@@ -0,0 +1,15 @@
+export type ClassifierType =
+ | "heuristic"
+ | "heuristic_v2"
+ | "llm"
+ | "jev"
+ | "heuristic_first"
+ | "hybrid"
+ | "capability"
+ | "llm_v2";
+
+export const usesLlmClassifier = (classifierType: ClassifierType): boolean =>
+ (["llm", "heuristic_first", "hybrid", "capability", "llm_v2"] as const).some((type) => type === classifierType);
+
+export const usesClassifierContext = (classifierType: ClassifierType): boolean =>
+ classifierType === "jev" || usesLlmClassifier(classifierType);
diff --git a/ui/litellm-dashboard/src/components/add_model/jev_classifier_config.ts b/ui/litellm-dashboard/src/components/add_model/jev_classifier_config.ts
new file mode 100644
index 00000000000..a1481c9c2e8
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/jev_classifier_config.ts
@@ -0,0 +1,28 @@
+import { z } from "zod";
+
+export const jevClassifierConfigSchema = z.object({
+ model: z.string().trim().min(1).default("jev-latest"),
+ timeout_ms: z.number().int().positive().default(3000),
+ instructions: z
+ .string()
+ .nullish()
+ .transform((value) => value ?? undefined),
+ circuit_breaker_enabled: z.boolean().optional(),
+ circuit_breaker_cooldown_seconds: z.number().finite().positive().optional(),
+});
+
+export type JevClassifierConfig = z.infer;
+
+export const defaultJevClassifierConfig = (): JevClassifierConfig => jevClassifierConfigSchema.parse({});
+
+export const normalizeJevClassifierConfig = (
+ config: JevClassifierConfig = defaultJevClassifierConfig(),
+): JevClassifierConfig => ({
+ model: config.model.trim(),
+ timeout_ms: config.timeout_ms,
+ ...(config.instructions?.trim() && { instructions: config.instructions.trim() }),
+ ...(config.circuit_breaker_enabled !== undefined && { circuit_breaker_enabled: config.circuit_breaker_enabled }),
+ ...(config.circuit_breaker_cooldown_seconds !== undefined && {
+ circuit_breaker_cooldown_seconds: config.circuit_breaker_cooldown_seconds,
+ }),
+});
diff --git a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts
index 92a665a199c..d278518000c 100644
--- a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts
+++ b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts
@@ -12,7 +12,7 @@ export const nonReasoningTierFields = (
classifierType: ClassifierType,
value: ComplexityRouterConfigValue,
): Pick => {
- if (classifierType === "llm") {
+ if (classifierType === "llm" || classifierType === "jev") {
return {
enable_non_reasoning_tier: value.enable_non_reasoning_tier,
tiers: value.tiers,
diff --git a/ui/litellm-dashboard/src/components/add_model/tier_rows.ts b/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
index b4c6b2cb81e..dff051e5674 100644
--- a/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
+++ b/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
@@ -145,7 +145,7 @@ export const CUSTOM_TIER_RESTRICTIONS = {
heuristicClassifier: {
omit: ["heuristic_first_max_tier", "hybrid_boundary_margin"],
reason:
- "The heuristic scorer only produces the built-in tiers, so an edited set needs the LLM classifier. " +
+ "The heuristic scorer only produces the built-in tiers, so an edited set needs the LLM or JEV classifier. " +
"Heuristic first and hybrid are out for the same reason: their local scorer decides the traffic it is sure of",
},
heuristicScoring: {
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
index 4ae6efbb12d..2a3804b0307 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
@@ -1,4 +1,6 @@
import { describe, expect, it } from "vitest";
+import { transitionClassifierType } from "../add_model/classifier_type_transition";
+import { effectiveClassifierType } from "../add_model/ComplexityRouterConfig";
import {
MANAGED_COMPLEXITY_ROUTER_KEYS,
@@ -46,6 +48,62 @@ const hydratedState: KeywordMatchingState = {
};
describe("buildUpdatedComplexityRouterConfig keyword matching", () => {
+ it("hydrates nullable JEV instructions without resetting the server configuration", () => {
+ const stored = {
+ classifier_type: "jev" as const,
+ jev_classifier_config: {
+ model: "jev-configured",
+ timeout_ms: 6100,
+ instructions: null,
+ circuit_breaker_enabled: false,
+ },
+ tiers: FORM_VALUE.tiers,
+ };
+ const saved = buildUpdatedComplexityRouterConfig(stored, hydrateComplexityRouterConfig(stored, undefined));
+ expect(saved.jev_classifier_config).toEqual({
+ model: "jev-configured",
+ timeout_ms: 6100,
+ circuit_breaker_enabled: false,
+ });
+ });
+ it.each([false, true])("round trips JEV settings and preserves unmanaged fields, custom: %s", (custom) => {
+ const stored = {
+ ...(custom ? storedCustomConfig() : STORED),
+ classifier_llm_config: { model: "stale-judge", timeout_ms: 3000 },
+ classifier_type: "jev" as const,
+ jev_classifier_config: {
+ model: "jev-test",
+ timeout_ms: 4100,
+ instructions: "Judge the request",
+ circuit_breaker_enabled: false,
+ circuit_breaker_cooldown_seconds: 10.5,
+ },
+ classifier_context_window_size: 7,
+ classifier_context_budget_chars: 9000,
+ classifier_context_include_assistant_turns: true,
+ some_future_backend_key: { nested: true },
+ };
+ const hydrated = hydrateComplexityRouterConfig(stored, undefined);
+ expect(effectiveClassifierType(hydrated)).toBe("jev");
+ expect(hydrated.classifier_llm_config).toBeUndefined();
+ expect(hydrated.jev_classifier_config).toEqual(stored.jev_classifier_config);
+ const saved = buildUpdatedComplexityRouterConfig(stored, hydrated);
+ expect(saved).toMatchObject({
+ classifier_type: "jev",
+ jev_classifier_config: stored.jev_classifier_config,
+ classifier_context_window_size: 7,
+ classifier_context_budget_chars: 9000,
+ classifier_context_include_assistant_turns: true,
+ some_future_backend_key: { nested: true },
+ });
+ expect(saved).not.toHaveProperty("classifier_llm_config");
+ const reloaded = hydrateComplexityRouterConfig(saved, undefined);
+ expect(reloaded.jev_classifier_config).toEqual(hydrated.jev_classifier_config);
+ expect(effectiveClassifierType(reloaded)).toBe("jev");
+ const llm = buildUpdatedComplexityRouterConfig(saved, transitionClassifierType(reloaded, "llm"));
+ expect(llm).not.toHaveProperty("jev_classifier_config");
+ });
+
it.each(["capability", "llm_v2", "heuristic"] as const)(
"handles enabled stored overrides when editing %s with or without keyword form state",
(classifier_type) => {
@@ -700,7 +758,12 @@ describe("managed keys survive an untouched open-and-save", () => {
// tier_definitions and fallback_tier cannot sit beside heuristic_first, which this fixture uses,
// and hybrid_boundary_margin belongs to the sibling hybrid type, so no single stored config can
// hold every managed key. Each gets its own round trip below.
- const KEYS_ANOTHER_CLASSIFIER_TYPE_OWNS = new Set(["tier_definitions", "fallback_tier", "hybrid_boundary_margin"]);
+ const KEYS_ANOTHER_CLASSIFIER_TYPE_OWNS = new Set([
+ "tier_definitions",
+ "fallback_tier",
+ "hybrid_boundary_margin",
+ "jev_classifier_config",
+ ]);
// The stall keys are rejected beside the session pinning and user-turn classification this
// fixture sets, so they get their own round trip below rather than widening this one.
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
index e25c7f07dd7..63ad5deb21c 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
@@ -1,4 +1,5 @@
import AutoRouterClassifierTabs from "../add_model/AutoRouterClassifierTabs";
+import { defaultJevClassifierConfig, jevClassifierConfigSchema } from "../add_model/jev_classifier_config";
import type { StoredComplexityRouterConfig } from "../add_model/build_complexity_router_config";
export type { StoredComplexityRouterConfig } from "../add_model/build_complexity_router_config";
import {
@@ -129,7 +130,12 @@ export const hydrateComplexityRouterConfig = (
classifier_type: parsedConfig.classifier_type || "heuristic",
capability_classifier_config: capabilitySettingsSchema.safeParse(parsedConfig.capability_classifier_config).data,
llm_v2_config: fuseSettingsSchema.safeParse(parsedConfig.llm_v2_config).data,
- classifier_llm_config: parsedConfig.classifier_llm_config,
+ classifier_llm_config: parsedConfig.classifier_type === "jev" ? undefined : parsedConfig.classifier_llm_config,
+ jev_classifier_config:
+ parsedConfig.classifier_type === "jev"
+ ? jevClassifierConfigSchema.safeParse(parsedConfig.jev_classifier_config ?? {}).data ??
+ defaultJevClassifierConfig()
+ : undefined,
classifier_context_window_size:
typeof parsedConfig.classifier_context_window_size === "number"
? parsedConfig.classifier_context_window_size
@@ -219,6 +225,7 @@ export const MANAGED_COMPLEXITY_ROUTER_KEYS = new Set([
"capability_classifier_config",
"llm_v2_config",
"classifier_llm_config",
+ "jev_classifier_config",
"classifier_context_window_size",
"classifier_context_budget_chars",
"classifier_context_include_assistant_turns",
@@ -329,6 +336,7 @@ export const buildUpdatedComplexityRouterConfig = (
classificationMode: value.classification_mode,
tierLabels: value.tier_labels,
classifierType: value.classifier_type,
+ jevClassifierConfig: value.jev_classifier_config,
capabilityClassifierConfig: value.capability_classifier_config,
llmV2Config: value.llm_v2_config,
classifierLlmConfig: value.classifier_llm_config,
diff --git a/ui/litellm-dashboard/src/components/model_info_view.tsx b/ui/litellm-dashboard/src/components/model_info_view.tsx
index 77c9d700c69..4e5ba81f2a4 100644
--- a/ui/litellm-dashboard/src/components/model_info_view.tsx
+++ b/ui/litellm-dashboard/src/components/model_info_view.tsx
@@ -15,6 +15,7 @@ import { copyToClipboard as utilCopyToClipboard } from "../utils/dataUtils";
import { stripMaskedSecrets } from "../utils/maskedSecretUtils";
import { truncateString } from "../utils/textUtils";
import AutoRouterConnectionTest from "./add_model/auto_router_connection_test";
+import { buildSavedJevConnectionTestRequest } from "./add_model/build_auto_router_routing_test_request";
import { AutoRouterTestTarget, buildComplexityRouterTestTargets } from "./add_model/build_auto_router_test_targets";
import {
hasAutoRouterEditor,
@@ -846,6 +847,12 @@ export default function ModelInfoView({
key={autoRouterTestId}
accessToken={accessToken}
targets={autoRouterTestTargets}
+ jevRequest={buildSavedJevConnectionTestRequest(
+ (localModelData ?? modelData)?.litellm_params?.complexity_router_config,
+ (localModelData ?? modelData)?.litellm_params?.complexity_router_default_model,
+ (localModelData ?? modelData)?.model_name,
+ (localModelData ?? modelData)?.model_info?.team_id,
+ )}
/>
)}
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index 80b4a72649d..2358e1baf9a 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -2326,7 +2326,7 @@ export const testModelGroupConnection = async (
export interface AutoRouterRoutingTestRequest {
prompt: string;
- complexity_router_config: ComplexityRouterConfigPayload;
+ complexity_router_config: ComplexityRouterConfigPayload | Record;
default_model?: string;
router_name?: string;
team_id?: string;
diff --git a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RoutingDecisionCard.test.tsx b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RoutingDecisionCard.test.tsx
index fd1777f802c..474b2e116b7 100644
--- a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RoutingDecisionCard.test.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RoutingDecisionCard.test.tsx
@@ -103,7 +103,7 @@ describe("RoutingDecisionCard", () => {
}}
/>,
);
- expect(screen.getByText("Default model, LLM classifier failed")).toBeInTheDocument();
+ expect(screen.getByText("Default model, classifier failed")).toBeInTheDocument();
expect(screen.queryByText("Tier")).not.toBeInTheDocument();
});
@@ -120,7 +120,7 @@ describe("RoutingDecisionCard", () => {
}}
/>,
);
- expect(screen.getByText("Fallback tier, LLM classifier failed")).toBeInTheDocument();
+ expect(screen.getByText("Fallback tier, classifier failed")).toBeInTheDocument();
expect(screen.getByText("SECURITY_REVIEW")).toBeInTheDocument();
});
diff --git a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RoutingDecisionCard.tsx b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RoutingDecisionCard.tsx
index cf2c71e64c6..7bbf18e16ed 100644
--- a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RoutingDecisionCard.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/RoutingDecisionCard.tsx
@@ -24,6 +24,9 @@ export interface RoutingDecision {
matched_keyword?: string;
escalation_keyword?: string;
classifier_model?: string;
+ classifier_confidence?: number;
+ classifier_probabilities?: Record;
+ classifier_cost?: number;
escalated?: boolean;
tier_boundaries?: RoutingDecisionTierBoundaries;
reasoning_override_min_score?: number;
@@ -97,8 +100,8 @@ const CONSTANT_CAUSE_LABELS: Record = {
quality_tier: "Quality tier mapping",
bandit: "Adaptive bandit",
default_fallback: "Default model, no route matched",
- classifier_fallback: "Fallback tier, LLM classifier failed",
- default_model_fallback: "Default model, LLM classifier failed",
+ classifier_fallback: "Fallback tier, classifier failed",
+ default_model_fallback: "Default model, classifier failed",
};
function describeCause(decision: RoutingDecision): string {
@@ -118,6 +121,8 @@ function describeCause(decision: RoutingDecision): string {
return describeReasoningOverride(tierLabel, overrideFloor);
case "llm_classifier":
return classifierModel ? `LLM classifier (${classifierModel})` : "LLM classifier";
+ case "jev_classifier":
+ return "JEV classifier";
case "literal_keyword_match":
case "keyword":
return matchedKeyword ? `Keyword match: "${matchedKeyword}"` : "Keyword match";
@@ -208,6 +213,20 @@ export function RoutingDecisionCard({
{requestType && {requestType}
}
{describeCause(decision)}
+ {decision.classifier_model && {decision.classifier_model}
}
+ {decision.classifier_confidence != null && (
+ {(decision.classifier_confidence * 100).toFixed(1)}%
+ )}
+ {decision.classifier_probabilities && (
+
+ {Object.entries(decision.classifier_probabilities).map(([name, probability]) => (
+
+ {name}: {(probability * 100).toFixed(1)}%
+
+ ))}
+
+ )}
+ {decision.classifier_cost != null && ${decision.classifier_cost.toFixed(8)}
}
{score !== undefined && (
diff --git a/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts b/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
index fed11454c23..442dd974368 100644
--- a/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
+++ b/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
@@ -680,6 +680,32 @@ describe("autorouter_presets", () => {
});
describe("buildPresetPrefill", () => {
+ it("preserves JEV settings and drops inactive classifier settings when prefilling", () => {
+ const config = {
+ tiers: { SIMPLE: ["fast"], MEDIUM: [], COMPLEX: [], REASONING: [] },
+ classifier_type: "jev" as const,
+ classification_mode: "every_request" as const,
+ session_affinity: false,
+ deployment_affinity: true,
+ modality_routing: false,
+ modality_pin_override: false,
+ jev_classifier_config: { model: "jev-test", timeout_ms: 4000, circuit_breaker_enabled: false },
+ classifier_llm_config: { model: "stale-judge", timeout_ms: 6000 },
+ classifier_context_window_size: 6,
+ };
+ const prefill = buildPresetPrefill(config, groupsOnly(["fast"]));
+ expect(prefill.complexityRouterConfig).toMatchObject({
+ classifier_type: "jev",
+ jev_classifier_config: config.jev_classifier_config,
+ classifier_context_window_size: 6,
+ classifier_llm_config: undefined,
+ });
+ const llmConfig = { ...config, classifier_type: "llm" as const };
+ const llmPrefill = buildPresetPrefill(llmConfig, groupsOnly(["fast"]));
+ expect(llmPrefill.complexityRouterConfig.jev_classifier_config).toBeUndefined();
+ expect(llmPrefill.complexityRouterConfig.classifier_llm_config).toEqual(config.classifier_llm_config);
+ });
+
it("prefills a real bundled preset's tiers into the config", () => {
const preset = getPresetByKey("anthropic_family")!;
const prefill = buildPresetPrefill(
diff --git a/ui/litellm-dashboard/src/lib/autorouter_presets.ts b/ui/litellm-dashboard/src/lib/autorouter_presets.ts
index 02096cada41..728c1e53574 100644
--- a/ui/litellm-dashboard/src/lib/autorouter_presets.ts
+++ b/ui/litellm-dashboard/src/lib/autorouter_presets.ts
@@ -284,10 +284,11 @@ export const buildPresetPrefill = (
tier_model_params: resolveParamKeys(hydrateTierModelParams(config.tiers, config.tier_model_configs)),
tier_labels: hydrateTierLabels(config.tier_labels),
classifier_type: config.classifier_type,
- classifier_llm_config: config.classifier_llm_config && {
- ...config.classifier_llm_config,
- model: resolve(config.classifier_llm_config.model),
- },
+ jev_classifier_config: config.classifier_type === "jev" ? config.jev_classifier_config : undefined,
+ classifier_llm_config:
+ config.classifier_type !== "jev" && config.classifier_llm_config
+ ? { ...config.classifier_llm_config, model: resolve(config.classifier_llm_config.model) }
+ : undefined,
classifier_context_window_size: config.classifier_context_window_size,
classifier_context_budget_chars: config.classifier_context_budget_chars,
classifier_context_per_turn_chars: config.classifier_context_per_turn_chars,
From 7c493ff3b9746fd6e2cef9fe42cb53b6c51aa556 Mon Sep 17 00:00:00 2001
From: Moe Khalil
Date: Fri, 18 Sep 2026 21:52:24 +0000
Subject: [PATCH 056/246] test(auto-router): reconcile JEV integration checks
Co-authored-by: Moe Khalil
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../test_auto_router_endpoints.py | 134 +++++++++---------
.../JevConnectionTest.integration.test.tsx | 12 +-
...d_auto_router_routing_test_request.test.ts | 15 +-
.../build_complexity_router_config.test.ts | 15 +-
.../classifier_type_transition.test.ts | 5 +-
.../add_model/jev_classifier_config.ts | 6 +-
...d_updated_complexity_router_config.test.ts | 5 +-
.../src/lib/autorouter_presets.test.ts | 5 +-
8 files changed, 104 insertions(+), 93 deletions(-)
diff --git a/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py
index 6cea2a946e4..5c65c2f9ba4 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py
@@ -7,24 +7,24 @@ from pathlib import Path
from typing import Final
import httpx
+import litellm.llms.custom_httpx.http_handler as http_handler
+import litellm.router_strategy.complexity_router.complexity_router as complexity_module
import pytest
import respx
from fastapi import HTTPException, Request
from pydantic import ValidationError
-from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
+from litellm.proxy import proxy_server
from litellm.proxy._types import (
LitellmUserRoles,
ProxyErrorTypes,
ProxyException,
UserAPIKeyAuth,
)
-from litellm.proxy import proxy_server
from litellm.proxy.management_endpoints.auto_router_endpoints import (
preview_auto_router_routing,
)
from litellm.router import Router
-from litellm.router_strategy.complexity_router import complexity_router as complexity_module
from litellm.types.management_endpoints.auto_router_endpoints import (
AutoRouterBenchmarksResponse,
AutoRouterRoutingTestRequest,
@@ -429,70 +429,6 @@ async def test_a_key_over_its_budget_cannot_run_a_classifier_config(monkeypatch:
assert calls == []
-@pytest.mark.asyncio
-@pytest.mark.parametrize("denial", ["key", "team", "budget", None])
-async def test_jev_test_routing_authorizes_paid_evaluation_before_contacting_typesafe(
- monkeypatch: pytest.MonkeyPatch, denial: str | None
-) -> None:
- router: Final = RecordingRouter("SIMPLE")
- monkeypatch.setattr(proxy_server, "llm_router", router)
- monkeypatch.setenv("TYPESAFE_API_KEY", "test")
- monkeypatch.setenv("TYPESAFE_API_BASE", "https://typesafe.test")
- models: Final = ["cheap-model", "typesafe/jev-latest"]
- actor: Final = UserAPIKeyAuth(
- user_role=LitellmUserRoles.PROXY_ADMIN,
- api_key="sk-jev-test",
- user_id="admin",
- models=["cheap-model"] if denial == "key" else models,
- team_id="jev-test-team" if denial == "team" else None,
- team_models=["cheap-model"] if denial == "team" else models,
- max_budget=1,
- spend=1 if denial == "budget" else 0,
- )
- with respx.mock(assert_all_called=False) as http:
- handler: Final = AsyncHTTPHandler()
- handler.client = httpx.AsyncClient(transport=httpx.MockTransport(http.async_handler))
-
- def http_client(_provider: object) -> AsyncHTTPHandler:
- return handler
-
- monkeypatch.setattr(complexity_module, "get_async_httpx_client", http_client)
- evaluation: Final = http.post("https://typesafe.test/v1/systemone").mock(
- return_value=httpx.Response(
- 200,
- json={
- "answers": {
- "tier": {"type": "choice", "choice": "SIMPLE", "confidence": 1, "probabilities": {"SIMPLE": 1}}
- }
- },
- )
- )
- call: Final = preview_auto_router_routing(
- http_request=ROUTING_HTTP_REQUEST,
- data=_request("small deterministic ask", classifier_type="jev", jev_classifier_config={}),
- user_api_key_dict=actor,
- )
- if denial is not None:
- with pytest.raises(ProxyException) as exc:
- await call
- assert (
- exc.value.type
- == {
- "key": ProxyErrorTypes.key_model_access_denied,
- "team": ProxyErrorTypes.team_model_access_denied,
- "budget": ProxyErrorTypes.budget_exceeded,
- }[denial]
- )
- assert evaluation.call_count == 0
- else:
- response: Final = await call
- assert response.routing_decision["cause"] == "jev_classifier"
- assert response.routed_model == "cheap-model"
- assert evaluation.call_count == 1
- assert router.recorded_calls == []
- await handler.client.aclose()
-
-
@pytest.mark.asyncio
async def test_a_heuristic_config_does_not_need_a_budget(monkeypatch: pytest.MonkeyPatch):
import litellm.proxy.proxy_server as proxy_server
@@ -2352,6 +2288,70 @@ async def test_list_shadow_eval_jobs_collapses_legs_into_jobs_newest_first(monke
assert group_reads == []
+@pytest.mark.asyncio
+@pytest.mark.parametrize("denial", ["key", "team", "budget", None])
+async def test_jev_test_routing_authorizes_paid_evaluation_before_contacting_typesafe(
+ monkeypatch: pytest.MonkeyPatch, denial: str | None
+) -> None:
+ router: Final = RecordingRouter("SIMPLE")
+ monkeypatch.setattr(proxy_server, "llm_router", router)
+ monkeypatch.setenv("TYPESAFE_API_KEY", "test")
+ monkeypatch.setenv("TYPESAFE_API_BASE", "https://typesafe.test")
+ models: Final = ["cheap-model", "typesafe/jev-latest"]
+ actor: Final = UserAPIKeyAuth(
+ user_role=LitellmUserRoles.PROXY_ADMIN,
+ api_key="sk-jev-test",
+ user_id="admin",
+ models=["cheap-model"] if denial == "key" else models,
+ team_id="jev-test-team" if denial == "team" else None,
+ team_models=["cheap-model"] if denial == "team" else models,
+ max_budget=1,
+ spend=1 if denial == "budget" else 0,
+ )
+ with respx.mock(assert_all_called=False) as http:
+ handler: Final = http_handler.AsyncHTTPHandler()
+ handler.client = httpx.AsyncClient(transport=httpx.MockTransport(http.async_handler))
+
+ def http_client(_provider: object) -> http_handler.AsyncHTTPHandler:
+ return handler
+
+ monkeypatch.setattr(complexity_module, "get_async_httpx_client", http_client)
+ evaluation: Final = http.post("https://typesafe.test/v1/systemone").mock(
+ return_value=httpx.Response(
+ 200,
+ json={
+ "answers": {
+ "tier": {"type": "choice", "choice": "SIMPLE", "confidence": 1, "probabilities": {"SIMPLE": 1}}
+ }
+ },
+ )
+ )
+ call: Final = preview_auto_router_routing(
+ http_request=ROUTING_HTTP_REQUEST,
+ data=_request("small deterministic ask", classifier_type="jev", jev_classifier_config={}),
+ user_api_key_dict=actor,
+ )
+ if denial is not None:
+ with pytest.raises(ProxyException) as exc:
+ await call
+ assert (
+ exc.value.type
+ == {
+ "key": ProxyErrorTypes.key_model_access_denied,
+ "team": ProxyErrorTypes.team_model_access_denied,
+ "budget": ProxyErrorTypes.budget_exceeded,
+ }[denial]
+ )
+ assert evaluation.call_count == 0
+ else:
+ response: Final = await call
+ assert response.routing_decision["cause"] == "jev_classifier"
+ assert response.routed_model == "cheap-model"
+ assert evaluation.call_count == 1
+ assert router.recorded_calls == []
+ await handler.client.aclose()
+
+
@pytest.mark.asyncio
async def test_list_shadow_eval_jobs_filters_to_jobs_containing_the_key(monkeypatch: pytest.MonkeyPatch):
"""The filter matches a key anywhere in a job's key set and still returns the whole
diff --git a/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx b/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx
index 8f0ad88eb65..2a00e8bb45e 100644
--- a/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx
@@ -7,14 +7,14 @@ import {
buildSavedJevConnectionTestRequest,
JEV_CONNECTION_TEST_PROMPT,
} from "./build_auto_router_routing_test_request";
-import { buildComplexityRouterConfig } from "./build_complexity_router_config";
+import { buildComplexityRouterConfig, type BuildComplexityRouterConfigParams } from "./build_complexity_router_config";
vi.mock(
"@/app/(dashboard)/hooks/autoRouter/useComplexityScorerDefaults",
async () => await import("../../../tests/mocks/complexityScorerDefaults"),
);
-const config = buildComplexityRouterConfig({
+const configParams: BuildComplexityRouterConfigParams = {
classifierType: "jev",
jevClassifierConfig: { model: "jev-latest", timeout_ms: 3000 },
tiers: { SIMPLE: ["fast"], MEDIUM: ["mid"], COMPLEX: ["strong"], REASONING: ["reasoner"] },
@@ -43,7 +43,8 @@ const config = buildComplexityRouterConfig({
tierDistancePenalty: 0.5,
adaptiveEligible: "all",
returnRawModelName: false,
-});
+};
+const config = buildComplexityRouterConfig(configParams);
const request = buildSavedJevConnectionTestRequest(JSON.stringify(config), "fast", "my-router");
const targets = buildAutoRouterTestTargets({
tiers: Object.entries(config.tiers),
@@ -92,12 +93,13 @@ describe("JEV network probes", () => {
}),
);
const routingCall = fetchMock.mock.calls.find(([url]) => String(url).endsWith("/auto_router/test_routing"));
- expect(JSON.parse(String(routingCall?.[1]?.body))).toEqual({
+ const expectedRequest = {
prompt: JEV_CONNECTION_TEST_PROMPT,
complexity_router_config: config,
default_model: "fast",
router_name: "my-router",
- });
+ };
+ expect(JSON.parse(String(routingCall?.[1]?.body))).toEqual(expectedRequest);
expect(fetchMock).toHaveBeenCalledTimes(5);
expect(screen.getAllByTestId("test-status-success")).toHaveLength(4);
expect(screen.getByRole("status", { name: "JEV connection" })).toHaveTextContent(
diff --git a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
index 2aa02e40b5f..fba4ca47e00 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
@@ -29,6 +29,13 @@ describe("buildAutoRouterRoutingTestRequest", () => {
fallback_tier: "DEEP",
classifier_context_window_size: 4,
};
+ const expectedRequest = {
+ prompt: JEV_CONNECTION_TEST_PROMPT,
+ complexity_router_config: config,
+ default_model: "strong",
+ router_name: "saved-router",
+ team_id: "team-1",
+ };
expect(
buildSavedJevConnectionTestRequest(
format === "json" ? JSON.stringify(config) : config,
@@ -36,13 +43,7 @@ describe("buildAutoRouterRoutingTestRequest", () => {
"saved-router",
"team-1",
),
- ).toEqual({
- prompt: JEV_CONNECTION_TEST_PROMPT,
- complexity_router_config: config,
- default_model: "strong",
- router_name: "saved-router",
- team_id: "team-1",
- });
+ ).toEqual(expectedRequest);
});
it.each([undefined, null, "not json", "[]", {}, { classifier_type: "llm", tiers: {} }, { classifier_type: "jev" }])(
"does not build a JEV probe for invalid or other classifier configurations: %j",
diff --git a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
index e03ec22b79f..88a0cebd506 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
@@ -76,7 +76,7 @@ describe("buildComplexityRouterConfig", () => {
});
it.each([false, true])("serializes JEV with shared context and no LLM config, custom tiers: %s", (custom) => {
- const config = buildComplexityRouterConfig({
+ const params: BuildComplexityRouterConfigParams = {
...baseParams,
classifierType: "jev",
jevClassifierConfig: {
@@ -102,15 +102,17 @@ describe("buildComplexityRouterConfig", () => {
fallback_tier_id: "quick",
},
}),
- });
+ };
+ const config = buildComplexityRouterConfig(params);
expect(config.classifier_type).toBe("jev");
- expect(config.jev_classifier_config).toEqual({
+ const expectedJevConfig = {
model: "jev-test",
timeout_ms: 4500,
instructions: "Choose the configured tier",
circuit_breaker_enabled: false,
circuit_breaker_cooldown_seconds: 12.5,
- });
+ };
+ expect(config.jev_classifier_config).toEqual(expectedJevConfig);
expect(config.classifier_context_window_size).toBe(4);
expect(config.classifier_context_budget_chars).toBe(2000);
expect(config.classifier_context_include_assistant_turns).toBe(true);
@@ -133,12 +135,13 @@ describe("buildComplexityRouterConfig", () => {
jevClassifierConfig: { model: "jev-latest", timeout_ms: 3000, instructions: " " },
});
expect(jev.jev_classifier_config).toEqual({ model: "jev-latest", timeout_ms: 3000 });
- const llm = buildComplexityRouterConfig({
+ const llmParams: BuildComplexityRouterConfigParams = {
...baseParams,
classifierType: "llm",
classifierLlmConfig: { model: "judge", timeout_ms: 1000 },
jevClassifierConfig: jev.jev_classifier_config,
- });
+ };
+ const llm = buildComplexityRouterConfig(llmParams);
expect(llm).not.toHaveProperty("jev_classifier_config");
});
diff --git a/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.test.ts b/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.test.ts
index 4a0b29ecee3..a26b39c2980 100644
--- a/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/classifier_type_transition.test.ts
@@ -25,7 +25,7 @@ describe("transitionClassifierType", () => {
adaptive: true,
};
const jev = transitionClassifierType(initial, "jev");
- expect(jev).toMatchObject({
+ const expectedJevConfig = {
classifier_type: "jev",
jev_classifier_config: { model: "jev-latest", timeout_ms: 3000 },
classifier_context_window_size: 8,
@@ -36,7 +36,8 @@ describe("transitionClassifierType", () => {
enable_non_reasoning_tier: true,
plan_mode_min_tier: "NON_REASONING",
tiers: initial.tiers,
- });
+ };
+ expect(jev).toMatchObject(expectedJevConfig);
expect(jev.classifier_llm_config).toBeUndefined();
expect(jev.classification_prompt).toBeUndefined();
expect(jev.classification_examples).toBeUndefined();
diff --git a/ui/litellm-dashboard/src/components/add_model/jev_classifier_config.ts b/ui/litellm-dashboard/src/components/add_model/jev_classifier_config.ts
index a1481c9c2e8..478c763351c 100644
--- a/ui/litellm-dashboard/src/components/add_model/jev_classifier_config.ts
+++ b/ui/litellm-dashboard/src/components/add_model/jev_classifier_config.ts
@@ -1,6 +1,6 @@
import { z } from "zod";
-export const jevClassifierConfigSchema = z.object({
+const jevClassifierConfigFields = {
model: z.string().trim().min(1).default("jev-latest"),
timeout_ms: z.number().int().positive().default(3000),
instructions: z
@@ -9,7 +9,9 @@ export const jevClassifierConfigSchema = z.object({
.transform((value) => value ?? undefined),
circuit_breaker_enabled: z.boolean().optional(),
circuit_breaker_cooldown_seconds: z.number().finite().positive().optional(),
-});
+};
+
+export const jevClassifierConfigSchema = z.object(jevClassifierConfigFields);
export type JevClassifierConfig = z.infer;
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
index 2a3804b0307..02387dcf759 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
@@ -88,14 +88,15 @@ describe("buildUpdatedComplexityRouterConfig keyword matching", () => {
expect(hydrated.classifier_llm_config).toBeUndefined();
expect(hydrated.jev_classifier_config).toEqual(stored.jev_classifier_config);
const saved = buildUpdatedComplexityRouterConfig(stored, hydrated);
- expect(saved).toMatchObject({
+ const expectedSavedConfig = {
classifier_type: "jev",
jev_classifier_config: stored.jev_classifier_config,
classifier_context_window_size: 7,
classifier_context_budget_chars: 9000,
classifier_context_include_assistant_turns: true,
some_future_backend_key: { nested: true },
- });
+ };
+ expect(saved).toMatchObject(expectedSavedConfig);
expect(saved).not.toHaveProperty("classifier_llm_config");
const reloaded = hydrateComplexityRouterConfig(saved, undefined);
expect(reloaded.jev_classifier_config).toEqual(hydrated.jev_classifier_config);
diff --git a/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts b/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
index 442dd974368..d9e83ab850f 100644
--- a/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
+++ b/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
@@ -694,12 +694,13 @@ describe("autorouter_presets", () => {
classifier_context_window_size: 6,
};
const prefill = buildPresetPrefill(config, groupsOnly(["fast"]));
- expect(prefill.complexityRouterConfig).toMatchObject({
+ const expectedJevConfig = {
classifier_type: "jev",
jev_classifier_config: config.jev_classifier_config,
classifier_context_window_size: 6,
classifier_llm_config: undefined,
- });
+ };
+ expect(prefill.complexityRouterConfig).toMatchObject(expectedJevConfig);
const llmConfig = { ...config, classifier_type: "llm" as const };
const llmPrefill = buildPresetPrefill(llmConfig, groupsOnly(["fast"]));
expect(llmPrefill.complexityRouterConfig.jev_classifier_config).toBeUndefined();
From ca287c1b1590194546a01f6eb50be7256cd54e39 Mon Sep 17 00:00:00 2001
From: Yucheng He
Date: Fri, 18 Sep 2026 14:55:31 -0700
Subject: [PATCH 057/246] fix(mcp): preserve restricted admin submission fields
---
.../mcp_management_endpoints.py | 2 -
.../test_mcp_management_endpoints.py | 72 ++++++++++---------
2 files changed, 40 insertions(+), 34 deletions(-)
diff --git a/litellm/proxy/management_endpoints/mcp_management_endpoints.py b/litellm/proxy/management_endpoints/mcp_management_endpoints.py
index 6ed131417d6..c1388e8bb81 100644
--- a/litellm/proxy/management_endpoints/mcp_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/mcp_management_endpoints.py
@@ -1488,8 +1488,6 @@ if MCP_AVAILABLE:
submissions.items = _redact_mcp_credentials_list(submissions.items)
if not _user_is_full_admin(user_api_key_dict):
submissions.items = _sanitize_mcp_server_list_for_non_admin(submissions.items)
- elif _is_restricted_virtual_key_request(user_api_key_dict):
- submissions.items = _sanitize_mcp_server_list_for_virtual_key(submissions.items)
return submissions
@router.put(
diff --git a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
index 79b34ded13e..f3fc45480e1 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
@@ -6,7 +6,7 @@ import logging
from contextlib import ExitStack
from datetime import datetime, timedelta
from types import SimpleNamespace
-from typing import Final, List, Optional, cast
+from typing import List, Optional, cast
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
@@ -4583,17 +4583,20 @@ class TestMCPApprovalWorkflow:
assert result.pending_review == 1
@pytest.mark.asyncio
- @pytest.mark.parametrize("allowed_routes", [[], ["llm_api_routes"], ["mcp_routes"]])
- async def test_get_submissions_sanitizes_for_view_only_admin(self, allowed_routes: list[str]) -> None:
+ async def test_get_submissions_sanitizes_for_view_only_admin(self):
+ """PROXY_ADMIN_VIEW_ONLY reviewing the submission queue must go through
+ the non-admin sanitizer that fetch/list endpoints use: url,
+ static_headers, env, env_vars, and credentials are all dropped. A
+ mutation swapping the gate back to the old partial-blank pattern (which
+ left url/static_headers/env and env-var names intact) would fail this."""
from litellm.proxy._types import MCPSubmissionsSummary
from litellm.proxy.management_endpoints.mcp_management_endpoints import (
get_mcp_server_submissions,
)
- item: Final = _leaky_list_server().model_copy(
- update={"approval_status": "pending_review", "spec_path": "https://example.com/spec?key=secret"}
- )
- summary: Final = MCPSubmissionsSummary(total=1, pending_review=1, active=0, rejected=0, items=[item])
+ item = _leaky_list_server()
+ item.approval_status = "pending_review"
+ summary = MCPSubmissionsSummary(total=1, pending_review=1, active=0, rejected=0, items=[item])
with (
patch(
@@ -4605,15 +4608,12 @@ class TestMCPApprovalWorkflow:
AsyncMock(return_value=summary),
),
):
- result: Final = await get_mcp_server_submissions(
- user_api_key_dict=UserAPIKeyAuth(
- user_role=LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY, allowed_routes=allowed_routes
- ),
+ result = await get_mcp_server_submissions(
+ user_api_key_dict=generate_mock_user_api_key_auth(user_role=LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY),
)
assert len(result.items) == 1
- sanitized: Final = result.items[0]
- assert sanitized.spec_path is None
+ sanitized = result.items[0]
assert sanitized.url is None
assert sanitized.static_headers is None
assert sanitized.env == {}
@@ -4625,17 +4625,18 @@ class TestMCPApprovalWorkflow:
assert item.static_headers == {"Authorization": "Bearer sk-secret-header"}
@pytest.mark.asyncio
- @pytest.mark.parametrize("allowed_routes", [[], ["llm_api_routes"], ["mcp_routes"]])
- async def test_get_submissions_respects_admin_key_route_restrictions(self, allowed_routes: list[str]) -> None:
+ async def test_get_submissions_full_admin_still_sees_secrets(self):
+ """The view-only redaction must not over-redact for a full PROXY_ADMIN,
+ who needs url/static_headers/env/env_vars to review the pending
+ submission. Only the explicit credentials field is cleared."""
from litellm.proxy._types import MCPSubmissionsSummary
-
- credentials: Final[MCPCredentials] = {"scopes": ["scope:review"], "client_secret": "secret-sentinel"}
- item: Final = _leaky_list_server().model_copy(
- update={"approval_status": "pending_review", "credentials": credentials}
+ from litellm.proxy.management_endpoints.mcp_management_endpoints import (
+ get_mcp_server_submissions,
)
- original: Final = item.model_dump()
- summary: Final = MCPSubmissionsSummary(total=1, pending_review=1, active=0, rejected=0, items=[item])
- admin: Final = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN, allowed_routes=allowed_routes)
+
+ item = _leaky_list_server()
+ item.approval_status = "pending_review"
+ summary = MCPSubmissionsSummary(total=1, pending_review=1, active=0, rejected=0, items=[item])
with (
patch(
@@ -4647,18 +4648,25 @@ class TestMCPApprovalWorkflow:
AsyncMock(return_value=summary),
),
):
- result: Final = await mgmt_endpoints.get_mcp_server_submissions(user_api_key_dict=admin)
+ result = await get_mcp_server_submissions(
+ user_api_key_dict=generate_mock_user_api_key_auth(user_role=LitellmUserRoles.PROXY_ADMIN),
+ )
- assert (result.total, result.pending_review, result.active, result.rejected) == (1, 1, 0, 0)
assert len(result.items) == 1
- returned: Final = result.items[0]
- assert returned.server_id == item.server_id
- assert returned.credentials == (None if allowed_routes else {"scopes": credentials["scopes"]})
- assert returned.url == (None if allowed_routes else item.url)
- assert returned.static_headers == (None if allowed_routes else item.static_headers)
- assert returned.env == ({} if allowed_routes else item.env)
- assert returned.env_vars == (None if allowed_routes else item.env_vars)
- assert item.model_dump() == original
+ raw = result.items[0]
+ assert raw.url == "https://leaky.example.com/mcp?api_key=sk-embedded-in-url"
+ assert raw.static_headers == {"Authorization": "Bearer sk-secret-header"}
+ assert raw.env == {"UPSTREAM_TOKEN": "sk-secret-env"}
+ assert raw.credentials is None
+ assert raw.env_vars is not None
+ assert len(raw.env_vars) == 1
+ # ``model_construct`` in ``_leaky_list_server`` skips validation, so
+ # env_vars stays as raw dicts; mirror the fixture shape here.
+ entry = raw.env_vars[0]
+ name = entry["name"] if isinstance(entry, dict) else entry.name
+ value = entry["value"] if isinstance(entry, dict) else entry.value
+ assert name == "GLOBAL_KEY"
+ assert value == "super-secret"
@pytest.mark.asyncio
async def test_approve_non_pending_server_raises_400(self):
From 8e5f43f45897fc72612aac53a690fa573ce029cd Mon Sep 17 00:00:00 2001
From: Moe Khalil
Date: Fri, 18 Sep 2026 22:09:27 +0000
Subject: [PATCH 058/246] fix(auto-router): preserve JEV accounting and context
bounds
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../complexity_router/jev_classifier.py | 2 +-
.../complexity_router/test_jev_classifier.py | 32 +++++++++++++++++
.../add_model/add_auto_router_tab.test.tsx | 36 ++++++++++++++++++-
.../add_model/add_auto_router_tab.tsx | 1 +
.../build_complexity_router_config.test.ts | 6 ++--
.../build_complexity_router_config.ts | 10 ++++++
...d_updated_complexity_router_config.test.ts | 15 ++++++++
.../edit_auto_router_modal.tsx | 5 +++
8 files changed, 103 insertions(+), 4 deletions(-)
diff --git a/litellm/router_strategy/complexity_router/jev_classifier.py b/litellm/router_strategy/complexity_router/jev_classifier.py
index ce6ffbbc3bc..11591b02461 100644
--- a/litellm/router_strategy/complexity_router/jev_classifier.py
+++ b/litellm/router_strategy/complexity_router/jev_classifier.py
@@ -100,8 +100,8 @@ class HttpJevClassifierClient:
), # pyright: ignore[reportArgumentType] # HTTP headers are not mutated by AsyncHTTPHandler
timeout=timeout_s,
)
- self._log_response(request, response, request_kwargs, start_time)
response.raise_for_status()
+ self._log_response(request, response, request_kwargs, start_time)
return TypeAdapter(JevSystemOneResponse).validate_python(response.json())
@staticmethod
diff --git a/tests/test_litellm/router_strategy/complexity_router/test_jev_classifier.py b/tests/test_litellm/router_strategy/complexity_router/test_jev_classifier.py
index 80e945ca2f2..d51690d8818 100644
--- a/tests/test_litellm/router_strategy/complexity_router/test_jev_classifier.py
+++ b/tests/test_litellm/router_strategy/complexity_router/test_jev_classifier.py
@@ -3,6 +3,7 @@ import json
from collections.abc import Mapping
from datetime import datetime
from typing import Final
+from unittest.mock import create_autospec
import httpx
import pytest
@@ -39,6 +40,37 @@ class _UsageRecorder(CustomLogger):
self.calls = (*self.calls, kwargs)
+@pytest.mark.asyncio
+@pytest.mark.parametrize("status_code", [400, 429, 500, 503])
+async def test_jev_http_errors_do_not_dispatch_successful_usage(
+ monkeypatch: pytest.MonkeyPatch, status_code: int
+) -> None:
+ recorder: Final = _UsageRecorder()
+ monkeypatch.setattr(litellm, "_async_success_callback", [recorder])
+ handler: Final = create_autospec(AsyncHTTPHandler, instance=True)
+ handler.post.return_value = httpx.Response(
+ status_code,
+ request=httpx.Request("POST", "https://typesafe.test/v1/systemone"),
+ json={
+ "model": "jev-accounting",
+ "usage": {"input_tokens": 3, "output_tokens": 2},
+ "answers": {"tier": _answer().model_dump()},
+ },
+ )
+ provider: Final = HttpJevClassifierClient("test", "https://typesafe.test", handler)
+ request: Final = build_jev_request(
+ "choose a tier", None, "jev-accounting", DEFAULT_JEV_INSTRUCTIONS, {"SIMPLE": "cheap"}
+ )
+
+ with pytest.raises(httpx.HTTPStatusError) as error:
+ await provider.evaluate(request, timeout_s=3)
+ await GLOBAL_LOGGING_WORKER.flush()
+
+ assert error.value.response.status_code == status_code
+ handler.post.assert_awaited_once()
+ assert recorder.calls == ()
+
+
@pytest.mark.asyncio
@pytest.mark.parametrize("answer", ["SIMPLE", "UNAVAILABLE", "malformed"])
@pytest.mark.parametrize("private", [False, True])
diff --git a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.test.tsx b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.test.tsx
index 48903d585ff..66621981ef5 100644
--- a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.test.tsx
@@ -8,7 +8,7 @@ import {
chooseSelectOption,
} from "../../../tests/test-utils";
import userEvent from "@testing-library/user-event";
-import { vi } from "vitest";
+import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
import AddAutoRouterTab from "./add_auto_router_tab";
import { toast } from "@/lib/toast";
import { handleAddAutoRouterSubmit } from "./handle_add_auto_router_submit";
@@ -1535,6 +1535,40 @@ describe("getSubmitBlockedReason", () => {
describe("preset catalog fetch states", () => {
afterEach(() => vi.mocked(useAutoRouterPresets).mockReturnValue(LOADED_PRESETS_QUERY));
+ it("preserves a JEV preset's per-turn bound in the create request", async () => {
+ vi.clearAllMocks();
+ testQueryClient.clear();
+ vi.mocked(handleAddAutoRouterSubmit).mockReset();
+ mockFetchAvailableModels.mockResolvedValue(ALL_FAMILY_MODELS);
+ vi.mocked(useAutoRouterPresets).mockReturnValue({
+ ...LOADED_PRESETS_QUERY,
+ data: [
+ {
+ ...ANTHROPIC_PRESET,
+ key: "bounded_jev",
+ label: "Bounded JEV",
+ complexity_router_config: {
+ ...ANTHROPIC_PRESET.complexity_router_config,
+ classifier_type: "jev",
+ jev_classifier_config: { model: "jev-test", timeout_ms: 3000 },
+ classifier_context_per_turn_chars: 450,
+ },
+ },
+ ],
+ });
+ renderWithProviders( );
+ await waitForPresetEnabled("Bounded JEV");
+ await selectTemplate("Bounded JEV");
+ fireEvent.change(screen.getByLabelText("Auto Router Name"), { target: { value: "bounded-router" } });
+ fireEvent.click(screen.getByRole("button", { name: "Add Auto Router" }));
+
+ await waitFor(() => expect(handleAddAutoRouterSubmit).toHaveBeenCalledOnce());
+ expect(vi.mocked(handleAddAutoRouterSubmit).mock.calls[0][0].complexity_router_config).toMatchObject({
+ classifier_type: "jev",
+ classifier_context_per_turn_chars: 450,
+ });
+ });
+
it("keeps showing cached presets without the error banner when only a refetch fails", () => {
vi.mocked(useAutoRouterPresets).mockReturnValue({
...LOADED_PRESETS_QUERY,
diff --git a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
index 8a4f6e4eac9..c8252408f6b 100644
--- a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
@@ -415,6 +415,7 @@ const AddAutoRouterTab: React.FC = ({
classifierLlmConfig: complexityRouterConfig.classifier_llm_config,
classifierContextWindowSize: complexityRouterConfig.classifier_context_window_size,
classifierContextBudgetChars: complexityRouterConfig.classifier_context_budget_chars,
+ classifierContextPerTurnChars: complexityRouterConfig.classifier_context_per_turn_chars,
classifierContextIncludeAssistantTurns: complexityRouterConfig.classifier_context_include_assistant_turns,
classifierFallback: complexityRouterConfig.classifier_fallback,
sessionAffinity: complexityRouterConfig.session_affinity ?? DEFAULT_SESSION_AFFINITY,
diff --git a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
index 88a0cebd506..9918bc5d2ac 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
@@ -91,6 +91,7 @@ describe("buildComplexityRouterConfig", () => {
classificationExamples: "stale examples",
classifierContextWindowSize: 4,
classifierContextBudgetChars: 2000,
+ classifierContextPerTurnChars: 450,
classifierContextIncludeAssistantTurns: true,
classifierFallback: "default_model",
...(custom && {
@@ -115,6 +116,7 @@ describe("buildComplexityRouterConfig", () => {
expect(config.jev_classifier_config).toEqual(expectedJevConfig);
expect(config.classifier_context_window_size).toBe(4);
expect(config.classifier_context_budget_chars).toBe(2000);
+ expect(config.classifier_context_per_turn_chars).toBe(450);
expect(config.classifier_context_include_assistant_turns).toBe(true);
expect(config).not.toHaveProperty("classifier_llm_config");
expect(config).not.toHaveProperty("classification_prompt");
@@ -876,13 +878,13 @@ describe("buildComplexityRouterConfig scorer knobs", () => {
"%s with fallback %s only emits custom dimensions when its scorer decides",
(classifierType, classifierFallback, emits) => {
const dimension = { name: "d", weight: 0.4, keywords: ["orbitmesh"] };
- const params = {
+ const uncheckedParams: unknown = {
...baseParams,
classifierType,
classifierFallback,
customDimensions: [{ id: "row", ...dimension }],
};
- const payload = buildComplexityRouterConfig(params);
+ const payload = buildComplexityRouterConfig(uncheckedParams as BuildComplexityRouterConfigParams);
if (emits) expect(payload.custom_dimensions).toEqual([dimension]);
else expect(payload).not.toHaveProperty("custom_dimensions");
},
diff --git a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
index 0b844b8ddd5..d21c5a80812 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
@@ -156,6 +156,7 @@ export interface StoredComplexityRouterConfig {
jev_classifier_config?: unknown;
classifier_context_window_size?: unknown;
classifier_context_budget_chars?: unknown;
+ classifier_context_per_turn_chars?: unknown;
classifier_context_include_assistant_turns?: unknown;
classifier_fallback?: unknown;
classification_mode?: unknown;
@@ -195,6 +196,7 @@ export interface BuildComplexityRouterConfigParams {
jevClassifierConfig?: JevClassifierConfig;
classifierContextWindowSize: number | undefined;
classifierContextBudgetChars: number | undefined;
+ classifierContextPerTurnChars?: number;
classifierContextIncludeAssistantTurns: boolean | undefined;
classifierFallback: ClassifierFallback | undefined;
classificationPrompt: string | undefined;
@@ -533,6 +535,7 @@ const classifierWireFields = (
hybridBoundaryMargin,
classifierContextWindowSize,
classifierContextBudgetChars,
+ classifierContextPerTurnChars,
classifierContextIncludeAssistantTurns,
}: Pick<
BuildComplexityRouterConfigParams,
@@ -542,6 +545,7 @@ const classifierWireFields = (
| "hybridBoundaryMargin"
| "classifierContextWindowSize"
| "classifierContextBudgetChars"
+ | "classifierContextPerTurnChars"
| "classifierContextIncludeAssistantTurns"
>,
): Partial => {
@@ -566,6 +570,10 @@ const classifierWireFields = (
classifierContextBudgetChars !== undefined && {
classifier_context_budget_chars: classifierContextBudgetChars,
}),
+ ...(usesClassifierContext(effectiveType) &&
+ classifierContextPerTurnChars !== undefined && {
+ classifier_context_per_turn_chars: classifierContextPerTurnChars,
+ }),
...(usesClassifierContext(effectiveType) &&
classifierContextIncludeAssistantTurns !== undefined && {
classifier_context_include_assistant_turns: classifierContextIncludeAssistantTurns,
@@ -587,6 +595,7 @@ export const buildComplexityRouterConfig = ({
jevClassifierConfig,
classifierContextWindowSize,
classifierContextBudgetChars,
+ classifierContextPerTurnChars,
classifierContextIncludeAssistantTurns,
classifierFallback,
classificationPrompt,
@@ -648,6 +657,7 @@ export const buildComplexityRouterConfig = ({
hybridBoundaryMargin,
classifierContextWindowSize,
classifierContextBudgetChars,
+ classifierContextPerTurnChars,
classifierContextIncludeAssistantTurns,
};
const effectiveType = effectiveClassifierType({ custom_tier_set: customTierSet, classifier_type: classifierType });
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
index 02387dcf759..6a522b9ad4c 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
@@ -80,6 +80,7 @@ describe("buildUpdatedComplexityRouterConfig keyword matching", () => {
},
classifier_context_window_size: 7,
classifier_context_budget_chars: 9000,
+ classifier_context_per_turn_chars: 450,
classifier_context_include_assistant_turns: true,
some_future_backend_key: { nested: true },
};
@@ -87,12 +88,14 @@ describe("buildUpdatedComplexityRouterConfig keyword matching", () => {
expect(effectiveClassifierType(hydrated)).toBe("jev");
expect(hydrated.classifier_llm_config).toBeUndefined();
expect(hydrated.jev_classifier_config).toEqual(stored.jev_classifier_config);
+ expect(hydrated.classifier_context_per_turn_chars).toBe(450);
const saved = buildUpdatedComplexityRouterConfig(stored, hydrated);
const expectedSavedConfig = {
classifier_type: "jev",
jev_classifier_config: stored.jev_classifier_config,
classifier_context_window_size: 7,
classifier_context_budget_chars: 9000,
+ classifier_context_per_turn_chars: 450,
classifier_context_include_assistant_turns: true,
some_future_backend_key: { nested: true },
};
@@ -100,6 +103,7 @@ describe("buildUpdatedComplexityRouterConfig keyword matching", () => {
expect(saved).not.toHaveProperty("classifier_llm_config");
const reloaded = hydrateComplexityRouterConfig(saved, undefined);
expect(reloaded.jev_classifier_config).toEqual(hydrated.jev_classifier_config);
+ expect(reloaded.classifier_context_per_turn_chars).toBe(450);
expect(effectiveClassifierType(reloaded)).toBe("jev");
const llm = buildUpdatedComplexityRouterConfig(saved, transitionClassifierType(reloaded, "llm"));
expect(llm).not.toHaveProperty("jev_classifier_config");
@@ -287,6 +291,17 @@ describe("capability classifier configuration", () => {
});
describe("buildUpdatedComplexityRouterConfig classifier context window", () => {
+ it.each(["llm", "jev"] as const)("saves the form's per-turn bound over the stored %s bound", (classifier_type) => {
+ const formValue = {
+ ...hydrateComplexityRouterConfig({ ...STORED_LLM, classifier_type }, undefined),
+ classifier_context_per_turn_chars: 600,
+ };
+ const saved = buildUpdatedComplexityRouterConfig(STORED_LLM, formValue);
+
+ expect(saved.classifier_context_per_turn_chars).toBe(600);
+ expect(hydrateComplexityRouterConfig(saved, undefined).classifier_context_per_turn_chars).toBe(600);
+ });
+
it("round-trips an untouched edit without changing the classifier context values", () => {
const formValue = {
tiers: STORED_LLM.tiers,
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
index 63ad5deb21c..56a851fba8c 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
@@ -144,6 +144,10 @@ export const hydrateComplexityRouterConfig = (
typeof parsedConfig.classifier_context_budget_chars === "number"
? parsedConfig.classifier_context_budget_chars
: undefined,
+ classifier_context_per_turn_chars:
+ typeof parsedConfig.classifier_context_per_turn_chars === "number"
+ ? parsedConfig.classifier_context_per_turn_chars
+ : undefined,
classifier_context_include_assistant_turns:
typeof parsedConfig.classifier_context_include_assistant_turns === "boolean"
? parsedConfig.classifier_context_include_assistant_turns
@@ -342,6 +346,7 @@ export const buildUpdatedComplexityRouterConfig = (
classifierLlmConfig: value.classifier_llm_config,
classifierContextWindowSize: value.classifier_context_window_size,
classifierContextBudgetChars: value.classifier_context_budget_chars,
+ classifierContextPerTurnChars: value.classifier_context_per_turn_chars,
classifierContextIncludeAssistantTurns: value.classifier_context_include_assistant_turns,
classifierFallback: value.classifier_fallback,
sessionAffinity: value.session_affinity ?? DEFAULT_SESSION_AFFINITY,
From e0b2c511445783f059a00a0a08c1d068356a4cc5 Mon Sep 17 00:00:00 2001
From: Moe Khalil
Date: Fri, 18 Sep 2026 23:41:20 +0000
Subject: [PATCH 059/246] fix(auto-router): validate JEV usage and clear stale
context
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../complexity_router/jev_classifier.py | 13 ++++----
.../complexity_router/test_jev_classifier.py | 31 +++++++++++++++++++
...d_updated_complexity_router_config.test.ts | 22 +++++++++++++
.../edit_auto_router_modal.tsx | 4 +++
4 files changed, 64 insertions(+), 6 deletions(-)
diff --git a/litellm/router_strategy/complexity_router/jev_classifier.py b/litellm/router_strategy/complexity_router/jev_classifier.py
index 11591b02461..de23824a5f6 100644
--- a/litellm/router_strategy/complexity_router/jev_classifier.py
+++ b/litellm/router_strategy/complexity_router/jev_classifier.py
@@ -55,8 +55,8 @@ class JevChoiceAnswer(BaseModel):
class JevUsage(BaseModel):
model_config = ConfigDict(frozen=True)
- input_tokens: int = 0
- output_tokens: int = 0
+ input_tokens: int = Field(default=0, ge=0, strict=True)
+ output_tokens: int = Field(default=0, ge=0, strict=True)
class JevSystemOneResponse(BaseModel):
@@ -111,6 +111,11 @@ class HttpJevClassifierClient:
request_kwargs: Mapping[str, object] | None,
start_time: datetime,
) -> None:
+ try:
+ body: Final = TypeAdapter(dict[str, object]).validate_json(response.content)
+ _ = TypeAdapter(JevUsage | None).validate_python(body.get("usage"))
+ except ValidationError:
+ return
end_time: Final = datetime.now(timezone.utc)
parent: Final = request_kwargs or MappingProxyType({})
parent_metadata: Final = {
@@ -144,10 +149,6 @@ class HttpJevClassifierClient:
optional_params={},
litellm_params=params,
)
- try:
- body: Final = TypeAdapter(dict[str, object]).validate_json(response.content)
- except ValidationError:
- return
normalized: Final = TypeSafePassthroughLoggingHandler.typesafe_passthrough_handler(
httpx_response=response,
response_body=body,
diff --git a/tests/test_litellm/router_strategy/complexity_router/test_jev_classifier.py b/tests/test_litellm/router_strategy/complexity_router/test_jev_classifier.py
index d51690d8818..dae037ff47c 100644
--- a/tests/test_litellm/router_strategy/complexity_router/test_jev_classifier.py
+++ b/tests/test_litellm/router_strategy/complexity_router/test_jev_classifier.py
@@ -71,6 +71,37 @@ async def test_jev_http_errors_do_not_dispatch_successful_usage(
assert recorder.calls == ()
+@pytest.mark.asyncio
+@pytest.mark.parametrize("field", ["input_tokens", "output_tokens"])
+@pytest.mark.parametrize("tokens", [-1, True, 1.5, "3"])
+async def test_jev_invalid_usage_never_reaches_spend_callbacks(
+ monkeypatch: pytest.MonkeyPatch, field: str, tokens: object
+) -> None:
+ recorder: Final = _UsageRecorder()
+ monkeypatch.setattr(litellm, "_async_success_callback", [recorder])
+ handler: Final = create_autospec(AsyncHTTPHandler, instance=True)
+ handler.post.return_value = httpx.Response(
+ 200,
+ request=httpx.Request("POST", "https://typesafe.test/v1/systemone"),
+ json={
+ "model": "jev-accounting",
+ "usage": {"input_tokens": 3, "output_tokens": 2, field: tokens},
+ "answers": {"tier": _answer().model_dump()},
+ },
+ )
+ provider: Final = HttpJevClassifierClient("test", "https://typesafe.test", handler)
+ request: Final = build_jev_request(
+ "choose a tier", None, "jev-accounting", DEFAULT_JEV_INSTRUCTIONS, {"SIMPLE": "cheap"}
+ )
+
+ with pytest.raises(ValueError, match=field):
+ await provider.evaluate(request, timeout_s=3)
+ await GLOBAL_LOGGING_WORKER.flush()
+
+ handler.post.assert_awaited_once()
+ assert recorder.calls == ()
+
+
@pytest.mark.asyncio
@pytest.mark.parametrize("answer", ["SIMPLE", "UNAVAILABLE", "malformed"])
@pytest.mark.parametrize("private", [False, True])
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
index 6a522b9ad4c..e5e2c61933c 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
@@ -291,6 +291,28 @@ describe("capability classifier configuration", () => {
});
describe("buildUpdatedComplexityRouterConfig classifier context window", () => {
+ it.each(["llm", "jev"] as const)(
+ "drops the stored %s per-turn bound when switching to heuristic",
+ (classifier_type) => {
+ const stored = { ...STORED_LLM, classifier_type };
+ const saved = buildUpdatedComplexityRouterConfig(stored, {
+ ...hydrateComplexityRouterConfig(stored, undefined),
+ classifier_type: "heuristic",
+ });
+
+ expect(saved).not.toHaveProperty("classifier_context_per_turn_chars");
+ },
+ );
+
+ it("does not resurrect an explicitly cleared per-turn bound", () => {
+ const saved = buildUpdatedComplexityRouterConfig(STORED_LLM, {
+ ...hydrateComplexityRouterConfig(STORED_LLM, undefined),
+ classifier_context_per_turn_chars: undefined,
+ });
+
+ expect(saved).not.toHaveProperty("classifier_context_per_turn_chars");
+ });
+
it.each(["llm", "jev"] as const)("saves the form's per-turn bound over the stored %s bound", (classifier_type) => {
const formValue = {
...hydrateComplexityRouterConfig({ ...STORED_LLM, classifier_type }, undefined),
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
index 56a851fba8c..10fa6fcb6be 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
@@ -1,4 +1,5 @@
import AutoRouterClassifierTabs from "../add_model/AutoRouterClassifierTabs";
+import { usesClassifierContext } from "../add_model/classifier_types";
import { defaultJevClassifierConfig, jevClassifierConfigSchema } from "../add_model/jev_classifier_config";
import type { StoredComplexityRouterConfig } from "../add_model/build_complexity_router_config";
export type { StoredComplexityRouterConfig } from "../add_model/build_complexity_router_config";
@@ -317,6 +318,9 @@ export const buildUpdatedComplexityRouterConfig = (
keywordMatching?: KeywordMatchingState,
): Record => {
const isManaged = (key: string): boolean => {
+ if (key === "classifier_context_per_turn_chars") {
+ return !usesClassifierContext(effectiveClassifierType(value)) || Object.prototype.hasOwnProperty.call(value, key);
+ }
if (MANAGED_COMPLEXITY_ROUTER_KEYS.has(key)) return true;
if (key === "escalation_keywords" && isForecastClassifier(effectiveClassifierType(value))) return true;
if (keywordMatching !== undefined && KEYWORD_MATCHING_KEYS.has(key)) return true;
From 4036b769a952ace55b802d317e335881a921d3b4 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 00:22:15 +0000
Subject: [PATCH 060/246] fix(proxy): count unprefixed release bullets and
coalesce concurrent latest release fetches
Unprefixed release bullets now count as other_updates, concurrent cache misses share one upstream GitHub request through an injected asyncio.Lock, and the dashboard upgrade banner is announced as status rather than alert
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../latest_release_endpoints.py | 55 +++++++-----
.../test_latest_release_endpoints.py | 89 ++++++++++++++++---
.../src/components/UpgradeBanner.test.tsx | 32 +++++--
.../src/components/UpgradeBanner.tsx | 2 +-
4 files changed, 139 insertions(+), 39 deletions(-)
diff --git a/litellm/proxy/ui_crud_endpoints/latest_release_endpoints.py b/litellm/proxy/ui_crud_endpoints/latest_release_endpoints.py
index 4a01728dfe1..61124e9f27e 100644
--- a/litellm/proxy/ui_crud_endpoints/latest_release_endpoints.py
+++ b/litellm/proxy/ui_crud_endpoints/latest_release_endpoints.py
@@ -1,3 +1,4 @@
+import asyncio
import re
from collections import Counter
from collections.abc import Awaitable, Mapping
@@ -21,7 +22,8 @@ LATEST_RELEASE_CACHE_TTL_SECONDS: Final = 60 * 60
LATEST_RELEASE_UNAVAILABLE_CACHE_TTL_SECONDS: Final = 5 * 60
LATEST_RELEASE_CACHE_KEY: Final = "latest_release_info"
-_RELEASE_BULLET_PATTERN: Final = re.compile(r"^\*\s+([A-Za-z]+)(\([^)]*\))?!?:\s")
+_RELEASE_BULLET_PATTERN: Final = re.compile(r"^\*\s+(?:([A-Za-z]+)(?:\([^)]*\))?!?:\s)?\S")
+_NEW_CONTRIBUTOR_PATTERN: Final = re.compile(r"^\*\s+@\S+ made their first contribution\b")
_Bucket = Literal["new_features", "bug_fixes", "other_updates"]
_PREFIX_BUCKETS: Final[Mapping[str, _Bucket]] = MappingProxyType({"feat": "new_features", "fix": "bug_fixes"})
@@ -51,6 +53,7 @@ class _AsyncGetClient(Protocol):
_latest_release_cache: Final = InMemoryCache(max_size_in_memory=1, default_ttl=LATEST_RELEASE_CACHE_TTL_SECONDS)
+_latest_release_fetch_lock: Final = asyncio.Lock()
def _default_client() -> _AsyncGetClient:
@@ -64,16 +67,23 @@ def _default_cache() -> InMemoryCache:
return _latest_release_cache
+def _default_fetch_lock() -> asyncio.Lock:
+ return _latest_release_fetch_lock
+
+
+def _bucket_for(line: str) -> _Bucket | None:
+ if _NEW_CONTRIBUTOR_PATTERN.match(line) is not None:
+ return None
+ match: Final = _RELEASE_BULLET_PATTERN.match(line)
+ if match is None:
+ return None
+ prefix: Final = match.group(1)
+ return "other_updates" if prefix is None else _PREFIX_BUCKETS.get(prefix.lower(), "other_updates")
+
+
def count_release_bullets(body: str) -> Counter[_Bucket]:
- """
- Bucket a release body's ``* type(scope): title by @user in `` bullets by conventional-commit type.
- Lines without that shape (headings, "New Contributors" entries) are skipped, not counted as other.
- """
- return Counter(
- _PREFIX_BUCKETS.get(match.group(1).lower(), "other_updates")
- for line in body.splitlines()
- if (match := _RELEASE_BULLET_PATTERN.match(line)) is not None
- )
+ """Bucket release-note bullets by conventional-commit type or ``other_updates``."""
+ return Counter(bucket for line in body.splitlines() if (bucket := _bucket_for(line)) is not None)
def parse_latest_release(response: httpx.Response) -> LatestReleaseInfo | LatestReleaseUnavailable:
@@ -102,19 +112,23 @@ async def fetch_latest_release(client: _AsyncGetClient) -> LatestReleaseInfo | L
async def get_latest_release_info(
- client: _AsyncGetClient, cache: InMemoryCache
+ client: _AsyncGetClient, cache: InMemoryCache, fetch_lock: asyncio.Lock
) -> LatestReleaseInfo | LatestReleaseUnavailable:
cached: Final = cache.get_cache(LATEST_RELEASE_CACHE_KEY)
if isinstance(cached, (LatestReleaseInfo, LatestReleaseUnavailable)):
return cached
- result: Final = await fetch_latest_release(client)
- ttl: Final = (
- LATEST_RELEASE_UNAVAILABLE_CACHE_TTL_SECONDS
- if isinstance(result, LatestReleaseUnavailable)
- else LATEST_RELEASE_CACHE_TTL_SECONDS
- )
- cache.set_cache(LATEST_RELEASE_CACHE_KEY, result, ttl=ttl)
- return result
+ async with fetch_lock:
+ cached_after_lock: Final = cache.get_cache(LATEST_RELEASE_CACHE_KEY)
+ if isinstance(cached_after_lock, (LatestReleaseInfo, LatestReleaseUnavailable)):
+ return cached_after_lock
+ result: Final = await fetch_latest_release(client)
+ ttl: Final = (
+ LATEST_RELEASE_UNAVAILABLE_CACHE_TTL_SECONDS
+ if isinstance(result, LatestReleaseUnavailable)
+ else LATEST_RELEASE_CACHE_TTL_SECONDS
+ )
+ cache.set_cache(LATEST_RELEASE_CACHE_KEY, result, ttl=ttl)
+ return result
@router.get(
@@ -126,12 +140,13 @@ async def get_latest_release_info(
async def latest_release_info(
client: Annotated[_AsyncGetClient, Depends(_default_client)],
cache: Annotated[InMemoryCache, Depends(_default_cache)],
+ fetch_lock: Annotated[asyncio.Lock, Depends(_default_fetch_lock)],
) -> LatestReleaseInfo | None:
"""
Latest stable LiteLLM GitHub release with its PR count split into new features, bug fixes and other updates.
Returns null when GitHub can't be reached so the dashboard upgrade banner simply doesn't render.
"""
- result: Final = await get_latest_release_info(client=client, cache=cache)
+ result: Final = await get_latest_release_info(client=client, cache=cache, fetch_lock=fetch_lock)
if isinstance(result, LatestReleaseUnavailable):
verbose_proxy_logger.warning("LiteLLM: latest release info unavailable: %s", result.reason)
return None
diff --git a/tests/test_litellm/proxy/ui_crud_endpoints/test_latest_release_endpoints.py b/tests/test_litellm/proxy/ui_crud_endpoints/test_latest_release_endpoints.py
index 0bbcdfe317d..c966b8b7135 100644
--- a/tests/test_litellm/proxy/ui_crud_endpoints/test_latest_release_endpoints.py
+++ b/tests/test_litellm/proxy/ui_crud_endpoints/test_latest_release_endpoints.py
@@ -1,3 +1,4 @@
+import asyncio
import json
import time
from typing import Final
@@ -19,6 +20,7 @@ from litellm.proxy.ui_crud_endpoints.latest_release_endpoints import (
LatestReleaseUnavailable,
_default_cache,
_default_client,
+ _default_fetch_lock,
count_release_bullets,
get_latest_release_info,
)
@@ -48,7 +50,7 @@ EXPECTED_INFO: Final = {
"version": "1.102.0",
"new_features": 2,
"bug_fixes": 2,
- "other_updates": 2,
+ "other_updates": 4,
"release_url": SAMPLE_RELEASE["html_url"],
}
@@ -81,6 +83,7 @@ def _override_dependencies(client: _RecordingClient, cache: InMemoryCache, role:
app.dependency_overrides[user_api_key_auth] = auth
app.dependency_overrides[_default_client] = lambda: client
app.dependency_overrides[_default_cache] = lambda: cache
+ app.dependency_overrides[_default_fetch_lock] = lambda: asyncio.Lock()
@pytest.fixture
@@ -89,6 +92,7 @@ def http_client():
app.dependency_overrides.pop(user_api_key_auth, None)
app.dependency_overrides.pop(_default_client, None)
app.dependency_overrides.pop(_default_cache, None)
+ app.dependency_overrides.pop(_default_fetch_lock, None)
class TestCountReleaseBullets:
@@ -96,11 +100,21 @@ class TestCountReleaseBullets:
counts = count_release_bullets(SAMPLE_BODY)
assert counts["new_features"] == 2
assert counts["bug_fixes"] == 2
- assert counts["other_updates"] == 2
+ assert counts["other_updates"] == 4
+
+ def test_unprefixed_bullets_count_as_other_updates(self):
+ counts = count_release_bullets("* Litellm dev 09 08 2026 by @f in https://x/pull/7\n")
+ assert (counts["new_features"], counts["bug_fixes"], counts["other_updates"]) == (0, 0, 1)
def test_ignores_non_bullet_lines_and_contributor_entries(self):
assert (
- sum(count_release_bullets("## What's Changed\n\n* @x made their first contribution in url\n").values()) == 0
+ sum(
+ count_release_bullets(
+ "## What's Changed\n\n* @x made their first contribution in url\n"
+ "\n**Full Changelog**: https://github.com/BerriAI/litellm/compare/v1...v2\n"
+ ).values()
+ )
+ == 0
)
def test_empty_body_yields_zero_counts(self):
@@ -112,7 +126,7 @@ class TestGetLatestReleaseInfo:
@pytest.mark.asyncio
async def test_fetches_and_parses_github_release(self):
client = _RecordingClient([_github_response()])
- result = await get_latest_release_info(client=client, cache=_fresh_cache())
+ result = await get_latest_release_info(client=client, cache=_fresh_cache(), fetch_lock=asyncio.Lock())
assert isinstance(result, LatestReleaseInfo)
assert result.model_dump() == EXPECTED_INFO
assert client.calls == [(LATEST_RELEASE_URL, 5)]
@@ -121,15 +135,18 @@ class TestGetLatestReleaseInfo:
async def test_second_call_within_ttl_does_not_refetch(self):
client = _RecordingClient([_github_response()])
cache = _fresh_cache()
- first = await get_latest_release_info(client=client, cache=cache)
- second = await get_latest_release_info(client=client, cache=cache)
+ fetch_lock = asyncio.Lock()
+ first = await get_latest_release_info(client=client, cache=cache, fetch_lock=fetch_lock)
+ second = await get_latest_release_info(client=client, cache=cache, fetch_lock=fetch_lock)
assert first == second
assert len(client.calls) == 1
@pytest.mark.asyncio
async def test_success_is_cached_for_the_full_ttl(self):
cache = _fresh_cache()
- await get_latest_release_info(client=_RecordingClient([_github_response()]), cache=cache)
+ await get_latest_release_info(
+ client=_RecordingClient([_github_response()]), cache=cache, fetch_lock=asyncio.Lock()
+ )
remaining = await cache.async_get_ttl(LATEST_RELEASE_CACHE_KEY) - time.time()
assert LATEST_RELEASE_CACHE_TTL_SECONDS - 5 < remaining <= LATEST_RELEASE_CACHE_TTL_SECONDS
@@ -137,8 +154,9 @@ class TestGetLatestReleaseInfo:
async def test_failure_is_cached_briefly_so_github_is_not_hammered(self):
client = _RecordingClient([httpx.ConnectError("boom")])
cache = _fresh_cache()
- first = await get_latest_release_info(client=client, cache=cache)
- second = await get_latest_release_info(client=client, cache=cache)
+ fetch_lock = asyncio.Lock()
+ first = await get_latest_release_info(client=client, cache=cache, fetch_lock=fetch_lock)
+ second = await get_latest_release_info(client=client, cache=cache, fetch_lock=fetch_lock)
assert isinstance(first, LatestReleaseUnavailable)
assert first == second
assert len(client.calls) == 1
@@ -159,9 +177,60 @@ class TestGetLatestReleaseInfo:
ids=["rate_limited", "server_error", "missing_fields", "not_json"],
)
async def test_bad_github_responses_are_unavailable(self, response: httpx.Response):
- result = await get_latest_release_info(client=_RecordingClient([response]), cache=_fresh_cache())
+ result = await get_latest_release_info(
+ client=_RecordingClient([response]), cache=_fresh_cache(), fetch_lock=asyncio.Lock()
+ )
assert isinstance(result, LatestReleaseUnavailable)
+ @pytest.mark.asyncio
+ async def test_concurrent_misses_share_one_fetch(self):
+ event = asyncio.Event()
+
+ class _BlockingClient(_RecordingClient):
+ async def get(self, url: str, *, timeout: float | None = None) -> httpx.Response:
+ self.calls.append((url, timeout))
+ await event.wait()
+ return _github_response()
+
+ client = _BlockingClient([])
+ cache = _fresh_cache()
+ fetch_lock = asyncio.Lock()
+ tasks = [
+ asyncio.create_task(get_latest_release_info(client=client, cache=cache, fetch_lock=fetch_lock))
+ for _ in range(5)
+ ]
+ await asyncio.sleep(0)
+ await asyncio.sleep(0)
+ event.set()
+ results = await asyncio.gather(*tasks)
+ expected: Final = LatestReleaseInfo.model_validate(EXPECTED_INFO)
+ assert results == [expected] * 5
+ assert len(client.calls) == 1
+
+ @pytest.mark.asyncio
+ async def test_failure_under_lock_is_also_coalesced(self):
+ event = asyncio.Event()
+
+ class _FailingBlockingClient(_RecordingClient):
+ async def get(self, url: str, *, timeout: float | None = None) -> httpx.Response:
+ self.calls.append((url, timeout))
+ await event.wait()
+ raise httpx.ConnectError("boom")
+
+ client = _FailingBlockingClient([])
+ cache = _fresh_cache()
+ fetch_lock = asyncio.Lock()
+ tasks = [
+ asyncio.create_task(get_latest_release_info(client=client, cache=cache, fetch_lock=fetch_lock))
+ for _ in range(5)
+ ]
+ await asyncio.sleep(0)
+ await asyncio.sleep(0)
+ event.set()
+ results = await asyncio.gather(*tasks)
+ assert all(isinstance(result, LatestReleaseUnavailable) for result in results)
+ assert len(client.calls) == 1
+
class TestLatestReleaseInfoEndpoint:
def test_returns_release_stats_for_authenticated_user(self, http_client):
diff --git a/ui/litellm-dashboard/src/components/UpgradeBanner.test.tsx b/ui/litellm-dashboard/src/components/UpgradeBanner.test.tsx
index 6aa384600c8..831030fee80 100644
--- a/ui/litellm-dashboard/src/components/UpgradeBanner.test.tsx
+++ b/ui/litellm-dashboard/src/components/UpgradeBanner.test.tsx
@@ -58,7 +58,7 @@ describe("UpgradeBannerView", () => {
it("shows the latest version, the stat line, and the current version when behind", () => {
render( );
- const alert = screen.getByRole("alert");
+ const alert = screen.getByRole("status");
expect(alert).toHaveTextContent("The latest version is v1.103.0: 12 new features, 30 fixes, and 8 other updates");
expect(alert).toHaveTextContent("Your current version is v1.102.0");
expect(screen.getByRole("link", { name: "v1.103.0" })).toHaveAttribute("href", RELEASE.release_url);
@@ -67,7 +67,7 @@ describe("UpgradeBannerView", () => {
it("dismissing hides the banner and keeps it hidden on remount for the same release", () => {
const { unmount } = render( );
fireEvent.click(screen.getByRole("button", { name: "Close" }));
- expect(screen.queryByRole("alert")).not.toBeInTheDocument();
+ expect(screen.queryByRole("status")).not.toBeInTheDocument();
unmount();
const { container } = render( );
@@ -80,7 +80,7 @@ describe("UpgradeBannerView", () => {
unmount();
render( );
- expect(screen.getByRole("alert")).toHaveTextContent("The latest version is v1.104.0");
+ expect(screen.getByRole("status")).toHaveTextContent("The latest version is v1.104.0");
});
});
@@ -89,18 +89,34 @@ describe("UpgradeBanner", () => {
localStorage.clear();
});
+ afterEach(() => {
+ localStorage.clear();
+ });
+
it("feeds both hooks the access token and renders from their data", () => {
- vi.mocked(useHealthReadinessDetails).mockReturnValue({ data: { litellm_version: "1.102.0" } } as any);
- vi.mocked(useLatestReleaseInfo).mockReturnValue({ data: RELEASE } as any);
+ const healthReadinessResult = {
+ data: { litellm_version: "1.102.0" },
+ } as Partial> as ReturnType;
+ const latestReleaseResult = { data: RELEASE } as Partial> as ReturnType<
+ typeof useLatestReleaseInfo
+ >;
+ vi.mocked(useHealthReadinessDetails).mockReturnValue(healthReadinessResult);
+ vi.mocked(useLatestReleaseInfo).mockReturnValue(latestReleaseResult);
render( );
expect(useHealthReadinessDetails).toHaveBeenCalledWith("token");
expect(useLatestReleaseInfo).toHaveBeenCalledWith("token");
- expect(screen.getByRole("alert")).toHaveTextContent("The latest version is v1.103.0");
+ expect(screen.getByRole("status")).toHaveTextContent("The latest version is v1.103.0");
});
it("renders nothing when the release endpoint returns null", () => {
- vi.mocked(useHealthReadinessDetails).mockReturnValue({ data: { litellm_version: "1.102.0" } } as any);
- vi.mocked(useLatestReleaseInfo).mockReturnValue({ data: null } as any);
+ const healthReadinessResult = {
+ data: { litellm_version: "1.102.0" },
+ } as Partial> as ReturnType;
+ const latestReleaseResult = { data: null } as Partial> as ReturnType<
+ typeof useLatestReleaseInfo
+ >;
+ vi.mocked(useHealthReadinessDetails).mockReturnValue(healthReadinessResult);
+ vi.mocked(useLatestReleaseInfo).mockReturnValue(latestReleaseResult);
const { container } = render( );
expect(container).toBeEmptyDOMElement();
});
diff --git a/ui/litellm-dashboard/src/components/UpgradeBanner.tsx b/ui/litellm-dashboard/src/components/UpgradeBanner.tsx
index cc57223eaff..d990c5112a4 100644
--- a/ui/litellm-dashboard/src/components/UpgradeBanner.tsx
+++ b/ui/litellm-dashboard/src/components/UpgradeBanner.tsx
@@ -51,7 +51,7 @@ export const UpgradeBannerView: React.FC = ({ currentVer
};
return (
-
+
The latest version is{" "}
From 362d99e001be14c65b5a777b0cfcd01df721de0f Mon Sep 17 00:00:00 2001
From: Yucheng He
Date: Fri, 18 Sep 2026 17:23:31 -0700
Subject: [PATCH 061/246] fix(mcp): keep discovered scopes out of saved
settings
---
.../mcp_server/mcp_server_manager.py | 25 ++-
.../types/mcp_server/mcp_server_manager.py | 1 +
.../mcp_server/test_mcp_server_manager.py | 203 ++++++++++++++++++
.../test_mcp_management_endpoints.py | 27 +--
4 files changed, 240 insertions(+), 16 deletions(-)
diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
index 08151d8cab2..2ef6253ef50 100644
--- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
+++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
@@ -2500,9 +2500,8 @@ class MCPServerManager:
# Filter blank scopes (e.g. YAML ``scopes: [""]``) the same way the DB-build path does, so
# an all-blank list normalizes to None rather than a ``("",)`` tuple that skips the
# entra_obo fail-closed scope precondition and POSTs an empty scope to the IdP.
- resolved_scopes = self._extract_scopes(server_config.get("scopes")) or (
- gated_oauth_metadata.scopes if gated_oauth_metadata else None
- )
+ configured_scopes = self._extract_scopes(server_config.get("scopes"))
+ resolved_scopes = configured_scopes or (gated_oauth_metadata.scopes if gated_oauth_metadata else None)
resolved_authorization_url = manual_authorization_url or (
gated_oauth_metadata.authorization_url if gated_oauth_metadata else None
)
@@ -2579,6 +2578,7 @@ class MCPServerManager:
client_secret=server_config.get("client_secret", None),
oauth2_flow=self._explicit_oauth2_flow(config_oauth2_flow),
scopes=resolved_scopes,
+ configured_scopes=tuple(configured_scopes) if configured_scopes else None,
issuer=effective_issuer,
issuer_is_anchored=use_issuer_anchor,
authorization_url=resolved_authorization_url,
@@ -3041,6 +3041,18 @@ class MCPServerManager:
if scopes_value is not None:
scopes = self._extract_scopes(scopes_value)
+ stored_scopes: Final[object] = credentials_dict.get("scopes") if credentials_dict else None
+ scopes_as_objects: Final = (
+ cast(Sequence[object], stored_scopes) # cast-ok: list shape validated below
+ if isinstance(stored_scopes, list)
+ else ()
+ )
+ configured_scopes: Final = (
+ tuple(scope for scope in scopes_as_objects if isinstance(scope, str))
+ if scopes_as_objects and all(isinstance(scope, str) and scope for scope in scopes_as_objects)
+ else None
+ )
+
name_for_prefix: Final = mcp_server.alias or mcp_server.server_name or mcp_server.server_id
mcp_info: Final[MCPInfo] = _mcp_info.copy()
@@ -3115,6 +3127,7 @@ class MCPServerManager:
client_secret=client_secret_value or getattr(mcp_server, "client_secret", None),
oauth2_flow=self._explicit_oauth2_flow(getattr(mcp_server, "oauth2_flow", None)),
scopes=resolved_scopes,
+ configured_scopes=configured_scopes,
issuer=effective_issuer,
issuer_is_anchored=use_issuer_anchor,
authorization_url=manual_authorization_url or getattr(gated_oauth_metadata, "authorization_url", None),
@@ -7088,7 +7101,11 @@ class MCPServerManager:
spec_path=server.spec_path,
transport=server.transport,
auth_type=server.auth_type,
- credentials={"scopes": server.scopes} if server.scopes else None,
+ credentials=(
+ {"scopes": list(server.configured_scopes)} # mutable-ok: MCPCredentials requires a JSON-array list
+ if server.configured_scopes
+ else None
+ ),
created_at=server.created_at,
updated_at=server.updated_at,
teams=[],
diff --git a/litellm/types/mcp_server/mcp_server_manager.py b/litellm/types/mcp_server/mcp_server_manager.py
index 985d31af997..cb32299b143 100644
--- a/litellm/types/mcp_server/mcp_server_manager.py
+++ b/litellm/types/mcp_server/mcp_server_manager.py
@@ -99,6 +99,7 @@ class MCPServer(BaseModel):
configured_authorization_url: str | None = None
configured_token_url: str | None = None
configured_registration_url: str | None = None
+ configured_scopes: tuple[str, ...] | None = None
# How the gateway authenticates to the upstream token endpoint. When
# "client_secret_basic" the credentials go in an HTTP Basic Authorization
# header (omitted from the body); None defaults to "client_secret_post".
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py
index c0aa6c9cd32..6b51cc342a5 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py
@@ -61,6 +61,8 @@ from litellm.types.llms.custom_http import httpxSpecialProvider
from litellm.types.mcp import MCPAuth, MCPAuthType
from litellm.types.mcp_server.mcp_server_manager import MCPOAuthMetadata, MCPServer
from litellm.caching.caching import DualCache
+from litellm.caching.llm_caching_handler import LLMClientCache
+from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
import litellm
from litellm.integrations.custom_guardrail import CustomGuardrail
from litellm.proxy.utils import ProxyLogging
@@ -10427,6 +10429,7 @@ def test_build_mcp_server_table_carries_oauth2_flow():
client_id="client-123",
client_secret="secret-xyz",
scopes=["scope:a", "scope:b"],
+ configured_scopes=("scope:a", "scope:b"),
)
table = manager._build_mcp_server_table(server)
@@ -10456,6 +10459,206 @@ def test_build_mcp_server_table_carries_null_oauth2_flow():
assert table.oauth2_flow is None
+async def _mock_oauth_discovery(
+ respx_mock: MockRouter,
+ monkeypatch: pytest.MonkeyPatch,
+ *,
+ server_url: str,
+ scopes: list[str],
+) -> None:
+ resource_metadata_url: Final[str] = "https://up.example.com/.well-known/oauth-protected-resource"
+ authorization_server_url: Final[str] = "https://up.example.com"
+ authorization_metadata_url: Final[str] = f"{authorization_server_url}/.well-known/oauth-authorization-server"
+ respx_mock.get(server_url).respond(
+ status_code=401,
+ headers={"WWW-Authenticate": f'Bearer resource_metadata="{resource_metadata_url}"'},
+ )
+ respx_mock.get(resource_metadata_url).respond(
+ json={"authorization_servers": [authorization_server_url], "scopes_supported": scopes}
+ )
+ respx_mock.get(authorization_metadata_url).respond(
+ json={
+ "issuer": authorization_server_url,
+ "authorization_endpoint": f"{authorization_server_url}/authorize",
+ "token_endpoint": f"{authorization_server_url}/token",
+ }
+ )
+ clients: Final[LLMClientCache] = LLMClientCache()
+ monkeypatch.setattr(litellm, "in_memory_llm_clients_cache", clients)
+ http_handler: Final[AsyncHTTPHandler] = AsyncHTTPHandler()
+ await http_handler.client.aclose()
+ http_handler.client = httpx.AsyncClient(transport=httpx.MockTransport(respx_mock.async_handler))
+ http_handler._owns_client = True
+ cache_key: Final[str] = f"async_httpx_clienttimeout_{MCP_METADATA_TIMEOUT}{httpxSpecialProvider.MCP.value}"
+ clients.set_cache(cache_key, http_handler)
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("discovery_on_startup", [True, False])
+async def test_management_view_serves_configured_scopes_not_discovered_ones_from_db(
+ discovery_on_startup: bool,
+ respx_mock: MockRouter,
+ monkeypatch: pytest.MonkeyPatch,
+) -> None:
+ row: Final[LiteLLM_MCPServerTable] = LiteLLM_MCPServerTable(
+ server_id="discovered-scopes-db",
+ alias="discovered_scopes_db",
+ url="https://up.example.com/mcp",
+ transport=MCPTransport.http,
+ auth_type=MCPAuth.oauth2,
+ oauth2_flow="authorization_code",
+ created_at=datetime.now(),
+ updated_at=datetime.now(),
+ )
+ await _mock_oauth_discovery(respx_mock, monkeypatch, server_url=row.url or "", scopes=["discovered.read"])
+ env: Final[dict[str, str]] = {"LITELLM_MCP_OAUTH_DISCOVERY_ON_STARTUP": "1"} if discovery_on_startup else {}
+ with patch.dict(os.environ, env, clear=True):
+ manager: Final[MCPServerManager] = MCPServerManager()
+ built: Final[MCPServer] = await manager.build_mcp_server_from_table(row, credentials_are_encrypted=False)
+ manager.registry[built.server_id] = built
+ resolved: Final[MCPServer] = await manager.ensure_oauth_metadata_discovered(built)
+
+ assert resolved.scopes == ["discovered.read"]
+ view: Final[LiteLLM_MCPServerTable] = manager._build_mcp_server_table(resolved)
+ assert view.credentials is None
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+ ("stored_scopes", "runtime_scopes"),
+ [
+ (None, ["openid"]),
+ ([], ["openid"]),
+ ([""], ["openid"]),
+ (["read", ""], ["read"]),
+ (["read", 7], ["read"]),
+ ("read", ["read"]),
+ ],
+)
+async def test_management_view_omits_invalid_or_absent_db_scopes(
+ stored_scopes: list[str | int] | str | None,
+ runtime_scopes: list[str],
+ respx_mock: MockRouter,
+ monkeypatch: pytest.MonkeyPatch,
+) -> None:
+ row: Final[LiteLLM_MCPServerTable] = LiteLLM_MCPServerTable.model_construct(
+ server_id="empty-scopes-db",
+ alias="empty_scopes_db",
+ url="https://up.example.com/mcp",
+ transport=MCPTransport.http,
+ auth_type=MCPAuth.oauth2,
+ oauth2_flow="authorization_code",
+ credentials=json.dumps({"scopes": stored_scopes}),
+ created_at=datetime.now(),
+ updated_at=datetime.now(),
+ )
+ await _mock_oauth_discovery(respx_mock, monkeypatch, server_url=row.url or "", scopes=["openid"])
+ env: Final[dict[str, str]] = {"LITELLM_MCP_OAUTH_DISCOVERY_ON_STARTUP": "1"}
+ with patch.dict(os.environ, env, clear=True):
+ manager: Final[MCPServerManager] = MCPServerManager()
+ built: Final[MCPServer] = await manager.build_mcp_server_from_table(row, credentials_are_encrypted=False)
+
+ assert built.scopes == runtime_scopes
+ view: Final[LiteLLM_MCPServerTable] = manager._build_mcp_server_table(built)
+ assert view.credentials is None
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+ ("stored_scopes", "runtime_scopes"),
+ [
+ (["calendar.read"], ["calendar.read"]),
+ ([" "], ["discovered.read"]),
+ (["read", " "], ["read"]),
+ (["read", "read"], ["read", "read"]),
+ ],
+)
+async def test_management_view_serves_explicitly_configured_scopes_from_db(
+ stored_scopes: list[str],
+ runtime_scopes: list[str],
+ respx_mock: MockRouter,
+ monkeypatch: pytest.MonkeyPatch,
+) -> None:
+ row: Final[LiteLLM_MCPServerTable] = LiteLLM_MCPServerTable(
+ server_id="configured-scopes-db",
+ alias="configured_scopes_db",
+ url="https://up.example.com/mcp",
+ transport=MCPTransport.http,
+ auth_type=MCPAuth.oauth2,
+ oauth2_flow="authorization_code",
+ credentials={"scopes": stored_scopes},
+ created_at=datetime.now(),
+ updated_at=datetime.now(),
+ )
+ await _mock_oauth_discovery(respx_mock, monkeypatch, server_url=row.url or "", scopes=["discovered.read"])
+ env: Final[dict[str, str]] = {"LITELLM_MCP_OAUTH_DISCOVERY_ON_STARTUP": "1"}
+ with patch.dict(os.environ, env, clear=True):
+ manager: Final[MCPServerManager] = MCPServerManager()
+ built: Final[MCPServer] = await manager.build_mcp_server_from_table(row, credentials_are_encrypted=False)
+
+ assert built.scopes == runtime_scopes
+ view: Final[LiteLLM_MCPServerTable] = manager._build_mcp_server_table(built)
+ assert view.credentials == {"scopes": stored_scopes}
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("configured_scopes", [None, ["calendar.read"]])
+async def test_management_view_scopes_follow_yaml_config_not_discovery(
+ configured_scopes: list[str] | None,
+ respx_mock: MockRouter,
+ monkeypatch: pytest.MonkeyPatch,
+) -> None:
+ config: Final[dict[str, dict[str, object]]] = {
+ "yamlscopes": {
+ "url": "https://up.example.com/mcp",
+ "transport": MCPTransport.http,
+ "auth_type": MCPAuth.oauth2,
+ "oauth2_flow": "authorization_code",
+ "client_id": "cid",
+ "client_secret": "csec",
+ **({"scopes": configured_scopes} if configured_scopes else {}),
+ }
+ }
+ await _mock_oauth_discovery(respx_mock, monkeypatch, server_url="https://up.example.com/mcp", scopes=["discovered.read"])
+ env: Final[dict[str, str]] = {"LITELLM_MCP_OAUTH_DISCOVERY_ON_STARTUP": "1"}
+ with patch.dict(os.environ, env, clear=True):
+ manager: Final[MCPServerManager] = MCPServerManager()
+ await manager.load_servers_from_config(config)
+
+ server: Final[MCPServer] = next(iter(manager.config_mcp_servers.values()))
+ expected_runtime: Final[list[str]] = configured_scopes or ["discovered.read"]
+ assert server.scopes == expected_runtime
+ view: Final[LiteLLM_MCPServerTable] = manager._build_mcp_server_table(server)
+ assert view.credentials == ({"scopes": configured_scopes} if configured_scopes else None)
+
+
+@pytest.mark.asyncio
+async def test_lazy_yaml_discovery_keeps_configured_scopes_out_of_the_management_view(
+ respx_mock: MockRouter,
+ monkeypatch: pytest.MonkeyPatch,
+) -> None:
+ config: Final[dict[str, dict[str, object]]] = {
+ "lazyyamlscopes": {
+ "url": "https://up.example.com/mcp",
+ "transport": MCPTransport.http,
+ "auth_type": MCPAuth.oauth2,
+ "oauth2_flow": "authorization_code",
+ "client_id": "cid",
+ "client_secret": "csec",
+ }
+ }
+ await _mock_oauth_discovery(respx_mock, monkeypatch, server_url="https://up.example.com/mcp", scopes=["discovered.read"])
+ with patch.dict(os.environ, {}, clear=True):
+ manager: Final[MCPServerManager] = MCPServerManager()
+ await manager.load_servers_from_config(config)
+ server: Final[MCPServer] = next(iter(manager.config_mcp_servers.values()))
+ resolved: Final[MCPServer] = await manager.ensure_oauth_metadata_discovered(server)
+
+ assert resolved.scopes == ["discovered.read"]
+ view: Final[LiteLLM_MCPServerTable] = manager._build_mcp_server_table(resolved)
+ assert view.credentials is None
+
+
@pytest.mark.asyncio
async def test_resolve_toolset_tool_permissions_single_db_fetch_across_checks():
"""The server-level and tool-level permission primitives each resolve the
diff --git a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
index f3fc45480e1..3d2487ec6ca 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
@@ -4582,13 +4582,9 @@ class TestMCPApprovalWorkflow:
assert result.total == 1
assert result.pending_review == 1
+ @pytest.mark.parametrize("allowed_routes", [None, [], ["llm_api_routes"], ["mcp_routes"]])
@pytest.mark.asyncio
- async def test_get_submissions_sanitizes_for_view_only_admin(self):
- """PROXY_ADMIN_VIEW_ONLY reviewing the submission queue must go through
- the non-admin sanitizer that fetch/list endpoints use: url,
- static_headers, env, env_vars, and credentials are all dropped. A
- mutation swapping the gate back to the old partial-blank pattern (which
- left url/static_headers/env and env-var names intact) would fail this."""
+ async def test_get_submissions_sanitizes_for_view_only_admin(self, allowed_routes: list[str] | None):
from litellm.proxy._types import MCPSubmissionsSummary
from litellm.proxy.management_endpoints.mcp_management_endpoints import (
get_mcp_server_submissions,
@@ -4596,6 +4592,7 @@ class TestMCPApprovalWorkflow:
item = _leaky_list_server()
item.approval_status = "pending_review"
+ item.spec_path = "https://example.com/spec.json?key=private"
summary = MCPSubmissionsSummary(total=1, pending_review=1, active=0, rejected=0, items=[item])
with (
@@ -4609,11 +4606,15 @@ class TestMCPApprovalWorkflow:
),
):
result = await get_mcp_server_submissions(
- user_api_key_dict=generate_mock_user_api_key_auth(user_role=LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY),
+ user_api_key_dict=UserAPIKeyAuth(
+ user_role=LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY, allowed_routes=allowed_routes
+ ),
)
+ assert (result.total, result.pending_review, result.active, result.rejected) == (1, 1, 0, 0)
assert len(result.items) == 1
sanitized = result.items[0]
+ assert sanitized.spec_path is None
assert sanitized.url is None
assert sanitized.static_headers is None
assert sanitized.env == {}
@@ -4624,11 +4625,9 @@ class TestMCPApprovalWorkflow:
assert item.url == "https://leaky.example.com/mcp?api_key=sk-embedded-in-url"
assert item.static_headers == {"Authorization": "Bearer sk-secret-header"}
+ @pytest.mark.parametrize("allowed_routes", [None, [], ["llm_api_routes"], ["mcp_routes"]])
@pytest.mark.asyncio
- async def test_get_submissions_full_admin_still_sees_secrets(self):
- """The view-only redaction must not over-redact for a full PROXY_ADMIN,
- who needs url/static_headers/env/env_vars to review the pending
- submission. Only the explicit credentials field is cleared."""
+ async def test_get_submissions_full_admin_preserves_review_fields(self, allowed_routes: list[str] | None):
from litellm.proxy._types import MCPSubmissionsSummary
from litellm.proxy.management_endpoints.mcp_management_endpoints import (
get_mcp_server_submissions,
@@ -4636,6 +4635,7 @@ class TestMCPApprovalWorkflow:
item = _leaky_list_server()
item.approval_status = "pending_review"
+ item.spec_path = "https://example.com/spec.json?key=private"
summary = MCPSubmissionsSummary(total=1, pending_review=1, active=0, rejected=0, items=[item])
with (
@@ -4649,11 +4649,14 @@ class TestMCPApprovalWorkflow:
),
):
result = await get_mcp_server_submissions(
- user_api_key_dict=generate_mock_user_api_key_auth(user_role=LitellmUserRoles.PROXY_ADMIN),
+ user_api_key_dict=UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN, allowed_routes=allowed_routes),
)
+ assert (result.total, result.pending_review, result.active, result.rejected) == (1, 1, 0, 0)
assert len(result.items) == 1
raw = result.items[0]
+ assert raw.spec_path == item.spec_path
+ assert raw.approval_status == "pending_review"
assert raw.url == "https://leaky.example.com/mcp?api_key=sk-embedded-in-url"
assert raw.static_headers == {"Authorization": "Bearer sk-secret-header"}
assert raw.env == {"UPSTREAM_TOKEN": "sk-secret-env"}
From 26bcc537a5d07044423d75aa75550bfafc56a982 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 00:44:10 +0000
Subject: [PATCH 062/246] fix(proxy): allow latest release info and reset
banner dismissal
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
litellm/proxy/_types.py | 1 +
.../proxy/auth/test_route_checks.py | 27 +++++++++++++++++++
.../src/components/UpgradeBanner.test.tsx | 8 ++++++
.../src/components/UpgradeBanner.tsx | 6 ++---
4 files changed, 39 insertions(+), 3 deletions(-)
diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 76a51627d0c..66a00e14f15 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -633,6 +633,7 @@ class LiteLLMRoutes(enum.Enum):
"/v1/models",
"/sso/get/ui_settings",
"/get/user_banner",
+ "/get/latest_release_info",
]
# NOTE: ROUTES ONLY FOR MASTER KEY - only the Master Key should be able to Reset Spend
diff --git a/tests/test_litellm/proxy/auth/test_route_checks.py b/tests/test_litellm/proxy/auth/test_route_checks.py
index 72c59223549..df5ac4ac135 100644
--- a/tests/test_litellm/proxy/auth/test_route_checks.py
+++ b/tests/test_litellm/proxy/auth/test_route_checks.py
@@ -120,6 +120,33 @@ def test_user_banner_read_open_to_non_admin_roles(role):
)
+@pytest.mark.parametrize(
+ "role",
+ [
+ LitellmUserRoles.INTERNAL_USER.value,
+ LitellmUserRoles.INTERNAL_USER_VIEW_ONLY.value,
+ ],
+)
+def test_latest_release_info_read_open_to_non_admin_roles(role):
+ user_obj = LiteLLM_UserTable(
+ user_id="test_user",
+ user_email="test@example.com",
+ user_role=role,
+ )
+ valid_token = UserAPIKeyAuth(user_id="test_user", user_role=role)
+ request = MagicMock(spec=Request)
+ request.query_params = {}
+
+ RouteChecks.non_proxy_admin_allowed_routes_check(
+ user_obj=user_obj,
+ _user_role=role,
+ route="/get/latest_release_info",
+ request=request,
+ valid_token=valid_token,
+ request_data={},
+ )
+
+
def test_user_banner_update_rejected_for_non_admin():
"""Publishing the banner stays admin-only at the route layer."""
user_obj = LiteLLM_UserTable(
diff --git a/ui/litellm-dashboard/src/components/UpgradeBanner.test.tsx b/ui/litellm-dashboard/src/components/UpgradeBanner.test.tsx
index 831030fee80..4466597394c 100644
--- a/ui/litellm-dashboard/src/components/UpgradeBanner.test.tsx
+++ b/ui/litellm-dashboard/src/components/UpgradeBanner.test.tsx
@@ -82,6 +82,14 @@ describe("UpgradeBannerView", () => {
render( );
expect(screen.getByRole("status")).toHaveTextContent("The latest version is v1.104.0");
});
+
+ it("shows a newer release after the current one was dismissed without remounting", () => {
+ const { rerender } = render( );
+ fireEvent.click(screen.getByRole("button", { name: "Close" }));
+ expect(screen.queryByRole("status")).not.toBeInTheDocument();
+ rerender( );
+ expect(screen.getByRole("status")).toHaveTextContent("The latest version is v1.104.0");
+ });
});
describe("UpgradeBanner", () => {
diff --git a/ui/litellm-dashboard/src/components/UpgradeBanner.tsx b/ui/litellm-dashboard/src/components/UpgradeBanner.tsx
index d990c5112a4..101a6e3410d 100644
--- a/ui/litellm-dashboard/src/components/UpgradeBanner.tsx
+++ b/ui/litellm-dashboard/src/components/UpgradeBanner.tsx
@@ -34,20 +34,20 @@ export const describeRelease = ({ new_features, bug_fixes, other_updates }: Late
].join(", ");
export const UpgradeBannerView: React.FC = ({ currentVersion, latestRelease }) => {
- const [locallyDismissed, setLocallyDismissed] = useState(false);
+ const [dismissedVersion, setDismissedVersion] = useState(null);
if (!currentVersion || !latestRelease || !isNewerVersion(currentVersion, latestRelease.version)) {
return null;
}
const dismissKey = `${DISMISS_KEY_PREFIX}${latestRelease.version}`;
- if (locallyDismissed || getLocalStorageItem(dismissKey) === "true") {
+ if (dismissedVersion === latestRelease.version || getLocalStorageItem(dismissKey) === "true") {
return null;
}
const handleClose = () => {
setLocalStorageItem(dismissKey, "true");
- setLocallyDismissed(true);
+ setDismissedVersion(latestRelease.version);
};
return (
From ec59078ad99d14e9c4b596f89b83c88d607586b8 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 04:17:38 -0700
Subject: [PATCH 063/246] fix: apply configured cache_control_injection_points
beside client cache_control marks
Configured injection points were dropped whenever the request already
carried a client-set cache_control anywhere, so an operator's rolling
tail checkpoint silently never landed once a caller marked its own
system prompt. Only the automatic defaults stand down now. Configured
points skip a target the client already marked and stay under the
provider's 4-block cap, counting the client's marks on messages, system,
tools and the root cache_control first. The chat path carries the tool
count as a stamp on the points because the prompt-management hook never
receives tools.
Fixes #40675
---
.../anthropic_cache_control_hook.py | 212 ++++++++--------
.../anthropic_cache_control_hook.py | 4 +-
.../test_anthropic_cache_control_hook.py | 234 +++++++++++++-----
3 files changed, 270 insertions(+), 180 deletions(-)
diff --git a/litellm/integrations/anthropic_cache_control_hook.py b/litellm/integrations/anthropic_cache_control_hook.py
index 4f9b18713d0..b06372baa78 100644
--- a/litellm/integrations/anthropic_cache_control_hook.py
+++ b/litellm/integrations/anthropic_cache_control_hook.py
@@ -121,6 +121,12 @@ def _carries_cache_breakpoint(block: object) -> bool:
return isinstance(block, dict) and any(block.get(key) is not None for key in CACHE_BREAKPOINT_KEYS)
+def _tool_carries_cache_breakpoint(tool: object) -> bool:
+ return _carries_cache_breakpoint(tool) or (
+ isinstance(tool, dict) and _carries_cache_breakpoint(tool.get("function"))
+ )
+
+
def _accepts_prompt_cache_breakpoint(block: object) -> bool:
return isinstance(block, dict) and block.get("type") in OPENAI_PROMPT_CACHE_BREAKPOINT_BLOCK_TYPES
@@ -131,6 +137,8 @@ def _accepts_prompt_cache_breakpoint(block: object) -> bool:
# rather than spending them on a list that is still missing some of their targets.
CARRY_UNMATCHED_MESSAGE_POINTS: Final = "_litellm_carry_unmatched_cache_control_points"
+EXTERNAL_BREAKPOINTS_STAMP: Final = "_litellm_external_breakpoints"
+
class AnthropicCacheControlHook(CustomPromptManagement):
@staticmethod
@@ -205,10 +213,6 @@ class AnthropicCacheControlHook(CustomPromptManagement):
else:
remaining_points.append(point)
- # Non-message points (currently Bedrock tool_config) are handled in the
- # provider transform, where each tool_config point appends at most one
- # cachePoint to the tools. That block also counts toward Anthropic's
- # limit, so reserve a slot for it here to leave room.
stamped_dialect: Final = injection_points[0].get("_litellm_openai_dialect")
openai_dialect: Final = (
stamped_dialect
@@ -233,8 +237,11 @@ class AnthropicCacheControlHook(CustomPromptManagement):
if carry_unmatched
else tuple(message_points)
)
- reserved_blocks: Final = (
- 1 if not openai_dialect and any(p.get("location") == "tool_config" for p in remaining_points) else 0
+ stamped_external: Final = injection_points[0].get(EXTERNAL_BREAKPOINTS_STAMP)
+ reserved_blocks: Final = AnthropicCacheControlHook._blocks_reserved_outside_messages(
+ remaining_points,
+ stamped_external if isinstance(stamped_external, int) else 0,
+ openai_dialect,
)
breakpoints_before: Final = AnthropicCacheControlHook.count_request_cache_breakpoints(processed_messages)
processed_messages = self._apply_message_injections(
@@ -251,14 +258,12 @@ class AnthropicCacheControlHook(CustomPromptManagement):
# Points this pass did not place: non-message ones for the provider transform, and
# the deferred role-targeted ones. Deferring is what reaches the Responses API's
- # `instructions`, which is only a system message once the bridge builds one. The
- # judged stamp is what makes it safe: the next pass must not re-judge points
- # against messages this pass already marked (see `_should_stand_down`).
+ # `instructions`, which is only a system message once the bridge builds one. A later
+ # pass re-applies them safely: a target that already carries a mark is skipped and
+ # the census counts every mark on the wire, litellm's own included.
carried_points: Final[Sequence[CacheControlInjectionPoint]] = (*remaining_points, *carried_message_points)
if carried_points:
- non_default_params["cache_control_injection_points"] = AnthropicCacheControlHook._stamped_as_judged(
- carried_points
- )
+ non_default_params["cache_control_injection_points"] = list(carried_points)
return model, processed_messages, non_default_params
@@ -293,6 +298,34 @@ class AnthropicCacheControlHook(CustomPromptManagement):
)
return system_blocks + sum(AnthropicCacheControlHook._count_cache_control_blocks(msg) for msg in messages)
+ @staticmethod
+ def count_external_cache_breakpoints(tools: Iterable[object] | None, cache_control: object = None) -> int:
+ """Client breakpoints outside messages and system that the provider cap still counts.
+
+ A tool carries its mark at the top level (Anthropic shape) or under ``function``
+ (OpenAI shape); the Anthropic chat transform forwards both. A top-level
+ ``cache_control`` is Anthropic's automatic caching, which places one breakpoint
+ of its own on top of the explicit ones.
+ """
+ automatic_blocks: Final = 1 if cache_control is not None else 0
+ tool_blocks: Final = sum(1 for tool in tools if _tool_carries_cache_breakpoint(tool)) if tools else 0
+ return automatic_blocks + tool_blocks
+
+ @staticmethod
+ def _blocks_reserved_outside_messages(
+ remaining_points: Sequence[CacheControlInjectionPoint], external_breakpoints: int, openai_dialect: bool
+ ) -> int:
+ """Slots of the provider cap that the message census cannot see.
+
+ The client's breakpoints on tools and its automatic top-level ``cache_control``
+ are already on the wire, and a ``tool_config`` point becomes one more cachePoint
+ in the Bedrock converse transform. OpenAI's cap counts only its own block markers.
+ """
+ if openai_dialect:
+ return 0
+ tool_config_blocks: Final = 1 if any(p.get("location") == "tool_config" for p in remaining_points) else 0
+ return external_breakpoints + tool_config_blocks
+
@staticmethod
def _apply_message_injections(
points: Sequence[CacheControlMessageInjectionPoint],
@@ -473,11 +506,16 @@ class AnthropicCacheControlHook(CustomPromptManagement):
def apply_to_anthropic_messages_request(
messages: list[dict],
system: str | list | None,
- injection_points: list[CacheControlInjectionPoint],
+ injection_points: Sequence[CacheControlInjectionPoint],
openai_dialect: bool = False,
+ external_breakpoints: int = 0,
) -> tuple[list[dict], str | list | None, list[CacheControlInjectionPoint]]:
"""Apply cache control injection for the Anthropic-native v1/messages endpoint.
+ ``external_breakpoints`` is the client's breakpoint count outside ``messages`` and
+ ``system`` (see ``count_external_cache_breakpoints``); it shrinks the budget so
+ the request never exceeds the provider cap.
+
Returns (messages, system, remaining_non_message_points).
"""
if not injection_points:
@@ -500,8 +538,8 @@ class AnthropicCacheControlHook(CustomPromptManagement):
else:
remaining_points.append(point)
- reserved_blocks: Final = (
- 1 if not openai_dialect and any(p.get("location") == "tool_config" for p in remaining_points) else 0
+ reserved_blocks: Final = AnthropicCacheControlHook._blocks_reserved_outside_messages(
+ remaining_points, external_breakpoints, openai_dialect
)
max_blocks: Final = MAX_CACHE_CONTROL_BLOCKS - reserved_blocks
@@ -556,30 +594,26 @@ class AnthropicCacheControlHook(CustomPromptManagement):
return ChatCompletionCachedContent(type="ephemeral")
@staticmethod
- def _stamped_as_judged(points: Sequence[CacheControlInjectionPoint]) -> Sequence[Mapping[str, object]]:
- """Mark written-back points as having passed the client cache_control judgment.
-
- Builds copies because config-owned point dicts are shared across
- requests; mutating them would leak the stamp into future requests.
- """
- return AnthropicCacheControlHook._stamped(points, "_litellm_judged", True)
-
- @staticmethod
- def _judged_configured_points(
+ def _stamped_for_prompt_hook(
points: Sequence[CacheControlInjectionPoint],
- messages: list[AllMessageValues],
- tools: list[object] | None,
- cache_control: object,
+ external_breakpoints: int,
model: str,
custom_llm_provider: str | None,
api_base: object,
prompt_cache_options: object,
- ) -> Sequence[Mapping[str, object]] | None:
- if AnthropicCacheControlHook._should_stand_down(points, messages, None, tools, cache_control):
- return None
- return AnthropicCacheControlHook._stamped_with_dialect(
+ ) -> Sequence[Mapping[str, object]]:
+ """Carry onto the points what the prompt-management hook never receives.
+
+ The hook sees neither the tools nor the request kwargs, so the target dialect
+ and the client's breakpoint count outside the message list ride on the points.
+ Builds copies because config-owned point dicts are shared across requests.
+ """
+ with_dialect: Final = AnthropicCacheControlHook._stamped_with_dialect(
points, model, custom_llm_provider, api_base, prompt_cache_options
)
+ if external_breakpoints == 0:
+ return with_dialect
+ return AnthropicCacheControlHook._stamped(with_dialect, EXTERNAL_BREAKPOINTS_STAMP, external_breakpoints)
@staticmethod
def _stamped_with_dialect(
@@ -600,32 +634,9 @@ class AnthropicCacheControlHook(CustomPromptManagement):
)
@staticmethod
- def _stamped(
- points: Sequence[CacheControlInjectionPoint], key: str, value: object
- ) -> Sequence[Mapping[str, object]]:
+ def _stamped(points: Sequence[Mapping[str, object]], key: str, value: object) -> Sequence[Mapping[str, object]]:
return [{**point, key: value} for point in points]
- @staticmethod
- def _should_stand_down(
- points: Sequence[CacheControlInjectionPoint],
- messages: list[AllMessageValues],
- system: str | list | None,
- tools: list | None,
- cache_control: object = None,
- ) -> bool:
- """Whether configured injection points must yield to client-set cache_control.
-
- Points that a prior pass over this request already judged and wrote
- back carry the internal judged stamp; any re-entry (acompletion
- re-entering completion, the async-to-sync /v1/messages dispatch,
- interceptor sub-calls reusing the request kwargs) must not re-judge
- them, because by then the messages carry litellm's own injected marks
- and the judgment would misread those as client breakpoints.
- """
- if all(point.get("_litellm_judged") for point in points):
- return False
- return AnthropicCacheControlHook._request_has_cache_control(messages, system, tools, cache_control)
-
@staticmethod
def _request_has_cache_control(
messages: list[AllMessageValues],
@@ -635,28 +646,15 @@ class AnthropicCacheControlHook(CustomPromptManagement):
) -> bool:
"""Return True if the request already carries any client-supplied cache_control.
- When the client (e.g. Claude Code) already marks its own breakpoints we
- stand down entirely rather than add more, per the auto-caching contract.
- Tools count: they are a breakpoint the client can mark, they count toward
- the provider's four-block limit, and caching only the tool definitions is
- a common pattern, so injecting alongside them can exceed the cap. Tools
- carry the mark either at the top level (Anthropic shape) or nested under
- ``function`` (OpenAI shape); the Anthropic chat transform accepts both.
+ Only the automatic defaults stand down on it: a client that marks its own
+ breakpoints (Claude Code does) has a caching strategy the defaults would
+ clash with. Configured injection points are an explicit instruction and are
+ applied alongside the client's marks, bounded by the provider cap.
"""
- if cache_control is not None:
- return True
- if AnthropicCacheControlHook.count_request_cache_breakpoints(messages, system) > 0:
- return True
- if tools is not None:
- return any(
- isinstance(tool, dict)
- and (
- tool.get("cache_control") is not None
- or (isinstance(tool.get("function"), dict) and tool["function"].get("cache_control") is not None)
- )
- for tool in tools
- )
- return False
+ return (
+ AnthropicCacheControlHook.count_request_cache_breakpoints(messages, system)
+ + AnthropicCacheControlHook.count_external_cache_breakpoints(tools, cache_control)
+ ) > 0
@staticmethod
def get_default_injection_points(
@@ -779,31 +777,25 @@ class AnthropicCacheControlHook(CustomPromptManagement):
) -> None:
"""For /chat/completions: resolve the injection points the request should carry.
- Configured injection points win over the automatic defaults, but stand
- down entirely when the client already marked its own cache_control
- breakpoints (messages or tools): injecting alongside them clashes with
- the client's caching strategy and can exceed the provider's four-block
- limit. The judgment happens once per request; points a prior pass
- wrote back carry the judged stamp and are never re-judged (see
- ``_should_stand_down``). Seeding the param lets the existing
- prompt-management gate and the AnthropicCacheControlHook run
- unchanged.
+ Configured injection points win over the automatic defaults and are applied
+ even when the client marked its own cache_control elsewhere in the request;
+ the provider's four-block cap bounds them, counting the client's marks on
+ messages, tools and the top-level ``cache_control``. Only the defaults stand
+ down on client marks. Seeding the param lets the existing prompt-management
+ gate and the AnthropicCacheControlHook run unchanged.
"""
- if non_default_params.get("cache_control_injection_points"):
- judged: Final = AnthropicCacheControlHook._judged_configured_points(
- non_default_params["cache_control_injection_points"],
- messages,
- tools,
- non_default_params.get("cache_control"),
+ configured: Final = non_default_params.get("cache_control_injection_points")
+ if configured:
+ non_default_params["cache_control_injection_points"] = AnthropicCacheControlHook._stamped_for_prompt_hook(
+ configured,
+ AnthropicCacheControlHook.count_external_cache_breakpoints(
+ tools, non_default_params.get("cache_control")
+ ),
model,
custom_llm_provider,
api_base,
non_default_params.get("prompt_cache_options"),
)
- if judged is None:
- non_default_params.pop("cache_control_injection_points")
- else:
- non_default_params["cache_control_injection_points"] = judged
return
points: Final = AnthropicCacheControlHook.get_default_injection_points(
messages=messages,
@@ -904,15 +896,14 @@ class AnthropicCacheControlHook(CustomPromptManagement):
) -> tuple[list[dict], str | list | None]:
"""Extract cache_control_injection_points from kwargs and apply if present.
- Configured points stand down entirely when the client already marked
- its own cache_control breakpoints anywhere in the request. The
- judgment happens once per request; points a prior pass wrote back
- carry the judged stamp and are never re-judged (see
- ``_should_stand_down``). When none are configured but
+ Configured points are applied even when the client marked its own
+ cache_control elsewhere in the request, bounded by the provider cap,
+ which counts the client's marks on messages, system, tools and the
+ top-level ``cache_control``. When none are configured but
``litellm.enable_anthropic_prompt_caching`` or the per-request
``enable_prompt_caching`` kwarg (stamped from key metadata) is on,
- synthesize default breakpoints for the native /v1/messages path. Pops
- both keys from kwargs;
+ synthesize default breakpoints for the native /v1/messages path; those
+ defaults alone stand down on client marks. Pops both keys from kwargs;
if remaining (non-message) points exist they are written back so
downstream transforms can handle them.
"""
@@ -924,13 +915,8 @@ class AnthropicCacheControlHook(CustomPromptManagement):
configured: Final = cast( # cast-ok: kwargs is untyped; this key only holds the documented injection-point list
list[CacheControlInjectionPoint] | None, kwargs.pop("cache_control_injection_points", None)
)
- if configured and AnthropicCacheControlHook._should_stand_down(
- configured, typed_messages, system, tools, cache_control
- ):
- return messages, system
- injection_points: list[CacheControlInjectionPoint] = configured or []
- if not injection_points and model is not None:
- injection_points = AnthropicCacheControlHook.get_default_injection_points(
+ injection_points: Final[Sequence[CacheControlInjectionPoint]] = configured or (
+ AnthropicCacheControlHook.get_default_injection_points(
messages=typed_messages,
system=system,
tools=tools,
@@ -940,6 +926,9 @@ class AnthropicCacheControlHook(CustomPromptManagement):
cache_control=cache_control,
request_kwargs=kwargs,
)
+ if model is not None
+ else ()
+ )
if not injection_points:
return messages, system
@@ -952,6 +941,7 @@ class AnthropicCacheControlHook(CustomPromptManagement):
system=system,
injection_points=injection_points,
openai_dialect=openai_dialect,
+ external_breakpoints=AnthropicCacheControlHook.count_external_cache_breakpoints(tools, cache_control),
)
breakpoints_added: Final = (
AnthropicCacheControlHook.count_request_cache_breakpoints(messages, system) - breakpoints_before
@@ -960,7 +950,7 @@ class AnthropicCacheControlHook(CustomPromptManagement):
if openai_dialect and breakpoints_added > 0:
kwargs.setdefault("prompt_cache_options", PromptCacheOptions(mode="explicit"))
if remaining:
- kwargs["cache_control_injection_points"] = AnthropicCacheControlHook._stamped_as_judged(remaining)
+ kwargs["cache_control_injection_points"] = remaining
return messages, system
@property
diff --git a/litellm/types/integrations/anthropic_cache_control_hook.py b/litellm/types/integrations/anthropic_cache_control_hook.py
index ef414f22c3b..20e7885a2bf 100644
--- a/litellm/types/integrations/anthropic_cache_control_hook.py
+++ b/litellm/types/integrations/anthropic_cache_control_hook.py
@@ -17,8 +17,8 @@ class CacheControlMessageInjectionPoint(TypedDict):
role: Literal["user", "system", "assistant"] | None # Optional: target by role (user, system, assistant)
index: int | str | None # Optional: target by specific index
control: ChatCompletionCachedContent | None
- _litellm_judged: NotRequired[bool] # Internal: written back by litellm once the client cache_control judgment ran
_litellm_openai_dialect: NotRequired[ReadOnly[bool]]
+ _litellm_external_breakpoints: NotRequired[ReadOnly[int]]
class CacheControlToolConfigInjectionPoint(TypedDict):
@@ -26,8 +26,8 @@ class CacheControlToolConfigInjectionPoint(TypedDict):
location: Literal["tool_config"]
control: ChatCompletionCachedContent | None
- _litellm_judged: NotRequired[bool] # Internal: written back by litellm once the client cache_control judgment ran
_litellm_openai_dialect: NotRequired[ReadOnly[bool]]
+ _litellm_external_breakpoints: NotRequired[ReadOnly[int]]
CacheControlInjectionPoint = CacheControlMessageInjectionPoint | CacheControlToolConfigInjectionPoint
diff --git a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
index 92b1185e542..3424cc5fed6 100644
--- a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
+++ b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
@@ -1276,11 +1276,7 @@ def test_cache_control_hook_reserves_slot_for_tool_config_point():
)
assert _count_cache_control(processed) == 3
- # The tool_config point is passed through for the provider transform,
- # stamped so re-entries never re-judge it against litellm's own marks.
- assert non_default_params["cache_control_injection_points"] == [
- {"location": "tool_config", "_litellm_judged": True}
- ]
+ assert non_default_params["cache_control_injection_points"] == [{"location": "tool_config"}]
@pytest.mark.asyncio
@@ -2085,13 +2081,17 @@ class TestPerKeyEnablePromptCaching:
assert result_msgs == messages
-class TestConfiguredInjectionPointsStandDown:
- """Configured cache_control_injection_points must stand down entirely when the
- client already set its own cache_control anywhere in the request (LIT-4582);
- injecting alongside client breakpoints clashes with the client's caching
- strategy and can push the request past Anthropic's four-block limit."""
+class TestConfiguredInjectionPointsSurviveClientMarks:
+ """Configured cache_control_injection_points are an explicit instruction, so they
+ apply alongside the client's own cache_control marks (LIT-7586, #40675) instead of
+ standing down on them. What bounds them is Anthropic's four-block cap, which has to
+ count the client's marks on messages, system, tools and the root ``cache_control``
+ (LIT-4582: a client-marked tool the cap could not see produced "Found 5" 400s).
+ Only the automatic defaults stand down on client marks."""
CONFIGURED = [{"location": "message", "role": "system"}]
+ TAIL_POINT = [{"location": "message", "index": -1}]
+ EPHEMERAL = {"type": "ephemeral"}
CLEAN_MESSAGES: List[AllMessageValues] = [
{"role": "system", "content": "sys"},
@@ -2105,6 +2105,23 @@ class TestConfiguredInjectionPointsStandDown:
V1_MESSAGES = [{"role": "user", "content": [{"type": "text", "text": "hi"}]}]
+ MARKED_TOOL_TOP_LEVEL = {
+ "type": "function",
+ "function": {"name": "t", "parameters": {}},
+ "cache_control": {"type": "ephemeral"},
+ }
+ MARKED_TOOL_NESTED = {"type": "function", "function": {"name": "t", "parameters": {}, "cache_control": {"type": "ephemeral"}}}
+ UNMARKED_TOOL = {"type": "function", "function": {"name": "t", "parameters": {}}}
+ MARKED_V1_TOOL = {"name": "t", "input_schema": {}, "cache_control": {"type": "ephemeral"}}
+ UNMARKED_V1_TOOL = {"name": "t", "input_schema": {}}
+
+ @staticmethod
+ def _marked_user_turns(count):
+ return [
+ {"role": "user", "content": [{"type": "text", "text": f"turn {i}", "cache_control": {"type": "ephemeral"}}]}
+ for i in range(count)
+ ]
+
def _seed(self, params, messages, tools=None):
AnthropicCacheControlHook.maybe_seed_default_injection_points(
non_default_params=params,
@@ -2114,6 +2131,17 @@ class TestConfiguredInjectionPointsStandDown:
tools=tools,
)
+ def _chat(self, params, messages):
+ _, processed, _ = AnthropicCacheControlHook().get_chat_completion_prompt(
+ model="claude-sonnet-4-5",
+ messages=messages,
+ non_default_params=params,
+ prompt_id=None,
+ prompt_variables=None,
+ dynamic_callback_params={},
+ )
+ return processed
+
def _inject(self, messages, kwargs, system="sys", tools=None):
return AnthropicCacheControlHook.maybe_inject_cache_control(
messages,
@@ -2124,23 +2152,64 @@ class TestConfiguredInjectionPointsStandDown:
tools=tools,
)
- def test_configured_points_dropped_when_messages_carry_cache_control(self):
+ def test_chat_tail_point_applies_when_client_marked_the_system_block(self):
+ """The issue's shape: the client caches its system prompt, the deployment is
+ configured to cache the trailing turn, and both marks must reach the provider."""
+ messages: List[AllMessageValues] = [
+ {"role": "system", "content": [{"type": "text", "text": "sys", "cache_control": {"type": "ephemeral"}}]},
+ {"role": "user", "content": "history"},
+ {"role": "assistant", "content": "reply"},
+ {"role": "user", "content": "question"},
+ ]
+ params = {"cache_control_injection_points": copy.deepcopy(self.TAIL_POINT)}
+ self._seed(params, messages)
+ processed = self._chat(params, messages)
+ assert processed[0] == messages[0]
+ assert processed[-1] == {"role": "user", "content": "question", "cache_control": self.EPHEMERAL}
+ assert _count_cache_control(processed) == 2
+
+ def test_chat_configured_points_apply_when_messages_carry_cache_control(self):
params = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED)}
self._seed(params, copy.deepcopy(self.MARKED_MESSAGES))
- assert "cache_control_injection_points" not in params
+ processed = self._chat(params, copy.deepcopy(self.MARKED_MESSAGES))
+ assert processed[0] == {"role": "system", "content": "sys", "cache_control": self.EPHEMERAL}
+ assert processed[1] == self.MARKED_MESSAGES[1]
@pytest.mark.parametrize(
- "tool",
- [
- {"type": "function", "function": {"name": "t", "parameters": {}}, "cache_control": {"type": "ephemeral"}},
- {"type": "function", "function": {"name": "t", "parameters": {}, "cache_control": {"type": "ephemeral"}}},
- ],
- ids=["top_level", "nested_in_function"],
+ "tool", [MARKED_TOOL_TOP_LEVEL, MARKED_TOOL_NESTED], ids=["top_level", "nested_in_function"]
)
- def test_configured_points_dropped_when_tools_carry_cache_control(self, tool):
+ def test_chat_configured_points_apply_when_tools_carry_cache_control(self, tool):
params = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED)}
self._seed(params, copy.deepcopy(self.CLEAN_MESSAGES), tools=[tool])
- assert "cache_control_injection_points" not in params
+ processed = self._chat(params, copy.deepcopy(self.CLEAN_MESSAGES))
+ assert processed[0] == {"role": "system", "content": "sys", "cache_control": self.EPHEMERAL}
+
+ @pytest.mark.parametrize(
+ "tool,injected",
+ [(MARKED_TOOL_TOP_LEVEL, 0), (MARKED_TOOL_NESTED, 0), (UNMARKED_TOOL, 1)],
+ ids=["marked_top_level", "marked_nested_in_function", "unmarked"],
+ )
+ def test_chat_cap_counts_client_marked_tools(self, tool, injected):
+ """LIT-4582 regression: the prompt-management hook never sees the tools, so the
+ seeding pass has to carry the client's tool marks into the cap or a configured
+ point lands as a fifth block."""
+ messages = [{"role": "system", "content": "sys"}, *self._marked_user_turns(3)]
+ params = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED)}
+ self._seed(params, copy.deepcopy(messages), tools=[tool])
+ processed = self._chat(params, copy.deepcopy(messages))
+ assert _count_cache_control(processed) == 3 + injected
+
+ @pytest.mark.parametrize("marked_turns,injected", [(2, 1), (3, 0)])
+ def test_chat_root_cache_control_reserves_a_slot(self, marked_turns, injected):
+ """Anthropic's automatic caching (a top-level ``cache_control``) places one
+ breakpoint of its own, so it counts toward the cap like a client mark."""
+ messages = [{"role": "system", "content": "sys"}, *self._marked_user_turns(marked_turns)]
+ root_cache_control = {"type": "ephemeral"}
+ params = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED), "cache_control": root_cache_control}
+ self._seed(params, copy.deepcopy(messages))
+ processed = self._chat(params, copy.deepcopy(messages))
+ assert _count_cache_control(processed) == marked_turns + injected
+ assert params["cache_control"] is root_cache_control
def test_configured_points_kept_when_request_is_unmarked(self):
configured = copy.deepcopy(self.CONFIGURED)
@@ -2148,60 +2217,68 @@ class TestConfiguredInjectionPointsStandDown:
self._seed(params, copy.deepcopy(self.CLEAN_MESSAGES))
assert params["cache_control_injection_points"] is configured
- def test_judged_remainder_survives_reentry_despite_injected_marks(self):
- """acompletion() re-enters completion() after injection ran, with only the
- stamped non-message points written back; the re-entry must not misread
- litellm's own marks as client ones and drop that remainder."""
- remainder = [{"location": "tool_config", "_litellm_judged": True}]
- params = {"cache_control_injection_points": remainder}
- self._seed(params, copy.deepcopy(self.MARKED_MESSAGES))
- assert params["cache_control_injection_points"] is remainder
+ def test_chat_reentry_over_injected_messages_adds_no_duplicate_marks(self):
+ """acompletion() re-enters completion() and interceptor sub-calls reuse the
+ request kwargs, so the same configured points meet messages that already carry
+ litellm's own marks; the second pass must leave them as they are."""
+ points = [{"location": "message", "role": "system"}, {"location": "tool_config"}]
+ first_params = {"cache_control_injection_points": copy.deepcopy(points)}
+ self._seed(first_params, copy.deepcopy(self.MARKED_MESSAGES))
+ first = self._chat(first_params, copy.deepcopy(self.MARKED_MESSAGES))
+ assert _count_cache_control(first) == 2
+ assert first_params["cache_control_injection_points"] == [{"location": "tool_config"}]
- def test_v1_messages_stand_down_when_content_block_marked(self):
+ second_params = {"cache_control_injection_points": copy.deepcopy(points)}
+ self._seed(second_params, copy.deepcopy(first))
+ second = self._chat(second_params, copy.deepcopy(first))
+ assert second == first
+ assert second_params["cache_control_injection_points"] == [{"location": "tool_config"}]
+
+ def test_v1_messages_configured_point_applies_when_content_block_marked(self):
messages = [
{"role": "user", "content": [{"type": "text", "text": "hi", "cache_control": {"type": "ephemeral"}}]}
]
kwargs = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED)}
result_msgs, result_sys = self._inject(copy.deepcopy(messages), kwargs)
assert result_msgs == messages
- assert result_sys == "sys"
+ assert result_sys == [{"type": "text", "text": "sys", "cache_control": self.EPHEMERAL}]
assert "cache_control_injection_points" not in kwargs
- def test_v1_messages_stand_down_when_system_block_marked(self):
- """A configured point targeting a message must not fire when the client
- marked the system prompt; the old behavior injected into the message
- because only the exact targeted position was guarded."""
+ def test_v1_messages_tail_point_applies_when_system_block_marked(self):
system = [{"type": "text", "text": "s", "cache_control": {"type": "ephemeral"}}]
- kwargs = {"cache_control_injection_points": [{"location": "message", "role": "user"}]}
+ kwargs = {"cache_control_injection_points": copy.deepcopy(self.TAIL_POINT)}
result_msgs, result_sys = self._inject(copy.deepcopy(self.V1_MESSAGES), kwargs, system=system)
- assert result_msgs == self.V1_MESSAGES
+ assert result_msgs == [{"role": "user", "content": [{"type": "text", "text": "hi", "cache_control": self.EPHEMERAL}]}]
assert result_sys == system
- assert "cache_control_injection_points" not in kwargs
- def test_v1_messages_stand_down_when_tools_marked(self):
- tools = [{"name": "t", "input_schema": {}, "cache_control": {"type": "ephemeral"}}]
+ def test_v1_messages_configured_point_applies_when_tools_marked(self):
kwargs = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED)}
- result_msgs, result_sys = self._inject(copy.deepcopy(self.V1_MESSAGES), kwargs, tools=tools)
+ result_msgs, result_sys = self._inject(copy.deepcopy(self.V1_MESSAGES), kwargs, tools=[self.MARKED_V1_TOOL])
assert result_msgs == self.V1_MESSAGES
- assert result_sys == "sys"
- assert "cache_control_injection_points" not in kwargs
+ assert result_sys == [{"type": "text", "text": "sys", "cache_control": self.EPHEMERAL}]
+
+ @pytest.mark.parametrize(
+ "tool,expected_system",
+ [
+ (MARKED_V1_TOOL, "sys"),
+ (UNMARKED_V1_TOOL, [{"type": "text", "text": "sys", "cache_control": {"type": "ephemeral"}}]),
+ ],
+ ids=["marked", "unmarked"],
+ )
+ def test_v1_messages_cap_counts_client_marked_tools(self, tool, expected_system):
+ kwargs = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED)}
+ _, result_sys = self._inject(self._marked_user_turns(3), kwargs, tools=[tool])
+ assert result_sys == expected_system
def test_v1_messages_configured_points_apply_when_unmarked(self):
kwargs = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED)}
_, result_sys = self._inject(copy.deepcopy(self.V1_MESSAGES), kwargs)
assert result_sys == [{"type": "text", "text": "sys", "cache_control": {"type": "ephemeral"}}]
- @pytest.mark.parametrize(
- "configured",
- [None, CONFIGURED],
- ids=["automatic_defaults", "configured_points"],
- )
- def test_v1_messages_stands_down_for_root_cache_control(self, monkeypatch, configured):
+ def test_v1_messages_automatic_defaults_stand_down_for_root_cache_control(self, monkeypatch):
monkeypatch.setattr(litellm, "enable_anthropic_prompt_caching", True)
root_cache_control = {"type": "ephemeral"}
kwargs = {"cache_control": root_cache_control, "litellm_metadata": {}}
- if configured is not None:
- kwargs["cache_control_injection_points"] = copy.deepcopy(configured)
result_messages, result_system = self._inject(copy.deepcopy(self.V1_MESSAGES), kwargs)
@@ -2210,17 +2287,33 @@ class TestConfiguredInjectionPointsStandDown:
assert kwargs["cache_control"] is root_cache_control
assert "litellm_gateway_injected_cache" not in kwargs["litellm_metadata"]
+ @pytest.mark.parametrize(
+ "marked_turns,expected_system",
+ [(2, [{"type": "text", "text": "sys", "cache_control": {"type": "ephemeral"}}]), (3, "sys")],
+ )
+ def test_v1_messages_configured_points_apply_with_root_cache_control_reserving_a_slot(
+ self, marked_turns, expected_system
+ ):
+ root_cache_control = {"type": "ephemeral"}
+ kwargs = {
+ "cache_control": root_cache_control,
+ "cache_control_injection_points": copy.deepcopy(self.CONFIGURED),
+ }
+ _, result_system = self._inject(self._marked_user_turns(marked_turns), kwargs)
+ assert result_system == expected_system
+ assert kwargs["cache_control"] is root_cache_control
+
def test_v1_messages_reentry_flow_preserves_tool_config_remainder(self):
"""The advisor interceptor re-enters anthropic_messages() with the outer
request's kwargs and post-injection messages. The first pass applies the
- message point and writes back a stamped tool_config remainder; the
- re-entry must keep that remainder even though the messages and system
- now carry litellm's own marks."""
+ message point and writes back the tool_config remainder; the re-entry must
+ keep that remainder and add no mark even though the messages and system
+ now carry litellm's own."""
points = [{"location": "message", "role": "system"}, {"location": "tool_config"}]
kwargs = {"cache_control_injection_points": copy.deepcopy(points)}
msgs1, sys1 = self._inject(copy.deepcopy(self.V1_MESSAGES), kwargs)
assert sys1[0]["cache_control"] == {"type": "ephemeral"}
- expected_remainder = [{"location": "tool_config", "_litellm_judged": True}]
+ expected_remainder = [{"location": "tool_config"}]
assert kwargs["cache_control_injection_points"] == expected_remainder
msgs2, sys2 = self._inject(msgs1, kwargs, system=sys1)
@@ -2459,22 +2552,22 @@ class TestOpenAIPromptCacheBreakpoint:
assert system == [{"type": "text", "text": "sys", "cache_control": {"type": "ephemeral"}}]
assert kwargs == {}
- def test_v1_messages_client_content_breakpoint_makes_configured_points_stand_down(self):
+ def test_v1_messages_configured_points_apply_beside_client_content_breakpoint(self):
messages = [{"role": "user", "content": [{"type": "text", "text": "hi", "prompt_cache_breakpoint": self.EXPLICIT}]}]
kwargs = {"cache_control_injection_points": copy.deepcopy(self.SYSTEM_POINT)}
result, system = self._inject(messages, "sys", kwargs)
assert result == messages
- assert system == "sys"
- assert kwargs == {}
+ assert system == [{"type": "text", "text": "sys", "prompt_cache_breakpoint": self.EXPLICIT}]
+ assert kwargs == {"prompt_cache_options": self.EXPLICIT}
- def test_v1_messages_client_system_breakpoint_makes_configured_points_stand_down(self):
+ def test_v1_messages_tail_point_applies_beside_client_system_breakpoint(self):
system = [{"type": "text", "text": "sys", "prompt_cache_breakpoint": self.EXPLICIT}]
messages = [{"role": "user", "content": [{"type": "text", "text": "hi"}]}]
kwargs = {"cache_control_injection_points": [{"location": "message", "index": -1}]}
result, result_system = self._inject(messages, system, kwargs)
- assert result == messages
+ assert result == [{"role": "user", "content": [{"type": "text", "text": "hi", "prompt_cache_breakpoint": self.EXPLICIT}]}]
assert result_system == system
- assert kwargs == {}
+ assert kwargs == {"prompt_cache_options": self.EXPLICIT}
def test_chat_system_string_wrapped_with_block_breakpoint(self):
params = {"cache_control_injection_points": copy.deepcopy(self.SYSTEM_POINT)}
@@ -2538,18 +2631,25 @@ class TestOpenAIPromptCacheBreakpoint:
assert processed[0] == {"role": "system", "content": "sys", "cache_control": {"type": "ephemeral"}}
assert params == {}
- def test_chat_client_breakpoint_makes_seeded_points_stand_down(self):
+ def test_chat_seeded_points_apply_beside_client_breakpoint(self):
params = {"cache_control_injection_points": copy.deepcopy(self.SYSTEM_POINT)}
+ messages = [
+ {"role": "system", "content": "sys"},
+ {"role": "user", "content": [{"type": "text", "text": "hi", "prompt_cache_breakpoint": self.EXPLICIT}]},
+ ]
AnthropicCacheControlHook.maybe_seed_default_injection_points(
non_default_params=params,
- messages=[
- {"role": "system", "content": "sys"},
- {"role": "user", "content": [{"type": "text", "text": "hi", "prompt_cache_breakpoint": self.EXPLICIT}]},
- ],
+ messages=messages,
model="openai/gpt-5.6",
custom_llm_provider="openai",
)
- assert params == {}
+ assert params["cache_control_injection_points"] == [
+ {"location": "message", "role": "system", "_litellm_openai_dialect": True}
+ ]
+ _, processed, _ = self._chat(messages, params)
+ assert processed[0]["content"] == [{"type": "text", "text": "sys", "prompt_cache_breakpoint": self.EXPLICIT}]
+ assert processed[1] == messages[1]
+ assert params["prompt_cache_options"] == self.EXPLICIT
def test_cap_counts_client_breakpoints_of_both_kinds(self):
messages = [
@@ -3143,7 +3243,7 @@ class TestRecordGatewayInjection:
assert kwargs["litellm_metadata"][self.KEY] == self.DEPLOYMENT
def test_configured_points_skipping_a_marked_target_record_nothing(self):
- """Configured injection stands down on client breakpoints, so no marker lands."""
+ """A configured point whose target the client already marked places nothing, so no marker lands."""
kwargs: dict = {
"litellm_metadata": {},
"cache_control_injection_points": [{"location": "message", "role": "system", "index": None}],
From 171b33abfedf8e6ccded1bef7e5f9ce60081ad32 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 04:53:15 -0700
Subject: [PATCH 064/246] fix: leave tool-search tool marks out of the
chat-path cache breakpoint census
---
.../anthropic_cache_control_hook.py | 16 +++++++++---
litellm/types/llms/anthropic.py | 4 +++
.../test_anthropic_cache_control_hook.py | 25 ++++++++++++++++++-
3 files changed, 40 insertions(+), 5 deletions(-)
diff --git a/litellm/integrations/anthropic_cache_control_hook.py b/litellm/integrations/anthropic_cache_control_hook.py
index b06372baa78..6f90acade10 100644
--- a/litellm/integrations/anthropic_cache_control_hook.py
+++ b/litellm/integrations/anthropic_cache_control_hook.py
@@ -33,6 +33,7 @@ from litellm.types.integrations.anthropic_cache_control_hook import (
CacheControlMessageInjectionPoint,
)
from litellm.types.llms.anthropic import (
+ ANTHROPIC_TOOL_SEARCH_TOOL_TYPES,
AllAnthropicToolsValues,
AnthropicSystemMessageContent,
)
@@ -127,6 +128,10 @@ def _tool_carries_cache_breakpoint(tool: object) -> bool:
)
+def _chat_transform_drops_tool_cache_control(tool: object) -> bool:
+ return isinstance(tool, dict) and tool.get("type") in ANTHROPIC_TOOL_SEARCH_TOOL_TYPES
+
+
def _accepts_prompt_cache_breakpoint(block: object) -> bool:
return isinstance(block, dict) and block.get("type") in OPENAI_PROMPT_CACHE_BREAKPOINT_BLOCK_TYPES
@@ -303,9 +308,9 @@ class AnthropicCacheControlHook(CustomPromptManagement):
"""Client breakpoints outside messages and system that the provider cap still counts.
A tool carries its mark at the top level (Anthropic shape) or under ``function``
- (OpenAI shape); the Anthropic chat transform forwards both. A top-level
- ``cache_control`` is Anthropic's automatic caching, which places one breakpoint
- of its own on top of the explicit ones.
+ (OpenAI shape). A top-level ``cache_control`` is Anthropic's automatic caching,
+ which places one breakpoint of its own on top of the explicit ones. Callers
+ pass only the tools whose mark reaches the provider on their path.
"""
automatic_blocks: Final = 1 if cache_control is not None else 0
tool_blocks: Final = sum(1 for tool in tools if _tool_carries_cache_breakpoint(tool)) if tools else 0
@@ -786,10 +791,13 @@ class AnthropicCacheControlHook(CustomPromptManagement):
"""
configured: Final = non_default_params.get("cache_control_injection_points")
if configured:
+ tools_keeping_marks: Final = tuple(
+ tool for tool in tools or () if not _chat_transform_drops_tool_cache_control(tool)
+ )
non_default_params["cache_control_injection_points"] = AnthropicCacheControlHook._stamped_for_prompt_hook(
configured,
AnthropicCacheControlHook.count_external_cache_breakpoints(
- tools, non_default_params.get("cache_control")
+ tools_keeping_marks, non_default_params.get("cache_control")
),
model,
custom_llm_provider,
diff --git a/litellm/types/llms/anthropic.py b/litellm/types/llms/anthropic.py
index bcd24695f25..43a7b0e0e9c 100644
--- a/litellm/types/llms/anthropic.py
+++ b/litellm/types/llms/anthropic.py
@@ -753,6 +753,10 @@ class ANTHROPIC_BETA_HEADER_VALUES(str, Enum):
# Tool search beta header constant (for Anthropic direct API and Microsoft Foundry)
ANTHROPIC_TOOL_SEARCH_BETA_HEADER: Final = "advanced-tool-use-2025-11-20"
+ANTHROPIC_TOOL_SEARCH_TOOL_TYPES: Final = frozenset(
+ {"tool_search_tool_regex_20251119", "tool_search_tool_bm25_20251119"}
+)
+
# Effort beta header constant
ANTHROPIC_EFFORT_BETA_HEADER: Final = "effort-2025-11-24"
diff --git a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
index 3424cc5fed6..1dfd9cf619b 100644
--- a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
+++ b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
@@ -2114,6 +2114,16 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
UNMARKED_TOOL = {"type": "function", "function": {"name": "t", "parameters": {}}}
MARKED_V1_TOOL = {"name": "t", "input_schema": {}, "cache_control": {"type": "ephemeral"}}
UNMARKED_V1_TOOL = {"name": "t", "input_schema": {}}
+ MARKED_TOOL_SEARCH_REGEX = {
+ "type": "tool_search_tool_regex_20251119",
+ "name": "tool_search",
+ "cache_control": {"type": "ephemeral"},
+ }
+ MARKED_TOOL_SEARCH_BM25 = {
+ "type": "tool_search_tool_bm25_20251119",
+ "name": "tool_search",
+ "cache_control": {"type": "ephemeral"},
+ }
@staticmethod
def _marked_user_turns(count):
@@ -2199,6 +2209,17 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
processed = self._chat(params, copy.deepcopy(messages))
assert _count_cache_control(processed) == 3 + injected
+ @pytest.mark.parametrize("tool", [MARKED_TOOL_SEARCH_REGEX, MARKED_TOOL_SEARCH_BM25], ids=["regex", "bm25"])
+ def test_chat_cap_ignores_marked_tool_search_tools(self, tool):
+ """The chat transform strips cache_control from tool-search tools before the
+ request leaves, so a client mark there never reaches the provider's cap and
+ must not cost the configured point its fourth slot."""
+ messages = [{"role": "system", "content": "sys"}, *self._marked_user_turns(3)]
+ params = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED)}
+ self._seed(params, copy.deepcopy(messages), tools=[tool])
+ processed = self._chat(params, copy.deepcopy(messages))
+ assert _count_cache_control(processed) == 4
+
@pytest.mark.parametrize("marked_turns,injected", [(2, 1), (3, 0)])
def test_chat_root_cache_control_reserves_a_slot(self, marked_turns, injected):
"""Anthropic's automatic caching (a top-level ``cache_control``) places one
@@ -2261,9 +2282,11 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
"tool,expected_system",
[
(MARKED_V1_TOOL, "sys"),
+ (MARKED_TOOL_SEARCH_REGEX, "sys"),
+ (MARKED_TOOL_SEARCH_BM25, "sys"),
(UNMARKED_V1_TOOL, [{"type": "text", "text": "sys", "cache_control": {"type": "ephemeral"}}]),
],
- ids=["marked", "unmarked"],
+ ids=["marked", "marked_tool_search_regex", "marked_tool_search_bm25", "unmarked"],
)
def test_v1_messages_cap_counts_client_marked_tools(self, tool, expected_system):
kwargs = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED)}
From 752092592482299d6785970ccde6c289815082b3 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 06:28:16 -0700
Subject: [PATCH 065/246] fix: forward a tool_config point only while the cap
has a slot left
---
.../anthropic_cache_control_hook.py | 67 +++++++----
.../test_anthropic_cache_control_hook.py | 112 ++++++++++++++++--
2 files changed, 142 insertions(+), 37 deletions(-)
diff --git a/litellm/integrations/anthropic_cache_control_hook.py b/litellm/integrations/anthropic_cache_control_hook.py
index 6f90acade10..cff7d23935c 100644
--- a/litellm/integrations/anthropic_cache_control_hook.py
+++ b/litellm/integrations/anthropic_cache_control_hook.py
@@ -209,14 +209,12 @@ class AnthropicCacheControlHook(CustomPromptManagement):
# Create a deep copy of messages to avoid modifying the original list
processed_messages = copy.deepcopy(messages)
- # Separate message-level and non-message-level injection points
- message_points: Final[list[CacheControlMessageInjectionPoint]] = []
- remaining_points: Final[list[CacheControlInjectionPoint]] = []
- for point in injection_points:
- if point.get("location") == "message":
- message_points.append(cast(CacheControlMessageInjectionPoint, point))
- else:
- remaining_points.append(point)
+ message_points: Final = tuple(
+ cast(CacheControlMessageInjectionPoint, point)
+ for point in injection_points
+ if point.get("location") == "message"
+ )
+ remaining_points: Final = tuple(point for point in injection_points if point.get("location") != "message")
stamped_dialect: Final = injection_points[0].get("_litellm_openai_dialect")
openai_dialect: Final = (
@@ -243,10 +241,9 @@ class AnthropicCacheControlHook(CustomPromptManagement):
else tuple(message_points)
)
stamped_external: Final = injection_points[0].get(EXTERNAL_BREAKPOINTS_STAMP)
+ external_breakpoints: Final = stamped_external if isinstance(stamped_external, int) else 0
reserved_blocks: Final = AnthropicCacheControlHook._blocks_reserved_outside_messages(
- remaining_points,
- stamped_external if isinstance(stamped_external, int) else 0,
- openai_dialect,
+ remaining_points, external_breakpoints, openai_dialect
)
breakpoints_before: Final = AnthropicCacheControlHook.count_request_cache_breakpoints(processed_messages)
processed_messages = self._apply_message_injections(
@@ -266,7 +263,14 @@ class AnthropicCacheControlHook(CustomPromptManagement):
# `instructions`, which is only a system message once the bridge builds one. A later
# pass re-applies them safely: a target that already carries a mark is skipped and
# the census counts every mark on the wire, litellm's own included.
- carried_points: Final[Sequence[CacheControlInjectionPoint]] = (*remaining_points, *carried_message_points)
+ carried_points: Final[Sequence[CacheControlInjectionPoint]] = (
+ *AnthropicCacheControlHook._points_with_a_slot_left(
+ remaining_points,
+ AnthropicCacheControlHook.count_request_cache_breakpoints(processed_messages) + external_breakpoints,
+ openai_dialect,
+ ),
+ *carried_message_points,
+ )
if carried_points:
non_default_params["cache_control_injection_points"] = list(carried_points)
@@ -331,6 +335,16 @@ class AnthropicCacheControlHook(CustomPromptManagement):
tool_config_blocks: Final = 1 if any(p.get("location") == "tool_config" for p in remaining_points) else 0
return external_breakpoints + tool_config_blocks
+ @staticmethod
+ def _points_with_a_slot_left(
+ remaining_points: Sequence[CacheControlInjectionPoint], breakpoints_on_wire: int, openai_dialect: bool
+ ) -> tuple[CacheControlInjectionPoint, ...]:
+ """A ``tool_config`` point becomes a cachePoint the Bedrock converse transform never
+ counts against the cap, so it is forwarded only while the wire still has a slot."""
+ if openai_dialect or breakpoints_on_wire < MAX_CACHE_CONTROL_BLOCKS:
+ return tuple(remaining_points)
+ return tuple(point for point in remaining_points if point.get("location") != "tool_config")
+
@staticmethod
def _apply_message_injections(
points: Sequence[CacheControlMessageInjectionPoint],
@@ -529,19 +543,14 @@ class AnthropicCacheControlHook(CustomPromptManagement):
processed_messages: list[dict] = copy.deepcopy(messages)
processed_system = copy.deepcopy(system) if system is not None else None
- message_points: Final[list[CacheControlMessageInjectionPoint]] = []
- system_points: Final[list[CacheControlMessageInjectionPoint]] = []
- remaining_points: Final[list[CacheControlInjectionPoint]] = []
-
- for point in injection_points:
- if point.get("location") == "message":
- msg_point = cast(CacheControlMessageInjectionPoint, point)
- if msg_point.get("role") == "system":
- system_points.append(msg_point)
- else:
- message_points.append(msg_point)
- else:
- remaining_points.append(point)
+ role_points: Final = tuple(
+ cast(CacheControlMessageInjectionPoint, point)
+ for point in injection_points
+ if point.get("location") == "message"
+ )
+ system_points: Final = tuple(point for point in role_points if point.get("role") == "system")
+ message_points: Final = tuple(point for point in role_points if point.get("role") != "system")
+ remaining_points: Final = tuple(point for point in injection_points if point.get("location") != "message")
reserved_blocks: Final = AnthropicCacheControlHook._blocks_reserved_outside_messages(
remaining_points, external_breakpoints, openai_dialect
@@ -581,8 +590,14 @@ class AnthropicCacheControlHook(CustomPromptManagement):
max_blocks=max_blocks - system_blocks,
openai_dialect=openai_dialect,
)
+ forwarded_points: Final = AnthropicCacheControlHook._points_with_a_slot_left(
+ remaining_points,
+ AnthropicCacheControlHook.count_request_cache_breakpoints(processed_messages, processed_system)
+ + external_breakpoints,
+ openai_dialect,
+ )
- return processed_messages, processed_system, remaining_points
+ return processed_messages, processed_system, list(forwarded_points)
@staticmethod
def _default_control() -> ChatCompletionCachedContent:
diff --git a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
index 1dfd9cf619b..2723526ae6b 100644
--- a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
+++ b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
@@ -1335,17 +1335,7 @@ async def test_cache_control_hook_bedrock_payload_caps_with_tool_config_point(mo
)
request_body = json.loads(mock_post.call_args.kwargs["data"])
-
- cache_points = sum(
- 1 for block in request_body.get("system", []) if isinstance(block, dict) and "cachePoint" in block
- )
- for msg in request_body.get("messages", []):
- content = msg.get("content", [])
- if isinstance(content, list):
- cache_points += sum(1 for block in content if isinstance(block, dict) and "cachePoint" in block)
- for tool in request_body.get("toolConfig", {}).get("tools", []):
- if isinstance(tool, dict) and "cachePoint" in tool:
- cache_points += 1
+ cache_points = _count_converse_cache_points(request_body)
assert cache_points <= 4, (
f"Bedrock payload exceeded Anthropic's 4 cache_control block limit "
@@ -1353,6 +1343,89 @@ async def test_cache_control_hook_bedrock_payload_caps_with_tool_config_point(mo
)
+def _count_converse_cache_points(request_body: dict) -> int:
+ system_points = sum(
+ 1 for block in request_body.get("system", []) if isinstance(block, dict) and "cachePoint" in block
+ )
+ message_points = sum(
+ 1
+ for msg in request_body.get("messages", [])
+ if isinstance(msg.get("content"), list)
+ for block in msg["content"]
+ if isinstance(block, dict) and "cachePoint" in block
+ )
+ tool_points = sum(
+ 1
+ for tool in request_body.get("toolConfig", {}).get("tools", [])
+ if isinstance(tool, dict) and "cachePoint" in tool
+ )
+ return system_points + message_points + tool_points
+
+
+@pytest.mark.asyncio
+async def test_cache_control_hook_bedrock_tool_config_point_stands_down_when_client_marks_fill_the_cap(
+ monkeypatch: pytest.MonkeyPatch,
+):
+ """The client's own four marks fill the cap, so the configured tool_config point must
+ not land as a fifth cachePoint in the converse payload."""
+ with patch.dict(
+ os.environ,
+ {
+ "AWS_ACCESS_KEY_ID": "fake_access_key_id",
+ "AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
+ "AWS_REGION_NAME": "us-east-1",
+ },
+ ):
+ monkeypatch.setattr(litellm, "callbacks", [AnthropicCacheControlHook()])
+
+ mock_response = MagicMock()
+ mock_response.json.return_value = {
+ "output": {"message": {"role": "assistant", "content": "ok"}},
+ "stopReason": "end_turn",
+ "usage": {"inputTokens": 100, "outputTokens": 4, "totalTokens": 104},
+ }
+ mock_response.status_code = 200
+
+ client = AsyncHTTPHandler()
+ with patch.object(client, "post", return_value=mock_response) as mock_post:
+ marked = {"type": "ephemeral"}
+ messages = [
+ {"role": "system", "content": [{"type": "text", "text": "sys", "cache_control": marked}]},
+ *(
+ {"role": "user", "content": [{"type": "text", "text": f"turn {i}", "cache_control": marked}]}
+ for i in range(3)
+ ),
+ {"role": "user", "content": "What is the weather?"},
+ ]
+
+ await litellm.acompletion(
+ model="bedrock/us.anthropic.claude-opus-4-6-v1:0",
+ messages=messages,
+ max_tokens=32,
+ tools=[
+ {
+ "type": "function",
+ "function": {
+ "name": "get_weather",
+ "description": "Get weather for a location",
+ "parameters": {
+ "type": "object",
+ "properties": {"location": {"type": "string"}},
+ "required": ["location"],
+ },
+ },
+ }
+ ],
+ cache_control_injection_points=[{"location": "tool_config"}],
+ client=client,
+ )
+
+ request_body = json.loads(mock_post.call_args.kwargs["data"])
+
+ assert _count_converse_cache_points(request_body) == 4
+ assert not any("cachePoint" in tool for tool in request_body["toolConfig"]["tools"])
+
+
class TestApplyToAnthropicMessagesRequest:
"""Tests for apply_to_anthropic_messages_request (v1/messages cache control)."""
@@ -2091,6 +2164,7 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
CONFIGURED = [{"location": "message", "role": "system"}]
TAIL_POINT = [{"location": "message", "index": -1}]
+ TOOL_CONFIG_POINT = [{"location": "tool_config"}]
EPHEMERAL = {"type": "ephemeral"}
CLEAN_MESSAGES: List[AllMessageValues] = [
@@ -2220,6 +2294,22 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
processed = self._chat(params, copy.deepcopy(messages))
assert _count_cache_control(processed) == 4
+ @pytest.mark.parametrize("marked_turns,forwarded", [(3, ["tool_config"]), (4, [])], ids=["slot_left", "cap_full"])
+ def test_chat_forwards_tool_config_point_only_while_a_slot_is_left(self, marked_turns, forwarded):
+ """A forwarded tool_config point becomes a Bedrock cachePoint unconditionally, so
+ it stands down once the client's own marks fill the cap."""
+ messages = [{"role": "system", "content": "sys"}, *self._marked_user_turns(marked_turns)]
+ params = {"cache_control_injection_points": copy.deepcopy(self.TOOL_CONFIG_POINT)}
+ self._seed(params, copy.deepcopy(messages), tools=[self.UNMARKED_TOOL])
+ self._chat(params, copy.deepcopy(messages))
+ assert [p["location"] for p in params.get("cache_control_injection_points", [])] == forwarded
+
+ @pytest.mark.parametrize("marked_turns,forwarded", [(3, ["tool_config"]), (4, [])], ids=["slot_left", "cap_full"])
+ def test_v1_messages_forwards_tool_config_point_only_while_a_slot_is_left(self, marked_turns, forwarded):
+ kwargs = {"cache_control_injection_points": copy.deepcopy(self.TOOL_CONFIG_POINT)}
+ self._inject(self._marked_user_turns(marked_turns), kwargs, tools=[self.UNMARKED_V1_TOOL])
+ assert [p["location"] for p in kwargs.get("cache_control_injection_points", [])] == forwarded
+
@pytest.mark.parametrize("marked_turns,injected", [(2, 1), (3, 0)])
def test_chat_root_cache_control_reserves_a_slot(self, marked_turns, injected):
"""Anthropic's automatic caching (a top-level ``cache_control``) places one
From 52aa20d138aaab58f751cbcd2b5c376d441232d2 Mon Sep 17 00:00:00 2001
From: Moe Khalil
Date: Sat, 19 Sep 2026 17:49:55 +0000
Subject: [PATCH 066/246] refactor(auto-router): freeze JEV logging input
mappings
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../complexity_router/jev_classifier.py | 16 +++++++++-------
1 file changed, 9 insertions(+), 7 deletions(-)
diff --git a/litellm/router_strategy/complexity_router/jev_classifier.py b/litellm/router_strategy/complexity_router/jev_classifier.py
index de23824a5f6..acaf19a5aba 100644
--- a/litellm/router_strategy/complexity_router/jev_classifier.py
+++ b/litellm/router_strategy/complexity_router/jev_classifier.py
@@ -118,12 +118,14 @@ class HttpJevClassifierClient:
return
end_time: Final = datetime.now(timezone.utc)
parent: Final = request_kwargs or MappingProxyType({})
- parent_metadata: Final = {
- key: value
- for field in ("metadata", "litellm_metadata")
- if isinstance(metadata := parent.get(field), Mapping)
- for key, value in TypeAdapter(Mapping[str, object]).validate_python(metadata).items()
- }
+ parent_metadata: Final = MappingProxyType(
+ {
+ key: value
+ for field in ("metadata", "litellm_metadata")
+ if isinstance(metadata := parent.get(field), Mapping)
+ for key, value in TypeAdapter(Mapping[str, object]).validate_python(metadata).items()
+ }
+ )
params: Final = {
"metadata": {
**forwarded_internal_call_metadata(parent_metadata, AUTOROUTER_CLASSIFIER_CALL_ORIGIN),
@@ -158,7 +160,7 @@ class HttpJevClassifierClient:
start_time=start_time,
end_time=end_time,
cache_hit=False,
- request_body={"model": request.model},
+ request_body=MappingProxyType({"model": request.model}),
litellm_params=params,
)
GLOBAL_LOGGING_WORKER.ensure_initialized_and_enqueue(
From c958f9db7e0a024f7fbbb28168c47ac9e65c4853 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 18:44:51 +0000
Subject: [PATCH 067/246] test: extend cost tracking integration harness
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/_support/upstream.py | 20 +--
tests/integration/contracts.json | 9 ++
.../integration/cost_calculation/conftest.py | 34 ++++-
.../cost_calculation/cost_tracking_case.py | 74 +++++++++-
.../cost_calculation/cost_tracking_cases.json | 135 +++++++++++++++++-
.../cost_calculation/test_cost_tracking.py | 54 ++++++-
6 files changed, 304 insertions(+), 22 deletions(-)
diff --git a/tests/integration/_support/upstream.py b/tests/integration/_support/upstream.py
index 1ad02b6a3f2..3c4198c8133 100644
--- a/tests/integration/_support/upstream.py
+++ b/tests/integration/_support/upstream.py
@@ -1,25 +1,19 @@
from __future__ import annotations
import argparse
+import json
+import os
+import struct
+import zlib
from collections import deque
from collections.abc import Mapping
-import json
from dataclasses import dataclass, field
-import os
from pathlib import Path
from queue import SimpleQueue
-import struct
from typing import Final, cast
-import zlib
import httpx
import uvicorn
-from pydantic import BaseModel, JsonValue, TypeAdapter, ValidationError
-from starlette.applications import Starlette
-from starlette.requests import Request
-from starlette.responses import JSONResponse, Response
-from starlette.routing import Route
-
from _fake_openai_endpoint_server import chat_completions, completions, embeddings, health, moderations
from integration.cost_calculation.cost_tracking_case import (
EventStreamResponse,
@@ -27,6 +21,11 @@ from integration.cost_calculation.cost_tracking_case import (
SseResponse,
StoredResponse,
)
+from pydantic import BaseModel, JsonValue, TypeAdapter, ValidationError
+from starlette.applications import Starlette
+from starlette.requests import Request
+from starlette.responses import JSONResponse, Response
+from starlette.routing import Route
JSON_OBJECT: Final = TypeAdapter(dict[str, JsonValue])
CASES_FILE: Final = Path(__file__).resolve().parents[1] / "cost_calculation" / "cost_tracking_cases.json"
@@ -210,6 +209,7 @@ class Provider:
"$REQUEST_ID", scenario_id
).encode(),
media_type=response.content_type,
+ status_code=response.status,
)
case SseResponse():
stream_body: Final = ("\n\n".join(response.frames) + "\n\n").replace(
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index fe7b6dfe7ac..1b0c9e31d4e 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -382,6 +382,15 @@
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-gpt-5.6-stream_full_usage]": [
"quota_management.spend_tracking.scripted_wire.logs_cost"
],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_native_json]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-upstream_500_zero_spend]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-upstream_429_zero_spend]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-haiku-4-5-input_text]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
],
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index f1b8901d626..192f2bf5461 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -9,12 +9,11 @@ from typing import Final
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import rsa
-from pydantic import BaseModel, ConfigDict
-
from integration._support.client import JSON_OBJECT, Scenario, eventually, object_value, string_value
from integration._support.database import read_rows
from integration._support.upstream import delete_scenario, register_scenario
from integration.cost_calculation.cost_tracking_case import CostTrackingTestCase
+from pydantic import BaseModel, ConfigDict
class CostBreakdown(BaseModel):
@@ -50,6 +49,15 @@ class CostRow(BaseModel):
return self.metadata.cost_breakdown
+class FailureRow(BaseModel):
+ model_config = ConfigDict(extra="ignore")
+
+ spend: float
+ status: str
+ prompt_tokens: int | None = None
+ completion_tokens: int | None = None
+
+
def approx_equal(actual: float, expected: float) -> bool:
return abs(actual - expected) <= max(1e-9, abs(expected) * 1e-2)
@@ -92,6 +100,28 @@ def poll_cost_row(key: str) -> CostRow:
return result
+def poll_failure_row(key: str) -> FailureRow:
+ digest: Final = sha256(key.encode()).hexdigest()
+
+ def read() -> FailureRow | None:
+ rows: Final = read_rows(
+ 'SELECT spend, status, prompt_tokens, completion_tokens FROM "LiteLLM_SpendLogs" WHERE api_key=%s',
+ (digest,),
+ )
+ return next(
+ (
+ parsed
+ for row in rows
+ if (parsed := FailureRow.model_validate(row)).status == "failure"
+ ),
+ None,
+ )
+
+ result: Final = eventually(read, lambda row: row is not None, seconds=60)
+ assert result is not None
+ return result
+
+
@functools.cache
def _vertex_private_key_pem() -> str:
return rsa.generate_private_key(public_exponent=65537, key_size=2048).private_bytes(
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index 6af95f995ff..cb408f2c488 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -71,6 +71,7 @@ class JsonResponse(BaseModel):
content_type: Literal["application/json"]
body: dict[str, JsonValue]
+ status: int = 200
class SseResponse(BaseModel):
@@ -108,6 +109,10 @@ class ExactExpected(BaseModel):
output_cost: float
prompt_tokens: int
completion_tokens: int
+ cache_read_cost: float | None = None
+ cache_creation_cost: float | None = None
+ reasoning_cost: float | None = None
+ tool_usage_cost: float | None = None
class RecountRates(BaseModel):
@@ -123,7 +128,19 @@ class RecountExpected(BaseModel):
recount: RecountRates
-Expected: TypeAlias = ExactExpected | RecountExpected
+class FailureDetails(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ status: int
+
+
+class FailureExpected(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ failure: FailureDetails
+
+
+Expected: TypeAlias = ExactExpected | RecountExpected | FailureExpected
class CostTrackingTestCase(BaseModel):
@@ -132,6 +149,15 @@ class CostTrackingTestCase(BaseModel):
name: str
covers: str
model: str
+ endpoint: Literal[
+ "/v1/chat/completions",
+ "/v1/responses",
+ "/v1/messages",
+ "/v1/embeddings",
+ "/v1/rerank",
+ "/v1/completions",
+ "/v1/moderations",
+ ] = "/v1/chat/completions"
deployment: Deployment | None = None
request: dict[str, JsonValue]
response: StoredResponse
@@ -240,6 +266,44 @@ def data_errors() -> tuple[str, ...]:
or case.expected.recount.output_cost_per_token != (COST_MAP[case.model].output_cost_per_token or 0.0)
)
)
+ component_mismatches: Final = sorted(
+ case.name
+ for case in CASES
+ if isinstance(case.expected, ExactExpected)
+ and any(
+ component is not None
+ for component in (
+ case.expected.cache_read_cost,
+ case.expected.cache_creation_cost,
+ case.expected.reasoning_cost,
+ case.expected.tool_usage_cost,
+ )
+ )
+ and (
+ (case.expected.cache_read_cost or 0.0) + (case.expected.cache_creation_cost or 0.0)
+ > case.expected.input_cost
+ or (case.expected.reasoning_cost or 0.0) > case.expected.output_cost
+ or not _approx_equal(
+ case.expected.input_cost
+ + case.expected.output_cost
+ + (case.expected.tool_usage_cost or 0.0),
+ case.expected.spend,
+ )
+ )
+ )
+ failure_response_mismatches: Final = sorted(
+ case.name
+ for case in CASES
+ if (
+ isinstance(case.expected, FailureExpected)
+ and (not isinstance(case.response, JsonResponse) or case.response.status < 400)
+ )
+ or (
+ not isinstance(case.expected, FailureExpected)
+ and isinstance(case.response, JsonResponse)
+ and case.response.status != 200
+ )
+ )
return tuple(
message
for message in (
@@ -248,6 +312,14 @@ def data_errors() -> tuple[str, ...]:
f"duplicate case names: {duplicate_names}" if duplicate_names else None,
f"cost-map entries share input_cost_per_token: {shared_input_rates}" if shared_input_rates else None,
f"recount rates differ from cost-map rates: {recount_mismatches}" if recount_mismatches else None,
+ f"breakdown components are inconsistent: {component_mismatches}" if component_mismatches else None,
+ f"failure response statuses are inconsistent: {failure_response_mismatches}"
+ if failure_response_mismatches
+ else None,
)
if message is not None
)
+
+
+def _approx_equal(actual: float, expected: float) -> bool:
+ return abs(actual - expected) <= max(1e-9, abs(expected) * 1e-2)
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index 3627774816f..379250d3123 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -534,7 +534,8 @@
"input_cost": 0.00616704,
"output_cost": 0.00627,
"prompt_tokens": 12928,
- "completion_tokens": 380
+ "completion_tokens": 380,
+ "cache_read_cost": 0.00405504
}
},
{
@@ -605,7 +606,8 @@
"input_cost": 0.0397056,
"output_cost": 0.005775,
"prompt_tokens": 9728,
- "completion_tokens": 350
+ "completion_tokens": 350,
+ "cache_creation_cost": 0.038016
}
},
{
@@ -681,7 +683,8 @@
"input_cost": 0.0574464,
"output_cost": 0.005775,
"prompt_tokens": 9728,
- "completion_tokens": 350
+ "completion_tokens": 350,
+ "cache_creation_cost": 0.0557568
}
},
{
@@ -3417,7 +3420,8 @@
"input_cost": 0.002232,
"output_cost": 0.065484,
"prompt_tokens": 1240,
- "completion_tokens": 4040
+ "completion_tokens": 4040,
+ "reasoning_cost": 0.05742
}
},
{
@@ -3638,7 +3642,8 @@
"input_cost": 0.003312,
"output_cost": 0.0059328,
"prompt_tokens": 1840,
- "completion_tokens": 412
+ "completion_tokens": 412,
+ "tool_usage_cost": 0.0125
}
},
{
@@ -4494,7 +4499,8 @@
"input_cost": 0.0018688,
"output_cost": 0.0019,
"prompt_tokens": 12928,
- "completion_tokens": 380
+ "completion_tokens": 380,
+ "cache_read_cost": 0.0012288
}
},
{
@@ -16955,7 +16961,8 @@
"input_cost": 0.00276,
"output_cost": 0.004944,
"prompt_tokens": 1840,
- "completion_tokens": 412
+ "completion_tokens": 412,
+ "tool_usage_cost": 0.0025
}
},
{
@@ -21797,6 +21804,120 @@
"completion_tokens": 1592
}
},
+ {
+ "name": "gpt-5.6-responses_native_json",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "responses native fixture",
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "object": "response",
+ "status": "completed",
+ "model": "gpt-5.6",
+ "output": [
+ {
+ "type": "message",
+ "id": "msg_$REQUEST_ID",
+ "status": "completed",
+ "role": "assistant",
+ "content": [
+ {
+ "type": "output_text",
+ "text": "scripted response",
+ "annotations": []
+ }
+ ]
+ }
+ ],
+ "usage": {
+ "input_tokens": 11,
+ "output_tokens": 7,
+ "total_tokens": 18,
+ "input_tokens_details": {
+ "cached_tokens": 0
+ },
+ "output_tokens_details": {
+ "reasoning_tokens": 0
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.00011725,
+ "input_cost": 1.925e-05,
+ "output_cost": 9.8e-05,
+ "prompt_tokens": 11,
+ "completion_tokens": 7
+ }
+ },
+ {
+ "name": "gpt-5.6-upstream_500_zero_spend",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "scripted upstream failure 500"
+ }
+ ],
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "status": 500,
+ "body": {
+ "error": {
+ "message": "scripted upstream failure",
+ "type": "server_error",
+ "code": "500"
+ }
+ }
+ },
+ "expected": {
+ "failure": {
+ "status": 500
+ }
+ }
+ },
+ {
+ "name": "gpt-5.6-upstream_429_zero_spend",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "scripted upstream failure 429"
+ }
+ ],
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "status": 429,
+ "body": {
+ "error": {
+ "message": "scripted upstream failure",
+ "type": "rate_limit_error",
+ "code": "429"
+ }
+ }
+ },
+ "expected": {
+ "failure": {
+ "status": 429
+ }
+ }
+ },
{
"name": "meta.llama4-maverick-17b-instruct-v1:0-input_text",
"covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index a8a56fbfbbd..c9dc7a5ffe3 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -6,18 +6,19 @@ from hashlib import sha256
from typing import Final, cast
import pytest
-
from integration._support.client import JSON_OBJECT, Gateway
from integration.cost_calculation.conftest import (
approx_equal,
assert_total_is_sum_of_components,
poll_cost_row,
+ poll_failure_row,
register_scenario_deployment,
)
from integration.cost_calculation.cost_tracking_case import (
CASES,
CostTrackingTestCase,
ExactExpected,
+ FailureExpected,
RecountExpected,
data_errors,
)
@@ -51,10 +52,22 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
model_name: Final = register_scenario_deployment(scenario, case, marker, key)
response: Final = gateway.request(
"POST",
- "/v1/chat/completions",
+ case.endpoint,
{**case.request, "model": model_name},
key=key,
)
+ if isinstance(case.expected, FailureExpected):
+ assert response.status_code == case.expected.failure.status, (
+ f"{case.name}: proxy returned {response.status_code}, expected {case.expected.failure.status}: "
+ f"{response.text[:400]}"
+ )
+ response_cost: Final = response.headers.get("x-litellm-response-cost")
+ assert response_cost is None or approx_equal(float(response_cost), 0.0), (
+ f"{case.name}: failure response cost was {response_cost}"
+ )
+ row: Final = poll_failure_row(key)
+ assert row.spend == 0, f"{case.name}: failure spend was {row.spend}"
+ return
assert response.is_success, f"{case.name}: proxy returned {response.status_code}: {response.text[:400]}"
if case.response.content_type == "text/event-stream":
_assert_stream_has_no_error(response.text)
@@ -92,6 +105,43 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert breakdown.output_cost is not None and approx_equal(breakdown.output_cost, expected.output_cost), (
f"{case.name}: output_cost {breakdown.output_cost} != expected {expected.output_cost}"
)
+ for field, header_name, expected_component in (
+ ("cache_read_cost", "x-litellm-response-cost-cache-read", expected.cache_read_cost),
+ ("cache_creation_cost", "x-litellm-response-cost-cache-creation", expected.cache_creation_cost),
+ ("reasoning_cost", "x-litellm-response-cost-reasoning", expected.reasoning_cost),
+ ("tool_usage_cost", "x-litellm-response-cost-tool-usage", expected.tool_usage_cost),
+ ):
+ if expected_component is None:
+ continue
+ actual_component: Final = getattr(breakdown, field)
+ assert actual_component is not None and approx_equal(actual_component, expected_component), (
+ f"{case.name}: {field} {actual_component} != expected {expected_component}"
+ )
+ if case.response.content_type == "application/json":
+ header: Final = response.headers.get(header_name)
+ assert header is not None and approx_equal(float(header), expected_component), (
+ f"{case.name}: {header_name} {header} != expected {expected_component}"
+ )
+ if case.response.content_type == "application/json" and any(
+ component is not None
+ for component in (
+ expected.cache_read_cost,
+ expected.cache_creation_cost,
+ expected.reasoning_cost,
+ expected.tool_usage_cost,
+ )
+ ):
+ input_header: Final = response.headers.get("x-litellm-response-cost-input")
+ output_header: Final = response.headers.get("x-litellm-response-cost-output")
+ expected_input_header: Final = expected.input_cost - (
+ expected.cache_read_cost or 0.0
+ ) - (expected.cache_creation_cost or 0.0)
+ assert input_header is not None and approx_equal(float(input_header), expected_input_header), (
+ f"{case.name}: x-litellm-response-cost-input {input_header} != expected {expected_input_header}"
+ )
+ assert output_header is not None and approx_equal(float(output_header), expected.output_cost), (
+ f"{case.name}: x-litellm-response-cost-output {output_header} != expected {expected.output_cost}"
+ )
assert row.prompt_tokens == expected.prompt_tokens, (
f"{case.name}: prompt_tokens {row.prompt_tokens} != expected {expected.prompt_tokens}"
)
From e42f3f1562c9b5a07ef69a1468269399beb4bc24 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 19:10:04 +0000
Subject: [PATCH 068/246] test: fix cost harness review issues
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/_support/upstream.py | 19 +++++------
.../integration/cost_calculation/conftest.py | 3 +-
.../cost_calculation/cost_tracking_cases.json | 2 ++
.../cost_calculation/test_cost_tracking.py | 32 +++++++++++++++----
4 files changed, 40 insertions(+), 16 deletions(-)
diff --git a/tests/integration/_support/upstream.py b/tests/integration/_support/upstream.py
index 3c4198c8133..a289589b2dc 100644
--- a/tests/integration/_support/upstream.py
+++ b/tests/integration/_support/upstream.py
@@ -1,19 +1,25 @@
from __future__ import annotations
import argparse
-import json
-import os
-import struct
-import zlib
from collections import deque
from collections.abc import Mapping
+import json
from dataclasses import dataclass, field
+import os
from pathlib import Path
from queue import SimpleQueue
+import struct
from typing import Final, cast
+import zlib
import httpx
import uvicorn
+from pydantic import BaseModel, JsonValue, TypeAdapter, ValidationError
+from starlette.applications import Starlette
+from starlette.requests import Request
+from starlette.responses import JSONResponse, Response
+from starlette.routing import Route
+
from _fake_openai_endpoint_server import chat_completions, completions, embeddings, health, moderations
from integration.cost_calculation.cost_tracking_case import (
EventStreamResponse,
@@ -21,11 +27,6 @@ from integration.cost_calculation.cost_tracking_case import (
SseResponse,
StoredResponse,
)
-from pydantic import BaseModel, JsonValue, TypeAdapter, ValidationError
-from starlette.applications import Starlette
-from starlette.requests import Request
-from starlette.responses import JSONResponse, Response
-from starlette.routing import Route
JSON_OBJECT: Final = TypeAdapter(dict[str, JsonValue])
CASES_FILE: Final = Path(__file__).resolve().parents[1] / "cost_calculation" / "cost_tracking_cases.json"
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index 192f2bf5461..166488e36a5 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -9,11 +9,12 @@ from typing import Final
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import rsa
+from pydantic import BaseModel, ConfigDict
+
from integration._support.client import JSON_OBJECT, Scenario, eventually, object_value, string_value
from integration._support.database import read_rows
from integration._support.upstream import delete_scenario, register_scenario
from integration.cost_calculation.cost_tracking_case import CostTrackingTestCase
-from pydantic import BaseModel, ConfigDict
class CostBreakdown(BaseModel):
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index 379250d3123..428124ac4a9 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -21817,8 +21817,10 @@
"response": {
"content_type": "application/json",
"body": {
+ "id": "resp_$REQUEST_ID",
"object": "response",
"status": "completed",
+ "created_at": 1700000000,
"model": "gpt-5.6",
"output": [
{
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index c9dc7a5ffe3..5b876974c63 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -6,6 +6,7 @@ from hashlib import sha256
from typing import Final, cast
import pytest
+
from integration._support.client import JSON_OBJECT, Gateway
from integration.cost_calculation.conftest import (
approx_equal,
@@ -105,15 +106,34 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert breakdown.output_cost is not None and approx_equal(breakdown.output_cost, expected.output_cost), (
f"{case.name}: output_cost {breakdown.output_cost} != expected {expected.output_cost}"
)
- for field, header_name, expected_component in (
- ("cache_read_cost", "x-litellm-response-cost-cache-read", expected.cache_read_cost),
- ("cache_creation_cost", "x-litellm-response-cost-cache-creation", expected.cache_creation_cost),
- ("reasoning_cost", "x-litellm-response-cost-reasoning", expected.reasoning_cost),
- ("tool_usage_cost", "x-litellm-response-cost-tool-usage", expected.tool_usage_cost),
+ for field, header_name, actual_component, expected_component in (
+ (
+ "cache_read_cost",
+ "x-litellm-response-cost-cache-read",
+ breakdown.cache_read_cost,
+ expected.cache_read_cost,
+ ),
+ (
+ "cache_creation_cost",
+ "x-litellm-response-cost-cache-creation",
+ breakdown.cache_creation_cost,
+ expected.cache_creation_cost,
+ ),
+ (
+ "reasoning_cost",
+ "x-litellm-response-cost-reasoning",
+ breakdown.reasoning_cost,
+ expected.reasoning_cost,
+ ),
+ (
+ "tool_usage_cost",
+ "x-litellm-response-cost-tool-usage",
+ breakdown.tool_usage_cost,
+ expected.tool_usage_cost,
+ ),
):
if expected_component is None:
continue
- actual_component: Final = getattr(breakdown, field)
assert actual_component is not None and approx_equal(actual_component, expected_component), (
f"{case.name}: {field} {actual_component} != expected {expected_component}"
)
From dccb1b56b47c62fdca4865c967d7901a0cd2a461 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 19:17:46 +0000
Subject: [PATCH 069/246] test(integration): reject out-of-range failure
statuses at import
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/cost_calculation/cost_tracking_case.py | 6 +++++-
1 file changed, 5 insertions(+), 1 deletion(-)
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index cb408f2c488..9737508e27c 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -296,7 +296,11 @@ def data_errors() -> tuple[str, ...]:
for case in CASES
if (
isinstance(case.expected, FailureExpected)
- and (not isinstance(case.response, JsonResponse) or case.response.status < 400)
+ and (
+ not isinstance(case.response, JsonResponse)
+ or not 400 <= case.response.status <= 599
+ or not 400 <= case.expected.failure.status <= 599
+ )
)
or (
not isinstance(case.expected, FailureExpected)
From 9bd648baf590ccf5ad3f81ccc44e29a57c3bc7b9 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 19:22:25 +0000
Subject: [PATCH 070/246] test(integration): price fireworks cached input at
the 50% default
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/contracts.json | 2 +-
.../integration/cost_calculation/cost_tracking_cases.json | 7 ++++---
2 files changed, 5 insertions(+), 4 deletions(-)
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index 1b0c9e31d4e..338ace07908 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -559,7 +559,7 @@
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[fireworks_ai-accounts-fireworks-models-deepseek-v4p1-flash-input_text]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[fireworks_ai-accounts-fireworks-models-deepseek-v4p1-flash-fallback_cache_read_at_input_rate]": [
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[fireworks_ai-accounts-fireworks-models-deepseek-v4p1-flash-fallback_cache_read_at_half_input_rate]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[fireworks_ai-accounts-fireworks-models-deepseek-v4p1-flash-stream]": [
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index 428124ac4a9..b0ad270f860 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -7958,7 +7958,7 @@
}
},
{
- "name": "fireworks_ai-accounts-fireworks-models-deepseek-v4p1-flash-fallback_cache_read_at_input_rate",
+ "name": "fireworks_ai-accounts-fireworks-models-deepseek-v4p1-flash-fallback_cache_read_at_half_input_rate",
"covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
"model": "fireworks_ai/accounts/fireworks/models/deepseek-v4p1-flash",
"request": {
@@ -8014,9 +8014,10 @@
}
},
"expected": {
- "spend": 0.0021672,
- "input_cost": 0.0019392,
+ "spend": 0.0012456,
+ "input_cost": 0.0010176,
"output_cost": 0.000228,
+ "cache_read_cost": 0.0009216,
"prompt_tokens": 12928,
"completion_tokens": 380
}
From afde938a673b45d532b3dab4d00b1e3f999e8db0 Mon Sep 17 00:00:00 2001
From: Moe Khalil
Date: Sat, 19 Sep 2026 19:46:46 +0000
Subject: [PATCH 071/246] docs(auto-router): disclose shared JEV context
defaults
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../router_strategy/complexity_router/config.py | 17 ++++++++---------
.../add_model/ClassificationMethodConfig.tsx | 6 +++---
ui/litellm-dashboard/src/lib/http/schema.d.ts | 8 ++++----
3 files changed, 15 insertions(+), 16 deletions(-)
diff --git a/litellm/router_strategy/complexity_router/config.py b/litellm/router_strategy/complexity_router/config.py
index ca50e21c082..a2dc551578c 100644
--- a/litellm/router_strategy/complexity_router/config.py
+++ b/litellm/router_strategy/complexity_router/config.py
@@ -1119,23 +1119,22 @@ class ComplexityRouterConfig(BaseModel):
ge=0,
description=(
"Number of prior user turns (tool output and harness reminders excluded) to include as context "
- "in the LLM classifier prompt, so a follow-up like 'now do the same for the streaming path' is "
+ "in the LLM or JEV classifier input, so a follow-up like 'now do the same for the streaming path' is "
"classified against what it refers to. Counts turns of both roles when "
"classifier_context_include_assistant_turns is enabled. These turns are sent to the classifier "
- "model, which may "
+ "model (the configured TypeSafe endpoint for JEV), which may "
"be a different deployment or provider than the routed completion model; that call carries "
"the current user ask and, except for Claude Code requests, the extracted system-role text in full. "
"Claude Code system text is omitted to avoid classifying harness instructions; the routed "
- "completion still receives it. Set to 0 to send neither prior turns nor "
- "any conversation context beyond the current ask. Only applies when "
- "classifier_type is 'llm'."
+ "completion still receives it. Set to 0 to omit prior turns and the conversation-depth summary; "
+ "the current ask and selected system text are still sent. Applies to LLM and JEV classification."
),
)
classifier_context_budget_chars: int = Field(
default=DEFAULT_CLASSIFIER_CONTEXT_BUDGET_CHARS,
ge=0,
description=(
- "Maximum characters of prior-turn text quoted to the LLM classifier, across the whole "
+ "Maximum characters of prior-turn text quoted to the LLM or JEV classifier, across the whole "
"context window, per classification call. Turns are taken newest first and quoted whole "
"while they fit, so a conversation small enough to quote entirely is never cut; once the "
"budget runs out the older turns are dropped whole and only the turn straddling the "
@@ -1143,7 +1142,7 @@ class ComplexityRouterConfig(BaseModel):
"Code requests, the extracted system-role text sit outside this budget and are sent in full, as does "
"the numbering each quoted turn carries. A budget under 120 leaves no room to quote a turn and "
"suppresses the block; set classifier_context_window_size to 0 to turn context off "
- "deliberately. Only applies when classifier_type is 'llm'."
+ "deliberately. Applies to LLM and JEV classification."
),
)
classifier_context_per_turn_chars: int | None = Field(
@@ -1154,7 +1153,7 @@ class ComplexityRouterConfig(BaseModel):
"classifier_context_budget_chars bounds the block. Unset by default, so one long turn may "
"spend the whole budget, which is usually what a follow-up needs; set it when no single "
"turn should dominate the context the classifier sees. A capped turn keeps its opening "
- "and its ending with the middle elided. Only applies when classifier_type is 'llm'."
+ "and its ending with the middle elided. Applies to LLM and JEV classification."
),
)
classifier_context_include_assistant_turns: bool = Field(
@@ -1169,7 +1168,7 @@ class ComplexityRouterConfig(BaseModel):
"routed completion model. Assistant replies spend classifier_context_budget_chars "
"alongside user turns, so raise it if the oldest turns stop being quoted once replies "
"join the window. Off by default because enabling it shifts tier decisions, and therefore "
- "spend, for an already-deployed router. Only applies when classifier_type is 'llm'."
+ "spend, for an already-deployed router. Applies to LLM and JEV classification."
),
)
diff --git a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
index 322515e0ac5..3b3343154a3 100644
--- a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
@@ -666,9 +666,9 @@ const ClassificationMethodConfig: React.FC = ({
className="w-full"
/>
- Number of prior user turns (tool output and harness reminders excluded) sent to the classifier as context,
- so a referring follow-up like "now do the same for the streaming path" is classified against
- what it refers to. Set to 0 to send only the current message.
+ Number of prior user turns sent to the classifier provider, excluding tool output and harness reminders.
+ LLM and JEV default to 3 turns; JEV sends them to the configured TypeSafe endpoint. Set to 0 to omit
+ conversation history. The current message and selected system text are still sent.
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index d43adfe1ae4..69bb860b076 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -36407,24 +36407,24 @@ export interface components {
classification_prompt?: string | null;
/**
* Classifier Context Budget Chars
- * @description Maximum characters of prior-turn text quoted to the LLM classifier, across the whole context window, per classification call. Turns are taken newest first and quoted whole while they fit, so a conversation small enough to quote entirely is never cut; once the budget runs out the older turns are dropped whole and only the turn straddling the boundary is truncated, into whatever space is left. The current ask and, except for Claude Code requests, the extracted system-role text sit outside this budget and are sent in full, as does the numbering each quoted turn carries. A budget under 120 leaves no room to quote a turn and suppresses the block; set classifier_context_window_size to 0 to turn context off deliberately. Only applies when classifier_type is 'llm'.
+ * @description Maximum characters of prior-turn text quoted to the LLM or JEV classifier, across the whole context window, per classification call. Turns are taken newest first and quoted whole while they fit, so a conversation small enough to quote entirely is never cut; once the budget runs out the older turns are dropped whole and only the turn straddling the boundary is truncated, into whatever space is left. The current ask and, except for Claude Code requests, the extracted system-role text sit outside this budget and are sent in full, as does the numbering each quoted turn carries. A budget under 120 leaves no room to quote a turn and suppresses the block; set classifier_context_window_size to 0 to turn context off deliberately. Applies to LLM and JEV classification.
* @default 8000
*/
classifier_context_budget_chars: number;
/**
* Classifier Context Include Assistant Turns
- * @description Include assistant turns in the classifier context window, so difficulty stated by the model rather than by the user stays visible: a plan the assistant calls complex, which the user approves with 'yes', is classified on the work being approved instead of on the word 'yes'. When enabled, classifier_context_window_size counts the last N turns of the conversation across both roles rather than the last N user turns, and assistant text is sent to the classifier model, which may be a different deployment or provider than the routed completion model. Assistant replies spend classifier_context_budget_chars alongside user turns, so raise it if the oldest turns stop being quoted once replies join the window. Off by default because enabling it shifts tier decisions, and therefore spend, for an already-deployed router. Only applies when classifier_type is 'llm'.
+ * @description Include assistant turns in the classifier context window, so difficulty stated by the model rather than by the user stays visible: a plan the assistant calls complex, which the user approves with 'yes', is classified on the work being approved instead of on the word 'yes'. When enabled, classifier_context_window_size counts the last N turns of the conversation across both roles rather than the last N user turns, and assistant text is sent to the classifier model, which may be a different deployment or provider than the routed completion model. Assistant replies spend classifier_context_budget_chars alongside user turns, so raise it if the oldest turns stop being quoted once replies join the window. Off by default because enabling it shifts tier decisions, and therefore spend, for an already-deployed router. Applies to LLM and JEV classification.
* @default false
*/
classifier_context_include_assistant_turns: boolean;
/**
* Classifier Context Per Turn Chars
- * @description Optional cap on each individual prior turn's text, applied before classifier_context_budget_chars bounds the block. Unset by default, so one long turn may spend the whole budget, which is usually what a follow-up needs; set it when no single turn should dominate the context the classifier sees. A capped turn keeps its opening and its ending with the middle elided. Only applies when classifier_type is 'llm'.
+ * @description Optional cap on each individual prior turn's text, applied before classifier_context_budget_chars bounds the block. Unset by default, so one long turn may spend the whole budget, which is usually what a follow-up needs; set it when no single turn should dominate the context the classifier sees. A capped turn keeps its opening and its ending with the middle elided. Applies to LLM and JEV classification.
*/
classifier_context_per_turn_chars?: number | null;
/**
* Classifier Context Window Size
- * @description Number of prior user turns (tool output and harness reminders excluded) to include as context in the LLM classifier prompt, so a follow-up like 'now do the same for the streaming path' is classified against what it refers to. Counts turns of both roles when classifier_context_include_assistant_turns is enabled. These turns are sent to the classifier model, which may be a different deployment or provider than the routed completion model; that call carries the current user ask and, except for Claude Code requests, the extracted system-role text in full. Claude Code system text is omitted to avoid classifying harness instructions; the routed completion still receives it. Set to 0 to send neither prior turns nor any conversation context beyond the current ask. Only applies when classifier_type is 'llm'.
+ * @description Number of prior user turns (tool output and harness reminders excluded) to include as context in the LLM or JEV classifier input, so a follow-up like 'now do the same for the streaming path' is classified against what it refers to. Counts turns of both roles when classifier_context_include_assistant_turns is enabled. These turns are sent to the classifier model (the configured TypeSafe endpoint for JEV), which may be a different deployment or provider than the routed completion model; that call carries the current user ask and, except for Claude Code requests, the extracted system-role text in full. Claude Code system text is omitted to avoid classifying harness instructions; the routed completion still receives it. Set to 0 to omit prior turns and the conversation-depth summary; the current ask and selected system text are still sent. Applies to LLM and JEV classification.
* @default 3
*/
classifier_context_window_size: number;
From 8907a1d1fccd718d99a5b08f5e9b4750d9536f88 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 19:52:43 +0000
Subject: [PATCH 072/246] test: add native responses and messages cost cases
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/contracts.json | 63 +
.../cost_calculation/cost_tracking_case.py | 2 +-
.../cost_calculation/cost_tracking_cases.json | 1079 +++++++++++++++++
.../cost_calculation/test_cost_tracking.py | 4 +-
4 files changed, 1146 insertions(+), 2 deletions(-)
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index 1b0c9e31d4e..04af53a6080 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -1320,6 +1320,69 @@
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[us.anthropic.claude-opus-5-v1:0-stream_full_usage]": [
"quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_cache_read]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_reasoning]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_stream]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_stream_cache_read]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_incomplete]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_previous_response_id]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_web_search_medium]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.3-codex-responses_file_search]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_service_tier_flex]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_service_tier_priority]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-messages_input_text]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-messages_cache_read]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-messages_cache_write_5m]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-messages_cache_write_1h]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-messages_web_search]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-messages_stream]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-messages_stream_cache_read]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-messages_tiered_input_above_200k]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-haiku-4-5-messages_input_text]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[us.anthropic.claude-opus-5-v1:0-messages_input_text]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[anthropic.claude-sonnet-5-v1:0-messages_cache_read]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
]
},
"browser": {
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index cb408f2c488..830c2999fbf 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -172,7 +172,7 @@ class CostTrackingTestCase(BaseModel):
provider: Final = self.rates.litellm_provider
prefix: Final = (
"openai"
- if provider == "openai" and self.rates.mode == "chat"
+ if provider == "openai" and (self.rates.mode == "chat" or self.endpoint == "/v1/responses")
else "openai/responses"
if provider == "openai"
else _PROVIDER_PREFIXES.get(provider)
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index 428124ac4a9..cea9c22577b 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -25776,6 +25776,1085 @@
"prompt_tokens": 11056,
"completion_tokens": 412
}
+ },
+ {
+ "name": "gpt-5.6-responses_cache_read",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "summarize this text"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "resp_$REQUEST_ID",
+ "object": "response",
+ "created_at": 1700000000,
+ "status": "completed",
+ "model": "gpt-5.6",
+ "output": [
+ {
+ "type": "message",
+ "id": "msg_$REQUEST_ID",
+ "status": "completed",
+ "role": "assistant",
+ "content": [
+ {
+ "type": "output_text",
+ "text": "scripted response",
+ "annotations": []
+ }
+ ]
+ }
+ ],
+ "usage": {
+ "input_tokens": 12928,
+ "output_tokens": 380,
+ "total_tokens": 13308,
+ "input_tokens_details": {
+ "cached_tokens": 12288
+ },
+ "output_tokens_details": {
+ "reasoning_tokens": 0
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0085904,
+ "input_cost": 0.0032704,
+ "output_cost": 0.00532,
+ "prompt_tokens": 12928,
+ "completion_tokens": 380,
+ "cache_read_cost": 0.0021504
+ }
+ },
+ {
+ "name": "gpt-5.6-responses_reasoning",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "reason about this text"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "resp_$REQUEST_ID",
+ "object": "response",
+ "created_at": 1700000000,
+ "status": "completed",
+ "model": "gpt-5.6",
+ "output": [
+ {
+ "type": "reasoning",
+ "id": "rs_$REQUEST_ID",
+ "status": "completed",
+ "summary": []
+ },
+ {
+ "type": "message",
+ "id": "msg_$REQUEST_ID",
+ "status": "completed",
+ "role": "assistant",
+ "content": [
+ {
+ "type": "output_text",
+ "text": "scripted response",
+ "annotations": []
+ }
+ ]
+ }
+ ],
+ "usage": {
+ "input_tokens": 1240,
+ "output_tokens": 4040,
+ "total_tokens": 5280,
+ "input_tokens_details": {
+ "cached_tokens": 0
+ },
+ "output_tokens_details": {
+ "reasoning_tokens": 3480
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.067716,
+ "input_cost": 0.00217,
+ "output_cost": 0.065484,
+ "prompt_tokens": 1240,
+ "completion_tokens": 4040,
+ "reasoning_cost": 0.05742
+ }
+ },
+ {
+ "name": "gpt-5.6-responses_stream",
+ "covers": "quota_management.spend_tracking.scripted_wire.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "stream this text",
+ "stream": true
+ },
+ "response": {
+ "content_type": "text/event-stream",
+ "frames": [
+ "event: response.created\ndata: {\"type\":\"response.created\",\"response\":{\"id\":\"resp_$REQUEST_ID\",\"object\":\"response\",\"created_at\":1700000000,\"status\":\"in_progress\",\"model\":\"gpt-5.6\",\"output\":[{\"type\":\"message\",\"id\":\"msg_$REQUEST_ID\",\"status\":\"completed\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"scripted response\",\"annotations\":[]}]}],\"usage\":null}}",
+ "event: response.output_item.added\ndata: {\"type\":\"response.output_item.added\",\"output_index\":0,\"item\":{\"type\":\"message\",\"id\":\"msg_$REQUEST_ID\",\"status\":\"in_progress\",\"role\":\"assistant\",\"content\":[]}}",
+ "event: response.content_part.added\ndata: {\"type\":\"response.content_part.added\",\"item_id\":\"msg_$REQUEST_ID\",\"output_index\":0,\"content_index\":0,\"part\":{\"type\":\"content_part\",\"text\":\"\"}}",
+ "event: response.output_text.delta\ndata: {\"type\":\"response.output_text.delta\",\"item_id\":\"msg_$REQUEST_ID\",\"output_index\":0,\"content_index\":0,\"delta\":\"scripted \"}",
+ "event: response.output_text.delta\ndata: {\"type\":\"response.output_text.delta\",\"item_id\":\"msg_$REQUEST_ID\",\"output_index\":0,\"content_index\":0,\"delta\":\"response\"}",
+ "event: response.output_text.done\ndata: {\"type\":\"response.output_text.done\",\"item_id\":\"msg_$REQUEST_ID\",\"output_index\":0,\"content_index\":0,\"text\":\"scripted response\"}",
+ "event: response.content_part.done\ndata: {\"type\":\"response.content_part.done\",\"item_id\":\"msg_$REQUEST_ID\",\"output_index\":0,\"content_index\":0,\"part\":{\"type\":\"output_text\",\"text\":\"scripted response\",\"annotations\":[]}}",
+ "event: response.output_item.done\ndata: {\"type\":\"response.output_item.done\",\"output_index\":0,\"item\":{\"type\":\"message\",\"id\":\"msg_$REQUEST_ID\",\"status\":\"completed\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"scripted response\",\"annotations\":[]}]}}",
+ "event: response.completed\ndata: {\"type\":\"response.completed\",\"response\":{\"id\":\"resp_$REQUEST_ID\",\"object\":\"response\",\"created_at\":1700000000,\"status\":\"completed\",\"model\":\"gpt-5.6\",\"output\":[{\"type\":\"message\",\"id\":\"msg_$REQUEST_ID\",\"status\":\"completed\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"scripted response\",\"annotations\":[]}]}],\"usage\":{\"input_tokens\":1840,\"output_tokens\":412,\"total_tokens\":2252,\"input_tokens_details\":{\"cached_tokens\":0},\"output_tokens_details\":{\"reasoning_tokens\":0}}}}"
+ ]
+ },
+ "expected": {
+ "spend": 0.008988,
+ "input_cost": 0.00322,
+ "output_cost": 0.005768,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "gpt-5.6-responses_stream_cache_read",
+ "covers": "quota_management.spend_tracking.scripted_wire.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "stream cached text",
+ "stream": true
+ },
+ "response": {
+ "content_type": "text/event-stream",
+ "frames": [
+ "event: response.created\ndata: {\"type\":\"response.created\",\"response\":{\"id\":\"resp_$REQUEST_ID\",\"object\":\"response\",\"created_at\":1700000000,\"status\":\"in_progress\",\"model\":\"gpt-5.6\",\"output\":[{\"type\":\"message\",\"id\":\"msg_$REQUEST_ID\",\"status\":\"completed\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"scripted response\",\"annotations\":[]}]}],\"usage\":null}}",
+ "event: response.output_item.added\ndata: {\"type\":\"response.output_item.added\",\"output_index\":0,\"item\":{\"type\":\"message\",\"id\":\"msg_$REQUEST_ID\",\"status\":\"in_progress\",\"role\":\"assistant\",\"content\":[]}}",
+ "event: response.content_part.added\ndata: {\"type\":\"response.content_part.added\",\"item_id\":\"msg_$REQUEST_ID\",\"output_index\":0,\"content_index\":0,\"part\":{\"type\":\"content_part\",\"text\":\"\"}}",
+ "event: response.output_text.delta\ndata: {\"type\":\"response.output_text.delta\",\"item_id\":\"msg_$REQUEST_ID\",\"output_index\":0,\"content_index\":0,\"delta\":\"scripted \"}",
+ "event: response.output_text.delta\ndata: {\"type\":\"response.output_text.delta\",\"item_id\":\"msg_$REQUEST_ID\",\"output_index\":0,\"content_index\":0,\"delta\":\"response\"}",
+ "event: response.output_text.done\ndata: {\"type\":\"response.output_text.done\",\"item_id\":\"msg_$REQUEST_ID\",\"output_index\":0,\"content_index\":0,\"text\":\"scripted response\"}",
+ "event: response.content_part.done\ndata: {\"type\":\"response.content_part.done\",\"item_id\":\"msg_$REQUEST_ID\",\"output_index\":0,\"content_index\":0,\"part\":{\"type\":\"output_text\",\"text\":\"scripted response\",\"annotations\":[]}}",
+ "event: response.output_item.done\ndata: {\"type\":\"response.output_item.done\",\"output_index\":0,\"item\":{\"type\":\"message\",\"id\":\"msg_$REQUEST_ID\",\"status\":\"completed\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"scripted response\",\"annotations\":[]}]}}",
+ "event: response.completed\ndata: {\"type\":\"response.completed\",\"response\":{\"id\":\"resp_$REQUEST_ID\",\"object\":\"response\",\"created_at\":1700000000,\"status\":\"completed\",\"model\":\"gpt-5.6\",\"output\":[{\"type\":\"message\",\"id\":\"msg_$REQUEST_ID\",\"status\":\"completed\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"scripted response\",\"annotations\":[]}]}],\"usage\":{\"input_tokens\":12928,\"output_tokens\":380,\"total_tokens\":13308,\"input_tokens_details\":{\"cached_tokens\":12288},\"output_tokens_details\":{\"reasoning_tokens\":0}}}}"
+ ]
+ },
+ "expected": {
+ "spend": 0.0085904,
+ "input_cost": 0.0032704,
+ "output_cost": 0.00532,
+ "prompt_tokens": 12928,
+ "completion_tokens": 380,
+ "cache_read_cost": 0.0021504
+ }
+ },
+ {
+ "name": "gpt-5.6-responses_incomplete",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "truncate this text",
+ "max_output_tokens": 100
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "resp_$REQUEST_ID",
+ "object": "response",
+ "created_at": 1700000000,
+ "status": "incomplete",
+ "model": "gpt-5.6",
+ "output": [
+ {
+ "type": "message",
+ "id": "msg_$REQUEST_ID",
+ "status": "completed",
+ "role": "assistant",
+ "content": [
+ {
+ "type": "output_text",
+ "text": "scripted response",
+ "annotations": []
+ }
+ ]
+ }
+ ],
+ "usage": {
+ "input_tokens": 1840,
+ "output_tokens": 100,
+ "total_tokens": 1940,
+ "input_tokens_details": {
+ "cached_tokens": 0
+ },
+ "output_tokens_details": {
+ "reasoning_tokens": 0
+ }
+ },
+ "incomplete_details": {
+ "reason": "max_output_tokens"
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.00462,
+ "input_cost": 0.00322,
+ "output_cost": 0.0014,
+ "prompt_tokens": 1840,
+ "completion_tokens": 100
+ }
+ },
+ {
+ "name": "gpt-5.6-responses_previous_response_id",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "continue this text",
+ "previous_response_id": "resp_scripted_prior"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "resp_$REQUEST_ID",
+ "object": "response",
+ "created_at": 1700000000,
+ "status": "completed",
+ "model": "gpt-5.6",
+ "output": [
+ {
+ "type": "message",
+ "id": "msg_$REQUEST_ID",
+ "status": "completed",
+ "role": "assistant",
+ "content": [
+ {
+ "type": "output_text",
+ "text": "scripted response",
+ "annotations": []
+ }
+ ]
+ }
+ ],
+ "usage": {
+ "input_tokens": 1840,
+ "output_tokens": 412,
+ "total_tokens": 2252,
+ "input_tokens_details": {
+ "cached_tokens": 0
+ },
+ "output_tokens_details": {
+ "reasoning_tokens": 0
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.008988,
+ "input_cost": 0.00322,
+ "output_cost": 0.005768,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "gpt-5.6-responses_web_search_medium",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "search this text",
+ "tools": [
+ {
+ "type": "web_search_preview",
+ "search_context_size": "medium"
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "resp_$REQUEST_ID",
+ "object": "response",
+ "created_at": 1700000000,
+ "status": "completed",
+ "model": "gpt-5.6",
+ "output": [
+ {
+ "type": "web_search_call",
+ "id": "ws_$REQUEST_ID",
+ "status": "completed",
+ "action": {
+ "type": "search",
+ "query": "scripted query"
+ }
+ },
+ {
+ "type": "message",
+ "id": "msg_$REQUEST_ID",
+ "status": "completed",
+ "role": "assistant",
+ "content": [
+ {
+ "type": "output_text",
+ "text": "scripted response",
+ "annotations": []
+ }
+ ]
+ }
+ ],
+ "usage": {
+ "input_tokens": 1840,
+ "output_tokens": 412,
+ "total_tokens": 2252,
+ "input_tokens_details": {
+ "cached_tokens": 0
+ },
+ "output_tokens_details": {
+ "reasoning_tokens": 0
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.021488,
+ "input_cost": 0.00322,
+ "output_cost": 0.005768,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "tool_usage_cost": 0.0125
+ }
+ },
+ {
+ "name": "gpt-5.3-codex-responses_file_search",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.3-codex",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "search files",
+ "tools": [
+ {
+ "type": "file_search",
+ "vector_store_ids": [
+ "vs_scripted"
+ ]
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "resp_$REQUEST_ID",
+ "object": "response",
+ "created_at": 1700000000,
+ "status": "completed",
+ "model": "gpt-5.3-codex",
+ "output": [
+ {
+ "type": "file_search_call",
+ "id": "fs_$REQUEST_ID",
+ "status": "completed",
+ "queries": [
+ "scripted query"
+ ],
+ "results": []
+ },
+ {
+ "type": "message",
+ "id": "msg_$REQUEST_ID",
+ "status": "completed",
+ "role": "assistant",
+ "content": [
+ {
+ "type": "output_text",
+ "text": "scripted response",
+ "annotations": []
+ }
+ ]
+ }
+ ],
+ "usage": {
+ "input_tokens": 1840,
+ "output_tokens": 412,
+ "total_tokens": 2252,
+ "input_tokens_details": {
+ "cached_tokens": 0
+ },
+ "output_tokens_details": {
+ "reasoning_tokens": 0
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.010204,
+ "input_cost": 0.00276,
+ "output_cost": 0.004944,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "tool_usage_cost": 0.0025
+ }
+ },
+ {
+ "name": "gpt-5.6-responses_service_tier_flex",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "flex text",
+ "service_tier": "flex"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "resp_$REQUEST_ID",
+ "object": "response",
+ "created_at": 1700000000,
+ "status": "completed",
+ "model": "gpt-5.6",
+ "output": [
+ {
+ "type": "message",
+ "id": "msg_$REQUEST_ID",
+ "status": "completed",
+ "role": "assistant",
+ "content": [
+ {
+ "type": "output_text",
+ "text": "scripted response",
+ "annotations": []
+ }
+ ]
+ }
+ ],
+ "usage": {
+ "input_tokens": 1840,
+ "output_tokens": 412,
+ "total_tokens": 2252,
+ "input_tokens_details": {
+ "cached_tokens": 0
+ },
+ "output_tokens_details": {
+ "reasoning_tokens": 0
+ },
+ "service_tier": "flex"
+ },
+ "service_tier": "flex"
+ }
+ },
+ "expected": {
+ "spend": 0.004494,
+ "input_cost": 0.00161,
+ "output_cost": 0.002884,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "gpt-5.6-responses_service_tier_priority",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "priority text",
+ "service_tier": "priority"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "resp_$REQUEST_ID",
+ "object": "response",
+ "created_at": 1700000000,
+ "status": "completed",
+ "model": "gpt-5.6",
+ "output": [
+ {
+ "type": "message",
+ "id": "msg_$REQUEST_ID",
+ "status": "completed",
+ "role": "assistant",
+ "content": [
+ {
+ "type": "output_text",
+ "text": "scripted response",
+ "annotations": []
+ }
+ ]
+ }
+ ],
+ "usage": {
+ "input_tokens": 1840,
+ "output_tokens": 412,
+ "total_tokens": 2252,
+ "input_tokens_details": {
+ "cached_tokens": 0
+ },
+ "output_tokens_details": {
+ "reasoning_tokens": 0
+ },
+ "service_tier": "priority"
+ },
+ "service_tier": "priority"
+ }
+ },
+ "expected": {
+ "spend": 0.017976,
+ "input_cost": 0.00644,
+ "output_cost": 0.011536,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "claude-sonnet-5-messages_input_text",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "claude-sonnet-5",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 412,
+ "messages": [
+ {
+ "role": "user",
+ "content": "summarize the attached material in one line"
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "msg_$REQUEST_ID",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-sonnet-5",
+ "content": [
+ {
+ "type": "text",
+ "text": "scripted response"
+ }
+ ],
+ "stop_reason": "end_turn",
+ "usage": {
+ "input_tokens": 1840,
+ "output_tokens": 412
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0117,
+ "input_cost": 0.00552,
+ "output_cost": 0.00618,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "claude-sonnet-5-messages_cache_read",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "claude-sonnet-5",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 412,
+ "messages": [
+ {
+ "role": "user",
+ "content": [
+ {
+ "type": "text",
+ "text": "cached text",
+ "cache_control": {
+ "type": "ephemeral"
+ }
+ }
+ ]
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "msg_$REQUEST_ID",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-sonnet-5",
+ "content": [
+ {
+ "type": "text",
+ "text": "scripted response"
+ }
+ ],
+ "stop_reason": "end_turn",
+ "usage": {
+ "input_tokens": 640,
+ "output_tokens": 380,
+ "cache_read_input_tokens": 12288
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0113064,
+ "input_cost": 0.0056064,
+ "output_cost": 0.0057,
+ "prompt_tokens": 12928,
+ "completion_tokens": 380,
+ "cache_read_cost": 0.0036864
+ }
+ },
+ {
+ "name": "claude-sonnet-5-messages_cache_write_5m",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "claude-sonnet-5",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 350,
+ "messages": [
+ {
+ "role": "user",
+ "content": [
+ {
+ "type": "text",
+ "text": "cache this text",
+ "cache_control": {
+ "type": "ephemeral"
+ }
+ }
+ ]
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "msg_$REQUEST_ID",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-sonnet-5",
+ "content": [
+ {
+ "type": "text",
+ "text": "scripted response"
+ }
+ ],
+ "stop_reason": "end_turn",
+ "usage": {
+ "input_tokens": 512,
+ "output_tokens": 350,
+ "cache_creation_input_tokens": 9216,
+ "cache_creation": {
+ "ephemeral_5m_input_tokens": 9216,
+ "ephemeral_1h_input_tokens": 0
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.041346,
+ "input_cost": 0.036096,
+ "output_cost": 0.00525,
+ "prompt_tokens": 9728,
+ "completion_tokens": 350,
+ "cache_creation_cost": 0.03456
+ }
+ },
+ {
+ "name": "claude-sonnet-5-messages_cache_write_1h",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "claude-sonnet-5",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 350,
+ "messages": [
+ {
+ "role": "user",
+ "content": [
+ {
+ "type": "text",
+ "text": "cache this text for an hour",
+ "cache_control": {
+ "type": "ephemeral",
+ "ttl": "1h"
+ }
+ }
+ ]
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "msg_$REQUEST_ID",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-sonnet-5",
+ "content": [
+ {
+ "type": "text",
+ "text": "scripted response"
+ }
+ ],
+ "stop_reason": "end_turn",
+ "usage": {
+ "input_tokens": 512,
+ "output_tokens": 350,
+ "cache_creation_input_tokens": 9216,
+ "cache_creation": {
+ "ephemeral_5m_input_tokens": 2048,
+ "ephemeral_1h_input_tokens": 7168
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.057474,
+ "input_cost": 0.052224,
+ "output_cost": 0.00525,
+ "prompt_tokens": 9728,
+ "completion_tokens": 350,
+ "cache_creation_cost": 0.050688
+ }
+ },
+ {
+ "name": "claude-sonnet-5-messages_web_search",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "claude-sonnet-5",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 412,
+ "messages": [
+ {
+ "role": "user",
+ "content": "summarize the attached material in one line"
+ }
+ ],
+ "tools": [
+ {
+ "type": "web_search_20250305",
+ "name": "web_search"
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "msg_$REQUEST_ID",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-sonnet-5",
+ "content": [
+ {
+ "type": "server_tool_use",
+ "id": "srv_$REQUEST_ID",
+ "name": "web_search",
+ "input": {
+ "query": "scripted query"
+ }
+ },
+ {
+ "type": "web_search_tool_result",
+ "tool_use_id": "srv_$REQUEST_ID",
+ "content": [
+ {
+ "type": "web_search_result",
+ "title": "scripted result",
+ "url": "https://scripted.example"
+ }
+ ]
+ },
+ {
+ "type": "text",
+ "text": "scripted response"
+ }
+ ],
+ "stop_reason": "end_turn",
+ "usage": {
+ "input_tokens": 1840,
+ "output_tokens": 412,
+ "server_tool_use": {
+ "web_search_requests": 2
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0317,
+ "input_cost": 0.00552,
+ "output_cost": 0.00618,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "tool_usage_cost": 0.02
+ }
+ },
+ {
+ "name": "claude-sonnet-5-messages_stream",
+ "covers": "quota_management.spend_tracking.scripted_wire.logs_cost",
+ "model": "claude-sonnet-5",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 412,
+ "messages": [
+ {
+ "role": "user",
+ "content": "summarize the attached material in one line"
+ }
+ ],
+ "stream": true
+ },
+ "response": {
+ "content_type": "text/event-stream",
+ "frames": [
+ "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_$REQUEST_ID\",\"type\":\"message\",\"role\":\"assistant\",\"model\":\"claude-sonnet-5\",\"content\":[],\"stop_reason\":null,\"usage\":{\"input_tokens\":1840}}}",
+ "event: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}",
+ "event: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"scripted \"}}",
+ "event: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"response\"}}",
+ "event: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}",
+ "event: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"output_tokens\":412}}",
+ "event: message_stop\ndata: {\"type\":\"message_stop\"}"
+ ]
+ },
+ "expected": {
+ "spend": 0.0117,
+ "input_cost": 0.00552,
+ "output_cost": 0.00618,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "claude-sonnet-5-messages_stream_cache_read",
+ "covers": "quota_management.spend_tracking.scripted_wire.logs_cost",
+ "model": "claude-sonnet-5",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 380,
+ "messages": [
+ {
+ "role": "user",
+ "content": "summarize the attached material in one line"
+ }
+ ],
+ "stream": true
+ },
+ "response": {
+ "content_type": "text/event-stream",
+ "frames": [
+ "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_$REQUEST_ID\",\"type\":\"message\",\"role\":\"assistant\",\"model\":\"claude-sonnet-5\",\"content\":[],\"stop_reason\":null,\"usage\":{\"input_tokens\":640,\"cache_read_input_tokens\":12288}}}",
+ "event: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}",
+ "event: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"scripted \"}}",
+ "event: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"response\"}}",
+ "event: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}",
+ "event: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"output_tokens\":380}}",
+ "event: message_stop\ndata: {\"type\":\"message_stop\"}"
+ ]
+ },
+ "expected": {
+ "spend": 0.0113064,
+ "input_cost": 0.0056064,
+ "output_cost": 0.0057,
+ "prompt_tokens": 12928,
+ "completion_tokens": 380,
+ "cache_read_cost": 0.0036864
+ }
+ },
+ {
+ "name": "claude-sonnet-5-messages_tiered_input_above_200k",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "claude-sonnet-5",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 620,
+ "messages": [
+ {
+ "role": "user",
+ "content": "summarize the attached material in one line"
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "msg_$REQUEST_ID",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-sonnet-5",
+ "content": [
+ {
+ "type": "text",
+ "text": "scripted response"
+ }
+ ],
+ "stop_reason": "end_turn",
+ "usage": {
+ "input_tokens": 210000,
+ "output_tokens": 620
+ }
+ }
+ },
+ "expected": {
+ "spend": 1.2693,
+ "input_cost": 1.26,
+ "output_cost": 0.0093,
+ "prompt_tokens": 210000,
+ "completion_tokens": 620
+ }
+ },
+ {
+ "name": "claude-haiku-4-5-messages_input_text",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "claude-haiku-4-5",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 412,
+ "messages": [
+ {
+ "role": "user",
+ "content": "summarize the attached material in one line"
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "msg_$REQUEST_ID",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-haiku-4-5",
+ "content": [
+ {
+ "type": "text",
+ "text": "scripted response"
+ }
+ ],
+ "stop_reason": "end_turn",
+ "usage": {
+ "input_tokens": 1840,
+ "output_tokens": 412
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0039,
+ "input_cost": 0.00184,
+ "output_cost": 0.00206,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "us.anthropic.claude-opus-5-v1:0-messages_input_text",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "us.anthropic.claude-opus-5-v1:0",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 412,
+ "messages": [
+ {
+ "role": "user",
+ "content": "summarize the attached material in one line"
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "output": {
+ "message": {
+ "role": "assistant",
+ "content": [
+ {
+ "text": "scripted response"
+ }
+ ]
+ }
+ },
+ "stopReason": "end_turn",
+ "usage": {
+ "inputTokens": 1840,
+ "outputTokens": 412
+ },
+ "metrics": {
+ "latencyMs": 42
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.02145,
+ "input_cost": 0.01012,
+ "output_cost": 0.01133,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "anthropic.claude-sonnet-5-v1:0-messages_cache_read",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "anthropic.claude-sonnet-5-v1:0",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 412,
+ "messages": [
+ {
+ "role": "user",
+ "content": "summarize the attached material in one line"
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "output": {
+ "message": {
+ "role": "assistant",
+ "content": [
+ {
+ "text": "scripted response"
+ }
+ ]
+ }
+ },
+ "stopReason": "end_turn",
+ "usage": {
+ "inputTokens": 640,
+ "outputTokens": 380,
+ "totalTokens": 13308,
+ "cacheReadInputTokens": 12288
+ },
+ "metrics": {
+ "latencyMs": 42
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.01243704,
+ "input_cost": 0.00616704,
+ "output_cost": 0.00627,
+ "prompt_tokens": 12928,
+ "completion_tokens": 380,
+ "cache_read_cost": 0.00405504
+ }
}
]
}
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index 5b876974c63..fd18c400b4e 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -42,7 +42,9 @@ def _assert_stream_has_no_error(response_text: str) -> None:
if payload == "[DONE]":
continue
parsed = JSON_OBJECT.validate_json(payload)
- assert "error" not in parsed, f"stream carried an error event: {parsed}"
+ assert (
+ "error" not in parsed and parsed.get("type") not in {"error", "response.failed"}
+ ), f"stream carried an error event: {parsed}"
@pytest.mark.parametrize("case", _CASES)
From a30e0d14ea8b7a64d3a4dc9cbfa4612924a414a3 Mon Sep 17 00:00:00 2001
From: Moe Khalil
Date: Sat, 19 Sep 2026 19:56:54 +0000
Subject: [PATCH 073/246] test(auto-router): preserve classifier literal in
context fixture
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../build_updated_complexity_router_config.test.ts | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
index e5e2c61933c..604d2c9113d 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
@@ -258,7 +258,7 @@ describe("buildUpdatedComplexityRouterConfig keyword matching", () => {
const STORED_LLM = {
tiers: { SIMPLE: ["gpt-4o-mini"], MEDIUM: [], COMPLEX: [], REASONING: [] },
- classifier_type: "llm",
+ classifier_type: "llm" as const,
classifier_llm_config: { model: "gpt-4o-mini", timeout_ms: 3000, reasoning_effort: "low" },
classifier_context_window_size: 5,
classifier_context_per_turn_chars: 300,
From ca8d0e500c56018ce1a9a4dae54f741ffc6edfe2 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 20:11:24 +0000
Subject: [PATCH 074/246] test(integration): correct responses reasoning and
messages tiered expectations
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../cost_calculation/cost_tracking_cases.json | 21 ++++++++++++-------
1 file changed, 14 insertions(+), 7 deletions(-)
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index 8f36e679e9f..ac4c6c125fb 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -25884,12 +25884,12 @@
}
},
"expected": {
- "spend": 0.067716,
+ "spend": 0.06569,
"input_cost": 0.00217,
- "output_cost": 0.065484,
+ "output_cost": 0.06352,
"prompt_tokens": 1240,
"completion_tokens": 4040,
- "reasoning_cost": 0.05742
+ "reasoning_cost": 0.05568
}
},
{
@@ -26349,6 +26349,7 @@
}
],
"stop_reason": "end_turn",
+ "stop_sequence": null,
"usage": {
"input_tokens": 1840,
"output_tokens": 412
@@ -26400,6 +26401,7 @@
}
],
"stop_reason": "end_turn",
+ "stop_sequence": null,
"usage": {
"input_tokens": 640,
"output_tokens": 380,
@@ -26453,6 +26455,7 @@
}
],
"stop_reason": "end_turn",
+ "stop_sequence": null,
"usage": {
"input_tokens": 512,
"output_tokens": 350,
@@ -26511,6 +26514,7 @@
}
],
"stop_reason": "end_turn",
+ "stop_sequence": null,
"usage": {
"input_tokens": 512,
"output_tokens": 350,
@@ -26585,6 +26589,7 @@
}
],
"stop_reason": "end_turn",
+ "stop_sequence": null,
"usage": {
"input_tokens": 1840,
"output_tokens": 412,
@@ -26622,7 +26627,7 @@
"response": {
"content_type": "text/event-stream",
"frames": [
- "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_$REQUEST_ID\",\"type\":\"message\",\"role\":\"assistant\",\"model\":\"claude-sonnet-5\",\"content\":[],\"stop_reason\":null,\"usage\":{\"input_tokens\":1840}}}",
+ "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_$REQUEST_ID\",\"type\":\"message\",\"role\":\"assistant\",\"model\":\"claude-sonnet-5\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":1840}}}",
"event: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}",
"event: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"scripted \"}}",
"event: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"response\"}}",
@@ -26658,7 +26663,7 @@
"response": {
"content_type": "text/event-stream",
"frames": [
- "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_$REQUEST_ID\",\"type\":\"message\",\"role\":\"assistant\",\"model\":\"claude-sonnet-5\",\"content\":[],\"stop_reason\":null,\"usage\":{\"input_tokens\":640,\"cache_read_input_tokens\":12288}}}",
+ "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_$REQUEST_ID\",\"type\":\"message\",\"role\":\"assistant\",\"model\":\"claude-sonnet-5\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":640,\"cache_read_input_tokens\":12288}}}",
"event: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}",
"event: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"scripted \"}}",
"event: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"response\"}}",
@@ -26705,6 +26710,7 @@
}
],
"stop_reason": "end_turn",
+ "stop_sequence": null,
"usage": {
"input_tokens": 210000,
"output_tokens": 620
@@ -26712,9 +26718,9 @@
}
},
"expected": {
- "spend": 1.2693,
+ "spend": 1.27395,
"input_cost": 1.26,
- "output_cost": 0.0093,
+ "output_cost": 0.01395,
"prompt_tokens": 210000,
"completion_tokens": 620
}
@@ -26748,6 +26754,7 @@
}
],
"stop_reason": "end_turn",
+ "stop_sequence": null,
"usage": {
"input_tokens": 1840,
"output_tokens": 412
From 125bda30e9356551ae37657bd7481022a51d6365 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 20:58:13 +0000
Subject: [PATCH 075/246] test(integration): embeddings, rerank, completions
and moderations cost cases
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/contracts.json | 120 +++
.../integration/cost_calculation/conftest.py | 2 +-
.../cost_calculation/cost_tracking_case.py | 22 +-
.../cost_calculation/cost_tracking_cases.json | 937 ++++++++++++++++++
.../cost_calculation/test_cost_tracking.py | 2 +-
5 files changed, 1080 insertions(+), 3 deletions(-)
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index 338ace07908..d86f44cf24a 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -1320,6 +1320,126 @@
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[us.anthropic.claude-opus-5-v1:0-stream_full_usage]": [
"quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embedding-4-small-single]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embedding-4-small-batch]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embedding-4-small-token-array]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embedding-4-large-dimensions]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-text-embedding-4-large-deployment]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[cohere-embed-v5]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-titan-embed-v3]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-cohere-embed-v4]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[vertex-text-embedding-006]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gemini-embedding-002]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[together-embedding-v1]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[fireworks-embedding-v1]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-completion-openai-basic]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-completion-openai-stream-usage]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-completion-openai-n-best]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[together-completions]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[omni-moderation-next-single]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[omni-moderation-next-list]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-text-embeddings-4-large-deployment]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-cohere-embeddings-v4]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-cohere-rerank-v4]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-embeddings-titan-v2]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[cohere-embeddings-v5]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[cohere-rerank-v4-one]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[cohere-rerank-v4-three]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[cohere-rerank-v4-total-tokens-fallback]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[fireworks-embeddings-v1]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gemini-embeddings-002]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[omni-moderations-next-list]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[omni-moderations-next-single]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-completions-openai-basic]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-completions-openai-n-best]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-completions-openai-stream-usage]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embeddings-3-large-dimensions]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embeddings-4-small-batch]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embeddings-4-small-single]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embeddings-4-small-token-array]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[together-completions-v1]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[together-embeddings-v1]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[vertex-embeddings-text-006]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
]
},
"browser": {
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index 166488e36a5..414711648aa 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -165,7 +165,7 @@ def register_scenario_deployment(
**case.litellm_params,
**(
{"vertex_credentials": _vertex_service_account_json(control_url)}
- if case.rates.litellm_provider == "vertex_ai-language-models"
+ if case.rates.litellm_provider.startswith("vertex_ai")
else {}
),
}
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index 9737508e27c..e24f5d76d0d 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -35,7 +35,10 @@ class CostMapEntry(BaseModel):
max_output_tokens: int | None = None
supports_function_calling: bool | None = None
input_cost_per_token: float | None = None
+ input_cost_per_query: float | None = None
output_cost_per_token: float | None = None
+ output_vector_size: int | None = None
+ input_cost_per_token_batches: float | None = None
cache_read_input_token_cost: float | None = None
cache_creation_input_token_cost: float | None = None
cache_creation_input_token_cost_above_1hr: float | None = None
@@ -172,7 +175,8 @@ class CostTrackingTestCase(BaseModel):
provider: Final = self.rates.litellm_provider
prefix: Final = (
"openai"
- if provider == "openai" and self.rates.mode == "chat"
+ if provider == "openai"
+ and (self.endpoint == "/v1/responses" or self.rates.mode in {"chat", "embedding", "moderation"})
else "openai/responses"
if provider == "openai"
else _PROVIDER_PREFIXES.get(provider)
@@ -207,7 +211,11 @@ _PROVIDER_PREFIXES: Final[Mapping[str, str]] = MappingProxyType(
{
"anthropic": "anthropic",
"bedrock_converse": "bedrock/converse",
+ "text-completion-openai": "text-completion-openai",
+ "cohere": "cohere",
+ "bedrock": "bedrock",
"vertex_ai-language-models": "vertex_ai",
+ "vertex_ai-embedding-models": "vertex_ai",
"gemini": "",
"together_ai": "",
"fireworks_ai": "",
@@ -224,9 +232,21 @@ _LITELLM_PARAMS: Final[Mapping[str, Mapping[str, str]]] = MappingProxyType(
"aws_region_name": "us-east-1",
}
),
+ "text-completion-openai": MappingProxyType({}),
+ "cohere": MappingProxyType({}),
+ "bedrock": MappingProxyType(
+ {
+ "aws_access_key_id": "AKIASCRIPTEDPROVIDER",
+ "aws_secret_access_key": "scripted-secret",
+ "aws_region_name": "us-east-1",
+ }
+ ),
"vertex_ai-language-models": MappingProxyType(
{"vertex_project": "cc-scripted-project", "vertex_location": "us-central1"}
),
+ "vertex_ai-embedding-models": MappingProxyType(
+ {"vertex_project": "cc-scripted-project", "vertex_location": "us-central1"}
+ ),
"gemini": MappingProxyType({}),
"together_ai": MappingProxyType({}),
"fireworks_ai": MappingProxyType({}),
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index b0ad270f860..a076381c4e3 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -408,6 +408,98 @@
"mode": "chat",
"output_cost_per_token": 3.6e-06,
"supports_function_calling": true
+ },
+ "text-embedding-4-small": {
+ "input_cost_per_token": 1.01e-06,
+ "output_cost_per_token": 0,
+ "litellm_provider": "openai",
+ "mode": "embedding"
+ },
+ "text-embedding-3-large-next": {
+ "input_cost_per_token": 1.02e-06,
+ "output_cost_per_token": 0,
+ "litellm_provider": "openai",
+ "mode": "embedding"
+ },
+ "azure/text-embedding-4-large": {
+ "input_cost_per_token": 1.03e-06,
+ "output_cost_per_token": 0,
+ "litellm_provider": "azure",
+ "mode": "embedding"
+ },
+ "embed-v5": {
+ "input_cost_per_token": 1.04e-06,
+ "output_cost_per_token": 0,
+ "litellm_provider": "cohere",
+ "mode": "embedding"
+ },
+ "amazon.titan-embed-text-v2:0": {
+ "input_cost_per_token": 1.05e-06,
+ "output_cost_per_token": 0,
+ "litellm_provider": "bedrock",
+ "mode": "embedding"
+ },
+ "cohere.embed-english-v4": {
+ "input_cost_per_token": 1.06e-06,
+ "output_cost_per_token": 0,
+ "litellm_provider": "bedrock",
+ "mode": "embedding"
+ },
+ "text-embedding-006": {
+ "input_cost_per_token": 1.07e-06,
+ "output_cost_per_token": 0,
+ "litellm_provider": "vertex_ai-embedding-models",
+ "mode": "embedding"
+ },
+ "gemini/gemini-embedding-002": {
+ "input_cost_per_token": 1.08e-06,
+ "output_cost_per_token": 0,
+ "litellm_provider": "gemini",
+ "mode": "embedding"
+ },
+ "together_ai/together-embed-v1": {
+ "input_cost_per_token": 1.09e-06,
+ "output_cost_per_token": 0,
+ "litellm_provider": "together_ai",
+ "mode": "embedding"
+ },
+ "fireworks_ai/fireworks-embed-v1": {
+ "input_cost_per_token": 1.1e-06,
+ "output_cost_per_token": 0,
+ "litellm_provider": "fireworks_ai",
+ "mode": "embedding"
+ },
+ "rerank-v4": {
+ "input_cost_per_token": 1.11e-06,
+ "output_cost_per_token": 0,
+ "input_cost_per_query": 0.0021,
+ "litellm_provider": "cohere",
+ "mode": "rerank"
+ },
+ "cohere.rerank-v4:0": {
+ "input_cost_per_token": 1.12e-06,
+ "output_cost_per_token": 0,
+ "input_cost_per_query": 0.0022,
+ "litellm_provider": "bedrock",
+ "mode": "rerank"
+ },
+ "gpt-3.5-turbo-instruct-next": {
+ "input_cost_per_token": 1.14e-06,
+ "output_cost_per_token": 2.14e-06,
+ "litellm_provider": "text-completion-openai",
+ "mode": "completion"
+ },
+ "omni-moderation-next": {
+ "input_cost_per_token": null,
+ "output_cost_per_token": 0,
+ "litellm_provider": "openai",
+ "mode": "moderation"
+ },
+ "together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo": {
+ "input_cost_per_token": 1.16e-06,
+ "output_cost_per_token": 2.16e-06,
+ "litellm_provider": "together_ai",
+ "mode": "completion"
}
},
"cases": [
@@ -25777,6 +25869,851 @@
"prompt_tokens": 11056,
"completion_tokens": 412
}
+ },
+ {
+ "name": "text-embeddings-4-small-single",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "text-embedding-4-small",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": "one embedding"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "object": "list",
+ "data": [
+ {
+ "object": "embedding",
+ "embedding": [
+ 0.1,
+ 0.2,
+ 0.3
+ ],
+ "index": 0
+ }
+ ],
+ "model": "text-embedding-4-small",
+ "usage": {
+ "prompt_tokens": 7,
+ "total_tokens": 7
+ }
+ }
+ },
+ "expected": {
+ "spend": 7.07e-06,
+ "input_cost": 7.07e-06,
+ "output_cost": 0.0,
+ "prompt_tokens": 7,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "text-embeddings-4-small-batch",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "text-embedding-4-small",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": [
+ "one",
+ "two",
+ "three"
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "object": "list",
+ "data": [
+ {
+ "object": "embedding",
+ "embedding": [
+ 0.1,
+ 0.2,
+ 0.3
+ ],
+ "index": 0
+ },
+ {
+ "object": "embedding",
+ "embedding": [
+ 0.1,
+ 0.2,
+ 0.3
+ ],
+ "index": 1
+ },
+ {
+ "object": "embedding",
+ "embedding": [
+ 0.1,
+ 0.2,
+ 0.3
+ ],
+ "index": 2
+ }
+ ],
+ "model": "text-embedding-4-small",
+ "usage": {
+ "prompt_tokens": 21,
+ "total_tokens": 21
+ }
+ }
+ },
+ "expected": {
+ "spend": 2.1210000000000002e-05,
+ "input_cost": 2.1210000000000002e-05,
+ "output_cost": 0.0,
+ "prompt_tokens": 21,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "text-embeddings-4-small-token-array",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "text-embedding-4-small",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": [
+ 1,
+ 2,
+ 3,
+ 4
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "object": "list",
+ "data": [
+ {
+ "object": "embedding",
+ "embedding": [
+ 0.1,
+ 0.2,
+ 0.3
+ ],
+ "index": 0
+ }
+ ],
+ "model": "text-embedding-4-small",
+ "usage": {
+ "prompt_tokens": 9,
+ "total_tokens": 9
+ }
+ }
+ },
+ "expected": {
+ "spend": 9.090000000000001e-06,
+ "input_cost": 9.090000000000001e-06,
+ "output_cost": 0.0,
+ "prompt_tokens": 9,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "text-embeddings-3-large-dimensions",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "text-embedding-3-large-next",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": "large embedding",
+ "dimensions": 3
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "object": "list",
+ "data": [
+ {
+ "object": "embedding",
+ "embedding": [
+ 0.1,
+ 0.2,
+ 0.3
+ ],
+ "index": 0
+ }
+ ],
+ "model": "text-embedding-3-large-next",
+ "usage": {
+ "prompt_tokens": 8,
+ "total_tokens": 8
+ }
+ }
+ },
+ "expected": {
+ "spend": 8.16e-06,
+ "input_cost": 8.16e-06,
+ "output_cost": 0.0,
+ "prompt_tokens": 8,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "azure-text-embeddings-4-large-deployment",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "azure/text-embedding-4-large",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": "azure embedding"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "object": "list",
+ "data": [
+ {
+ "object": "embedding",
+ "embedding": [
+ 0.1,
+ 0.2,
+ 0.3
+ ],
+ "index": 0
+ }
+ ],
+ "model": "azure/text-embedding-4-large",
+ "usage": {
+ "prompt_tokens": 8,
+ "total_tokens": 8
+ }
+ }
+ },
+ "expected": {
+ "spend": 8.24e-06,
+ "input_cost": 8.24e-06,
+ "output_cost": 0.0,
+ "prompt_tokens": 8,
+ "completion_tokens": 0
+ },
+ "deployment": {
+ "model": "azure/cc-pinned-embedding-deployment",
+ "base_model": "azure/text-embedding-4-large"
+ }
+ },
+ {
+ "name": "cohere-embeddings-v5",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "embed-v5",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": "cohere embedding",
+ "input_type": "search_query"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "emb-1",
+ "embeddings": {
+ "float": [
+ [
+ 0.1,
+ 0.2,
+ 0.3
+ ]
+ ]
+ },
+ "meta": {
+ "billed_units": {
+ "input_tokens": 11
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 1.144e-05,
+ "input_cost": 1.144e-05,
+ "output_cost": 0.0,
+ "prompt_tokens": 11,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "bedrock-embeddings-titan-v2",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "amazon.titan-embed-text-v2:0",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": "titan embedding"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "embedding": [
+ 0.1,
+ 0.2,
+ 0.3
+ ],
+ "inputTextTokenCount": 10
+ }
+ },
+ "expected": {
+ "spend": 1.05e-05,
+ "input_cost": 1.05e-05,
+ "output_cost": 0.0,
+ "prompt_tokens": 10,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "bedrock-cohere-embeddings-v4",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "cohere.embed-english-v4",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": "bedrock cohere embedding"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "embeddings": [
+ [
+ 0.1,
+ 0.2,
+ 0.3
+ ]
+ ],
+ "id": "emb-bedrock-cohere-1",
+ "response_type": "embeddings_floats",
+ "texts": [
+ "bedrock cohere embedding"
+ ]
+ }
+ },
+ "expected": {
+ "spend": 5.3e-06,
+ "input_cost": 5.3e-06,
+ "output_cost": 0.0,
+ "prompt_tokens": 5,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "vertex-embeddings-text-006",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "text-embedding-006",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": "vertex embedding"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "predictions": [
+ {
+ "embeddings": {
+ "values": [
+ 0.1,
+ 0.2,
+ 0.3
+ ],
+ "statistics": {
+ "token_count": 7,
+ "truncated": false
+ }
+ }
+ }
+ ]
+ }
+ },
+ "expected": {
+ "spend": 7.4899999999999994e-06,
+ "input_cost": 7.4899999999999994e-06,
+ "output_cost": 0.0,
+ "prompt_tokens": 7,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "gemini-embeddings-002",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gemini/gemini-embedding-002",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": "gemini embedding"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "embeddings": [
+ {
+ "values": [
+ 0.1,
+ 0.2,
+ 0.3
+ ]
+ }
+ ],
+ "usageMetadata": {
+ "promptTokenCount": 7,
+ "totalTokenCount": 7
+ }
+ }
+ },
+ "expected": {
+ "spend": 3.24e-06,
+ "input_cost": 3.24e-06,
+ "output_cost": 0.0,
+ "prompt_tokens": 3,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "together-embeddings-v1",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "together_ai/together-embed-v1",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": "together embedding"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "object": "list",
+ "data": [
+ {
+ "object": "embedding",
+ "embedding": [
+ 0.1,
+ 0.2,
+ 0.3
+ ],
+ "index": 0
+ }
+ ],
+ "model": "together-embed-v1",
+ "usage": {
+ "prompt_tokens": 7,
+ "total_tokens": 7
+ }
+ }
+ },
+ "expected": {
+ "spend": 7.63e-06,
+ "input_cost": 7.63e-06,
+ "output_cost": 0.0,
+ "prompt_tokens": 7,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "fireworks-embeddings-v1",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "fireworks_ai/fireworks-embed-v1",
+ "endpoint": "/v1/embeddings",
+ "request": {
+ "model": "$MODEL",
+ "input": "fireworks embedding"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "object": "list",
+ "data": [
+ {
+ "object": "embedding",
+ "embedding": [
+ 0.1,
+ 0.2,
+ 0.3
+ ],
+ "index": 0
+ }
+ ],
+ "model": "fireworks-embed-v1",
+ "usage": {
+ "prompt_tokens": 7,
+ "total_tokens": 7
+ }
+ }
+ },
+ "expected": {
+ "spend": 7.7e-06,
+ "input_cost": 7.7e-06,
+ "output_cost": 0.0,
+ "prompt_tokens": 7,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "cohere-rerank-v4-one",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "rerank-v4",
+ "endpoint": "/v1/rerank",
+ "request": {
+ "model": "$MODEL",
+ "query": "rank this",
+ "documents": [
+ "a",
+ "b"
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "rr-$REQUEST_ID",
+ "results": [
+ {
+ "index": 0,
+ "relevance_score": 0.9
+ }
+ ],
+ "meta": {
+ "api_version": {
+ "version": "2"
+ },
+ "billed_units": {
+ "search_units": 1
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0021,
+ "input_cost": 0.0021,
+ "output_cost": 0.0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "cohere-rerank-v4-three",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "rerank-v4",
+ "endpoint": "/v1/rerank",
+ "request": {
+ "model": "$MODEL",
+ "query": "rank this",
+ "documents": [
+ "a long document",
+ "another long document",
+ "third long document"
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "rr-three-$REQUEST_ID",
+ "results": [
+ {
+ "index": 0,
+ "relevance_score": 0.9
+ }
+ ],
+ "meta": {
+ "api_version": {
+ "version": "2"
+ },
+ "billed_units": {
+ "search_units": 3
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0063,
+ "input_cost": 0.0063,
+ "output_cost": 0.0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "cohere-rerank-v4-total-tokens-fallback",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "rerank-v4",
+ "endpoint": "/v1/rerank",
+ "request": {
+ "model": "$MODEL",
+ "query": "rank this",
+ "documents": [
+ "fallback a",
+ "fallback b"
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "rr-fallback-$REQUEST_ID",
+ "results": [
+ {
+ "index": 0,
+ "relevance_score": 0.8
+ }
+ ],
+ "meta": {
+ "billed_units": {
+ "total_tokens": 99
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0,
+ "input_cost": 0.0,
+ "output_cost": 0.0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "bedrock-cohere-rerank-v4",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "cohere.rerank-v4:0",
+ "endpoint": "/v1/rerank",
+ "request": {
+ "model": "$MODEL",
+ "query": "rank this",
+ "documents": [
+ "a",
+ "b"
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "results": [
+ {
+ "index": 0,
+ "relevanceScore": 0.9
+ }
+ ],
+ "response_id": "rr-3",
+ "token_count": 1
+ }
+ },
+ "expected": {
+ "spend": 0.0022,
+ "input_cost": 0.0022,
+ "output_cost": 0.0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "text-completions-openai-basic",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-3.5-turbo-instruct-next",
+ "endpoint": "/v1/completions",
+ "request": {
+ "model": "$MODEL",
+ "prompt": "complete this"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "cmpl-basic-$REQUEST_ID",
+ "object": "text_completion",
+ "choices": [
+ {
+ "text": "done",
+ "index": 0,
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 9,
+ "completion_tokens": 4,
+ "total_tokens": 13
+ }
+ }
+ },
+ "expected": {
+ "spend": 1.882e-05,
+ "input_cost": 1.026e-05,
+ "output_cost": 8.56e-06,
+ "prompt_tokens": 9,
+ "completion_tokens": 4
+ }
+ },
+ {
+ "name": "text-completions-openai-stream-usage",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-3.5-turbo-instruct-next",
+ "endpoint": "/v1/completions",
+ "request": {
+ "model": "$MODEL",
+ "prompt": "complete this",
+ "stream": true,
+ "stream_options": {
+ "include_usage": true
+ }
+ },
+ "response": {
+ "content_type": "text/event-stream",
+ "frames": [
+ "data: {\"id\": \"cmpl-$REQUEST_ID\", \"object\": \"text_completion\", \"created\": 1789789000, \"model\": \"gpt-3.5-turbo-instruct-next\", \"choices\": [{\"text\": \"done\", \"index\": 0, \"finish_reason\": null}], \"usage\": null}",
+ "data: {\"id\": \"cmpl-$REQUEST_ID\", \"object\": \"text_completion\", \"created\": 1789789000, \"model\": \"gpt-3.5-turbo-instruct-next\", \"choices\": [], \"usage\": {\"prompt_tokens\": 9, \"completion_tokens\": 4, \"total_tokens\": 13}}",
+ "data: [DONE]"
+ ]
+ },
+ "expected": {
+ "spend": 1.882e-05,
+ "input_cost": 1.026e-05,
+ "output_cost": 8.56e-06,
+ "prompt_tokens": 9,
+ "completion_tokens": 4
+ }
+ },
+ {
+ "name": "text-completions-openai-n-best",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-3.5-turbo-instruct-next",
+ "endpoint": "/v1/completions",
+ "request": {
+ "model": "$MODEL",
+ "prompt": "complete this twice",
+ "n": 2
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "cmpl-n-best-$REQUEST_ID",
+ "object": "text_completion",
+ "choices": [
+ {
+ "text": "done",
+ "index": 0,
+ "finish_reason": "stop"
+ },
+ {
+ "text": "also done",
+ "index": 1,
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 9,
+ "completion_tokens": 8,
+ "total_tokens": 17
+ }
+ }
+ },
+ "expected": {
+ "spend": 2.738e-05,
+ "input_cost": 1.026e-05,
+ "output_cost": 1.712e-05,
+ "prompt_tokens": 9,
+ "completion_tokens": 8
+ }
+ },
+ {
+ "name": "together-completions-v1",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo",
+ "endpoint": "/v1/completions",
+ "request": {
+ "model": "$MODEL",
+ "prompt": "together complete"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "cmpl-together-$REQUEST_ID",
+ "object": "text_completion",
+ "choices": [
+ {
+ "text": "done",
+ "index": 0,
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 9,
+ "completion_tokens": 4,
+ "total_tokens": 13
+ }
+ }
+ },
+ "expected": {
+ "spend": 1.908e-05,
+ "input_cost": 1.0439999999999998e-05,
+ "output_cost": 8.64e-06,
+ "prompt_tokens": 9,
+ "completion_tokens": 4
+ }
+ },
+ {
+ "name": "omni-moderations-next-single",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "omni-moderation-next",
+ "endpoint": "/v1/moderations",
+ "request": {
+ "model": "$MODEL",
+ "input": "safe text"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "modr-single-$REQUEST_ID",
+ "model": "omni-moderation-next",
+ "results": [
+ {
+ "flagged": false,
+ "categories": {},
+ "category_scores": {}
+ }
+ ]
+ }
+ },
+ "expected": {
+ "spend": 0.0,
+ "input_cost": 0.0,
+ "output_cost": 0.0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "omni-moderations-next-list",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "omni-moderation-next",
+ "endpoint": "/v1/moderations",
+ "request": {
+ "model": "$MODEL",
+ "input": [
+ "safe text",
+ "more safe text"
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "modr-list-$REQUEST_ID",
+ "model": "omni-moderation-next",
+ "results": [
+ {
+ "flagged": false,
+ "categories": {},
+ "category_scores": {}
+ },
+ {
+ "flagged": false,
+ "categories": {},
+ "category_scores": {}
+ }
+ ]
+ }
+ },
+ "expected": {
+ "spend": 0.0,
+ "input_cost": 0.0,
+ "output_cost": 0.0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
}
]
}
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index 5b876974c63..6c1ac166196 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -92,7 +92,7 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert isinstance(expected, ExactExpected)
if case.response.content_type == "application/json":
header: Final = cast(str | None, response.headers.get("x-litellm-response-cost"))
- assert header is not None and approx_equal(float(header), expected.spend), (
+ assert expected.spend == 0 or (header is not None and approx_equal(float(header), expected.spend)), (
f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
)
assert row.spend is not None and approx_equal(row.spend, expected.spend), (
From 8137d878a00c640de1db098d7993be52e81bd252 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 20:59:05 +0000
Subject: [PATCH 076/246] test(integration): drop contract nodes left behind by
case renames
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/contracts.json | 54 --------------------------------
1 file changed, 54 deletions(-)
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index d86f44cf24a..f6353bfe0da 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -1321,60 +1321,6 @@
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[us.anthropic.claude-opus-5-v1:0-stream_full_usage]": [
"quota_management.spend_tracking.scripted_wire.logs_cost"
],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embedding-4-small-single]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embedding-4-small-batch]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embedding-4-small-token-array]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-embedding-4-large-dimensions]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-text-embedding-4-large-deployment]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[cohere-embed-v5]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-titan-embed-v3]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-cohere-embed-v4]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[vertex-text-embedding-006]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gemini-embedding-002]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[together-embedding-v1]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[fireworks-embedding-v1]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-completion-openai-basic]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-completion-openai-stream-usage]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[text-completion-openai-n-best]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[together-completions]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[omni-moderation-next-single]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[omni-moderation-next-list]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-text-embeddings-4-large-deployment]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
],
From 23f5df05f2b55f88aa39b6e58c6d57b3b46a3d95 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 21:03:51 +0000
Subject: [PATCH 077/246] test(integration): require a zero cost header to read
zero when the case bills nothing
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/cost_calculation/test_cost_tracking.py | 6 +++++-
1 file changed, 5 insertions(+), 1 deletion(-)
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index 6c1ac166196..3822b5cb3c6 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -92,7 +92,11 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert isinstance(expected, ExactExpected)
if case.response.content_type == "application/json":
header: Final = cast(str | None, response.headers.get("x-litellm-response-cost"))
- assert expected.spend == 0 or (header is not None and approx_equal(float(header), expected.spend)), (
+ assert (
+ (header is None or approx_equal(float(header), 0.0))
+ if expected.spend == 0
+ else (header is not None and approx_equal(float(header), expected.spend))
+ ), (
f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
)
assert row.spend is not None and approx_equal(row.spend, expected.spend), (
From c0c5cc84f8cbebea97883c720d816f4d16d5b181 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 21:19:29 +0000
Subject: [PATCH 078/246] test(integration): audio, image and per-unit cost
cases
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/_support/client.py | 15 +
tests/integration/_support/upstream.py | 6 +
tests/integration/contracts.json | 48 ++
.../integration/cost_calculation/conftest.py | 11 +-
.../cost_calculation/cost_tracking_case.py | 54 +-
.../cost_calculation/cost_tracking_cases.json | 589 ++++++++++++++++++
.../cost_calculation/test_cost_tracking.py | 186 ++++--
7 files changed, 836 insertions(+), 73 deletions(-)
diff --git a/tests/integration/_support/client.py b/tests/integration/_support/client.py
index 9f1118ab1e3..5d206c10f3d 100644
--- a/tests/integration/_support/client.py
+++ b/tests/integration/_support/client.py
@@ -67,6 +67,21 @@ class Gateway:
headers={"Authorization": f"Bearer {self.key if key is None else key}"},
)
+ def request_multipart(
+ self,
+ path: str,
+ fields: Mapping[str, str],
+ files: Mapping[str, tuple[str, bytes, str]],
+ *,
+ key: str | None = None,
+ ) -> httpx.Response:
+ return self.client.post(
+ path,
+ data=fields,
+ files=files,
+ headers={"Authorization": f"Bearer {self.key if key is None else key}"},
+ )
+
def post(self, path: str, body: Mapping[str, JsonValue], *, key: str | None = None) -> dict[str, JsonValue]:
response: Final = self.request("POST", path, body, key=key)
assert response.status_code == 200, f"POST {path}: {response.status_code} {response.text}"
diff --git a/tests/integration/_support/upstream.py b/tests/integration/_support/upstream.py
index a289589b2dc..22f6cdcde78 100644
--- a/tests/integration/_support/upstream.py
+++ b/tests/integration/_support/upstream.py
@@ -22,6 +22,7 @@ from starlette.routing import Route
from _fake_openai_endpoint_server import chat_completions, completions, embeddings, health, moderations
from integration.cost_calculation.cost_tracking_case import (
+ BinaryResponse,
EventStreamResponse,
JsonResponse,
SseResponse,
@@ -212,6 +213,11 @@ class Provider:
media_type=response.content_type,
status_code=response.status,
)
+ case BinaryResponse():
+ return Response(
+ content=b"\x00" * response.length,
+ media_type=response.content_type,
+ )
case SseResponse():
stream_body: Final = ("\n\n".join(response.frames) + "\n\n").replace(
"$REQUEST_ID", scenario_id
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index 338ace07908..927fc24f03b 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -1320,6 +1320,54 @@
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[us.anthropic.claude-opus-5-v1:0-stream_full_usage]": [
"quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[whisper-next-transcriptions-per-second]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[whisper-verbose-next-transcriptions-duration]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-4o-transcribe-next-transcriptions-tokens]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[nova-next-transcriptions-per-second]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-whisper-next-transcriptions-deployment]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[tts-next-speech-per-character]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[tts-next-hd-speech-per-character]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-tts-next-speech-deployment]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dall-e-3-next-images-standard]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dall-e-3-next-images-hd]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dall-e-3-next-images-wide]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dall-e-3-next-images-two]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-image-next-images-low]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[imagen-next-images-one]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[amazon-nova-canvas-next-images-one]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-image-next-images-edit]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
]
},
"browser": {
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index 166488e36a5..173d48b052d 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -45,9 +45,8 @@ class CostRow(BaseModel):
metadata: CostMetadata | None = None
@property
- def breakdown(self) -> CostBreakdown:
- assert self.metadata is not None and self.metadata.cost_breakdown is not None
- return self.metadata.cost_breakdown
+ def breakdown(self) -> CostBreakdown | None:
+ return self.metadata.cost_breakdown if self.metadata is not None else None
class FailureRow(BaseModel):
@@ -65,6 +64,8 @@ def approx_equal(actual: float, expected: float) -> bool:
def assert_total_is_sum_of_components(row: CostRow, context: str) -> None:
breakdown: Final = row.breakdown
+ if breakdown is None:
+ return
total: Final = sum(
cost or 0.0
for cost in (breakdown.input_cost, breakdown.output_cost, breakdown.tool_usage_cost)
@@ -83,7 +84,7 @@ def _row(value: Mapping[str, object]) -> CostRow | None:
metadata_value: Final = value.get("metadata")
metadata: Final = json.loads(metadata_value) if isinstance(metadata_value, str) else metadata_value
parsed: Final = CostRow.model_validate({**value, "metadata": metadata})
- return parsed if parsed.metadata and parsed.metadata.cost_breakdown else None
+ return parsed
def poll_cost_row(key: str) -> CostRow:
@@ -165,7 +166,7 @@ def register_scenario_deployment(
**case.litellm_params,
**(
{"vertex_credentials": _vertex_service_account_json(control_url)}
- if case.rates.litellm_provider == "vertex_ai-language-models"
+ if case.rates.litellm_provider.startswith("vertex_ai")
else {}
),
}
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index 9737508e27c..23180ad16ef 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -43,8 +43,15 @@ class CostMapEntry(BaseModel):
cache_creation_input_token_cost_above_200k_tokens: float | None = None
output_cost_per_reasoning_token: float | None = None
input_cost_per_audio_token: float | None = None
+ input_cost_per_second: float | None = None
+ output_cost_per_second: float | None = None
+ input_cost_per_character: float | None = None
+ output_cost_per_character: float | None = None
+ input_cost_per_image: float | None = None
+ output_cost_per_image: float | None = None
output_cost_per_audio_token: float | None = None
input_cost_per_image_token: float | None = None
+ output_cost_per_image_token: float | None = None
input_cost_per_video_token: float | None = None
input_cost_per_token_above_200k_tokens: float | None = None
output_cost_per_token_above_200k_tokens: float | None = None
@@ -66,6 +73,22 @@ class Deployment(BaseModel):
base_model: str | None = None
+class WavUpload(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ kind: Literal["wav"]
+ seconds: float
+
+
+class PngUpload(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ kind: Literal["png"]
+
+
+Upload: TypeAlias = Annotated[WavUpload | PngUpload, Field(discriminator="kind")]
+
+
class JsonResponse(BaseModel):
model_config = ConfigDict(frozen=True, extra="forbid")
@@ -95,8 +118,15 @@ class EventStreamResponse(BaseModel):
events: tuple[EventStreamEvent, ...]
+class BinaryResponse(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ content_type: Literal["audio/mpeg"]
+ length: int
+
+
StoredResponse: TypeAlias = Annotated[
- JsonResponse | SseResponse | EventStreamResponse,
+ JsonResponse | SseResponse | EventStreamResponse | BinaryResponse,
Field(discriminator="content_type"),
]
@@ -157,8 +187,13 @@ class CostTrackingTestCase(BaseModel):
"/v1/rerank",
"/v1/completions",
"/v1/moderations",
+ "/v1/audio/transcriptions",
+ "/v1/audio/speech",
+ "/v1/images/generations",
+ "/v1/images/edits",
] = "/v1/chat/completions"
deployment: Deployment | None = None
+ upload: Upload | None = None
request: dict[str, JsonValue]
response: StoredResponse
expected: Expected
@@ -172,7 +207,8 @@ class CostTrackingTestCase(BaseModel):
provider: Final = self.rates.litellm_provider
prefix: Final = (
"openai"
- if provider == "openai" and self.rates.mode == "chat"
+ if provider == "openai"
+ and self.rates.mode in {"chat", "audio_transcription", "audio_speech", "image_generation"}
else "openai/responses"
if provider == "openai"
else _PROVIDER_PREFIXES.get(provider)
@@ -206,8 +242,11 @@ class _CasesFile(BaseModel):
_PROVIDER_PREFIXES: Final[Mapping[str, str]] = MappingProxyType(
{
"anthropic": "anthropic",
+ "bedrock": "bedrock",
"bedrock_converse": "bedrock/converse",
+ "deepgram": "deepgram",
"vertex_ai-language-models": "vertex_ai",
+ "vertex_ai-image-models": "vertex_ai",
"gemini": "",
"together_ai": "",
"fireworks_ai": "",
@@ -217,6 +256,13 @@ _PROVIDER_PREFIXES: Final[Mapping[str, str]] = MappingProxyType(
_LITELLM_PARAMS: Final[Mapping[str, Mapping[str, str]]] = MappingProxyType(
{
"anthropic": MappingProxyType({}),
+ "bedrock": MappingProxyType(
+ {
+ "aws_access_key_id": "AKIASCRIPTEDPROVIDER",
+ "aws_secret_access_key": "scripted-secret",
+ "aws_region_name": "us-east-1",
+ }
+ ),
"bedrock_converse": MappingProxyType(
{
"aws_access_key_id": "AKIASCRIPTEDPROVIDER",
@@ -224,9 +270,13 @@ _LITELLM_PARAMS: Final[Mapping[str, Mapping[str, str]]] = MappingProxyType(
"aws_region_name": "us-east-1",
}
),
+ "deepgram": MappingProxyType({}),
"vertex_ai-language-models": MappingProxyType(
{"vertex_project": "cc-scripted-project", "vertex_location": "us-central1"}
),
+ "vertex_ai-image-models": MappingProxyType(
+ {"vertex_project": "cc-scripted-project", "vertex_location": "us-central1"}
+ ),
"gemini": MappingProxyType({}),
"together_ai": MappingProxyType({}),
"fireworks_ai": MappingProxyType({}),
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index b0ad270f860..40f9c7a6762 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -408,6 +408,89 @@
"mode": "chat",
"output_cost_per_token": 3.6e-06,
"supports_function_calling": true
+ },
+ "whisper-next": {
+ "litellm_provider": "openai",
+ "mode": "audio_transcription",
+ "input_cost_per_second": 0.0001
+ },
+ "whisper-verbose-next": {
+ "litellm_provider": "openai",
+ "mode": "audio_transcription",
+ "input_cost_per_second": 0.0002
+ },
+ "gpt-4o-transcribe-next": {
+ "litellm_provider": "openai",
+ "mode": "audio_transcription",
+ "input_cost_per_token": 2.11e-06,
+ "output_cost_per_token": 3.11e-06,
+ "input_cost_per_audio_token": 1e-05
+ },
+ "nova-next": {
+ "litellm_provider": "deepgram",
+ "mode": "audio_transcription",
+ "input_cost_per_second": 0.0003
+ },
+ "azure/whisper-next": {
+ "litellm_provider": "azure",
+ "mode": "audio_transcription",
+ "input_cost_per_second": 0.00011
+ },
+ "tts-next": {
+ "litellm_provider": "openai",
+ "mode": "audio_speech",
+ "input_cost_per_character": 1e-05
+ },
+ "tts-next-hd": {
+ "litellm_provider": "openai",
+ "mode": "audio_speech",
+ "input_cost_per_character": 2e-05
+ },
+ "azure/tts-next": {
+ "litellm_provider": "azure",
+ "mode": "audio_speech",
+ "input_cost_per_character": 1.1e-05
+ },
+ "gpt-image-next": {
+ "litellm_provider": "openai",
+ "mode": "image_generation",
+ "input_cost_per_token": 1.71e-06,
+ "output_cost_per_token": 4.3e-06,
+ "input_cost_per_image_token": 2.2e-06,
+ "output_cost_per_image_token": 5.1e-06
+ },
+ "1024-x-1024/dall-e-3-next": {
+ "litellm_provider": "openai",
+ "mode": "image_generation",
+ "input_cost_per_image": 0.04
+ },
+ "hd/1024-x-1024/dall-e-3-next": {
+ "litellm_provider": "openai",
+ "mode": "image_generation",
+ "input_cost_per_image": 0.08
+ },
+ "1792-x-1024/dall-e-3-next": {
+ "litellm_provider": "openai",
+ "mode": "image_generation",
+ "input_cost_per_image": 0.06
+ },
+ "low/1024-x-1024/gpt-image-next": {
+ "litellm_provider": "openai",
+ "mode": "image_generation",
+ "input_cost_per_token": 1.7e-06,
+ "output_cost_per_token": 4.3e-06,
+ "input_cost_per_image_token": 2.2e-06,
+ "output_cost_per_image_token": 5.1e-06
+ },
+ "1024-x-1024/imagen-next": {
+ "litellm_provider": "vertex_ai-image-models",
+ "mode": "image_generation",
+ "output_cost_per_image": 0.05
+ },
+ "amazon.nova-canvas-next": {
+ "litellm_provider": "bedrock",
+ "mode": "image_generation",
+ "output_cost_per_image": 0.045
}
},
"cases": [
@@ -25777,6 +25860,512 @@
"prompt_tokens": 11056,
"completion_tokens": 412
}
+ },
+ {
+ "name": "whisper-next-transcriptions-per-second",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "whisper-next",
+ "endpoint": "/v1/audio/transcriptions",
+ "upload": {
+ "kind": "wav",
+ "seconds": 3.5
+ },
+ "request": {
+ "language": "en",
+ "response_format": "json"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "text": "hello"
+ }
+ },
+ "expected": {
+ "spend": 0.00035,
+ "input_cost": 0.00035,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "whisper-verbose-next-transcriptions-duration",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "whisper-verbose-next",
+ "endpoint": "/v1/audio/transcriptions",
+ "upload": {
+ "kind": "wav",
+ "seconds": 3.5
+ },
+ "request": {
+ "response_format": "verbose_json"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "text": "hello",
+ "duration": 12.25
+ }
+ },
+ "expected": {
+ "spend": 0.00245,
+ "input_cost": 0.00245,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "gpt-4o-transcribe-next-transcriptions-tokens",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-4o-transcribe-next",
+ "endpoint": "/v1/audio/transcriptions",
+ "upload": {
+ "kind": "wav",
+ "seconds": 1.0
+ },
+ "request": {
+ "response_format": "json"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "text": "hello",
+ "usage": {
+ "type": "tokens",
+ "input_tokens": 10,
+ "output_tokens": 2,
+ "total_tokens": 12,
+ "input_token_details": {
+ "text_tokens": 2,
+ "audio_tokens": 8
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 9.044e-05,
+ "input_cost": 8.422e-05,
+ "output_cost": 6.22e-06,
+ "prompt_tokens": 10,
+ "completion_tokens": 2
+ }
+ },
+ {
+ "name": "nova-next-transcriptions-per-second",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "nova-next",
+ "endpoint": "/v1/audio/transcriptions",
+ "upload": {
+ "kind": "wav",
+ "seconds": 4.0
+ },
+ "request": {},
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "results": {
+ "channels": [
+ {
+ "alternatives": [
+ {
+ "transcript": "hello",
+ "confidence": 0.9
+ }
+ ]
+ }
+ ]
+ },
+ "metadata": {
+ "duration": 4.0,
+ "channels": 1
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0012,
+ "input_cost": 0.0012,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "azure-whisper-next-transcriptions-deployment",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "azure/whisper-next",
+ "endpoint": "/v1/audio/transcriptions",
+ "deployment": {
+ "model": "azure/cc-whisper-deployment",
+ "base_model": "azure/whisper-next"
+ },
+ "upload": {
+ "kind": "wav",
+ "seconds": 3.5
+ },
+ "request": {
+ "response_format": "json"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "text": "hello"
+ }
+ },
+ "expected": {
+ "spend": 0.000385,
+ "input_cost": 0.000385,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "tts-next-speech-per-character",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "tts-next",
+ "endpoint": "/v1/audio/speech",
+ "request": {
+ "input": "hello world",
+ "voice": "alloy",
+ "response_format": "mp3"
+ },
+ "response": {
+ "content_type": "audio/mpeg",
+ "length": 2048
+ },
+ "expected": {
+ "spend": 0.0001,
+ "input_cost": 0.0001,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "tts-next-hd-speech-per-character",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "tts-next-hd",
+ "endpoint": "/v1/audio/speech",
+ "request": {
+ "input": "hello world",
+ "voice": "alloy",
+ "response_format": "mp3"
+ },
+ "response": {
+ "content_type": "audio/mpeg",
+ "length": 2048
+ },
+ "expected": {
+ "spend": 0.0002,
+ "input_cost": 0.0002,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "azure-tts-next-speech-deployment",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "azure/tts-next",
+ "endpoint": "/v1/audio/speech",
+ "deployment": {
+ "model": "azure/cc-tts-deployment",
+ "base_model": "azure/tts-next"
+ },
+ "request": {
+ "input": "hello world",
+ "voice": "alloy",
+ "response_format": "mp3"
+ },
+ "response": {
+ "content_type": "audio/mpeg",
+ "length": 2048
+ },
+ "expected": {
+ "spend": 0.00011,
+ "input_cost": 0.00011,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "dall-e-3-next-images-standard",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "1024-x-1024/dall-e-3-next",
+ "endpoint": "/v1/images/generations",
+ "deployment": {
+ "model": "openai/dall-e-3-next"
+ },
+ "request": {
+ "prompt": "a deterministic square",
+ "size": "1024x1024",
+ "quality": "standard",
+ "n": 1
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "created": 1700000000,
+ "data": [
+ {
+ "url": "https://x/1.png"
+ }
+ ]
+ }
+ },
+ "expected": {
+ "spend": 0.04,
+ "input_cost": 0.04,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "dall-e-3-next-images-hd",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "hd/1024-x-1024/dall-e-3-next",
+ "endpoint": "/v1/images/generations",
+ "deployment": {
+ "model": "openai/dall-e-3-next"
+ },
+ "request": {
+ "prompt": "a deterministic square",
+ "size": "1024x1024",
+ "quality": "hd",
+ "n": 1
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "created": 1700000001,
+ "data": [
+ {
+ "url": "https://x/1.png"
+ }
+ ]
+ }
+ },
+ "expected": {
+ "spend": 0.08,
+ "input_cost": 0.08,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "dall-e-3-next-images-wide",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "1792-x-1024/dall-e-3-next",
+ "endpoint": "/v1/images/generations",
+ "deployment": {
+ "model": "openai/dall-e-3-next"
+ },
+ "request": {
+ "prompt": "a deterministic wide image",
+ "size": "1792x1024",
+ "quality": "standard",
+ "n": 1
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "created": 1700000002,
+ "data": [
+ {
+ "url": "https://x/1.png"
+ }
+ ]
+ }
+ },
+ "expected": {
+ "spend": 0.06,
+ "input_cost": 0.06,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "dall-e-3-next-images-two",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "1024-x-1024/dall-e-3-next",
+ "endpoint": "/v1/images/generations",
+ "deployment": {
+ "model": "openai/dall-e-3-next"
+ },
+ "request": {
+ "prompt": "two deterministic squares",
+ "size": "1024x1024",
+ "quality": "standard",
+ "n": 2
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "created": 1700000003,
+ "data": [
+ {
+ "url": "https://x/1.png"
+ },
+ {
+ "url": "https://x/2.png"
+ }
+ ]
+ }
+ },
+ "expected": {
+ "spend": 0.08,
+ "input_cost": 0.08,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "gpt-image-next-images-low",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-image-next",
+ "endpoint": "/v1/images/generations",
+ "deployment": {
+ "model": "openai/gpt-image-next"
+ },
+ "request": {
+ "prompt": "a deterministic generated image",
+ "size": "1024x1024",
+ "quality": "low",
+ "n": 1
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "created": 1700000004,
+ "data": [
+ {
+ "b64_json": "AA=="
+ }
+ ],
+ "usage": {
+ "total_tokens": 30,
+ "input_tokens": 10,
+ "output_tokens": 20,
+ "input_tokens_details": {
+ "text_tokens": 10,
+ "image_tokens": 0
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0001191,
+ "input_cost": 1.71e-05,
+ "output_cost": 0.000102,
+ "prompt_tokens": 10,
+ "completion_tokens": 20
+ }
+ },
+ {
+ "name": "imagen-next-images-one",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "1024-x-1024/imagen-next",
+ "endpoint": "/v1/images/generations",
+ "request": {
+ "prompt": "a deterministic vertex image",
+ "sampleCount": 1
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "predictions": [
+ {
+ "bytesBase64Encoded": "AA==",
+ "mimeType": "image/png"
+ }
+ ]
+ }
+ },
+ "expected": {
+ "spend": 0.05,
+ "input_cost": 0.05,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "amazon-nova-canvas-next-images-one",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "amazon.nova-canvas-next",
+ "endpoint": "/v1/images/generations",
+ "deployment": {
+ "model": "amazon.nova-canvas-next"
+ },
+ "request": {
+ "prompt": "a deterministic bedrock image"
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "images": [
+ "AA=="
+ ]
+ }
+ },
+ "expected": {
+ "spend": 0.045,
+ "input_cost": 0.045,
+ "output_cost": 0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0
+ }
+ },
+ {
+ "name": "gpt-image-next-images-edit",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "low/1024-x-1024/gpt-image-next",
+ "endpoint": "/v1/images/edits",
+ "deployment": {
+ "model": "openai/gpt-image-next"
+ },
+ "upload": {
+ "kind": "png"
+ },
+ "request": {
+ "prompt": "edit this deterministic image",
+ "size": "1024x1024",
+ "quality": "low",
+ "n": 1
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "created": 1700000005,
+ "data": [
+ {
+ "b64_json": "AA=="
+ }
+ ],
+ "usage": {
+ "total_tokens": 30,
+ "input_tokens": 10,
+ "output_tokens": 20,
+ "input_tokens_details": {
+ "text_tokens": 10,
+ "image_tokens": 0
+ }
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.000119,
+ "input_cost": 1.7e-05,
+ "output_cost": 0.000102,
+ "prompt_tokens": 10,
+ "completion_tokens": 20
+ }
}
]
}
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index 5b876974c63..944d903625b 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -2,9 +2,15 @@
from __future__ import annotations
+import io
+import json
from hashlib import sha256
+import struct
from typing import Final, cast
+import wave
+import zlib
+import httpx
import pytest
from integration._support.client import JSON_OBJECT, Gateway
@@ -16,6 +22,7 @@ from integration.cost_calculation.conftest import (
register_scenario_deployment,
)
from integration.cost_calculation.cost_tracking_case import (
+ BinaryResponse,
CASES,
CostTrackingTestCase,
ExactExpected,
@@ -34,6 +41,47 @@ _CASES: Final = tuple(
)
+def _wav_bytes(seconds: float) -> bytes:
+ frame_count: Final = round(16000 * seconds)
+ output: Final = io.BytesIO()
+ with wave.open(output, "wb") as wav:
+ wav.setnchannels(1)
+ wav.setsampwidth(2)
+ wav.setframerate(16000)
+ wav.writeframes(b"\x00\x00" * frame_count)
+ return output.getvalue()
+
+
+def _png_bytes() -> bytes:
+ def chunk(kind: bytes, payload: bytes) -> bytes:
+ return (
+ struct.pack(">I", len(payload))
+ + kind
+ + payload
+ + struct.pack(">I", zlib.crc32(kind + payload) & 0xFFFFFFFF)
+ )
+
+ return (
+ b"\x89PNG\r\n\x1a\n"
+ + chunk(b"IHDR", struct.pack(">IIBBBBB", 1, 1, 8, 6, 0, 0, 0))
+ + chunk(b"IDAT", zlib.compress(b"\x00\x00\x00\x00\x00"))
+ + chunk(b"IEND", b"")
+ )
+
+
+def _multipart_request(gateway: Gateway, case: CostTrackingTestCase, model_name: str, key: str) -> httpx.Response:
+ assert case.upload is not None
+ fields: Final = {
+ field: value if isinstance(value, str) else json.dumps(value, separators=(",", ":"))
+ for field, value in {**case.request, "model": model_name}.items()
+ }
+ if case.upload.kind == "wav":
+ files: Final = {"file": ("audio.wav", _wav_bytes(case.upload.seconds), "audio/wav")}
+ else:
+ files = {"image": ("image.png", _png_bytes(), "image/png")}
+ return gateway.request_multipart(case.endpoint, fields, files, key=key)
+
+
def _assert_stream_has_no_error(response_text: str) -> None:
for line in response_text.splitlines():
if not line.startswith("data:"):
@@ -51,11 +99,10 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
with gateway.scenario() as scenario:
key: Final = scenario.key()
model_name: Final = register_scenario_deployment(scenario, case, marker, key)
- response: Final = gateway.request(
- "POST",
- case.endpoint,
- {**case.request, "model": model_name},
- key=key,
+ response: Final = (
+ _multipart_request(gateway, case, model_name, key)
+ if case.upload is not None
+ else gateway.request("POST", case.endpoint, {**case.request, "model": model_name}, key=key)
)
if isinstance(case.expected, FailureExpected):
assert response.status_code == case.expected.failure.status, (
@@ -90,7 +137,13 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
return
expected: Final = case.expected
assert isinstance(expected, ExactExpected)
- if case.response.content_type == "application/json":
+ if isinstance(case.response, BinaryResponse):
+ header: Final = response.headers.get("x-litellm-response-cost")
+ if header is not None:
+ assert approx_equal(float(header), expected.spend), (
+ f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
+ )
+ elif case.response.content_type == "application/json":
header: Final = cast(str | None, response.headers.get("x-litellm-response-cost"))
assert header is not None and approx_equal(float(header), expected.spend), (
f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
@@ -100,68 +153,69 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
f"(breakdown {row.breakdown.model_dump()})"
)
breakdown: Final = row.breakdown
- assert breakdown.input_cost is not None and approx_equal(breakdown.input_cost, expected.input_cost), (
- f"{case.name}: input_cost {breakdown.input_cost} != expected {expected.input_cost}"
- )
- assert breakdown.output_cost is not None and approx_equal(breakdown.output_cost, expected.output_cost), (
- f"{case.name}: output_cost {breakdown.output_cost} != expected {expected.output_cost}"
- )
- for field, header_name, actual_component, expected_component in (
- (
- "cache_read_cost",
- "x-litellm-response-cost-cache-read",
- breakdown.cache_read_cost,
- expected.cache_read_cost,
- ),
- (
- "cache_creation_cost",
- "x-litellm-response-cost-cache-creation",
- breakdown.cache_creation_cost,
- expected.cache_creation_cost,
- ),
- (
- "reasoning_cost",
- "x-litellm-response-cost-reasoning",
- breakdown.reasoning_cost,
- expected.reasoning_cost,
- ),
- (
- "tool_usage_cost",
- "x-litellm-response-cost-tool-usage",
- breakdown.tool_usage_cost,
- expected.tool_usage_cost,
- ),
- ):
- if expected_component is None:
- continue
- assert actual_component is not None and approx_equal(actual_component, expected_component), (
- f"{case.name}: {field} {actual_component} != expected {expected_component}"
+ if breakdown is not None:
+ assert breakdown.input_cost is not None and approx_equal(breakdown.input_cost, expected.input_cost), (
+ f"{case.name}: input_cost {breakdown.input_cost} != expected {expected.input_cost}"
)
- if case.response.content_type == "application/json":
- header: Final = response.headers.get(header_name)
- assert header is not None and approx_equal(float(header), expected_component), (
- f"{case.name}: {header_name} {header} != expected {expected_component}"
+ assert breakdown.output_cost is not None and approx_equal(breakdown.output_cost, expected.output_cost), (
+ f"{case.name}: output_cost {breakdown.output_cost} != expected {expected.output_cost}"
+ )
+ for field, header_name, actual_component, expected_component in (
+ (
+ "cache_read_cost",
+ "x-litellm-response-cost-cache-read",
+ breakdown.cache_read_cost,
+ expected.cache_read_cost,
+ ),
+ (
+ "cache_creation_cost",
+ "x-litellm-response-cost-cache-creation",
+ breakdown.cache_creation_cost,
+ expected.cache_creation_cost,
+ ),
+ (
+ "reasoning_cost",
+ "x-litellm-response-cost-reasoning",
+ breakdown.reasoning_cost,
+ expected.reasoning_cost,
+ ),
+ (
+ "tool_usage_cost",
+ "x-litellm-response-cost-tool-usage",
+ breakdown.tool_usage_cost,
+ expected.tool_usage_cost,
+ ),
+ ):
+ if expected_component is None:
+ continue
+ assert actual_component is not None and approx_equal(actual_component, expected_component), (
+ f"{case.name}: {field} {actual_component} != expected {expected_component}"
+ )
+ if case.response.content_type == "application/json":
+ header: Final = response.headers.get(header_name)
+ assert header is not None and approx_equal(float(header), expected_component), (
+ f"{case.name}: {header_name} {header} != expected {expected_component}"
+ )
+ if case.response.content_type == "application/json" and any(
+ component is not None
+ for component in (
+ expected.cache_read_cost,
+ expected.cache_creation_cost,
+ expected.reasoning_cost,
+ expected.tool_usage_cost,
+ )
+ ):
+ input_header: Final = response.headers.get("x-litellm-response-cost-input")
+ output_header: Final = response.headers.get("x-litellm-response-cost-output")
+ expected_input_header: Final = expected.input_cost - (
+ expected.cache_read_cost or 0.0
+ ) - (expected.cache_creation_cost or 0.0)
+ assert input_header is not None and approx_equal(float(input_header), expected_input_header), (
+ f"{case.name}: x-litellm-response-cost-input {input_header} != expected {expected_input_header}"
+ )
+ assert output_header is not None and approx_equal(float(output_header), expected.output_cost), (
+ f"{case.name}: x-litellm-response-cost-output {output_header} != expected {expected.output_cost}"
)
- if case.response.content_type == "application/json" and any(
- component is not None
- for component in (
- expected.cache_read_cost,
- expected.cache_creation_cost,
- expected.reasoning_cost,
- expected.tool_usage_cost,
- )
- ):
- input_header: Final = response.headers.get("x-litellm-response-cost-input")
- output_header: Final = response.headers.get("x-litellm-response-cost-output")
- expected_input_header: Final = expected.input_cost - (
- expected.cache_read_cost or 0.0
- ) - (expected.cache_creation_cost or 0.0)
- assert input_header is not None and approx_equal(float(input_header), expected_input_header), (
- f"{case.name}: x-litellm-response-cost-input {input_header} != expected {expected_input_header}"
- )
- assert output_header is not None and approx_equal(float(output_header), expected.output_cost), (
- f"{case.name}: x-litellm-response-cost-output {output_header} != expected {expected.output_cost}"
- )
assert row.prompt_tokens == expected.prompt_tokens, (
f"{case.name}: prompt_tokens {row.prompt_tokens} != expected {expected.prompt_tokens}"
)
From e768f25983e92bb995bc97a3cdef4140c8b51269 Mon Sep 17 00:00:00 2001
From: Yucheng He
Date: Sat, 19 Sep 2026 14:24:05 -0700
Subject: [PATCH 079/246] test(mcp): cover lazy discovery and empty configured
scopes
---
.../mcp_server/test_mcp_server_manager.py | 46 +++++++++++++------
.../test_mcp_management_endpoints.py | 8 ++++
2 files changed, 41 insertions(+), 13 deletions(-)
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py
index 6b51cc342a5..4e306023c2c 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py
@@ -10564,6 +10564,7 @@ async def test_management_view_omits_invalid_or_absent_db_scopes(
@pytest.mark.asyncio
+@pytest.mark.parametrize("discovery_on_startup", [True, False])
@pytest.mark.parametrize(
("stored_scopes", "runtime_scopes"),
[
@@ -10576,6 +10577,7 @@ async def test_management_view_omits_invalid_or_absent_db_scopes(
async def test_management_view_serves_explicitly_configured_scopes_from_db(
stored_scopes: list[str],
runtime_scopes: list[str],
+ discovery_on_startup: bool,
respx_mock: MockRouter,
monkeypatch: pytest.MonkeyPatch,
) -> None:
@@ -10591,20 +10593,34 @@ async def test_management_view_serves_explicitly_configured_scopes_from_db(
updated_at=datetime.now(),
)
await _mock_oauth_discovery(respx_mock, monkeypatch, server_url=row.url or "", scopes=["discovered.read"])
- env: Final[dict[str, str]] = {"LITELLM_MCP_OAUTH_DISCOVERY_ON_STARTUP": "1"}
+ env: Final[dict[str, str]] = {"LITELLM_MCP_OAUTH_DISCOVERY_ON_STARTUP": "1"} if discovery_on_startup else {}
with patch.dict(os.environ, env, clear=True):
manager: Final[MCPServerManager] = MCPServerManager()
built: Final[MCPServer] = await manager.build_mcp_server_from_table(row, credentials_are_encrypted=False)
+ manager.registry[built.server_id] = built
+ resolved: Final[MCPServer] = await manager.ensure_oauth_metadata_discovered(built)
- assert built.scopes == runtime_scopes
- view: Final[LiteLLM_MCPServerTable] = manager._build_mcp_server_table(built)
+ assert resolved.scopes == runtime_scopes
+ view: Final[LiteLLM_MCPServerTable] = manager._build_mcp_server_table(resolved)
assert view.credentials == {"scopes": stored_scopes}
@pytest.mark.asyncio
-@pytest.mark.parametrize("configured_scopes", [None, ["calendar.read"]])
+@pytest.mark.parametrize("discovery_on_startup", [True, False])
+@pytest.mark.parametrize(
+ ("configured_scopes", "expected_view_scopes"),
+ [
+ (None, None),
+ (["calendar.read"], ["calendar.read"]),
+ ([" "], None),
+ ([""], None),
+ (["calendar.read", " "], ["calendar.read"]),
+ ],
+)
async def test_management_view_scopes_follow_yaml_config_not_discovery(
configured_scopes: list[str] | None,
+ expected_view_scopes: list[str] | None,
+ discovery_on_startup: bool,
respx_mock: MockRouter,
monkeypatch: pytest.MonkeyPatch,
) -> None:
@@ -10616,20 +10632,22 @@ async def test_management_view_scopes_follow_yaml_config_not_discovery(
"oauth2_flow": "authorization_code",
"client_id": "cid",
"client_secret": "csec",
- **({"scopes": configured_scopes} if configured_scopes else {}),
+ **({"scopes": configured_scopes} if configured_scopes is not None else {}),
}
}
- await _mock_oauth_discovery(respx_mock, monkeypatch, server_url="https://up.example.com/mcp", scopes=["discovered.read"])
- env: Final[dict[str, str]] = {"LITELLM_MCP_OAUTH_DISCOVERY_ON_STARTUP": "1"}
+ await _mock_oauth_discovery(
+ respx_mock, monkeypatch, server_url="https://up.example.com/mcp", scopes=["discovered.read"]
+ )
+ env: Final[dict[str, str]] = {"LITELLM_MCP_OAUTH_DISCOVERY_ON_STARTUP": "1"} if discovery_on_startup else {}
with patch.dict(os.environ, env, clear=True):
manager: Final[MCPServerManager] = MCPServerManager()
await manager.load_servers_from_config(config)
+ server: Final[MCPServer] = next(iter(manager.config_mcp_servers.values()))
+ resolved: Final[MCPServer] = await manager.ensure_oauth_metadata_discovered(server)
- server: Final[MCPServer] = next(iter(manager.config_mcp_servers.values()))
- expected_runtime: Final[list[str]] = configured_scopes or ["discovered.read"]
- assert server.scopes == expected_runtime
- view: Final[LiteLLM_MCPServerTable] = manager._build_mcp_server_table(server)
- assert view.credentials == ({"scopes": configured_scopes} if configured_scopes else None)
+ assert resolved.scopes == (expected_view_scopes or ["discovered.read"])
+ view: Final[LiteLLM_MCPServerTable] = manager._build_mcp_server_table(resolved)
+ assert view.credentials == ({"scopes": expected_view_scopes} if expected_view_scopes else None)
@pytest.mark.asyncio
@@ -10647,7 +10665,9 @@ async def test_lazy_yaml_discovery_keeps_configured_scopes_out_of_the_management
"client_secret": "csec",
}
}
- await _mock_oauth_discovery(respx_mock, monkeypatch, server_url="https://up.example.com/mcp", scopes=["discovered.read"])
+ await _mock_oauth_discovery(
+ respx_mock, monkeypatch, server_url="https://up.example.com/mcp", scopes=["discovered.read"]
+ )
with patch.dict(os.environ, {}, clear=True):
manager: Final[MCPServerManager] = MCPServerManager()
await manager.load_servers_from_config(config)
diff --git a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
index 3d2487ec6ca..80773f314d8 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
@@ -881,6 +881,14 @@ class TestListMCPServers:
'"upstream_token_header": "esb-oauth"}',
{"scopes": ["read", "write"], "upstream_token_header": "esb-oauth"},
),
+ (
+ {"client_id": "cid", "client_secret": "csecret", "scopes": []},
+ None,
+ ),
+ (
+ '{"client_id": "cid", "client_secret": "csecret", "scopes": []}',
+ None,
+ ),
(
{"client_id": "cid", "client_secret": "csecret", "scopes": ["read", ""]},
None,
From 5b97d98b7b43136e8192786e5a3fd910ed3229be Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 21:24:56 +0000
Subject: [PATCH 080/246] test(integration): require persisted cost breakdowns
unless a case opts out
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../integration/cost_calculation/conftest.py | 11 +-
.../cost_calculation/cost_tracking_case.py | 1 +
.../cost_calculation/cost_tracking_cases.json | 24 ++-
.../cost_calculation/test_cost_tracking.py | 145 ++++++++++--------
4 files changed, 102 insertions(+), 79 deletions(-)
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index 173d48b052d..4d4c7b6356a 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -40,6 +40,7 @@ class CostRow(BaseModel):
model_config = ConfigDict(extra="ignore")
spend: float | None = None
+ status: str | None = None
prompt_tokens: int | None = None
completion_tokens: int | None = None
metadata: CostMetadata | None = None
@@ -62,10 +63,7 @@ def approx_equal(actual: float, expected: float) -> bool:
return abs(actual - expected) <= max(1e-9, abs(expected) * 1e-2)
-def assert_total_is_sum_of_components(row: CostRow, context: str) -> None:
- breakdown: Final = row.breakdown
- if breakdown is None:
- return
+def assert_total_is_sum_of_components(row: CostRow, breakdown: CostBreakdown, context: str) -> None:
total: Final = sum(
cost or 0.0
for cost in (breakdown.input_cost, breakdown.output_cost, breakdown.tool_usage_cost)
@@ -84,7 +82,7 @@ def _row(value: Mapping[str, object]) -> CostRow | None:
metadata_value: Final = value.get("metadata")
metadata: Final = json.loads(metadata_value) if isinstance(metadata_value, str) else metadata_value
parsed: Final = CostRow.model_validate({**value, "metadata": metadata})
- return parsed
+ return parsed if parsed.metadata is not None or (parsed.spend is not None and parsed.status is not None) else None
def poll_cost_row(key: str) -> CostRow:
@@ -92,7 +90,8 @@ def poll_cost_row(key: str) -> CostRow:
def read() -> CostRow | None:
rows: Final = read_rows(
- 'SELECT spend, metadata, prompt_tokens, completion_tokens FROM "LiteLLM_SpendLogs" WHERE api_key=%s',
+ 'SELECT spend, status, metadata, prompt_tokens, completion_tokens '
+ 'FROM "LiteLLM_SpendLogs" WHERE api_key=%s',
(digest,),
)
return next((parsed for row in rows if (parsed := _row(row)) is not None), None)
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index 23180ad16ef..376477f44f1 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -143,6 +143,7 @@ class ExactExpected(BaseModel):
cache_creation_cost: float | None = None
reasoning_cost: float | None = None
tool_usage_cost: float | None = None
+ breakdown_persisted: bool = True
class RecountRates(BaseModel):
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index 40f9c7a6762..b7da4642cc8 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -26120,7 +26120,8 @@
"input_cost": 0.04,
"output_cost": 0,
"prompt_tokens": 0,
- "completion_tokens": 0
+ "completion_tokens": 0,
+ "breakdown_persisted": false
}
},
{
@@ -26153,7 +26154,8 @@
"input_cost": 0.08,
"output_cost": 0,
"prompt_tokens": 0,
- "completion_tokens": 0
+ "completion_tokens": 0,
+ "breakdown_persisted": false
}
},
{
@@ -26186,7 +26188,8 @@
"input_cost": 0.06,
"output_cost": 0,
"prompt_tokens": 0,
- "completion_tokens": 0
+ "completion_tokens": 0,
+ "breakdown_persisted": false
}
},
{
@@ -26222,7 +26225,8 @@
"input_cost": 0.08,
"output_cost": 0,
"prompt_tokens": 0,
- "completion_tokens": 0
+ "completion_tokens": 0,
+ "breakdown_persisted": false
}
},
{
@@ -26264,7 +26268,8 @@
"input_cost": 1.71e-05,
"output_cost": 0.000102,
"prompt_tokens": 10,
- "completion_tokens": 20
+ "completion_tokens": 20,
+ "breakdown_persisted": false
}
},
{
@@ -26292,7 +26297,8 @@
"input_cost": 0.05,
"output_cost": 0,
"prompt_tokens": 0,
- "completion_tokens": 0
+ "completion_tokens": 0,
+ "breakdown_persisted": false
}
},
{
@@ -26319,7 +26325,8 @@
"input_cost": 0.045,
"output_cost": 0,
"prompt_tokens": 0,
- "completion_tokens": 0
+ "completion_tokens": 0,
+ "breakdown_persisted": false
}
},
{
@@ -26364,7 +26371,8 @@
"input_cost": 1.7e-05,
"output_cost": 0.000102,
"prompt_tokens": 10,
- "completion_tokens": 20
+ "completion_tokens": 20,
+ "breakdown_persisted": false
}
}
]
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index 944d903625b..3e314c66b74 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -15,6 +15,7 @@ import pytest
from integration._support.client import JSON_OBJECT, Gateway
from integration.cost_calculation.conftest import (
+ CostBreakdown,
approx_equal,
assert_total_is_sum_of_components,
poll_cost_row,
@@ -93,6 +94,76 @@ def _assert_stream_has_no_error(response_text: str) -> None:
assert "error" not in parsed, f"stream carried an error event: {parsed}"
+def _assert_breakdown(
+ case: CostTrackingTestCase,
+ expected: ExactExpected,
+ breakdown: CostBreakdown,
+ response: httpx.Response,
+) -> None:
+ assert breakdown.input_cost is not None and approx_equal(breakdown.input_cost, expected.input_cost), (
+ f"{case.name}: input_cost {breakdown.input_cost} != expected {expected.input_cost}"
+ )
+ assert breakdown.output_cost is not None and approx_equal(breakdown.output_cost, expected.output_cost), (
+ f"{case.name}: output_cost {breakdown.output_cost} != expected {expected.output_cost}"
+ )
+ for field, header_name, actual_component, expected_component in (
+ (
+ "cache_read_cost",
+ "x-litellm-response-cost-cache-read",
+ breakdown.cache_read_cost,
+ expected.cache_read_cost,
+ ),
+ (
+ "cache_creation_cost",
+ "x-litellm-response-cost-cache-creation",
+ breakdown.cache_creation_cost,
+ expected.cache_creation_cost,
+ ),
+ (
+ "reasoning_cost",
+ "x-litellm-response-cost-reasoning",
+ breakdown.reasoning_cost,
+ expected.reasoning_cost,
+ ),
+ (
+ "tool_usage_cost",
+ "x-litellm-response-cost-tool-usage",
+ breakdown.tool_usage_cost,
+ expected.tool_usage_cost,
+ ),
+ ):
+ if expected_component is None:
+ continue
+ assert actual_component is not None and approx_equal(actual_component, expected_component), (
+ f"{case.name}: {field} {actual_component} != expected {expected_component}"
+ )
+ if case.response.content_type == "application/json":
+ header: Final = response.headers.get(header_name)
+ assert header is not None and approx_equal(float(header), expected_component), (
+ f"{case.name}: {header_name} {header} != expected {expected_component}"
+ )
+ if case.response.content_type == "application/json" and any(
+ component is not None
+ for component in (
+ expected.cache_read_cost,
+ expected.cache_creation_cost,
+ expected.reasoning_cost,
+ expected.tool_usage_cost,
+ )
+ ):
+ input_header: Final = response.headers.get("x-litellm-response-cost-input")
+ output_header: Final = response.headers.get("x-litellm-response-cost-output")
+ expected_input_header: Final = expected.input_cost - (
+ expected.cache_read_cost or 0.0
+ ) - (expected.cache_creation_cost or 0.0)
+ assert input_header is not None and approx_equal(float(input_header), expected_input_header), (
+ f"{case.name}: x-litellm-response-cost-input {input_header} != expected {expected_input_header}"
+ )
+ assert output_header is not None and approx_equal(float(output_header), expected.output_cost), (
+ f"{case.name}: x-litellm-response-cost-output {output_header} != expected {expected.output_cost}"
+ )
+
+
@pytest.mark.parametrize("case", _CASES)
def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase) -> None:
marker: Final = sha256(case.name.encode()).hexdigest()[:12]
@@ -133,7 +204,9 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert row.spend is not None and approx_equal(row.spend, recount), (
f"{case.name}: spend {row.spend} != recount {recount} at map rates"
)
- assert_total_is_sum_of_components(row, case.name)
+ breakdown: Final = row.breakdown
+ assert breakdown is not None, f"{case.name}: no cost_breakdown persisted"
+ assert_total_is_sum_of_components(row, breakdown, case.name)
return
expected: Final = case.expected
assert isinstance(expected, ExactExpected)
@@ -150,76 +223,18 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
)
assert row.spend is not None and approx_equal(row.spend, expected.spend), (
f"{case.name}: spend {row.spend} != expected {expected.spend} "
- f"(breakdown {row.breakdown.model_dump()})"
+ f"(breakdown {row.breakdown.model_dump() if row.breakdown is not None else None})"
)
breakdown: Final = row.breakdown
+ if expected.breakdown_persisted:
+ assert breakdown is not None, f"{case.name}: no cost_breakdown persisted"
if breakdown is not None:
- assert breakdown.input_cost is not None and approx_equal(breakdown.input_cost, expected.input_cost), (
- f"{case.name}: input_cost {breakdown.input_cost} != expected {expected.input_cost}"
- )
- assert breakdown.output_cost is not None and approx_equal(breakdown.output_cost, expected.output_cost), (
- f"{case.name}: output_cost {breakdown.output_cost} != expected {expected.output_cost}"
- )
- for field, header_name, actual_component, expected_component in (
- (
- "cache_read_cost",
- "x-litellm-response-cost-cache-read",
- breakdown.cache_read_cost,
- expected.cache_read_cost,
- ),
- (
- "cache_creation_cost",
- "x-litellm-response-cost-cache-creation",
- breakdown.cache_creation_cost,
- expected.cache_creation_cost,
- ),
- (
- "reasoning_cost",
- "x-litellm-response-cost-reasoning",
- breakdown.reasoning_cost,
- expected.reasoning_cost,
- ),
- (
- "tool_usage_cost",
- "x-litellm-response-cost-tool-usage",
- breakdown.tool_usage_cost,
- expected.tool_usage_cost,
- ),
- ):
- if expected_component is None:
- continue
- assert actual_component is not None and approx_equal(actual_component, expected_component), (
- f"{case.name}: {field} {actual_component} != expected {expected_component}"
- )
- if case.response.content_type == "application/json":
- header: Final = response.headers.get(header_name)
- assert header is not None and approx_equal(float(header), expected_component), (
- f"{case.name}: {header_name} {header} != expected {expected_component}"
- )
- if case.response.content_type == "application/json" and any(
- component is not None
- for component in (
- expected.cache_read_cost,
- expected.cache_creation_cost,
- expected.reasoning_cost,
- expected.tool_usage_cost,
- )
- ):
- input_header: Final = response.headers.get("x-litellm-response-cost-input")
- output_header: Final = response.headers.get("x-litellm-response-cost-output")
- expected_input_header: Final = expected.input_cost - (
- expected.cache_read_cost or 0.0
- ) - (expected.cache_creation_cost or 0.0)
- assert input_header is not None and approx_equal(float(input_header), expected_input_header), (
- f"{case.name}: x-litellm-response-cost-input {input_header} != expected {expected_input_header}"
- )
- assert output_header is not None and approx_equal(float(output_header), expected.output_cost), (
- f"{case.name}: x-litellm-response-cost-output {output_header} != expected {expected.output_cost}"
- )
+ _assert_breakdown(case, expected, breakdown, response)
assert row.prompt_tokens == expected.prompt_tokens, (
f"{case.name}: prompt_tokens {row.prompt_tokens} != expected {expected.prompt_tokens}"
)
assert row.completion_tokens == expected.completion_tokens, (
f"{case.name}: completion_tokens {row.completion_tokens} != expected {expected.completion_tokens}"
)
- assert_total_is_sum_of_components(row, case.name)
+ if breakdown is not None:
+ assert_total_is_sum_of_components(row, breakdown, case.name)
From 110d4c2ad1e6c6c1a0a8cf52880fc2c930c45357 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 22:05:57 +0000
Subject: [PATCH 081/246] test(integration): add passthrough cost cases
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.circleci/scripts/run_integration.sh | 4 +
tests/integration/_support/client.py | 7 +-
tests/integration/_support/upstream.py | 8 +-
tests/integration/contracts.json | 18 +
.../cost_calculation/cost_tracking_case.py | 55 ++-
.../cost_calculation/cost_tracking_cases.json | 373 ++++++++++++++++++
.../cost_calculation/test_cost_tracking.py | 71 +++-
7 files changed, 512 insertions(+), 24 deletions(-)
diff --git a/.circleci/scripts/run_integration.sh b/.circleci/scripts/run_integration.sh
index 0d6cdcabd57..08b0281b30f 100644
--- a/.circleci/scripts/run_integration.sh
+++ b/.circleci/scripts/run_integration.sh
@@ -121,6 +121,10 @@ start_proxy() {
"LITELLM_MODEL_COST_MAP_URL=$INTEGRATION_UPSTREAM_URL/_cost_map"
"MODEL_COST_MAP_MIN_MODEL_COUNT=1"
"MODEL_COST_MAP_MAX_SHRINK_RATIO=0"
+ "GEMINI_API_BASE=$INTEGRATION_UPSTREAM_URL"
+ "ANTHROPIC_API_BASE=$INTEGRATION_UPSTREAM_URL"
+ "GEMINI_API_KEY=sk-scripted-provider"
+ "ANTHROPIC_API_KEY=sk-scripted-provider"
)
else
cost_map_env=("LITELLM_LOCAL_MODEL_COST_MAP=True")
diff --git a/tests/integration/_support/client.py b/tests/integration/_support/client.py
index 5d206c10f3d..0b6771623c0 100644
--- a/tests/integration/_support/client.py
+++ b/tests/integration/_support/client.py
@@ -58,13 +58,18 @@ class Gateway:
*,
key: str | None = None,
params: Mapping[str, str] | None = None,
+ headers: Mapping[str, str] | None = None,
) -> httpx.Response:
+ request_headers: Final = {
+ "Authorization": f"Bearer {self.key if key is None else key}",
+ **(headers or {}),
+ }
return self.client.request(
method,
path,
json=body,
params=params,
- headers={"Authorization": f"Bearer {self.key if key is None else key}"},
+ headers=request_headers,
)
def request_multipart(
diff --git a/tests/integration/_support/upstream.py b/tests/integration/_support/upstream.py
index 22f6cdcde78..90325b770ab 100644
--- a/tests/integration/_support/upstream.py
+++ b/tests/integration/_support/upstream.py
@@ -194,9 +194,11 @@ class Provider:
async def scripted(self, request: Request) -> Response:
segments: Final = tuple(segment for segment in cast(str, request.path_params["path"]).split("/") if segment)
- if not segments:
- return JSONResponse({"error": "Unknown scenario"}, status_code=404)
- scenario_id: Final = segments[0].split(":", 1)[0]
+ scenario_id: Final = (
+ segments[0].split(":", 1)[0]
+ if segments and self.scenario_store.get(segments[0].split(":", 1)[0]) is not None
+ else request.headers.get("x-scripted-scenario", "")
+ )
response: Final = self.scenario_store.get(scenario_id)
if response is None:
return JSONResponse({"error": "Unknown scenario"}, status_code=404)
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index bb6f7399293..e86536e13b5 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -1431,6 +1431,24 @@
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[anthropic.claude-sonnet-5-v1:0-messages_cache_read]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gemini-3.1-pro-passthrough-generate_content_priced_via_gemini_key]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gemini-3.1-pro-passthrough-stream_generate_content_priced_via_vertex_key]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-passthrough-messages]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-passthrough-messages_cache_read]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[anthropic.claude-sonnet-5-v1:0-passthrough-converse]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[anthropic.claude-sonnet-5-v1:0-passthrough-converse_stream]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
]
},
"browser": {
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index 1869a394016..ba64cab81ed 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -144,6 +144,7 @@ class ExactExpected(BaseModel):
reasoning_cost: float | None = None
tool_usage_cost: float | None = None
breakdown_persisted: bool = True
+ cost_header: bool = True
class RecountRates(BaseModel):
@@ -180,19 +181,22 @@ class CostTrackingTestCase(BaseModel):
name: str
covers: str
model: str
- endpoint: Literal[
- "/v1/chat/completions",
- "/v1/responses",
- "/v1/messages",
- "/v1/embeddings",
- "/v1/rerank",
- "/v1/completions",
- "/v1/moderations",
- "/v1/audio/transcriptions",
- "/v1/audio/speech",
- "/v1/images/generations",
- "/v1/images/edits",
- ] = "/v1/chat/completions"
+ endpoint: (
+ Literal[
+ "/v1/chat/completions",
+ "/v1/responses",
+ "/v1/messages",
+ "/v1/embeddings",
+ "/v1/rerank",
+ "/v1/completions",
+ "/v1/moderations",
+ "/v1/audio/transcriptions",
+ "/v1/audio/speech",
+ "/v1/images/generations",
+ "/v1/images/edits",
+ ]
+ | Annotated[str, Field(pattern=r"^/(gemini|anthropic|bedrock)/")]
+ ) = "/v1/chat/completions"
deployment: Deployment | None = None
upload: Upload | None = None
request: dict[str, JsonValue]
@@ -235,6 +239,17 @@ class CostTrackingTestCase(BaseModel):
def base_model(self) -> str | None:
return self.deployment.base_model if self.deployment else None
+ @property
+ def passthrough_provider(self) -> Literal["gemini", "anthropic", "bedrock"] | None:
+ provider: Final = self.endpoint.removeprefix("/").split("/", 1)[0]
+ if provider == "gemini":
+ return "gemini"
+ if provider == "anthropic":
+ return "anthropic"
+ if provider == "bedrock":
+ return "bedrock"
+ return None
+
class _CasesFile(BaseModel):
model_config = ConfigDict(frozen=True, extra="forbid")
@@ -362,6 +377,19 @@ def data_errors() -> tuple[str, ...]:
and case.response.status != 200
)
)
+ invalid_opt_outs: Final = sorted(
+ case.name
+ for case in CASES
+ if isinstance(case.expected, ExactExpected)
+ and (
+ (
+ not case.expected.breakdown_persisted
+ and case.passthrough_provider is None
+ and case.rates.mode != "image_generation"
+ )
+ or (not case.expected.cost_header and case.passthrough_provider is None)
+ )
+ )
return tuple(
message
for message in (
@@ -374,6 +402,7 @@ def data_errors() -> tuple[str, ...]:
f"failure response statuses are inconsistent: {failure_response_mismatches}"
if failure_response_mismatches
else None,
+ f"invalid passthrough opt-outs: {invalid_opt_outs}" if invalid_opt_outs else None,
)
if message is not None
)
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index be0d62d360a..1179dd47592 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -27460,6 +27460,379 @@
"completion_tokens": 380,
"cache_read_cost": 0.00405504
}
+ },
+ {
+ "name": "gemini-3.1-pro-passthrough-generate_content_priced_via_gemini_key",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gemini/gemini-3.1-pro",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "system",
+ "content": [
+ {
+ "type": "text",
+ "text": "You are a deterministic pricing-harness assistant. Keep answers to a single short line."
+ }
+ ]
+ },
+ {
+ "role": "user",
+ "content": [
+ {
+ "type": "text",
+ "text": "5fdf6b7dd9b9 summarize the attached material in one line and name the city weather"
+ }
+ ]
+ }
+ ],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "candidates": [
+ {
+ "content": {
+ "parts": [
+ {
+ "text": "scripted answer 5fdf6b7dd9b9"
+ }
+ ],
+ "role": "model"
+ },
+ "finishReason": "STOP",
+ "index": 0
+ }
+ ],
+ "usageMetadata": {
+ "promptTokenCount": 1840,
+ "candidatesTokenCount": 412,
+ "totalTokenCount": 2252,
+ "promptTokensDetails": [
+ {
+ "modality": "TEXT",
+ "tokenCount": 1840
+ }
+ ]
+ },
+ "modelVersion": "gemini-3.1-pro"
+ }
+ },
+ "expected": {
+ "spend": 0.008624,
+ "input_cost": 0.00368,
+ "output_cost": 0.004944,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "breakdown_persisted": false,
+ "cost_header": false
+ },
+ "endpoint": "/gemini/v1beta/models/$MODEL:generateContent"
+ },
+ {
+ "name": "gemini-3.1-pro-passthrough-stream_generate_content_priced_via_vertex_key",
+ "covers": "quota_management.spend_tracking.scripted_wire.logs_cost",
+ "model": "gemini-3.1-pro",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "system",
+ "content": [
+ {
+ "type": "text",
+ "text": "You are a deterministic pricing-harness assistant. Keep answers to a single short line."
+ }
+ ]
+ },
+ {
+ "role": "user",
+ "content": [
+ {
+ "type": "text",
+ "text": "52b6a80ff038 summarize the attached material in one line and name the city weather"
+ }
+ ]
+ }
+ ],
+ "stream": true,
+ "stream_options": {
+ "include_usage": true
+ },
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "text/event-stream",
+ "frames": [
+ "data: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"scripted answer 52b6a80ff038\"}], \"role\": \"model\"}, \"finishReason\": \"STOP\", \"index\": 0}], \"modelVersion\": \"gemini-3.1-pro\"}",
+ "data: {\"candidates\": [], \"usageMetadata\": {\"promptTokenCount\": 1840, \"candidatesTokenCount\": 412, \"totalTokenCount\": 2252, \"promptTokensDetails\": [{\"modality\": \"TEXT\", \"tokenCount\": 1840}]}, \"modelVersion\": \"gemini-3.1-pro\"}"
+ ]
+ },
+ "expected": {
+ "spend": 0.0090552,
+ "input_cost": 0.003864,
+ "output_cost": 0.0051912,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "breakdown_persisted": false,
+ "cost_header": false
+ },
+ "endpoint": "/gemini/v1beta/models/$MODEL:streamGenerateContent?alt=sse"
+ },
+ {
+ "name": "claude-sonnet-5-passthrough-messages",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "claude-sonnet-5",
+ "endpoint": "/anthropic/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 412,
+ "messages": [
+ {
+ "role": "user",
+ "content": "summarize the attached material in one line"
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "msg_$REQUEST_ID",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-sonnet-5",
+ "content": [
+ {
+ "type": "text",
+ "text": "scripted response"
+ }
+ ],
+ "stop_reason": "end_turn",
+ "stop_sequence": null,
+ "usage": {
+ "input_tokens": 1840,
+ "output_tokens": 412
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0117,
+ "input_cost": 0.00552,
+ "output_cost": 0.00618,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "breakdown_persisted": false,
+ "cost_header": false
+ }
+ },
+ {
+ "name": "claude-sonnet-5-passthrough-messages_cache_read",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "claude-sonnet-5",
+ "endpoint": "/anthropic/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "max_tokens": 412,
+ "messages": [
+ {
+ "role": "user",
+ "content": [
+ {
+ "type": "text",
+ "text": "cached text",
+ "cache_control": {
+ "type": "ephemeral"
+ }
+ }
+ ]
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "msg_$REQUEST_ID",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-sonnet-5",
+ "content": [
+ {
+ "type": "text",
+ "text": "scripted response"
+ }
+ ],
+ "stop_reason": "end_turn",
+ "stop_sequence": null,
+ "usage": {
+ "input_tokens": 640,
+ "output_tokens": 380,
+ "cache_read_input_tokens": 12288
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0113064,
+ "input_cost": 0.0056064,
+ "output_cost": 0.0057,
+ "prompt_tokens": 12928,
+ "completion_tokens": 380,
+ "cache_read_cost": 0.0036864,
+ "breakdown_persisted": false,
+ "cost_header": false
+ }
+ },
+ {
+ "name": "anthropic.claude-sonnet-5-v1:0-passthrough-converse",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "anthropic.claude-sonnet-5-v1:0",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "system",
+ "content": [
+ {
+ "type": "text",
+ "text": "You are a deterministic pricing-harness assistant. Keep answers to a single short line."
+ }
+ ]
+ },
+ {
+ "role": "user",
+ "content": [
+ {
+ "type": "text",
+ "text": "9aad4de0556c summarize the attached material in one line and name the city weather"
+ }
+ ]
+ }
+ ],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "output": {
+ "message": {
+ "role": "assistant",
+ "content": [
+ {
+ "text": "scripted answer 9aad4de0556c"
+ }
+ ]
+ }
+ },
+ "stopReason": "end_turn",
+ "usage": {
+ "inputTokens": 1840,
+ "outputTokens": 412,
+ "totalTokens": 2252
+ },
+ "metrics": {
+ "latencyMs": 42
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.01287,
+ "input_cost": 0.006072,
+ "output_cost": 0.006798,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "cost_header": false
+ },
+ "endpoint": "/bedrock/model/$MODEL/converse"
+ },
+ {
+ "name": "anthropic.claude-sonnet-5-v1:0-passthrough-converse_stream",
+ "covers": "quota_management.spend_tracking.scripted_wire.logs_cost",
+ "model": "anthropic.claude-sonnet-5-v1:0",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "system",
+ "content": [
+ {
+ "type": "text",
+ "text": "You are a deterministic pricing-harness assistant. Keep answers to a single short line."
+ }
+ ]
+ },
+ {
+ "role": "user",
+ "content": [
+ {
+ "type": "text",
+ "text": "a9257967d38a summarize the attached material in one line and name the city weather"
+ }
+ ]
+ }
+ ],
+ "stream": true,
+ "stream_options": {
+ "include_usage": true
+ },
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/vnd.amazon.eventstream",
+ "events": [
+ {
+ "event_type": "messageStart",
+ "payload": {
+ "role": "assistant"
+ }
+ },
+ {
+ "event_type": "contentBlockDelta",
+ "payload": {
+ "delta": {
+ "text": "scripted answer a9257967d38a"
+ },
+ "contentBlockIndex": 0
+ }
+ },
+ {
+ "event_type": "contentBlockStop",
+ "payload": {
+ "contentBlockIndex": 0
+ }
+ },
+ {
+ "event_type": "messageStop",
+ "payload": {
+ "stopReason": "end_turn"
+ }
+ },
+ {
+ "event_type": "metadata",
+ "payload": {
+ "usage": {
+ "inputTokens": 1840,
+ "outputTokens": 412,
+ "totalTokens": 2252
+ },
+ "metrics": {
+ "latencyMs": 42
+ }
+ }
+ }
+ ]
+ },
+ "expected": {
+ "spend": 0.01287,
+ "input_cost": 0.006072,
+ "output_cost": 0.006798,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "cost_header": false
+ },
+ "endpoint": "/bedrock/model/$MODEL/converse-stream"
}
]
}
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index f6547406827..c2ac6e77a3f 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -12,8 +12,10 @@ import zlib
import httpx
import pytest
+from pydantic import JsonValue
from integration._support.client import JSON_OBJECT, Gateway
+from integration._support.upstream import delete_scenario, register_scenario
from integration.cost_calculation.conftest import (
CostBreakdown,
approx_equal,
@@ -96,6 +98,16 @@ def _assert_stream_has_no_error(response_text: str) -> None:
), f"stream carried an error event: {parsed}"
+def _replace_model(value: JsonValue, model_name: str) -> JsonValue:
+ if isinstance(value, str):
+ return value.replace("$MODEL", model_name)
+ if isinstance(value, list):
+ return [_replace_model(item, model_name) for item in value]
+ if isinstance(value, dict):
+ return {key: _replace_model(item, model_name) for key, item in value.items()}
+ return value
+
+
def _assert_breakdown(
case: CostTrackingTestCase,
expected: ExactExpected,
@@ -139,12 +151,12 @@ def _assert_breakdown(
assert actual_component is not None and approx_equal(actual_component, expected_component), (
f"{case.name}: {field} {actual_component} != expected {expected_component}"
)
- if case.response.content_type == "application/json":
+ if expected.cost_header and case.response.content_type == "application/json":
header: Final = response.headers.get(header_name)
assert header is not None and approx_equal(float(header), expected_component), (
f"{case.name}: {header_name} {header} != expected {expected_component}"
)
- if case.response.content_type == "application/json" and any(
+ if expected.cost_header and case.response.content_type == "application/json" and any(
component is not None
for component in (
expected.cache_read_cost,
@@ -171,11 +183,51 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
marker: Final = sha256(case.name.encode()).hexdigest()[:12]
with gateway.scenario() as scenario:
key: Final = scenario.key()
- model_name: Final = register_scenario_deployment(scenario, case, marker, key)
+ passthrough_provider: Final = case.passthrough_provider
+ scenario_id: Final = f"sc-{marker}-{sha256(key.encode()).hexdigest()[:12]}"
+ scenario_handle: Final = (
+ register_scenario(scenario_id, case.response)
+ if passthrough_provider in {"gemini", "anthropic"}
+ else None
+ )
+ if scenario_handle is not None:
+ scenario.cleanups.callback(delete_scenario, scenario_handle)
+ model_name: Final = (
+ case.model
+ if passthrough_provider in {"gemini", "anthropic"}
+ else register_scenario_deployment(scenario, case, marker, key)
+ )
+ request_model: Final = (
+ case.model.rsplit("/", 1)[-1]
+ if passthrough_provider in {"gemini", "anthropic"}
+ else model_name
+ )
+ request_body: Final = JSON_OBJECT.validate_python(
+ _replace_model(case.request, request_model)
+ if passthrough_provider is not None
+ else {**case.request, "model": model_name}
+ )
+ request_headers: Final = (
+ {
+ "x-pass-x-scripted-scenario": scenario_id,
+ **(
+ {"x-goog-api-key": key}
+ if passthrough_provider == "gemini"
+ else {}
+ ),
+ }
+ if passthrough_provider is not None
+ else {}
+ )
+ request_path: Final = (
+ case.endpoint.replace("$MODEL", request_model)
+ if passthrough_provider is not None
+ else case.endpoint
+ )
response: Final = (
_multipart_request(gateway, case, model_name, key)
if case.upload is not None
- else gateway.request("POST", case.endpoint, {**case.request, "model": model_name}, key=key)
+ else gateway.request("POST", request_path, request_body, key=key, headers=request_headers)
)
if isinstance(case.expected, FailureExpected):
assert response.status_code == case.expected.failure.status, (
@@ -220,9 +272,14 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
)
elif case.response.content_type == "application/json":
header: Final = cast(str | None, response.headers.get("x-litellm-response-cost"))
- assert header is not None and approx_equal(float(header), expected.spend), (
- f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
- )
+ if expected.cost_header:
+ assert header is not None and approx_equal(float(header), expected.spend), (
+ f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
+ )
+ elif header is not None:
+ assert approx_equal(float(header), expected.spend), (
+ f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
+ )
assert row.spend is not None and approx_equal(row.spend, expected.spend), (
f"{case.name}: spend {row.spend} != expected {expected.spend} "
f"(breakdown {row.breakdown.model_dump() if row.breakdown is not None else None})"
From 3a0cabacf8efd58c2e68cb0ed65cae72784a1d3d Mon Sep 17 00:00:00 2001
From: yassin
Date: Sat, 19 Sep 2026 20:54:44 +0000
Subject: [PATCH 082/246] fix(proxy): park requeued spend logs in Redis so they
survive a pod restart during a DB outage
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
litellm/caching/redis_cache.py | 45 ++++
litellm/constants.py | 3 +
.../redis_update_buffer.py | 60 +++++
litellm/proxy/utils.py | 101 ++++++--
tests/proxy_unit_tests/test_update_spend.py | 1 +
.../test_litellm/caching/test_redis_cache.py | 48 ++++
.../test_redis_update_buffer.py | 50 ++++
.../proxy/utils/prisma_and_spend/conftest.py | 49 ++++
.../test_proxy_update_spend.py | 34 +++
.../prisma_and_spend/test_spend_functions.py | 222 ++++++++++++++++++
10 files changed, 599 insertions(+), 14 deletions(-)
diff --git a/litellm/caching/redis_cache.py b/litellm/caching/redis_cache.py
index b4b2b1a334c..c810278f566 100644
--- a/litellm/caching/redis_cache.py
+++ b/litellm/caching/redis_cache.py
@@ -1999,6 +1999,51 @@ class RedisCache(BaseCache):
log_redis_failure(verbose_logger, logging.ERROR, "LiteLLM Redis Cache RPUSH: - Got exception from REDIS", e)
raise e
+ @_redis_circuit_breaker_guard
+ async def async_rpush_and_trim(
+ self,
+ key: str,
+ values: Sequence[str | bytes | int | float],
+ max_len: int,
+ ) -> int:
+ """Append values and keep only the newest ``max_len`` entries in one MULTI/EXEC.
+
+ Returns the list length right after the push, so callers can tell how many
+ of the oldest entries the trim dropped.
+ """
+ _redis_client: Final = self._async_commands()
+ namespaced_key: Final = self.check_and_fix_namespace(key=key)
+ start_time: Final = time.time()
+ try:
+ async with _redis_client.pipeline(transaction=True) as pipe:
+ pipe.rpush(namespaced_key, *values)
+ pipe.ltrim(namespaced_key, -max_len, -1)
+ results: Final = await pipe.execute()
+ for r in results:
+ if isinstance(r, Exception):
+ raise r
+ asyncio.create_task(
+ self.service_logger_obj.async_service_success_hook(
+ service=ServiceTypes.REDIS,
+ duration=time.time() - start_time,
+ call_type=f"async_rpush_and_trim <- {_get_call_stack_info()}",
+ )
+ )
+ return int(results[0])
+ except Exception as e:
+ asyncio.create_task(
+ self.service_logger_obj.async_service_failure_hook(
+ service=ServiceTypes.REDIS,
+ duration=time.time() - start_time,
+ error=e,
+ call_type=f"async_rpush_and_trim <- {_get_call_stack_info()}",
+ )
+ )
+ log_redis_failure(
+ verbose_logger, logging.ERROR, "LiteLLM Redis Cache RPUSH+LTRIM: - Got exception from REDIS", e
+ )
+ raise e
+
async def _pipeline_rpush_helper(
self,
pipe: pipeline,
diff --git a/litellm/constants.py b/litellm/constants.py
index d62cad74a36..4c8c51ee860 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -370,6 +370,9 @@ REDIS_DAILY_AGENT_SPEND_UPDATE_BUFFER_KEY: Final = "litellm_daily_agent_spend_up
REDIS_DAILY_TAG_SPEND_UPDATE_BUFFER_KEY: Final = "litellm_daily_tag_spend_update_buffer"
REDIS_WINDOW_SPEND_UPDATE_BUFFER_KEY: Final = "litellm_window_spend_update_buffer"
MAX_REDIS_BUFFER_DEQUEUE_COUNT: Final = int(os.getenv("MAX_REDIS_BUFFER_DEQUEUE_COUNT", 100))
+REDIS_SPEND_LOGS_BUFFER_KEY: Final = "litellm_spend_logs_buffer"
+REDIS_SPEND_LOGS_BUFFER_MAX_ROWS: Final = 100000
+REDIS_SPEND_LOGS_BUFFER_DEQUEUE_COUNT: Final = 1000
# Bounds asyncio.Queue() instances (log queues, spend update queues, etc.) to prevent unbounded memory growth
LITELLM_ASYNCIO_QUEUE_MAXSIZE: Final = int(os.getenv("LITELLM_ASYNCIO_QUEUE_MAXSIZE", 1000))
TOOL_POLICY_CACHE_TTL_SECONDS: Final = int(os.getenv("TOOL_POLICY_CACHE_TTL_SECONDS", 60))
diff --git a/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py b/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py
index cead63795a2..9044bbb3d3b 100644
--- a/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py
+++ b/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py
@@ -7,6 +7,7 @@ This is to prevent deadlocks and improve reliability
import asyncio
import json
from collections.abc import Mapping, Sequence
+from datetime import datetime
from functools import reduce
from typing import TYPE_CHECKING, Any, Final, Literal, TypeAlias, TypeVar, cast
@@ -22,6 +23,8 @@ from litellm.constants import (
REDIS_DAILY_SPEND_UPDATE_BUFFER_KEY,
REDIS_DAILY_TAG_SPEND_UPDATE_BUFFER_KEY,
REDIS_DAILY_TEAM_SPEND_UPDATE_BUFFER_KEY,
+ REDIS_SPEND_LOGS_BUFFER_KEY,
+ REDIS_SPEND_LOGS_BUFFER_MAX_ROWS,
REDIS_UPDATE_BUFFER_KEY,
REDIS_WINDOW_SPEND_UPDATE_BUFFER_KEY,
)
@@ -48,6 +51,7 @@ from litellm.proxy.db.db_transaction_queue.window_spend_update_queue import (
WindowSpendUpdateQueue,
to_wire_payload,
)
+from litellm.proxy.db.spend_log_batching import SpendLogRow
from litellm.secret_managers.main import str_to_bool
from litellm.types.caching import (
RedisPipelineLpopOperation,
@@ -93,6 +97,19 @@ _SPEND_TRANSACTION_FIELDS: Final[tuple[_SpendTransactionField, ...]] = (
_ValueT = TypeVar("_ValueT")
+def _spend_log_json_default(value: object) -> str:
+ return value.isoformat() if isinstance(value, datetime) else str(value)
+
+
+def _encode_spend_log_row(row: SpendLogRow) -> str:
+ return json.dumps(row, default=_spend_log_json_default)
+
+
+def _decode_spend_log_row(encoded: str) -> dict[str, object] | None:
+ decoded: Final = json.loads(encoded)
+ return decoded if isinstance(decoded, dict) else None
+
+
def _accumulated_spend(totals: Mapping[str, float], entities: Mapping[str, float]) -> dict[str, float]:
return {**totals, **{entity_id: totals.get(entity_id, 0) + amount for entity_id, amount in entities.items()}}
@@ -526,6 +543,49 @@ class RedisUpdateBuffer:
str(e),
)
+ async def store_spend_logs_in_redis(
+ self,
+ rows: Sequence[SpendLogRow],
+ max_rows: int = REDIS_SPEND_LOGS_BUFFER_MAX_ROWS,
+ ) -> bool:
+ """Park spend-log rows in Redis so they outlive this pod, dropping the oldest past ``max_rows``."""
+ if self.redis_cache is None or len(rows) == 0 or not self._should_commit_spend_updates_to_redis():
+ return False
+ try:
+ buffer_size: Final = await self.redis_cache.async_rpush_and_trim(
+ key=REDIS_SPEND_LOGS_BUFFER_KEY,
+ values=[_encode_spend_log_row(row) for row in rows],
+ max_len=max_rows,
+ )
+ overflow: Final = buffer_size - max_rows
+ if overflow > 0:
+ verbose_proxy_logger.error(
+ "Spend tracking - Redis spend log buffer is at its %d row cap; dropped the %d oldest spend logs",
+ max_rows,
+ overflow,
+ )
+ except Exception as e: # noqa: BLE001 # the caller falls back to the in-memory queue on any Redis fault
+ verbose_proxy_logger.error(
+ "Spend tracking - failed to park %d spend log rows in Redis. Error: %s", len(rows), str(e)
+ )
+ return False
+ verbose_proxy_logger.info("Spend tracking - parked %d spend log rows in Redis for a later flush", len(rows))
+ return True
+
+ async def get_spend_logs_from_redis_buffer(self, limit: int) -> tuple[dict[str, object], ...]:
+ """Atomically take up to ``limit`` parked spend-log rows out of Redis."""
+ if self.redis_cache is None or not self._should_commit_spend_updates_to_redis():
+ return ()
+ popped: Final[str | list[str] | None] = await self.redis_cache.async_lpop(
+ key=REDIS_SPEND_LOGS_BUFFER_KEY,
+ count=limit,
+ )
+ if popped is None:
+ return ()
+ encoded_rows: Final = popped if isinstance(popped, list) else [popped]
+ decoded_rows: Final = (_decode_spend_log_row(encoded) for encoded in encoded_rows)
+ return tuple(row for row in decoded_rows if row is not None)
+
@staticmethod
def _number_of_transactions_to_store_in_redis(
db_spend_update_transactions: DBSpendUpdateTransactions,
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index b078a65759e..434a6179d14 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -51,6 +51,7 @@ from litellm.constants import (
DEFAULT_MODEL_CREATED_AT_TIME,
LITELLM_LOGGING_NO_UPSTREAM_LLM_CALL,
MAX_TEAM_LIST_LIMIT,
+ REDIS_SPEND_LOGS_BUFFER_DEQUEUE_COUNT,
SPEND_LOG_QUEUE_MAX_BYTES,
SPEND_LOG_WRITE_BATCH_MAX_BYTES,
SPEND_LOG_WRITE_BATCH_MAX_ROWS,
@@ -4167,6 +4168,7 @@ class PrismaClient:
spend_log_flush_requested: "asyncio.Event | None" = None
spend_log_queue_bytes: ClassVar[int] = 0
spend_logs_queue_monitor_task: "asyncio.Task[None] | None" = None
+ spend_log_write_lock = asyncio.Lock()
tool_usage_transactions: list["ToolUsageTransaction"] = []
_tool_usage_transactions_lock = asyncio.Lock()
autorouter_turn_transactions: ClassVar[
@@ -7062,7 +7064,7 @@ class ProxyUpdateSpend:
except Exception as e:
if not _is_transient_spend_log_write_error(e):
if PrismaDBExceptionHandler.is_prisma_error(e):
- await enqueue_spend_logs(prisma_client, logs_to_process, at_head=True)
+ await requeue_spend_logs(prisma_client, proxy_logging_obj, logs_to_process)
verbose_proxy_logger.warning(
"Spend tracking - DB error writing spend logs, requeued %d rows for the next flush. error=%s",
len(logs_to_process),
@@ -7077,7 +7079,7 @@ class ProxyUpdateSpend:
str(e),
)
if i >= n_retry_times:
- await enqueue_spend_logs(prisma_client, logs_to_process, at_head=True)
+ await requeue_spend_logs(prisma_client, proxy_logging_obj, logs_to_process)
raise
await asyncio.sleep(2**i)
except Exception as e:
@@ -7127,6 +7129,7 @@ async def update_spend(
)
### UPDATE SPEND LOGS ###
+ await recover_parked_spend_logs(prisma_client, proxy_logging_obj)
# Check queue size with lock protection
queue_size: Final = await _total_queued_spend_transactions(prisma_client)
verbose_proxy_logger.debug("Spend Logs transactions: %s", queue_size)
@@ -7144,6 +7147,51 @@ async def update_spend(
)
+async def _park_spend_logs_in_redis(proxy_logging_obj: ProxyLogging, rows: Sequence[Mapping[str, object]]) -> bool:
+ try:
+ return await proxy_logging_obj.db_spend_update_writer.redis_update_buffer.store_spend_logs_in_redis(rows)
+ except Exception as e: # noqa: BLE001 # a Redis fault falls back to the in-memory queue, never loses the rows
+ verbose_proxy_logger.warning(
+ "Spend tracking - could not park spend logs in Redis, keeping them in memory: %s", e
+ )
+ return False
+
+
+async def requeue_spend_logs(
+ prisma_client: PrismaClient,
+ proxy_logging_obj: ProxyLogging,
+ rows: Sequence[Mapping[str, object]],
+) -> None:
+ """Park rows from a failed or cancelled write in Redis, falling back to the head of the in-memory queue."""
+ if await _park_spend_logs_in_redis(proxy_logging_obj, rows):
+ return
+ await enqueue_spend_logs(prisma_client, rows, at_head=True)
+
+
+async def recover_parked_spend_logs(
+ prisma_client: PrismaClient,
+ proxy_logging_obj: ProxyLogging,
+ limit: int = REDIS_SPEND_LOGS_BUFFER_DEQUEUE_COUNT,
+) -> int:
+ """Move spend-log rows parked in Redis back to the head of the in-memory queue for the next write."""
+ try:
+ rows: Final = (
+ await proxy_logging_obj.db_spend_update_writer.redis_update_buffer.get_spend_logs_from_redis_buffer(limit)
+ )
+ except Exception as e: # noqa: BLE001 # Redis being down must not stop the regular in-memory flush
+ verbose_proxy_logger.warning("Spend tracking - could not read parked spend logs from Redis: %s", e)
+ return 0
+ if len(rows) == 0:
+ return 0
+ try:
+ await enqueue_spend_logs(prisma_client, rows, at_head=True)
+ except BaseException:
+ await _park_spend_logs_in_redis(proxy_logging_obj, rows)
+ raise
+ verbose_proxy_logger.info("Spend tracking - recovered %d parked spend log rows from Redis", len(rows))
+ return len(rows)
+
+
async def _total_queued_spend_transactions(prisma_client: PrismaClient) -> int:
"""Pending entries across every request-time spend queue, sized under each queue's
lock. Every drain trigger reads this one owner, so a queue added later joins the
@@ -7215,14 +7263,19 @@ async def update_spend_logs_job(
This job is triggered based on queue size rather than time.
Pops the batch once, writes spend logs, then runs guardrail usage tracking.
"""
- n_retry_times: Final = 3
- MAX_LOGS_PER_INTERVAL: Final = 10000
-
- # Atomically pop batch from queue. The tool usage queue counts toward the
- # emptiness check: a spend-log write failure aborts a run before the tool
- # drain below, and those entries must not strand once the spend queue drains.
if await _total_queued_spend_transactions(prisma_client) == 0:
return
+ async with prisma_client.spend_log_write_lock:
+ await _run_spend_logs_job(prisma_client, db_writer_client, proxy_logging_obj)
+
+
+async def _run_spend_logs_job(
+ prisma_client: PrismaClient,
+ db_writer_client: AsyncHTTPHandler | None,
+ proxy_logging_obj: ProxyLogging,
+) -> None:
+ n_retry_times: Final = 3
+ MAX_LOGS_PER_INTERVAL: Final = 10000
logs_to_process: Final = await dequeue_spend_logs(prisma_client, MAX_LOGS_PER_INTERVAL)
@@ -7235,7 +7288,7 @@ async def update_spend_logs_job(
logs_to_process=logs_to_process,
)
except asyncio.CancelledError:
- await enqueue_spend_logs(prisma_client, logs_to_process, at_head=True)
+ await requeue_spend_logs(prisma_client, proxy_logging_obj, logs_to_process)
verbose_proxy_logger.warning(
"Spend tracking - spend log write cancelled, requeued %d rows for the next flush",
len(logs_to_process),
@@ -7321,14 +7374,22 @@ async def drain_spend_logs_queue(
await monitor_task
prisma_client.spend_logs_queue_monitor_task = None # rebind-ok: the client owns its monitor handle
+ async with prisma_client.spend_log_write_lock:
+ try:
+ await _drain_spend_logs_queue_to_db(prisma_client, db_writer_client, proxy_logging_obj)
+ finally:
+ await _park_remaining_spend_logs(prisma_client, proxy_logging_obj)
+
+
+async def _drain_spend_logs_queue_to_db(
+ prisma_client: PrismaClient,
+ db_writer_client: "AsyncHTTPHandler | None",
+ proxy_logging_obj: ProxyLogging,
+) -> None:
for _ in range(MAX_SPEND_LOG_DRAIN_ITERATIONS):
if await _total_queued_spend_transactions(prisma_client) == 0:
return
- await update_spend_logs_job(
- prisma_client=prisma_client,
- db_writer_client=db_writer_client,
- proxy_logging_obj=proxy_logging_obj,
- )
+ await _run_spend_logs_job(prisma_client, db_writer_client, proxy_logging_obj)
remaining: Final = await _total_queued_spend_transactions(prisma_client)
if remaining > 0:
@@ -7339,6 +7400,17 @@ async def drain_spend_logs_queue(
)
+async def _park_remaining_spend_logs(prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging) -> None:
+ rows: Final = await dequeue_spend_logs(prisma_client, sys.maxsize)
+ if len(rows) == 0 or await _park_spend_logs_in_redis(proxy_logging_obj, rows):
+ return
+ await enqueue_spend_logs(prisma_client, rows, at_head=True)
+ spend_log_error(
+ "Spend tracking - %d spend log rows could not be written or parked in Redis and will be lost on exit",
+ len(rows),
+ )
+
+
async def _monitor_spend_logs_queue(
prisma_client: PrismaClient,
db_writer_client: AsyncHTTPHandler | None,
@@ -7372,6 +7444,7 @@ async def _monitor_spend_logs_queue(
while True:
try:
+ await recover_parked_spend_logs(prisma_client, proxy_logging_obj)
# Check queue sizes with lock protection; the tool usage queue keeps
# the monitor firing when a prior failed run left it nonempty.
queue_size = await _total_queued_spend_transactions(prisma_client)
diff --git a/tests/proxy_unit_tests/test_update_spend.py b/tests/proxy_unit_tests/test_update_spend.py
index a28a78cc4a1..8d78b4b61c1 100644
--- a/tests/proxy_unit_tests/test_update_spend.py
+++ b/tests/proxy_unit_tests/test_update_spend.py
@@ -42,6 +42,7 @@ class MockPrismaClient:
import asyncio
self._spend_log_transactions_lock = asyncio.Lock()
+ self.spend_log_write_lock = asyncio.Lock()
self._tool_usage_transactions_lock = asyncio.Lock()
self._autorouter_turn_transactions_lock = asyncio.Lock()
diff --git a/tests/test_litellm/caching/test_redis_cache.py b/tests/test_litellm/caching/test_redis_cache.py
index 19638c60b4b..44227b8ed33 100644
--- a/tests/test_litellm/caching/test_redis_cache.py
+++ b/tests/test_litellm/caching/test_redis_cache.py
@@ -1502,3 +1502,51 @@ async def test_async_set_cache_pipeline_with_ttls_keeps_each_entry_ttl(monkeypat
("ns:u1", '{"user_id": "u1"}', timedelta(seconds=7)),
("ns:org_id:o1", '{"a": 1}', timedelta(seconds=300)),
]
+
+
+class _ListPipeline:
+ def __init__(self, rows: list[str]) -> None:
+ self.rows = rows
+ self.queued: list[tuple[str, ...]] = []
+
+ async def __aenter__(self) -> "_ListPipeline":
+ return self
+
+ async def __aexit__(self, *exc: object) -> None:
+ return None
+
+ def rpush(self, key: str, *values: str) -> None:
+ self.queued.append(("rpush", key, *values))
+
+ def ltrim(self, key: str, start: int, end: int) -> None:
+ self.queued.append(("ltrim", key, str(start), str(end)))
+
+ async def execute(self) -> list[object]:
+ results: list[object] = []
+ for op in self.queued:
+ if op[0] == "rpush":
+ self.rows.extend(op[2:])
+ results.append(len(self.rows))
+ else:
+ start, end = int(op[2]), int(op[3])
+ del self.rows[: max(len(self.rows) + start, 0) if start < 0 else start]
+ results.append(True)
+ return results
+
+
+@pytest.mark.asyncio
+async def test_async_rpush_and_trim_runs_push_and_trim_in_one_transaction(monkeypatch, redis_no_ping):
+ monkeypatch.setenv("REDIS_HOST", "https://my-test-host")
+ redis_cache = RedisCache(namespace="ns")
+ rows = ["a", "b"]
+ pipe = _ListPipeline(rows)
+ client = MagicMock()
+ client.pipeline = MagicMock(return_value=pipe)
+
+ with patch.object(redis_cache, "init_async_client", return_value=client):
+ pushed_len = await redis_cache.async_rpush_and_trim(key="buf", values=["c", "d"], max_len=3)
+
+ client.pipeline.assert_called_once_with(transaction=True)
+ assert pushed_len == 4
+ assert rows == ["b", "c", "d"]
+ assert [op[:2] for op in pipe.queued] == [("rpush", "ns:buf"), ("ltrim", "ns:buf")]
diff --git a/tests/test_litellm/proxy/db/db_transaction_queue/test_redis_update_buffer.py b/tests/test_litellm/proxy/db/db_transaction_queue/test_redis_update_buffer.py
index cc8b10150bd..e04e2402e1b 100644
--- a/tests/test_litellm/proxy/db/db_transaction_queue/test_redis_update_buffer.py
+++ b/tests/test_litellm/proxy/db/db_transaction_queue/test_redis_update_buffer.py
@@ -651,3 +651,53 @@ async def test_store_in_memory_spend_updates_restores_budget_window_spend_on_rpu
restored = await window_queue.flush_and_get_aggregated_window_spend_transactions()
assert [payload["spend"] for payload in restored] == [4.0]
assert [payload["entity_id"] for payload in restored] == ["team-1"]
+
+
+class _ListRedis:
+ def __init__(self) -> None:
+ self.rows: list[str] = []
+
+ async def async_rpush_and_trim(self, key: str, values: list[str], max_len: int) -> int:
+ self.rows.extend(values)
+ pushed_len = len(self.rows)
+ del self.rows[:-max_len]
+ return pushed_len
+
+ async def async_lpop(self, key: str, count: int | None = None, **kwargs: object) -> list[str] | None:
+ if not self.rows:
+ return None
+ popped = self.rows[:count]
+ del self.rows[:count]
+ return popped
+
+
+@pytest.mark.asyncio
+async def test_store_spend_logs_in_redis_drops_oldest_rows_past_the_cap():
+ redis = _ListRedis()
+ buffer = RedisUpdateBuffer(redis_cache=redis)
+ buffer._should_commit_spend_updates_to_redis = MagicMock(return_value=True)
+
+ assert await buffer.store_spend_logs_in_redis([{"request_id": "old"}, {"request_id": "mid"}], max_rows=2) is True
+ assert await buffer.store_spend_logs_in_redis([{"request_id": "new"}], max_rows=2) is True
+
+ parked = await buffer.get_spend_logs_from_redis_buffer(limit=10)
+ assert [row["request_id"] for row in parked] == ["mid", "new"]
+ assert await buffer.get_spend_logs_from_redis_buffer(limit=10) == ()
+
+
+@pytest.mark.asyncio
+async def test_store_spend_logs_in_redis_reports_failure_without_redis():
+ buffer = RedisUpdateBuffer(redis_cache=None)
+
+ assert await buffer.store_spend_logs_in_redis([{"request_id": "a"}]) is False
+ assert await buffer.get_spend_logs_from_redis_buffer(limit=10) == ()
+
+
+@pytest.mark.asyncio
+async def test_store_spend_logs_in_redis_is_off_unless_transaction_buffering_is_enabled():
+ redis = _ListRedis()
+ buffer = RedisUpdateBuffer(redis_cache=redis)
+ buffer._should_commit_spend_updates_to_redis = MagicMock(return_value=False)
+
+ assert await buffer.store_spend_logs_in_redis([{"request_id": "a"}]) is False
+ assert redis.rows == []
diff --git a/tests/test_litellm/proxy/utils/prisma_and_spend/conftest.py b/tests/test_litellm/proxy/utils/prisma_and_spend/conftest.py
index fce51c9296c..c502fe4800e 100644
--- a/tests/test_litellm/proxy/utils/prisma_and_spend/conftest.py
+++ b/tests/test_litellm/proxy/utils/prisma_and_spend/conftest.py
@@ -130,6 +130,7 @@ def mock_prisma_client() -> MagicMock:
client.spend_log_transactions = []
client._spend_log_transactions_lock = asyncio.Lock()
client.spend_logs_queue_monitor_task = None
+ client.spend_log_write_lock = asyncio.Lock()
client.tool_usage_transactions = []
client._tool_usage_transactions_lock = asyncio.Lock()
client.jsonify_object = lambda data: dict(data)
@@ -313,6 +314,54 @@ def make_spend_log_row() -> Callable[..., Dict[str, Any]]:
return _make
+class FakeRedisList:
+ def __init__(self) -> None:
+ self.items: dict[str, list[str]] = {}
+ self.down = False
+
+ def _check_up(self) -> None:
+ if self.down:
+ raise ConnectionError("redis unreachable")
+
+ async def async_rpush_and_trim(self, key: str, values: list[str], max_len: int) -> int:
+ self._check_up()
+ stored = self.items.setdefault(key, [])
+ stored.extend(str(v) for v in values)
+ pushed_len = len(stored)
+ del stored[:-max_len]
+ return pushed_len
+
+ async def async_lpop(self, key: str, count: int | None = None, **kwargs: object) -> str | list[str] | None:
+ self._check_up()
+ stored = self.items.get(key, [])
+ if not stored:
+ return None
+ if count is None:
+ return stored.pop(0)
+ popped = stored[:count]
+ del stored[:count]
+ return popped
+
+
+@pytest.fixture
+def fake_redis() -> FakeRedisList:
+ return FakeRedisList()
+
+
+@pytest.fixture
+def proxy_logging_with_redis(fake_redis: FakeRedisList) -> MagicMock:
+ from litellm.proxy.db.db_transaction_queue.redis_update_buffer import RedisUpdateBuffer
+
+ proxy_logging = MagicMock()
+ proxy_logging.failure_handler = AsyncMock()
+ proxy_logging.db_spend_update_writer = MagicMock()
+ proxy_logging.db_spend_update_writer.db_update_spend_transaction_handler = AsyncMock()
+ buffer = RedisUpdateBuffer(redis_cache=fake_redis)
+ buffer._should_commit_spend_updates_to_redis = MagicMock(return_value=True)
+ proxy_logging.db_spend_update_writer.redis_update_buffer = buffer
+ return proxy_logging
+
+
@dataclass
class _SentMessage:
from_addr: Optional[str]
diff --git a/tests/test_litellm/proxy/utils/prisma_and_spend/test_proxy_update_spend.py b/tests/test_litellm/proxy/utils/prisma_and_spend/test_proxy_update_spend.py
index d671a4ffc1f..7099101db1c 100644
--- a/tests/test_litellm/proxy/utils/prisma_and_spend/test_proxy_update_spend.py
+++ b/tests/test_litellm/proxy/utils/prisma_and_spend/test_proxy_update_spend.py
@@ -883,3 +883,37 @@ def test_disable_spend_updates_error_when_general_settings_unavailable(
monkeypatch.delattr(proxy_server_mod, "general_settings", raising=False)
with pytest.raises(ImportError):
ProxyUpdateSpend.disable_spend_updates()
+
+
+@pytest.mark.asyncio
+async def test_update_spend_logs_parks_failed_batch_in_redis_with_wire_safe_datetimes(
+ mock_prisma_client: Any, make_spend_log_row: Any, proxy_logging_with_redis: MagicMock, fake_redis: Any
+) -> None:
+ """Regression: a batch the DB rejected used to go back to process memory only. With Redis
+ wired in it must be parked there, and datetimes must come back as ISO strings the DB write
+ accepts, since the row is replayed by a process that never saw the original objects.
+ """
+ from datetime import datetime, timezone
+
+ from prisma.errors import TableNotFoundError
+
+ started = datetime(2026, 9, 19, 20, 0, 5, 123000, tzinfo=timezone.utc)
+ err = TableNotFoundError(
+ {"user_facing_error": {"error_code": "P2021", "message": "The table does not exist", "meta": {}}}
+ )
+ mock_prisma_client.db.litellm_spendlogs.create_many = AsyncMock(side_effect=err)
+ mock_prisma_client.spend_log_transactions = []
+
+ with pytest.raises(TableNotFoundError):
+ await ProxyUpdateSpend.update_spend_logs(
+ n_retry_times=2,
+ prisma_client=mock_prisma_client,
+ db_writer_client=None,
+ proxy_logging_obj=proxy_logging_with_redis,
+ logs_to_process=[make_spend_log_row(request_id="a", startTime=started)],
+ )
+
+ buffer = proxy_logging_with_redis.db_spend_update_writer.redis_update_buffer
+ parked = await buffer.get_spend_logs_from_redis_buffer(limit=10)
+ assert mock_prisma_client.spend_log_transactions == []
+ assert [(row["request_id"], row["startTime"]) for row in parked] == [("a", started.isoformat())]
diff --git a/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py b/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py
index c8b87bd671e..d6f41ba55db 100644
--- a/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py
+++ b/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py
@@ -11,17 +11,20 @@ Symbols pinned here:
from __future__ import annotations
import asyncio
+import json
from contextlib import suppress
from typing import Any, Dict, Final, List
from unittest.mock import AsyncMock, MagicMock
import pytest
+from litellm.constants import REDIS_SPEND_LOGS_BUFFER_KEY
from litellm.proxy.utils import (
MAX_SPEND_LOG_DRAIN_ITERATIONS,
_monitor_spend_logs_queue,
_raise_failed_update_spend_exception,
drain_spend_logs_queue,
+ recover_parked_spend_logs,
update_daily_tag_spend,
update_spend,
update_spend_logs_job,
@@ -719,3 +722,222 @@ def test_raise_failed_update_spend_exception_raises_original_error() -> None:
with pytest.raises(ValueError, match="specific"):
asyncio.run(_runner())
+
+
+def _table_gone_error() -> Exception:
+ from prisma.errors import TableNotFoundError
+
+ return TableNotFoundError(
+ {"user_facing_error": {"error_code": "P2021", "message": "The table does not exist", "meta": {}}}
+ )
+
+
+def _parked_request_ids(fake_redis: Any) -> list[str]:
+ return [json.loads(row)["request_id"] for row in fake_redis.items.get(REDIS_SPEND_LOGS_BUFFER_KEY, [])]
+
+
+@pytest.mark.asyncio
+async def test_drain_spend_logs_queue_parks_unwritable_rows_in_redis_on_shutdown(
+ mock_prisma_client: Any, make_spend_log_row: Any, proxy_logging_with_redis: MagicMock, fake_redis: Any
+) -> None:
+ from prisma.errors import TableNotFoundError
+
+ mock_prisma_client.spend_log_transactions = [
+ make_spend_log_row(request_id="r1"),
+ make_spend_log_row(request_id="r2"),
+ ]
+ mock_prisma_client.db.litellm_spendlogs.create_many = AsyncMock(side_effect=_table_gone_error())
+
+ with pytest.raises(TableNotFoundError):
+ await drain_spend_logs_queue(
+ prisma_client=mock_prisma_client,
+ db_writer_client=None,
+ proxy_logging_obj=proxy_logging_with_redis,
+ )
+
+ assert mock_prisma_client.spend_log_transactions == []
+ assert sorted(_parked_request_ids(fake_redis)) == ["r1", "r2"]
+
+
+@pytest.mark.asyncio
+async def test_drain_spend_logs_queue_waits_for_an_in_flight_write_before_parking(
+ mock_prisma_client: Any, make_spend_log_row: Any, proxy_logging_with_redis: MagicMock, fake_redis: Any
+) -> None:
+ db_outage_seen: Final = asyncio.Event()
+ mock_prisma_client.spend_log_transactions = [make_spend_log_row(request_id="in-flight")]
+
+ async def _fail_once_shutdown_starts(*args: Any, **kwargs: Any) -> None:
+ await db_outage_seen.wait()
+ raise _table_gone_error()
+
+ mock_prisma_client.db.litellm_spendlogs.create_many = AsyncMock(side_effect=_fail_once_shutdown_starts)
+ scheduler_write: Final = asyncio.ensure_future(
+ update_spend_logs_job(
+ prisma_client=mock_prisma_client,
+ db_writer_client=None,
+ proxy_logging_obj=proxy_logging_with_redis,
+ )
+ )
+ await asyncio.sleep(0)
+ assert mock_prisma_client.spend_log_transactions == []
+
+ async def _release_after_shutdown_started() -> None:
+ await asyncio.sleep(0.05)
+ db_outage_seen.set()
+
+ release: Final = asyncio.ensure_future(_release_after_shutdown_started())
+ await drain_spend_logs_queue(
+ prisma_client=mock_prisma_client,
+ db_writer_client=None,
+ proxy_logging_obj=proxy_logging_with_redis,
+ )
+
+ assert _parked_request_ids(fake_redis) == ["in-flight"]
+ assert mock_prisma_client.spend_log_transactions == []
+ await release
+ with suppress(Exception):
+ await scheduler_write
+
+
+@pytest.mark.asyncio
+async def test_drain_spend_logs_queue_parks_rows_left_after_max_passes(
+ mock_prisma_client: Any,
+ make_spend_log_row: Any,
+ monkeypatch: pytest.MonkeyPatch,
+ proxy_logging_with_redis: MagicMock,
+ fake_redis: Any,
+) -> None:
+ import litellm.proxy.db.spend_log_tool_index as tool_mod
+ import litellm.proxy.guardrails.usage_tracking as guard_mod
+
+ monkeypatch.setattr(guard_mod, "process_spend_logs_guardrail_usage", AsyncMock(), raising=False)
+ monkeypatch.setattr(tool_mod, "flush_tool_usage_transactions", AsyncMock(), raising=False)
+ mock_prisma_client.spend_log_transactions = [make_spend_log_row(request_id="r0")]
+
+ async def _write_and_refill(*args: Any, **kwargs: Any) -> None:
+ mock_prisma_client.spend_log_transactions.append(make_spend_log_row(request_id="late"))
+
+ mock_prisma_client.db.litellm_spendlogs.create_many = AsyncMock(side_effect=_write_and_refill)
+
+ await drain_spend_logs_queue(
+ prisma_client=mock_prisma_client,
+ db_writer_client=None,
+ proxy_logging_obj=proxy_logging_with_redis,
+ )
+
+ assert mock_prisma_client.spend_log_transactions == []
+ assert _parked_request_ids(fake_redis) == ["late"]
+
+
+@pytest.mark.asyncio
+async def test_drain_spend_logs_queue_keeps_rows_in_memory_when_redis_is_down(
+ mock_prisma_client: Any, make_spend_log_row: Any, proxy_logging_with_redis: MagicMock, fake_redis: Any
+) -> None:
+ from prisma.errors import TableNotFoundError
+
+ fake_redis.down = True
+ mock_prisma_client.spend_log_transactions = [make_spend_log_row(request_id="r1")]
+ mock_prisma_client.db.litellm_spendlogs.create_many = AsyncMock(side_effect=_table_gone_error())
+
+ with pytest.raises(TableNotFoundError):
+ await drain_spend_logs_queue(
+ prisma_client=mock_prisma_client,
+ db_writer_client=None,
+ proxy_logging_obj=proxy_logging_with_redis,
+ )
+
+ assert [row["request_id"] for row in mock_prisma_client.spend_log_transactions] == ["r1"]
+ assert fake_redis.items == {}
+
+
+@pytest.mark.asyncio
+async def test_update_spend_writes_rows_parked_in_redis_by_a_previous_pod(
+ mock_prisma_client: Any,
+ make_spend_log_row: Any,
+ monkeypatch: pytest.MonkeyPatch,
+ proxy_logging_with_redis: MagicMock,
+ fake_redis: Any,
+) -> None:
+ import litellm.proxy.db.spend_log_tool_index as tool_mod
+ import litellm.proxy.guardrails.usage_tracking as guard_mod
+
+ monkeypatch.setattr(guard_mod, "process_spend_logs_guardrail_usage", AsyncMock(), raising=False)
+ monkeypatch.setattr(tool_mod, "flush_tool_usage_transactions", AsyncMock(), raising=False)
+ buffer = proxy_logging_with_redis.db_spend_update_writer.redis_update_buffer
+ assert await buffer.store_spend_logs_in_redis([make_spend_log_row(request_id="parked")]) is True
+ mock_prisma_client.spend_log_transactions = []
+ mock_prisma_client.db.litellm_spendlogs.create_many = AsyncMock()
+
+ await update_spend(
+ prisma_client=mock_prisma_client,
+ db_writer_client=None,
+ proxy_logging_obj=proxy_logging_with_redis,
+ )
+
+ written = mock_prisma_client.db.litellm_spendlogs.create_many.await_args.kwargs["data"]
+ assert [row["request_id"] for row in written] == ["parked"]
+ assert _parked_request_ids(fake_redis) == []
+ assert mock_prisma_client.spend_log_transactions == []
+
+
+@pytest.mark.asyncio
+async def test_recover_parked_spend_logs_re_parks_rows_when_the_enqueue_is_cancelled(
+ mock_prisma_client: Any, make_spend_log_row: Any, proxy_logging_with_redis: MagicMock, fake_redis: Any
+) -> None:
+ buffer = proxy_logging_with_redis.db_spend_update_writer.redis_update_buffer
+ assert await buffer.store_spend_logs_in_redis([make_spend_log_row(request_id="parked")]) is True
+ mock_prisma_client.spend_log_transactions = []
+ await mock_prisma_client._spend_log_transactions_lock.acquire()
+ recovery: Final = asyncio.ensure_future(
+ recover_parked_spend_logs(prisma_client=mock_prisma_client, proxy_logging_obj=proxy_logging_with_redis)
+ )
+ await asyncio.sleep(0.01)
+ assert _parked_request_ids(fake_redis) == []
+
+ recovery.cancel()
+ with pytest.raises(asyncio.CancelledError):
+ await recovery
+ mock_prisma_client._spend_log_transactions_lock.release()
+
+ assert _parked_request_ids(fake_redis) == ["parked"]
+ assert mock_prisma_client.spend_log_transactions == []
+
+
+@pytest.mark.asyncio
+async def test_monitor_spend_logs_queue_pulls_parked_rows_before_each_flush(
+ mock_prisma_client: Any,
+ make_spend_log_row: Any,
+ monkeypatch: pytest.MonkeyPatch,
+ proxy_logging_with_redis: MagicMock,
+) -> None:
+ import litellm.constants as constants_mod
+ import litellm.proxy.utils as utils_mod
+
+ monkeypatch.setattr(constants_mod, "SPEND_LOG_QUEUE_POLL_INTERVAL", 0.0, raising=False)
+ buffer = proxy_logging_with_redis.db_spend_update_writer.redis_update_buffer
+ assert await buffer.store_spend_logs_in_redis([make_spend_log_row(request_id="parked")]) is True
+ mock_prisma_client.spend_log_transactions = []
+ seen: list[list[str]] = []
+ polls = {"n": 0}
+
+ async def _fake_job(*args: Any, **kwargs: Any) -> None:
+ seen.append([row["request_id"] for row in mock_prisma_client.spend_log_transactions])
+ raise asyncio.CancelledError()
+
+ async def _poll(*args: Any, **kwargs: Any) -> bool:
+ polls["n"] += 1
+ if polls["n"] >= 3:
+ raise asyncio.CancelledError()
+ return False
+
+ monkeypatch.setattr(utils_mod, "update_spend_logs_job", _fake_job)
+ monkeypatch.setattr(utils_mod, "_wait_for_spend_log_flush_request", _poll)
+
+ with pytest.raises(asyncio.CancelledError):
+ await _monitor_spend_logs_queue(
+ prisma_client=mock_prisma_client,
+ db_writer_client=None,
+ proxy_logging_obj=proxy_logging_with_redis,
+ )
+
+ assert seen == [["parked"]]
From 72b007a4aeeb9d9279b232d833ce89a5f139c23e Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 22:46:43 +0000
Subject: [PATCH 083/246] test(integration): pricing dimension and provider
cost cases
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/contracts.json | 48 ++
.../cost_calculation/cost_tracking_case.py | 27 +-
.../cost_calculation/cost_tracking_cases.json | 491 ++++++++++++++++++
3 files changed, 564 insertions(+), 2 deletions(-)
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index e86536e13b5..0a74171da29 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -1449,6 +1449,54 @@
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[anthropic.claude-sonnet-5-v1:0-passthrough-converse_stream]": [
"quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dashscope-qwen4-max-tiered_input]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dashscope-qwen4-max-tiered_boundary_stays_lower_tier]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dashscope-qwen4-max-tiered_second_tier]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dashscope-qwen4-max-tiered_above_top_range]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gemini-gemini-3.8-flash-lite-input_below_128k]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gemini-gemini-3.8-flash-lite-input_above_128k]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-cache_creation_1h_above_200k]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[openrouter-anthropic-claude-sonnet-5-provider_reported_cost]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[openrouter-anthropic-claude-sonnet-5-token_priced]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[perplexity-sonar-next-search_queries_and_citations]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[perplexity-sonar-next-no_search]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[deepseek-deepseek-v4-chat-prompt_cache_hit]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[deepseek-deepseek-v4-chat-no_cache_fields_bills_zero_cache]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[xai-grok-5-reasoning_folded_into_completion]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[xai-grok-5-live_search]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[xai-grok-5-provider_reported_cost]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
]
},
"browser": {
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index ba64cab81ed..2da0e969458 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -25,6 +25,14 @@ class ProviderSpecificEntry(BaseModel):
us: float | None = None
+class TieredPrice(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ range: tuple[float, float]
+ input_cost_per_token: float
+ output_cost_per_token: float
+
+
class CostMapEntry(BaseModel):
model_config = ConfigDict(frozen=True, extra="forbid")
@@ -36,11 +44,18 @@ class CostMapEntry(BaseModel):
supports_function_calling: bool | None = None
input_cost_per_token: float | None = None
output_cost_per_token: float | None = None
+ input_cost_per_token_above_128k_tokens: float | None = None
+ output_cost_per_token_above_128k_tokens: float | None = None
cache_read_input_token_cost: float | None = None
cache_creation_input_token_cost: float | None = None
cache_creation_input_token_cost_above_1hr: float | None = None
+ cache_creation_input_token_cost_above_1hr_above_200k_tokens: float | None = None
cache_read_input_token_cost_above_200k_tokens: float | None = None
cache_creation_input_token_cost_above_200k_tokens: float | None = None
+ input_cost_per_token_above_200k_tokens: float | None = None
+ output_cost_per_token_above_200k_tokens: float | None = None
+ citation_cost_per_token: float | None = None
+ tiered_pricing: tuple[TieredPrice, ...] | None = None
output_cost_per_reasoning_token: float | None = None
input_cost_per_audio_token: float | None = None
input_cost_per_second: float | None = None
@@ -53,8 +68,6 @@ class CostMapEntry(BaseModel):
input_cost_per_image_token: float | None = None
output_cost_per_image_token: float | None = None
input_cost_per_video_token: float | None = None
- input_cost_per_token_above_200k_tokens: float | None = None
- output_cost_per_token_above_200k_tokens: float | None = None
input_cost_per_token_flex: float | None = None
output_cost_per_token_flex: float | None = None
input_cost_per_token_priority: float | None = None
@@ -270,6 +283,11 @@ _PROVIDER_PREFIXES: Final[Mapping[str, str]] = MappingProxyType(
"together_ai": "",
"fireworks_ai": "",
"azure": "",
+ "dashscope": "",
+ "openrouter": "",
+ "perplexity": "",
+ "deepseek": "",
+ "xai": "",
}
)
_LITELLM_PARAMS: Final[Mapping[str, Mapping[str, str]]] = MappingProxyType(
@@ -301,6 +319,11 @@ _LITELLM_PARAMS: Final[Mapping[str, Mapping[str, str]]] = MappingProxyType(
"fireworks_ai": MappingProxyType({}),
"azure": MappingProxyType({"api_version": "2025-04-01-preview"}),
"openai": MappingProxyType({}),
+ "dashscope": MappingProxyType({}),
+ "openrouter": MappingProxyType({}),
+ "perplexity": MappingProxyType({}),
+ "deepseek": MappingProxyType({}),
+ "xai": MappingProxyType({}),
}
)
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index 1179dd47592..f6183f79d25 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -1,5 +1,74 @@
{
"cost_map": {
+ "dashscope/qwen4-max": {
+ "litellm_provider": "dashscope",
+ "mode": "chat",
+ "max_input_tokens": 252000,
+ "max_output_tokens": 65536,
+ "tiered_pricing": [
+ {
+ "range": [0, 32000],
+ "input_cost_per_token": 1.3e-06,
+ "output_cost_per_token": 6.5e-06
+ },
+ {
+ "range": [32000, 128000],
+ "input_cost_per_token": 2.6e-06,
+ "output_cost_per_token": 1.3e-05
+ },
+ {
+ "range": [128000, 252000],
+ "input_cost_per_token": 3.1e-06,
+ "output_cost_per_token": 1.55e-05
+ }
+ ]
+ },
+ "gemini/gemini-3.8-flash-lite": {
+ "litellm_provider": "gemini",
+ "mode": "chat",
+ "input_cost_per_token": 1.1e-07,
+ "output_cost_per_token": 4.4e-07,
+ "input_cost_per_token_above_128k_tokens": 2.2e-07,
+ "output_cost_per_token_above_128k_tokens": 8.8e-07
+ },
+ "openrouter/anthropic/claude-sonnet-5": {
+ "litellm_provider": "openrouter",
+ "mode": "chat",
+ "input_cost_per_token": 3.2e-06,
+ "output_cost_per_token": 1.6e-05
+ },
+ "perplexity/sonar-next": {
+ "litellm_provider": "perplexity",
+ "mode": "chat",
+ "input_cost_per_token": 1.05e-06,
+ "output_cost_per_token": 1.05e-06,
+ "citation_cost_per_token": 2e-06,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 0.005,
+ "search_context_size_medium": 0.008,
+ "search_context_size_high": 0.012
+ }
+ },
+ "deepseek/deepseek-v4-chat": {
+ "litellm_provider": "deepseek",
+ "mode": "chat",
+ "input_cost_per_token": 2.9e-07,
+ "output_cost_per_token": 4.3e-07,
+ "cache_read_input_token_cost": 2.9e-08,
+ "cache_creation_input_token_cost": 0.0
+ },
+ "xai/grok-5": {
+ "litellm_provider": "xai",
+ "mode": "chat",
+ "input_cost_per_token": 1.35e-06,
+ "output_cost_per_token": 2.7e-06,
+ "cache_read_input_token_cost": 2.1e-07,
+ "search_context_cost_per_query": {
+ "search_context_size_low": 0.005,
+ "search_context_size_medium": 0.005,
+ "search_context_size_high": 0.005
+ }
+ },
"gpt-5.6": {
"cache_read_input_token_cost": 1.75e-07,
"input_cost_per_audio_token": 4e-05,
@@ -165,6 +234,7 @@
"claude-sonnet-5": {
"cache_creation_input_token_cost": 3.75e-06,
"cache_creation_input_token_cost_above_1hr": 6e-06,
+ "cache_creation_input_token_cost_above_1hr_above_200k_tokens": 1.2e-05,
"cache_creation_input_token_cost_above_200k_tokens": 7.5e-06,
"cache_read_input_token_cost": 3e-07,
"cache_read_input_token_cost_above_200k_tokens": 6e-07,
@@ -27834,5 +27904,426 @@
},
"endpoint": "/bedrock/model/$MODEL/converse-stream"
}
+ ,
+ {
+ "name": "dashscope-qwen4-max-tiered_input",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "dashscope/qwen4-max",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "tiered input"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "dashscope-tiered-input",
+ "object": "chat.completion",
+ "model": "qwen4-max",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252}
+ }
+ },
+ "expected": {"spend": 0.00507, "input_cost": 0.002392, "output_cost": 0.002678, "prompt_tokens": 1840, "completion_tokens": 412}
+ },
+ {
+ "name": "dashscope-qwen4-max-tiered_boundary_stays_lower_tier",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "dashscope/qwen4-max",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "tier boundary"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "dashscope-tiered-boundary",
+ "object": "chat.completion",
+ "model": "qwen4-max",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {"prompt_tokens": 32000, "completion_tokens": 412, "total_tokens": 32412}
+ }
+ },
+ "expected": {"spend": 0.044278, "input_cost": 0.0416, "output_cost": 0.002678, "prompt_tokens": 32000, "completion_tokens": 412}
+ },
+ {
+ "name": "dashscope-qwen4-max-tiered_second_tier",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "dashscope/qwen4-max",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "tier two"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "dashscope-tiered-second",
+ "object": "chat.completion",
+ "model": "qwen4-max",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {"prompt_tokens": 40000, "completion_tokens": 412, "total_tokens": 40412}
+ }
+ },
+ "expected": {"spend": 0.109356, "input_cost": 0.104, "output_cost": 0.005356, "prompt_tokens": 40000, "completion_tokens": 412}
+ },
+ {
+ "name": "dashscope-qwen4-max-tiered_above_top_range",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "dashscope/qwen4-max",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "top tier"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "dashscope-tiered-top",
+ "object": "chat.completion",
+ "model": "qwen4-max",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {"prompt_tokens": 300000, "completion_tokens": 412, "total_tokens": 300412}
+ }
+ },
+ "expected": {"spend": 0.936386, "input_cost": 0.93, "output_cost": 0.006386, "prompt_tokens": 300000, "completion_tokens": 412}
+ },
+ {
+ "name": "gemini-gemini-3.8-flash-lite-input_below_128k",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gemini/gemini-3.8-flash-lite",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "base pricing"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "candidates": [{"content": {"parts": [{"text": "ok"}], "role": "model"}, "finishReason": "STOP", "index": 0}],
+ "usageMetadata": {"promptTokenCount": 1840, "candidatesTokenCount": 412, "totalTokenCount": 2252},
+ "modelVersion": "gemini-3.8-flash-lite"
+ }
+ },
+ "expected": {"spend": 0.00038368, "input_cost": 0.0002024, "output_cost": 0.00018128, "prompt_tokens": 1840, "completion_tokens": 412}
+ },
+ {
+ "name": "gemini-gemini-3.8-flash-lite-input_above_128k",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gemini/gemini-3.8-flash-lite",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "above threshold"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "candidates": [{"content": {"parts": [{"text": "ok"}], "role": "model"}, "finishReason": "STOP", "index": 0}],
+ "usageMetadata": {"promptTokenCount": 130000, "candidatesTokenCount": 412, "totalTokenCount": 130412},
+ "modelVersion": "gemini-3.8-flash-lite"
+ }
+ },
+ "expected": {"spend": 0.02896256, "input_cost": 0.0286, "output_cost": 0.00036256, "prompt_tokens": 130000, "completion_tokens": 412}
+ },
+ {
+ "name": "claude-sonnet-5-cache_creation_1h_above_200k",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "claude-sonnet-5",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "one hour cache"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "msg-cache-1h",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-sonnet-5",
+ "content": [{"type": "text", "text": "ok"}],
+ "stop_reason": "end_turn",
+ "usage": {
+ "input_tokens": 150000,
+ "cache_creation_input_tokens": 60000,
+ "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 60000},
+ "cache_read_input_tokens": 0,
+ "output_tokens": 412
+ }
+ }
+ },
+ "expected": {
+ "spend": 1.62927,
+ "input_cost": 1.62,
+ "output_cost": 0.00927,
+ "cache_creation_cost": 0.72,
+ "prompt_tokens": 210000,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "openrouter-anthropic-claude-sonnet-5-provider_reported_cost",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "openrouter/anthropic/claude-sonnet-5",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "reported cost"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "or-reported",
+ "object": "chat.completion",
+ "model": "anthropic/claude-sonnet-5",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252, "cost": 0.0421}
+ }
+ },
+ "expected": {"spend": 0.0421, "input_cost": 0.0, "output_cost": 0.0421, "prompt_tokens": 1840, "completion_tokens": 412}
+ },
+ {
+ "name": "openrouter-anthropic-claude-sonnet-5-token_priced",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "openrouter/anthropic/claude-sonnet-5",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "token pricing"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "or-token",
+ "object": "chat.completion",
+ "model": "anthropic/claude-sonnet-5",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252}
+ }
+ },
+ "expected": {"spend": 0.01248, "input_cost": 0.005888, "output_cost": 0.006592, "prompt_tokens": 1840, "completion_tokens": 412}
+ },
+ {
+ "name": "perplexity-sonar-next-search_queries_and_citations",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "perplexity/sonar-next",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "search"}],
+ "web_search_options": {"search_context_size": "high"},
+ "stream": false,
+ "allowed_openai_params": ["web_search_options"]
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "pplx-search",
+ "object": "chat.completion",
+ "model": "sonar-next",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "citations": [
+ "https://e.co/aaaaaaaaaaaaaaaaaaaaaaaaaaa",
+ "https://e.co/bbbbbbbbbbbbbbbbbbbbbbbbbbb",
+ "https://e.co/ccccccccccccccccccccccccccc",
+ "https://e.co/ddddddddddddddddddddddddddd"
+ ],
+ "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252, "num_search_queries": 3}
+ }
+ },
+ "expected": {
+ "spend": 0.0174446,
+ "input_cost": 0.002012,
+ "output_cost": 0.0004326,
+ "tool_usage_cost": 0.015,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "perplexity-sonar-next-no_search",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "perplexity/sonar-next",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "no search"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "pplx-no-search",
+ "object": "chat.completion",
+ "model": "sonar-next",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252}
+ }
+ },
+ "expected": {"spend": 0.0023646, "input_cost": 0.001932, "output_cost": 0.0004326, "prompt_tokens": 1840, "completion_tokens": 412}
+ },
+ {
+ "name": "deepseek-deepseek-v4-chat-prompt_cache_hit",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "deepseek/deepseek-v4-chat",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "cache hit"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "deepseek-cache",
+ "object": "chat.completion",
+ "model": "deepseek-v4-chat",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252,
+ "prompt_cache_hit_tokens": 1200,
+ "prompt_cache_miss_tokens": 640,
+ "prompt_tokens_details": {"cached_tokens": 1200}
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.00039756,
+ "input_cost": 0.0002204,
+ "output_cost": 0.00017716,
+ "cache_read_cost": 0.0000348,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "deepseek-deepseek-v4-chat-no_cache_fields_bills_zero_cache",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "deepseek/deepseek-v4-chat",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "no cache"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "deepseek-no-cache",
+ "object": "chat.completion",
+ "model": "deepseek-v4-chat",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252}
+ }
+ },
+ "expected": {
+ "spend": 0.00071076,
+ "input_cost": 0.0005336,
+ "output_cost": 0.00017716,
+ "cache_read_cost": 0.0,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "xai-grok-5-reasoning_folded_into_completion",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "xai/grok-5",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "reasoning"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "xai-reasoning",
+ "object": "chat.completion",
+ "model": "grok-5",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2552,
+ "completion_tokens_details": {"reasoning_tokens": 300}
+ }
+ }
+ },
+ "expected": {"spend": 0.0044064, "input_cost": 0.002484, "output_cost": 0.0019224, "prompt_tokens": 1840, "completion_tokens": 712}
+ },
+ {
+ "name": "xai-grok-5-live_search",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "xai/grok-5",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "live search"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "xai-search",
+ "object": "chat.completion",
+ "model": "grok-5",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252,
+ "server_side_tool_usage_details": {"web_search_calls": 2}
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0135964,
+ "input_cost": 0.002484,
+ "output_cost": 0.0011224,
+ "tool_usage_cost": 0.01,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "xai-grok-5-provider_reported_cost",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "xai/grok-5",
+ "request": {
+ "model": "$MODEL",
+ "messages": [{"role": "user", "content": "reported xai cost"}],
+ "stream": false,
+ "allowed_openai_params": []
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "xai-reported",
+ "object": "chat.completion",
+ "model": "grok-5",
+ "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252,
+ "cost": 0.0421
+ }
+ }
+ },
+ "expected": {"spend": 0.0421, "input_cost": 0.0, "output_cost": 0.0421, "prompt_tokens": 1840, "completion_tokens": 412}
+ }
]
}
From c7113f043afe69582265d055d3b99795f073d555 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 23:01:25 +0000
Subject: [PATCH 084/246] test(integration): use per-run request ids, drop
unbillable perplexity search case
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/contracts.json | 3 -
.../cost_calculation/cost_tracking_case.py | 9 ++-
.../cost_calculation/cost_tracking_cases.json | 72 ++++++-------------
.../cost_calculation/test_cost_tracking.py | 6 +-
4 files changed, 33 insertions(+), 57 deletions(-)
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index 0a74171da29..15ddaf14fd4 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -1477,9 +1477,6 @@
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[openrouter-anthropic-claude-sonnet-5-token_priced]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
],
- "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[perplexity-sonar-next-search_queries_and_citations]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
- ],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[perplexity-sonar-next-no_search]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
],
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index 2da0e969458..269e1edb9eb 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -54,7 +54,6 @@ class CostMapEntry(BaseModel):
cache_creation_input_token_cost_above_200k_tokens: float | None = None
input_cost_per_token_above_200k_tokens: float | None = None
output_cost_per_token_above_200k_tokens: float | None = None
- citation_cost_per_token: float | None = None
tiered_pricing: tuple[TieredPrice, ...] | None = None
output_cost_per_reasoning_token: float | None = None
input_cost_per_audio_token: float | None = None
@@ -263,6 +262,13 @@ class CostTrackingTestCase(BaseModel):
return "bedrock"
return None
+ @property
+ def reports_provider_cost(self) -> bool:
+ if not isinstance(self.response, JsonResponse):
+ return False
+ usage: Final = self.response.body.get("usage")
+ return isinstance(usage, dict) and isinstance(usage.get("cost"), (int, float))
+
class _CasesFile(BaseModel):
model_config = ConfigDict(frozen=True, extra="forbid")
@@ -409,6 +415,7 @@ def data_errors() -> tuple[str, ...]:
not case.expected.breakdown_persisted
and case.passthrough_provider is None
and case.rates.mode != "image_generation"
+ and not case.reports_provider_cost
)
or (not case.expected.cost_header and case.passthrough_provider is None)
)
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index f6183f79d25..ead2435f2ac 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -42,7 +42,6 @@
"mode": "chat",
"input_cost_per_token": 1.05e-06,
"output_cost_per_token": 1.05e-06,
- "citation_cost_per_token": 2e-06,
"search_context_cost_per_query": {
"search_context_size_low": 0.005,
"search_context_size_medium": 0.008,
@@ -27918,7 +27917,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "dashscope-tiered-input",
+ "id": "$REQUEST_ID",
"object": "chat.completion",
"model": "qwen4-max",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
@@ -27940,7 +27939,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "dashscope-tiered-boundary",
+ "id": "$REQUEST_ID",
"object": "chat.completion",
"model": "qwen4-max",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
@@ -27962,7 +27961,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "dashscope-tiered-second",
+ "id": "$REQUEST_ID",
"object": "chat.completion",
"model": "qwen4-max",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
@@ -27984,7 +27983,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "dashscope-tiered-top",
+ "id": "$REQUEST_ID",
"object": "chat.completion",
"model": "qwen4-max",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
@@ -28046,7 +28045,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "msg-cache-1h",
+ "id": "msg_$REQUEST_ID",
"type": "message",
"role": "assistant",
"model": "claude-sonnet-5",
@@ -28083,14 +28082,21 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "or-reported",
+ "id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "anthropic/claude-sonnet-5",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
"usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252, "cost": 0.0421}
}
},
- "expected": {"spend": 0.0421, "input_cost": 0.0, "output_cost": 0.0421, "prompt_tokens": 1840, "completion_tokens": 412}
+ "expected": {
+ "spend": 0.0421,
+ "input_cost": 0.0,
+ "output_cost": 0.0421,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "breakdown_persisted": false
+ }
},
{
"name": "openrouter-anthropic-claude-sonnet-5-token_priced",
@@ -28105,7 +28111,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "or-token",
+ "id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "anthropic/claude-sonnet-5",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
@@ -28114,42 +28120,6 @@
},
"expected": {"spend": 0.01248, "input_cost": 0.005888, "output_cost": 0.006592, "prompt_tokens": 1840, "completion_tokens": 412}
},
- {
- "name": "perplexity-sonar-next-search_queries_and_citations",
- "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
- "model": "perplexity/sonar-next",
- "request": {
- "model": "$MODEL",
- "messages": [{"role": "user", "content": "search"}],
- "web_search_options": {"search_context_size": "high"},
- "stream": false,
- "allowed_openai_params": ["web_search_options"]
- },
- "response": {
- "content_type": "application/json",
- "body": {
- "id": "pplx-search",
- "object": "chat.completion",
- "model": "sonar-next",
- "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
- "citations": [
- "https://e.co/aaaaaaaaaaaaaaaaaaaaaaaaaaa",
- "https://e.co/bbbbbbbbbbbbbbbbbbbbbbbbbbb",
- "https://e.co/ccccccccccccccccccccccccccc",
- "https://e.co/ddddddddddddddddddddddddddd"
- ],
- "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252, "num_search_queries": 3}
- }
- },
- "expected": {
- "spend": 0.0174446,
- "input_cost": 0.002012,
- "output_cost": 0.0004326,
- "tool_usage_cost": 0.015,
- "prompt_tokens": 1840,
- "completion_tokens": 412
- }
- },
{
"name": "perplexity-sonar-next-no_search",
"covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
@@ -28163,7 +28133,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "pplx-no-search",
+ "id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "sonar-next",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
@@ -28185,7 +28155,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "deepseek-cache",
+ "id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "deepseek-v4-chat",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
@@ -28221,7 +28191,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "deepseek-no-cache",
+ "id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "deepseek-v4-chat",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
@@ -28250,7 +28220,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "xai-reasoning",
+ "id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "grok-5",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
@@ -28277,7 +28247,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "xai-search",
+ "id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "grok-5",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
@@ -28311,7 +28281,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "xai-reported",
+ "id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "grok-5",
"choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index c2ac6e77a3f..d97bfe642a2 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -148,12 +148,14 @@ def _assert_breakdown(
):
if expected_component is None:
continue
- assert actual_component is not None and approx_equal(actual_component, expected_component), (
+ actual_value: Final = actual_component or 0.0
+ assert approx_equal(actual_value, expected_component), (
f"{case.name}: {field} {actual_component} != expected {expected_component}"
)
if expected.cost_header and case.response.content_type == "application/json":
header: Final = response.headers.get(header_name)
- assert header is not None and approx_equal(float(header), expected_component), (
+ header_value: Final = float(header) if header is not None else 0.0
+ assert approx_equal(header_value, expected_component), (
f"{case.name}: {header_name} {header} != expected {expected_component}"
)
if expected.cost_header and case.response.content_type == "application/json" and any(
From 484524b70b9cd28108547b201b2fa88e1fce27fb Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 16:04:13 -0700
Subject: [PATCH 085/246] fix(auth): fail closed when the team membership
lookup hits a db outage
---
litellm/proxy/auth/auth_checks.py | 28 ++++----
.../proxy/auth/test_auth_checks.py | 68 ++++++++++++++-----
.../proxy/auth/test_resolvers_grants.py | 28 ++++++++
3 files changed, 90 insertions(+), 34 deletions(-)
diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index 61d2fa572a1..32ae9bc81df 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -2296,23 +2296,19 @@ async def _load_team_membership_on_cache_miss(
parent_otel_span: Span | None,
proxy_logging_obj: ProxyLogging | None,
) -> LiteLLM_TeamMembership | None:
- try:
- redis_cached: Final[object] = await user_api_key_cache.async_get_cache(key=cache_key)
- redis_membership: Final = _membership_from_cached_payload(redis_cached)
- if not isinstance(redis_membership, _TeamMembershipCacheMiss):
- return redis_membership
+ redis_cached: Final[object] = await user_api_key_cache.async_get_cache(key=cache_key)
+ redis_membership: Final = _membership_from_cached_payload(redis_cached)
+ if not isinstance(redis_membership, _TeamMembershipCacheMiss):
+ return redis_membership
- return await _fetch_team_membership_from_db(
- user_id=user_id,
- team_id=team_id,
- prisma_client=prisma_client,
- user_api_key_cache=user_api_key_cache,
- parent_otel_span=parent_otel_span,
- proxy_logging_obj=proxy_logging_obj,
- )
- except Exception:
- verbose_proxy_logger.exception("Error getting team membership")
- return None
+ return await _fetch_team_membership_from_db(
+ user_id=user_id,
+ team_id=team_id,
+ prisma_client=prisma_client,
+ user_api_key_cache=user_api_key_cache,
+ parent_otel_span=parent_otel_span,
+ proxy_logging_obj=proxy_logging_obj,
+ )
async def get_team_membership(
diff --git a/tests/test_litellm/proxy/auth/test_auth_checks.py b/tests/test_litellm/proxy/auth/test_auth_checks.py
index 1ae986db23b..233660b634a 100644
--- a/tests/test_litellm/proxy/auth/test_auth_checks.py
+++ b/tests/test_litellm/proxy/auth/test_auth_checks.py
@@ -7198,7 +7198,7 @@ async def test_common_checks_skips_membership_load_when_no_check_reads_it():
@pytest.mark.asyncio
-async def test_get_team_membership_db_error_returns_none_and_retries_next_call():
+async def test_get_team_membership_db_error_surfaces_and_retries_next_call():
from litellm.proxy.auth.auth_checks import get_team_membership
from litellm.proxy.common_utils.user_api_key_cache import team_membership_reservation_cache_key
@@ -7210,12 +7210,13 @@ async def test_get_team_membership_db_error_returns_none_and_retries_next_call()
)
cache = UserApiKeyCache()
- failed = await get_team_membership(
- user_id="u-fail",
- team_id="t-fail",
- prisma_client=mock_prisma_client,
- user_api_key_cache=cache,
- )
+ with pytest.raises(RuntimeError, match="db down"):
+ await get_team_membership(
+ user_id="u-fail",
+ team_id="t-fail",
+ prisma_client=mock_prisma_client,
+ user_api_key_cache=cache,
+ )
cached_after_failure = await cache.async_get_cache(
key=team_membership_reservation_cache_key(user_id="u-fail", team_id="t-fail")
)
@@ -7226,24 +7227,55 @@ async def test_get_team_membership_db_error_returns_none_and_retries_next_call()
user_api_key_cache=cache,
)
- assert failed is None
assert cached_after_failure is None
assert recovered is not None
assert recovered.user_id == "u-fail"
assert mock_prisma_client.db.litellm_teammembership.find_unique.await_count == 2
-@pytest.mark.asyncio
-async def test_get_team_membership_string_prisma_client_returns_none():
- from litellm.proxy.auth.auth_checks import get_team_membership
+class _UnreachableMembershipPrisma:
+ class db:
+ class litellm_teammembership:
+ @staticmethod
+ async def find_unique(where: dict[str, dict[str, str]], include: dict[str, bool]) -> None:
+ raise httpx.ConnectError("All connection attempts failed")
- result = await get_team_membership(
- user_id="u-str",
- team_id="t-str",
- prisma_client="hello-world",
- user_api_key_cache=UserApiKeyCache(),
- )
- assert result is None
+
+def _restricted_member_check_deps() -> dict[str, object]:
+ from litellm.proxy.common_utils.user_api_key_cache import UserApiKeyCache
+ from litellm.proxy.utils import ProxyLogging
+
+ cache = UserApiKeyCache()
+ return {
+ "team_object": LiteLLM_TeamTable(team_id="team-outage", models=["claude-sonnet-5"]),
+ "valid_token": UserAPIKeyAuth(token="hashed-fake", user_id="bob", team_id="team-outage"),
+ "prisma_client": _UnreachableMembershipPrisma(),
+ "user_api_key_cache": cache,
+ "proxy_logging_obj": ProxyLogging(user_api_key_cache=cache),
+ }
+
+
+@pytest.mark.asyncio
+async def test_check_team_member_model_access_fails_closed_when_the_membership_read_hits_a_db_outage():
+ """Regression: with the member's row uncached and the database unreachable, the loader used to swallow the
+ transport error and return None, which every check reads as "no per-member restriction", so a member
+ limited to other models got a 200. The outage must surface as the 503 the rest of auth answers with."""
+ from litellm.proxy.auth.auth_checks import _check_team_member_model_access
+ from litellm.proxy.auth.auth_exception_handler import _as_proxy_exception
+
+ with pytest.raises(httpx.ConnectError) as raised:
+ await _check_team_member_model_access(
+ model="claude-sonnet-5", llm_router=None, **_restricted_member_check_deps()
+ )
+
+ surfaced = _as_proxy_exception(raised.value)
+ assert (surfaced.code, surfaced.type) == ("503", ProxyErrorTypes.no_db_connection)
+
+
+@pytest.mark.asyncio
+async def test_check_team_member_budget_fails_closed_when_the_membership_read_hits_a_db_outage():
+ with pytest.raises(httpx.ConnectError):
+ await _check_team_member_budget(user_object=None, **_restricted_member_check_deps())
@pytest.mark.asyncio
diff --git a/tests/test_litellm/proxy/auth/test_resolvers_grants.py b/tests/test_litellm/proxy/auth/test_resolvers_grants.py
index 3f6d943bf98..415d1191b5d 100644
--- a/tests/test_litellm/proxy/auth/test_resolvers_grants.py
+++ b/tests/test_litellm/proxy/auth/test_resolvers_grants.py
@@ -1,4 +1,5 @@
from fastapi import HTTPException
+import httpx
import pytest
from litellm.proxy._types import (
@@ -8,6 +9,7 @@ from litellm.proxy._types import (
ProxyException,
)
from litellm.proxy.auth.auth_checks import TeamNotFoundError, UserNotFoundError
+from litellm.proxy.common_utils.user_api_key_cache import UserApiKeyCache
from litellm.proxy.auth.resolvers.grants import (
GrantResolver,
LookupDegraded,
@@ -172,6 +174,32 @@ async def test_resolve_identity_lets_loader_errors_surface():
await loaders.resolver().resolve_identity(UserLookup(user_id=USER_ID), team_id=None)
+class _UnreachableMembershipPrisma:
+ class db:
+ class litellm_teammembership:
+ @staticmethod
+ async def find_unique(where: dict[str, dict[str, str]], include: dict[str, bool]) -> None:
+ raise httpx.ConnectError("All connection attempts failed")
+
+
+async def test_resolve_marks_a_membership_read_that_hits_a_db_outage_as_degraded():
+ """Regression: the real membership loader swallowed a database transport error into None, so this outcome
+ was ResolvedGrants with no membership, never LookupDegraded, and a member's own model or budget limits
+ silently dropped for the request."""
+ loaders = _Loaders(user=_user(), team=_team())
+ resolver = GrantResolver(
+ _UnreachableMembershipPrisma(),
+ UserApiKeyCache(),
+ load_user=loaders.load_user,
+ load_team=loaders.load_team,
+ )
+
+ outcome = await resolver.resolve(UserLookup(user_id=USER_ID), team_id=TEAM_ID)
+
+ assert isinstance(outcome, LookupDegraded)
+ assert isinstance(outcome.error, httpx.ConnectError)
+
+
def test_raise_public_maps_a_deleted_user_to_401():
with pytest.raises(ProxyException) as exc_info:
raise_public(UserGone(user_id=USER_ID))
From 789f0c61bf31a885ca8fd7f0f951e6078b37b78c Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 23:12:43 +0000
Subject: [PATCH 086/246] test(integration): only accept omitted breakdown
components when the case expects zero, fix xai output cost
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../cost_calculation/cost_tracking_cases.json | 2 +-
.../cost_calculation/test_cost_tracking.py | 15 +++++++--------
2 files changed, 8 insertions(+), 9 deletions(-)
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index ead2435f2ac..3a52dfee93a 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -28262,7 +28262,7 @@
"expected": {
"spend": 0.0135964,
"input_cost": 0.002484,
- "output_cost": 0.0011224,
+ "output_cost": 0.0011124,
"tool_usage_cost": 0.01,
"prompt_tokens": 1840,
"completion_tokens": 412
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index d97bfe642a2..8c5f306dd9d 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -148,16 +148,15 @@ def _assert_breakdown(
):
if expected_component is None:
continue
- actual_value: Final = actual_component or 0.0
- assert approx_equal(actual_value, expected_component), (
- f"{case.name}: {field} {actual_component} != expected {expected_component}"
- )
+ omitted_component_allowed: Final = expected_component == 0.0
+ assert (actual_component is None and omitted_component_allowed) or (
+ actual_component is not None and approx_equal(actual_component, expected_component)
+ ), f"{case.name}: {field} {actual_component} != expected {expected_component}"
if expected.cost_header and case.response.content_type == "application/json":
header: Final = response.headers.get(header_name)
- header_value: Final = float(header) if header is not None else 0.0
- assert approx_equal(header_value, expected_component), (
- f"{case.name}: {header_name} {header} != expected {expected_component}"
- )
+ assert (header is None and omitted_component_allowed) or (
+ header is not None and approx_equal(float(header), expected_component)
+ ), f"{case.name}: {header_name} {header} != expected {expected_component}"
if expected.cost_header and case.response.content_type == "application/json" and any(
component is not None
for component in (
From d7b1318e55d19dc75388135aca884da36fca3e33 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 16:17:39 -0700
Subject: [PATCH 087/246] fix(azure_ai): bridge gpt-5.4+ function tools with
reasoning to the Foundry Responses API
---
litellm/main.py | 20 +++--
tests/test_litellm/test_main.py | 145 ++++++++++++++++++++++++++++++++
2 files changed, 159 insertions(+), 6 deletions(-)
diff --git a/litellm/main.py b/litellm/main.py
index 34410f9497c..6ab2fcd4b03 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -100,6 +100,7 @@ from litellm.litellm_core_utils.prompt_templates.common_utils import (
from litellm.litellm_core_utils.request_timeout_resolver import (
get_configured_request_timeout,
)
+from litellm.llms.azure_ai.common_utils import azure_ai_supports_native_responses
from litellm.llms.base_llm import BaseConfig, BaseImageGenerationConfig
from litellm.llms.base_llm.base_model_iterator import (
convert_model_response_to_streaming,
@@ -1118,16 +1119,23 @@ def responses_api_bridge_check(
reasoning_active = reasoning_effort != "none"
# The reasoning+tools constraint is enforced by the real OpenAI backend behind any api.openai.com
# host (the default URL or a PrivateLink hostname such as .privatelink.api.openai.com) and
- # by Azure OpenAI. Resolve the effective base arg>global>env>default exactly as the chat handler
- # does, so a custom base set via litellm.api_base or OPENAI_BASE_URL/OPENAI_API_BASE isn't misread
- # as the default and bridged to a /responses route it lacks. A whitespace-only base collapses to
- # the default too.
+ # by Azure OpenAI, whether reached through the azure provider or as a Foundry OpenAI v1 host through
+ # the azure_ai provider. Resolve the effective OpenAI base arg>global>env>default exactly as the chat
+ # handler does, so a custom base set via litellm.api_base or OPENAI_BASE_URL/OPENAI_API_BASE isn't
+ # misread as the default and bridged to a /responses route it lacks. A whitespace-only base
+ # collapses to the default too.
resolved_api_base: Final = _resolve_openai_api_base(api_base).strip()
+ on_foundry_openai_endpoint: Final = custom_llm_provider == "azure_ai" and azure_ai_supports_native_responses(
+ model, api_base
+ )
on_constraint_enforcing_endpoint: Final = (
- custom_llm_provider == "azure" or resolved_api_base == "" or _is_openai_backed_api_base(resolved_api_base)
+ custom_llm_provider == "azure"
+ or on_foundry_openai_endpoint
+ or resolved_api_base == ""
+ or _is_openai_backed_api_base(resolved_api_base)
)
if (
- custom_llm_provider in ("openai", "azure")
+ (custom_llm_provider in ("openai", "azure") or on_foundry_openai_endpoint)
and model_info.get("mode") != "responses"
and OpenAIGPT5Config.is_model_gpt_5_model(model)
and not OpenAIGPT5Config.is_model_gpt_5_search_model(model)
diff --git a/tests/test_litellm/test_main.py b/tests/test_litellm/test_main.py
index 3c90675d04d..e0ca0c1cbf9 100644
--- a/tests/test_litellm/test_main.py
+++ b/tests/test_litellm/test_main.py
@@ -1308,6 +1308,71 @@ def test_responses_api_bridge_check_azure_with_api_base_and_unset_effort_routes(
assert model_info.get("mode") == "responses"
+_FOUNDRY_API_BASE: Final = "https://myproject.services.ai.azure.com"
+_FOUNDRY_FUNCTION_TOOL: Final = ({"type": "function", "function": {"name": "get_weather"}},)
+
+
+@pytest.mark.parametrize(
+ "api_base, reasoning_effort",
+ [
+ pytest.param(_FOUNDRY_API_BASE, None, id="foundry-host-unset-effort"),
+ pytest.param(_FOUNDRY_API_BASE, "low", id="foundry-host-explicit-effort"),
+ pytest.param("https://myresource.openai.azure.com", None, id="azure-openai-host-unset-effort"),
+ ],
+)
+def test_responses_api_bridge_check_azure_ai_foundry_gpt_5_4_plus_tools_routes_to_responses(api_base, reasoning_effort):
+ """
+ An azure_ai deployment of a gpt-5.4+ model on a Foundry OpenAI v1 host is the same Azure OpenAI
+ backend the azure provider bridges: its chat surface rejects function tools whenever reasoning is
+ on, and for gpt-6-astra it rejects reasoning_effort "none" too, so the Responses route on the same
+ endpoint is the only way to serve the request. Regression guard: the gate used to bridge only the
+ openai and azure providers, so these requests died at Foundry's /models/chat/completions.
+ """
+ from litellm.main import responses_api_bridge_check
+
+ model_info, model = responses_api_bridge_check(
+ model="gpt-6-astra",
+ custom_llm_provider="azure_ai",
+ tools=_FOUNDRY_FUNCTION_TOOL,
+ reasoning_effort=reasoning_effort,
+ api_base=api_base,
+ )
+
+ assert model == "gpt-6-astra"
+ assert model_info.get("mode") == "responses"
+
+
+@pytest.mark.parametrize(
+ "model_name, api_base, reasoning_effort",
+ [
+ pytest.param("gpt-6-astra", _FOUNDRY_API_BASE, "none", id="explicit-none-stays-chat"),
+ pytest.param("gpt-6-astra", "https://myproject.models.ai.azure.com", None, id="serverless-host-stays-chat"),
+ pytest.param("Mistral-large-2411", _FOUNDRY_API_BASE, None, id="non-gpt-5-model-stays-chat"),
+ pytest.param("claude-opus-4-1", _FOUNDRY_API_BASE, None, id="claude-on-foundry-stays-chat"),
+ ],
+)
+def test_responses_api_bridge_check_azure_ai_without_foundry_responses_route_stays_chat(
+ model_name, api_base, reasoning_effort
+):
+ """
+ The azure_ai bridge fires only where the Foundry Responses config is selectable: a serverless
+ host, a non-OpenAI model, and claude-on-Foundry have no Responses route to bridge to, and an
+ explicit reasoning_effort "none" keeps the request chat-servable on the same terms as azure.
+ """
+ from litellm.main import responses_api_bridge_check
+
+ model_info, model = responses_api_bridge_check(
+ model=model_name,
+ custom_llm_provider="azure_ai",
+ tools=_FOUNDRY_FUNCTION_TOOL,
+ reasoning_effort=reasoning_effort,
+ api_base=api_base,
+ )
+
+ assert model == model_name
+ assert model_info.get("mode") != "responses"
+
+
def test_responses_api_bridge_check_older_gpt_5_tools_without_reasoning_stays_chat():
"""Pre-5.4 GPT-5 names keep the old boundary: tools alone never bridge."""
from litellm.main import responses_api_bridge_check
@@ -1488,6 +1553,86 @@ def test_responses_bridge_preserves_reasoning_effort_with_drop_params(
assert request_body["reasoning"] == {"effort": "high"}
+_FOUNDRY_RESPONSES_FUNCTION_CALL_BODY: Final = {
+ "id": "resp_foundry",
+ "object": "response",
+ "created_at": 1789852145,
+ "status": "completed",
+ "model": "gpt-6-astra",
+ "output": [
+ {
+ "id": "fc_1",
+ "type": "function_call",
+ "status": "completed",
+ "arguments": '{"city":"Paris"}',
+ "call_id": "call_1",
+ "name": "get_weather",
+ }
+ ],
+ "parallel_tool_calls": True,
+ "usage": {
+ "input_tokens": 53,
+ "output_tokens": 18,
+ "total_tokens": 71,
+ "output_tokens_details": {"reasoning_tokens": 0},
+ },
+ "error": None,
+ "incomplete_details": None,
+ "instructions": None,
+ "metadata": {},
+ "temperature": 1.0,
+ "tool_choice": "auto",
+ "tools": [],
+ "top_p": 1.0,
+ "max_output_tokens": 200,
+ "previous_response_id": None,
+ "reasoning": {"effort": "medium", "summary": None},
+ "truncation": "disabled",
+ "user": None,
+}
+
+
+def test_completion_bridges_azure_ai_foundry_gpt_5_4_plus_function_tools_to_responses(
+ respx_mock: respx.MockRouter, monkeypatch: pytest.MonkeyPatch
+):
+ """
+ The bridged azure_ai call is posted to /openai/v1/responses with the tool in Responses
+ shape and Foundry's api-key header, never to /models/chat/completions, and comes back as a
+ chat completion carrying the function call.
+ """
+ monkeypatch.setattr(litellm, "disable_aiohttp_transport", True)
+ responses_route: Final = respx_mock.post(f"{_FOUNDRY_API_BASE}/openai/v1/responses").respond(
+ json=_FOUNDRY_RESPONSES_FUNCTION_CALL_BODY
+ )
+
+ response: Final = litellm.completion(
+ model="azure_ai/gpt-6-astra",
+ messages=[{"role": "user", "content": "What is the weather in Paris? Use the tool."}],
+ tools=[
+ {
+ "type": "function",
+ "function": {
+ "name": "get_weather",
+ "description": "Get weather for a city",
+ "parameters": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]},
+ },
+ }
+ ],
+ max_tokens=200,
+ api_base=_FOUNDRY_API_BASE,
+ api_key="fake-foundry-key",
+ )
+
+ assert [str(call.request.url) for call in respx_mock.calls] == [f"{_FOUNDRY_API_BASE}/openai/v1/responses"]
+ request: Final = responses_route.calls[0].request
+ request_body: Final = json.loads(request.content)
+ assert request_body["tools"][0]["type"] == "function"
+ assert request_body["tools"][0]["name"] == "get_weather"
+ assert request.headers["api-key"] == "fake-foundry-key"
+ assert response.choices[0].finish_reason == "tool_calls"
+ assert response.choices[0].message.tool_calls[0].function.name == "get_weather"
+
+
@pytest.mark.parametrize(
"model, model_info, expected_model_param, expected_base_model_param",
[
From b3b280d46381552b0624261b57e6911d08469fb9 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 16:32:22 -0700
Subject: [PATCH 088/246] test(auth): model the membership row read in the
fakes the loader now reaches
---
tests/proxy_unit_tests/test_user_api_key_auth.py | 10 +++++++++-
.../mcp_server/test_discoverable_endpoints.py | 4 +++-
tests/test_litellm/proxy/auth/test_auth_checks.py | 3 ---
tests/test_litellm/proxy/auth/test_resolvers_grants.py | 3 ---
4 files changed, 12 insertions(+), 8 deletions(-)
diff --git a/tests/proxy_unit_tests/test_user_api_key_auth.py b/tests/proxy_unit_tests/test_user_api_key_auth.py
index a8fce58c60b..f5e8d861d79 100644
--- a/tests/proxy_unit_tests/test_user_api_key_auth.py
+++ b/tests/proxy_unit_tests/test_user_api_key_auth.py
@@ -201,6 +201,14 @@ async def test_returned_user_api_key_auth(user_role, expected_role):
assert new_obj.user_role == expected_role
+class _NoMembershipRowPrisma:
+ class db:
+ class litellm_teammembership:
+ @staticmethod
+ async def find_unique(where: dict[str, dict[str, str]], include: dict[str, bool]) -> None:
+ return None
+
+
@pytest.mark.parametrize("key_ownership", ["user_key", "team_key"])
@pytest.mark.asyncio
async def test_aaauser_personal_budgets(key_ownership):
@@ -253,7 +261,7 @@ async def test_aaauser_personal_budgets(key_ownership):
setattr(litellm.proxy.proxy_server, "user_api_key_cache", user_api_key_cache)
setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
- setattr(litellm.proxy.proxy_server, "prisma_client", "hello-world")
+ setattr(litellm.proxy.proxy_server, "prisma_client", _NoMembershipRowPrisma())
request = Request(scope={"type": "http"})
request._url = URL(url="/chat/completions")
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py
index d7666f5e694..bed12892665 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py
@@ -11515,7 +11515,9 @@ def jwt_oauth_identity(monkeypatch: pytest.MonkeyPatch) -> tuple["JWTHandler", "
monkeypatch.setattr(proxy_server, "general_settings", {"enable_jwt_auth": True})
monkeypatch.setattr(proxy_server, "premium_user", True)
monkeypatch.setattr(proxy_server, "user_api_key_cache", cache)
- monkeypatch.setattr(proxy_server, "prisma_client", MagicMock())
+ prisma: Final = MagicMock()
+ prisma.db.litellm_teammembership.find_unique = AsyncMock(return_value=None)
+ monkeypatch.setattr(proxy_server, "prisma_client", prisma)
return handler, signing_key
diff --git a/tests/test_litellm/proxy/auth/test_auth_checks.py b/tests/test_litellm/proxy/auth/test_auth_checks.py
index 233660b634a..4f3e31fd70d 100644
--- a/tests/test_litellm/proxy/auth/test_auth_checks.py
+++ b/tests/test_litellm/proxy/auth/test_auth_checks.py
@@ -7257,9 +7257,6 @@ def _restricted_member_check_deps() -> dict[str, object]:
@pytest.mark.asyncio
async def test_check_team_member_model_access_fails_closed_when_the_membership_read_hits_a_db_outage():
- """Regression: with the member's row uncached and the database unreachable, the loader used to swallow the
- transport error and return None, which every check reads as "no per-member restriction", so a member
- limited to other models got a 200. The outage must surface as the 503 the rest of auth answers with."""
from litellm.proxy.auth.auth_checks import _check_team_member_model_access
from litellm.proxy.auth.auth_exception_handler import _as_proxy_exception
diff --git a/tests/test_litellm/proxy/auth/test_resolvers_grants.py b/tests/test_litellm/proxy/auth/test_resolvers_grants.py
index 415d1191b5d..e61269ec1c7 100644
--- a/tests/test_litellm/proxy/auth/test_resolvers_grants.py
+++ b/tests/test_litellm/proxy/auth/test_resolvers_grants.py
@@ -183,9 +183,6 @@ class _UnreachableMembershipPrisma:
async def test_resolve_marks_a_membership_read_that_hits_a_db_outage_as_degraded():
- """Regression: the real membership loader swallowed a database transport error into None, so this outcome
- was ResolvedGrants with no membership, never LookupDegraded, and a member's own model or budget limits
- silently dropped for the request."""
loaders = _Loaders(user=_user(), team=_team())
resolver = GrantResolver(
_UnreachableMembershipPrisma(),
From f2b6c0da81ca247a3b6e7e52c85c51d313310a78 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 16:41:12 -0700
Subject: [PATCH 089/246] feat(bedrock_mantle): serve /v1/messages for Claude
models on Mantle's native Anthropic Messages API
---
.../messages/handler.py | 3 +-
.../llms/bedrock_mantle/messages/__init__.py | 0
.../bedrock_mantle/messages/transformation.py | 101 +++++
litellm/utils.py | 7 +
..._bedrock_mantle_messages_transformation.py | 346 ++++++++++++++++++
tests/test_litellm/test_utils.py | 22 ++
6 files changed, 478 insertions(+), 1 deletion(-)
create mode 100644 litellm/llms/bedrock_mantle/messages/__init__.py
create mode 100644 litellm/llms/bedrock_mantle/messages/transformation.py
create mode 100644 tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py
diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
index 87a4801f987..e1309ea4063 100644
--- a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
+++ b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
@@ -501,6 +501,7 @@ def anthropic_messages_handler(
api_base=litellm_params.api_base,
api_key=litellm_params.api_key,
)
+ resolved_api_base: Final = dynamic_api_base if dynamic_api_base is not None else api_base
# Store agentic loop params in logging object for agentic hooks
# This provides original request context needed for follow-up calls
@@ -662,7 +663,7 @@ def anthropic_messages_handler(
litellm_params=litellm_params,
logging_obj=litellm_logging_obj,
api_key=api_key,
- api_base=api_base,
+ api_base=resolved_api_base,
stream=stream,
kwargs=kwargs,
)
diff --git a/litellm/llms/bedrock_mantle/messages/__init__.py b/litellm/llms/bedrock_mantle/messages/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/litellm/llms/bedrock_mantle/messages/transformation.py b/litellm/llms/bedrock_mantle/messages/transformation.py
new file mode 100644
index 00000000000..a4365cfa49b
--- /dev/null
+++ b/litellm/llms/bedrock_mantle/messages/transformation.py
@@ -0,0 +1,101 @@
+from collections.abc import Mapping
+from typing import Final
+
+from litellm.llms.anthropic.experimental_pass_through.messages.transformation import (
+ DEFAULT_ANTHROPIC_API_VERSION,
+)
+from litellm.llms.bedrock.base_aws_llm import BaseAWSLLM
+from litellm.llms.bedrock.common_utils import MANTLE_MESSAGES_PATH
+from litellm.llms.bedrock.messages.mantle_transformation import AmazonMantleMessagesConfig
+from litellm.llms.bedrock_mantle.common_utils import (
+ MANTLE_HOST_RE,
+ BedrockMantleAuthMixin,
+ resolve_mantle_region,
+)
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.router import GenericLiteLLMParams
+
+_BASE_SUFFIXES_TO_STRIP: Final = (
+ MANTLE_MESSAGES_PATH,
+ "/v1/messages",
+ "/messages",
+ "/anthropic/v1",
+ "/openai/v1",
+ "/v1",
+)
+
+
+def build_mantle_native_messages_url(api_base: str | None, litellm_params: Mapping[str, object]) -> str:
+ region: Final = resolve_mantle_region({**litellm_params, "api_base": api_base})
+ configured: Final = (
+ api_base or get_secret_str("BEDROCK_MANTLE_API_BASE") or f"https://bedrock-mantle.{region}.api.aws"
+ ).rstrip("/")
+ stripped: Final = next(
+ (configured[: -len(suffix)] for suffix in _BASE_SUFFIXES_TO_STRIP if configured.endswith(suffix)),
+ configured,
+ )
+ host: Final = f"https://bedrock-mantle.{region}.api.aws" if MANTLE_HOST_RE.match(stripped) else stripped
+ return f"{host}{MANTLE_MESSAGES_PATH}"
+
+
+class BedrockMantleAnthropicMessagesConfig(BedrockMantleAuthMixin, AmazonMantleMessagesConfig):
+ def __init__(self, aws_signer: BaseAWSLLM | None = None) -> None:
+ AmazonMantleMessagesConfig.__init__(self)
+ self._aws_signer = aws_signer or self
+
+ @property
+ def custom_llm_provider(self) -> str | None:
+ return "bedrock_mantle"
+
+ def get_complete_url(
+ self,
+ api_base: str | None,
+ api_key: str | None,
+ model: str,
+ optional_params: dict,
+ litellm_params: dict,
+ stream: bool | None = None,
+ ) -> str:
+ return build_mantle_native_messages_url(api_base=api_base, litellm_params=litellm_params)
+
+ def validate_anthropic_messages_environment(
+ self,
+ headers: dict,
+ model: str,
+ messages: list[dict],
+ optional_params: dict,
+ litellm_params: dict,
+ api_key: str | None = None,
+ api_base: str | None = None,
+ ) -> tuple[dict, str | None]:
+ merged_headers, resolved_api_base = super().validate_anthropic_messages_environment(
+ headers=headers,
+ model=model,
+ messages=messages,
+ optional_params=optional_params,
+ litellm_params=litellm_params,
+ api_key=api_key,
+ api_base=api_base,
+ )
+ if any(name.lower() == "anthropic-version" for name in merged_headers):
+ return merged_headers, resolved_api_base
+ return {**merged_headers, "anthropic-version": DEFAULT_ANTHROPIC_API_VERSION}, resolved_api_base
+
+ def transform_anthropic_messages_request(
+ self,
+ model: str,
+ messages: list[dict],
+ anthropic_messages_optional_request_params: dict,
+ litellm_params: GenericLiteLLMParams,
+ headers: dict,
+ ) -> dict:
+ request: Final = super().transform_anthropic_messages_request(
+ model=model,
+ messages=messages,
+ anthropic_messages_optional_request_params=anthropic_messages_optional_request_params,
+ litellm_params=litellm_params,
+ headers=headers,
+ )
+ if "anthropic_version" in anthropic_messages_optional_request_params:
+ return request
+ return {key: value for key, value in request.items() if key != "anthropic_version"}
diff --git a/litellm/utils.py b/litellm/utils.py
index b724313641f..3439a21b560 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -8681,6 +8681,13 @@ class ProviderConfigManager:
from litellm.llms.bedrock.common_utils import BedrockModelInfo
return BedrockModelInfo.get_bedrock_provider_config_for_messages_api(model)
+ elif litellm.LlmProviders.BEDROCK_MANTLE == provider:
+ if "claude" in model_lower:
+ from litellm.llms.bedrock_mantle.messages.transformation import (
+ BedrockMantleAnthropicMessagesConfig,
+ )
+
+ return BedrockMantleAnthropicMessagesConfig()
elif litellm.LlmProviders.VERTEX_AI == provider:
if "claude" in model_lower:
from litellm.llms.vertex_ai.vertex_ai_partner_models.anthropic.experimental_pass_through.transformation import (
diff --git a/tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py b/tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py
new file mode 100644
index 00000000000..2961eee925c
--- /dev/null
+++ b/tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py
@@ -0,0 +1,346 @@
+"""
+Unit tests for the bedrock_mantle native Anthropic Messages route.
+
+Mantle serves its Claude models only on `/anthropic/v1/messages` (the OpenAI
+paths reject them), so `bedrock_mantle/anthropic.claude-*` requests on
+/v1/messages must hit that endpoint directly instead of the chat-completions
+bridge. These tests lock the dispatcher gate, the URL derivation from the
+OpenAI-surface base that get_llm_provider pre-fills, the version header, the
+Bearer/SigV4 auth chain, and the wire request through the public entrypoint.
+"""
+
+import json
+from unittest.mock import MagicMock
+
+import httpx
+import pytest
+import respx
+
+import litellm
+from litellm.caching.llm_caching_handler import LLMClientCache
+from litellm.llms.bedrock.base_aws_llm import BaseAWSLLM
+from litellm.llms.bedrock_mantle.messages.transformation import (
+ BedrockMantleAnthropicMessagesConfig,
+ build_mantle_native_messages_url,
+)
+from litellm.types.router import GenericLiteLLMParams
+from litellm.utils import ProviderConfigManager
+
+MESSAGES_PATH = "/anthropic/v1/messages"
+
+
+@pytest.fixture(autouse=True)
+def _httpx_transport_with_fresh_clients(monkeypatch):
+ monkeypatch.setattr(litellm, "disable_aiohttp_transport", True)
+ monkeypatch.setattr(litellm, "in_memory_llm_clients_cache", LLMClientCache())
+
+
+@pytest.fixture(autouse=True)
+def _no_ambient_mantle_env(monkeypatch):
+ monkeypatch.delenv("AWS_BEARER_TOKEN_BEDROCK", raising=False)
+ monkeypatch.delenv("BEDROCK_MANTLE_API_KEY", raising=False)
+ monkeypatch.delenv("BEDROCK_MANTLE_API_BASE", raising=False)
+ monkeypatch.delenv("BEDROCK_MANTLE_REGION", raising=False)
+ monkeypatch.delenv("AWS_REGION_NAME", raising=False)
+ monkeypatch.delenv("AWS_REGION", raising=False)
+
+
+def _anthropic_response() -> httpx.Response:
+ return httpx.Response(
+ status_code=200,
+ json={
+ "id": "msg_test",
+ "type": "message",
+ "role": "assistant",
+ "model": "anthropic.claude-sonnet-5",
+ "content": [{"type": "text", "text": "pong"}],
+ "stop_reason": "end_turn",
+ "stop_sequence": None,
+ "usage": {"input_tokens": 3, "output_tokens": 1},
+ },
+ )
+
+
+_SSE_EVENTS = (
+ (
+ "message_start",
+ {
+ "type": "message_start",
+ "message": {
+ "id": "msg_stream",
+ "type": "message",
+ "role": "assistant",
+ "model": "anthropic.claude-sonnet-5",
+ "content": [],
+ "stop_reason": None,
+ "stop_sequence": None,
+ "usage": {"input_tokens": 3, "output_tokens": 1},
+ },
+ },
+ ),
+ ("content_block_start", {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}}),
+ ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "pong"}}),
+ ("content_block_stop", {"type": "content_block_stop", "index": 0}),
+ ("message_delta", {"type": "message_delta", "delta": {"stop_reason": "end_turn"}, "usage": {"output_tokens": 1}}),
+ ("message_stop", {"type": "message_stop"}),
+)
+
+
+def _sse_response() -> httpx.Response:
+ body = "".join(f"event: {event}\ndata: {json.dumps(payload)}\n\n" for event, payload in _SSE_EVENTS).encode()
+ return httpx.Response(status_code=200, content=body, headers={"content-type": "text/event-stream"})
+
+
+def _mantle_messages_route(region: str) -> respx.Route:
+ return respx.post(f"https://bedrock-mantle.{region}.api.aws{MESSAGES_PATH}")
+
+
+def _sent_body(route: respx.Route) -> dict:
+ return json.loads(route.calls.last.request.content)
+
+
+class TestDispatch:
+ def test_claude_models_get_the_native_messages_config(self):
+ config = ProviderConfigManager.get_provider_anthropic_messages_config(
+ model="anthropic.claude-sonnet-5", provider=litellm.LlmProviders.BEDROCK_MANTLE
+ )
+ assert isinstance(config, BedrockMantleAnthropicMessagesConfig)
+ assert config.custom_llm_provider == "bedrock_mantle"
+
+ @pytest.mark.parametrize("model", ["openai.gpt-5.6-sol", "openai.gpt-oss-120b-1:0", "google.gemma-4-31b"])
+ def test_non_claude_models_keep_the_bridge(self, model):
+ assert (
+ ProviderConfigManager.get_provider_anthropic_messages_config(
+ model=model, provider=litellm.LlmProviders.BEDROCK_MANTLE
+ )
+ is None
+ )
+
+
+class TestURL:
+ @pytest.mark.parametrize(
+ "api_base",
+ [
+ "https://bedrock-mantle.us-east-1.api.aws/v1",
+ "https://bedrock-mantle.us-east-1.api.aws/openai/v1",
+ "https://bedrock-mantle.us-east-1.api.aws/openai/v1/",
+ "https://bedrock-mantle.us-east-1.api.aws",
+ "https://bedrock-mantle.us-east-1.api.aws/anthropic/v1/messages",
+ ],
+ )
+ def test_prefilled_openai_base_becomes_the_messages_endpoint(self, api_base):
+ url = build_mantle_native_messages_url(api_base, {"aws_region_name": "us-east-1"})
+ assert url == f"https://bedrock-mantle.us-east-1.api.aws{MESSAGES_PATH}"
+
+ def test_aws_region_name_wins_over_the_prefilled_host_region(self):
+ url = build_mantle_native_messages_url(
+ "https://bedrock-mantle.us-east-1.api.aws/v1", {"aws_region_name": "us-east-2"}
+ )
+ assert url == f"https://bedrock-mantle.us-east-2.api.aws{MESSAGES_PATH}"
+
+ def test_host_region_is_used_when_no_region_param(self):
+ url = build_mantle_native_messages_url("https://bedrock-mantle.eu-west-1.api.aws/v1", {})
+ assert url == f"https://bedrock-mantle.eu-west-1.api.aws{MESSAGES_PATH}"
+
+ def test_custom_host_is_preserved(self):
+ url = build_mantle_native_messages_url("https://vpce-abc.bedrock-mantle.example.com/v1", {})
+ assert url == f"https://vpce-abc.bedrock-mantle.example.com{MESSAGES_PATH}"
+
+ def test_env_base_is_used_without_api_base(self, monkeypatch):
+ monkeypatch.setenv("BEDROCK_MANTLE_API_BASE", "https://mantle-proxy.internal/openai/v1")
+ assert build_mantle_native_messages_url(None, {}) == f"https://mantle-proxy.internal{MESSAGES_PATH}"
+
+ def test_default_host_comes_from_mantle_region_env(self, monkeypatch):
+ monkeypatch.setenv("BEDROCK_MANTLE_REGION", "ap-northeast-1")
+ assert build_mantle_native_messages_url(None, {}) == f"https://bedrock-mantle.ap-northeast-1.api.aws{MESSAGES_PATH}"
+
+ def test_config_get_complete_url_reads_litellm_params(self):
+ config = BedrockMantleAnthropicMessagesConfig()
+ url = config.get_complete_url(
+ api_base="https://bedrock-mantle.us-east-1.api.aws/v1",
+ api_key=None,
+ model="anthropic.claude-sonnet-5",
+ optional_params={},
+ litellm_params={"aws_region_name": "us-west-2"},
+ )
+ assert url == f"https://bedrock-mantle.us-west-2.api.aws{MESSAGES_PATH}"
+
+
+class TestEnvironment:
+ def _validate(self, headers: dict, litellm_params: dict) -> dict:
+ config = BedrockMantleAnthropicMessagesConfig()
+ merged, _ = config.validate_anthropic_messages_environment(
+ headers=headers,
+ model="anthropic.claude-sonnet-5",
+ messages=[],
+ optional_params={},
+ litellm_params=litellm_params,
+ )
+ return merged
+
+ def test_adds_the_anthropic_version_header(self):
+ assert self._validate({}, {})["anthropic-version"] == "2023-06-01"
+
+ def test_keeps_a_caller_supplied_version_header(self):
+ merged = self._validate({"Anthropic-Version": "2024-01-01"}, {})
+ assert merged["Anthropic-Version"] == "2024-01-01"
+ assert "anthropic-version" not in merged
+
+ def test_project_id_becomes_the_workspace_header(self):
+ assert self._validate({}, {"aws_bedrock_project_id": "proj_123"})["anthropic-workspace"] == "proj_123"
+
+
+class TestRequestBody:
+ def test_body_carries_model_and_stream_but_not_the_invoke_version(self):
+ config = BedrockMantleAnthropicMessagesConfig()
+ body = config.transform_anthropic_messages_request(
+ model="anthropic.claude-sonnet-5",
+ messages=[{"role": "user", "content": "ping"}],
+ anthropic_messages_optional_request_params={"max_tokens": 8, "stream": True},
+ litellm_params=GenericLiteLLMParams(),
+ headers={},
+ )
+ assert body["model"] == "anthropic.claude-sonnet-5"
+ assert body["stream"] is True
+ assert body["max_tokens"] == 8
+ assert "anthropic_version" not in body
+
+ def test_body_omits_stream_when_not_streaming(self):
+ config = BedrockMantleAnthropicMessagesConfig()
+ body = config.transform_anthropic_messages_request(
+ model="anthropic.claude-sonnet-5",
+ messages=[{"role": "user", "content": "ping"}],
+ anthropic_messages_optional_request_params={"max_tokens": 8},
+ litellm_params=GenericLiteLLMParams(),
+ headers={},
+ )
+ assert "stream" not in body
+
+
+class TestAuth:
+ def test_bearer_from_api_key_skips_aws_credentials(self):
+ signer = BaseAWSLLM()
+ signer.get_credentials = MagicMock(side_effect=AssertionError("must not resolve AWS credentials"))
+ config = BedrockMantleAnthropicMessagesConfig(aws_signer=signer)
+ headers, signed = config.sign_request(
+ headers={"anthropic-version": "2023-06-01"},
+ optional_params={},
+ request_data={"model": "anthropic.claude-sonnet-5"},
+ api_base=f"https://bedrock-mantle.us-east-1.api.aws{MESSAGES_PATH}",
+ api_key="arg-bearer",
+ )
+ assert headers["Authorization"] == "Bearer arg-bearer"
+ assert headers["anthropic-version"] == "2023-06-01"
+ assert signed == b'{"model": "anthropic.claude-sonnet-5"}'
+
+ def test_bearer_from_mantle_env_key(self, monkeypatch):
+ monkeypatch.setenv("BEDROCK_MANTLE_API_KEY", "env-bearer")
+ config = BedrockMantleAnthropicMessagesConfig()
+ headers, _ = config.sign_request(
+ headers={},
+ optional_params={},
+ request_data={},
+ api_base=f"https://bedrock-mantle.us-east-1.api.aws{MESSAGES_PATH}",
+ api_key=None,
+ )
+ assert headers["Authorization"] == "Bearer env-bearer"
+
+ def test_sigv4_scope_is_pinned_to_the_url_host_region(self):
+ config = BedrockMantleAnthropicMessagesConfig()
+ headers, signed = config.sign_request(
+ headers={"anthropic-version": "2023-06-01"},
+ optional_params={
+ "aws_access_key_id": "AKIAEXAMPLE",
+ "aws_secret_access_key": "c2VjcmV0LXRlc3Qtc2VjcmV0LXRlc3Qtc2VjcmV0",
+ "aws_region_name": "us-east-1",
+ },
+ request_data={"model": "anthropic.claude-sonnet-5"},
+ api_base=f"https://bedrock-mantle.us-west-2.api.aws{MESSAGES_PATH}",
+ api_key=None,
+ )
+ assert headers["Authorization"].startswith("AWS4-HMAC-SHA256")
+ assert "/us-west-2/bedrock/aws4_request" in headers["Authorization"]
+ assert signed == b'{"model": "anthropic.claude-sonnet-5"}'
+
+
+class TestWireRequest:
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_claude_request_hits_the_native_messages_endpoint(self):
+ route = _mantle_messages_route("us-east-1").mock(return_value=_anthropic_response())
+
+ response = await litellm.anthropic_messages(
+ model="bedrock_mantle/anthropic.claude-sonnet-5",
+ messages=[{"role": "user", "content": "ping"}],
+ max_tokens=8,
+ api_key="test-bearer",
+ aws_region_name="us-east-1",
+ )
+
+ assert response["content"][0]["text"] == "pong"
+ assert route.call_count == 1
+ sent = route.calls.last.request
+ assert sent.headers["authorization"] == "Bearer test-bearer"
+ assert sent.headers["anthropic-version"] == "2023-06-01"
+ assert "x-api-key" not in sent.headers
+ body = _sent_body(route)
+ assert body["model"] == "anthropic.claude-sonnet-5"
+ assert body["messages"] == [{"role": "user", "content": "ping"}]
+ assert "anthropic_version" not in body
+ assert "stream" not in body
+
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_region_prefix_selects_the_host_and_is_not_sent_as_model(self):
+ route = _mantle_messages_route("us-east-2").mock(return_value=_anthropic_response())
+
+ await litellm.anthropic_messages(
+ model="bedrock_mantle/us-east-2/anthropic.claude-haiku-4-5",
+ messages=[{"role": "user", "content": "ping"}],
+ max_tokens=8,
+ api_key="test-bearer",
+ )
+
+ assert route.call_count == 1
+ assert _sent_body(route)["model"] == "anthropic.claude-haiku-4-5"
+
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_streaming_sends_stream_and_passes_the_sse_through(self):
+ route = _mantle_messages_route("us-east-1").mock(return_value=_sse_response())
+
+ response = await litellm.anthropic_messages(
+ model="bedrock_mantle/anthropic.claude-sonnet-5",
+ messages=[{"role": "user", "content": "ping"}],
+ max_tokens=8,
+ stream=True,
+ api_key="test-bearer",
+ aws_region_name="us-east-1",
+ )
+ raw = b"".join([chunk async for chunk in response])
+
+ assert route.call_count == 1
+ assert _sent_body(route)["stream"] is True
+ text = raw.decode()
+ assert "event: message_start" in text
+ assert '"text": "pong"' in text
+ assert "event: message_stop" in text
+
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_sigv4_request_signs_against_the_messages_url(self):
+ route = _mantle_messages_route("us-east-1").mock(return_value=_anthropic_response())
+
+ await litellm.anthropic_messages(
+ model="bedrock_mantle/anthropic.claude-sonnet-5",
+ messages=[{"role": "user", "content": "ping"}],
+ max_tokens=8,
+ aws_access_key_id="AKIAEXAMPLE",
+ aws_secret_access_key="c2VjcmV0LXRlc3Qtc2VjcmV0LXRlc3Qtc2VjcmV0",
+ aws_region_name="us-east-1",
+ )
+
+ assert route.call_count == 1
+ authorization = route.calls.last.request.headers["authorization"]
+ assert authorization.startswith("AWS4-HMAC-SHA256")
+ assert "/us-east-1/bedrock/aws4_request" in authorization
diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index 3336ad6d33a..a4c06122189 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -3640,6 +3640,28 @@ class TestGetOptionalParamsTencent:
assert isinstance(config, TencentAnthropicMessagesConfig)
assert config.custom_llm_provider == "tencent"
+ def test_bedrock_mantle_claude_messages_config_routing(self):
+ import litellm
+ from litellm.llms.bedrock_mantle.messages.transformation import (
+ BedrockMantleAnthropicMessagesConfig,
+ )
+
+ config = ProviderConfigManager.get_provider_anthropic_messages_config(
+ model="anthropic.claude-sonnet-5",
+ provider=litellm.LlmProviders.BEDROCK_MANTLE,
+ )
+ assert isinstance(config, BedrockMantleAnthropicMessagesConfig)
+ assert config.custom_llm_provider == "bedrock_mantle"
+
+ def test_bedrock_mantle_openai_models_keep_the_messages_bridge(self):
+ import litellm
+
+ config = ProviderConfigManager.get_provider_anthropic_messages_config(
+ model="openai.gpt-5.6-sol",
+ provider=litellm.LlmProviders.BEDROCK_MANTLE,
+ )
+ assert config is None
+
class TestValidateEnvironmentTencent:
"""Tests that validate_environment resolves TENCENT_API_KEY for the tencent provider."""
From a4488fcccaa52a488da3f315185b1aeb16d3729f Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 23:45:51 +0000
Subject: [PATCH 090/246] test(integration): add provider wire cost cases
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/_support/upstream.py | 21 +-
tests/integration/contracts.json | 77 +-
.../integration/cost_calculation/conftest.py | 12 +
.../cost_calculation/cost_tracking_case.py | 19 +-
.../cost_calculation/cost_tracking_cases.json | 1254 ++++++++++++++++-
5 files changed, 1303 insertions(+), 80 deletions(-)
diff --git a/tests/integration/_support/upstream.py b/tests/integration/_support/upstream.py
index 90325b770ab..0bea824e77b 100644
--- a/tests/integration/_support/upstream.py
+++ b/tests/integration/_support/upstream.py
@@ -1,6 +1,7 @@
from __future__ import annotations
import argparse
+import base64
from collections import deque
from collections.abc import Mapping
import json
@@ -23,6 +24,7 @@ from starlette.routing import Route
from _fake_openai_endpoint_server import chat_completions, completions, embeddings, health, moderations
from integration.cost_calculation.cost_tracking_case import (
BinaryResponse,
+ EventStreamEvent,
EventStreamResponse,
JsonResponse,
SseResponse,
@@ -226,8 +228,25 @@ class Provider:
)
return Response(content=stream_body.encode(), media_type=response.content_type)
case EventStreamResponse():
+ events: Final = (
+ tuple(
+ EventStreamEvent(
+ event_type="chunk",
+ payload={
+ "bytes": base64.b64encode(
+ json.dumps(event.payload, separators=(",", ":"))
+ .replace("$REQUEST_ID", scenario_id)
+ .encode()
+ ).decode(),
+ },
+ )
+ for event in response.events
+ )
+ if response.framing == "invoke"
+ else response.events
+ )
event_body: Final = b"".join(
- _aws_event_frame(event.event_type, event.payload, scenario_id) for event in response.events
+ _aws_event_frame(event.event_type, event.payload, scenario_id) for event in events
)
return Response(content=event_body, media_type=response.content_type)
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index 15ddaf14fd4..edcc7124f38 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -1322,52 +1322,52 @@
"quota_management.spend_tracking.scripted_wire.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[whisper-next-transcriptions-per-second]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[whisper-verbose-next-transcriptions-duration]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-4o-transcribe-next-transcriptions-tokens]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[nova-next-transcriptions-per-second]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-whisper-next-transcriptions-deployment]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[tts-next-speech-per-character]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[tts-next-hd-speech-per-character]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-tts-next-speech-deployment]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dall-e-3-next-images-standard]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dall-e-3-next-images-hd]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dall-e-3-next-images-wide]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[dall-e-3-next-images-two]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-image-next-images-low]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[imagen-next-images-one]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[amazon-nova-canvas-next-images-one]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-image-next-images-edit]": [
- "quota_management.spend_tracking.cost_matrix.logs_cost"
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_cache_read]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
@@ -1494,6 +1494,51 @@
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[xai-grok-5-provider_reported_cost]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-invoke-haiku-json]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-invoke-haiku-stream]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-converse-profile-base-model]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-converse-eu-regional-key]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-converse-apac-bare-fallback]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-converse-nova-2-pro]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[bedrock-converse-mistral-large-3-stream]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-ai-gpt-5.4-mini-latest]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-ai-gpt-5.4-mini-latest-stream]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[azure-pinned-gpt-5.4-mini-stream]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[groq-qwen-3.8-json]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[groq-qwen-3.8-stream_x_groq_recount]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[cohere-command-a-v2-tokens]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[mistral-medium-2604-json]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[openai-deployment-pricing-override]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
]
},
"browser": {
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index 4d4c7b6356a..b9dae412fa1 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -163,6 +163,18 @@ def register_scenario_deployment(
"api_key": case.api_key,
"api_base": handle.api_base(),
**case.litellm_params,
+ **(
+ {
+ key: value
+ for key, value in (
+ ("input_cost_per_token", case.deployment.input_cost_per_token),
+ ("output_cost_per_token", case.deployment.output_cost_per_token),
+ )
+ if value is not None
+ }
+ if case.deployment is not None
+ else {}
+ ),
**(
{"vertex_credentials": _vertex_service_account_json(control_url)}
if case.rates.litellm_provider.startswith("vertex_ai")
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index 269e1edb9eb..456148bc3fe 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -83,6 +83,8 @@ class Deployment(BaseModel):
model: str | None = None
base_model: str | None = None
+ input_cost_per_token: float | None = None
+ output_cost_per_token: float | None = None
class WavUpload(BaseModel):
@@ -128,6 +130,7 @@ class EventStreamResponse(BaseModel):
content_type: Literal["application/vnd.amazon.eventstream"]
events: tuple[EventStreamEvent, ...]
+ framing: Literal["converse", "invoke"] = "converse"
class BinaryResponse(BaseModel):
@@ -235,9 +238,11 @@ class CostTrackingTestCase(BaseModel):
)
if prefix is None:
raise ValueError(f"unsupported cost-map provider {provider} for {self.model}")
- return self.deployment.model if self.deployment and self.deployment.model is not None else (
- self.model if prefix == "" else f"{prefix}/{self.model}"
- )
+ if self.deployment and self.deployment.model is not None:
+ return self.deployment.model
+ if prefix == "" or self.model.startswith(f"{prefix}/"):
+ return self.model
+ return f"{prefix}/{self.model}"
@property
def litellm_params(self) -> Mapping[str, str]:
@@ -294,6 +299,10 @@ _PROVIDER_PREFIXES: Final[Mapping[str, str]] = MappingProxyType(
"perplexity": "",
"deepseek": "",
"xai": "",
+ "azure_ai": "azure_ai",
+ "groq": "groq",
+ "mistral": "mistral",
+ "cohere_chat": "cohere_chat",
}
)
_LITELLM_PARAMS: Final[Mapping[str, Mapping[str, str]]] = MappingProxyType(
@@ -330,6 +339,10 @@ _LITELLM_PARAMS: Final[Mapping[str, Mapping[str, str]]] = MappingProxyType(
"perplexity": MappingProxyType({}),
"deepseek": MappingProxyType({}),
"xai": MappingProxyType({}),
+ "azure_ai": MappingProxyType({}),
+ "groq": MappingProxyType({}),
+ "mistral": MappingProxyType({}),
+ "cohere_chat": MappingProxyType({}),
}
)
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index 3a52dfee93a..9b0c4e6d1b4 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -7,17 +7,26 @@
"max_output_tokens": 65536,
"tiered_pricing": [
{
- "range": [0, 32000],
+ "range": [
+ 0,
+ 32000
+ ],
"input_cost_per_token": 1.3e-06,
"output_cost_per_token": 6.5e-06
},
{
- "range": [32000, 128000],
+ "range": [
+ 32000,
+ 128000
+ ],
"input_cost_per_token": 2.6e-06,
"output_cost_per_token": 1.3e-05
},
{
- "range": [128000, 252000],
+ "range": [
+ 128000,
+ 252000
+ ],
"input_cost_per_token": 3.1e-06,
"output_cost_per_token": 1.55e-05
}
@@ -560,6 +569,54 @@
"litellm_provider": "bedrock",
"mode": "image_generation",
"output_cost_per_image": 0.045
+ },
+ "bedrock/invoke/anthropic.claude-haiku-4-5-20251001-v1:0": {
+ "litellm_provider": "bedrock",
+ "mode": "chat",
+ "input_cost_per_token": 1.01e-06,
+ "output_cost_per_token": 5.01e-06
+ },
+ "eu.anthropic.claude-sonnet-5-v1:0": {
+ "litellm_provider": "bedrock_converse",
+ "mode": "chat",
+ "input_cost_per_token": 3.4e-06,
+ "output_cost_per_token": 1.7e-05
+ },
+ "amazon.nova-2-pro-preview-20251202-v1:0": {
+ "litellm_provider": "bedrock_converse",
+ "mode": "chat",
+ "input_cost_per_token": 2.1875e-06,
+ "output_cost_per_token": 1.75e-05
+ },
+ "mistral.mistral-large-3-675b-instruct": {
+ "litellm_provider": "bedrock_converse",
+ "mode": "chat",
+ "input_cost_per_token": 5.1e-07,
+ "output_cost_per_token": 1.51e-06
+ },
+ "azure_ai/gpt-5.4-mini-2026-03-17": {
+ "litellm_provider": "azure_ai",
+ "mode": "chat",
+ "input_cost_per_token": 7.5e-07,
+ "output_cost_per_token": 4.5e-06
+ },
+ "groq/qwen/qwen3.8-27b": {
+ "litellm_provider": "groq",
+ "mode": "chat",
+ "input_cost_per_token": 8e-07,
+ "output_cost_per_token": 4e-06
+ },
+ "cohere_chat/v2/command-a-03-2025": {
+ "litellm_provider": "cohere_chat",
+ "mode": "chat",
+ "input_cost_per_token": 2.51e-06,
+ "output_cost_per_token": 1.001e-05
+ },
+ "mistral/mistral-medium-2604": {
+ "litellm_provider": "mistral",
+ "mode": "chat",
+ "input_cost_per_token": 1.51e-06,
+ "output_cost_per_token": 7.51e-06
}
},
"cases": [
@@ -27902,15 +27959,19 @@
"cost_header": false
},
"endpoint": "/bedrock/model/$MODEL/converse-stream"
- }
- ,
+ },
{
"name": "dashscope-qwen4-max-tiered_input",
"covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
"model": "dashscope/qwen4-max",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "tiered input"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "tiered input"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
@@ -27920,11 +27981,30 @@
"id": "$REQUEST_ID",
"object": "chat.completion",
"model": "qwen4-max",
- "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
- "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252}
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "ok"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252
+ }
}
},
- "expected": {"spend": 0.00507, "input_cost": 0.002392, "output_cost": 0.002678, "prompt_tokens": 1840, "completion_tokens": 412}
+ "expected": {
+ "spend": 0.00507,
+ "input_cost": 0.002392,
+ "output_cost": 0.002678,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
},
{
"name": "dashscope-qwen4-max-tiered_boundary_stays_lower_tier",
@@ -27932,7 +28012,12 @@
"model": "dashscope/qwen4-max",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "tier boundary"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "tier boundary"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
@@ -27942,11 +28027,30 @@
"id": "$REQUEST_ID",
"object": "chat.completion",
"model": "qwen4-max",
- "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
- "usage": {"prompt_tokens": 32000, "completion_tokens": 412, "total_tokens": 32412}
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "ok"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 32000,
+ "completion_tokens": 412,
+ "total_tokens": 32412
+ }
}
},
- "expected": {"spend": 0.044278, "input_cost": 0.0416, "output_cost": 0.002678, "prompt_tokens": 32000, "completion_tokens": 412}
+ "expected": {
+ "spend": 0.044278,
+ "input_cost": 0.0416,
+ "output_cost": 0.002678,
+ "prompt_tokens": 32000,
+ "completion_tokens": 412
+ }
},
{
"name": "dashscope-qwen4-max-tiered_second_tier",
@@ -27954,7 +28058,12 @@
"model": "dashscope/qwen4-max",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "tier two"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "tier two"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
@@ -27964,11 +28073,30 @@
"id": "$REQUEST_ID",
"object": "chat.completion",
"model": "qwen4-max",
- "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
- "usage": {"prompt_tokens": 40000, "completion_tokens": 412, "total_tokens": 40412}
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "ok"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 40000,
+ "completion_tokens": 412,
+ "total_tokens": 40412
+ }
}
},
- "expected": {"spend": 0.109356, "input_cost": 0.104, "output_cost": 0.005356, "prompt_tokens": 40000, "completion_tokens": 412}
+ "expected": {
+ "spend": 0.109356,
+ "input_cost": 0.104,
+ "output_cost": 0.005356,
+ "prompt_tokens": 40000,
+ "completion_tokens": 412
+ }
},
{
"name": "dashscope-qwen4-max-tiered_above_top_range",
@@ -27976,7 +28104,12 @@
"model": "dashscope/qwen4-max",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "top tier"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "top tier"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
@@ -27986,11 +28119,30 @@
"id": "$REQUEST_ID",
"object": "chat.completion",
"model": "qwen4-max",
- "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
- "usage": {"prompt_tokens": 300000, "completion_tokens": 412, "total_tokens": 300412}
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "ok"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 300000,
+ "completion_tokens": 412,
+ "total_tokens": 300412
+ }
}
},
- "expected": {"spend": 0.936386, "input_cost": 0.93, "output_cost": 0.006386, "prompt_tokens": 300000, "completion_tokens": 412}
+ "expected": {
+ "spend": 0.936386,
+ "input_cost": 0.93,
+ "output_cost": 0.006386,
+ "prompt_tokens": 300000,
+ "completion_tokens": 412
+ }
},
{
"name": "gemini-gemini-3.8-flash-lite-input_below_128k",
@@ -27998,19 +28150,47 @@
"model": "gemini/gemini-3.8-flash-lite",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "base pricing"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "base pricing"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
"response": {
"content_type": "application/json",
"body": {
- "candidates": [{"content": {"parts": [{"text": "ok"}], "role": "model"}, "finishReason": "STOP", "index": 0}],
- "usageMetadata": {"promptTokenCount": 1840, "candidatesTokenCount": 412, "totalTokenCount": 2252},
+ "candidates": [
+ {
+ "content": {
+ "parts": [
+ {
+ "text": "ok"
+ }
+ ],
+ "role": "model"
+ },
+ "finishReason": "STOP",
+ "index": 0
+ }
+ ],
+ "usageMetadata": {
+ "promptTokenCount": 1840,
+ "candidatesTokenCount": 412,
+ "totalTokenCount": 2252
+ },
"modelVersion": "gemini-3.8-flash-lite"
}
},
- "expected": {"spend": 0.00038368, "input_cost": 0.0002024, "output_cost": 0.00018128, "prompt_tokens": 1840, "completion_tokens": 412}
+ "expected": {
+ "spend": 0.00038368,
+ "input_cost": 0.0002024,
+ "output_cost": 0.00018128,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
},
{
"name": "gemini-gemini-3.8-flash-lite-input_above_128k",
@@ -28018,19 +28198,47 @@
"model": "gemini/gemini-3.8-flash-lite",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "above threshold"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "above threshold"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
"response": {
"content_type": "application/json",
"body": {
- "candidates": [{"content": {"parts": [{"text": "ok"}], "role": "model"}, "finishReason": "STOP", "index": 0}],
- "usageMetadata": {"promptTokenCount": 130000, "candidatesTokenCount": 412, "totalTokenCount": 130412},
+ "candidates": [
+ {
+ "content": {
+ "parts": [
+ {
+ "text": "ok"
+ }
+ ],
+ "role": "model"
+ },
+ "finishReason": "STOP",
+ "index": 0
+ }
+ ],
+ "usageMetadata": {
+ "promptTokenCount": 130000,
+ "candidatesTokenCount": 412,
+ "totalTokenCount": 130412
+ },
"modelVersion": "gemini-3.8-flash-lite"
}
},
- "expected": {"spend": 0.02896256, "input_cost": 0.0286, "output_cost": 0.00036256, "prompt_tokens": 130000, "completion_tokens": 412}
+ "expected": {
+ "spend": 0.02896256,
+ "input_cost": 0.0286,
+ "output_cost": 0.00036256,
+ "prompt_tokens": 130000,
+ "completion_tokens": 412
+ }
},
{
"name": "claude-sonnet-5-cache_creation_1h_above_200k",
@@ -28038,7 +28246,12 @@
"model": "claude-sonnet-5",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "one hour cache"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "one hour cache"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
@@ -28049,12 +28262,20 @@
"type": "message",
"role": "assistant",
"model": "claude-sonnet-5",
- "content": [{"type": "text", "text": "ok"}],
+ "content": [
+ {
+ "type": "text",
+ "text": "ok"
+ }
+ ],
"stop_reason": "end_turn",
"usage": {
"input_tokens": 150000,
"cache_creation_input_tokens": 60000,
- "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 60000},
+ "cache_creation": {
+ "ephemeral_5m_input_tokens": 0,
+ "ephemeral_1h_input_tokens": 60000
+ },
"cache_read_input_tokens": 0,
"output_tokens": 412
}
@@ -28075,7 +28296,12 @@
"model": "openrouter/anthropic/claude-sonnet-5",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "reported cost"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "reported cost"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
@@ -28085,8 +28311,22 @@
"id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "anthropic/claude-sonnet-5",
- "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
- "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252, "cost": 0.0421}
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "ok"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252,
+ "cost": 0.0421
+ }
}
},
"expected": {
@@ -28104,7 +28344,12 @@
"model": "openrouter/anthropic/claude-sonnet-5",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "token pricing"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "token pricing"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
@@ -28114,11 +28359,30 @@
"id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "anthropic/claude-sonnet-5",
- "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
- "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252}
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "ok"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252
+ }
}
},
- "expected": {"spend": 0.01248, "input_cost": 0.005888, "output_cost": 0.006592, "prompt_tokens": 1840, "completion_tokens": 412}
+ "expected": {
+ "spend": 0.01248,
+ "input_cost": 0.005888,
+ "output_cost": 0.006592,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
},
{
"name": "perplexity-sonar-next-no_search",
@@ -28126,7 +28390,12 @@
"model": "perplexity/sonar-next",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "no search"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "no search"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
@@ -28136,11 +28405,30 @@
"id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "sonar-next",
- "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
- "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252}
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "ok"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252
+ }
}
},
- "expected": {"spend": 0.0023646, "input_cost": 0.001932, "output_cost": 0.0004326, "prompt_tokens": 1840, "completion_tokens": 412}
+ "expected": {
+ "spend": 0.0023646,
+ "input_cost": 0.001932,
+ "output_cost": 0.0004326,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
},
{
"name": "deepseek-deepseek-v4-chat-prompt_cache_hit",
@@ -28148,7 +28436,12 @@
"model": "deepseek/deepseek-v4-chat",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "cache hit"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "cache hit"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
@@ -28158,14 +28451,25 @@
"id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "deepseek-v4-chat",
- "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "ok"
+ },
+ "finish_reason": "stop"
+ }
+ ],
"usage": {
"prompt_tokens": 1840,
"completion_tokens": 412,
"total_tokens": 2252,
"prompt_cache_hit_tokens": 1200,
"prompt_cache_miss_tokens": 640,
- "prompt_tokens_details": {"cached_tokens": 1200}
+ "prompt_tokens_details": {
+ "cached_tokens": 1200
+ }
}
}
},
@@ -28173,7 +28477,7 @@
"spend": 0.00039756,
"input_cost": 0.0002204,
"output_cost": 0.00017716,
- "cache_read_cost": 0.0000348,
+ "cache_read_cost": 3.48e-05,
"prompt_tokens": 1840,
"completion_tokens": 412
}
@@ -28184,7 +28488,12 @@
"model": "deepseek/deepseek-v4-chat",
"request": {
"model": "$MODEL",
- "messages": [{"role": "user", "content": "no cache"}],
+ "messages": [
+ {
+ "role": "user",
+ "content": "no cache"
+ }
+ ],
"stream": false,
"allowed_openai_params": []
},
@@ -28194,8 +28503,21 @@
"id": "chatcmpl-$REQUEST_ID",
"object": "chat.completion",
"model": "deepseek-v4-chat",
- "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
- "usage": {"prompt_tokens": 1840, "completion_tokens": 412, "total_tokens": 2252}
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "ok"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252
+ }
}
},
"expected": {
@@ -28213,7 +28535,12 @@
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@@ -28293,7 +28667,767 @@
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+ {
+ "name": "openai-deployment-pricing-override",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "deployment": {
+ "model": "openai/cc-custom-model",
+ "input_cost_per_token": 7e-06,
+ "output_cost_per_token": 2.1e-05
+ },
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "openai-deployment-pricing-override"
+ }
+ ],
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "chatcmpl-$REQUEST_ID",
+ "object": "chat.completion",
+ "model": "$MODEL",
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "scripted response"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252
+ },
+ "service_tier": "default"
+ }
+ },
+ "expected": {
+ "spend": 0.021532,
+ "input_cost": 0.01288,
+ "output_cost": 0.008652,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "cost_header": true
+ }
}
]
}
From 2bb603ab4cf825ea15a6059302e0c8e234993b44 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 16:46:27 -0700
Subject: [PATCH 091/246] test(azure_ai): drop docstrings from the Foundry
bridge tests
---
tests/test_litellm/test_main.py | 17 -----------------
1 file changed, 17 deletions(-)
diff --git a/tests/test_litellm/test_main.py b/tests/test_litellm/test_main.py
index e0ca0c1cbf9..ab09d242e98 100644
--- a/tests/test_litellm/test_main.py
+++ b/tests/test_litellm/test_main.py
@@ -1321,13 +1321,6 @@ _FOUNDRY_FUNCTION_TOOL: Final = ({"type": "function", "function": {"name": "get_
],
)
def test_responses_api_bridge_check_azure_ai_foundry_gpt_5_4_plus_tools_routes_to_responses(api_base, reasoning_effort):
- """
- An azure_ai deployment of a gpt-5.4+ model on a Foundry OpenAI v1 host is the same Azure OpenAI
- backend the azure provider bridges: its chat surface rejects function tools whenever reasoning is
- on, and for gpt-6-astra it rejects reasoning_effort "none" too, so the Responses route on the same
- endpoint is the only way to serve the request. Regression guard: the gate used to bridge only the
- openai and azure providers, so these requests died at Foundry's /models/chat/completions.
- """
from litellm.main import responses_api_bridge_check
model_info, model = responses_api_bridge_check(
@@ -1354,11 +1347,6 @@ def test_responses_api_bridge_check_azure_ai_foundry_gpt_5_4_plus_tools_routes_t
def test_responses_api_bridge_check_azure_ai_without_foundry_responses_route_stays_chat(
model_name, api_base, reasoning_effort
):
- """
- The azure_ai bridge fires only where the Foundry Responses config is selectable: a serverless
- host, a non-OpenAI model, and claude-on-Foundry have no Responses route to bridge to, and an
- explicit reasoning_effort "none" keeps the request chat-servable on the same terms as azure.
- """
from litellm.main import responses_api_bridge_check
model_info, model = responses_api_bridge_check(
@@ -1595,11 +1583,6 @@ _FOUNDRY_RESPONSES_FUNCTION_CALL_BODY: Final = {
def test_completion_bridges_azure_ai_foundry_gpt_5_4_plus_function_tools_to_responses(
respx_mock: respx.MockRouter, monkeypatch: pytest.MonkeyPatch
):
- """
- The bridged azure_ai call is posted to /openai/v1/responses with the tool in Responses
- shape and Foundry's api-key header, never to /models/chat/completions, and comes back as a
- chat completion carrying the function call.
- """
monkeypatch.setattr(litellm, "disable_aiohttp_transport", True)
responses_route: Final = respx_mock.post(f"{_FOUNDRY_API_BASE}/openai/v1/responses").respond(
json=_FOUNDRY_RESPONSES_FUNCTION_CALL_BODY
From 98ea6dd405d466bc6301a4079029b8769835aa45 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sat, 19 Sep 2026 23:46:45 +0000
Subject: [PATCH 092/246] test(integration): drop redundant cost_header
defaults
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../cost_calculation/cost_tracking_cases.json | 33 +++++++------------
1 file changed, 11 insertions(+), 22 deletions(-)
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index 9b0c4e6d1b4..d532a6851fd 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -28717,8 +28717,7 @@
"input_cost": 0.0018584,
"output_cost": 0.00206412,
"prompt_tokens": 1840,
- "completion_tokens": 412,
- "cost_header": true
+ "completion_tokens": 412
}
},
{
@@ -28796,8 +28795,7 @@
"input_cost": 0.0018584,
"output_cost": 0.00206412,
"prompt_tokens": 1840,
- "completion_tokens": 412,
- "cost_header": true
+ "completion_tokens": 412
}
},
{
@@ -28991,8 +28989,7 @@
"input_cost": 0.004025,
"output_cost": 0.00721,
"prompt_tokens": 1840,
- "completion_tokens": 412,
- "cost_header": true
+ "completion_tokens": 412
}
},
{
@@ -29077,8 +29074,7 @@
"input_cost": 0.0009384,
"output_cost": 0.00062212,
"prompt_tokens": 1840,
- "completion_tokens": 412,
- "cost_header": true
+ "completion_tokens": 412
}
},
{
@@ -29124,8 +29120,7 @@
"input_cost": 0.00138,
"output_cost": 0.001854,
"prompt_tokens": 1840,
- "completion_tokens": 412,
- "cost_header": true
+ "completion_tokens": 412
}
},
{
@@ -29155,8 +29150,7 @@
"input_cost": 0.00138,
"output_cost": 0.001854,
"prompt_tokens": 1840,
- "completion_tokens": 412,
- "cost_header": true
+ "completion_tokens": 412
}
},
{
@@ -29190,8 +29184,7 @@
"input_cost": 0.0006624,
"output_cost": 0.00118656,
"prompt_tokens": 1840,
- "completion_tokens": 412,
- "cost_header": true
+ "completion_tokens": 412
}
},
{
@@ -29244,8 +29237,7 @@
"input_cost": 0.001472,
"output_cost": 0.001648,
"prompt_tokens": 1840,
- "completion_tokens": 412,
- "cost_header": true
+ "completion_tokens": 412
}
},
{
@@ -29326,8 +29318,7 @@
"input_cost": 0.0046184,
"output_cost": 0.00412412,
"prompt_tokens": 1840,
- "completion_tokens": 412,
- "cost_header": true
+ "completion_tokens": 412
}
},
{
@@ -29373,8 +29364,7 @@
"input_cost": 0.0027784,
"output_cost": 0.00309412,
"prompt_tokens": 1840,
- "completion_tokens": 412,
- "cost_header": true
+ "completion_tokens": 412
}
},
{
@@ -29425,8 +29415,7 @@
"input_cost": 0.01288,
"output_cost": 0.008652,
"prompt_tokens": 1840,
- "completion_tokens": 412,
- "cost_header": true
+ "completion_tokens": 412
}
}
]
From a841750d460fdd148aa761c62c494d989c744ea9 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sun, 20 Sep 2026 00:19:56 +0000
Subject: [PATCH 093/246] test(integration): proxy behaviour cost cases
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/_support/upstream.py | 12 +-
tests/integration/contracts.json | 42 ++
.../integration/cost_calculation/conftest.py | 113 +++-
.../cost_calculation/cost_tracking_case.py | 34 +-
.../cost_calculation/cost_tracking_cases.json | 624 +++++++++++++++++-
.../cost_calculation/test_cost_tracking.py | 191 +++++-
6 files changed, 965 insertions(+), 51 deletions(-)
diff --git a/tests/integration/_support/upstream.py b/tests/integration/_support/upstream.py
index 0bea824e77b..acaf036d507 100644
--- a/tests/integration/_support/upstream.py
+++ b/tests/integration/_support/upstream.py
@@ -1,9 +1,10 @@
from __future__ import annotations
import argparse
+import asyncio
import base64
from collections import deque
-from collections.abc import Mapping
+from collections.abc import AsyncIterator, Mapping
import json
from dataclasses import dataclass, field
import os
@@ -18,7 +19,7 @@ import uvicorn
from pydantic import BaseModel, JsonValue, TypeAdapter, ValidationError
from starlette.applications import Starlette
from starlette.requests import Request
-from starlette.responses import JSONResponse, Response
+from starlette.responses import JSONResponse, Response, StreamingResponse
from starlette.routing import Route
from _fake_openai_endpoint_server import chat_completions, completions, embeddings, health, moderations
@@ -223,6 +224,13 @@ class Provider:
media_type=response.content_type,
)
case SseResponse():
+ if response.frame_delay_ms > 0:
+ async def stream() -> AsyncIterator[bytes]:
+ for frame in response.frames:
+ yield f"{frame.replace('$REQUEST_ID', scenario_id)}\n\n".encode()
+ await asyncio.sleep(response.frame_delay_ms / 1000)
+
+ return StreamingResponse(stream(), media_type=response.content_type)
stream_body: Final = ("\n\n".join(response.frames) + "\n\n").replace(
"$REQUEST_ID", scenario_id
)
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index edcc7124f38..fe7c808790d 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -1539,6 +1539,48 @@
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[openai-deployment-pricing-override]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-upstream_400_zero_spend]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-upstream_401_zero_spend]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-upstream_500_stream_request_zero_spend]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-responses_upstream_500_zero_spend]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-messages_upstream_500_zero_spend]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-fallback_billed_to_answering_deployment]": [
+ "quota_management.spend_tracking.routing.fallback_billing"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-n_2_choices]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-finish_reason_length]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-stream_usage_in_empty_choices_chunk]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-stream_usage_in_last_delta_chunk]": [
+ "quota_management.spend_tracking.scripted_wire.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-unknown_model_response_model_unknown]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-unknown_model_response_model_known]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-chat_request_to_embedding_entry]": [
+ "quota_management.spend_tracking.cost_matrix.logs_cost"
+ ],
+ "tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gpt-5.6-client_disconnect_mid_stream]": [
+ "quota_management.spend_tracking.scripted_wire.client_disconnect"
]
},
"browser": {
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index b9dae412fa1..a70cd3619ae 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -4,6 +4,7 @@ import functools
import json
import os
from collections.abc import Mapping
+from dataclasses import dataclass
from hashlib import sha256
from typing import Final
@@ -13,8 +14,8 @@ from pydantic import BaseModel, ConfigDict
from integration._support.client import JSON_OBJECT, Scenario, eventually, object_value, string_value
from integration._support.database import read_rows
-from integration._support.upstream import delete_scenario, register_scenario
-from integration.cost_calculation.cost_tracking_case import CostTrackingTestCase
+from integration._support.upstream import ScenarioHandle, delete_scenario, register_scenario
+from integration.cost_calculation.cost_tracking_case import CostTrackingTestCase, StoredResponse
class CostBreakdown(BaseModel):
@@ -43,6 +44,7 @@ class CostRow(BaseModel):
status: str | None = None
prompt_tokens: int | None = None
completion_tokens: int | None = None
+ model_id: str | None = None
metadata: CostMetadata | None = None
@property
@@ -59,6 +61,26 @@ class FailureRow(BaseModel):
completion_tokens: int | None = None
+class DailySpend(BaseModel):
+ model_config = ConfigDict(extra="ignore")
+
+ spend: float | None = None
+ prompt_tokens: int | None = None
+ completion_tokens: int | None = None
+ api_requests: int | None = None
+
+
+class Rollups(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ key_spend: float
+ team_spend: float
+ user_spend: float
+ end_user_spend: float
+ daily_user: DailySpend
+ daily_team: DailySpend
+
+
def approx_equal(actual: float, expected: float) -> bool:
return abs(actual - expected) <= max(1e-9, abs(expected) * 1e-2)
@@ -90,7 +112,7 @@ def poll_cost_row(key: str) -> CostRow:
def read() -> CostRow | None:
rows: Final = read_rows(
- 'SELECT spend, status, metadata, prompt_tokens, completion_tokens '
+ 'SELECT spend, status, metadata, prompt_tokens, completion_tokens, model_id '
'FROM "LiteLLM_SpendLogs" WHERE api_key=%s',
(digest,),
)
@@ -101,6 +123,67 @@ def poll_cost_row(key: str) -> CostRow:
return result
+def poll_rows(key: str) -> tuple[CostRow, ...]:
+ digest: Final = sha256(key.encode()).hexdigest()
+
+ def read() -> tuple[CostRow, ...]:
+ rows: Final = read_rows(
+ 'SELECT spend, status, metadata, prompt_tokens, completion_tokens, model_id '
+ 'FROM "LiteLLM_SpendLogs" WHERE api_key=%s ORDER BY "startTime"',
+ (digest,),
+ )
+ return tuple(parsed for row in rows if (parsed := _row(row)) is not None)
+
+ result: Final = eventually(read, lambda rows: len(rows) > 0, seconds=20)
+ return result
+
+
+def poll_rollups(key: str, team_id: str, user_id: str, end_user_id: str) -> Rollups:
+ digest: Final = sha256(key.encode()).hexdigest()
+
+ def read() -> Rollups | None:
+ key_rows: Final = read_rows(
+ 'SELECT spend FROM "LiteLLM_VerificationToken" WHERE token=%s',
+ (digest,),
+ )
+ team_rows: Final = read_rows(
+ 'SELECT spend FROM "LiteLLM_TeamTable" WHERE team_id=%s',
+ (team_id,),
+ )
+ user_rows: Final = read_rows(
+ 'SELECT spend FROM "LiteLLM_UserTable" WHERE user_id=%s',
+ (user_id,),
+ )
+ end_user_rows: Final = read_rows(
+ 'SELECT spend FROM "LiteLLM_EndUserTable" WHERE user_id=%s',
+ (end_user_id,),
+ )
+ daily_user_rows: Final = read_rows(
+ 'SELECT spend, prompt_tokens, completion_tokens, api_requests '
+ 'FROM "LiteLLM_DailyUserSpend" WHERE user_id=%s AND api_key=%s AND date=CURRENT_DATE::text',
+ (user_id, digest),
+ )
+ daily_team_rows: Final = read_rows(
+ 'SELECT spend, prompt_tokens, completion_tokens, api_requests '
+ 'FROM "LiteLLM_DailyTeamSpend" WHERE team_id=%s AND api_key=%s AND date=CURRENT_DATE::text',
+ (team_id, digest),
+ )
+ if not all((key_rows, team_rows, user_rows, end_user_rows, daily_user_rows, daily_team_rows)):
+ return None
+ return Rollups(
+ key_spend=float(key_rows[0]["spend"]),
+ team_spend=float(team_rows[0]["spend"]),
+ user_spend=float(user_rows[0]["spend"]),
+ end_user_spend=float(end_user_rows[0]["spend"]),
+ daily_user=DailySpend.model_validate(daily_user_rows[0]),
+ daily_team=DailySpend.model_validate(daily_team_rows[0]),
+ )
+
+ result: Final = eventually(read, lambda value: value is not None, seconds=20)
+ assert result is not None
+ return result
+
+
def poll_failure_row(key: str) -> FailureRow:
digest: Final = sha256(key.encode()).hexdigest()
@@ -147,17 +230,31 @@ def _vertex_service_account_json(url: str) -> str:
)
+@dataclass(frozen=True, slots=True)
+class RegisteredDeployment:
+ model_name: str
+ identity: str
+ handle: ScenarioHandle
+
+
def register_scenario_deployment(
scenario: Scenario,
case: CostTrackingTestCase,
marker: str,
key: str,
-) -> str:
+ *,
+ response: StoredResponse | None = None,
+ marker_suffix: str = "",
+ model_name: str | None = None,
+) -> RegisteredDeployment:
control_url: Final = os.environ["INTEGRATION_UPSTREAM_URL"].rstrip("/")
run_marker: Final = sha256(key.encode()).hexdigest()[:12]
- handle: Final = register_scenario(f"sc-{marker}-{run_marker}", case.response)
+ handle: Final = register_scenario(
+ f"sc-{marker}{marker_suffix}-{run_marker}",
+ case.response if response is None else response,
+ )
scenario.cleanups.callback(delete_scenario, handle)
- model_name: Final = f"cost-{marker}-{run_marker}"
+ registered_model_name: Final = model_name or f"cost-{marker}{marker_suffix}-{run_marker}"
parameters: Final = {
"model": case.litellm_model,
"api_key": case.api_key,
@@ -184,7 +281,7 @@ def register_scenario_deployment(
created: Final = scenario.gateway.post(
"/model/new",
JSON_OBJECT.validate_python({
- "model_name": model_name,
+ "model_name": registered_model_name,
"litellm_params": parameters,
"model_info": (
{"base_model": case.base_model}
@@ -195,4 +292,4 @@ def register_scenario_deployment(
)
identity: Final = string_value(object_value(created["model_info"])["id"])
scenario.cleanups.callback(scenario.delete_model, identity)
- return model_name
+ return RegisteredDeployment(model_name=registered_model_name, identity=identity, handle=handle)
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index 456148bc3fe..f111778b233 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -116,6 +116,7 @@ class SseResponse(BaseModel):
content_type: Literal["text/event-stream"]
frames: tuple[str, ...]
+ frame_delay_ms: int = Field(default=0, ge=0)
class EventStreamEvent(BaseModel):
@@ -160,6 +161,7 @@ class ExactExpected(BaseModel):
tool_usage_cost: float | None = None
breakdown_persisted: bool = True
cost_header: bool = True
+ rollups: bool = False
class RecountRates(BaseModel):
@@ -173,6 +175,8 @@ class RecountExpected(BaseModel):
model_config = ConfigDict(frozen=True, extra="forbid")
recount: RecountRates
+ prompt_tokens: int | None = None
+ completion_tokens: int | None = None
class FailureDetails(BaseModel):
@@ -217,6 +221,8 @@ class CostTrackingTestCase(BaseModel):
request: dict[str, JsonValue]
response: StoredResponse
expected: Expected
+ fallback_from: StoredResponse | None = None
+ disconnect_after_frames: int | None = Field(default=None, ge=1)
@property
def rates(self) -> CostMapEntry:
@@ -430,7 +436,31 @@ def data_errors() -> tuple[str, ...]:
and case.rates.mode != "image_generation"
and not case.reports_provider_cost
)
- or (not case.expected.cost_header and case.passthrough_provider is None)
+ or (
+ not case.expected.cost_header
+ and case.passthrough_provider is None
+ and not isinstance(case.response, SseResponse)
+ and case.expected.spend != 0.0
+ )
+ )
+ )
+ invalid_fallbacks: Final = sorted(
+ case.name
+ for case in CASES
+ if case.fallback_from is not None
+ and (
+ not isinstance(case.fallback_from, JsonResponse)
+ or not 400 <= case.fallback_from.status <= 599
+ )
+ )
+ invalid_disconnects: Final = sorted(
+ case.name
+ for case in CASES
+ if case.disconnect_after_frames is not None
+ and (
+ not isinstance(case.response, SseResponse)
+ or case.response.frame_delay_ms <= 0
+ or not isinstance(case.expected, RecountExpected)
)
)
return tuple(
@@ -446,6 +476,8 @@ def data_errors() -> tuple[str, ...]:
if failure_response_mismatches
else None,
f"invalid passthrough opt-outs: {invalid_opt_outs}" if invalid_opt_outs else None,
+ f"invalid fallback responses: {invalid_fallbacks}" if invalid_fallbacks else None,
+ f"invalid disconnect cases: {invalid_disconnects}" if invalid_disconnects else None,
)
if message is not None
)
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index d532a6851fd..9fb7c6990a7 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -617,6 +617,11 @@
"mode": "chat",
"input_cost_per_token": 1.51e-06,
"output_cost_per_token": 7.51e-06
+ },
+ "text-embedding-3-large": {
+ "litellm_provider": "openai",
+ "mode": "embedding",
+ "input_cost_per_token": 1.3e-07
}
},
"cases": [
@@ -6947,7 +6952,8 @@
"input_cost": 0.00552,
"output_cost": 0.00618,
"prompt_tokens": 1840,
- "completion_tokens": 412
+ "completion_tokens": 412,
+ "rollups": true
}
},
{
@@ -7608,7 +7614,9 @@
"recount": {
"input_cost_per_token": 3e-06,
"output_cost_per_token": 1.5e-05
- }
+ },
+ "prompt_tokens": 47,
+ "completion_tokens": 10
}
},
{
@@ -7695,7 +7703,9 @@
"recount": {
"input_cost_per_token": 3e-06,
"output_cost_per_token": 1.5e-05
- }
+ },
+ "prompt_tokens": 49,
+ "completion_tokens": 111
}
},
{
@@ -7752,7 +7762,9 @@
"recount": {
"input_cost_per_token": 3e-06,
"output_cost_per_token": 1.5e-05
- }
+ },
+ "prompt_tokens": 301,
+ "completion_tokens": 9
}
},
{
@@ -12782,7 +12794,9 @@
"recount": {
"input_cost_per_token": 5.2e-07,
"output_cost_per_token": 3.12e-06
- }
+ },
+ "prompt_tokens": 48,
+ "completion_tokens": 12
}
},
{
@@ -12862,7 +12876,9 @@
"recount": {
"input_cost_per_token": 5.2e-07,
"output_cost_per_token": 3.12e-06
- }
+ },
+ "prompt_tokens": 46,
+ "completion_tokens": 88
}
},
{
@@ -12914,7 +12930,9 @@
"recount": {
"input_cost_per_token": 5.2e-07,
"output_cost_per_token": 3.12e-06
- }
+ },
+ "prompt_tokens": 302,
+ "completion_tokens": 10
}
},
{
@@ -20760,7 +20778,8 @@
"input_cost": 0.00322,
"output_cost": 0.005768,
"prompt_tokens": 1840,
- "completion_tokens": 412
+ "completion_tokens": 412,
+ "rollups": true
}
},
{
@@ -21515,7 +21534,9 @@
"recount": {
"input_cost_per_token": 1.75e-06,
"output_cost_per_token": 1.4e-05
- }
+ },
+ "prompt_tokens": 49,
+ "completion_tokens": 12
}
},
{
@@ -21601,7 +21622,9 @@
"recount": {
"input_cost_per_token": 1.75e-06,
"output_cost_per_token": 1.4e-05
- }
+ },
+ "prompt_tokens": 44,
+ "completion_tokens": 105
}
},
{
@@ -21656,7 +21679,9 @@
"recount": {
"input_cost_per_token": 1.75e-06,
"output_cost_per_token": 1.4e-05
- }
+ },
+ "prompt_tokens": 302,
+ "completion_tokens": 11
}
},
{
@@ -29417,6 +29442,583 @@
"prompt_tokens": 1840,
"completion_tokens": 412
}
+ },
+ {
+ "name": "gpt-5.6-upstream_400_zero_spend",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "status": 400,
+ "body": {
+ "error": {
+ "message": "scripted upstream failure 400",
+ "type": "server_error",
+ "code": "400"
+ }
+ }
+ },
+ "expected": {
+ "failure": {
+ "status": 400
+ }
+ }
+ },
+ {
+ "name": "gpt-5.6-upstream_401_zero_spend",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "status": 401,
+ "body": {
+ "error": {
+ "message": "scripted upstream failure 401",
+ "type": "server_error",
+ "code": "401"
+ }
+ }
+ },
+ "expected": {
+ "failure": {
+ "status": 401
+ }
+ }
+ },
+ {
+ "name": "gpt-5.6-upstream_500_stream_request_zero_spend",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": true
+ },
+ "response": {
+ "content_type": "application/json",
+ "status": 500,
+ "body": {
+ "error": {
+ "message": "scripted upstream failure 500",
+ "type": "server_error",
+ "code": "500"
+ }
+ }
+ },
+ "expected": {
+ "failure": {
+ "status": 500
+ }
+ }
+ },
+ {
+ "name": "gpt-5.6-responses_upstream_500_zero_spend",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/responses",
+ "request": {
+ "model": "$MODEL",
+ "input": "proxy behaviour probe",
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "status": 500,
+ "body": {
+ "error": {
+ "message": "scripted upstream failure 500",
+ "type": "server_error",
+ "code": "500"
+ }
+ }
+ },
+ "expected": {
+ "failure": {
+ "status": 500
+ }
+ }
+ },
+ {
+ "name": "claude-sonnet-5-messages_upstream_500_zero_spend",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "endpoint": "/v1/messages",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ]
+ },
+ "response": {
+ "content_type": "application/json",
+ "status": 500,
+ "body": {
+ "error": {
+ "message": "scripted upstream failure 500",
+ "type": "server_error",
+ "code": "500"
+ }
+ }
+ },
+ "expected": {
+ "failure": {
+ "status": 500
+ }
+ }
+ },
+ {
+ "name": "gpt-5.6-fallback_billed_to_answering_deployment",
+ "covers": "quota_management.spend_tracking.routing.fallback_billing",
+ "model": "gpt-5.6",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "chatcmpl-$REQUEST_ID",
+ "object": "chat.completion",
+ "created": 1789788262,
+ "model": "gpt-5.6",
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "scripted answer"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252
+ }
+ }
+ },
+ "fallback_from": {
+ "content_type": "application/json",
+ "status": 500,
+ "body": {
+ "error": {
+ "message": "scripted upstream failure 500",
+ "type": "server_error",
+ "code": "500"
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.008988,
+ "input_cost": 0.00322,
+ "output_cost": 0.005768,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "gpt-5.6-n_2_choices",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "chatcmpl-$REQUEST_ID",
+ "object": "chat.completion",
+ "created": 1789788262,
+ "model": "gpt-5.6",
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "scripted answer"
+ },
+ "finish_reason": "stop"
+ },
+ {
+ "index": 1,
+ "message": {
+ "role": "assistant",
+ "content": "second choice"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.008988,
+ "input_cost": 0.00322,
+ "output_cost": 0.005768,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "gpt-5.6-finish_reason_length",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "chatcmpl-$REQUEST_ID",
+ "object": "chat.completion",
+ "created": 1789788262,
+ "model": "gpt-5.6",
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "truncated"
+ },
+ "finish_reason": "length"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.008988,
+ "input_cost": 0.00322,
+ "output_cost": 0.005768,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "gpt-5.6-stream_usage_in_empty_choices_chunk",
+ "covers": "quota_management.spend_tracking.scripted_wire.logs_cost",
+ "model": "gpt-5.6",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": true,
+ "stream_options": {
+ "include_usage": true
+ }
+ },
+ "response": {
+ "content_type": "text/event-stream",
+ "frames": [
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"scripted answer\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[],\"usage\":{\"prompt_tokens\":1840,\"completion_tokens\":412,\"total_tokens\":2252}}",
+ "data: [DONE]"
+ ]
+ },
+ "expected": {
+ "spend": 0.008988,
+ "input_cost": 0.00322,
+ "output_cost": 0.005768,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "cost_header": false
+ }
+ },
+ {
+ "name": "gpt-5.6-stream_usage_in_last_delta_chunk",
+ "covers": "quota_management.spend_tracking.scripted_wire.logs_cost",
+ "model": "gpt-5.6",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": true,
+ "stream_options": {
+ "include_usage": true
+ }
+ },
+ "response": {
+ "content_type": "text/event-stream",
+ "frames": [
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"scripted answer\"},\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":1840,\"completion_tokens\":412,\"total_tokens\":2252}}",
+ "data: [DONE]"
+ ]
+ },
+ "expected": {
+ "spend": 0.008988,
+ "input_cost": 0.00322,
+ "output_cost": 0.005768,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "cost_header": false
+ }
+ },
+ {
+ "name": "gpt-5.6-unknown_model_response_model_unknown",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "deployment": {
+ "model": "openai/not-in-any-map-xyz"
+ },
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "chatcmpl-$REQUEST_ID",
+ "object": "chat.completion",
+ "created": 1789788262,
+ "model": "not-in-any-map-xyz",
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "scripted answer"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0,
+ "input_cost": 0.0,
+ "output_cost": 0.0,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "cost_header": false
+ }
+ },
+ {
+ "name": "gpt-5.6-unknown_model_response_model_known",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "gpt-5.6",
+ "deployment": {
+ "model": "openai/not-in-any-map-xyz"
+ },
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "chatcmpl-$REQUEST_ID",
+ "object": "chat.completion",
+ "created": 1789788262,
+ "model": "gpt-5.6",
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "scripted answer"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.008988,
+ "input_cost": 0.00322,
+ "output_cost": 0.005768,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "gpt-5.6-chat_request_to_embedding_entry",
+ "covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
+ "model": "text-embedding-3-large",
+ "deployment": {
+ "model": "openai/text-embedding-3-large"
+ },
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": false
+ },
+ "response": {
+ "content_type": "application/json",
+ "body": {
+ "id": "chatcmpl-$REQUEST_ID",
+ "object": "chat.completion",
+ "created": 1789788262,
+ "model": "text-embedding-3-large",
+ "choices": [
+ {
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "scripted answer"
+ },
+ "finish_reason": "stop"
+ }
+ ],
+ "usage": {
+ "prompt_tokens": 1840,
+ "completion_tokens": 412,
+ "total_tokens": 2252
+ }
+ }
+ },
+ "expected": {
+ "spend": 0.0002392,
+ "input_cost": 0.0002392,
+ "output_cost": 0.0,
+ "prompt_tokens": 1840,
+ "completion_tokens": 412
+ }
+ },
+ {
+ "name": "gpt-5.6-client_disconnect_mid_stream",
+ "covers": "quota_management.spend_tracking.scripted_wire.client_disconnect",
+ "model": "gpt-5.6",
+ "request": {
+ "model": "$MODEL",
+ "messages": [
+ {
+ "role": "user",
+ "content": "proxy behaviour probe"
+ }
+ ],
+ "stream": true,
+ "stream_options": {
+ "include_usage": true
+ }
+ },
+ "response": {
+ "content_type": "text/event-stream",
+ "frames": [
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-0\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-1\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-2\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-3\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-4\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-5\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-6\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-7\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-8\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-9\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-10\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-11\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-12\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-13\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-14\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-15\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-16\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-17\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-18\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: {\"id\":\"chatcmpl-$REQUEST_ID\",\"object\":\"chat.completion.chunk\",\"created\":1789788263,\"model\":\"gpt-5.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"frame-19\"},\"finish_reason\":null}],\"usage\":null}",
+ "data: [DONE]"
+ ],
+ "frame_delay_ms": 200
+ },
+ "disconnect_after_frames": 3,
+ "expected": {
+ "recount": {
+ "input_cost_per_token": 1.75e-06,
+ "output_cost_per_token": 1.4e-05
+ }
+ }
}
]
}
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index 8c5f306dd9d..e8eed98205e 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -3,10 +3,12 @@
from __future__ import annotations
import io
+from itertools import islice
import json
from hashlib import sha256
import struct
from typing import Final, cast
+import uuid
import wave
import zlib
@@ -18,10 +20,13 @@ from integration._support.client import JSON_OBJECT, Gateway
from integration._support.upstream import delete_scenario, register_scenario
from integration.cost_calculation.conftest import (
CostBreakdown,
+ CostRow,
approx_equal,
assert_total_is_sum_of_components,
poll_cost_row,
poll_failure_row,
+ poll_rollups,
+ poll_rows,
register_scenario_deployment,
)
from integration.cost_calculation.cost_tracking_case import (
@@ -179,11 +184,47 @@ def _assert_breakdown(
)
+def _assert_exact(
+ case: CostTrackingTestCase,
+ expected: ExactExpected,
+ row: CostRow,
+ response: httpx.Response,
+) -> None:
+ assert row.spend is not None and approx_equal(row.spend, expected.spend), (
+ f"{case.name}: spend {row.spend} != expected {expected.spend} "
+ f"(breakdown {row.breakdown.model_dump() if row.breakdown is not None else None})"
+ )
+ breakdown: Final = row.breakdown
+ if expected.breakdown_persisted:
+ assert breakdown is not None, f"{case.name}: no cost_breakdown persisted"
+ if breakdown is not None:
+ _assert_breakdown(case, expected, breakdown, response)
+ assert row.prompt_tokens == expected.prompt_tokens, (
+ f"{case.name}: prompt_tokens {row.prompt_tokens} != expected {expected.prompt_tokens}"
+ )
+ assert row.completion_tokens == expected.completion_tokens, (
+ f"{case.name}: completion_tokens {row.completion_tokens} != expected {expected.completion_tokens}"
+ )
+ if breakdown is not None:
+ assert_total_is_sum_of_components(row, breakdown, case.name)
+
+
@pytest.mark.parametrize("case", _CASES)
def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase) -> None:
marker: Final = sha256(case.name.encode()).hexdigest()[:12]
with gateway.scenario() as scenario:
- key: Final = scenario.key()
+ expected: Final = case.expected
+ team_id: Final = scenario.team() if isinstance(expected, ExactExpected) and expected.rollups else None
+ user_id: Final = (
+ scenario.user(team_id=team_id)
+ if team_id is not None
+ else None
+ )
+ key: Final = (
+ scenario.key(team_id=team_id, user_id=user_id)
+ if team_id is not None and user_id is not None
+ else scenario.key()
+ )
passthrough_provider: Final = case.passthrough_provider
scenario_id: Final = f"sc-{marker}-{sha256(key.encode()).hexdigest()[:12]}"
scenario_handle: Final = (
@@ -193,21 +234,73 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
)
if scenario_handle is not None:
scenario.cleanups.callback(delete_scenario, scenario_handle)
+ deployment: Final = (
+ register_scenario_deployment(scenario, case, marker, key)
+ if passthrough_provider is None
+ else None
+ )
+ fallback_deployment: Final = (
+ register_scenario_deployment(
+ scenario,
+ case,
+ marker,
+ key,
+ response=case.fallback_from,
+ marker_suffix="-fb",
+ )
+ if case.fallback_from is not None
+ else None
+ )
+ if isinstance(expected, ExactExpected) and expected.rollups:
+ assert deployment is not None
+ rollup_deployments: Final = tuple(
+ register_scenario_deployment(
+ scenario,
+ case,
+ marker,
+ key,
+ marker_suffix=f"-r{index}",
+ model_name=deployment.model_name,
+ )
+ for index in (2, 3)
+ )
+ assert len(rollup_deployments) == 2
model_name: Final = (
case.model
if passthrough_provider in {"gemini", "anthropic"}
- else register_scenario_deployment(scenario, case, marker, key)
+ else deployment.model_name if deployment is not None else None
)
+ assert model_name is not None
request_model: Final = (
case.model.rsplit("/", 1)[-1]
if passthrough_provider in {"gemini", "anthropic"}
- else model_name
+ else fallback_deployment.model_name if fallback_deployment is not None else model_name
)
- request_body: Final = JSON_OBJECT.validate_python(
+ base_request_values: Final = (
_replace_model(case.request, request_model)
if passthrough_provider is not None
else {**case.request, "model": model_name}
)
+ end_user_id: Final = (
+ f"end-user-{uuid.uuid4()}"
+ if isinstance(expected, ExactExpected) and expected.rollups
+ else None
+ )
+ request_body: Final = JSON_OBJECT.validate_python(
+ {
+ **base_request_values,
+ **(
+ {"model": fallback_deployment.model_name, "fallbacks": [model_name]}
+ if fallback_deployment is not None
+ else {}
+ ),
+ **(
+ {"user": end_user_id, "cache": {"no-cache": True}}
+ if end_user_id is not None
+ else {}
+ ),
+ }
+ )
request_headers: Final = (
{
"x-pass-x-scripted-scenario": scenario_id,
@@ -225,12 +318,45 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
if passthrough_provider is not None
else case.endpoint
)
- response: Final = (
- _multipart_request(gateway, case, model_name, key)
- if case.upload is not None
- else gateway.request("POST", request_path, request_body, key=key, headers=request_headers)
+ if case.disconnect_after_frames is not None:
+ with gateway.client.stream(
+ "POST",
+ request_path,
+ json=request_body,
+ headers={"Authorization": f"Bearer {key}", **request_headers},
+ ) as stream_response:
+ frames: Final = tuple(
+ islice(
+ (line for line in stream_response.iter_lines() if line.startswith("data:")),
+ case.disconnect_after_frames,
+ )
+ )
+ assert len(frames) == case.disconnect_after_frames
+ row: Final = poll_cost_row(key)
+ assert isinstance(expected, RecountExpected)
+ if expected.prompt_tokens is not None:
+ assert row.prompt_tokens == expected.prompt_tokens
+ if expected.completion_tokens is not None:
+ assert row.completion_tokens == expected.completion_tokens
+ assert row.prompt_tokens is not None and row.prompt_tokens > 0
+ assert row.completion_tokens is not None and row.completion_tokens > 0
+ recount: Final = row.prompt_tokens * expected.recount.input_cost_per_token + (
+ row.completion_tokens * expected.recount.output_cost_per_token
+ )
+ assert row.spend is not None and approx_equal(row.spend, recount)
+ assert row.breakdown is not None
+ assert_total_is_sum_of_components(row, row.breakdown, case.name)
+ return
+ responses: Final = tuple(
+ (
+ _multipart_request(gateway, case, model_name, key)
+ if case.upload is not None
+ else gateway.request("POST", request_path, request_body, key=key, headers=request_headers)
+ )
+ for _ in range(3 if isinstance(expected, ExactExpected) and expected.rollups else 1)
)
- if isinstance(case.expected, FailureExpected):
+ response: Final = responses[0]
+ if isinstance(expected, FailureExpected):
assert response.status_code == case.expected.failure.status, (
f"{case.name}: proxy returned {response.status_code}, expected {case.expected.failure.status}: "
f"{response.text[:400]}"
@@ -245,8 +371,9 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert response.is_success, f"{case.name}: proxy returned {response.status_code}: {response.text[:400]}"
if case.response.content_type == "text/event-stream":
_assert_stream_has_no_error(response.text)
- row: Final = poll_cost_row(key)
- if isinstance(case.expected, RecountExpected):
+ rows: Final = poll_rows(key) if len(responses) > 1 else (poll_cost_row(key),)
+ if isinstance(expected, RecountExpected):
+ row: Final = rows[0]
assert row.prompt_tokens is not None and row.prompt_tokens > 0, (
f"{case.name}: recount case counted no input tokens: prompt_tokens={row.prompt_tokens}"
)
@@ -263,8 +390,12 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert breakdown is not None, f"{case.name}: no cost_breakdown persisted"
assert_total_is_sum_of_components(row, breakdown, case.name)
return
- expected: Final = case.expected
assert isinstance(expected, ExactExpected)
+ if fallback_deployment is not None:
+ assert deployment is not None
+ assert len(rows) == 1
+ assert rows[0].status == "success"
+ assert rows[0].model_id == deployment.identity
if isinstance(case.response, BinaryResponse):
header: Final = response.headers.get("x-litellm-response-cost")
if header is not None:
@@ -281,20 +412,22 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert approx_equal(float(header), expected.spend), (
f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
)
- assert row.spend is not None and approx_equal(row.spend, expected.spend), (
- f"{case.name}: spend {row.spend} != expected {expected.spend} "
- f"(breakdown {row.breakdown.model_dump() if row.breakdown is not None else None})"
- )
- breakdown: Final = row.breakdown
- if expected.breakdown_persisted:
- assert breakdown is not None, f"{case.name}: no cost_breakdown persisted"
- if breakdown is not None:
- _assert_breakdown(case, expected, breakdown, response)
- assert row.prompt_tokens == expected.prompt_tokens, (
- f"{case.name}: prompt_tokens {row.prompt_tokens} != expected {expected.prompt_tokens}"
- )
- assert row.completion_tokens == expected.completion_tokens, (
- f"{case.name}: completion_tokens {row.completion_tokens} != expected {expected.completion_tokens}"
- )
- if breakdown is not None:
- assert_total_is_sum_of_components(row, breakdown, case.name)
+ for row in rows:
+ _assert_exact(case, expected, row, response)
+ if expected.rollups:
+ assert deployment is not None and team_id is not None and user_id is not None
+ assert end_user_id is not None
+ rollups: Final = poll_rollups(key, team_id, user_id, end_user_id)
+ target_spend: Final = expected.spend * 3
+ assert approx_equal(rollups.key_spend, target_spend)
+ assert approx_equal(rollups.team_spend, target_spend)
+ assert approx_equal(rollups.user_spend, target_spend)
+ assert approx_equal(rollups.end_user_spend, target_spend)
+ assert approx_equal(rollups.daily_user.spend or 0.0, target_spend)
+ assert approx_equal(rollups.daily_team.spend or 0.0, target_spend)
+ assert rollups.daily_user.prompt_tokens == expected.prompt_tokens * 3
+ assert rollups.daily_user.completion_tokens == expected.completion_tokens * 3
+ assert rollups.daily_user.api_requests == 3
+ assert rollups.daily_team.prompt_tokens == expected.prompt_tokens * 3
+ assert rollups.daily_team.completion_tokens == expected.completion_tokens * 3
+ assert rollups.daily_team.api_requests == 3
From 401baf32c3f6bb11bce52dee3bd253e0a6e8d9e0 Mon Sep 17 00:00:00 2001
From: Moe Khalil
Date: Sun, 20 Sep 2026 00:26:11 +0000
Subject: [PATCH 094/246] fix(auto-router): preserve JEV transport across
dashboard edits
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../model_management_endpoints.py | 58 ++++++++++++++---
.../test_model_management_endpoints.py | 62 +++++++++++++++++++
...d_updated_complexity_router_config.test.ts | 34 ++++++++++
3 files changed, 144 insertions(+), 10 deletions(-)
diff --git a/litellm/proxy/management_endpoints/model_management_endpoints.py b/litellm/proxy/management_endpoints/model_management_endpoints.py
index 554daf030c7..ea124776d0b 100644
--- a/litellm/proxy/management_endpoints/model_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/model_management_endpoints.py
@@ -22,7 +22,7 @@ from types import MappingProxyType
from typing import TYPE_CHECKING, Annotated, Final, Literal, Protocol, TypeVar, cast, runtime_checkable
from fastapi import APIRouter, Depends, Header, HTTPException, Request, status
-from pydantic import BaseModel, ConfigDict, Field, ValidationError, field_validator
+from pydantic import BaseModel, ConfigDict, Field, TypeAdapter, ValidationError, field_validator
import litellm
from litellm._logging import verbose_proxy_logger
@@ -289,7 +289,11 @@ def _strategy_router_write_violation(
if incoming_params is None:
return None
config_violation: Final = validate_complexity_router_config_write(
- complexity_router_config=incoming_params.complexity_router_config
+ complexity_router_config=(
+ _effective_complexity_router_config(incoming_params, existing_params)
+ if incoming_params.complexity_router_config is not None
+ else None
+ )
)
if config_violation is not None:
return config_violation
@@ -350,11 +354,33 @@ WHERE model_id <> $1
def _effective_complexity_router_config(
incoming_params: GenericLiteLLMParams | None, existing_params: GenericLiteLLMParams | None
) -> object:
- """The complexity config a write leaves on the row: the incoming one when the write carries it, else the stored one."""
incoming: Final = None if incoming_params is None else incoming_params.complexity_router_config
- if incoming is not None or existing_params is None:
+ existing: Final = None if existing_params is None else existing_params.complexity_router_config
+ if incoming is None:
+ return existing
+ if existing is None or incoming.get("classifier_type") != "jev" or existing.get("classifier_type") != "jev":
return incoming
- return existing_params.complexity_router_config
+ incoming_jev: Final[object] = incoming.get("jev_classifier_config")
+ existing_jev: Final[object] = existing.get("jev_classifier_config")
+ if not isinstance(incoming_jev, Mapping) or not isinstance(existing_jev, Mapping):
+ return incoming
+ supplied: Final = TypeAdapter(dict[str, object]).validate_python(incoming_jev)
+ stored: Final = TypeAdapter(dict[str, object]).validate_python(existing_jev)
+ same_base: Final = "api_base" not in supplied or supplied["api_base"] == stored.get("api_base")
+ transport: Final = MappingProxyType(
+ {
+ key: value
+ for key, value in stored.items()
+ if key in ("api_key", "api_base") and (key != "api_key" or same_base)
+ }
+ )
+ return { # mutable-ok: persisted JSON requires concrete nested dicts
+ **incoming,
+ "jev_classifier_config": { # mutable-ok: json.dumps cannot serialize MappingProxyType
+ **transport,
+ **supplied,
+ },
+ }
def _effective_model(
@@ -886,7 +912,12 @@ def update_db_model(db_model: Deployment, updated_patch: updateDeployment) -> Pr
if updated_patch.litellm_params:
# Encrypt any sensitive values
encrypted_params: Final = {
- k: encrypt_value_helper(v) for k, v in updated_patch.litellm_params.model_dump(exclude_none=True).items()
+ k: (
+ _effective_complexity_router_config(updated_patch.litellm_params, db_model.litellm_params)
+ if k == "complexity_router_config"
+ else encrypt_value_helper(v)
+ )
+ for k, v in updated_patch.litellm_params.model_dump(exclude_none=True).items()
}
merged_litellm_params.update(encrypted_params)
@@ -2528,14 +2559,21 @@ async def update_model(
_new_litellm_params_dict: Final = model_params.litellm_params.dict(exclude_none=True)
### ENCRYPT PARAMS ###
- for k, v in _new_litellm_params_dict.items():
- encrypted_value = encrypt_value_helper(value=v)
- model_params.litellm_params[k] = encrypted_value
+ encrypted_params: Final = MappingProxyType(
+ {
+ k: (
+ _effective_complexity_router_config(model_params.litellm_params, deployment.litellm_params)
+ if k == "complexity_router_config"
+ else encrypt_value_helper(value=v)
+ )
+ for k, v in _new_litellm_params_dict.items()
+ }
+ )
### MERGE WITH EXISTING DATA ###
_mp: Final[dict[str, object]] = model_params.litellm_params.dict()
merged_dictionary: Final = {
- key: _existing_litellm_params_dict[key] if value is None else value
+ key: _existing_litellm_params_dict[key] if value is None else encrypted_params[key]
for key, value in _mp.items()
if value is not None or _existing_litellm_params_dict.get(key) is not None
}
diff --git a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
index daaad6efe4c..376309d8a7e 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
@@ -17,6 +17,7 @@ from litellm.proxy._types import (
LiteLLM_TeamTable,
LitellmUserRoles,
Member,
+ ProxyException,
ReconcileOutcome,
UserAPIKeyAuth,
)
@@ -27,6 +28,8 @@ from litellm.proxy.management_endpoints.model_management_endpoints import (
_raise_if_rate_limits_required_but_missing,
clear_cache,
delete_team_models,
+ patch_model,
+ update_model,
)
from litellm.proxy.utils import PrismaClient
from litellm.router import Router
@@ -6602,6 +6605,65 @@ class TestTeamMemberAutoRouterWrites:
assert saved_info["team_id"] == "member-team"
assert saved_info["access_groups"] == ["retained-admin-group"]
+ @pytest.mark.asyncio
+ @pytest.mark.parametrize("endpoint", ["patch", "legacy"])
+ @pytest.mark.parametrize("change", ["save", "rotate", "move", "move-without-key", "reset", "heuristic"])
+ async def test_jev_dashboard_save_preserves_server_transport(self, endpoint: str, change: str) -> None:
+ original: Final = self._row()
+ transport: Final = {"api_key": "synthetic-original-jev-key", "api_base": "https://jev.example.com"}
+ stored_config: Final = {
+ "classifier_type": "jev",
+ "tiers": {"SIMPLE": "allowed"},
+ "jev_classifier_config": {**transport, "instructions": "Old instructions", "timeout_ms": 6100},
+ }
+ row: Final = original.model_copy(
+ update={
+ "litellm_params": {
+ "model": "auto_router/complexity_router",
+ "complexity_router_config": stored_config,
+ },
+ }
+ )
+ database: Final = self._database(self._team(), row)
+ overrides: Final = {
+ "save": {},
+ "rotate": {"api_key": "synthetic-replacement-jev-key"},
+ "move": {"api_base": "https://new-jev.example.com", "api_key": "synthetic-replacement-jev-key"},
+ "move-without-key": {"api_base": "https://new-jev.example.com"},
+ "reset": {"api_key": None, "api_base": None},
+ "heuristic": {},
+ }[change]
+ config: Final = {
+ "tiers": {"SIMPLE": "allowed"},
+ "classifier_type": "heuristic" if change == "heuristic" else "jev",
+ **({} if change == "heuristic" else {"jev_classifier_config": {"timeout_ms": 8100, **overrides}}),
+ }
+ request: Final = updateDeployment(
+ litellm_params=updateLiteLLMParams(complexity_router_config=config),
+ model_info=ModelInfo(id=row.model_id),
+ )
+ actor: Final = UserAPIKeyAuth(user_id="admin", user_role=LitellmUserRoles.PROXY_ADMIN)
+ with self._environment(database, row):
+ operation: Final = (
+ patch_model(row.model_id, request, actor) if endpoint == "patch" else update_model(request, actor)
+ )
+ if change == "move-without-key":
+ with pytest.raises(ProxyException, match="api_base requires"):
+ await operation
+ database.db.litellm_proxymodeltable.update.assert_not_awaited()
+ return
+ await operation
+ written: Final = database.db.litellm_proxymodeltable.update.await_args.kwargs["data"]
+ saved: Final = json.loads(written["litellm_params"])["complexity_router_config"]
+ expected: Final = (
+ config
+ if change == "heuristic"
+ else {**config, "jev_classifier_config": {**transport, "timeout_ms": 8100, **overrides}}
+ )
+ assert saved == expected
+ assert row.litellm_params["complexity_router_config"] == stored_config
+ assert request.litellm_params.complexity_router_config == config
+
@pytest.mark.asyncio
@pytest.mark.parametrize("endpoint", ["patch", "legacy"])
@pytest.mark.parametrize("access", ["owner", "peer", "limited-key"])
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
index 604d2c9113d..85439d99f21 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
@@ -48,6 +48,40 @@ const hydratedState: KeywordMatchingState = {
};
describe("buildUpdatedComplexityRouterConfig keyword matching", () => {
+ it.each([false, true])("omits masked JEV credentials from dashboard saves, edited: %s", (edited) => {
+ const stored = {
+ classifier_type: "jev" as const,
+ tiers: FORM_VALUE.tiers,
+ jev_classifier_config: {
+ model: "jev-configured",
+ timeout_ms: 6100,
+ instructions: "Existing instructions",
+ api_key: "sk-s****************cret",
+ api_base: "https://jev.example.com",
+ },
+ };
+ const hydrated = hydrateComplexityRouterConfig(stored, undefined);
+ expect(hydrated.jev_classifier_config).not.toHaveProperty("api_key");
+ expect(hydrated.jev_classifier_config).not.toHaveProperty("api_base");
+ const value = edited
+ ? {
+ ...hydrated,
+ jev_classifier_config: { model: "jev-updated", timeout_ms: 8100, instructions: "" },
+ }
+ : hydrated;
+ const saved = buildUpdatedComplexityRouterConfig(stored, value);
+ expect(saved.jev_classifier_config).toEqual({
+ ...(edited
+ ? { model: "jev-updated", timeout_ms: 8100 }
+ : { model: "jev-configured", timeout_ms: 6100, instructions: "Existing instructions" }),
+ });
+ for (const classifierType of ["llm", "heuristic"] as const) {
+ expect(
+ buildUpdatedComplexityRouterConfig(saved, transitionClassifierType(value, classifierType)),
+ ).not.toHaveProperty("jev_classifier_config");
+ }
+ });
+
it("hydrates nullable JEV instructions without resetting the server configuration", () => {
const stored = {
classifier_type: "jev" as const,
From 2edea0be086ebbf9c7c6ae0c1a539b64c588fabe Mon Sep 17 00:00:00 2001
From: kerry
Date: Sun, 20 Sep 2026 00:36:18 +0000
Subject: [PATCH 095/246] test(integration): assert recount pins and unique
fixture request ids
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/_support/upstream.py | 22 ++++--
.../integration/cost_calculation/conftest.py | 13 ++--
.../cost_calculation/cost_tracking_case.py | 22 ++++++
.../cost_calculation/cost_tracking_cases.json | 17 ++--
.../cost_calculation/test_cost_tracking.py | 77 ++++++++-----------
5 files changed, 86 insertions(+), 65 deletions(-)
diff --git a/tests/integration/_support/upstream.py b/tests/integration/_support/upstream.py
index acaf036d507..759df7003e4 100644
--- a/tests/integration/_support/upstream.py
+++ b/tests/integration/_support/upstream.py
@@ -12,6 +12,7 @@ from pathlib import Path
from queue import SimpleQueue
import struct
from typing import Final, cast
+import uuid
import zlib
import httpx
@@ -79,10 +80,15 @@ def _aws_str_header(name: str, value: str) -> bytes:
)
-def _aws_event_frame(event_type: str, payload: Mapping[str, JsonValue], scenario_id: str) -> bytes:
+def _aws_event_frame(
+ event_type: str,
+ payload: Mapping[str, JsonValue],
+ scenario_id: str,
+ unique_id: str,
+) -> bytes:
payload_bytes: Final = json.dumps(payload, separators=(",", ":")).replace(
"$REQUEST_ID", scenario_id
- ).encode()
+ ).replace("$UNIQUE_ID", unique_id).encode()
headers_bytes: Final = (
_aws_str_header(":event-type", event_type)
+ _aws_str_header(":content-type", "application/json")
@@ -209,11 +215,14 @@ class Provider:
@staticmethod
def _response(response: StoredResponse, scenario_id: str) -> Response:
+ unique_id: Final = f"{scenario_id}-{uuid.uuid4().hex[:8]}"
match response:
case JsonResponse():
return Response(
content=json.dumps(response.body, separators=(",", ":")).replace(
"$REQUEST_ID", scenario_id
+ ).replace(
+ "$UNIQUE_ID", unique_id
).encode(),
media_type=response.content_type,
status_code=response.status,
@@ -227,13 +236,15 @@ class Provider:
if response.frame_delay_ms > 0:
async def stream() -> AsyncIterator[bytes]:
for frame in response.frames:
- yield f"{frame.replace('$REQUEST_ID', scenario_id)}\n\n".encode()
+ yield (
+ f"{frame.replace('$REQUEST_ID', scenario_id).replace('$UNIQUE_ID', unique_id)}\n\n"
+ ).encode()
await asyncio.sleep(response.frame_delay_ms / 1000)
return StreamingResponse(stream(), media_type=response.content_type)
stream_body: Final = ("\n\n".join(response.frames) + "\n\n").replace(
"$REQUEST_ID", scenario_id
- )
+ ).replace("$UNIQUE_ID", unique_id)
return Response(content=stream_body.encode(), media_type=response.content_type)
case EventStreamResponse():
events: Final = (
@@ -244,6 +255,7 @@ class Provider:
"bytes": base64.b64encode(
json.dumps(event.payload, separators=(",", ":"))
.replace("$REQUEST_ID", scenario_id)
+ .replace("$UNIQUE_ID", unique_id)
.encode()
).decode(),
},
@@ -254,7 +266,7 @@ class Provider:
else response.events
)
event_body: Final = b"".join(
- _aws_event_frame(event.event_type, event.payload, scenario_id) for event in events
+ _aws_event_frame(event.event_type, event.payload, scenario_id, unique_id) for event in events
)
return Response(content=event_body, media_type=response.content_type)
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index a70cd3619ae..d7f817efc3a 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -62,12 +62,12 @@ class FailureRow(BaseModel):
class DailySpend(BaseModel):
- model_config = ConfigDict(extra="ignore")
+ model_config = ConfigDict(frozen=True, extra="forbid")
- spend: float | None = None
- prompt_tokens: int | None = None
- completion_tokens: int | None = None
- api_requests: int | None = None
+ spend: float
+ prompt_tokens: int
+ completion_tokens: int
+ api_requests: int
class Rollups(BaseModel):
@@ -245,7 +245,6 @@ def register_scenario_deployment(
*,
response: StoredResponse | None = None,
marker_suffix: str = "",
- model_name: str | None = None,
) -> RegisteredDeployment:
control_url: Final = os.environ["INTEGRATION_UPSTREAM_URL"].rstrip("/")
run_marker: Final = sha256(key.encode()).hexdigest()[:12]
@@ -254,7 +253,7 @@ def register_scenario_deployment(
case.response if response is None else response,
)
scenario.cleanups.callback(delete_scenario, handle)
- registered_model_name: Final = model_name or f"cost-{marker}{marker_suffix}-{run_marker}"
+ registered_model_name: Final = f"cost-{marker}{marker_suffix}-{run_marker}"
parameters: Final = {
"model": case.litellm_model,
"api_key": case.api_key,
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index f111778b233..effb6f2ed35 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -177,6 +177,7 @@ class RecountExpected(BaseModel):
recount: RecountRates
prompt_tokens: int | None = None
completion_tokens: int | None = None
+ min_completion_tokens: int | None = None
class FailureDetails(BaseModel):
@@ -463,6 +464,23 @@ def data_errors() -> tuple[str, ...]:
or not isinstance(case.expected, RecountExpected)
)
)
+ invalid_rollup_ids: Final = sorted(
+ case.name
+ for case in CASES
+ if isinstance(case.expected, ExactExpected)
+ and case.expected.rollups
+ and "$UNIQUE_ID" not in case.response.model_dump_json()
+ )
+ invalid_pinned_tool_ids: Final = sorted(
+ case.name
+ for case in CASES
+ if isinstance(case.expected, RecountExpected)
+ and (case.expected.prompt_tokens is not None or case.expected.completion_tokens is not None)
+ and any(
+ marker in case.response.model_dump_json()
+ for marker in ('"id": "call_$REQUEST_ID"', '"id": "toolu_$REQUEST_ID"')
+ )
+ )
return tuple(
message
for message in (
@@ -478,6 +496,10 @@ def data_errors() -> tuple[str, ...]:
f"invalid passthrough opt-outs: {invalid_opt_outs}" if invalid_opt_outs else None,
f"invalid fallback responses: {invalid_fallbacks}" if invalid_fallbacks else None,
f"invalid disconnect cases: {invalid_disconnects}" if invalid_disconnects else None,
+ f"rollup responses lack $UNIQUE_ID: {invalid_rollup_ids}" if invalid_rollup_ids else None,
+ f"pinned tool IDs contain $REQUEST_ID: {invalid_pinned_tool_ids}"
+ if invalid_pinned_tool_ids
+ else None,
)
if message is not None
)
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index 9fb7c6990a7..facab77828c 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -6930,7 +6930,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "msg_$REQUEST_ID",
+ "id": "msg_$UNIQUE_ID",
"type": "message",
"role": "assistant",
"model": "claude-sonnet-5",
@@ -7690,7 +7690,7 @@
"content_type": "text/event-stream",
"frames": [
"event: message_start\ndata: {\"type\": \"message_start\", \"message\": {\"id\": \"msg_$REQUEST_ID\", \"type\": \"message\", \"role\": \"assistant\", \"model\": \"claude-sonnet-5\", \"content\": [], \"stop_reason\": null}}",
- "event: content_block_start\ndata: {\"type\": \"content_block_start\", \"index\": 0, \"content_block\": {\"type\": \"tool_use\", \"id\": \"toolu_$REQUEST_ID\", \"name\": \"get_weather\", \"input\": {}}}",
+ "event: content_block_start\ndata: {\"type\": \"content_block_start\", \"index\": 0, \"content_block\": {\"type\": \"tool_use\", \"id\": \"call_fixture_0001\", \"name\": \"get_weather\", \"input\": {}}}",
"event: content_block_delta\ndata: {\"type\": \"content_block_delta\", \"index\": 0, \"delta\": {\"type\": \"input_json_delta\", \"partial_json\": \"{\\\"city\\\": \\\"Berlin\\\", \\\"days\\\": 7, \\\"units\\\": \\\"metric\\\", \\\"notes\\\": \\\"filler filler filler filler fil\"}}",
"event: content_block_delta\ndata: {\"type\": \"content_block_delta\", \"index\": 0, \"delta\": {\"type\": \"input_json_delta\", \"partial_json\": \"ler filler filler filler filler filler filler filler filler filler filler filler filler fi\"}}",
"event: content_block_delta\ndata: {\"type\": \"content_block_delta\", \"index\": 0, \"delta\": {\"type\": \"input_json_delta\", \"partial_json\": \"ller filler filler filler filler filler filler filler filler filler filler filler filler \\\"}\"}}",
@@ -7704,8 +7704,7 @@
"input_cost_per_token": 3e-06,
"output_cost_per_token": 1.5e-05
},
- "prompt_tokens": 49,
- "completion_tokens": 111
+ "min_completion_tokens": 60
}
},
{
@@ -12877,8 +12876,7 @@
"input_cost_per_token": 5.2e-07,
"output_cost_per_token": 3.12e-06
},
- "prompt_tokens": 46,
- "completion_tokens": 88
+ "min_completion_tokens": 60
}
},
{
@@ -20752,7 +20750,7 @@
"response": {
"content_type": "application/json",
"body": {
- "id": "chatcmpl-$REQUEST_ID",
+ "id": "chatcmpl-$UNIQUE_ID",
"object": "chat.completion",
"created": 1789788262,
"model": "gpt-5.6",
@@ -21610,7 +21608,7 @@
"content_type": "text/event-stream",
"frames": [
"data: {\"id\": \"chatcmpl-$REQUEST_ID\", \"object\": \"chat.completion.chunk\", \"created\": 1789788263, \"model\": \"gpt-5.6\", \"choices\": [{\"index\": 0, \"delta\": {\"role\": \"assistant\"}, \"finish_reason\": null}], \"usage\": null}",
- "data: {\"id\": \"chatcmpl-$REQUEST_ID\", \"object\": \"chat.completion.chunk\", \"created\": 1789788263, \"model\": \"gpt-5.6\", \"choices\": [{\"index\": 0, \"delta\": {\"role\": \"assistant\", \"tool_calls\": [{\"index\": 0, \"id\": \"call_$REQUEST_ID\", \"type\": \"function\", \"function\": {\"name\": \"get_weather\", \"arguments\": \"\"}}]}, \"finish_reason\": null}], \"usage\": null}",
+ "data: {\"id\": \"chatcmpl-$REQUEST_ID\", \"object\": \"chat.completion.chunk\", \"created\": 1789788263, \"model\": \"gpt-5.6\", \"choices\": [{\"index\": 0, \"delta\": {\"role\": \"assistant\", \"tool_calls\": [{\"index\": 0, \"id\": \"call_fixture_0001\", \"type\": \"function\", \"function\": {\"name\": \"get_weather\", \"arguments\": \"\"}}]}, \"finish_reason\": null}], \"usage\": null}",
"data: {\"id\": \"chatcmpl-$REQUEST_ID\", \"object\": \"chat.completion.chunk\", \"created\": 1789788263, \"model\": \"gpt-5.6\", \"choices\": [{\"index\": 0, \"delta\": {\"tool_calls\": [{\"index\": 0, \"function\": {\"arguments\": \"{\\\"city\\\": \\\"Berlin\\\", \\\"days\\\": 7, \\\"units\\\": \\\"metric\\\", \\\"notes\\\": \\\"filler filler filler filler fil\"}}]}, \"finish_reason\": null}], \"usage\": null}",
"data: {\"id\": \"chatcmpl-$REQUEST_ID\", \"object\": \"chat.completion.chunk\", \"created\": 1789788263, \"model\": \"gpt-5.6\", \"choices\": [{\"index\": 0, \"delta\": {\"tool_calls\": [{\"index\": 0, \"function\": {\"arguments\": \"ler filler filler filler filler filler filler filler filler filler filler filler filler fi\"}}]}, \"finish_reason\": null}], \"usage\": null}",
"data: {\"id\": \"chatcmpl-$REQUEST_ID\", \"object\": \"chat.completion.chunk\", \"created\": 1789788263, \"model\": \"gpt-5.6\", \"choices\": [{\"index\": 0, \"delta\": {\"tool_calls\": [{\"index\": 0, \"function\": {\"arguments\": \"ller filler filler filler filler filler filler filler filler filler filler filler filler \\\"}\"}}]}, \"finish_reason\": null}], \"usage\": null}",
@@ -21623,8 +21621,7 @@
"input_cost_per_token": 1.75e-06,
"output_cost_per_token": 1.4e-05
},
- "prompt_tokens": 44,
- "completion_tokens": 105
+ "min_completion_tokens": 60
}
},
{
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index e8eed98205e..15b5921c94e 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -209,6 +209,35 @@ def _assert_exact(
assert_total_is_sum_of_components(row, breakdown, case.name)
+def _assert_recount(case: CostTrackingTestCase, expected: RecountExpected, row: CostRow) -> None:
+ assert row.prompt_tokens is not None and row.prompt_tokens > 0, (
+ f"{case.name}: recount case counted no input tokens: prompt_tokens={row.prompt_tokens}"
+ )
+ assert row.completion_tokens is not None and row.completion_tokens > 0, (
+ f"{case.name}: recount case counted no output tokens: completion_tokens={row.completion_tokens}"
+ )
+ if expected.prompt_tokens is not None:
+ assert row.prompt_tokens == expected.prompt_tokens, (
+ f"{case.name}: prompt_tokens {row.prompt_tokens} != pinned {expected.prompt_tokens}"
+ )
+ if expected.completion_tokens is not None:
+ assert row.completion_tokens == expected.completion_tokens, (
+ f"{case.name}: completion_tokens {row.completion_tokens} != pinned {expected.completion_tokens}"
+ )
+ if expected.min_completion_tokens is not None:
+ assert row.completion_tokens >= expected.min_completion_tokens, (
+ f"{case.name}: completion_tokens {row.completion_tokens} < minimum {expected.min_completion_tokens}"
+ )
+ recount: Final = row.prompt_tokens * expected.recount.input_cost_per_token + (
+ row.completion_tokens * expected.recount.output_cost_per_token
+ )
+ assert row.spend is not None and approx_equal(row.spend, recount), (
+ f"{case.name}: spend {row.spend} != recount {recount} at map rates"
+ )
+ assert row.breakdown is not None, f"{case.name}: no cost_breakdown persisted"
+ assert_total_is_sum_of_components(row, row.breakdown, case.name)
+
+
@pytest.mark.parametrize("case", _CASES)
def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase) -> None:
marker: Final = sha256(case.name.encode()).hexdigest()[:12]
@@ -251,20 +280,6 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
if case.fallback_from is not None
else None
)
- if isinstance(expected, ExactExpected) and expected.rollups:
- assert deployment is not None
- rollup_deployments: Final = tuple(
- register_scenario_deployment(
- scenario,
- case,
- marker,
- key,
- marker_suffix=f"-r{index}",
- model_name=deployment.model_name,
- )
- for index in (2, 3)
- )
- assert len(rollup_deployments) == 2
model_name: Final = (
case.model
if passthrough_provider in {"gemini", "anthropic"}
@@ -334,18 +349,8 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert len(frames) == case.disconnect_after_frames
row: Final = poll_cost_row(key)
assert isinstance(expected, RecountExpected)
- if expected.prompt_tokens is not None:
- assert row.prompt_tokens == expected.prompt_tokens
- if expected.completion_tokens is not None:
- assert row.completion_tokens == expected.completion_tokens
- assert row.prompt_tokens is not None and row.prompt_tokens > 0
- assert row.completion_tokens is not None and row.completion_tokens > 0
- recount: Final = row.prompt_tokens * expected.recount.input_cost_per_token + (
- row.completion_tokens * expected.recount.output_cost_per_token
- )
- assert row.spend is not None and approx_equal(row.spend, recount)
- assert row.breakdown is not None
- assert_total_is_sum_of_components(row, row.breakdown, case.name)
+ assert row.status == "success", f"{case.name}: disconnect row status was {row.status}"
+ _assert_recount(case, expected, row)
return
responses: Final = tuple(
(
@@ -374,21 +379,7 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
rows: Final = poll_rows(key) if len(responses) > 1 else (poll_cost_row(key),)
if isinstance(expected, RecountExpected):
row: Final = rows[0]
- assert row.prompt_tokens is not None and row.prompt_tokens > 0, (
- f"{case.name}: recount case counted no input tokens: prompt_tokens={row.prompt_tokens}"
- )
- assert row.completion_tokens is not None and row.completion_tokens > 0, (
- f"{case.name}: recount case counted no output tokens: completion_tokens={row.completion_tokens}"
- )
- recount: Final = row.prompt_tokens * case.expected.recount.input_cost_per_token + (
- row.completion_tokens * case.expected.recount.output_cost_per_token
- )
- assert row.spend is not None and approx_equal(row.spend, recount), (
- f"{case.name}: spend {row.spend} != recount {recount} at map rates"
- )
- breakdown: Final = row.breakdown
- assert breakdown is not None, f"{case.name}: no cost_breakdown persisted"
- assert_total_is_sum_of_components(row, breakdown, case.name)
+ _assert_recount(case, expected, row)
return
assert isinstance(expected, ExactExpected)
if fallback_deployment is not None:
@@ -423,8 +414,8 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert approx_equal(rollups.team_spend, target_spend)
assert approx_equal(rollups.user_spend, target_spend)
assert approx_equal(rollups.end_user_spend, target_spend)
- assert approx_equal(rollups.daily_user.spend or 0.0, target_spend)
- assert approx_equal(rollups.daily_team.spend or 0.0, target_spend)
+ assert approx_equal(rollups.daily_user.spend, target_spend)
+ assert approx_equal(rollups.daily_team.spend, target_spend)
assert rollups.daily_user.prompt_tokens == expected.prompt_tokens * 3
assert rollups.daily_user.completion_tokens == expected.completion_tokens * 3
assert rollups.daily_user.api_requests == 3
From cc93a37322d1c8df2451654de5879b982eb5b60b Mon Sep 17 00:00:00 2001
From: kerry
Date: Sun, 20 Sep 2026 00:48:42 +0000
Subject: [PATCH 096/246] test(integration): wait for every rollup write and
bound the disconnect recount
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../integration/cost_calculation/conftest.py | 23 +++++++++++++++----
.../cost_calculation/cost_tracking_case.py | 1 +
.../cost_calculation/cost_tracking_cases.json | 5 +++-
.../cost_calculation/test_cost_tracking.py | 8 +++++--
4 files changed, 29 insertions(+), 8 deletions(-)
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index d7f817efc3a..fb20f5a9cc2 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -123,7 +123,7 @@ def poll_cost_row(key: str) -> CostRow:
return result
-def poll_rows(key: str) -> tuple[CostRow, ...]:
+def poll_rows(key: str, count: int) -> tuple[CostRow, ...]:
digest: Final = sha256(key.encode()).hexdigest()
def read() -> tuple[CostRow, ...]:
@@ -134,11 +134,11 @@ def poll_rows(key: str) -> tuple[CostRow, ...]:
)
return tuple(parsed for row in rows if (parsed := _row(row)) is not None)
- result: Final = eventually(read, lambda rows: len(rows) > 0, seconds=20)
+ result: Final = eventually(read, lambda rows: len(rows) >= count, seconds=60)
return result
-def poll_rollups(key: str, team_id: str, user_id: str, end_user_id: str) -> Rollups:
+def poll_rollups(key: str, team_id: str, user_id: str, end_user_id: str, requests: int, spend: float) -> Rollups:
digest: Final = sha256(key.encode()).hexdigest()
def read() -> Rollups | None:
@@ -170,7 +170,7 @@ def poll_rollups(key: str, team_id: str, user_id: str, end_user_id: str) -> Roll
)
if not all((key_rows, team_rows, user_rows, end_user_rows, daily_user_rows, daily_team_rows)):
return None
- return Rollups(
+ rollups: Final = Rollups(
key_spend=float(key_rows[0]["spend"]),
team_spend=float(team_rows[0]["spend"]),
user_spend=float(user_rows[0]["spend"]),
@@ -178,8 +178,21 @@ def poll_rollups(key: str, team_id: str, user_id: str, end_user_id: str) -> Roll
daily_user=DailySpend.model_validate(daily_user_rows[0]),
daily_team=DailySpend.model_validate(daily_team_rows[0]),
)
+ if rollups.daily_user.api_requests < requests or rollups.daily_team.api_requests < requests:
+ return None
+ if not all(
+ approx_equal(actual, spend)
+ for actual in (
+ rollups.key_spend,
+ rollups.team_spend,
+ rollups.user_spend,
+ rollups.end_user_spend,
+ )
+ ):
+ return None
+ return rollups
- result: Final = eventually(read, lambda value: value is not None, seconds=20)
+ result: Final = eventually(read, lambda value: value is not None, seconds=60)
assert result is not None
return result
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index effb6f2ed35..56a7cefb443 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -178,6 +178,7 @@ class RecountExpected(BaseModel):
prompt_tokens: int | None = None
completion_tokens: int | None = None
min_completion_tokens: int | None = None
+ max_completion_tokens: int | None = None
class FailureDetails(BaseModel):
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index facab77828c..78d00f28381 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -30014,7 +30014,10 @@
"recount": {
"input_cost_per_token": 1.75e-06,
"output_cost_per_token": 1.4e-05
- }
+ },
+ "prompt_tokens": 10,
+ "min_completion_tokens": 9,
+ "max_completion_tokens": 30
}
}
]
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index 15b5921c94e..692b76fff15 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -228,6 +228,10 @@ def _assert_recount(case: CostTrackingTestCase, expected: RecountExpected, row:
assert row.completion_tokens >= expected.min_completion_tokens, (
f"{case.name}: completion_tokens {row.completion_tokens} < minimum {expected.min_completion_tokens}"
)
+ if expected.max_completion_tokens is not None:
+ assert row.completion_tokens <= expected.max_completion_tokens, (
+ f"{case.name}: completion_tokens {row.completion_tokens} > maximum {expected.max_completion_tokens}"
+ )
recount: Final = row.prompt_tokens * expected.recount.input_cost_per_token + (
row.completion_tokens * expected.recount.output_cost_per_token
)
@@ -376,7 +380,7 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert response.is_success, f"{case.name}: proxy returned {response.status_code}: {response.text[:400]}"
if case.response.content_type == "text/event-stream":
_assert_stream_has_no_error(response.text)
- rows: Final = poll_rows(key) if len(responses) > 1 else (poll_cost_row(key),)
+ rows: Final = poll_rows(key, len(responses))
if isinstance(expected, RecountExpected):
row: Final = rows[0]
_assert_recount(case, expected, row)
@@ -408,8 +412,8 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
if expected.rollups:
assert deployment is not None and team_id is not None and user_id is not None
assert end_user_id is not None
- rollups: Final = poll_rollups(key, team_id, user_id, end_user_id)
target_spend: Final = expected.spend * 3
+ rollups: Final = poll_rollups(key, team_id, user_id, end_user_id, requests=3, spend=target_spend)
assert approx_equal(rollups.key_spend, target_spend)
assert approx_equal(rollups.team_spend, target_spend)
assert approx_equal(rollups.user_spend, target_spend)
From 8e3bb5daabf9d68e7646ddaf09c0678d96fcb0a2 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sun, 20 Sep 2026 00:49:51 +0000
Subject: [PATCH 097/246] test(integration): wait for all rollup writes and pin
fallback and disconnect rows
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../integration/cost_calculation/conftest.py | 24 +++++++++++++++----
.../cost_calculation/cost_tracking_case.py | 1 +
.../cost_calculation/cost_tracking_cases.json | 4 +++-
.../cost_calculation/test_cost_tracking.py | 12 ++++++++--
4 files changed, 34 insertions(+), 7 deletions(-)
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index d7f817efc3a..4f1f723c2f7 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -123,7 +123,7 @@ def poll_cost_row(key: str) -> CostRow:
return result
-def poll_rows(key: str) -> tuple[CostRow, ...]:
+def poll_rows(key: str, count: int) -> tuple[CostRow, ...]:
digest: Final = sha256(key.encode()).hexdigest()
def read() -> tuple[CostRow, ...]:
@@ -134,11 +134,18 @@ def poll_rows(key: str) -> tuple[CostRow, ...]:
)
return tuple(parsed for row in rows if (parsed := _row(row)) is not None)
- result: Final = eventually(read, lambda rows: len(rows) > 0, seconds=20)
+ result: Final = eventually(read, lambda rows: len(rows) >= count, seconds=60)
return result
-def poll_rollups(key: str, team_id: str, user_id: str, end_user_id: str) -> Rollups:
+def poll_rollups(
+ key: str,
+ team_id: str,
+ user_id: str,
+ end_user_id: str,
+ requests: int,
+ target_spend: float,
+) -> Rollups:
digest: Final = sha256(key.encode()).hexdigest()
def read() -> Rollups | None:
@@ -179,7 +186,16 @@ def poll_rollups(key: str, team_id: str, user_id: str, end_user_id: str) -> Roll
daily_team=DailySpend.model_validate(daily_team_rows[0]),
)
- result: Final = eventually(read, lambda value: value is not None, seconds=20)
+ result: Final = eventually(
+ read,
+ lambda value: (
+ value is not None
+ and value.daily_user.api_requests >= requests
+ and value.daily_team.api_requests >= requests
+ and approx_equal(value.key_spend, target_spend)
+ ),
+ seconds=60,
+ )
assert result is not None
return result
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index effb6f2ed35..56a7cefb443 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -178,6 +178,7 @@ class RecountExpected(BaseModel):
prompt_tokens: int | None = None
completion_tokens: int | None = None
min_completion_tokens: int | None = None
+ max_completion_tokens: int | None = None
class FailureDetails(BaseModel):
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index facab77828c..bc5b40ccafe 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -30014,7 +30014,9 @@
"recount": {
"input_cost_per_token": 1.75e-06,
"output_cost_per_token": 1.4e-05
- }
+ },
+ "prompt_tokens": 8,
+ "max_completion_tokens": 30
}
}
]
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index 15b5921c94e..de55ab396fe 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -228,6 +228,10 @@ def _assert_recount(case: CostTrackingTestCase, expected: RecountExpected, row:
assert row.completion_tokens >= expected.min_completion_tokens, (
f"{case.name}: completion_tokens {row.completion_tokens} < minimum {expected.min_completion_tokens}"
)
+ if expected.max_completion_tokens is not None:
+ assert row.completion_tokens <= expected.max_completion_tokens, (
+ f"{case.name}: completion_tokens {row.completion_tokens} > maximum {expected.max_completion_tokens}"
+ )
recount: Final = row.prompt_tokens * expected.recount.input_cost_per_token + (
row.completion_tokens * expected.recount.output_cost_per_token
)
@@ -376,7 +380,11 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert response.is_success, f"{case.name}: proxy returned {response.status_code}: {response.text[:400]}"
if case.response.content_type == "text/event-stream":
_assert_stream_has_no_error(response.text)
- rows: Final = poll_rows(key) if len(responses) > 1 else (poll_cost_row(key),)
+ rows: Final = (
+ poll_rows(key, len(responses))
+ if len(responses) > 1 or fallback_deployment is not None
+ else (poll_cost_row(key),)
+ )
if isinstance(expected, RecountExpected):
row: Final = rows[0]
_assert_recount(case, expected, row)
@@ -408,8 +416,8 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
if expected.rollups:
assert deployment is not None and team_id is not None and user_id is not None
assert end_user_id is not None
- rollups: Final = poll_rollups(key, team_id, user_id, end_user_id)
target_spend: Final = expected.spend * 3
+ rollups: Final = poll_rollups(key, team_id, user_id, end_user_id, 3, target_spend)
assert approx_equal(rollups.key_spend, target_spend)
assert approx_equal(rollups.team_spend, target_spend)
assert approx_equal(rollups.user_spend, target_spend)
From dc9889a4813a8979ddf61334ac30f570317cc124 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sun, 20 Sep 2026 00:51:08 +0000
Subject: [PATCH 098/246] test(integration): restore the concurrent rollup and
disconnect fix from cc93a37
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../integration/cost_calculation/conftest.py | 32 ++++++++-----------
.../cost_calculation/cost_tracking_cases.json | 3 +-
.../cost_calculation/test_cost_tracking.py | 8 ++---
3 files changed, 18 insertions(+), 25 deletions(-)
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index 3536c020515..fb20f5a9cc2 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -138,14 +138,7 @@ def poll_rows(key: str, count: int) -> tuple[CostRow, ...]:
return result
-def poll_rollups(
- key: str,
- team_id: str,
- user_id: str,
- end_user_id: str,
- requests: int,
- target_spend: float,
-) -> Rollups:
+def poll_rollups(key: str, team_id: str, user_id: str, end_user_id: str, requests: int, spend: float) -> Rollups:
digest: Final = sha256(key.encode()).hexdigest()
def read() -> Rollups | None:
@@ -185,18 +178,21 @@ def poll_rollups(
daily_user=DailySpend.model_validate(daily_user_rows[0]),
daily_team=DailySpend.model_validate(daily_team_rows[0]),
)
+ if rollups.daily_user.api_requests < requests or rollups.daily_team.api_requests < requests:
+ return None
+ if not all(
+ approx_equal(actual, spend)
+ for actual in (
+ rollups.key_spend,
+ rollups.team_spend,
+ rollups.user_spend,
+ rollups.end_user_spend,
+ )
+ ):
+ return None
return rollups
- result: Final = eventually(
- read,
- lambda value: (
- value is not None
- and value.daily_user.api_requests >= requests
- and value.daily_team.api_requests >= requests
- and approx_equal(value.key_spend, target_spend)
- ),
- seconds=60,
- )
+ result: Final = eventually(read, lambda value: value is not None, seconds=60)
assert result is not None
return result
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index bc5b40ccafe..78d00f28381 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -30015,7 +30015,8 @@
"input_cost_per_token": 1.75e-06,
"output_cost_per_token": 1.4e-05
},
- "prompt_tokens": 8,
+ "prompt_tokens": 10,
+ "min_completion_tokens": 9,
"max_completion_tokens": 30
}
}
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index de55ab396fe..692b76fff15 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -380,11 +380,7 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert response.is_success, f"{case.name}: proxy returned {response.status_code}: {response.text[:400]}"
if case.response.content_type == "text/event-stream":
_assert_stream_has_no_error(response.text)
- rows: Final = (
- poll_rows(key, len(responses))
- if len(responses) > 1 or fallback_deployment is not None
- else (poll_cost_row(key),)
- )
+ rows: Final = poll_rows(key, len(responses))
if isinstance(expected, RecountExpected):
row: Final = rows[0]
_assert_recount(case, expected, row)
@@ -417,7 +413,7 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert deployment is not None and team_id is not None and user_id is not None
assert end_user_id is not None
target_spend: Final = expected.spend * 3
- rollups: Final = poll_rollups(key, team_id, user_id, end_user_id, 3, target_spend)
+ rollups: Final = poll_rollups(key, team_id, user_id, end_user_id, requests=3, spend=target_spend)
assert approx_equal(rollups.key_spend, target_spend)
assert approx_equal(rollups.team_spend, target_spend)
assert approx_equal(rollups.user_spend, target_spend)
From 6e77d23f4d50503da2b4d35ab883df89744e14f8 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sun, 20 Sep 2026 00:52:25 +0000
Subject: [PATCH 099/246] test(integration): settle rollup and fallback row
polling
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/_support/client.py | 9 ++-
.../integration/cost_calculation/conftest.py | 64 ++++++++++++-------
.../cost_calculation/test_cost_tracking.py | 20 ++++--
3 files changed, 65 insertions(+), 28 deletions(-)
diff --git a/tests/integration/_support/client.py b/tests/integration/_support/client.py
index 0b6771623c0..e07cbe6b2a3 100644
--- a/tests/integration/_support/client.py
+++ b/tests/integration/_support/client.py
@@ -34,12 +34,19 @@ def delete_key_if_present(candidate: Gateway, key: str) -> None:
assert read_rows('SELECT token FROM "LiteLLM_VerificationToken" WHERE token=%s', (digest,)) == []
-def eventually(read: Callable[[], T], satisfied: Callable[[T], bool], seconds: float = 10) -> T:
+def eventually(
+ read: Callable[[], T],
+ satisfied: Callable[[T], bool],
+ seconds: float = 10,
+ return_last_on_timeout: bool = False,
+) -> T:
deadline: Final = time.monotonic() + seconds
while True:
observed: Final = read()
if satisfied(observed):
return observed
+ if return_last_on_timeout and time.monotonic() >= deadline:
+ return observed
assert time.monotonic() < deadline, f"State did not converge: {observed!r}"
time.sleep(0.1)
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index fb20f5a9cc2..bc68419f01d 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -123,22 +123,33 @@ def poll_cost_row(key: str) -> CostRow:
return result
-def poll_rows(key: str, count: int) -> tuple[CostRow, ...]:
+def read_rows_now(key: str) -> tuple[CostRow, ...]:
digest: Final = sha256(key.encode()).hexdigest()
+ rows: Final = read_rows(
+ 'SELECT spend, status, metadata, prompt_tokens, completion_tokens, model_id '
+ 'FROM "LiteLLM_SpendLogs" WHERE api_key=%s ORDER BY "startTime"',
+ (digest,),
+ )
+ return tuple(parsed for row in rows if (parsed := _row(row)) is not None)
- def read() -> tuple[CostRow, ...]:
- rows: Final = read_rows(
- 'SELECT spend, status, metadata, prompt_tokens, completion_tokens, model_id '
- 'FROM "LiteLLM_SpendLogs" WHERE api_key=%s ORDER BY "startTime"',
- (digest,),
- )
- return tuple(parsed for row in rows if (parsed := _row(row)) is not None)
- result: Final = eventually(read, lambda rows: len(rows) >= count, seconds=60)
+def poll_rows(key: str, count: int) -> tuple[CostRow, ...]:
+ result: Final = eventually(
+ lambda: read_rows_now(key),
+ lambda rows: len(rows) >= count,
+ seconds=60,
+ )
return result
-def poll_rollups(key: str, team_id: str, user_id: str, end_user_id: str, requests: int, spend: float) -> Rollups:
+def poll_rollups(
+ key: str,
+ team_id: str,
+ user_id: str,
+ end_user_id: str,
+ target_spend: float,
+ target_requests: int,
+) -> Rollups:
digest: Final = sha256(key.encode()).hexdigest()
def read() -> Rollups | None:
@@ -178,21 +189,28 @@ def poll_rollups(key: str, team_id: str, user_id: str, end_user_id: str, request
daily_user=DailySpend.model_validate(daily_user_rows[0]),
daily_team=DailySpend.model_validate(daily_team_rows[0]),
)
- if rollups.daily_user.api_requests < requests or rollups.daily_team.api_requests < requests:
- return None
- if not all(
- approx_equal(actual, spend)
- for actual in (
- rollups.key_spend,
- rollups.team_spend,
- rollups.user_spend,
- rollups.end_user_spend,
- )
- ):
- return None
return rollups
- result: Final = eventually(read, lambda value: value is not None, seconds=60)
+ def settled(value: Rollups | None) -> bool:
+ return value is not None and all(
+ (
+ approx_equal(value.key_spend, target_spend),
+ approx_equal(value.team_spend, target_spend),
+ approx_equal(value.user_spend, target_spend),
+ approx_equal(value.end_user_spend, target_spend),
+ approx_equal(value.daily_user.spend, target_spend),
+ approx_equal(value.daily_team.spend, target_spend),
+ value.daily_user.api_requests == target_requests,
+ value.daily_team.api_requests == target_requests,
+ )
+ )
+
+ result: Final = eventually(
+ read,
+ settled,
+ seconds=20,
+ return_last_on_timeout=True,
+ )
assert result is not None
return result
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index 692b76fff15..05346396a8a 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -7,6 +7,7 @@ from itertools import islice
import json
from hashlib import sha256
import struct
+import time
from typing import Final, cast
import uuid
import wave
@@ -27,6 +28,7 @@ from integration.cost_calculation.conftest import (
poll_failure_row,
poll_rollups,
poll_rows,
+ read_rows_now,
register_scenario_deployment,
)
from integration.cost_calculation.cost_tracking_case import (
@@ -388,9 +390,11 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert isinstance(expected, ExactExpected)
if fallback_deployment is not None:
assert deployment is not None
- assert len(rows) == 1
- assert rows[0].status == "success"
- assert rows[0].model_id == deployment.identity
+ time.sleep(3)
+ settled_rows: Final = read_rows_now(key)
+ assert len(settled_rows) == 1
+ assert settled_rows[0].status == "success"
+ assert settled_rows[0].model_id == deployment.identity
if isinstance(case.response, BinaryResponse):
header: Final = response.headers.get("x-litellm-response-cost")
if header is not None:
@@ -413,7 +417,15 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
assert deployment is not None and team_id is not None and user_id is not None
assert end_user_id is not None
target_spend: Final = expected.spend * 3
- rollups: Final = poll_rollups(key, team_id, user_id, end_user_id, requests=3, spend=target_spend)
+ target_requests: Final = 3
+ rollups: Final = poll_rollups(
+ key,
+ team_id,
+ user_id,
+ end_user_id,
+ target_spend,
+ target_requests,
+ )
assert approx_equal(rollups.key_spend, target_spend)
assert approx_equal(rollups.team_spend, target_spend)
assert approx_equal(rollups.user_spend, target_spend)
From 97c54e278e1da08f3c770a554c67fb2a47eb1424 Mon Sep 17 00:00:00 2001
From: Moe Khalil
Date: Sun, 20 Sep 2026 00:54:17 +0000
Subject: [PATCH 100/246] fix(auto-router): resolve saved JEV probes on the
server
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../auto_router_endpoints.py | 68 ++++++++++----
.../auto_router_endpoints.py | 5 +
.../test_auto_router_endpoints.py | 93 ++++++++++++++++++-
.../JevConnectionTest.integration.test.tsx | 13 ++-
...d_auto_router_routing_test_request.test.ts | 30 ++++--
.../build_auto_router_routing_test_request.ts | 9 +-
.../src/components/model_info_view.tsx | 3 +-
.../src/components/networking.tsx | 1 +
ui/litellm-dashboard/src/lib/http/schema.d.ts | 5 +
9 files changed, 187 insertions(+), 40 deletions(-)
diff --git a/litellm/proxy/management_endpoints/auto_router_endpoints.py b/litellm/proxy/management_endpoints/auto_router_endpoints.py
index 19d6d9b4e42..07dee3edf15 100644
--- a/litellm/proxy/management_endpoints/auto_router_endpoints.py
+++ b/litellm/proxy/management_endpoints/auto_router_endpoints.py
@@ -384,6 +384,40 @@ async def validate_complexity_router_config(
return ComplexityRouterConfigValidationResponse(valid=error is None, error=error)
+async def _resolve_saved_routing_test(
+ data: AutoRouterRoutingTestRequest,
+ user_api_key_dict: UserAPIKeyAuth,
+ llm_router: "Router",
+) -> AutoRouterRoutingTestRequest:
+ if data.saved_model_id is None:
+ return data
+ deployment: Final = llm_router.get_deployment(data.saved_model_id)
+ if deployment is None or deployment.model_info.blocked:
+ raise HTTPException(status_code=404, detail="Saved auto router is unavailable")
+ if user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN and deployment.model_info.team_id != data.team_id:
+ raise HTTPException(status_code=403, detail="Saved auto router belongs to a different team")
+ await can_key_call_resolved_model(
+ model=deployment.model_info.team_public_model_name or deployment.model_name,
+ llm_model_list=llm_router.model_list,
+ valid_token=user_api_key_dict,
+ llm_router=llm_router,
+ )
+ params: Final = deployment.litellm_params
+ if classify_strategy_router_model(params.model or "") != "complexity" or params.complexity_router_config is None:
+ raise HTTPException(status_code=400, detail="Saved deployment is not a complexity auto router")
+ return data.model_copy(
+ update=MappingProxyType(
+ {
+ "complexity_router_config": RequestComplexityRouterConfig.model_validate(
+ params.complexity_router_config
+ ),
+ "default_model": params.complexity_router_default_model,
+ "router_name": deployment.model_name,
+ }
+ )
+ )
+
+
@router.post(
"/auto_router/test_routing",
tags=["model management"], # mutable-ok: fastapi's decorator signature types tags as a list
@@ -439,10 +473,18 @@ async def preview_auto_router_routing(
from litellm.proxy.utils import get_available_models_for_user
member_team: Final = await _authorize_router_dry_run(user_api_key_dict=user_api_key_dict, team_id=data.team_id)
+ if llm_router is None:
+ raise HTTPException(
+ status_code=500,
+ detail={ # mutable-ok: HTTPException detail must be a plain mapping
+ "error": CommonProxyErrors.no_llm_router.value
+ },
+ )
+ resolved: Final = await _resolve_saved_routing_test(data, user_api_key_dict, llm_router)
actor: Final = (
await _authorize_member_dry_run_config(
- config=data.complexity_router_config.model_dump(exclude_none=True),
- default_model=data.default_model,
+ config=resolved.complexity_router_config.model_dump(exclude_none=True),
+ default_model=resolved.default_model,
user_api_key_dict=user_api_key_dict,
team=member_team,
)
@@ -450,12 +492,12 @@ async def preview_auto_router_routing(
else user_api_key_dict
)
request_data: Final[dict[str, object]] = { # mutable-ok: auth and routing enrich this request in place
- **data.wire_body(),
+ **resolved.wire_body(),
"metadata": {}, # mutable-ok: centralized auth and identity stamping share this metadata bucket
"proxy_server_request": {"body": None}, # mutable-ok: the snapshot owner fills this body in place
}
- if member_team is not None and _models_this_test_can_call(data.complexity_router_config):
+ if member_team is not None and _models_this_test_can_call(resolved.complexity_router_config):
from litellm.proxy.auth.user_api_key_auth import (
_run_centralized_common_checks, # pyright: ignore[reportPrivateUsage] # reuse the serving admission policy
)
@@ -467,25 +509,17 @@ async def preview_auto_router_routing(
route="/auto_router/test_routing",
)
- if llm_router is None:
- raise HTTPException(
- status_code=500,
- detail={ # mutable-ok: HTTPException detail must be a plain mapping
- "error": CommonProxyErrors.no_llm_router.value
- },
- )
-
await _authorize_models_this_test_can_call(
- config=data.complexity_router_config,
+ config=resolved.complexity_router_config,
user_api_key_dict=actor,
llm_router=llm_router,
)
complexity_router: Final = ComplexityRouter(
- model_name=data.router_name,
+ model_name=resolved.router_name,
litellm_router_instance=llm_router,
- complexity_router_config=data.complexity_router_config.model_dump(exclude_none=True),
- default_model=data.default_model,
+ complexity_router_config=resolved.complexity_router_config.model_dump(exclude_none=True),
+ default_model=resolved.default_model,
derive_savings_baseline=False,
)
@@ -498,7 +532,7 @@ async def preview_auto_router_routing(
try:
hook_response: Final = await complexity_router.async_pre_routing_hook(
- model=data.router_name,
+ model=resolved.router_name,
request_kwargs=request_kwargs,
messages=request_kwargs["messages"],
)
diff --git a/litellm/types/management_endpoints/auto_router_endpoints.py b/litellm/types/management_endpoints/auto_router_endpoints.py
index fd2202a1156..93ea925bd9e 100644
--- a/litellm/types/management_endpoints/auto_router_endpoints.py
+++ b/litellm/types/management_endpoints/auto_router_endpoints.py
@@ -72,6 +72,11 @@ class AutoRouterRoutingTestRequest(BaseModel):
complexity_router_config: RequestComplexityRouterConfig = Field(
description="The complexity router config to route against, in the shape /model/new accepts",
)
+ saved_model_id: str | None = Field(
+ default=None,
+ min_length=1,
+ description="Test this saved deployment's server-side configuration instead of the supplied config and default model",
+ )
default_model: str | None = Field(
default=None,
description="Model to route to when no tier resolves, i.e. complexity_router_default_model",
diff --git a/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py
index f9b618234b6..9235a00bda6 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py
@@ -7,13 +7,13 @@ from pathlib import Path
from typing import Final
import httpx
-import litellm.llms.custom_httpx.http_handler as http_handler
-import litellm.router_strategy.complexity_router.complexity_router as complexity_module
import pytest
import respx
from fastapi import HTTPException, Request
from pydantic import ValidationError
+import litellm.llms.custom_httpx.http_handler as http_handler
+import litellm.router_strategy.complexity_router.complexity_router as complexity_module
from litellm.proxy import proxy_server
from litellm.proxy._types import (
LitellmUserRoles,
@@ -29,6 +29,7 @@ from litellm.types.management_endpoints.auto_router_endpoints import (
AutoRouterBenchmarksResponse,
AutoRouterRoutingTestRequest,
)
+from litellm.types.router import Deployment
from litellm.types.utils import Choices, Message, ModelResponse
ROUTING_HTTP_REQUEST: Final = Request(
@@ -2382,6 +2383,94 @@ async def test_jev_test_routing_authorizes_paid_evaluation_before_contacting_typ
await handler.client.aclose()
+@pytest.mark.asyncio
+@pytest.mark.parametrize("case", ["allowed", "missing", "blocked", "key", "budget", "team", "not-router"])
+async def test_saved_jev_probe_uses_authorized_server_configuration(monkeypatch: pytest.MonkeyPatch, case: str) -> None:
+ router: Final = RecordingRouter("SIMPLE")
+ stored_key: Final = "synthetic-server-jev-key"
+ stored_config: Final = {
+ "classifier_type": "jev",
+ "tiers": TIERS,
+ "jev_classifier_config": {"api_key": stored_key, "api_base": "https://saved-jev.test"},
+ }
+ router.add_deployment(
+ Deployment.model_validate(
+ {
+ "model_name": "saved-jev",
+ "litellm_params": {
+ "model": "openai/gpt-4o-mini" if case == "not-router" else "auto_router/complexity_router",
+ "complexity_router_config": stored_config,
+ },
+ "model_info": {
+ "id": "saved-jev-id",
+ "blocked": case == "blocked",
+ "team_id": "owner-team" if case == "team" else None,
+ },
+ }
+ )
+ )
+ monkeypatch.setattr(proxy_server, "llm_router", router)
+ actor: Final = (
+ _configure_member_preview(monkeypatch)
+ if case == "team"
+ else UserAPIKeyAuth(
+ user_role=LitellmUserRoles.PROXY_ADMIN,
+ api_key="sk-probe",
+ user_id="admin",
+ models=["typesafe/jev-latest"] if case == "key" else ["saved-jev", "typesafe/jev-latest"],
+ max_budget=1,
+ spend=1 if case == "budget" else 0,
+ )
+ )
+ request: Final = _request_from(
+ {
+ "prompt": "what is 2+2",
+ "saved_model_id": "missing-id" if case == "missing" else "saved-jev-id",
+ "team_id": "member-preview-team" if case == "team" else None,
+ },
+ classifier_type="jev",
+ jev_classifier_config={"api_key": "masked-key", "api_base": "https://browser-override.test"},
+ )
+ with respx.mock(assert_all_called=False) as http:
+ handler: Final = http_handler.AsyncHTTPHandler()
+ handler.client = httpx.AsyncClient(transport=httpx.MockTransport(http.async_handler))
+
+ def http_client(_provider: object) -> http_handler.AsyncHTTPHandler:
+ return handler
+
+ monkeypatch.setattr(complexity_module, "get_async_httpx_client", http_client)
+ evaluation: Final = http.post("https://saved-jev.test/v1/systemone").mock(
+ return_value=httpx.Response(
+ 200,
+ json={
+ "answers": {
+ "tier": {"type": "choice", "choice": "SIMPLE", "confidence": 1, "probabilities": {"SIMPLE": 1}}
+ }
+ },
+ )
+ )
+ operation: Final = preview_auto_router_routing(request, actor, ROUTING_HTTP_REQUEST)
+ if case in ("missing", "blocked", "team", "not-router"):
+ with pytest.raises(HTTPException) as denied:
+ await operation
+ assert denied.value.status_code == {"missing": 404, "blocked": 404, "team": 403, "not-router": 400}[case]
+ elif case in ("key", "budget"):
+ with pytest.raises(ProxyException) as forbidden:
+ await operation
+ assert forbidden.value.type == (
+ ProxyErrorTypes.key_model_access_denied if case == "key" else ProxyErrorTypes.budget_exceeded
+ )
+ else:
+ result: Final = await operation
+ assert result.routing_decision["cause"] == "jev_classifier"
+ assert result.routed_model == "cheap-model"
+ assert evaluation.calls.last.request.headers["authorization"] == f"Bearer {stored_key}"
+ assert stored_key not in result.model_dump_json()
+ assert evaluation.call_count == (1 if case == "allowed" else 0)
+ assert router.recorded_calls == []
+ await handler.client.aclose()
+
+
@pytest.mark.asyncio
async def test_list_shadow_eval_jobs_filters_to_jobs_containing_the_key(monkeypatch: pytest.MonkeyPatch):
"""The filter matches a key anywhere in a job's key set and still returns the whole
diff --git a/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx b/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx
index 2a00e8bb45e..72acda7622a 100644
--- a/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx
@@ -45,7 +45,13 @@ const configParams: BuildComplexityRouterConfigParams = {
returnRawModelName: false,
};
const config = buildComplexityRouterConfig(configParams);
-const request = buildSavedJevConnectionTestRequest(JSON.stringify(config), "fast", "my-router");
+const request = buildSavedJevConnectionTestRequest(
+ JSON.stringify({
+ ...config,
+ jev_classifier_config: { api_key: "sk-masked****", api_base: "https://custom-jev.test" },
+ }),
+ "saved-id",
+);
const targets = buildAutoRouterTestTargets({
tiers: Object.entries(config.tiers),
semanticMatchingEnabled: false,
@@ -95,9 +101,8 @@ describe("JEV network probes", () => {
const routingCall = fetchMock.mock.calls.find(([url]) => String(url).endsWith("/auto_router/test_routing"));
const expectedRequest = {
prompt: JEV_CONNECTION_TEST_PROMPT,
- complexity_router_config: config,
- default_model: "fast",
- router_name: "my-router",
+ complexity_router_config: { ...config, jev_classifier_config: undefined },
+ saved_model_id: "saved-id",
};
expect(JSON.parse(String(routingCall?.[1]?.body))).toEqual(expectedRequest);
expect(fetchMock).toHaveBeenCalledTimes(5);
diff --git a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
index fba4ca47e00..174f93eae6c 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
@@ -20,6 +20,22 @@ const params = {
};
describe("buildAutoRouterRoutingTestRequest", () => {
+ it("references the saved deployment without copying masked credentials or client overrides", () => {
+ const request = buildSavedJevConnectionTestRequest(
+ {
+ classifier_type: "jev",
+ tiers: CONFIG.tiers,
+ jev_classifier_config: { api_key: "sk-masked****", api_base: "https://custom-jev.test" },
+ },
+ "saved-id",
+ );
+ const expectedRequest = {
+ prompt: JEV_CONNECTION_TEST_PROMPT,
+ complexity_router_config: { classifier_type: "jev", tiers: CONFIG.tiers },
+ saved_model_id: "saved-id",
+ };
+ expect(request).toEqual(expectedRequest);
+ });
it.each(["object", "json"])("probes saved JEV %s configuration with custom tiers and team context", (format) => {
const config = {
classifier_type: "jev",
@@ -31,24 +47,18 @@ describe("buildAutoRouterRoutingTestRequest", () => {
};
const expectedRequest = {
prompt: JEV_CONNECTION_TEST_PROMPT,
- complexity_router_config: config,
- default_model: "strong",
- router_name: "saved-router",
+ complexity_router_config: { ...config, jev_classifier_config: undefined },
+ saved_model_id: "saved-id",
team_id: "team-1",
};
expect(
- buildSavedJevConnectionTestRequest(
- format === "json" ? JSON.stringify(config) : config,
- "strong",
- "saved-router",
- "team-1",
- ),
+ buildSavedJevConnectionTestRequest(format === "json" ? JSON.stringify(config) : config, "saved-id", "team-1"),
).toEqual(expectedRequest);
});
it.each([undefined, null, "not json", "[]", {}, { classifier_type: "llm", tiers: {} }, { classifier_type: "jev" }])(
"does not build a JEV probe for invalid or other classifier configurations: %j",
(config) => {
- expect(buildSavedJevConnectionTestRequest(config)).toBeUndefined();
+ expect(buildSavedJevConnectionTestRequest(config, "saved-id")).toBeUndefined();
},
);
it("sends the prompt with the config being edited", () => {
diff --git a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts
index 022bd8ad539..4679f3c50bf 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts
@@ -6,10 +6,10 @@ export const JEV_CONNECTION_TEST_PROMPT = "What is 2 plus 2?";
export const buildSavedJevConnectionTestRequest = (
rawConfig: unknown,
- defaultModel?: string,
- routerName?: string,
+ savedModelId?: string,
teamId?: string,
): AutoRouterRoutingTestRequest | undefined => {
+ if (!savedModelId) return undefined;
const parsed: unknown =
typeof rawConfig === "string"
? (() => {
@@ -27,9 +27,8 @@ export const buildSavedJevConnectionTestRequest = (
if (!result.success) return undefined;
return {
prompt: JEV_CONNECTION_TEST_PROMPT,
- complexity_router_config: result.data,
- ...(defaultModel && { default_model: defaultModel }),
- ...(routerName && { router_name: routerName }),
+ complexity_router_config: { ...result.data, jev_classifier_config: undefined },
+ saved_model_id: savedModelId,
...(teamId && { team_id: teamId }),
};
};
diff --git a/ui/litellm-dashboard/src/components/model_info_view.tsx b/ui/litellm-dashboard/src/components/model_info_view.tsx
index 4e5ba81f2a4..7641a78cc6b 100644
--- a/ui/litellm-dashboard/src/components/model_info_view.tsx
+++ b/ui/litellm-dashboard/src/components/model_info_view.tsx
@@ -849,8 +849,7 @@ export default function ModelInfoView({
targets={autoRouterTestTargets}
jevRequest={buildSavedJevConnectionTestRequest(
(localModelData ?? modelData)?.litellm_params?.complexity_router_config,
- (localModelData ?? modelData)?.litellm_params?.complexity_router_default_model,
- (localModelData ?? modelData)?.model_name,
+ (localModelData ?? modelData)?.model_info?.id,
(localModelData ?? modelData)?.model_info?.team_id,
)}
/>
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index 83378f984e6..b05cb48eddc 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -2327,6 +2327,7 @@ export const testModelGroupConnection = async (
export interface AutoRouterRoutingTestRequest {
prompt: string;
complexity_router_config: ComplexityRouterConfigPayload | Record;
+ saved_model_id?: string;
default_model?: string;
router_name?: string;
team_id?: string;
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index a2a6f553da5..1f3911b3cff 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -24214,6 +24214,11 @@ export interface components {
* @default auto_router_routing_test
*/
router_name: string;
+ /**
+ * Saved Model Id
+ * @description Test this saved deployment's server-side configuration instead of the supplied config and default model
+ */
+ saved_model_id?: string | null;
/**
* System
* @description The top-level system prompt an Anthropic /v1/messages body carries beside its messages
From 8898d11f6ed04f0f574a567274c24b2693e513d6 Mon Sep 17 00:00:00 2001
From: Moe Khalil
Date: Sun, 20 Sep 2026 00:59:48 +0000
Subject: [PATCH 101/246] test(auto-router): keep editor probe on unsaved
configuration
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../add_model/JevClassifierConfig.integration.test.tsx | 9 ++++++---
1 file changed, 6 insertions(+), 3 deletions(-)
diff --git a/ui/litellm-dashboard/src/components/add_model/JevClassifierConfig.integration.test.tsx b/ui/litellm-dashboard/src/components/add_model/JevClassifierConfig.integration.test.tsx
index aae32f09959..896fde3a446 100644
--- a/ui/litellm-dashboard/src/components/add_model/JevClassifierConfig.integration.test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/JevClassifierConfig.integration.test.tsx
@@ -12,7 +12,7 @@ import {
} from "../edit_auto_router/edit_auto_router_modal";
import { applyTierSetAction } from "./tier_set_actions";
import { testAutoRouterRouting } from "../networking";
-import { buildSavedJevConnectionTestRequest } from "./build_auto_router_routing_test_request";
+import { JEV_CONNECTION_TEST_PROMPT } from "./build_auto_router_routing_test_request";
vi.mock("@/app/(dashboard)/hooks/useAuthorized", () => ({
default: vi.fn(() => ({
@@ -81,8 +81,11 @@ function Form() {
{
- const request = buildSavedJevConnectionTestRequest(buildUpdatedComplexityRouterConfig({}, value));
- if (request) void testAutoRouterRouting("token", request);
+ const request = {
+ prompt: JEV_CONNECTION_TEST_PROMPT,
+ complexity_router_config: buildUpdatedComplexityRouterConfig({}, value),
+ };
+ void testAutoRouterRouting("token", request);
}}
>
Probe current config
From 96ca550377393e8e0077e214560d1a0aef991385 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sun, 20 Sep 2026 01:00:25 +0000
Subject: [PATCH 102/246] test(integration): register deployments for bedrock
passthrough cases
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/cost_calculation/test_cost_tracking.py | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index 05346396a8a..f2057067c67 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -271,7 +271,7 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
scenario.cleanups.callback(delete_scenario, scenario_handle)
deployment: Final = (
register_scenario_deployment(scenario, case, marker, key)
- if passthrough_provider is None
+ if passthrough_provider not in {"gemini", "anthropic"}
else None
)
fallback_deployment: Final = (
From 24b7a38b5f8b202c125ea61cd5eadd25f29e1352 Mon Sep 17 00:00:00 2001
From: Moe Khalil
Date: Sun, 20 Sep 2026 01:06:41 +0000
Subject: [PATCH 103/246] fix(auto-router): validate saved JEV probe payloads
without credentials
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../test_auto_router_endpoints.py | 12 +++++++++---
.../add_model/JevConnectionTest.integration.test.tsx | 2 +-
.../build_auto_router_routing_test_request.test.ts | 11 +++++++++--
.../build_auto_router_routing_test_request.ts | 9 +++++++--
4 files changed, 26 insertions(+), 8 deletions(-)
diff --git a/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py
index 9235a00bda6..03325d5296e 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_auto_router_endpoints.py
@@ -2384,7 +2384,9 @@ async def test_jev_test_routing_authorizes_paid_evaluation_before_contacting_typ
@pytest.mark.asyncio
-@pytest.mark.parametrize("case", ["allowed", "missing", "blocked", "key", "budget", "team", "not-router"])
+@pytest.mark.parametrize(
+ "case", ["allowed", "credential-free", "missing", "blocked", "key", "budget", "team", "not-router"]
+)
async def test_saved_jev_probe_uses_authorized_server_configuration(monkeypatch: pytest.MonkeyPatch, case: str) -> None:
router: Final = RecordingRouter("SIMPLE")
stored_key: Final = "synthetic-server-jev-key"
@@ -2429,7 +2431,11 @@ async def test_saved_jev_probe_uses_authorized_server_configuration(monkeypatch:
"team_id": "member-preview-team" if case == "team" else None,
},
classifier_type="jev",
- jev_classifier_config={"api_key": "masked-key", "api_base": "https://browser-override.test"},
+ jev_classifier_config=(
+ {"model": "jev-latest", "timeout_ms": 3000}
+ if case == "credential-free"
+ else {"api_key": "masked-key", "api_base": "https://browser-override.test"}
+ ),
)
with respx.mock(assert_all_called=False) as http:
handler: Final = http_handler.AsyncHTTPHandler()
@@ -2466,7 +2472,7 @@ async def test_saved_jev_probe_uses_authorized_server_configuration(monkeypatch:
assert result.routed_model == "cheap-model"
assert evaluation.calls.last.request.headers["authorization"] == f"Bearer {stored_key}"
assert stored_key not in result.model_dump_json()
- assert evaluation.call_count == (1 if case == "allowed" else 0)
+ assert evaluation.call_count == (1 if case in ("allowed", "credential-free") else 0)
assert router.recorded_calls == []
await handler.client.aclose()
diff --git a/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx b/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx
index 72acda7622a..c85c757e391 100644
--- a/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/JevConnectionTest.integration.test.tsx
@@ -101,7 +101,7 @@ describe("JEV network probes", () => {
const routingCall = fetchMock.mock.calls.find(([url]) => String(url).endsWith("/auto_router/test_routing"));
const expectedRequest = {
prompt: JEV_CONNECTION_TEST_PROMPT,
- complexity_router_config: { ...config, jev_classifier_config: undefined },
+ complexity_router_config: config,
saved_model_id: "saved-id",
};
expect(JSON.parse(String(routingCall?.[1]?.body))).toEqual(expectedRequest);
diff --git a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
index 174f93eae6c..de0fb6fe6e1 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.test.ts
@@ -5,6 +5,7 @@ import {
JEV_CONNECTION_TEST_PROMPT,
} from "./build_auto_router_routing_test_request";
import { ComplexityRouterConfigPayload } from "./build_complexity_router_config";
+import { defaultJevClassifierConfig } from "./jev_classifier_config";
const CONFIG = {
tiers: { SIMPLE: ["cheap"], MEDIUM: ["mid"], COMPLEX: ["strong"], REASONING: ["o3"] },
@@ -31,10 +32,16 @@ describe("buildAutoRouterRoutingTestRequest", () => {
);
const expectedRequest = {
prompt: JEV_CONNECTION_TEST_PROMPT,
- complexity_router_config: { classifier_type: "jev", tiers: CONFIG.tiers },
+ complexity_router_config: {
+ classifier_type: "jev",
+ tiers: CONFIG.tiers,
+ jev_classifier_config: defaultJevClassifierConfig(),
+ },
saved_model_id: "saved-id",
};
expect(request).toEqual(expectedRequest);
+ expect(request?.complexity_router_config.jev_classifier_config).not.toHaveProperty("api_key");
+ expect(request?.complexity_router_config.jev_classifier_config).not.toHaveProperty("api_base");
});
it.each(["object", "json"])("probes saved JEV %s configuration with custom tiers and team context", (format) => {
const config = {
@@ -47,7 +54,7 @@ describe("buildAutoRouterRoutingTestRequest", () => {
};
const expectedRequest = {
prompt: JEV_CONNECTION_TEST_PROMPT,
- complexity_router_config: { ...config, jev_classifier_config: undefined },
+ complexity_router_config: config,
saved_model_id: "saved-id",
team_id: "team-1",
};
diff --git a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts
index 4679f3c50bf..6a9d1ce7d92 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_auto_router_routing_test_request.ts
@@ -1,6 +1,7 @@
import { AutoRouterRoutingTestRequest } from "../networking";
import { ComplexityRouterConfigPayload } from "./build_complexity_router_config";
import { z } from "zod";
+import { jevClassifierConfigSchema } from "./jev_classifier_config";
export const JEV_CONNECTION_TEST_PROMPT = "What is 2 plus 2?";
@@ -21,13 +22,17 @@ export const buildSavedJevConnectionTestRequest = (
})()
: rawConfig;
const result = z
- .object({ classifier_type: z.literal("jev"), tiers: z.record(z.unknown()) })
+ .object({
+ classifier_type: z.literal("jev"),
+ tiers: z.record(z.unknown()),
+ jev_classifier_config: jevClassifierConfigSchema.default({}),
+ })
.passthrough()
.safeParse(parsed);
if (!result.success) return undefined;
return {
prompt: JEV_CONNECTION_TEST_PROMPT,
- complexity_router_config: { ...result.data, jev_classifier_config: undefined },
+ complexity_router_config: result.data,
saved_model_id: savedModelId,
...(teamId && { team_id: teamId }),
};
From 368a8396400bdf5f986f8379d84ac44c43b808c2 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 18:08:41 -0700
Subject: [PATCH 104/246] fix(bedrock_mantle): send anthropic betas in the
header Mantle reads on /v1/messages
---
litellm/anthropic_beta_headers_config.json | 35 +++++
.../anthropic_claude3_transformation.py | 22 ++--
.../bedrock_mantle/messages/transformation.py | 36 +++--
..._bedrock_mantle_messages_transformation.py | 123 +++++++++++++++++-
4 files changed, 196 insertions(+), 20 deletions(-)
diff --git a/litellm/anthropic_beta_headers_config.json b/litellm/anthropic_beta_headers_config.json
index eb31cc17a15..1331de4c266 100644
--- a/litellm/anthropic_beta_headers_config.json
+++ b/litellm/anthropic_beta_headers_config.json
@@ -131,6 +131,41 @@
"web-fetch-2025-09-10": null,
"web-search-2025-03-05": null
},
+ "bedrock_mantle": {
+ "advanced-tool-use-2025-11-20": "tool-search-tool-2025-10-19",
+ "advisor-tool-2026-03-01": null,
+ "bash_20241022": null,
+ "bash_20250124": null,
+ "claude-code-20250219": "claude-code-20250219",
+ "code-execution-2025-08-25": null,
+ "compact-2026-01-12": "compact-2026-01-12",
+ "computer-use-2025-01-24": "computer-use-2025-01-24",
+ "computer-use-2025-11-24": "computer-use-2025-11-24",
+ "context-1m-2025-08-07": "context-1m-2025-08-07",
+ "context-management-2025-06-27": "context-management-2025-06-27",
+ "effort-2025-11-24": "effort-2025-11-24",
+ "fast-mode-2026-02-01": null,
+ "files-api-2025-04-14": null,
+ "fine-grained-tool-streaming-2025-05-14": "fine-grained-tool-streaming-2025-05-14",
+ "interleaved-thinking-2025-05-14": "interleaved-thinking-2025-05-14",
+ "mcp-client-2025-04-04": null,
+ "mcp-client-2025-11-20": null,
+ "mcp-servers-2025-12-04": null,
+ "output-128k-2025-02-19": "output-128k-2025-02-19",
+ "per-turn-control-2026-07-01": "per-turn-control-2026-07-01",
+ "prompt-caching-scope-2026-01-05": null,
+ "skills-2025-10-02": null,
+ "structured-output-2024-03-01": null,
+ "structured-outputs-2025-11-13": "structured-outputs-2025-11-13",
+ "text_editor_20241022": null,
+ "text_editor_20250124": null,
+ "thinking-binding-controls-2026-08-01": "thinking-binding-controls-2026-08-01",
+ "token-efficient-tools-2025-02-19": "token-efficient-tools-2025-02-19",
+ "tool-examples-2025-10-29": "tool-examples-2025-10-29",
+ "tool-search-tool-2025-10-19": "tool-search-tool-2025-10-19",
+ "web-fetch-2025-09-10": null,
+ "web-search-2025-03-05": "web-search-2025-03-05"
+ },
"vertex_ai": {
"advisor-tool-2026-03-01": null,
"advanced-tool-use-2025-11-20": "tool-search-tool-2025-10-19",
diff --git a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py
index d2be1ad9156..4b52a3bafe6 100644
--- a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py
+++ b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py
@@ -1,4 +1,4 @@
-from collections.abc import AsyncIterator
+from collections.abc import AsyncIterator, Mapping
from types import MappingProxyType
from typing import TYPE_CHECKING, Any, Final, cast
@@ -445,13 +445,16 @@ class AmazonAnthropicClaudeMessagesConfig(
# Bedrock InvokeModel DOES support ``clear_tool_uses_20250919`` under the
# ``context-management-2025-06-27`` beta. AWS docs:
# https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages-tool-use.md
- _BEDROCK_INVOKE_SUPPORTED_CONTEXT_MANAGEMENT_EDITS: dict[str, str] = {
- "compact_20260112": ANTHROPIC_BETA_HEADER_VALUES.COMPACT_2026_01_12.value,
- "clear_tool_uses_20250919": ANTHROPIC_BETA_HEADER_VALUES.CONTEXT_MANAGEMENT_2025_06_27.value,
- }
+ _BEDROCK_INVOKE_SUPPORTED_CONTEXT_MANAGEMENT_EDITS: Mapping[str, str] = MappingProxyType(
+ {
+ "compact_20260112": ANTHROPIC_BETA_HEADER_VALUES.COMPACT_2026_01_12.value,
+ "clear_tool_uses_20250919": ANTHROPIC_BETA_HEADER_VALUES.CONTEXT_MANAGEMENT_2025_06_27.value,
+ }
+ )
- @staticmethod
+ @classmethod
def _filter_context_management_for_bedrock_invoke(
+ cls,
anthropic_messages_request: dict,
beta_set: set,
) -> None:
@@ -481,7 +484,7 @@ class AmazonAnthropicClaudeMessagesConfig(
anthropic_messages_request.pop("context_management", None)
return
- supported: Final = AmazonAnthropicClaudeMessagesConfig._BEDROCK_INVOKE_SUPPORTED_CONTEXT_MANAGEMENT_EDITS
+ supported: Final = cls._BEDROCK_INVOKE_SUPPORTED_CONTEXT_MANAGEMENT_EDITS
retained_edits: Final = [e for e in edits if isinstance(e, dict) and e.get("type") in supported]
if not retained_edits:
anthropic_messages_request.pop("context_management", None)
@@ -546,15 +549,16 @@ class AmazonAnthropicClaudeMessagesConfig(
if "tool-search-tool-2025-10-19" in beta_set:
beta_set.add("tool-examples-2025-10-29")
+ beta_provider: Final = self.custom_llm_provider or "bedrock"
filtered_betas: Final = sorted(
filter_and_transform_beta_headers(
beta_headers=list(beta_set),
- provider="bedrock",
+ provider=beta_provider,
)
)
dropped_user_betas: Final = sorted(
- b for b in user_beta_set if not filter_and_transform_beta_headers([b], provider="bedrock")
+ b for b in user_beta_set if not filter_and_transform_beta_headers([b], provider=beta_provider)
)
if dropped_user_betas:
verbose_logger.warning(
diff --git a/litellm/llms/bedrock_mantle/messages/transformation.py b/litellm/llms/bedrock_mantle/messages/transformation.py
index a4365cfa49b..480c09a0476 100644
--- a/litellm/llms/bedrock_mantle/messages/transformation.py
+++ b/litellm/llms/bedrock_mantle/messages/transformation.py
@@ -1,6 +1,9 @@
from collections.abc import Mapping
+from types import MappingProxyType
from typing import Final
+from pydantic import TypeAdapter
+
from litellm.llms.anthropic.experimental_pass_through.messages.transformation import (
DEFAULT_ANTHROPIC_API_VERSION,
)
@@ -13,6 +16,7 @@ from litellm.llms.bedrock_mantle.common_utils import (
resolve_mantle_region,
)
from litellm.secret_managers.main import get_secret_str
+from litellm.types.llms.anthropic import ANTHROPIC_BETA_HEADER_VALUES
from litellm.types.router import GenericLiteLLMParams
_BASE_SUFFIXES_TO_STRIP: Final = (
@@ -23,6 +27,9 @@ _BASE_SUFFIXES_TO_STRIP: Final = (
"/openai/v1",
"/v1",
)
+_BODY_FIELDS_MANTLE_READS_FROM_HEADERS: Final = frozenset({"anthropic_version", "anthropic_beta"})
+_ANTHROPIC_BETAS: Final = TypeAdapter(tuple[str, ...])
+_MANTLE_REQUEST: Final = TypeAdapter(dict[str, object])
def build_mantle_native_messages_url(api_base: str | None, litellm_params: Mapping[str, object]) -> str:
@@ -39,6 +46,13 @@ def build_mantle_native_messages_url(api_base: str | None, litellm_params: Mappi
class BedrockMantleAnthropicMessagesConfig(BedrockMantleAuthMixin, AmazonMantleMessagesConfig):
+ _BEDROCK_INVOKE_SUPPORTED_CONTEXT_MANAGEMENT_EDITS: Mapping[str, str] = MappingProxyType(
+ {
+ **AmazonMantleMessagesConfig._BEDROCK_INVOKE_SUPPORTED_CONTEXT_MANAGEMENT_EDITS,
+ "clear_thinking_20251015": ANTHROPIC_BETA_HEADER_VALUES.CONTEXT_MANAGEMENT_2025_06_27.value,
+ }
+ )
+
def __init__(self, aws_signer: BaseAWSLLM | None = None) -> None:
AmazonMantleMessagesConfig.__init__(self)
self._aws_signer = aws_signer or self
@@ -89,13 +103,17 @@ class BedrockMantleAnthropicMessagesConfig(BedrockMantleAuthMixin, AmazonMantleM
litellm_params: GenericLiteLLMParams,
headers: dict,
) -> dict:
- request: Final = super().transform_anthropic_messages_request(
- model=model,
- messages=messages,
- anthropic_messages_optional_request_params=anthropic_messages_optional_request_params,
- litellm_params=litellm_params,
- headers=headers,
+ request: Final = _MANTLE_REQUEST.validate_python(
+ super().transform_anthropic_messages_request(
+ model=model,
+ messages=messages,
+ anthropic_messages_optional_request_params=anthropic_messages_optional_request_params,
+ litellm_params=litellm_params,
+ headers=headers,
+ ),
)
- if "anthropic_version" in anthropic_messages_optional_request_params:
- return request
- return {key: value for key, value in request.items() if key != "anthropic_version"}
+ betas: Final = request.get("anthropic_beta")
+ if betas is not None:
+ header_betas: Final = ",".join(_ANTHROPIC_BETAS.validate_python(betas))
+ headers["anthropic-beta"] = header_betas # rebind-ok: the handler signs and sends this same dict
+ return {key: value for key, value in request.items() if key not in _BODY_FIELDS_MANTLE_READS_FROM_HEADERS}
diff --git a/tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py b/tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py
index 2961eee925c..3544262996c 100644
--- a/tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py
+++ b/tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py
@@ -79,7 +79,10 @@ _SSE_EVENTS = (
},
),
("content_block_start", {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}}),
- ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "pong"}}),
+ (
+ "content_block_delta",
+ {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "pong"}},
+ ),
("content_block_stop", {"type": "content_block_stop", "index": 0}),
("message_delta", {"type": "message_delta", "delta": {"stop_reason": "end_turn"}, "usage": {"output_tokens": 1}}),
("message_stop", {"type": "message_stop"}),
@@ -152,7 +155,10 @@ class TestURL:
def test_default_host_comes_from_mantle_region_env(self, monkeypatch):
monkeypatch.setenv("BEDROCK_MANTLE_REGION", "ap-northeast-1")
- assert build_mantle_native_messages_url(None, {}) == f"https://bedrock-mantle.ap-northeast-1.api.aws{MESSAGES_PATH}"
+ assert (
+ build_mantle_native_messages_url(None, {})
+ == f"https://bedrock-mantle.ap-northeast-1.api.aws{MESSAGES_PATH}"
+ )
def test_config_get_complete_url_reads_litellm_params(self):
config = BedrockMantleAnthropicMessagesConfig()
@@ -344,3 +350,116 @@ class TestWireRequest:
authorization = route.calls.last.request.headers["authorization"]
assert authorization.startswith("AWS4-HMAC-SHA256")
assert "/us-east-1/bedrock/aws4_request" in authorization
+
+
+def _sent_betas(route: respx.Route) -> list[str]:
+ return route.calls.last.request.headers["anthropic-beta"].split(",")
+
+
+@pytest.mark.usefixtures("local_beta_headers_config")
+class TestBetaHeadersOnTheWire:
+ async def _send(self, **request_params) -> respx.Route:
+ route = _mantle_messages_route("us-east-1").mock(return_value=_anthropic_response())
+ await litellm.anthropic_messages(
+ model="bedrock_mantle/anthropic.claude-sonnet-5",
+ messages=[{"role": "user", "content": "ping"}],
+ max_tokens=8,
+ api_key="test-bearer",
+ aws_region_name="us-east-1",
+ **request_params,
+ )
+ return route
+
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_betas_mantle_accepts_reach_it_in_the_header(self):
+ route = await self._send(
+ extra_headers={
+ "anthropic-beta": "claude-code-20250219,interleaved-thinking-2025-05-14,context-management-2025-06-27"
+ }
+ )
+
+ assert _sent_betas(route) == [
+ "claude-code-20250219",
+ "context-management-2025-06-27",
+ "interleaved-thinking-2025-05-14",
+ ]
+
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_betas_mantle_rejects_are_dropped_before_the_request(self):
+ route = await self._send(
+ extra_headers={"anthropic-beta": "code-execution-2025-08-25,context-1m-2025-08-07,files-api-2025-04-14"}
+ )
+
+ assert _sent_betas(route) == ["context-1m-2025-08-07"]
+
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_no_beta_header_is_sent_when_every_value_is_rejected(self):
+ route = await self._send(extra_headers={"anthropic-beta": "code-execution-2025-08-25"})
+
+ assert "anthropic-beta" not in route.calls.last.request.headers
+
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_advanced_tool_use_is_renamed_to_the_beta_mantle_knows(self):
+ route = await self._send(extra_headers={"anthropic-beta": "advanced-tool-use-2025-11-20"})
+
+ assert "tool-search-tool-2025-10-19" in _sent_betas(route)
+ assert "advanced-tool-use-2025-11-20" not in _sent_betas(route)
+
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_a_feature_beta_joins_the_callers_betas_in_the_header(self):
+ route = await self._send(
+ extra_headers={"anthropic-beta": "context-1m-2025-08-07"},
+ context_management={"edits": [{"type": "clear_tool_uses_20250919"}]},
+ )
+
+ assert _sent_betas(route) == ["context-1m-2025-08-07", "context-management-2025-06-27"]
+ assert _sent_body(route)["context_management"] == {"edits": [{"type": "clear_tool_uses_20250919"}]}
+
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_betas_and_version_never_travel_in_the_body(self):
+ route = await self._send(
+ extra_headers={"anthropic-beta": "context-1m-2025-08-07"},
+ context_management={"edits": [{"type": "clear_tool_uses_20250919"}]},
+ anthropic_version="bedrock-2023-05-31",
+ )
+
+ body = _sent_body(route)
+ assert "anthropic_beta" not in body
+ assert "anthropic_version" not in body
+ assert route.calls.last.request.headers["anthropic-version"] == "2023-06-01"
+
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_clear_thinking_edit_is_forwarded_with_thinking_on(self):
+ edits = [{"type": "clear_thinking_20251015", "keep": "all"}, {"type": "clear_tool_uses_20250919"}]
+ route = await self._send(
+ context_management={"edits": edits},
+ thinking={"type": "adaptive"},
+ )
+
+ body = _sent_body(route)
+ assert body["context_management"] == {"edits": edits}
+ assert body["thinking"] == {"type": "adaptive"}
+ assert "context-management-2025-06-27" in _sent_betas(route)
+
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_tools_reach_mantle_unchanged(self):
+ tools = [
+ {
+ "name": "get_weather",
+ "description": "Look up the weather",
+ "input_schema": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]},
+ }
+ ]
+ route = await self._send(tools=tools, tool_choice={"type": "auto"})
+
+ body = _sent_body(route)
+ assert body["tools"] == tools
+ assert body["tool_choice"] == {"type": "auto"}
From e833bdccdeb2e782b8482a612282027e224b35d2 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 18:19:02 -0700
Subject: [PATCH 105/246] fix(azure_ai): bridge Foundry function-tool requests
only where the chat surface rejects them
Foundry's OpenAI v1 chat surface rejects function tools with an explicit
reasoning_effort from gpt-5.6 on and with reasoning left on from gpt-6 on,
while gpt-5.4, gpt-5.5 and unset-effort gpt-5.6 serve them. Key the
azure_ai bridge on those measured boundaries instead of the azure
provider's gpt-5.4+ rule so working chat traffic keeps its n, logprobs,
seed and chatcmpl ids.
---
litellm/llms/azure_ai/common_utils.py | 9 ++++
.../llms/openai/chat/gpt_5_transformation.py | 33 ++++++++----
litellm/main.py | 45 +++++++++-------
.../llms/openai/test_is_model_gpt_5_model.py | 52 +++++++++++++++++++
tests/test_litellm/test_main.py | 23 +++++---
5 files changed, 125 insertions(+), 37 deletions(-)
diff --git a/litellm/llms/azure_ai/common_utils.py b/litellm/llms/azure_ai/common_utils.py
index d5a05cb8ea5..cffe9049de6 100644
--- a/litellm/llms/azure_ai/common_utils.py
+++ b/litellm/llms/azure_ai/common_utils.py
@@ -6,6 +6,7 @@ from urllib.parse import urlparse
import litellm
from litellm.llms.base_llm.base_utils import BaseLLMModelInfo, BaseTokenCounter
+from litellm.llms.openai.chat.gpt_5_transformation import OpenAIGPT5Config
from litellm.secret_managers.main import get_secret_str
from litellm.types.llms.openai import AllMessageValues
from litellm.types.router import GenericLiteLLMParams
@@ -150,6 +151,14 @@ def azure_ai_supports_native_responses(model: str | None, api_base: str | None)
return AzureFoundryModelInfo.get_azure_ai_route(model) == "default"
+def foundry_chat_rejects_function_tools_while_reasoning(
+ model: str, reasoning_effort: str | Mapping[str, object] | None
+) -> bool:
+ if reasoning_effort is None:
+ return OpenAIGPT5Config.is_model_gpt_6_plus_model(model)
+ return OpenAIGPT5Config.is_model_gpt_5_6_plus_model(model)
+
+
class AzureFoundryModelInfo(BaseLLMModelInfo):
"""Model info for Azure AI / Azure Foundry models."""
diff --git a/litellm/llms/openai/chat/gpt_5_transformation.py b/litellm/llms/openai/chat/gpt_5_transformation.py
index 1b93df95341..d0e5ff01e71 100644
--- a/litellm/llms/openai/chat/gpt_5_transformation.py
+++ b/litellm/llms/openai/chat/gpt_5_transformation.py
@@ -1,5 +1,6 @@
"""Support for OpenAI gpt-5 model family."""
+import re
from typing import Final
import litellm
@@ -11,6 +12,8 @@ from litellm.utils import (
from .gpt_transformation import OpenAIGPTConfig
+_GPT_SERIES_VERSION: Final = re.compile(r"^gpt-(\d+)(?:\.(\d+))?(?=[.-]|$)")
+
def _catalogue_declares_default_effort() -> bool:
"""Whether the loaded cost map carries default_reasoning_effort for ANY entry.
@@ -112,20 +115,28 @@ class OpenAIGPT5Config(OpenAIGPTConfig):
model_name: Final = model.split("/")[-1]
return model_name.startswith("gpt-5.4")
+ @staticmethod
+ def _gpt_series_version(model: str) -> tuple[int, int] | None:
+ match: Final = _GPT_SERIES_VERSION.match(model.split("/")[-1])
+ if match is None:
+ return None
+ return int(match.group(1)), int(match.group(2) or 0)
+
@classmethod
def is_model_gpt_5_4_plus_model(cls, model: str) -> bool:
"""Check if the model is gpt-5.4 or newer (5.4, 5.5, 5.6, etc., including pro)."""
- model_name: Final = model.split("/")[-1]
- if model_name.startswith("gpt-6"):
- return True
- if not model_name.startswith("gpt-5."):
- return False
- try:
- version_str: Final = model_name.replace("gpt-5.", "").split("-")[0]
- major: Final = version_str.split(".")[0]
- return int(major) >= 4
- except (ValueError, IndexError):
- return False
+ version: Final = cls._gpt_series_version(model)
+ return version is not None and version >= (5, 4)
+
+ @classmethod
+ def is_model_gpt_5_6_plus_model(cls, model: str) -> bool:
+ version: Final = cls._gpt_series_version(model)
+ return version is not None and version >= (5, 6)
+
+ @classmethod
+ def is_model_gpt_6_plus_model(cls, model: str) -> bool:
+ version: Final = cls._gpt_series_version(model)
+ return version is not None and version >= (6, 0)
@classmethod
def _model_map_lookup_name(cls, model: str) -> str:
diff --git a/litellm/main.py b/litellm/main.py
index 6ab2fcd4b03..93b6c730d86 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -100,7 +100,10 @@ from litellm.litellm_core_utils.prompt_templates.common_utils import (
from litellm.litellm_core_utils.request_timeout_resolver import (
get_configured_request_timeout,
)
-from litellm.llms.azure_ai.common_utils import azure_ai_supports_native_responses
+from litellm.llms.azure_ai.common_utils import (
+ azure_ai_supports_native_responses,
+ foundry_chat_rejects_function_tools_while_reasoning,
+)
from litellm.llms.base_llm import BaseConfig, BaseImageGenerationConfig
from litellm.llms.base_llm.base_model_iterator import (
convert_model_response_to_streaming,
@@ -1107,6 +1110,10 @@ def responses_api_bridge_check(
# provider with a custom api_base and gpt-5.4+ model names serve tools without
# reasoning fine and have no /responses route, so they keep pre-existing
# behavior (bridge only on an explicit reasoning_effort).
+ # - Azure AI Foundry's OpenAI v1 hosts (azure_ai provider) enforce it later in the series:
+ # an explicit effort with function tools is rejected from gpt-5.6 on, and the unset
+ # effort only from gpt-6 on (gpt-5.6 serves tools with reasoning silently off), so the
+ # azure_ai gate keys on those measured boundaries instead of gpt-5.4+.
# - Older GPT-5 names (e.g. ``gpt-5``, ``gpt-5.1``): bridge only when a reasoning
# summary alias is present with ``reasoning_effort`` (tools alone stay on chat).
has_function_tool: Final = any(
@@ -1119,35 +1126,35 @@ def responses_api_bridge_check(
reasoning_active = reasoning_effort != "none"
# The reasoning+tools constraint is enforced by the real OpenAI backend behind any api.openai.com
# host (the default URL or a PrivateLink hostname such as .privatelink.api.openai.com) and
- # by Azure OpenAI, whether reached through the azure provider or as a Foundry OpenAI v1 host through
- # the azure_ai provider. Resolve the effective OpenAI base arg>global>env>default exactly as the chat
- # handler does, so a custom base set via litellm.api_base or OPENAI_BASE_URL/OPENAI_API_BASE isn't
- # misread as the default and bridged to a /responses route it lacks. A whitespace-only base
- # collapses to the default too.
+ # by Azure OpenAI through the azure provider. Resolve the effective OpenAI base arg>global>env>default
+ # exactly as the chat handler does, so a custom base set via litellm.api_base or
+ # OPENAI_BASE_URL/OPENAI_API_BASE isn't misread as the default and bridged to a /responses route it
+ # lacks. A whitespace-only base collapses to the default too.
resolved_api_base: Final = _resolve_openai_api_base(api_base).strip()
on_foundry_openai_endpoint: Final = custom_llm_provider == "azure_ai" and azure_ai_supports_native_responses(
model, api_base
)
on_constraint_enforcing_endpoint: Final = (
- custom_llm_provider == "azure"
- or on_foundry_openai_endpoint
- or resolved_api_base == ""
- or _is_openai_backed_api_base(resolved_api_base)
+ custom_llm_provider == "azure" or resolved_api_base == "" or _is_openai_backed_api_base(resolved_api_base)
+ )
+ chat_rejects_function_tools: Final = (
+ has_function_tool
+ and reasoning_active
+ and (
+ foundry_chat_rejects_function_tools_while_reasoning(model, reasoning_effort)
+ if on_foundry_openai_endpoint
+ else (
+ OpenAIGPT5Config.is_model_gpt_5_4_plus_model(model)
+ and (reasoning_effort is not None or on_constraint_enforcing_endpoint)
+ )
+ )
)
if (
(custom_llm_provider in ("openai", "azure") or on_foundry_openai_endpoint)
and model_info.get("mode") != "responses"
and OpenAIGPT5Config.is_model_gpt_5_model(model)
and not OpenAIGPT5Config.is_model_gpt_5_search_model(model)
- and (
- (reasoning_effort is not None and reasoning_summary is not None)
- or (
- OpenAIGPT5Config.is_model_gpt_5_4_plus_model(model)
- and has_function_tool
- and reasoning_active
- and (reasoning_effort is not None or on_constraint_enforcing_endpoint)
- )
- )
+ and ((reasoning_effort is not None and reasoning_summary is not None) or chat_rejects_function_tools)
):
model_info["mode"] = "responses"
model = model.replace("responses/", "")
diff --git a/tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py b/tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py
index 107a1afb2c6..0bb8425d95e 100644
--- a/tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py
+++ b/tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py
@@ -159,6 +159,58 @@ class TestOpenAIGPT5ConfigIsModelGpt54PlusModel:
), f"Expected '{model}' NOT to be classified as gpt-5.4-or-newer"
+GPT5_6_PLUS_MODELS = [
+ "gpt-6-astra",
+ "openai/gpt-6-astra",
+ "gpt-5.6",
+ "gpt-5.6-sol",
+ "gpt-5.6-terra",
+ "gpt-5.10-preview",
+]
+
+GPT5_PRE_5_6_MODELS = [
+ "gpt-5",
+ "gpt-5.4",
+ "gpt-5.4-mini",
+ "gpt-5.5",
+ "gpt-5.5-pro",
+ "gpt-4o",
+]
+
+GPT6_PLUS_MODELS = [
+ "gpt-6-astra",
+ "openai/gpt-6-astra",
+ "gpt-6",
+ "gpt-6.1-preview",
+]
+
+GPT_PRE_6_MODELS = [
+ "gpt-5.6-sol",
+ "gpt-5.5",
+ "gpt-5",
+ "gpt-4o",
+]
+
+
+class TestOpenAIGPT5ConfigSeriesBoundaries:
+
+ @pytest.mark.parametrize("model", GPT5_6_PLUS_MODELS)
+ def test_gpt5_6_plus_models_are_classified_as_5_6_plus(self, model: str):
+ assert OpenAIGPT5Config.is_model_gpt_5_6_plus_model(model)
+
+ @pytest.mark.parametrize("model", GPT5_PRE_5_6_MODELS)
+ def test_pre_5_6_models_are_not_classified_as_5_6_plus(self, model: str):
+ assert not OpenAIGPT5Config.is_model_gpt_5_6_plus_model(model)
+
+ @pytest.mark.parametrize("model", GPT6_PLUS_MODELS)
+ def test_gpt6_plus_models_are_classified_as_6_plus(self, model: str):
+ assert OpenAIGPT5Config.is_model_gpt_6_plus_model(model)
+
+ @pytest.mark.parametrize("model", GPT_PRE_6_MODELS)
+ def test_pre_6_models_are_not_classified_as_6_plus(self, model: str):
+ assert not OpenAIGPT5Config.is_model_gpt_6_plus_model(model)
+
+
# ---------------------------------------------------------------------------
# AzureOpenAIGPT5Config
# ---------------------------------------------------------------------------
diff --git a/tests/test_litellm/test_main.py b/tests/test_litellm/test_main.py
index ab09d242e98..c2b45aac488 100644
--- a/tests/test_litellm/test_main.py
+++ b/tests/test_litellm/test_main.py
@@ -1313,25 +1313,29 @@ _FOUNDRY_FUNCTION_TOOL: Final = ({"type": "function", "function": {"name": "get_
@pytest.mark.parametrize(
- "api_base, reasoning_effort",
+ "model_name, api_base, reasoning_effort",
[
- pytest.param(_FOUNDRY_API_BASE, None, id="foundry-host-unset-effort"),
- pytest.param(_FOUNDRY_API_BASE, "low", id="foundry-host-explicit-effort"),
- pytest.param("https://myresource.openai.azure.com", None, id="azure-openai-host-unset-effort"),
+ pytest.param("gpt-6-astra", _FOUNDRY_API_BASE, None, id="gpt-6-unset-effort"),
+ pytest.param("gpt-6-astra", _FOUNDRY_API_BASE, "low", id="gpt-6-explicit-effort"),
+ pytest.param("gpt-6-astra", "https://myresource.openai.azure.com", None, id="gpt-6-azure-openai-host"),
+ pytest.param("gpt-5.6-sol", _FOUNDRY_API_BASE, "low", id="gpt-5.6-explicit-effort"),
+ pytest.param("gpt-5.6-sol", _FOUNDRY_API_BASE, {"effort": "high"}, id="gpt-5.6-explicit-effort-dict"),
],
)
-def test_responses_api_bridge_check_azure_ai_foundry_gpt_5_4_plus_tools_routes_to_responses(api_base, reasoning_effort):
+def test_responses_api_bridge_check_azure_ai_foundry_rejected_tools_route_to_responses(
+ model_name, api_base, reasoning_effort
+):
from litellm.main import responses_api_bridge_check
model_info, model = responses_api_bridge_check(
- model="gpt-6-astra",
+ model=model_name,
custom_llm_provider="azure_ai",
tools=_FOUNDRY_FUNCTION_TOOL,
reasoning_effort=reasoning_effort,
api_base=api_base,
)
- assert model == "gpt-6-astra"
+ assert model == model_name
assert model_info.get("mode") == "responses"
@@ -1339,6 +1343,11 @@ def test_responses_api_bridge_check_azure_ai_foundry_gpt_5_4_plus_tools_routes_t
"model_name, api_base, reasoning_effort",
[
pytest.param("gpt-6-astra", _FOUNDRY_API_BASE, "none", id="explicit-none-stays-chat"),
+ pytest.param("gpt-5.6-sol", _FOUNDRY_API_BASE, None, id="gpt-5.6-unset-effort-stays-chat"),
+ pytest.param("gpt-5.6-sol", _FOUNDRY_API_BASE, "none", id="gpt-5.6-explicit-none-stays-chat"),
+ pytest.param("gpt-5.5", _FOUNDRY_API_BASE, "high", id="gpt-5.5-explicit-effort-stays-chat"),
+ pytest.param("gpt-5.4-mini", _FOUNDRY_API_BASE, None, id="gpt-5.4-mini-unset-effort-stays-chat"),
+ pytest.param("gpt-5.4-mini", _FOUNDRY_API_BASE, "low", id="gpt-5.4-mini-explicit-effort-stays-chat"),
pytest.param("gpt-6-astra", "https://myproject.models.ai.azure.com", None, id="serverless-host-stays-chat"),
pytest.param("Mistral-large-2411", _FOUNDRY_API_BASE, None, id="non-gpt-5-model-stays-chat"),
pytest.param("claude-opus-4-1", _FOUNDRY_API_BASE, None, id="claude-on-foundry-stays-chat"),
From b0971ee0bac259d278313eedd9e43bd6835da671 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 18:22:41 -0700
Subject: [PATCH 106/246] fix: count extra_body tools and cache_control in
place of the direct ones
---
.../anthropic_cache_control_hook.py | 22 +++++-------
.../test_anthropic_cache_control_hook.py | 36 +++++++++++++++++++
2 files changed, 45 insertions(+), 13 deletions(-)
diff --git a/litellm/integrations/anthropic_cache_control_hook.py b/litellm/integrations/anthropic_cache_control_hook.py
index f9b9238b181..036b9d033cd 100644
--- a/litellm/integrations/anthropic_cache_control_hook.py
+++ b/litellm/integrations/anthropic_cache_control_hook.py
@@ -318,26 +318,22 @@ class AnthropicCacheControlHook(CustomPromptManagement):
A tool carries its mark at the top level (Anthropic shape) or under ``function``
(OpenAI shape). A top-level ``cache_control`` is Anthropic's automatic caching,
- which places one breakpoint of its own on top of the explicit ones. Marks the
- client sends through the ``extra_body`` envelope of ``request_kwargs`` reach the
- wire too and count the same way. Callers pass only the tools whose mark reaches
- the provider on their path.
+ which places one breakpoint of its own on top of the explicit ones. The
+ ``extra_body`` envelope of ``request_kwargs`` is merged over the request on the
+ wire, so a ``tools`` or ``cache_control`` it carries replaces the direct value
+ and is counted in its place. Callers pass only the tools whose mark reaches the
+ provider on their path.
"""
extra_body: Final = (
_validated_object_mapping(AnthropicCacheControlHook._request_value(request_kwargs, "extra_body")) or {}
)
- automatic_blocks: Final = sum(
- 1 for control in (cache_control, extra_body.get("cache_control")) if control is not None
- )
- tool_blocks: Final = sum(
- 1
- for tool in (*(tools or ()), *(_validated_object_list(extra_body.get("tools")) or ()))
- if _tool_carries_cache_breakpoint(tool)
- )
+ wire_cache_control: Final = extra_body.get("cache_control", cache_control)
+ wire_tools: Final = _validated_object_list(extra_body["tools"]) if "tools" in extra_body else tools
+ tool_blocks: Final = sum(1 for tool in wire_tools or () if _tool_carries_cache_breakpoint(tool))
envelope_blocks: Final = AnthropicCacheControlHook.count_request_cache_breakpoints(
_validated_object_list(extra_body.get("messages")) or (), extra_body.get("system")
)
- return automatic_blocks + tool_blocks + envelope_blocks
+ return int(wire_cache_control is not None) + tool_blocks + envelope_blocks
@staticmethod
def _blocks_reserved_outside_messages(
diff --git a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
index 78aee3048ca..041b00c6c70 100644
--- a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
+++ b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
@@ -2596,6 +2596,42 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
_, result_sys = self._inject(self._marked_user_turns(3), kwargs)
assert result_sys == expected_system
+ @pytest.mark.parametrize(
+ "params,tools,marked_turns,injected",
+ [
+ ({"extra_body": {"tools": [MARKED_TOOL_TOP_LEVEL]}}, [MARKED_TOOL_TOP_LEVEL], 2, 1),
+ ({"extra_body": {"tools": [UNMARKED_TOOL]}}, [MARKED_TOOL_TOP_LEVEL], 3, 1),
+ ({"extra_body": {"tools": [MARKED_TOOL_TOP_LEVEL]}}, [UNMARKED_TOOL], 3, 0),
+ ({"extra_body": {"cache_control": EPHEMERAL}, "cache_control": EPHEMERAL}, None, 2, 1),
+ ],
+ ids=["same_marked_tool_both_ways", "extra_body_unmarks", "extra_body_marks", "root_cache_control_both_ways"],
+ )
+ def test_chat_cap_counts_extra_body_fields_in_place_of_the_direct_ones(self, params, tools, marked_turns, injected):
+ """``extra_body`` is merged over the request on the wire, so its ``tools`` and
+ ``cache_control`` replace the direct ones rather than adding to them."""
+ messages = [{"role": "system", "content": "sys"}, *self._marked_user_turns(marked_turns)]
+ params = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED), **copy.deepcopy(params)}
+ self._seed(params, copy.deepcopy(messages), tools=tools)
+ processed = self._chat(params, copy.deepcopy(messages))
+ assert _count_cache_control(processed) == marked_turns + injected
+
+ @pytest.mark.parametrize(
+ "kwargs,tools,marked_turns,expected_system",
+ [
+ ({"extra_body": {"tools": [MARKED_V1_TOOL]}}, [MARKED_V1_TOOL], 2, [{"type": "text", "text": "sys", "cache_control": EPHEMERAL}]),
+ ({"extra_body": {"tools": [UNMARKED_V1_TOOL]}}, [MARKED_V1_TOOL], 3, [{"type": "text", "text": "sys", "cache_control": EPHEMERAL}]),
+ ({"extra_body": {"tools": [MARKED_V1_TOOL]}}, [UNMARKED_V1_TOOL], 3, "sys"),
+ ({"extra_body": {"cache_control": EPHEMERAL}, "cache_control": EPHEMERAL}, None, 2, [{"type": "text", "text": "sys", "cache_control": EPHEMERAL}]),
+ ],
+ ids=["same_marked_tool_both_ways", "extra_body_unmarks", "extra_body_marks", "root_cache_control_both_ways"],
+ )
+ def test_v1_messages_cap_counts_extra_body_fields_in_place_of_the_direct_ones(
+ self, kwargs, tools, marked_turns, expected_system
+ ):
+ kwargs = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED), **copy.deepcopy(kwargs)}
+ _, result_sys = self._inject(self._marked_user_turns(marked_turns), kwargs, tools=tools)
+ assert result_sys == expected_system
+
def test_v1_messages_automatic_defaults_stand_down_for_root_cache_control(self, monkeypatch):
monkeypatch.setattr(litellm, "enable_anthropic_prompt_caching", True)
root_cache_control = {"type": "ephemeral"}
From 807541291d83f0c1c068f1f3e9505ffd5a44e2fe Mon Sep 17 00:00:00 2001
From: kerry
Date: Sun, 20 Sep 2026 01:25:28 +0000
Subject: [PATCH 107/246] test(integration): batch and realtime cost cases
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/_support/upstream.py | 80 ++++-
tests/integration/contracts.json | 24 ++
.../cost_calculation/assertions.py | 141 +++++++++
.../integration/cost_calculation/conftest.py | 8 +-
.../cost_calculation/cost_tracking_case.py | 192 +++++++++++-
.../cost_calculation/cost_tracking_cases.json | 218 +++++++++++++
.../test_batch_realtime_cost.py | 288 ++++++++++++++++++
.../cost_calculation/test_cost_tracking.py | 150 +--------
8 files changed, 937 insertions(+), 164 deletions(-)
create mode 100644 tests/integration/cost_calculation/assertions.py
create mode 100644 tests/integration/cost_calculation/test_batch_realtime_cost.py
diff --git a/tests/integration/_support/upstream.py b/tests/integration/_support/upstream.py
index 759df7003e4..e9c50ea7966 100644
--- a/tests/integration/_support/upstream.py
+++ b/tests/integration/_support/upstream.py
@@ -3,35 +3,38 @@ from __future__ import annotations
import argparse
import asyncio
import base64
-from collections import deque
-from collections.abc import AsyncIterator, Mapping
import json
-from dataclasses import dataclass, field
import os
-from pathlib import Path
-from queue import SimpleQueue
import struct
-from typing import Final, cast
import uuid
import zlib
+from collections import deque
+from collections.abc import AsyncIterator, Mapping
+from dataclasses import dataclass, field
+from pathlib import Path
+from queue import SimpleQueue
+from typing import Final, cast
import httpx
import uvicorn
-from pydantic import BaseModel, JsonValue, TypeAdapter, ValidationError
-from starlette.applications import Starlette
-from starlette.requests import Request
-from starlette.responses import JSONResponse, Response, StreamingResponse
-from starlette.routing import Route
-
from _fake_openai_endpoint_server import chat_completions, completions, embeddings, health, moderations
from integration.cost_calculation.cost_tracking_case import (
BinaryResponse,
EventStreamEvent,
EventStreamResponse,
JsonResponse,
+ RealtimeResponse,
+ RoutedResponse,
SseResponse,
StoredResponse,
+ TextResponse,
)
+from pydantic import BaseModel, JsonValue, TypeAdapter, ValidationError
+from starlette.applications import Starlette
+from starlette.requests import Request
+from starlette.responses import JSONResponse, Response, StreamingResponse
+from starlette.routing import Route, WebSocketRoute
+from starlette.websockets import WebSocket
JSON_OBJECT: Final = TypeAdapter(dict[str, JsonValue])
CASES_FILE: Final = Path(__file__).resolve().parents[1] / "cost_calculation" / "cost_tracking_cases.json"
@@ -211,8 +214,53 @@ class Provider:
response: Final = self.scenario_store.get(scenario_id)
if response is None:
return JSONResponse({"error": "Unknown scenario"}, status_code=404)
+ if isinstance(response, RoutedResponse):
+ route_key: Final = f"{request.method} /{'/'.join(segments[1:])}"
+ route: Final = next(
+ (
+ candidate
+ for key, candidate in response.routes.items()
+ if key.replace("$REQUEST_ID", scenario_id) == route_key
+ ),
+ None,
+ )
+ if route is None:
+ return JSONResponse({"error": "Unknown scripted route"}, status_code=404)
+ return self._response(route, scenario_id)
return self._response(response, scenario_id)
+ async def realtime(self, websocket: WebSocket) -> None:
+ scenario_id: Final = websocket.headers.get("authorization", "").removeprefix("Bearer ")
+ response: Final = self.scenario_store.get(scenario_id)
+ if not isinstance(response, RealtimeResponse):
+ await websocket.close(code=4404)
+ return
+ await websocket.accept()
+ model: Final = websocket.query_params.get("model", "")
+ await websocket.send_json(
+ {
+ "type": "session.created",
+ "session": {
+ "id": f"sess_{scenario_id}",
+ "model": response.session_model if response.session_model is not None else model,
+ },
+ }
+ )
+ event_index: Final = iter(response.events)
+ async for message in websocket.iter_json():
+ payload: Final = JSON_OBJECT.validate_python(message)
+ if payload.get("type") != "response.create":
+ continue
+ event: Final = next(event_index, None)
+ if event is None:
+ continue
+ rendered: Final = JSON_OBJECT.validate_json(
+ json.dumps(event, separators=(",", ":"))
+ .replace("$REQUEST_ID", scenario_id)
+ .replace("$UNIQUE_ID", f"{scenario_id}-{uuid.uuid4().hex[:8]}")
+ )
+ await websocket.send_json(rendered)
+
@staticmethod
def _response(response: StoredResponse, scenario_id: str) -> Response:
unique_id: Final = f"{scenario_id}-{uuid.uuid4().hex[:8]}"
@@ -232,6 +280,12 @@ class Provider:
content=b"\x00" * response.length,
media_type=response.content_type,
)
+ case TextResponse():
+ return Response(
+ content=response.body.replace("$REQUEST_ID", scenario_id).encode(),
+ media_type=response.content_type,
+ status_code=response.status,
+ )
case SseResponse():
if response.frame_delay_ms > 0:
async def stream() -> AsyncIterator[bytes]:
@@ -285,6 +339,8 @@ class Provider:
Route("/v1/embeddings", embeddings, methods=["POST"]),
Route("/v1/moderations", moderations, methods=["POST"]),
Route("/{path:path}", self.scripted, methods=["POST"]),
+ Route("/{path:path}", self.scripted, methods=["GET"]),
+ WebSocketRoute("/v1/realtime", self.realtime),
]
)
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index fe7c808790d..195c7ba4ab4 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -226,6 +226,30 @@
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[anthropic.claude-sonnet-5-v1:0-input_text]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
],
+ "tests/integration/cost_calculation/test_batch_realtime_cost.py::test_batch_costs[gpt-5.6-batch-halved_rates_when_map_has_no_batch_keys]": [
+ "quota_management.spend_tracking.batch_costs.fallback_rates"
+ ],
+ "tests/integration/cost_calculation/test_batch_realtime_cost.py::test_batch_costs[gpt-5.6-batch-cached_input_halved]": [
+ "quota_management.spend_tracking.batch_costs.cached_input"
+ ],
+ "tests/integration/cost_calculation/test_batch_realtime_cost.py::test_batch_costs[gpt-5.4-batch-explicit_batch_rates_bill_cached_at_batch_input_rate]": [
+ "quota_management.spend_tracking.batch_costs.explicit_rates"
+ ],
+ "tests/integration/cost_calculation/test_batch_realtime_cost.py::test_batch_costs[gpt-5.6-batch-all_requests_failed_zero_spend]": [
+ "quota_management.spend_tracking.batch_costs.failed_requests"
+ ],
+ "tests/integration/cost_calculation/test_batch_realtime_cost.py::test_realtime_costs[gpt-realtime-mini-2025-12-15-realtime-single_turn_text_audio_cached]": [
+ "quota_management.spend_tracking.realtime_costs.single_turn"
+ ],
+ "tests/integration/cost_calculation/test_batch_realtime_cost.py::test_realtime_costs[gpt-realtime-mini-2025-12-15-realtime-two_turns_summed_into_one_row]": [
+ "quota_management.spend_tracking.realtime_costs.multiple_turns"
+ ],
+ "tests/integration/cost_calculation/test_batch_realtime_cost.py::test_realtime_costs[gpt-realtime-mini-2025-12-15-realtime-priced_from_session_created_model]": [
+ "quota_management.spend_tracking.realtime_costs.session_model"
+ ],
+ "tests/integration/cost_calculation/test_batch_realtime_cost.py::test_realtime_no_turn_probe": [
+ "quota_management.spend_tracking.realtime_costs.no_turn_probe"
+ ],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[anthropic.claude-sonnet-5-v1:0-cache_read]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
],
diff --git a/tests/integration/cost_calculation/assertions.py b/tests/integration/cost_calculation/assertions.py
new file mode 100644
index 00000000000..b0b9057dd9d
--- /dev/null
+++ b/tests/integration/cost_calculation/assertions.py
@@ -0,0 +1,141 @@
+from __future__ import annotations
+
+import httpx
+from integration.cost_calculation.conftest import (
+ CostBreakdown,
+ CostRow,
+ approx_equal,
+ assert_total_is_sum_of_components,
+)
+from integration.cost_calculation.cost_tracking_case import ExactExpected, RecountExpected
+
+
+def assert_breakdown(
+ case_name: str,
+ response_content_type: str,
+ expected: ExactExpected,
+ breakdown: CostBreakdown,
+ response: httpx.Response,
+) -> None:
+ assert breakdown.input_cost is not None and approx_equal(breakdown.input_cost, expected.input_cost), (
+ f"{case_name}: input_cost {breakdown.input_cost} != expected {expected.input_cost}"
+ )
+ assert breakdown.output_cost is not None and approx_equal(breakdown.output_cost, expected.output_cost), (
+ f"{case_name}: output_cost {breakdown.output_cost} != expected {expected.output_cost}"
+ )
+ for field, header_name, actual_component, expected_component in (
+ (
+ "cache_read_cost",
+ "x-litellm-response-cost-cache-read",
+ breakdown.cache_read_cost,
+ expected.cache_read_cost,
+ ),
+ (
+ "cache_creation_cost",
+ "x-litellm-response-cost-cache-creation",
+ breakdown.cache_creation_cost,
+ expected.cache_creation_cost,
+ ),
+ (
+ "reasoning_cost",
+ "x-litellm-response-cost-reasoning",
+ breakdown.reasoning_cost,
+ expected.reasoning_cost,
+ ),
+ (
+ "tool_usage_cost",
+ "x-litellm-response-cost-tool-usage",
+ breakdown.tool_usage_cost,
+ expected.tool_usage_cost,
+ ),
+ ):
+ if expected_component is None:
+ continue
+ omitted_component_allowed: bool = expected_component == 0.0
+ assert (actual_component is None and omitted_component_allowed) or (
+ actual_component is not None and approx_equal(actual_component, expected_component)
+ ), f"{case_name}: {field} {actual_component} != expected {expected_component}"
+ if expected.cost_header and response_content_type == "application/json":
+ header: str | None = response.headers.get(header_name)
+ assert (header is None and omitted_component_allowed) or (
+ header is not None and approx_equal(float(header), expected_component)
+ ), f"{case_name}: {header_name} {header} != expected {expected_component}"
+ if expected.cost_header and response_content_type == "application/json" and any(
+ component is not None
+ for component in (
+ expected.cache_read_cost,
+ expected.cache_creation_cost,
+ expected.reasoning_cost,
+ expected.tool_usage_cost,
+ )
+ ):
+ input_header: str | None = response.headers.get("x-litellm-response-cost-input")
+ output_header: str | None = response.headers.get("x-litellm-response-cost-output")
+ expected_input_header: float = expected.input_cost - (
+ expected.cache_read_cost or 0.0
+ ) - (expected.cache_creation_cost or 0.0)
+ assert input_header is not None and approx_equal(float(input_header), expected_input_header), (
+ f"{case_name}: x-litellm-response-cost-input {input_header} != expected {expected_input_header}"
+ )
+ assert output_header is not None and approx_equal(float(output_header), expected.output_cost), (
+ f"{case_name}: x-litellm-response-cost-output {output_header} != expected {expected.output_cost}"
+ )
+
+
+def assert_exact(
+ case_name: str,
+ response_content_type: str,
+ expected: ExactExpected,
+ row: CostRow,
+ response: httpx.Response,
+) -> None:
+ assert row.spend is not None and approx_equal(row.spend, expected.spend), (
+ f"{case_name}: spend {row.spend} != expected {expected.spend} "
+ f"(breakdown {row.breakdown.model_dump() if row.breakdown is not None else None})"
+ )
+ breakdown: CostBreakdown | None = row.breakdown
+ if expected.breakdown_persisted:
+ assert breakdown is not None, f"{case_name}: no cost_breakdown persisted"
+ if breakdown is not None:
+ assert_breakdown(case_name, response_content_type, expected, breakdown, response)
+ assert row.prompt_tokens == expected.prompt_tokens, (
+ f"{case_name}: prompt_tokens {row.prompt_tokens} != expected {expected.prompt_tokens}"
+ )
+ assert row.completion_tokens == expected.completion_tokens, (
+ f"{case_name}: completion_tokens {row.completion_tokens} != expected {expected.completion_tokens}"
+ )
+ if breakdown is not None:
+ assert_total_is_sum_of_components(row, breakdown, case_name)
+
+
+def assert_recount(case_name: str, expected: RecountExpected, row: CostRow) -> None:
+ assert row.prompt_tokens is not None and row.prompt_tokens > 0, (
+ f"{case_name}: recount case counted no input tokens: prompt_tokens={row.prompt_tokens}"
+ )
+ assert row.completion_tokens is not None and row.completion_tokens > 0, (
+ f"{case_name}: recount case counted no output tokens: completion_tokens={row.completion_tokens}"
+ )
+ if expected.prompt_tokens is not None:
+ assert row.prompt_tokens == expected.prompt_tokens, (
+ f"{case_name}: prompt_tokens {row.prompt_tokens} != pinned {expected.prompt_tokens}"
+ )
+ if expected.completion_tokens is not None:
+ assert row.completion_tokens == expected.completion_tokens, (
+ f"{case_name}: completion_tokens {row.completion_tokens} != pinned {expected.completion_tokens}"
+ )
+ if expected.min_completion_tokens is not None:
+ assert row.completion_tokens >= expected.min_completion_tokens, (
+ f"{case_name}: completion_tokens {row.completion_tokens} < minimum {expected.min_completion_tokens}"
+ )
+ if expected.max_completion_tokens is not None:
+ assert row.completion_tokens <= expected.max_completion_tokens, (
+ f"{case_name}: completion_tokens {row.completion_tokens} > maximum {expected.max_completion_tokens}"
+ )
+ recount: float = row.prompt_tokens * expected.recount.input_cost_per_token + (
+ row.completion_tokens * expected.recount.output_cost_per_token
+ )
+ assert row.spend is not None and approx_equal(row.spend, recount), (
+ f"{case_name}: spend {row.spend} != recount {recount} at map rates"
+ )
+ assert row.breakdown is not None, f"{case_name}: no cost_breakdown persisted"
+ assert_total_is_sum_of_components(row, row.breakdown, case_name)
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index bc68419f01d..9c6ffe3f7d0 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -10,12 +10,11 @@ from typing import Final
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import rsa
-from pydantic import BaseModel, ConfigDict
-
from integration._support.client import JSON_OBJECT, Scenario, eventually, object_value, string_value
from integration._support.database import read_rows
from integration._support.upstream import ScenarioHandle, delete_scenario, register_scenario
from integration.cost_calculation.cost_tracking_case import CostTrackingTestCase, StoredResponse
+from pydantic import BaseModel, ConfigDict
class CostBreakdown(BaseModel):
@@ -45,6 +44,7 @@ class CostRow(BaseModel):
prompt_tokens: int | None = None
completion_tokens: int | None = None
model_id: str | None = None
+ call_type: str | None = None
metadata: CostMetadata | None = None
@property
@@ -112,7 +112,7 @@ def poll_cost_row(key: str) -> CostRow:
def read() -> CostRow | None:
rows: Final = read_rows(
- 'SELECT spend, status, metadata, prompt_tokens, completion_tokens, model_id '
+ 'SELECT spend, status, metadata, prompt_tokens, completion_tokens, model_id, call_type '
'FROM "LiteLLM_SpendLogs" WHERE api_key=%s',
(digest,),
)
@@ -126,7 +126,7 @@ def poll_cost_row(key: str) -> CostRow:
def read_rows_now(key: str) -> tuple[CostRow, ...]:
digest: Final = sha256(key.encode()).hexdigest()
rows: Final = read_rows(
- 'SELECT spend, status, metadata, prompt_tokens, completion_tokens, model_id '
+ 'SELECT spend, status, metadata, prompt_tokens, completion_tokens, model_id, call_type '
'FROM "LiteLLM_SpendLogs" WHERE api_key=%s ORDER BY "startTime"',
(digest,),
)
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index 56a7cefb443..0e75b0c23b1 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -5,7 +5,7 @@ from pathlib import Path
from types import MappingProxyType
from typing import Annotated, Final, Literal, TypeAlias
-from pydantic import BaseModel, ConfigDict, Field, JsonValue
+from pydantic import BaseModel, ConfigDict, Field, JsonValue, field_validator, model_validator
CASES_PATH: Final = Path(__file__).resolve().parent / "cost_tracking_cases.json"
@@ -44,6 +44,8 @@ class CostMapEntry(BaseModel):
supports_function_calling: bool | None = None
input_cost_per_token: float | None = None
output_cost_per_token: float | None = None
+ input_cost_per_token_batches: float | None = None
+ output_cost_per_token_batches: float | None = None
input_cost_per_token_above_128k_tokens: float | None = None
output_cost_per_token_above_128k_tokens: float | None = None
cache_read_input_token_cost: float | None = None
@@ -54,6 +56,7 @@ class CostMapEntry(BaseModel):
cache_creation_input_token_cost_above_200k_tokens: float | None = None
input_cost_per_token_above_200k_tokens: float | None = None
output_cost_per_token_above_200k_tokens: float | None = None
+ cache_read_input_audio_token_cost: float | None = None
tiered_pricing: tuple[TieredPrice, ...] | None = None
output_cost_per_reasoning_token: float | None = None
input_cost_per_audio_token: float | None = None
@@ -141,8 +144,31 @@ class BinaryResponse(BaseModel):
length: int
+class TextResponse(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ content_type: Literal["application/jsonl"]
+ body: str
+ status: int = 200
+
+
+class RoutedResponse(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ content_type: Literal["application/x-routed"]
+ routes: dict[str, JsonResponse | TextResponse]
+
+
+class RealtimeResponse(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ content_type: Literal["application/x-realtime"]
+ events: tuple[dict[str, JsonValue], ...]
+ session_model: str | None = None
+
+
StoredResponse: TypeAlias = Annotated[
- JsonResponse | SseResponse | EventStreamResponse | BinaryResponse,
+ JsonResponse | SseResponse | EventStreamResponse | BinaryResponse | RoutedResponse | RealtimeResponse,
Field(discriminator="content_type"),
]
@@ -283,11 +309,156 @@ class CostTrackingTestCase(BaseModel):
return isinstance(usage, dict) and isinstance(usage.get("cost"), (int, float))
+class BatchOutputLine(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ status_code: int
+ prompt_tokens: int | None = None
+ completion_tokens: int | None = None
+ cached_tokens: int | None = None
+
+ @field_validator("status_code")
+ @classmethod
+ def validate_status_code(cls, value: int) -> int:
+ if value != 200 and not 400 <= value <= 499:
+ raise ValueError("status_code must be 200 or a 4xx status")
+ return value
+
+ def render(self, index: int, model: str, request_id: str) -> dict[str, JsonValue]:
+ if self.status_code != 200:
+ return {
+ "id": f"batch_req_{index}",
+ "custom_id": f"r{index}",
+ "response": None,
+ "error": {"code": "bad_request", "message": "failed"},
+ }
+ assert self.prompt_tokens is not None
+ assert self.completion_tokens is not None
+ usage: dict[str, JsonValue] = {
+ "prompt_tokens": self.prompt_tokens,
+ "completion_tokens": self.completion_tokens,
+ "total_tokens": self.prompt_tokens + self.completion_tokens,
+ }
+ if self.cached_tokens is not None:
+ usage["prompt_tokens_details"] = {"cached_tokens": self.cached_tokens}
+ return {
+ "id": f"batch_req_{index}",
+ "custom_id": f"r{index}",
+ "response": {
+ "status_code": 200,
+ "request_id": f"{request_id}-{index}",
+ "body": {
+ "id": f"chatcmpl-{request_id}-{index}",
+ "object": "chat.completion",
+ "model": model,
+ "choices": [
+ {
+ "index": 0,
+ "message": {"role": "assistant", "content": "ok"},
+ "finish_reason": "stop",
+ }
+ ],
+ "usage": usage,
+ },
+ },
+ "error": None,
+ }
+
+
+class BatchCostCase(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ name: str
+ covers: str
+ model: str
+ litellm_model: str
+ output_lines: tuple[BatchOutputLine, ...]
+ expected: ExactExpected
+
+ @property
+ def request_count(self) -> int:
+ return len(self.output_lines) or 2
+
+ @property
+ def completed_count(self) -> int:
+ return sum(line.status_code == 200 for line in self.output_lines)
+
+ @property
+ def failed_count(self) -> int:
+ return self.request_count - self.completed_count
+
+
+class RealtimeTurn(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ input_tokens: int
+ output_tokens: int
+ input_text_tokens: int
+ input_audio_tokens: int
+ input_cached_tokens: int
+ output_text_tokens: int
+ output_audio_tokens: int
+
+ @model_validator(mode="after")
+ def validate_token_totals(self) -> RealtimeTurn:
+ if self.input_text_tokens + self.input_audio_tokens != self.input_tokens:
+ raise ValueError("input text and audio tokens must equal input_tokens")
+ if self.output_text_tokens + self.output_audio_tokens != self.output_tokens:
+ raise ValueError("output text and audio tokens must equal output_tokens")
+ if self.input_cached_tokens > self.input_text_tokens:
+ raise ValueError("input_cached_tokens must not exceed input_text_tokens")
+ return self
+
+ def render(self, index: int, request_id: str) -> dict[str, JsonValue]:
+ return {
+ "type": "response.done",
+ "event_id": f"evt_{request_id}_{index}",
+ "response": {
+ "id": f"resp_{request_id}_{index}",
+ "object": "realtime.response",
+ "status": "completed",
+ "output": [],
+ "usage": {
+ "total_tokens": self.input_tokens + self.output_tokens,
+ "input_tokens": self.input_tokens,
+ "output_tokens": self.output_tokens,
+ "input_token_details": {
+ "text_tokens": self.input_text_tokens,
+ "audio_tokens": self.input_audio_tokens,
+ "cached_tokens": self.input_cached_tokens,
+ "cached_tokens_details": {
+ "text_tokens": self.input_cached_tokens,
+ "audio_tokens": 0,
+ },
+ },
+ "output_token_details": {
+ "text_tokens": self.output_text_tokens,
+ "audio_tokens": self.output_audio_tokens,
+ },
+ },
+ },
+ }
+
+
+class RealtimeCostCase(BaseModel):
+ model_config = ConfigDict(frozen=True, extra="forbid")
+
+ name: str
+ covers: str
+ model: str
+ litellm_model: str
+ turns: tuple[RealtimeTurn, ...] = Field(min_length=1)
+ session_model: str | None = None
+ expected: ExactExpected
+
+
class _CasesFile(BaseModel):
model_config = ConfigDict(frozen=True, extra="forbid")
cost_map: dict[str, CostMapEntry]
cases: tuple[CostTrackingTestCase, ...]
+ batch_cases: tuple[BatchCostCase, ...] = ()
+ realtime_cases: tuple[RealtimeCostCase, ...] = ()
_PROVIDER_PREFIXES: Final[Mapping[str, str]] = MappingProxyType(
@@ -357,18 +528,25 @@ _LITELLM_PARAMS: Final[Mapping[str, Mapping[str, str]]] = MappingProxyType(
_LOADED: Final = _CasesFile.model_validate_json(CASES_PATH.read_bytes())
COST_MAP: Final[Mapping[str, CostMapEntry]] = MappingProxyType(dict(_LOADED.cost_map))
CASES: Final[tuple[CostTrackingTestCase, ...]] = _LOADED.cases
-_LITELLM_MODELS: Final = tuple(case.litellm_model for case in CASES)
+BATCH_CASES: Final[tuple[BatchCostCase, ...]] = _LOADED.batch_cases
+REALTIME_CASES: Final[tuple[RealtimeCostCase, ...]] = _LOADED.realtime_cases
+_ALL_CASES: Final = CASES + BATCH_CASES + REALTIME_CASES
+_LITELLM_MODELS: Final = tuple(case.litellm_model for case in _ALL_CASES)
def data_errors() -> tuple[str, ...]:
- case_models: Final = frozenset(case.model for case in CASES)
- unknown_models: Final = sorted(case.model for case in CASES if case.model not in COST_MAP)
+ case_models: Final = frozenset(case.model for case in _ALL_CASES) | frozenset(
+ case.session_model for case in REALTIME_CASES if case.session_model is not None
+ )
+ unknown_models: Final = sorted(model for model in case_models if model not in COST_MAP)
missing_cases: Final = sorted(model for model in COST_MAP if model not in case_models)
duplicate_names: Final = sorted(
- name for name in {case.name for case in CASES} if sum(case.name == name for case in CASES) > 1
+ name for name in {case.name for case in _ALL_CASES} if sum(case.name == name for case in _ALL_CASES) > 1
)
input_rates: Final = tuple(
- (entry.input_cost_per_token, model) for model, entry in COST_MAP.items()
+ (entry.input_cost_per_token, model)
+ for model, entry in COST_MAP.items()
+ if entry.mode != "realtime"
)
shared_input_rates: Final = sorted(
f"{rate}: {tuple(model for value, model in input_rates if value == rate)}"
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index 78d00f28381..d8f321890f3 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -622,6 +622,35 @@
"litellm_provider": "openai",
"mode": "embedding",
"input_cost_per_token": 1.3e-07
+ },
+ "gpt-5.4": {
+ "litellm_provider": "openai",
+ "mode": "chat",
+ "input_cost_per_token": 2.5e-06,
+ "output_cost_per_token": 1.5e-05,
+ "cache_read_input_token_cost": 2.5e-07,
+ "input_cost_per_token_batches": 1.25e-06,
+ "output_cost_per_token_batches": 7.5e-06
+ },
+ "gpt-realtime-mini-2025-12-15": {
+ "litellm_provider": "openai",
+ "mode": "realtime",
+ "input_cost_per_token": 6.0e-07,
+ "output_cost_per_token": 2.4e-06,
+ "input_cost_per_audio_token": 1.0e-05,
+ "cache_read_input_token_cost": 6.0e-08,
+ "cache_read_input_audio_token_cost": 3.0e-07,
+ "output_cost_per_audio_token": 2.0e-05
+ },
+ "gpt-realtime-2.1": {
+ "litellm_provider": "openai",
+ "mode": "realtime",
+ "input_cost_per_token": 4.0e-06,
+ "input_cost_per_audio_token": 3.2e-05,
+ "cache_read_input_token_cost": 4.0e-07,
+ "cache_read_input_audio_token_cost": 4.0e-07,
+ "output_cost_per_token": 2.4e-05,
+ "output_cost_per_audio_token": 6.4e-05
}
},
"cases": [
@@ -30020,5 +30049,194 @@
"max_completion_tokens": 30
}
}
+ ],
+ "batch_cases": [
+ {
+ "name": "gpt-5.6-batch-halved_rates_when_map_has_no_batch_keys",
+ "covers": "quota_management.spend_tracking.batch_costs.fallback_rates",
+ "model": "gpt-5.6",
+ "litellm_model": "openai/gpt-5.6",
+ "output_lines": [
+ {
+ "status_code": 200,
+ "prompt_tokens": 100,
+ "completion_tokens": 50
+ },
+ {
+ "status_code": 200,
+ "prompt_tokens": 120,
+ "completion_tokens": 30
+ },
+ {
+ "status_code": 400
+ }
+ ],
+ "expected": {
+ "spend": 0.0007525,
+ "input_cost": 0.0001925,
+ "output_cost": 0.00056,
+ "prompt_tokens": 220,
+ "completion_tokens": 80,
+ "cost_header": false
+ }
+ },
+ {
+ "name": "gpt-5.6-batch-cached_input_halved",
+ "covers": "quota_management.spend_tracking.batch_costs.cached_input",
+ "model": "gpt-5.6",
+ "litellm_model": "openai/gpt-5.6",
+ "output_lines": [
+ {
+ "status_code": 200,
+ "prompt_tokens": 100,
+ "completion_tokens": 10,
+ "cached_tokens": 40
+ }
+ ],
+ "expected": {
+ "spend": 0.000126,
+ "input_cost": 0.000056,
+ "output_cost": 0.00007,
+ "prompt_tokens": 100,
+ "completion_tokens": 10,
+ "cost_header": false
+ }
+ },
+ {
+ "name": "gpt-5.4-batch-explicit_batch_rates_bill_cached_at_batch_input_rate",
+ "covers": "quota_management.spend_tracking.batch_costs.explicit_rates",
+ "model": "gpt-5.4",
+ "litellm_model": "openai/gpt-5.4",
+ "output_lines": [
+ {
+ "status_code": 200,
+ "prompt_tokens": 100,
+ "completion_tokens": 50,
+ "cached_tokens": 40
+ },
+ {
+ "status_code": 200,
+ "prompt_tokens": 120,
+ "completion_tokens": 30
+ }
+ ],
+ "expected": {
+ "spend": 0.000875,
+ "input_cost": 0.000275,
+ "output_cost": 0.0006,
+ "prompt_tokens": 220,
+ "completion_tokens": 80,
+ "cost_header": false
+ }
+ },
+ {
+ "name": "gpt-5.6-batch-all_requests_failed_zero_spend",
+ "covers": "quota_management.spend_tracking.batch_costs.failed_requests",
+ "model": "gpt-5.6",
+ "litellm_model": "openai/gpt-5.6",
+ "output_lines": [
+ {
+ "status_code": 400
+ },
+ {
+ "status_code": 400
+ }
+ ],
+ "expected": {
+ "spend": 0.0,
+ "input_cost": 0.0,
+ "output_cost": 0.0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0,
+ "cost_header": false
+ }
+ }
+ ],
+ "realtime_cases": [
+ {
+ "name": "gpt-realtime-mini-2025-12-15-realtime-single_turn_text_audio_cached",
+ "covers": "quota_management.spend_tracking.realtime_costs.single_turn",
+ "model": "gpt-realtime-mini-2025-12-15",
+ "litellm_model": "openai/gpt-realtime-mini-2025-12-15",
+ "turns": [
+ {
+ "input_tokens": 150,
+ "output_tokens": 100,
+ "input_text_tokens": 70,
+ "input_audio_tokens": 80,
+ "input_cached_tokens": 20,
+ "output_text_tokens": 40,
+ "output_audio_tokens": 60
+ }
+ ],
+ "expected": {
+ "spend": 0.0021272,
+ "input_cost": 0.0008312,
+ "output_cost": 0.001296,
+ "prompt_tokens": 150,
+ "completion_tokens": 100,
+ "cost_header": false
+ }
+ },
+ {
+ "name": "gpt-realtime-mini-2025-12-15-realtime-two_turns_summed_into_one_row",
+ "covers": "quota_management.spend_tracking.realtime_costs.multiple_turns",
+ "model": "gpt-realtime-mini-2025-12-15",
+ "litellm_model": "openai/gpt-realtime-mini-2025-12-15",
+ "turns": [
+ {
+ "input_tokens": 150,
+ "output_tokens": 100,
+ "input_text_tokens": 70,
+ "input_audio_tokens": 80,
+ "input_cached_tokens": 20,
+ "output_text_tokens": 40,
+ "output_audio_tokens": 60
+ },
+ {
+ "input_tokens": 100,
+ "output_tokens": 50,
+ "input_text_tokens": 100,
+ "input_audio_tokens": 0,
+ "input_cached_tokens": 0,
+ "output_text_tokens": 50,
+ "output_audio_tokens": 0
+ }
+ ],
+ "expected": {
+ "spend": 0.0023072,
+ "input_cost": 0.0008912,
+ "output_cost": 0.001416,
+ "prompt_tokens": 250,
+ "completion_tokens": 150,
+ "cost_header": false
+ }
+ },
+ {
+ "name": "gpt-realtime-mini-2025-12-15-realtime-priced_from_session_created_model",
+ "covers": "quota_management.spend_tracking.realtime_costs.session_model",
+ "model": "gpt-realtime-mini-2025-12-15",
+ "litellm_model": "openai/gpt-realtime-mini-2025-12-15",
+ "session_model": "gpt-realtime-2.1",
+ "turns": [
+ {
+ "input_tokens": 150,
+ "output_tokens": 100,
+ "input_text_tokens": 70,
+ "input_audio_tokens": 80,
+ "input_cached_tokens": 20,
+ "output_text_tokens": 40,
+ "output_audio_tokens": 60
+ }
+ ],
+ "expected": {
+ "spend": 0.007568,
+ "input_cost": 0.002768,
+ "output_cost": 0.0048,
+ "prompt_tokens": 150,
+ "completion_tokens": 100,
+ "cost_header": false
+ }
+ }
]
}
diff --git a/tests/integration/cost_calculation/test_batch_realtime_cost.py b/tests/integration/cost_calculation/test_batch_realtime_cost.py
new file mode 100644
index 00000000000..9db25db32e8
--- /dev/null
+++ b/tests/integration/cost_calculation/test_batch_realtime_cost.py
@@ -0,0 +1,288 @@
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+import os
+import time
+from hashlib import sha256
+from typing import Final
+
+import httpx
+import pytest
+import websockets
+from integration._support.client import JSON_OBJECT, Gateway, Scenario, object_value, string_value
+from integration._support.upstream import delete_scenario, register_scenario
+from integration.cost_calculation.assertions import assert_exact
+from integration.cost_calculation.conftest import CostRow, poll_rows, read_rows_now
+from integration.cost_calculation.cost_tracking_case import (
+ BATCH_CASES,
+ REALTIME_CASES,
+ BatchCostCase,
+ JsonResponse,
+ RealtimeCostCase,
+ RealtimeResponse,
+ RoutedResponse,
+ TextResponse,
+)
+from pydantic import JsonValue
+
+
+def _register_deployment(
+ scenario: Scenario,
+ litellm_model: str,
+ response: JsonResponse | TextResponse | RealtimeResponse,
+ marker: str,
+ *,
+ realtime: bool,
+) -> tuple[str, str]:
+ scenario_id: Final = f"cost-{marker}-{sha256(os.urandom(16)).hexdigest()[:12]}"
+ handle: Final = register_scenario(scenario_id, response)
+ scenario.cleanups.callback(delete_scenario, handle)
+ control_url: Final = os.environ["INTEGRATION_UPSTREAM_URL"].rstrip("/")
+ created: Final = scenario.gateway.post(
+ "/model/new",
+ JSON_OBJECT.validate_python(
+ {
+ "model_name": f"cost-{marker}-{sha256(scenario_id.encode()).hexdigest()[:12]}",
+ "litellm_params": {
+ "model": litellm_model,
+ "api_key": scenario_id if realtime else "sk-scripted-provider",
+ "api_base": control_url if realtime else handle.api_base(),
+ },
+ }
+ ),
+ )
+ identity: Final = string_value(object_value(created["model_info"])["id"])
+ scenario.cleanups.callback(scenario.delete_model, identity)
+ return string_value(created["model_name"]), identity
+
+
+def _batch_response(case: BatchCostCase) -> JsonResponse | RoutedResponse:
+ request_id: Final = "$REQUEST_ID"
+ lines: Final = tuple(
+ json.dumps(line.render(index, case.model, request_id), separators=(",", ":"))
+ for index, line in enumerate(case.output_lines, start=1)
+ )
+ counts: Final = {
+ "total": case.request_count,
+ "completed": case.completed_count,
+ "failed": case.failed_count,
+ }
+ completed: Final = len(case.output_lines) > 0
+ batch: Final = {
+ "id": "batch-$REQUEST_ID",
+ "object": "batch",
+ "endpoint": "/v1/chat/completions",
+ "errors": None,
+ "input_file_id": "file-in-$REQUEST_ID",
+ "completion_window": "24h",
+ "status": "completed" if completed else "completed",
+ "output_file_id": "file-out-$REQUEST_ID" if completed else None,
+ "error_file_id": None if completed else "file-err-$REQUEST_ID",
+ "created_at": 1,
+ "in_progress_at": 1,
+ "completed_at": 1,
+ "expires_at": 1,
+ "request_counts": counts,
+ "metadata": None,
+ }
+ return RoutedResponse(
+ content_type="application/x-routed",
+ routes={
+ "POST /files": JsonResponse(
+ content_type="application/json",
+ body={
+ "id": "file-in-$REQUEST_ID",
+ "object": "file",
+ "purpose": "batch",
+ "bytes": 100,
+ "created_at": 1,
+ "filename": "in.jsonl",
+ "status": "processed",
+ },
+ ),
+ "POST /batches": JsonResponse(
+ content_type="application/json",
+ body={
+ **batch,
+ "status": "validating",
+ "output_file_id": None,
+ "error_file_id": None,
+ },
+ ),
+ "GET /batches/batch-$REQUEST_ID": JsonResponse(
+ content_type="application/json",
+ body=batch,
+ ),
+ "GET /files/file-out-$REQUEST_ID/content": TextResponse(
+ content_type="application/jsonl",
+ body="\n".join(lines) + ("\n" if lines else ""),
+ ),
+ },
+ )
+
+
+def _batch_input_lines(case: BatchCostCase, model_name: str) -> bytes:
+ count: Final = case.request_count
+ return (
+ "\n".join(
+ json.dumps(
+ {
+ "custom_id": f"r{index}",
+ "method": "POST",
+ "url": "/v1/chat/completions",
+ "body": {
+ "model": model_name,
+ "messages": [{"role": "user", "content": "batch integration"}],
+ },
+ },
+ separators=(",", ":"),
+ )
+ for index in range(1, count + 1)
+ )
+ + "\n"
+ ).encode()
+
+
+@pytest.mark.parametrize(
+ "case",
+ tuple(pytest.param(case, marks=pytest.mark.covers(case.covers), id=case.name) for case in BATCH_CASES),
+)
+def test_batch_costs(gateway: Gateway, case: BatchCostCase) -> None:
+ with gateway.scenario() as scenario:
+ key: Final = scenario.key()
+ model_name, identity = _register_deployment(
+ scenario,
+ case.litellm_model,
+ _batch_response(case),
+ case.name,
+ realtime=False,
+ )
+ file_response: Final = gateway.request_multipart(
+ "/v1/files",
+ {"purpose": "batch", "model": model_name},
+ {"file": ("in.jsonl", _batch_input_lines(case, model_name), "application/jsonl")},
+ key=key,
+ )
+ assert file_response.is_success, file_response.text
+ file_body: Final = JSON_OBJECT.validate_json(file_response.content)
+ time.sleep(2)
+ file_rows: Final = read_rows_now(key)
+ if file_rows:
+ assert all(row.spend == 0.0 for row in file_rows)
+ logging.info("file creation rows: %s", file_rows)
+ batch_response: Final = gateway.request(
+ "POST",
+ "/v1/batches",
+ {
+ "input_file_id": string_value(file_body["id"]),
+ "endpoint": "/v1/chat/completions",
+ "completion_window": "24h",
+ "model": model_name,
+ },
+ key=key,
+ )
+ assert batch_response.is_success, batch_response.text
+ batch_body: Final = JSON_OBJECT.validate_json(batch_response.content)
+ batch_id: Final = string_value(batch_body["id"])
+ first_retrieval: Final = gateway.request("GET", f"/v1/batches/{batch_id}", key=key)
+ second_retrieval: Final = gateway.request("GET", f"/v1/batches/{batch_id}", key=key)
+ assert first_retrieval.is_success, first_retrieval.text
+ assert second_retrieval.is_success, second_retrieval.text
+ rows: tuple[CostRow, ...]
+ if case.output_lines:
+ rows = poll_rows(key, 1)
+ else:
+ time.sleep(5)
+ rows = read_rows_now(key)
+ if not rows:
+ logging.info("%s: completed failed batch produced no SpendLogs row", case.name)
+ return
+ retrieval_rows: Final = tuple(row for row in rows if row.call_type == "aretrieve_batch")
+ assert len(retrieval_rows) == 1
+ row: Final = retrieval_rows[0]
+ assert row.status == "success"
+ assert row.call_type == "aretrieve_batch"
+ assert row.model_id == identity
+ assert_exact(case.name, "application/json", case.expected, row, second_retrieval)
+ time.sleep(3)
+ assert len(tuple(row for row in read_rows_now(key) if row.call_type == "aretrieve_batch")) == 1
+
+
+def _realtime_response(case: RealtimeCostCase) -> RealtimeResponse:
+ return RealtimeResponse(
+ content_type="application/x-realtime",
+ session_model=case.session_model,
+ events=tuple(turn.render(index, "$REQUEST_ID") for index, turn in enumerate(case.turns, start=1)),
+ )
+
+
+async def _run_realtime(url: str, key: str, model_name: str, turn_count: int) -> dict[str, JsonValue]:
+ async with websockets.connect(
+ f"{url.replace('http://', 'ws://').replace('https://', 'wss://')}/v1/realtime?model={model_name}",
+ additional_headers={"Authorization": f"Bearer {key}"},
+ ) as websocket:
+ session: Final = JSON_OBJECT.validate_json(await websocket.recv())
+ for _ in range(turn_count):
+ await websocket.send(json.dumps({"type": "response.create"}))
+ while True:
+ event: Final = JSON_OBJECT.validate_json(await websocket.recv())
+ if event.get("type") == "response.done":
+ break
+ return session
+
+
+@pytest.mark.parametrize(
+ "case",
+ tuple(pytest.param(case, marks=pytest.mark.covers(case.covers), id=case.name) for case in REALTIME_CASES),
+)
+def test_realtime_costs(gateway: Gateway, case: RealtimeCostCase) -> None:
+ with gateway.scenario() as scenario:
+ key: Final = scenario.key()
+ model_name, identity = _register_deployment(
+ scenario,
+ case.litellm_model,
+ _realtime_response(case),
+ case.name,
+ realtime=True,
+ )
+ session: Final = asyncio.run(
+ _run_realtime(
+ os.environ["INTEGRATION_PROXY_URL"].rstrip("/"),
+ key,
+ model_name,
+ len(case.turns),
+ )
+ )
+ session_model: Final = object_value(session["session"])["model"]
+ assert session_model == (case.session_model or case.model)
+ row: Final = poll_rows(key, 1)[0]
+ assert row.status == "success"
+ assert row.call_type == "_arealtime"
+ assert row.model_id == identity
+ assert_exact(case.name, "application/json", case.expected, row, httpx.Response(200))
+
+
+@pytest.mark.covers("quota_management.spend_tracking.realtime_costs.no_turn_probe")
+def test_realtime_no_turn_probe(gateway: Gateway) -> None:
+ with gateway.scenario() as scenario:
+ key: Final = scenario.key()
+ model_name, _identity = _register_deployment(
+ scenario,
+ "openai/gpt-realtime-mini-2025-12-15",
+ RealtimeResponse(content_type="application/x-realtime", events=()),
+ "realtime-no-turn",
+ realtime=True,
+ )
+ asyncio.run(
+ _run_realtime(
+ os.environ["INTEGRATION_PROXY_URL"].rstrip("/"),
+ key,
+ model_name,
+ 0,
+ )
+ )
+ time.sleep(3)
+ rows: Final = read_rows_now(key)
+ logging.info("realtime no-turn probe rows=%s spend=%s", len(rows), rows[0].spend if rows else None)
diff --git a/tests/integration/cost_calculation/test_cost_tracking.py b/tests/integration/cost_calculation/test_cost_tracking.py
index f2057067c67..3c5d44c79b8 100644
--- a/tests/integration/cost_calculation/test_cost_tracking.py
+++ b/tests/integration/cost_calculation/test_cost_tracking.py
@@ -3,27 +3,23 @@
from __future__ import annotations
import io
-from itertools import islice
import json
-from hashlib import sha256
import struct
import time
-from typing import Final, cast
import uuid
import wave
import zlib
+from hashlib import sha256
+from itertools import islice
+from typing import Final, cast
import httpx
import pytest
-from pydantic import JsonValue
-
from integration._support.client import JSON_OBJECT, Gateway
from integration._support.upstream import delete_scenario, register_scenario
+from integration.cost_calculation.assertions import assert_exact, assert_recount
from integration.cost_calculation.conftest import (
- CostBreakdown,
- CostRow,
approx_equal,
- assert_total_is_sum_of_components,
poll_cost_row,
poll_failure_row,
poll_rollups,
@@ -32,14 +28,15 @@ from integration.cost_calculation.conftest import (
register_scenario_deployment,
)
from integration.cost_calculation.cost_tracking_case import (
- BinaryResponse,
CASES,
+ BinaryResponse,
CostTrackingTestCase,
ExactExpected,
FailureExpected,
RecountExpected,
data_errors,
)
+from pydantic import JsonValue
if _data_errors := data_errors():
raise ValueError("\n".join(_data_errors))
@@ -115,135 +112,6 @@ def _replace_model(value: JsonValue, model_name: str) -> JsonValue:
return value
-def _assert_breakdown(
- case: CostTrackingTestCase,
- expected: ExactExpected,
- breakdown: CostBreakdown,
- response: httpx.Response,
-) -> None:
- assert breakdown.input_cost is not None and approx_equal(breakdown.input_cost, expected.input_cost), (
- f"{case.name}: input_cost {breakdown.input_cost} != expected {expected.input_cost}"
- )
- assert breakdown.output_cost is not None and approx_equal(breakdown.output_cost, expected.output_cost), (
- f"{case.name}: output_cost {breakdown.output_cost} != expected {expected.output_cost}"
- )
- for field, header_name, actual_component, expected_component in (
- (
- "cache_read_cost",
- "x-litellm-response-cost-cache-read",
- breakdown.cache_read_cost,
- expected.cache_read_cost,
- ),
- (
- "cache_creation_cost",
- "x-litellm-response-cost-cache-creation",
- breakdown.cache_creation_cost,
- expected.cache_creation_cost,
- ),
- (
- "reasoning_cost",
- "x-litellm-response-cost-reasoning",
- breakdown.reasoning_cost,
- expected.reasoning_cost,
- ),
- (
- "tool_usage_cost",
- "x-litellm-response-cost-tool-usage",
- breakdown.tool_usage_cost,
- expected.tool_usage_cost,
- ),
- ):
- if expected_component is None:
- continue
- omitted_component_allowed: Final = expected_component == 0.0
- assert (actual_component is None and omitted_component_allowed) or (
- actual_component is not None and approx_equal(actual_component, expected_component)
- ), f"{case.name}: {field} {actual_component} != expected {expected_component}"
- if expected.cost_header and case.response.content_type == "application/json":
- header: Final = response.headers.get(header_name)
- assert (header is None and omitted_component_allowed) or (
- header is not None and approx_equal(float(header), expected_component)
- ), f"{case.name}: {header_name} {header} != expected {expected_component}"
- if expected.cost_header and case.response.content_type == "application/json" and any(
- component is not None
- for component in (
- expected.cache_read_cost,
- expected.cache_creation_cost,
- expected.reasoning_cost,
- expected.tool_usage_cost,
- )
- ):
- input_header: Final = response.headers.get("x-litellm-response-cost-input")
- output_header: Final = response.headers.get("x-litellm-response-cost-output")
- expected_input_header: Final = expected.input_cost - (
- expected.cache_read_cost or 0.0
- ) - (expected.cache_creation_cost or 0.0)
- assert input_header is not None and approx_equal(float(input_header), expected_input_header), (
- f"{case.name}: x-litellm-response-cost-input {input_header} != expected {expected_input_header}"
- )
- assert output_header is not None and approx_equal(float(output_header), expected.output_cost), (
- f"{case.name}: x-litellm-response-cost-output {output_header} != expected {expected.output_cost}"
- )
-
-
-def _assert_exact(
- case: CostTrackingTestCase,
- expected: ExactExpected,
- row: CostRow,
- response: httpx.Response,
-) -> None:
- assert row.spend is not None and approx_equal(row.spend, expected.spend), (
- f"{case.name}: spend {row.spend} != expected {expected.spend} "
- f"(breakdown {row.breakdown.model_dump() if row.breakdown is not None else None})"
- )
- breakdown: Final = row.breakdown
- if expected.breakdown_persisted:
- assert breakdown is not None, f"{case.name}: no cost_breakdown persisted"
- if breakdown is not None:
- _assert_breakdown(case, expected, breakdown, response)
- assert row.prompt_tokens == expected.prompt_tokens, (
- f"{case.name}: prompt_tokens {row.prompt_tokens} != expected {expected.prompt_tokens}"
- )
- assert row.completion_tokens == expected.completion_tokens, (
- f"{case.name}: completion_tokens {row.completion_tokens} != expected {expected.completion_tokens}"
- )
- if breakdown is not None:
- assert_total_is_sum_of_components(row, breakdown, case.name)
-
-
-def _assert_recount(case: CostTrackingTestCase, expected: RecountExpected, row: CostRow) -> None:
- assert row.prompt_tokens is not None and row.prompt_tokens > 0, (
- f"{case.name}: recount case counted no input tokens: prompt_tokens={row.prompt_tokens}"
- )
- assert row.completion_tokens is not None and row.completion_tokens > 0, (
- f"{case.name}: recount case counted no output tokens: completion_tokens={row.completion_tokens}"
- )
- if expected.prompt_tokens is not None:
- assert row.prompt_tokens == expected.prompt_tokens, (
- f"{case.name}: prompt_tokens {row.prompt_tokens} != pinned {expected.prompt_tokens}"
- )
- if expected.completion_tokens is not None:
- assert row.completion_tokens == expected.completion_tokens, (
- f"{case.name}: completion_tokens {row.completion_tokens} != pinned {expected.completion_tokens}"
- )
- if expected.min_completion_tokens is not None:
- assert row.completion_tokens >= expected.min_completion_tokens, (
- f"{case.name}: completion_tokens {row.completion_tokens} < minimum {expected.min_completion_tokens}"
- )
- if expected.max_completion_tokens is not None:
- assert row.completion_tokens <= expected.max_completion_tokens, (
- f"{case.name}: completion_tokens {row.completion_tokens} > maximum {expected.max_completion_tokens}"
- )
- recount: Final = row.prompt_tokens * expected.recount.input_cost_per_token + (
- row.completion_tokens * expected.recount.output_cost_per_token
- )
- assert row.spend is not None and approx_equal(row.spend, recount), (
- f"{case.name}: spend {row.spend} != recount {recount} at map rates"
- )
- assert row.breakdown is not None, f"{case.name}: no cost_breakdown persisted"
- assert_total_is_sum_of_components(row, row.breakdown, case.name)
-
-
@pytest.mark.parametrize("case", _CASES)
def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase) -> None:
marker: Final = sha256(case.name.encode()).hexdigest()[:12]
@@ -356,7 +224,7 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
row: Final = poll_cost_row(key)
assert isinstance(expected, RecountExpected)
assert row.status == "success", f"{case.name}: disconnect row status was {row.status}"
- _assert_recount(case, expected, row)
+ assert_recount(case.name, expected, row)
return
responses: Final = tuple(
(
@@ -385,7 +253,7 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
rows: Final = poll_rows(key, len(responses))
if isinstance(expected, RecountExpected):
row: Final = rows[0]
- _assert_recount(case, expected, row)
+ assert_recount(case.name, expected, row)
return
assert isinstance(expected, ExactExpected)
if fallback_deployment is not None:
@@ -412,7 +280,7 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
)
for row in rows:
- _assert_exact(case, expected, row, response)
+ assert_exact(case.name, case.response.content_type, expected, row, response)
if expected.rollups:
assert deployment is not None and team_id is not None and user_id is not None
assert end_user_id is not None
From 94b2fd827b4ea2678fa88ac0788e948f3b899348 Mon Sep 17 00:00:00 2001
From: Tin Chi Lo
Date: Sat, 19 Sep 2026 17:02:56 -0700
Subject: [PATCH 108/246] feat(ui): show prompt caching requests and net
savings
---
backend/routes/allowlist.py | 1 +
.../prompt_caching_requests.py | 184 ++++++++++
litellm/proxy/proxy_server.py | 4 +
litellm/proxy/spend_tracking/savings.py | 75 ++--
.../prompt_caching_requests.py | 35 ++
.../test_prompt_caching_requests.py | 321 ++++++++++++++++++
.../proxy/spend_tracking/test_savings.py | 37 ++
.../_components/CacheLeakageCard.tsx | 6 +-
.../CostOptimizationView.activity.test.tsx | 1 +
...tCachingRequestsTable.integration.test.tsx | 248 ++++++++++++++
.../PromptCachingRequestsTable.tsx | 186 ++++++++++
.../_components/PromptCachingTab.test.tsx | 23 +-
.../_components/PromptCachingTab.tsx | 7 +
ui/litellm-dashboard/src/lib/http/schema.d.ts | 95 ++++++
14 files changed, 1195 insertions(+), 28 deletions(-)
create mode 100644 litellm/proxy/management_endpoints/prompt_caching_requests.py
create mode 100644 litellm/types/management_endpoints/prompt_caching_requests.py
create mode 100644 tests/test_litellm/proxy/management_endpoints/test_prompt_caching_requests.py
create mode 100644 ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingRequestsTable.integration.test.tsx
create mode 100644 ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingRequestsTable.tsx
diff --git a/backend/routes/allowlist.py b/backend/routes/allowlist.py
index 00c4e0070e6..c7f389c36a4 100644
--- a/backend/routes/allowlist.py
+++ b/backend/routes/allowlist.py
@@ -51,6 +51,7 @@ BACKEND_PATH_PREFIXES: tuple[str, ...] = (
"/cache_settings",
"/coordination_redis/",
"/cost_tracking",
+ "/cost_optimization/",
"/cost/",
"/credentials",
"/credential",
diff --git a/litellm/proxy/management_endpoints/prompt_caching_requests.py b/litellm/proxy/management_endpoints/prompt_caching_requests.py
new file mode 100644
index 00000000000..41255bd49b8
--- /dev/null
+++ b/litellm/proxy/management_endpoints/prompt_caching_requests.py
@@ -0,0 +1,184 @@
+from collections.abc import Callable, Mapping
+from datetime import datetime, timezone
+from types import MappingProxyType
+from typing import TYPE_CHECKING, Annotated, Final
+
+from fastapi import APIRouter, Depends, HTTPException, Query
+from pydantic import BaseModel, Json, TypeAdapter
+
+from litellm.proxy._types import CommonProxyErrors, UserAPIKeyAuth, user_api_key_has_admin_view
+from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+from litellm.proxy.spend_tracking.savings import (
+ extract_cache_creation_tokens,
+ extract_cache_read_tokens,
+ marks_gateway_injection,
+ prompt_caching_savings_for_request,
+)
+from litellm.proxy.spend_tracking.spend_tracking_utils import (
+ _query_raw_rows, # pyright: ignore[reportPrivateUsage] # existing typed spend-query adapter; rows validated below
+)
+from litellm.types.integrations.anthropic_cache_control_hook import GATEWAY_INJECTED_CACHE_METADATA_KEY
+from litellm.types.management_endpoints.prompt_caching_requests import (
+ PromptCachingRequest,
+ PromptCachingRequestCursor,
+ PromptCachingRequestFilter,
+ PromptCachingRequestsResponse,
+)
+
+if TYPE_CHECKING:
+ from litellm.router import Router
+
+router: Final = APIRouter()
+
+
+def _numeric_token_sql(path: str) -> str:
+ value: Final = f"metadata #> '{{usage_object,{path}}}'"
+ return (
+ f"CASE WHEN jsonb_typeof({value}) = 'number' THEN ({value} #>> '{{}}')::numeric "
+ f"WHEN {value} = 'true'::jsonb THEN 1 WHEN {value} = 'false'::jsonb THEN 0 END"
+ )
+
+
+def _cache_tokens_sql(*paths: str) -> str:
+ candidates: Final = ", ".join(f"NULLIF(({_numeric_token_sql(path)}), 0)" for path in paths)
+ return f"TRUNC(COALESCE({candidates}, 0))"
+
+
+_CACHE_READ_SQL: Final = _cache_tokens_sql("cache_read_input_tokens", "prompt_tokens_details,cached_tokens")
+_CACHE_CREATION_SQL: Final = _cache_tokens_sql(
+ "cache_creation_input_tokens",
+ "prompt_tokens_details,cache_write_tokens",
+ "prompt_tokens_details,cache_creation_tokens",
+)
+_GATEWAY_INJECTED_SQL: Final = (
+ f"(jsonb_typeof(metadata->'{GATEWAY_INJECTED_CACHE_METADATA_KEY}') = 'string' "
+ f"AND (metadata->>'{GATEWAY_INJECTED_CACHE_METADATA_KEY}' = '' "
+ f"OR metadata->>'{GATEWAY_INJECTED_CACHE_METADATA_KEY}' = model_id))"
+)
+_FILTER_SQL: Final = MappingProxyType(
+ {
+ "all": f"({_GATEWAY_INJECTED_SQL} OR {_CACHE_READ_SQL} > 0 OR {_CACHE_CREATION_SQL} > 0)",
+ "injected": _GATEWAY_INJECTED_SQL,
+ "hits": f"{_CACHE_READ_SQL} > 0",
+ }
+)
+
+
+def prompt_caching_requests_sql(filter: PromptCachingRequestFilter) -> str:
+ return f"""
+ SELECT request_id, "startTime" AS start_time, "endTime" AS end_time,
+ model, model_id, custom_llm_provider, spend,
+ CASE WHEN jsonb_typeof(metadata->'usage_object') = 'object'
+ THEN metadata->'usage_object' END AS usage_object,
+ CASE WHEN jsonb_typeof(metadata->'cost_breakdown') = 'object'
+ THEN metadata->'cost_breakdown' END AS cost_breakdown,
+ CASE WHEN jsonb_typeof(metadata->'{GATEWAY_INJECTED_CACHE_METADATA_KEY}') = 'string'
+ THEN metadata->>'{GATEWAY_INJECTED_CACHE_METADATA_KEY}' END AS gateway_marker
+ FROM "LiteLLM_SpendLogs"
+ WHERE "startTime" >= ($1::text::timestamptz AT TIME ZONE 'UTC')
+ AND "startTime" <= ($2::text::timestamptz AT TIME ZONE 'UTC')
+ AND COALESCE(LOWER(cache_hit), 'false') != 'true'
+ AND {_FILTER_SQL[filter]}
+ AND ($4::text::timestamptz IS NULL OR
+ ("startTime", request_id) < (($4::text::timestamptz AT TIME ZONE 'UTC'), $5::text))
+ ORDER BY "startTime" DESC, request_id DESC
+ LIMIT $3::integer
+ """
+
+
+class _PromptCachingRow(BaseModel):
+ request_id: str
+ start_time: datetime
+ end_time: datetime
+ model: str
+ model_id: str | None
+ custom_llm_provider: str | None
+ spend: float
+ usage_object: Json[Mapping[str, object]] | Mapping[str, object] | None
+ cost_breakdown: Json[Mapping[str, object]] | Mapping[str, object] | None
+ gateway_marker: str | None
+
+
+_REQUEST_ROWS: Final = TypeAdapter(tuple[_PromptCachingRow, ...])
+
+
+def _request_result(row: _PromptCachingRow, llm_router: "Callable[[], Router | None]") -> PromptCachingRequest:
+ return PromptCachingRequest(
+ request_id=row.request_id,
+ start_time=row.start_time.replace(tzinfo=timezone.utc) if row.start_time.tzinfo is None else row.start_time,
+ model=row.model,
+ gateway_injected=marks_gateway_injection(
+ MappingProxyType({GATEWAY_INJECTED_CACHE_METADATA_KEY: row.gateway_marker}), row.model_id
+ ),
+ cache_read_tokens=extract_cache_read_tokens(row.usage_object),
+ cache_creation_tokens=extract_cache_creation_tokens(row.usage_object),
+ spend=row.spend,
+ net_savings=prompt_caching_savings_for_request(
+ model=row.model,
+ custom_llm_provider=row.custom_llm_provider,
+ usage_object=row.usage_object,
+ model_id=row.model_id,
+ llm_router=llm_router,
+ cost_breakdown=row.cost_breakdown,
+ billed_at=row.end_time,
+ ),
+ )
+
+
+@router.get(
+ "/cost_optimization/prompt_caching/requests",
+ tags=["Cost Optimization"], # mutable-ok: FastAPI's route API requires a list
+ response_model=PromptCachingRequestsResponse,
+)
+async def get_prompt_caching_requests(
+ user_api_key_dict: Annotated[UserAPIKeyAuth, Depends(user_api_key_auth)],
+ start_date: datetime,
+ end_date: datetime,
+ page_size: Annotated[int, Query(ge=1, le=100)] = 50,
+ filter: PromptCachingRequestFilter = "all",
+ cursor_start_time: datetime | None = None,
+ cursor_request_id: Annotated[str | None, Query(min_length=1)] = None,
+) -> PromptCachingRequestsResponse:
+ from litellm.proxy.proxy_server import llm_router, prisma_client
+
+ if not user_api_key_has_admin_view(user_api_key_dict):
+ raise HTTPException(status_code=403, detail="Only proxy admin roles can view prompt caching requests")
+ if (cursor_start_time is None) != (cursor_request_id is None):
+ raise HTTPException(status_code=400, detail="cursor_start_time and cursor_request_id must be provided together")
+ if prisma_client is None:
+ raise HTTPException(status_code=500, detail=CommonProxyErrors.db_not_connected_error.value)
+ start: Final = start_date.replace(tzinfo=timezone.utc) if start_date.tzinfo is None else start_date
+ end: Final = end_date.replace(tzinfo=timezone.utc) if end_date.tzinfo is None else end_date
+ if end < start:
+ raise HTTPException(status_code=400, detail="end_date must not be earlier than start_date")
+ cursor_time: Final = (
+ cursor_start_time.replace(tzinfo=timezone.utc)
+ if cursor_start_time is not None and cursor_start_time.tzinfo is None
+ else cursor_start_time
+ )
+ rows: Final = _REQUEST_ROWS.validate_python(
+ await _query_raw_rows(
+ prisma_client,
+ prompt_caching_requests_sql(filter),
+ start.isoformat(),
+ end.isoformat(),
+ page_size + 1,
+ cursor_time.isoformat() if cursor_time is not None else None,
+ cursor_request_id,
+ )
+ or ()
+ )
+
+ def current_router() -> "Router | None":
+ return llm_router
+
+ requests: Final = tuple(_request_result(row, current_router) for row in rows[:page_size])
+ has_more: Final = len(rows) > page_size
+ return PromptCachingRequestsResponse(
+ requests=requests,
+ page_size=page_size,
+ has_more=has_more,
+ next_cursor=PromptCachingRequestCursor(start_time=requests[-1].start_time, request_id=requests[-1].request_id)
+ if has_more
+ else None,
+ )
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index af25d418a63..f4a56e225cc 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -587,6 +587,9 @@ from litellm.proxy.management_endpoints.model_management_endpoints import (
from litellm.proxy.management_endpoints.organization_endpoints import (
router as organization_router,
)
+from litellm.proxy.management_endpoints.prompt_caching_requests import (
+ router as prompt_caching_requests_router,
+)
from litellm.proxy.management_endpoints.router_settings_endpoints import (
router as router_settings_router,
)
@@ -19183,6 +19186,7 @@ app.include_router(workflow_management_router)
app.include_router(memory_router)
app.include_router(plugin_router)
app.include_router(cost_tracking_settings_router)
+app.include_router(prompt_caching_requests_router)
app.include_router(router_settings_router)
app.include_router(fallback_management_router)
app.include_router(cache_settings_router)
diff --git a/litellm/proxy/spend_tracking/savings.py b/litellm/proxy/spend_tracking/savings.py
index b7a2ac62844..fbcf9c78d3e 100644
--- a/litellm/proxy/spend_tracking/savings.py
+++ b/litellm/proxy/spend_tracking/savings.py
@@ -578,6 +578,56 @@ def autorouter_savings_for_logging_payload(
)
+def _request_savings_pricing(
+ model: str | None,
+ custom_llm_provider: str | None,
+ model_id: str | None,
+ llm_router: "Callable[[], Router | None] | None",
+) -> tuple[str | None, ModelInfo | None]:
+ router_instance: Final = llm_router() if llm_router else None
+ identity: Final = _resolve_model(model, custom_llm_provider)
+ pricing: Final = _effective_model_info(router_instance, model_id, model or "") or (
+ _model_info(identity) if identity else None
+ )
+ return identity.provider if identity else custom_llm_provider, pricing
+
+
+def _prompt_caching_savings(
+ pricing: ModelInfo | None,
+ provider: str | None,
+ usage_object: Mapping[str, object] | None,
+ cost_breakdown: Mapping[str, object] | None,
+ billed_at: datetime | str | None,
+) -> float | None:
+ usage: Final = _usage_from_spend_log(usage_object)
+ if pricing is None or usage is None:
+ return None
+ basis: Final = _pricing_basis(cost_breakdown)
+ result: Final = calculate_prompt_caching_savings(
+ model_info=pricing,
+ usage=usage,
+ custom_llm_provider=provider,
+ service_tier=basis.service_tier,
+ data_residency=basis.data_residency,
+ vertex_location=basis.vertex_location,
+ billed_at=_coerce_billed_at(billed_at),
+ )
+ return result if isfinite(result) else None
+
+
+def prompt_caching_savings_for_request(
+ model: str | None,
+ custom_llm_provider: str | None,
+ usage_object: Mapping[str, object] | None,
+ model_id: str | None = None,
+ llm_router: "Callable[[], Router | None] | None" = None,
+ cost_breakdown: Mapping[str, object] | None = None,
+ billed_at: datetime | str | None = None,
+) -> float | None:
+ request_pricing: Final = _request_savings_pricing(model, custom_llm_provider, model_id, llm_router)
+ return _prompt_caching_savings(request_pricing[1], request_pricing[0], usage_object, cost_breakdown, billed_at)
+
+
def compute_savings_spend(
model: str | None,
custom_llm_provider: str | None,
@@ -639,29 +689,12 @@ def compute_savings_spend(
# Deployment rates when the request came through one, public rates otherwise --
# `_effective_model_info` merges a deployment's configured prices over the built-in
# map, so a negotiated price is not silently replaced by the list rate.
- router_instance: Router | None = llm_router() if llm_router else None
- identity: Final = _resolve_model(model, custom_llm_provider)
- pricing: Final = _effective_model_info(router_instance, model_id, model or "") or (
- _model_info(identity) if identity else None
- )
+ request_pricing: Final = _request_savings_pricing(model, custom_llm_provider, model_id, llm_router)
+ provider: Final = request_pricing[0]
+ pricing: Final = request_pricing[1]
input_cost: Final = (_get_cost_per_unit(pricing, "input_cost_per_token") or 0.0) if pricing else 0.0
compression: Final = max(compression_saved_tokens, 0) * input_cost
- usage: Final = _usage_from_spend_log(usage_object)
- basis: Final = _pricing_basis(cost_breakdown)
- billed_at_datetime: Final = _coerce_billed_at(billed_at)
- prompt_caching: Final = (
- calculate_prompt_caching_savings(
- model_info=pricing,
- usage=usage,
- custom_llm_provider=identity.provider if identity else custom_llm_provider,
- service_tier=basis.service_tier,
- data_residency=basis.data_residency,
- vertex_location=basis.vertex_location,
- billed_at=billed_at_datetime,
- )
- if pricing is not None and usage is not None
- else 0.0
- )
+ prompt_caching: Final = _prompt_caching_savings(pricing, provider, usage_object, cost_breakdown, billed_at) or 0.0
gateway_injected_caching: Final = prompt_caching if gateway_injected_cache else 0.0
# The figure the logging path recorded wins, before the usage gate on purpose: a row
diff --git a/litellm/types/management_endpoints/prompt_caching_requests.py b/litellm/types/management_endpoints/prompt_caching_requests.py
new file mode 100644
index 00000000000..e72183a113b
--- /dev/null
+++ b/litellm/types/management_endpoints/prompt_caching_requests.py
@@ -0,0 +1,35 @@
+from datetime import datetime
+from typing import Literal, TypeAlias
+
+from pydantic import BaseModel, ConfigDict
+
+PromptCachingRequestFilter: TypeAlias = Literal["all", "injected", "hits"]
+
+
+class PromptCachingRequest(BaseModel):
+ model_config = ConfigDict(frozen=True)
+
+ request_id: str
+ start_time: datetime
+ model: str
+ gateway_injected: bool
+ cache_read_tokens: int
+ cache_creation_tokens: int
+ spend: float
+ net_savings: float | None
+
+
+class PromptCachingRequestCursor(BaseModel):
+ model_config = ConfigDict(frozen=True)
+
+ start_time: datetime
+ request_id: str
+
+
+class PromptCachingRequestsResponse(BaseModel):
+ model_config = ConfigDict(frozen=True)
+
+ requests: tuple[PromptCachingRequest, ...]
+ page_size: int
+ has_more: bool
+ next_cursor: PromptCachingRequestCursor | None
diff --git a/tests/test_litellm/proxy/management_endpoints/test_prompt_caching_requests.py b/tests/test_litellm/proxy/management_endpoints/test_prompt_caching_requests.py
new file mode 100644
index 00000000000..0995de6c39d
--- /dev/null
+++ b/tests/test_litellm/proxy/management_endpoints/test_prompt_caching_requests.py
@@ -0,0 +1,321 @@
+import json
+from collections.abc import AsyncIterator, Mapping
+from dataclasses import dataclass
+from datetime import datetime, timedelta, timezone
+from types import SimpleNamespace
+from typing import Final
+
+import httpx
+import psycopg
+import pytest
+import pytest_asyncio
+from fastapi import FastAPI
+from prisma import Prisma
+from pydantic import TypeAdapter
+from pytest_postgresql import factories
+
+from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
+from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+from litellm.proxy.management_endpoints.prompt_caching_requests import router
+from litellm.proxy.spend_tracking.savings import (
+ extract_cache_creation_tokens,
+ extract_cache_read_tokens,
+ marks_gateway_injection,
+)
+from litellm.types.management_endpoints.prompt_caching_requests import (
+ PromptCachingRequestFilter,
+ PromptCachingRequestsResponse,
+)
+
+pytestmark = pytest.mark.usefixtures("local_model_cost_map")
+
+_cache_postgresql_proc: Final = factories.postgresql_proc() # pyright: ignore[reportUnknownMemberType] # third-party fixture factory has incomplete callable types
+_cache_postgresql: Final = factories.postgresql("_cache_postgresql_proc")
+_JSON_OBJECT: Final = TypeAdapter(Mapping[str, object])
+_JSON_ROWS: Final = TypeAdapter(tuple[Mapping[str, object], ...])
+_START: Final = "2026-09-01T00:00:00Z"
+_END: Final = "2026-09-02T00:00:00Z"
+_URL: Final = "/cost_optimization/prompt_caching/requests"
+_MODEL: Final = "claude-sonnet-5"
+_MARKER: Final = "litellm_gateway_injected_cache"
+_DDL: Final = """
+ CREATE TABLE "LiteLLM_SpendLogs" (
+ request_id TEXT PRIMARY KEY, "startTime" TIMESTAMP, "endTime" TIMESTAMP,
+ model TEXT, model_id TEXT, custom_llm_provider TEXT, spend DOUBLE PRECISION,
+ metadata JSONB, cache_hit TEXT
+ )
+"""
+
+
+@dataclass(frozen=True)
+class _Case:
+ request_id: str
+ metadata: Mapping[str, object]
+ cache_hit: str | None = None
+ start_time: datetime = datetime(2026, 9, 1, 12, 0, 0, 123456)
+
+ def matches(self, filter: PromptCachingRequestFilter) -> bool:
+ if self.cache_hit is not None and self.cache_hit.lower() == "true":
+ return False
+ if not datetime(2026, 9, 1) <= self.start_time <= datetime(2026, 9, 2):
+ return False
+ usage: Final = self.metadata.get("usage_object")
+ normalized: Final = _JSON_OBJECT.validate_python(usage) if isinstance(usage, Mapping) else None
+ injected: Final = marks_gateway_injection(self.metadata, "dep-a")
+ reads: Final = extract_cache_read_tokens(normalized)
+ writes: Final = extract_cache_creation_tokens(normalized)
+ match filter:
+ case "injected":
+ return injected
+ case "hits":
+ return reads > 0
+ case "all":
+ return injected or reads > 0 or writes > 0
+
+
+_CASES: Final = (
+ _Case("injected-empty", {_MARKER: ""}),
+ _Case("injected-deployment", {_MARKER: "dep-a"}),
+ _Case("wrong-deployment", {_MARKER: "dep-b"}),
+ _Case("legacy-read", {"usage_object": {"cache_read_input_tokens": 100}}),
+ _Case("nested-read", {"usage_object": {"prompt_tokens_details": {"cached_tokens": 100}}}),
+ _Case("write", {"usage_object": {"cache_creation_input_tokens": 100}}),
+ _Case("nested-write", {"usage_object": {"prompt_tokens_details": {"cache_write_tokens": 100}}}),
+ _Case("nested-creation", {"usage_object": {"prompt_tokens_details": {"cache_creation_tokens": 100}}}),
+ _Case(
+ "top-precedence",
+ {"usage_object": {"cache_read_input_tokens": -2, "prompt_tokens_details": {"cached_tokens": 100}}},
+ ),
+ _Case(
+ "zero-fallback",
+ {"usage_object": {"cache_read_input_tokens": 0, "prompt_tokens_details": {"cached_tokens": 100}}},
+ ),
+ _Case(
+ "fractional-precedence",
+ {"usage_object": {"cache_read_input_tokens": 0.5, "prompt_tokens_details": {"cached_tokens": 100}}},
+ ),
+ _Case("malformed-number", {"usage_object": {"cache_read_input_tokens": "100"}}),
+ _Case("malformed-container", {"usage_object": [100]}),
+ _Case("boolean-number", {"usage_object": {"cache_read_input_tokens": True}}),
+ _Case("boolean-marker", {_MARKER: True}),
+ _Case("response-cache", {_MARKER: "", "usage_object": {"cache_read_input_tokens": 100}}, "True"),
+ _Case("outside-before", {_MARKER: ""}, start_time=datetime(2026, 8, 31, 23, 59, 59)),
+ _Case(
+ "outside-after", {"usage_object": {"cache_read_input_tokens": 100}}, start_time=datetime(2026, 9, 2, 0, 0, 1)
+ ),
+)
+
+
+@pytest_asyncio.fixture(loop_scope="function")
+async def _cache_prisma(
+ _cache_postgresql: psycopg.Connection[tuple[object, ...]],
+) -> AsyncIterator[Prisma]:
+ info: Final = _cache_postgresql.info
+ database: Final = Prisma(datasource={
+ "url": f"postgresql://{info.user}@{info.host}:{info.port}/{info.dbname}?connection_limit=1",
+ })
+ await database.connect()
+ try:
+ yield database
+ finally:
+ await database.disconnect()
+
+
+def _seed(connection: psycopg.Connection[tuple[object, ...]], cases: tuple[_Case, ...] = _CASES) -> None:
+ with connection.cursor() as cursor:
+ cursor.execute(_DDL)
+ cursor.executemany(
+ """INSERT INTO "LiteLLM_SpendLogs"
+ VALUES (%s, %s, %s, %s, %s, %s, %s, %s::jsonb, %s)""",
+ tuple(
+ (
+ case.request_id,
+ case.start_time,
+ datetime(2026, 9, 1, 12, 0, 1),
+ _MODEL,
+ "dep-a",
+ "anthropic",
+ 0.01,
+ json.dumps(dict(case.metadata)),
+ case.cache_hit,
+ )
+ for case in cases
+ ),
+ )
+ connection.commit()
+
+
+def _app(role: LitellmUserRoles | None) -> FastAPI:
+ application: Final = FastAPI()
+ application.include_router(router)
+
+ def caller() -> UserAPIKeyAuth:
+ return UserAPIKeyAuth(user_role=role)
+
+ application.dependency_overrides[user_api_key_auth] = caller
+ return application
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("filter", ["all", "injected", "hits"])
+@pytest.mark.parametrize("role", [LitellmUserRoles.PROXY_ADMIN, LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY])
+async def test_request_filters_match_accounting_and_paginate_before_projection(
+ _cache_postgresql: psycopg.Connection[tuple[object, ...]],
+ _cache_prisma: Prisma,
+ monkeypatch: pytest.MonkeyPatch,
+ filter: PromptCachingRequestFilter,
+ role: LitellmUserRoles,
+) -> None:
+ from litellm.proxy import proxy_server
+
+ _seed(_cache_postgresql)
+ monkeypatch.setattr(proxy_server, "prisma_client", SimpleNamespace(db=_cache_prisma))
+ monkeypatch.setattr(proxy_server, "llm_router", None)
+ expected: Final = tuple(sorted((case.request_id for case in _CASES if case.matches(filter)), reverse=True))
+ async with httpx.AsyncClient(transport=httpx.ASGITransport(app=_app(role)), base_url="http://test") as client:
+ first: Final = await client.get(
+ _URL, params={"start_date": _START, "end_date": _END, "filter": filter, "page_size": 2}
+ )
+ assert first.status_code == 200
+ first_page: Final = PromptCachingRequestsResponse.model_validate_json(first.content)
+ assert tuple(row.request_id for row in first_page.requests) == expected[:2]
+ assert first_page.has_more is (len(expected) > 2)
+ assert (first_page.next_cursor is not None) is first_page.has_more
+ if first_page.next_cursor is not None:
+ assert first_page.next_cursor.request_id == expected[1]
+ assert first_page.next_cursor.start_time == first_page.requests[-1].start_time
+ next_response: Final = await client.get(
+ _URL, params={
+ "start_date": _START, "end_date": _END, "filter": filter, "page_size": 2,
+ "cursor_start_time": first_page.next_cursor.start_time.astimezone(
+ timezone(timedelta(hours=-7))
+ ).isoformat(),
+ "cursor_request_id": first_page.next_cursor.request_id,
+ }
+ )
+ assert next_response.status_code == 200
+ next_page: Final = PromptCachingRequestsResponse.model_validate_json(next_response.content)
+ assert tuple(row.request_id for row in next_page.requests) == expected[2:4]
+ assert next_page.has_more is (len(expected) > 4)
+ assert (next_page.next_cursor is not None) is next_page.has_more
+ second: Final = await client.get(
+ _URL, params={"start_date": _START, "end_date": _END, "filter": filter, "page_size": 100}
+ )
+ assert second.status_code == 200
+ complete: Final = PromptCachingRequestsResponse.model_validate_json(second.content)
+ assert tuple(row.request_id for row in complete.requests) == expected
+ assert complete.has_more is False
+ assert complete.next_cursor is None
+ assert all(row.start_time.tzinfo == timezone.utc for row in complete.requests)
+ payload: Final = _JSON_OBJECT.validate_json(second.content)
+ assert set(payload) == {"requests", "page_size", "has_more", "next_cursor"}
+ serialized_rows: Final = _JSON_ROWS.validate_python(payload["requests"])
+ assert set(serialized_rows[0]) == {
+ "request_id",
+ "start_time",
+ "model",
+ "gateway_injected",
+ "cache_read_tokens",
+ "cache_creation_tokens",
+ "spend",
+ "net_savings",
+ }
+ by_id: Final = {row.request_id: row for row in complete.requests}
+ if filter == "all":
+ assert by_id["injected-empty"].gateway_injected is True
+ assert by_id["injected-empty"].net_savings is None
+ assert by_id["legacy-read"].gateway_injected is False
+ assert by_id["legacy-read"].net_savings is not None and by_id["legacy-read"].net_savings > 0
+ assert by_id["write"].net_savings is not None and by_id["write"].net_savings < 0
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("role", [None, LitellmUserRoles.INTERNAL_USER, LitellmUserRoles.INTERNAL_USER_VIEW_ONLY])
+async def test_non_admin_is_denied_before_database_access(
+ role: LitellmUserRoles | None, monkeypatch: pytest.MonkeyPatch
+) -> None:
+ from litellm.proxy import proxy_server
+
+ monkeypatch.setattr(proxy_server, "prisma_client", None)
+ async with httpx.AsyncClient(transport=httpx.ASGITransport(app=_app(role)), base_url="http://test") as client:
+ response: Final = await client.get(_URL, params={"start_date": _START, "end_date": _END})
+ assert response.status_code == 403
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("params", [
+ {"filter": "savings"}, {"page_size": 0}, {"page_size": 101}, {"start_date": "invalid"},
+ {"cursor_start_time": "invalid", "cursor_request_id": "request"},
+ {"cursor_start_time": _START, "cursor_request_id": ""},
+])
+async def test_invalid_request_is_rejected(params: Mapping[str, str | int]) -> None:
+ async with httpx.AsyncClient(
+ transport=httpx.ASGITransport(app=_app(LitellmUserRoles.PROXY_ADMIN)), base_url="http://test"
+ ) as client:
+ response: Final = await client.get(_URL, params={"start_date": _START, "end_date": _END, **params})
+ assert response.status_code == 422
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("params", [{"cursor_start_time": _START}, {"cursor_request_id": "request"}])
+async def test_incomplete_cursor_is_rejected(
+ params: Mapping[str, str], monkeypatch: pytest.MonkeyPatch,
+) -> None:
+ from litellm.proxy import proxy_server
+
+ monkeypatch.setattr(proxy_server, "prisma_client", None)
+ async with httpx.AsyncClient(
+ transport=httpx.ASGITransport(app=_app(LitellmUserRoles.PROXY_ADMIN)), base_url="http://test"
+ ) as client:
+ response: Final = await client.get(_URL, params={"start_date": _START, "end_date": _END, **params})
+ assert response.status_code == 400
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("delete_before_cursor", [False, True])
+async def test_cursor_keeps_remaining_requests_once_during_insertions_and_deletions(
+ _cache_postgresql: psycopg.Connection[tuple[object, ...]],
+ _cache_prisma: Prisma,
+ monkeypatch: pytest.MonkeyPatch,
+ delete_before_cursor: bool,
+) -> None:
+ from litellm.proxy import proxy_server
+
+ cases: Final = (*_CASES, _Case(
+ "older-cache-read", {"usage_object": {"cache_read_input_tokens": 100}}, start_time=datetime(2026, 9, 1, 11),
+ ))
+ _seed(_cache_postgresql, cases)
+ monkeypatch.setattr(proxy_server, "prisma_client", SimpleNamespace(db=_cache_prisma))
+ monkeypatch.setattr(proxy_server, "llm_router", None)
+ expected: Final = (*sorted((case.request_id for case in _CASES if case.matches("all")), reverse=True), "older-cache-read")
+ async with httpx.AsyncClient(
+ transport=httpx.ASGITransport(app=_app(LitellmUserRoles.PROXY_ADMIN)), base_url="http://test"
+ ) as client:
+ first: Final = await client.get(_URL, params={"start_date": _START, "end_date": _END, "page_size": 2})
+ assert first.status_code == 200
+ first_page: Final = PromptCachingRequestsResponse.model_validate_json(first.content)
+ assert tuple(row.request_id for row in first_page.requests) == expected[:2]
+ assert first_page.next_cursor is not None
+ with _cache_postgresql.cursor() as cursor:
+ cursor.executemany(
+ """INSERT INTO "LiteLLM_SpendLogs"
+ SELECT %s, %s, "endTime", model, model_id, custom_llm_provider, spend, metadata, cache_hit
+ FROM "LiteLLM_SpendLogs" WHERE request_id = %s""",
+ (
+ ("newer-request", datetime(2026, 9, 1, 13), expected[0]),
+ ("zz-higher-id", cases[0].start_time, expected[0]),
+ ),
+ )
+ if delete_before_cursor:
+ cursor.execute('DELETE FROM "LiteLLM_SpendLogs" WHERE request_id = %s', (expected[0],))
+ _cache_postgresql.commit()
+ following: Final = await client.get(_URL, params={
+ "start_date": _START, "end_date": _END, "page_size": 100,
+ "cursor_start_time": first_page.next_cursor.start_time.isoformat(),
+ "cursor_request_id": first_page.next_cursor.request_id,
+ })
+ assert following.status_code == 200
+ following_page: Final = PromptCachingRequestsResponse.model_validate_json(following.content)
+ assert tuple(row.request_id for row in following_page.requests) == expected[2:]
+ assert following_page.has_more is False
+ assert following_page.next_cursor is None
diff --git a/tests/test_litellm/proxy/spend_tracking/test_savings.py b/tests/test_litellm/proxy/spend_tracking/test_savings.py
index aae966022e3..004f07da431 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_savings.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_savings.py
@@ -11,6 +11,7 @@ from litellm.proxy.spend_tracking.savings import (
compute_autorouter_savings,
compute_savings_spend,
marks_gateway_injection,
+ prompt_caching_savings_for_request,
)
from litellm.router import Router
from litellm.types.utils import Usage
@@ -18,6 +19,42 @@ from litellm.types.utils import Usage
pytestmark = pytest.mark.usefixtures("local_model_cost_map")
+@pytest.mark.parametrize("model,usage", [
+ (None, {"cache_read_input_tokens": 100}),
+ ("claude-sonnet-5", None),
+ ("claude-sonnet-5", {"prompt_tokens": "invalid"}),
+])
+def test_prompt_cache_estimate_distinguishes_unknown_from_zero(model: str | None, usage: dict[str, object] | None) -> None:
+ assert prompt_caching_savings_for_request(model, "anthropic", usage) is None
+ assert compute_savings_spend(model, "anthropic", 0, False, usage_object=usage).prompt_caching == 0
+ assert prompt_caching_savings_for_request("claude-sonnet-5", "anthropic", {"prompt_tokens": 100}) == 0
+
+
+def test_prompt_cache_estimate_uses_the_rollup_pricing_and_retains_write_premiums() -> None:
+ router: Final = Router(model_list=[{
+ "model_name": "negotiated",
+ "litellm_params": {
+ "model": "anthropic/claude-sonnet-5", "input_cost_per_token": 1e-6,
+ "cache_creation_input_token_cost": 1.25e-6, "cache_read_input_token_cost": 1e-7,
+ },
+ "model_info": {"id": "negotiated-cache-prices"},
+ }])
+
+ def current_router() -> Router:
+ return router
+
+ usage: Final = {"cache_read_input_tokens": 1000, "cache_creation_input_tokens": 20000}
+ estimate: Final = prompt_caching_savings_for_request(
+ "claude-sonnet-5", "anthropic", usage, model_id="negotiated-cache-prices", llm_router=current_router,
+ )
+ rollup: Final = compute_savings_spend(
+ "claude-sonnet-5", "anthropic", 0, True, usage_object=usage,
+ model_id="negotiated-cache-prices", llm_router=current_router,
+ )
+ assert estimate == pytest.approx(1000 * (1e-6 - 1e-7) - 20000 * (1.25e-6 - 1e-6))
+ assert estimate == rollup.prompt_caching == rollup.gateway_injected_caching
+
+
@pytest.mark.parametrize("modifier", [{"speed": "fast"}, {"inference_geo": "us"}])
@pytest.mark.parametrize("continuing", [False, True])
def test_baseline_preserves_anthropic_pricing_fields(modifier: dict[str, str], continuing: bool) -> None:
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/CacheLeakageCard.tsx b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/CacheLeakageCard.tsx
index a0877b04648..f5b71a00061 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/CacheLeakageCard.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/CacheLeakageCard.tsx
@@ -3,7 +3,6 @@
import React, { useMemo, useState } from "react";
import { ArrowDown, ArrowUp, ArrowUpDown, Info } from "lucide-react";
-import AdvancedDatePicker from "@/components/shared/advanced_date_picker";
import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
import { Table, TableBody, TableCell, TableHead, TableHeader, TableRow } from "@/components/ui/table";
import { Tabs, TabsList, TabsTrigger } from "@/components/ui/tabs";
@@ -81,7 +80,7 @@ const SortableHead = ({
};
const CacheLeakageCard: React.FC = ({ activity }) => {
- const { dateValue, onDateChange, results, loading, isFetchingMore, apiKeyTruncation } = activity;
+ const { results, loading, isFetchingMore, apiKeyTruncation } = activity;
const [dimension, setDimension] = useState("key");
const [sort, setSort] = useState({ column: "potentialSavings", dir: "desc" });
const leakage = useMemo(() => computeCacheLeakage(results, dimension), [results, dimension]);
@@ -111,9 +110,6 @@ const CacheLeakageCard: React.FC = ({ activity }) => {
cached token, after cache-write premiums.
-
setDimension(value === "model" ? "model" : "key")}>
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/CostOptimizationView.activity.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/CostOptimizationView.activity.test.tsx
index 03250e3e53b..f8336f5ab56 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/CostOptimizationView.activity.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/CostOptimizationView.activity.test.tsx
@@ -42,6 +42,7 @@ vi.mock("@/app/(dashboard)/router-settings/_components/general_settings", () =>
}));
vi.mock("./PromptCompressionTab", () => ({ __esModule: true, default: () =>
}));
+vi.mock("./PromptCachingRequestsTable", () => ({ default: () =>
}));
import CostOptimizationView from "./CostOptimizationView";
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingRequestsTable.integration.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingRequestsTable.integration.test.tsx
new file mode 100644
index 00000000000..833a46ce16f
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingRequestsTable.integration.test.tsx
@@ -0,0 +1,248 @@
+import { Profiler } from "react";
+import { act, fireEvent, renderWithProviders, screen, testQueryClient, waitFor, within } from "@/../tests/test-utils";
+import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
+
+import type { components } from "@/lib/http/schema";
+import PromptCachingRequestsTable from "./PromptCachingRequestsTable";
+import type { DateRange } from "./useDailyActivityRange";
+
+type CacheRequest = components["schemas"]["PromptCachingRequest"];
+type RequestsResponse = components["schemas"]["PromptCachingRequestsResponse"];
+const firstCursor = { start_time: "2026-09-01T11:59:59.123456Z", request_id: "first-boundary?&" };
+const secondCursor = { start_time: firstCursor.start_time, request_id: "second-boundary" };
+const fetchMock = vi.fn();
+const dates = { from: new Date(2026, 8, 1, 12), to: new Date(2026, 8, 2, 12) };
+const request = (overrides: Partial = {}): CacheRequest => ({
+ request_id: "request-default",
+ start_time: "2026-09-01T12:00:00Z",
+ model: "cache-test-model",
+ gateway_injected: true,
+ cache_read_tokens: 0,
+ cache_creation_tokens: 1000,
+ spend: 0.0375,
+ net_savings: -0.0075,
+ ...overrides,
+});
+const response = (requests: CacheRequest[], nextCursor: RequestsResponse["next_cursor"] = null) => {
+ const body: RequestsResponse = { requests, has_more: nextCursor !== null, next_cursor: nextCursor, page_size: 50 };
+ return Response.json(body);
+};
+const lastQuery = () => new URL(String(fetchMock.mock.calls.at(-1)?.[0]), "http://localhost").searchParams;
+
+describe("PromptCachingRequestsTable", () => {
+ beforeEach(() => {
+ fetchMock.mockReset();
+ vi.stubGlobal("fetch", fetchMock);
+ });
+
+ afterEach(() => {
+ testQueryClient.clear();
+ vi.unstubAllGlobals();
+ vi.unstubAllEnvs();
+ vi.useRealTimers();
+ });
+
+ it("separates recorded injection from cache hits, retains write premiums and unknown savings, and links each request", async () => {
+ const clientHit = {
+ request_id: "client-hit",
+ gateway_injected: false,
+ cache_read_tokens: 10000,
+ cache_creation_tokens: 0,
+ net_savings: 0.27,
+ };
+ fetchMock.mockResolvedValue(
+ response([
+ request({ request_id: "injected/write?&", net_savings: -0.0075 }),
+ request(clientHit),
+ request({ request_id: "unknown-price", net_savings: null }),
+ request({ request_id: "no-benefit", net_savings: 0 }),
+ ]),
+ );
+ renderWithProviders( );
+
+ const table = await screen.findByRole("table", { name: "Prompt caching requests" });
+ const write = within(table).getByRole("row", { name: /injected\/write/ });
+ expect(within(write).getByText("Recorded")).toBeInTheDocument();
+ expect(within(write).getByText("1,000")).toBeInTheDocument();
+ expect(within(write).getByText("$0.0375")).toBeInTheDocument();
+ expect(within(write).getByText("-$0.0075")).toBeInTheDocument();
+ expect(within(write).getByText(new Date("2026-09-01T12:00:00Z").toLocaleString())).toBeInTheDocument();
+ expect(within(write).getByText("cache-test-model")).toHaveAttribute("title", "cache-test-model");
+ expect(within(write).getByRole("link")).toHaveAttribute("href", "/ui/logs?log_id=injected%2Fwrite%3F%26");
+
+ const hit = within(table).getByRole("row", { name: /client-hit/ });
+ expect(within(hit).getByText("Not recorded")).toBeInTheDocument();
+ expect(within(hit).getByText("10,000")).toBeInTheDocument();
+ expect(within(hit).getByText("$0.2700")).toBeInTheDocument();
+ expect(within(table).getByRole("row", { name: /unknown-price/ })).toHaveTextContent("Unavailable");
+ expect(within(table).getByRole("row", { name: /no-benefit/ })).toHaveTextContent("$0.00");
+ expect(screen.getByText(/after cache-write premiums/)).toBeInTheDocument();
+ expect(lastQuery().get("start_date")).toBe("2026-09-01T00:00:00.000Z");
+ expect(lastQuery().get("end_date")).toBe("2026-09-02T23:59:59.999Z");
+ expect(fetchMock.mock.calls[0][1]?.headers).toEqual(expect.objectContaining({ Authorization: "Bearer token-a" }));
+ });
+
+ it("forwards complete server cursors, goes back to prior cursors, and clears them for each caching filter", async () => {
+ fetchMock.mockImplementation(async (input) => {
+ const query = new URL(String(input), "http://localhost").searchParams;
+ const pages = new Map([
+ [null, 1],
+ [firstCursor.request_id, 2],
+ [secondCursor.request_id, 3],
+ ]);
+ const page = pages.get(query.get("cursor_request_id"));
+ const nextCursor =
+ new Map([
+ [1, firstCursor],
+ [2, secondCursor],
+ ]).get(page ?? 0) ?? null;
+ return response([request({ request_id: `${query.get("filter")}-${page}` })], nextCursor);
+ });
+ renderWithProviders( );
+ await screen.findByRole("link", { name: "all-1" });
+ expect(screen.getByRole("button", { name: "Previous" })).toBeDisabled();
+ expect(lastQuery().has("page")).toBe(false);
+ expect(lastQuery().has("cursor_request_id")).toBe(false);
+
+ fireEvent.click(screen.getByRole("button", { name: "Next" }));
+ await screen.findByRole("link", { name: "all-2" });
+ expect(screen.getByText("Page 2")).toBeInTheDocument();
+ expect(lastQuery().get("cursor_start_time")).toBe(firstCursor.start_time);
+ expect(lastQuery().get("cursor_request_id")).toBe(firstCursor.request_id);
+ fireEvent.click(screen.getByRole("button", { name: "Next" }));
+ await screen.findByRole("link", { name: "all-3" });
+ expect(screen.getByText("Page 3")).toBeInTheDocument();
+ expect(lastQuery().get("cursor_start_time")).toBe(secondCursor.start_time);
+ expect(lastQuery().get("cursor_request_id")).toBe(secondCursor.request_id);
+ expect(screen.getByRole("button", { name: "Next" })).toBeDisabled();
+
+ await testQueryClient.invalidateQueries({ refetchType: "none" });
+ fireEvent.click(screen.getByRole("button", { name: "Previous" }));
+ await screen.findByRole("link", { name: "all-2" });
+ await waitFor(() => expect(lastQuery().get("cursor_request_id")).toBe(firstCursor.request_id));
+ expect(lastQuery().get("cursor_start_time")).toBe(firstCursor.start_time);
+ expect(screen.getByText("Page 2")).toBeInTheDocument();
+ fireEvent.click(screen.getByRole("button", { name: "Previous" }));
+ await screen.findByRole("link", { name: "all-1" });
+ await waitFor(() => expect(lastQuery().has("cursor_request_id")).toBe(false));
+ expect(lastQuery().has("cursor_start_time")).toBe(false);
+ fireEvent.click(screen.getByRole("button", { name: "Next" }));
+ await screen.findByRole("link", { name: "all-2" });
+
+ fireEvent.click(screen.getByRole("tab", { name: "LiteLLM injected" }));
+ await screen.findByRole("link", { name: "injected-1" });
+ expect(screen.queryByRole("link", { name: "all-2" })).not.toBeInTheDocument();
+ expect(lastQuery().get("filter")).toBe("injected");
+ expect(lastQuery().has("cursor_request_id")).toBe(false);
+ expect(lastQuery().has("cursor_start_time")).toBe(false);
+
+ fireEvent.click(screen.getByRole("button", { name: "Next" }));
+ await screen.findByRole("link", { name: "injected-2" });
+ fireEvent.click(screen.getByRole("tab", { name: "Cache hits" }));
+ await screen.findByRole("link", { name: "hits-1" });
+ expect(lastQuery().get("filter")).toBe("hits");
+ expect(lastQuery().get("page_size")).toBe("50");
+ expect(screen.getByText("Page 1")).toBeInTheDocument();
+ });
+
+ it("includes the current UTC day for a range ending today, matching the activity totals", async () => {
+ vi.stubEnv("TZ", "America/Los_Angeles");
+ vi.setSystemTime(new Date("2026-09-20T03:00:00Z"));
+ fetchMock.mockResolvedValue(response([]));
+ const today = { from: new Date(2026, 8, 19), to: new Date() };
+ renderWithProviders( );
+
+ await screen.findByText("No matching prompt caching requests in this range");
+ expect(lastQuery().get("start_date")).toBe("2026-09-19T00:00:00.000Z");
+ expect(lastQuery().get("end_date")).toBe("2026-09-20T23:59:59.999Z");
+ });
+
+ it.each(["date", "authentication"])(
+ "hides every old-scope frame and resets pagination when %s changes",
+ async (change) => {
+ fetchMock.mockResolvedValueOnce(response([request({ request_id: "old-first" })], firstCursor));
+ fetchMock.mockResolvedValueOnce(response([request({ request_id: "old-second" })]));
+ const committedOldRows: boolean[] = [];
+ const snapshot = () => {
+ committedOldRows.push(screen.queryByRole("link", { name: "old-second" }) !== null);
+ };
+ const tree = (accessToken: string, dateValue: DateRange) => (
+
+
+
+ );
+ const { rerender } = renderWithProviders(tree("token-a", dates));
+ await screen.findByRole("link", { name: "old-first" });
+ fireEvent.click(screen.getByRole("button", { name: "Next" }));
+ await screen.findByRole("link", { name: "old-second" });
+
+ const pending = Promise.withResolvers();
+ fetchMock.mockReturnValueOnce(pending.promise);
+ committedOldRows.length = 0;
+ rerender(
+ tree(
+ change === "authentication" ? "token-b" : "token-a",
+ change === "date" ? { ...dates, to: new Date(2026, 8, 3) } : dates,
+ ),
+ );
+
+ expect(screen.getByRole("status")).toHaveTextContent("Loading requests");
+ expect(committedOldRows.length).toBeGreaterThan(0);
+ expect(committedOldRows.every((visible) => !visible)).toBe(true);
+ expect(lastQuery().has("cursor_request_id")).toBe(false);
+ expect(lastQuery().has("cursor_start_time")).toBe(false);
+ if (change === "date") {
+ expect(lastQuery().get("end_date")).toBe("2026-09-03T23:59:59.999Z");
+ } else {
+ expect(fetchMock.mock.calls.at(-1)?.[1]?.headers).toEqual(
+ expect.objectContaining({ Authorization: "Bearer token-b" }),
+ );
+ }
+
+ pending.resolve(response([request({ request_id: "new-first" })]));
+ await screen.findByRole("link", { name: "new-first" });
+ expect(screen.getByText("Page 1")).toBeInTheDocument();
+ expect(committedOldRows.every((visible) => !visible)).toBe(true);
+ },
+ );
+
+ it("ignores a delayed response from the previous caching filter", async () => {
+ const stale = Promise.withResolvers();
+ const current = Promise.withResolvers();
+ fetchMock.mockReturnValueOnce(stale.promise).mockReturnValueOnce(current.promise);
+ renderWithProviders( );
+ fireEvent.click(screen.getByRole("tab", { name: "Cache hits" }));
+ expect(lastQuery().get("filter")).toBe("hits");
+
+ current.resolve(response([request({ request_id: "current-hit" })]));
+ await screen.findByRole("link", { name: "current-hit" });
+ await act(async () => {
+ stale.resolve(response([request({ request_id: "stale-all" })], firstCursor));
+ await stale.promise;
+ });
+
+ expect(screen.getByRole("link", { name: "current-hit" })).toBeInTheDocument();
+ expect(screen.queryByRole("link", { name: "stale-all" })).not.toBeInTheDocument();
+ expect(screen.getByRole("button", { name: "Next" })).toBeDisabled();
+ });
+
+ it("offers retry after a failed read and shows the empty state after it succeeds", async () => {
+ fetchMock.mockRejectedValueOnce(new Error("offline"));
+ fetchMock.mockResolvedValueOnce(response([]));
+ renderWithProviders( );
+
+ expect(await screen.findByRole("alert")).toHaveTextContent("Could not load prompt caching requests");
+ fireEvent.click(screen.getByRole("button", { name: "Retry" }));
+ expect(await screen.findByText("No matching prompt caching requests in this range")).toBeInTheDocument();
+ expect(screen.queryByRole("alert")).not.toBeInTheDocument();
+ expect(screen.getByRole("button", { name: "Next" })).toBeDisabled();
+ expect(fetchMock).toHaveBeenCalledTimes(2);
+ });
+
+ it("does not request data for an incomplete date range", async () => {
+ renderWithProviders( );
+ expect(screen.getByText("Select a date range to view requests")).toBeInTheDocument();
+ expect(screen.queryByRole("status")).not.toBeInTheDocument();
+ await waitFor(() => expect(fetchMock).not.toHaveBeenCalled());
+ });
+});
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingRequestsTable.tsx b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingRequestsTable.tsx
new file mode 100644
index 00000000000..29aa9252e7b
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingRequestsTable.tsx
@@ -0,0 +1,186 @@
+"use client";
+
+import { useQuery, type UseQueryOptions } from "@tanstack/react-query";
+import Link from "next/link";
+import { useState } from "react";
+
+import { apiClient } from "@/components/networking";
+import { Button } from "@/components/ui/button";
+import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
+import { Table, TableBody, TableCell, TableHead, TableHeader, TableRow } from "@/components/ui/table";
+import { Tabs, TabsList, TabsTrigger } from "@/components/ui/tabs";
+import { LOG_ID_QUERY_PARAM } from "@/components/view_logs/logDetailRouting";
+import type { paths } from "@/lib/http/schema";
+import { formatNumberWithCommas } from "@/utils/dataUtils";
+import { uiHref } from "@/utils/uiHref";
+import { usd } from "./costOptimizationUtils";
+import { benchmarksWindow as activityWindow } from "./useAutoRouterBenchmarks";
+import type { DateRange } from "./useDailyActivityRange";
+
+const REQUESTS_PATH = "/cost_optimization/prompt_caching/requests";
+type RequestsEndpoint = paths[typeof REQUESTS_PATH]["get"];
+type RequestsResponse = RequestsEndpoint["responses"][200]["content"]["application/json"];
+type RequestsQuery = NonNullable;
+type RequestFilter = NonNullable;
+type RequestCursor = RequestsResponse["next_cursor"];
+
+interface PromptCachingRequestsTableProps {
+ accessToken: string;
+ dateValue: DateRange;
+}
+
+export default function PromptCachingRequestsTable({ accessToken, dateValue }: PromptCachingRequestsTableProps) {
+ const [filter, setFilter] = useState("all");
+ const window = activityWindow(dateValue, new Date());
+ const startDate = window.start_date ? `${window.start_date}T00:00:00.000Z` : "";
+ const endDate = window.end_date ? `${window.end_date}T23:59:59.999Z` : "";
+ const scope = JSON.stringify([accessToken, startDate, endDate, filter]);
+ const [pagination, setPagination] = useState<{ scope: string; cursors: readonly RequestCursor[] }>({
+ scope,
+ cursors: [null],
+ });
+ const cursors = pagination.scope === scope ? pagination.cursors : [null];
+ const cursor = cursors.at(-1);
+ const page = cursors.length;
+
+ if (pagination.scope !== scope) {
+ setPagination({ scope, cursors: [null] });
+ }
+
+ const enabled = Boolean(accessToken && startDate && endDate);
+ const query: RequestsQuery = {
+ start_date: startDate,
+ end_date: endDate,
+ filter,
+ page_size: 50,
+ cursor_start_time: cursor?.start_time,
+ cursor_request_id: cursor?.request_id,
+ };
+ const queryOptions: UseQueryOptions = {
+ queryKey: [REQUESTS_PATH, accessToken, query],
+ queryFn: ({ signal }) => apiClient.get(REQUESTS_PATH, { accessToken, query, signal }),
+ enabled,
+ retry: false,
+ };
+ const requests = useQuery(queryOptions);
+ const nextCursor = requests.data?.next_cursor;
+
+ const changeFilter = (value: unknown) => {
+ if (value === "all" || value === "injected" || value === "hits") {
+ setFilter(value);
+ }
+ };
+
+ return (
+
+
+
+
Prompt caching requests
+
+ Requests with recorded LiteLLM injection or provider cache reads or writes. A cache hit alone does not
+ establish LiteLLM injection; older logs may not record it.
+
+
+ Net savings are estimated from logged usage and current configured pricing, after cache-write premiums.
+ Negative values mean caching cost more; unavailable means the request could not be priced.
+
+
+
+
+ All caching
+ LiteLLM injected
+ Cache hits
+
+
+
+
+ {!enabled && Select a date range to view requests
}
+ {enabled && requests.isPending && (
+
+ Loading requests...
+
+ )}
+ {enabled && requests.isError && (
+
+
Could not load prompt caching requests
+
void requests.refetch()} disabled={requests.isFetching}>
+ Retry
+
+
+ )}
+ {enabled && requests.isSuccess && (
+ <>
+ {requests.data.requests.length === 0 ? (
+
+ No matching prompt caching requests in this range
+
+ ) : (
+
+
+
+ Request
+ Model
+ LiteLLM injection
+ Cache reads
+ Cache writes
+ Actual cost
+ Net savings
+
+
+
+ {requests.data.requests.map((request) => (
+
+
+
+ {request.request_id}
+
+
+ {new Date(request.start_time).toLocaleString()}
+
+
+
+
+ {request.model}
+
+
+ {request.gateway_injected ? "Recorded" : "Not recorded"}
+ {formatNumberWithCommas(request.cache_read_tokens)}
+
+ {formatNumberWithCommas(request.cache_creation_tokens)}
+
+ {usd(request.spend)}
+
+ {request.net_savings === null ? "Unavailable" : usd(request.net_savings)}
+
+
+ ))}
+
+
+ )}
+
+ setPagination({ scope, cursors: cursors.slice(0, -1) })}
+ >
+ Previous
+
+ Page {page}
+ nextCursor && setPagination({ scope, cursors: [...cursors, nextCursor] })}
+ >
+ Next
+
+
+ >
+ )}
+
+
+ );
+}
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingTab.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingTab.test.tsx
index 66db347e70f..35464c5852e 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingTab.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingTab.test.tsx
@@ -1,4 +1,4 @@
-import { render, waitFor, screen } from "@testing-library/react";
+import { fireEvent, render, waitFor, screen } from "@testing-library/react";
import { describe, expect, it, vi } from "vitest";
const mockGetGeneralSettingsCall = vi.fn();
@@ -12,6 +12,21 @@ vi.mock("@/app/(dashboard)/router-settings/_components/general_settings", () =>
}));
const mockCacheLeakageCard = vi.fn();
+const mockRequestsTable = vi.fn();
+const nextDateRange = { from: new Date(2026, 8, 1), to: new Date(2026, 8, 2) };
+
+vi.mock("./PromptCachingRequestsTable", () => ({
+ default: (props: unknown) => {
+ mockRequestsTable(props);
+ return
;
+ },
+}));
+
+vi.mock("@/components/shared/advanced_date_picker", () => ({
+ default: ({ onValueChange }: { onValueChange: (range: typeof nextDateRange) => void }) => (
+ onValueChange(nextDateRange)}>Change caching dates
+ ),
+}));
vi.mock("./CacheLeakageCard", () => ({
__esModule: true,
@@ -24,7 +39,7 @@ vi.mock("./CacheLeakageCard", () => ({
import PromptCachingTab from "./PromptCachingTab";
describe("PromptCachingTab", () => {
- it("renders the cache leakage table alongside the caching settings", async () => {
+ it("shares the selected dates between requests and cache leakage alongside caching settings", async () => {
mockGetGeneralSettingsCall.mockResolvedValue([]);
const activity = {
@@ -42,6 +57,10 @@ describe("PromptCachingTab", () => {
expect(screen.getByTestId("caching-settings")).toBeInTheDocument();
expect(screen.getByTestId("cache-leakage-card")).toBeInTheDocument();
+ expect(screen.getByTestId("caching-requests")).toBeInTheDocument();
+ expect(mockRequestsTable).toHaveBeenCalledWith({ accessToken: "test-token", dateValue: activity.dateValue });
+ fireEvent.click(screen.getByRole("button", { name: "Change caching dates" }));
+ expect(activity.onDateChange).toHaveBeenCalledWith(nextDateRange);
await waitFor(() => expect(mockCacheLeakageCard).toHaveBeenCalledWith(expect.objectContaining({ activity })));
});
});
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingTab.tsx b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingTab.tsx
index 59b38f272e0..4e43317998e 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingTab.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/cost-optimization/_components/PromptCachingTab.tsx
@@ -3,12 +3,14 @@
import React, { useCallback, useEffect, useState } from "react";
import { getGeneralSettingsCall } from "@/components/networking";
+import AdvancedDatePicker from "@/components/shared/advanced_date_picker";
import { toast } from "@/lib/toast";
import {
PromptCachingPanel,
generalSettingsItem,
} from "@/app/(dashboard)/router-settings/_components/general_settings";
import CacheLeakageCard from "./CacheLeakageCard";
+import PromptCachingRequestsTable from "./PromptCachingRequestsTable";
import { DailyActivityRange } from "./useDailyActivityRange";
interface PromptCachingTabProps {
@@ -48,6 +50,11 @@ const PromptCachingTab: React.FC = ({ accessToken, activi
return (
+
+
Date range for requests and cache leakage
+
+
+
);
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 81580c8bfb1..d916509c06f 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -3534,6 +3534,23 @@ export interface paths {
patch?: never;
trace?: never;
};
+ "/cost_optimization/prompt_caching/requests": {
+ parameters: {
+ query?: never;
+ header?: never;
+ path?: never;
+ cookie?: never;
+ };
+ /** Get Prompt Caching Requests */
+ get: operations["get_prompt_caching_requests_cost_optimization_prompt_caching_requests_get"];
+ put?: never;
+ post?: never;
+ delete?: never;
+ options?: never;
+ head?: never;
+ patch?: never;
+ trace?: never;
+ };
"/credentials": {
parameters: {
query?: never;
@@ -35814,6 +35831,48 @@ export interface components {
prompt_id: string;
prompt_info?: components["schemas"]["PromptInfo"] | null;
};
+ /** PromptCachingRequest */
+ PromptCachingRequest: {
+ /** Cache Creation Tokens */
+ cache_creation_tokens: number;
+ /** Cache Read Tokens */
+ cache_read_tokens: number;
+ /** Gateway Injected */
+ gateway_injected: boolean;
+ /** Model */
+ model: string;
+ /** Net Savings */
+ net_savings: number | null;
+ /** Request Id */
+ request_id: string;
+ /** Spend */
+ spend: number;
+ /**
+ * Start Time
+ * Format: date-time
+ */
+ start_time: string;
+ };
+ /** PromptCachingRequestCursor */
+ PromptCachingRequestCursor: {
+ /** Request Id */
+ request_id: string;
+ /**
+ * Start Time
+ * Format: date-time
+ */
+ start_time: string;
+ };
+ /** PromptCachingRequestsResponse */
+ PromptCachingRequestsResponse: {
+ /** Has More */
+ has_more: boolean;
+ next_cursor: components["schemas"]["PromptCachingRequestCursor"] | null;
+ /** Page Size */
+ page_size: number;
+ /** Requests */
+ requests: components["schemas"]["PromptCachingRequest"][];
+ };
/** PromptInfo */
PromptInfo: {
/**
@@ -47238,6 +47297,42 @@ export interface operations {
};
};
};
+ get_prompt_caching_requests_cost_optimization_prompt_caching_requests_get: {
+ parameters: {
+ query: {
+ start_date: string;
+ end_date: string;
+ page_size?: number;
+ filter?: "all" | "injected" | "hits";
+ cursor_start_time?: string | null;
+ cursor_request_id?: string | null;
+ };
+ header?: never;
+ path?: never;
+ cookie?: never;
+ };
+ requestBody?: never;
+ responses: {
+ /** @description Successful Response */
+ 200: {
+ headers: {
+ [name: string]: unknown;
+ };
+ content: {
+ "application/json": components["schemas"]["PromptCachingRequestsResponse"];
+ };
+ };
+ /** @description Validation Error */
+ 422: {
+ headers: {
+ [name: string]: unknown;
+ };
+ content: {
+ "application/json": components["schemas"]["HTTPValidationError"];
+ };
+ };
+ };
+ };
get_credentials_credentials_get: {
parameters: {
query?: never;
From 2e16cd76c1bdd6e33f0be1a83e89ed381ea597e3 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sun, 20 Sep 2026 01:29:46 +0000
Subject: [PATCH 109/246] test(integration): tighten batch and realtime cost
assertions
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
tests/integration/contracts.json | 4 +-
.../cost_calculation/assertions.py | 10 ++--
.../cost_calculation/cost_tracking_case.py | 21 +++++---
.../cost_calculation/cost_tracking_cases.json | 16 ++++++
.../test_batch_realtime_cost.py | 52 +++----------------
5 files changed, 46 insertions(+), 57 deletions(-)
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index 195c7ba4ab4..f49feff9e93 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -247,8 +247,8 @@
"tests/integration/cost_calculation/test_batch_realtime_cost.py::test_realtime_costs[gpt-realtime-mini-2025-12-15-realtime-priced_from_session_created_model]": [
"quota_management.spend_tracking.realtime_costs.session_model"
],
- "tests/integration/cost_calculation/test_batch_realtime_cost.py::test_realtime_no_turn_probe": [
- "quota_management.spend_tracking.realtime_costs.no_turn_probe"
+ "tests/integration/cost_calculation/test_batch_realtime_cost.py::test_realtime_costs[gpt-realtime-mini-2025-12-15-realtime-session_without_turns_zero_spend]": [
+ "quota_management.spend_tracking.realtime_costs.session_without_turns"
],
"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[anthropic.claude-sonnet-5-v1:0-cache_read]": [
"quota_management.spend_tracking.cost_matrix.logs_cost"
diff --git a/tests/integration/cost_calculation/assertions.py b/tests/integration/cost_calculation/assertions.py
index b0b9057dd9d..58a0fe99aab 100644
--- a/tests/integration/cost_calculation/assertions.py
+++ b/tests/integration/cost_calculation/assertions.py
@@ -15,8 +15,10 @@ def assert_breakdown(
response_content_type: str,
expected: ExactExpected,
breakdown: CostBreakdown,
- response: httpx.Response,
+ response: httpx.Response | None,
) -> None:
+ if response is None:
+ assert not expected.cost_header, f"{case_name}: cost headers require an HTTP response"
assert breakdown.input_cost is not None and approx_equal(breakdown.input_cost, expected.input_cost), (
f"{case_name}: input_cost {breakdown.input_cost} != expected {expected.input_cost}"
)
@@ -55,12 +57,12 @@ def assert_breakdown(
assert (actual_component is None and omitted_component_allowed) or (
actual_component is not None and approx_equal(actual_component, expected_component)
), f"{case_name}: {field} {actual_component} != expected {expected_component}"
- if expected.cost_header and response_content_type == "application/json":
+ if response is not None and expected.cost_header and response_content_type == "application/json":
header: str | None = response.headers.get(header_name)
assert (header is None and omitted_component_allowed) or (
header is not None and approx_equal(float(header), expected_component)
), f"{case_name}: {header_name} {header} != expected {expected_component}"
- if expected.cost_header and response_content_type == "application/json" and any(
+ if response is not None and expected.cost_header and response_content_type == "application/json" and any(
component is not None
for component in (
expected.cache_read_cost,
@@ -87,7 +89,7 @@ def assert_exact(
response_content_type: str,
expected: ExactExpected,
row: CostRow,
- response: httpx.Response,
+ response: httpx.Response | None,
) -> None:
assert row.spend is not None and approx_equal(row.spend, expected.spend), (
f"{case_name}: spend {row.spend} != expected {expected.spend} "
diff --git a/tests/integration/cost_calculation/cost_tracking_case.py b/tests/integration/cost_calculation/cost_tracking_case.py
index 0e75b0c23b1..ad3de61d946 100644
--- a/tests/integration/cost_calculation/cost_tracking_case.py
+++ b/tests/integration/cost_calculation/cost_tracking_case.py
@@ -324,6 +324,12 @@ class BatchOutputLine(BaseModel):
raise ValueError("status_code must be 200 or a 4xx status")
return value
+ @model_validator(mode="after")
+ def validate_success_tokens(self) -> BatchOutputLine:
+ if self.status_code == 200 and (self.prompt_tokens is None or self.completion_tokens is None):
+ raise ValueError("successful batch output lines require prompt and completion tokens")
+ return self
+
def render(self, index: int, model: str, request_id: str) -> dict[str, JsonValue]:
if self.status_code != 200:
return {
@@ -332,15 +338,18 @@ class BatchOutputLine(BaseModel):
"response": None,
"error": {"code": "bad_request", "message": "failed"},
}
- assert self.prompt_tokens is not None
- assert self.completion_tokens is not None
- usage: dict[str, JsonValue] = {
+ if self.prompt_tokens is None or self.completion_tokens is None:
+ raise ValueError("successful batch output lines require prompt and completion tokens")
+ usage: Final = {
"prompt_tokens": self.prompt_tokens,
"completion_tokens": self.completion_tokens,
"total_tokens": self.prompt_tokens + self.completion_tokens,
+ **(
+ {"prompt_tokens_details": {"cached_tokens": self.cached_tokens}}
+ if self.cached_tokens is not None
+ else {}
+ ),
}
- if self.cached_tokens is not None:
- usage["prompt_tokens_details"] = {"cached_tokens": self.cached_tokens}
return {
"id": f"batch_req_{index}",
"custom_id": f"r{index}",
@@ -447,7 +456,7 @@ class RealtimeCostCase(BaseModel):
covers: str
model: str
litellm_model: str
- turns: tuple[RealtimeTurn, ...] = Field(min_length=1)
+ turns: tuple[RealtimeTurn, ...] = Field(min_length=0)
session_model: str | None = None
expected: ExactExpected
diff --git a/tests/integration/cost_calculation/cost_tracking_cases.json b/tests/integration/cost_calculation/cost_tracking_cases.json
index d8f321890f3..b86449a3263 100644
--- a/tests/integration/cost_calculation/cost_tracking_cases.json
+++ b/tests/integration/cost_calculation/cost_tracking_cases.json
@@ -30237,6 +30237,22 @@
"completion_tokens": 100,
"cost_header": false
}
+ },
+ {
+ "name": "gpt-realtime-mini-2025-12-15-realtime-session_without_turns_zero_spend",
+ "covers": "quota_management.spend_tracking.realtime_costs.session_without_turns",
+ "model": "gpt-realtime-mini-2025-12-15",
+ "litellm_model": "openai/gpt-realtime-mini-2025-12-15",
+ "turns": [],
+ "expected": {
+ "spend": 0.0,
+ "input_cost": 0.0,
+ "output_cost": 0.0,
+ "prompt_tokens": 0,
+ "completion_tokens": 0,
+ "breakdown_persisted": false,
+ "cost_header": false
+ }
}
]
}
diff --git a/tests/integration/cost_calculation/test_batch_realtime_cost.py b/tests/integration/cost_calculation/test_batch_realtime_cost.py
index 9db25db32e8..3bf807059b4 100644
--- a/tests/integration/cost_calculation/test_batch_realtime_cost.py
+++ b/tests/integration/cost_calculation/test_batch_realtime_cost.py
@@ -2,19 +2,17 @@ from __future__ import annotations
import asyncio
import json
-import logging
import os
import time
from hashlib import sha256
from typing import Final
-import httpx
import pytest
import websockets
from integration._support.client import JSON_OBJECT, Gateway, Scenario, object_value, string_value
from integration._support.upstream import delete_scenario, register_scenario
from integration.cost_calculation.assertions import assert_exact
-from integration.cost_calculation.conftest import CostRow, poll_rows, read_rows_now
+from integration.cost_calculation.conftest import poll_rows, read_rows_now
from integration.cost_calculation.cost_tracking_case import (
BATCH_CASES,
REALTIME_CASES,
@@ -69,7 +67,6 @@ def _batch_response(case: BatchCostCase) -> JsonResponse | RoutedResponse:
"completed": case.completed_count,
"failed": case.failed_count,
}
- completed: Final = len(case.output_lines) > 0
batch: Final = {
"id": "batch-$REQUEST_ID",
"object": "batch",
@@ -77,9 +74,9 @@ def _batch_response(case: BatchCostCase) -> JsonResponse | RoutedResponse:
"errors": None,
"input_file_id": "file-in-$REQUEST_ID",
"completion_window": "24h",
- "status": "completed" if completed else "completed",
- "output_file_id": "file-out-$REQUEST_ID" if completed else None,
- "error_file_id": None if completed else "file-err-$REQUEST_ID",
+ "status": "completed",
+ "output_file_id": "file-out-$REQUEST_ID" if case.output_lines else None,
+ "error_file_id": None if case.output_lines else "file-err-$REQUEST_ID",
"created_at": 1,
"in_progress_at": 1,
"completed_at": 1,
@@ -168,10 +165,6 @@ def test_batch_costs(gateway: Gateway, case: BatchCostCase) -> None:
assert file_response.is_success, file_response.text
file_body: Final = JSON_OBJECT.validate_json(file_response.content)
time.sleep(2)
- file_rows: Final = read_rows_now(key)
- if file_rows:
- assert all(row.spend == 0.0 for row in file_rows)
- logging.info("file creation rows: %s", file_rows)
batch_response: Final = gateway.request(
"POST",
"/v1/batches",
@@ -190,17 +183,10 @@ def test_batch_costs(gateway: Gateway, case: BatchCostCase) -> None:
second_retrieval: Final = gateway.request("GET", f"/v1/batches/{batch_id}", key=key)
assert first_retrieval.is_success, first_retrieval.text
assert second_retrieval.is_success, second_retrieval.text
- rows: tuple[CostRow, ...]
- if case.output_lines:
- rows = poll_rows(key, 1)
- else:
- time.sleep(5)
- rows = read_rows_now(key)
- if not rows:
- logging.info("%s: completed failed batch produced no SpendLogs row", case.name)
- return
+ rows: Final = poll_rows(key, 1)
retrieval_rows: Final = tuple(row for row in rows if row.call_type == "aretrieve_batch")
assert len(retrieval_rows) == 1
+ assert all(row.spend == 0.0 for row in rows if row.call_type != "aretrieve_batch")
row: Final = retrieval_rows[0]
assert row.status == "success"
assert row.call_type == "aretrieve_batch"
@@ -261,28 +247,4 @@ def test_realtime_costs(gateway: Gateway, case: RealtimeCostCase) -> None:
assert row.status == "success"
assert row.call_type == "_arealtime"
assert row.model_id == identity
- assert_exact(case.name, "application/json", case.expected, row, httpx.Response(200))
-
-
-@pytest.mark.covers("quota_management.spend_tracking.realtime_costs.no_turn_probe")
-def test_realtime_no_turn_probe(gateway: Gateway) -> None:
- with gateway.scenario() as scenario:
- key: Final = scenario.key()
- model_name, _identity = _register_deployment(
- scenario,
- "openai/gpt-realtime-mini-2025-12-15",
- RealtimeResponse(content_type="application/x-realtime", events=()),
- "realtime-no-turn",
- realtime=True,
- )
- asyncio.run(
- _run_realtime(
- os.environ["INTEGRATION_PROXY_URL"].rstrip("/"),
- key,
- model_name,
- 0,
- )
- )
- time.sleep(3)
- rows: Final = read_rows_now(key)
- logging.info("realtime no-turn probe rows=%s spend=%s", len(rows), rows[0].spend if rows else None)
+ assert_exact(case.name, "application/json", case.expected, row, None)
From 875f015e24219110dbad35691d80acd1c1a3c375 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 18:33:56 -0700
Subject: [PATCH 110/246] fix(token_counter): count replayed redacted_thinking
blocks so prompt_caching keeps pinning
A conversation that replays a redacted_thinking block (Anthropic redacted reasoning, or the
/v1/messages bridge's stand-in for a reasoning item that carries no summary) made
_count_content_list raise, is_prompt_caching_valid_prompt swallowed that to False, and the
prompt_caching pre-call check neither recorded nor pinned the serving deployment, so the
conversation bounced across the group and paid a cache write on every deployment. The block
now counts like a thinking block with no text: zero tokens for the encrypted payload.
---
litellm/litellm_core_utils/token_counter.py | 11 ++--
.../litellm_core_utils/test_token_counter.py | 19 +++++++
.../test_prompt_caching_deployment_check.py | 52 +++++++++++++++++++
3 files changed, 79 insertions(+), 3 deletions(-)
diff --git a/litellm/litellm_core_utils/token_counter.py b/litellm/litellm_core_utils/token_counter.py
index 6c1b7946394..bf37b1be2e4 100644
--- a/litellm/litellm_core_utils/token_counter.py
+++ b/litellm/litellm_core_utils/token_counter.py
@@ -46,6 +46,8 @@ from litellm.types.llms.openai import (
AllMessageValues,
ChatCompletionDocumentObject,
ChatCompletionNamedToolChoiceParam,
+ ChatCompletionRedactedThinkingBlock,
+ ChatCompletionThinkingBlock,
ChatCompletionToolParam,
OpenAIMessageContentListBlock,
)
@@ -854,6 +856,8 @@ def _count_content_list(
content_list: str
| Iterable[
OpenAIMessageContentListBlock
+ | ChatCompletionThinkingBlock
+ | ChatCompletionRedactedThinkingBlock
| AnthropicMessagesTextParam
| AnthropicMessagesImageParam
| AnthropicMessagesDocumentParam
@@ -898,9 +902,9 @@ def _count_content_list(
use_default_image_token_count,
default_token_count,
)
- elif c["type"] == "thinking":
+ elif c["type"] in ("thinking", "redacted_thinking"):
# Claude extended thinking content block
- # Count the thinking text and skip signature (opaque signature blob)
+ # Count the thinking text and skip the opaque blobs (signature, redacted data)
thinking_text = str(c.get("thinking", ""))
if thinking_text:
num_tokens += count_function(thinking_text)
@@ -920,7 +924,8 @@ def _count_content_list(
raise ValueError(
f"Invalid content item type: {content_type}. "
f"Expected str or dict with 'type' field "
- f"(text, image_url, image, document, file, tool_use, tool_result, thinking, tool_reference)."
+ f"(text, image_url, image, document, file, tool_use, tool_result, thinking, redacted_thinking, "
+ f"tool_reference)."
)
return num_tokens
except Exception as e:
diff --git a/tests/test_litellm/litellm_core_utils/test_token_counter.py b/tests/test_litellm/litellm_core_utils/test_token_counter.py
index ba3a6be609f..f19a8891609 100644
--- a/tests/test_litellm/litellm_core_utils/test_token_counter.py
+++ b/tests/test_litellm/litellm_core_utils/test_token_counter.py
@@ -1257,6 +1257,25 @@ def test_token_counter_with_thinking_content():
), f"Expected minimal token count for empty thinking block, got {tokens_no_thinking}"
+
+def test_token_counter_with_redacted_thinking_content():
+ """
+ A replayed redacted_thinking block (Anthropic redacted reasoning, or the /v1/messages bridge's stand-in
+ for a reasoning item with no summary) counts zero tokens for its encrypted payload, like a thinking
+ block with no text. It used to raise, which made is_prompt_caching_valid_prompt return False and the
+ prompt_caching pre-call check stop pinning the deployment that held the cached prefix.
+ """
+ model = "anthropic/claude-sonnet-4-5-20250929"
+ reply = {"type": "text", "text": "Draw from the box labeled Mixed, because that label must be wrong."}
+ redacted_block = {"type": "redacted_thinking", "data": "EqQBCkYIBRgCKkBjZ2xhc3M" * 30}
+ user_turn = {"role": "user", "content": [{"type": "text", "text": "Which box do you draw from?"}]}
+ follow_up = {"role": "user", "content": [{"type": "text", "text": "Restate that in one sentence."}]}
+
+ without_block = [user_turn, {"role": "assistant", "content": [reply]}, follow_up]
+ with_block = [user_turn, {"role": "assistant", "content": [redacted_block, reply]}, follow_up]
+
+ assert token_counter(model=model, messages=with_block) == token_counter(model=model, messages=without_block)
+
def test_token_counter_with_tool_reference_block():
"""
Regression test: a message containing an Anthropic tool-search
diff --git a/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py b/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py
index 333e7b2ff31..267109c9164 100644
--- a/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py
+++ b/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py
@@ -197,6 +197,58 @@ async def test_async_filter_deployments_narrows_for_group_whose_model_minimum_is
AUTO_CACHING_MODEL = "anthropic/claude-sonnet-4-5"
+@pytest.mark.asyncio
+async def test_replayed_redacted_thinking_block_still_records_and_pins():
+ """
+ A model that returns no reasoning summary (gpt-5.x through the /v1/messages bridge, Anthropic with
+ redacted reasoning) hands the client a `redacted_thinking` block, and the client replays it on every
+ later turn. The token count behind `is_prompt_caching_valid_prompt` raised on that block, the helper
+ swallowed it to False, and the check neither recorded the serving deployment nor pinned it, so the
+ conversation bounced across the group and paid a cache write on each deployment.
+ """
+ cache = DualCache()
+ check = PromptCachingDeploymentCheck(cache=cache)
+ model = "openai/gpt-5.6-sol"
+ deployments = _deployments(model, model, model)
+ messages = cast(
+ List[AllMessageValues],
+ [
+ *_messages(word_count=3000),
+ {
+ "role": "assistant",
+ "content": [
+ {"type": "redacted_thinking", "data": "litellm_encrypted_reasoning:" + "Z" * 400},
+ {"type": "text", "text": "Draw from the box labeled Mixed."},
+ ],
+ },
+ {"role": "user", "content": "Restate that in one sentence."},
+ ],
+ )
+
+ assert is_prompt_caching_valid_prompt(model=model, messages=messages) is True
+
+ await check.async_log_success_event(
+ kwargs={
+ "standard_logging_object": {
+ "call_type": "anthropic_messages",
+ "model": model,
+ "messages": messages,
+ "model_id": "dep-2",
+ }
+ },
+ response_obj=None,
+ start_time=None,
+ end_time=None,
+ )
+ filtered = await check.async_filter_deployments(
+ model=MODEL_GROUP_ALIAS,
+ healthy_deployments=deployments,
+ messages=messages,
+ )
+
+ assert filtered == [deployments[1]]
+
+
def _auto_caching_messages() -> List[AllMessageValues]:
"""A prompt over the model minimum that carries no client cache_control."""
return cast(
From 2c3fc4cbff831a389baa76019c1380d1827f9b11 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 18:34:23 -0700
Subject: [PATCH 111/246] test: drop narrating docstrings and wrap long lines
in the cache hook tests
---
.../test_anthropic_cache_control_hook.py | 58 ++++++-------------
1 file changed, 17 insertions(+), 41 deletions(-)
diff --git a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
index 041b00c6c70..5f9d9e5bd9f 100644
--- a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
+++ b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
@@ -1366,8 +1366,6 @@ def _count_converse_cache_points(request_body: dict) -> int:
async def test_cache_control_hook_bedrock_tool_config_point_stands_down_when_client_marks_fill_the_cap(
monkeypatch: pytest.MonkeyPatch,
):
- """The client's own four marks fill the cap, so the configured tool_config point must
- not land as a fifth cachePoint in the converse payload."""
with patch.dict(
os.environ,
{
@@ -2331,13 +2329,6 @@ class TestPerKeyEnablePromptCaching:
class TestConfiguredInjectionPointsSurviveClientMarks:
- """Configured cache_control_injection_points are an explicit instruction, so they
- apply alongside the client's own cache_control marks (LIT-7586, #40675) instead of
- standing down on them. What bounds them is Anthropic's four-block cap, which has to
- count the client's marks on messages, system, tools and the root ``cache_control``
- (LIT-4582: a client-marked tool the cap could not see produced "Found 5" 400s).
- Only the automatic defaults stand down on client marks."""
-
CONFIGURED = [{"location": "message", "role": "system"}]
TAIL_POINT = [{"location": "message", "index": -1}]
TOOL_CONFIG_POINT = [{"location": "tool_config"}]
@@ -2360,10 +2351,14 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
"function": {"name": "t", "parameters": {}},
"cache_control": {"type": "ephemeral"},
}
- MARKED_TOOL_NESTED = {"type": "function", "function": {"name": "t", "parameters": {}, "cache_control": {"type": "ephemeral"}}}
+ MARKED_TOOL_NESTED = {
+ "type": "function",
+ "function": {"name": "t", "parameters": {}, "cache_control": {"type": "ephemeral"}},
+ }
UNMARKED_TOOL = {"type": "function", "function": {"name": "t", "parameters": {}}}
MARKED_V1_TOOL = {"name": "t", "input_schema": {}, "cache_control": {"type": "ephemeral"}}
UNMARKED_V1_TOOL = {"name": "t", "input_schema": {}}
+ MARKED_SYSTEM = [{"type": "text", "text": "sys", "cache_control": EPHEMERAL}]
MARKED_TOOL_SEARCH_REGEX = {
"type": "tool_search_tool_regex_20251119",
"name": "tool_search",
@@ -2413,8 +2408,6 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
)
def test_chat_tail_point_applies_when_client_marked_the_system_block(self):
- """The issue's shape: the client caches its system prompt, the deployment is
- configured to cache the trailing turn, and both marks must reach the provider."""
messages: List[AllMessageValues] = [
{"role": "system", "content": [{"type": "text", "text": "sys", "cache_control": {"type": "ephemeral"}}]},
{"role": "user", "content": "history"},
@@ -2450,9 +2443,6 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
ids=["marked_top_level", "marked_nested_in_function", "unmarked"],
)
def test_chat_cap_counts_client_marked_tools(self, tool, injected):
- """LIT-4582 regression: the prompt-management hook never sees the tools, so the
- seeding pass has to carry the client's tool marks into the cap or a configured
- point lands as a fifth block."""
messages = [{"role": "system", "content": "sys"}, *self._marked_user_turns(3)]
params = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED)}
self._seed(params, copy.deepcopy(messages), tools=[tool])
@@ -2461,9 +2451,6 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
@pytest.mark.parametrize("tool", [MARKED_TOOL_SEARCH_REGEX, MARKED_TOOL_SEARCH_BM25], ids=["regex", "bm25"])
def test_chat_cap_ignores_marked_tool_search_tools(self, tool):
- """The chat transform strips cache_control from tool-search tools before the
- request leaves, so a client mark there never reaches the provider's cap and
- must not cost the configured point its fourth slot."""
messages = [{"role": "system", "content": "sys"}, *self._marked_user_turns(3)]
params = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED)}
self._seed(params, copy.deepcopy(messages), tools=[tool])
@@ -2472,8 +2459,6 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
@pytest.mark.parametrize("marked_turns,forwarded", [(3, ["tool_config"]), (4, [])], ids=["slot_left", "cap_full"])
def test_chat_forwards_tool_config_point_only_while_a_slot_is_left(self, marked_turns, forwarded):
- """A forwarded tool_config point becomes a Bedrock cachePoint unconditionally, so
- it stands down once the client's own marks fill the cap."""
messages = [{"role": "system", "content": "sys"}, *self._marked_user_turns(marked_turns)]
params = {"cache_control_injection_points": copy.deepcopy(self.TOOL_CONFIG_POINT)}
self._seed(params, copy.deepcopy(messages), tools=[self.UNMARKED_TOOL])
@@ -2488,8 +2473,6 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
@pytest.mark.parametrize("marked_turns,injected", [(2, 1), (3, 0)])
def test_chat_root_cache_control_reserves_a_slot(self, marked_turns, injected):
- """Anthropic's automatic caching (a top-level ``cache_control``) places one
- breakpoint of its own, so it counts toward the cap like a client mark."""
messages = [{"role": "system", "content": "sys"}, *self._marked_user_turns(marked_turns)]
root_cache_control = {"type": "ephemeral"}
params = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED), "cache_control": root_cache_control}
@@ -2505,9 +2488,6 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
assert params["cache_control_injection_points"] is configured
def test_chat_reentry_over_injected_messages_adds_no_duplicate_marks(self):
- """acompletion() re-enters completion() and interceptor sub-calls reuse the
- request kwargs, so the same configured points meet messages that already carry
- litellm's own marks; the second pass must leave them as they are."""
points = [{"location": "message", "role": "system"}, {"location": "tool_config"}]
first_params = {"cache_control_injection_points": copy.deepcopy(points)}
self._seed(first_params, copy.deepcopy(self.MARKED_MESSAGES))
@@ -2535,7 +2515,9 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
system = [{"type": "text", "text": "s", "cache_control": {"type": "ephemeral"}}]
kwargs = {"cache_control_injection_points": copy.deepcopy(self.TAIL_POINT)}
result_msgs, result_sys = self._inject(copy.deepcopy(self.V1_MESSAGES), kwargs, system=system)
- assert result_msgs == [{"role": "user", "content": [{"type": "text", "text": "hi", "cache_control": self.EPHEMERAL}]}]
+ assert result_msgs == [
+ {"role": "user", "content": [{"type": "text", "text": "hi", "cache_control": self.EPHEMERAL}]}
+ ]
assert result_sys == system
def test_v1_messages_configured_point_applies_when_tools_marked(self):
@@ -2574,8 +2556,6 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
ids=["marked_tool", "root_cache_control", "unmarked_tool"],
)
def test_chat_cap_counts_client_marks_sent_through_extra_body(self, extra_body, injected):
- """Marks a client sends inside ``extra_body`` reach the wire like any other, so
- the seeding pass has to count them or a configured point lands as a fifth block."""
messages = [{"role": "system", "content": "sys"}, *self._marked_user_turns(3)]
params = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED), "extra_body": extra_body}
self._seed(params, copy.deepcopy(messages))
@@ -2607,8 +2587,6 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
ids=["same_marked_tool_both_ways", "extra_body_unmarks", "extra_body_marks", "root_cache_control_both_ways"],
)
def test_chat_cap_counts_extra_body_fields_in_place_of_the_direct_ones(self, params, tools, marked_turns, injected):
- """``extra_body`` is merged over the request on the wire, so its ``tools`` and
- ``cache_control`` replace the direct ones rather than adding to them."""
messages = [{"role": "system", "content": "sys"}, *self._marked_user_turns(marked_turns)]
params = {"cache_control_injection_points": copy.deepcopy(self.CONFIGURED), **copy.deepcopy(params)}
self._seed(params, copy.deepcopy(messages), tools=tools)
@@ -2618,10 +2596,10 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
@pytest.mark.parametrize(
"kwargs,tools,marked_turns,expected_system",
[
- ({"extra_body": {"tools": [MARKED_V1_TOOL]}}, [MARKED_V1_TOOL], 2, [{"type": "text", "text": "sys", "cache_control": EPHEMERAL}]),
- ({"extra_body": {"tools": [UNMARKED_V1_TOOL]}}, [MARKED_V1_TOOL], 3, [{"type": "text", "text": "sys", "cache_control": EPHEMERAL}]),
+ ({"extra_body": {"tools": [MARKED_V1_TOOL]}}, [MARKED_V1_TOOL], 2, MARKED_SYSTEM),
+ ({"extra_body": {"tools": [UNMARKED_V1_TOOL]}}, [MARKED_V1_TOOL], 3, MARKED_SYSTEM),
({"extra_body": {"tools": [MARKED_V1_TOOL]}}, [UNMARKED_V1_TOOL], 3, "sys"),
- ({"extra_body": {"cache_control": EPHEMERAL}, "cache_control": EPHEMERAL}, None, 2, [{"type": "text", "text": "sys", "cache_control": EPHEMERAL}]),
+ ({"extra_body": {"cache_control": EPHEMERAL}, "cache_control": EPHEMERAL}, None, 2, MARKED_SYSTEM),
],
ids=["same_marked_tool_both_ways", "extra_body_unmarks", "extra_body_marks", "root_cache_control_both_ways"],
)
@@ -2661,11 +2639,6 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
assert kwargs["cache_control"] is root_cache_control
def test_v1_messages_reentry_flow_preserves_tool_config_remainder(self):
- """The advisor interceptor re-enters anthropic_messages() with the outer
- request's kwargs and post-injection messages. The first pass applies the
- message point and writes back the tool_config remainder; the re-entry must
- keep that remainder and add no mark even though the messages and system
- now carry litellm's own."""
points = [{"location": "message", "role": "system"}, {"location": "tool_config"}]
kwargs = {"cache_control_injection_points": copy.deepcopy(points)}
msgs1, sys1 = self._inject(copy.deepcopy(self.V1_MESSAGES), kwargs)
@@ -2910,7 +2883,9 @@ class TestOpenAIPromptCacheBreakpoint:
assert kwargs == {}
def test_v1_messages_configured_points_apply_beside_client_content_breakpoint(self):
- messages = [{"role": "user", "content": [{"type": "text", "text": "hi", "prompt_cache_breakpoint": self.EXPLICIT}]}]
+ messages = [
+ {"role": "user", "content": [{"type": "text", "text": "hi", "prompt_cache_breakpoint": self.EXPLICIT}]}
+ ]
kwargs = {"cache_control_injection_points": copy.deepcopy(self.SYSTEM_POINT)}
result, system = self._inject(messages, "sys", kwargs)
assert result == messages
@@ -2922,7 +2897,9 @@ class TestOpenAIPromptCacheBreakpoint:
messages = [{"role": "user", "content": [{"type": "text", "text": "hi"}]}]
kwargs = {"cache_control_injection_points": [{"location": "message", "index": -1}]}
result, result_system = self._inject(messages, system, kwargs)
- assert result == [{"role": "user", "content": [{"type": "text", "text": "hi", "prompt_cache_breakpoint": self.EXPLICIT}]}]
+ assert result == [
+ {"role": "user", "content": [{"type": "text", "text": "hi", "prompt_cache_breakpoint": self.EXPLICIT}]}
+ ]
assert result_system == system
assert kwargs == {"prompt_cache_options": self.EXPLICIT}
@@ -3600,7 +3577,6 @@ class TestRecordGatewayInjection:
assert kwargs["litellm_metadata"][self.KEY] == self.DEPLOYMENT
def test_configured_points_skipping_a_marked_target_record_nothing(self):
- """A configured point whose target the client already marked places nothing, so no marker lands."""
kwargs: dict = {
"litellm_metadata": {},
"cache_control_injection_points": [{"location": "message", "role": "system", "index": None}],
From 3772993032e93d283c9c0b0cf5a80909feae52f3 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 18:42:05 -0700
Subject: [PATCH 112/246] fix(anthropic_messages): only Mantle consumes
get_llm_provider's api_base
The /v1/messages handler passed the api_base get_llm_provider resolved to every
provider's native messages config, which shadowed DEEPSEEK_ANTHROPIC_API_BASE and
TENCENT_ANTHROPIC_API_BASE with the chat default and changed the azure_ai
precedence. Messages configs now opt in through uses_get_llm_provider_api_base(),
true only for Bedrock Mantle, whose region-prefixed model must resolve to a
region host before the prefix is stripped. Also registers
BedrockMantleAnthropicMessagesConfig in the lazy import registry.
---
litellm/__init__.py | 3 ++
litellm/_lazy_imports_registry.py | 5 +++
.../messages/handler.py | 6 ++-
.../anthropic_messages/transformation.py | 3 ++
.../bedrock_mantle/messages/transformation.py | 3 ++
...erimental_pass_through_messages_handler.py | 42 +++++++++++++++++++
6 files changed, 61 insertions(+), 1 deletion(-)
diff --git a/litellm/__init__.py b/litellm/__init__.py
index e17ab613dac..d2bbc107205 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -1684,6 +1684,9 @@ if TYPE_CHECKING:
from .llms.bedrock.messages.mantle_transformation import (
AmazonMantleMessagesConfig as AmazonMantleMessagesConfig,
)
+ from .llms.bedrock_mantle.messages.transformation import (
+ BedrockMantleAnthropicMessagesConfig as BedrockMantleAnthropicMessagesConfig,
+ )
from .llms.together_ai.chat import TogetherAIConfig as TogetherAIConfig
from .llms.together_ai.chat.transformation import (
TogetherAIChatConfig as TogetherAIChatConfig,
diff --git a/litellm/_lazy_imports_registry.py b/litellm/_lazy_imports_registry.py
index 9cfcb9e41f7..bca04a17250 100644
--- a/litellm/_lazy_imports_registry.py
+++ b/litellm/_lazy_imports_registry.py
@@ -176,6 +176,7 @@ LLM_CONFIG_NAMES: Final = (
"BedrockClaudePlatformMessagesConfig",
"AmazonAnthropicClaudeMessagesConfig",
"AmazonMantleMessagesConfig",
+ "BedrockMantleAnthropicMessagesConfig",
"TogetherAIConfig",
"TogetherAIChatConfig",
"NLPCloudConfig",
@@ -746,6 +747,10 @@ _LLM_CONFIGS_IMPORT_MAP: Final = {
".llms.bedrock.messages.mantle_transformation",
"AmazonMantleMessagesConfig",
),
+ "BedrockMantleAnthropicMessagesConfig": (
+ ".llms.bedrock_mantle.messages.transformation",
+ "BedrockMantleAnthropicMessagesConfig",
+ ),
"TogetherAIConfig": (".llms.together_ai.chat", "TogetherAIConfig"),
"TogetherAIChatConfig": (
".llms.together_ai.chat.transformation",
diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
index e1309ea4063..d87cb0a64f5 100644
--- a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
+++ b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
@@ -501,7 +501,6 @@ def anthropic_messages_handler(
api_base=litellm_params.api_base,
api_key=litellm_params.api_key,
)
- resolved_api_base: Final = dynamic_api_base if dynamic_api_base is not None else api_base
# Store agentic loop params in logging object for agentic hooks
# This provides original request context needed for follow-up calls
@@ -652,6 +651,11 @@ def anthropic_messages_handler(
"display": "summarized",
}
+ resolved_api_base: Final = (
+ dynamic_api_base
+ if dynamic_api_base is not None and anthropic_messages_provider_config.uses_get_llm_provider_api_base()
+ else api_base
+ )
return base_llm_http_handler.anthropic_messages_handler(
model=model,
messages=strip_provider_specific_fields_from_anthropic_messages(messages),
diff --git a/litellm/llms/base_llm/anthropic_messages/transformation.py b/litellm/llms/base_llm/anthropic_messages/transformation.py
index 8e7c22930fa..101a5e6c58c 100644
--- a/litellm/llms/base_llm/anthropic_messages/transformation.py
+++ b/litellm/llms/base_llm/anthropic_messages/transformation.py
@@ -128,6 +128,9 @@ class BaseAnthropicMessagesConfig(ABC):
"""
return True
+ def uses_get_llm_provider_api_base(self) -> bool:
+ return False
+
def get_async_streaming_response_iterator(
self,
model: str,
diff --git a/litellm/llms/bedrock_mantle/messages/transformation.py b/litellm/llms/bedrock_mantle/messages/transformation.py
index 480c09a0476..480fe82ef4c 100644
--- a/litellm/llms/bedrock_mantle/messages/transformation.py
+++ b/litellm/llms/bedrock_mantle/messages/transformation.py
@@ -61,6 +61,9 @@ class BedrockMantleAnthropicMessagesConfig(BedrockMantleAuthMixin, AmazonMantleM
def custom_llm_provider(self) -> str | None:
return "bedrock_mantle"
+ def uses_get_llm_provider_api_base(self) -> bool:
+ return True
+
def get_complete_url(
self,
api_base: str | None,
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_anthropic_experimental_pass_through_messages_handler.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_anthropic_experimental_pass_through_messages_handler.py
index 997a97c6fd3..9fa3ef153be 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_anthropic_experimental_pass_through_messages_handler.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_anthropic_experimental_pass_through_messages_handler.py
@@ -1438,3 +1438,45 @@ async def test_anthropic_messages_leaves_non_provider_failures_unmapped():
)
assert "Traceback" not in str(excinfo.value)
+
+
+def _recording_client(seen_urls: list[str]) -> AsyncHTTPHandler:
+ def record_and_answer(request: httpx.Request) -> httpx.Response:
+ seen_urls.append(str(request.url))
+ return httpx.Response(
+ 200,
+ json={
+ "id": "msg_test",
+ "type": "message",
+ "role": "assistant",
+ "model": "deepseek-chat",
+ "content": [{"type": "text", "text": "pong"}],
+ "stop_reason": "end_turn",
+ "stop_sequence": None,
+ "usage": {"input_tokens": 3, "output_tokens": 1},
+ },
+ )
+
+ upstream = AsyncHTTPHandler()
+ upstream.client = httpx.AsyncClient(transport=httpx.MockTransport(record_and_answer))
+ return upstream
+
+
+@pytest.mark.asyncio
+async def test_provider_messages_api_base_env_is_not_shadowed_by_the_chat_default(monkeypatch):
+ from litellm.llms.anthropic.experimental_pass_through.messages import handler
+
+ monkeypatch.delenv("DEEPSEEK_API_BASE", raising=False)
+ monkeypatch.setenv("DEEPSEEK_ANTHROPIC_API_BASE", "https://deepseek.internal.example/anthropic")
+ seen_urls: list[str] = []
+
+ await handler.anthropic_messages(
+ max_tokens=16,
+ messages=[{"role": "user", "content": "ping"}],
+ model="deepseek/deepseek-chat",
+ api_key="sk-test",
+ client=_recording_client(seen_urls),
+ )
+
+ assert seen_urls == ["https://deepseek.internal.example/anthropic/v1/messages"]
+
From 8d6326356d94e431f57907340c336846e56195b1 Mon Sep 17 00:00:00 2001
From: kerry
Date: Sun, 20 Sep 2026 01:46:23 +0000
Subject: [PATCH 113/246] test(integration): wait for the batch retrieval row
and drop the failed-only output file
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../integration/cost_calculation/conftest.py | 12 ++-
.../test_batch_realtime_cost.py | 82 ++++++++++---------
2 files changed, 55 insertions(+), 39 deletions(-)
diff --git a/tests/integration/cost_calculation/conftest.py b/tests/integration/cost_calculation/conftest.py
index 9c6ffe3f7d0..7a75320a70f 100644
--- a/tests/integration/cost_calculation/conftest.py
+++ b/tests/integration/cost_calculation/conftest.py
@@ -3,7 +3,7 @@ from __future__ import annotations
import functools
import json
import os
-from collections.abc import Mapping
+from collections.abc import Callable, Mapping
from dataclasses import dataclass
from hashlib import sha256
from typing import Final
@@ -134,8 +134,16 @@ def read_rows_now(key: str) -> tuple[CostRow, ...]:
def poll_rows(key: str, count: int) -> tuple[CostRow, ...]:
+ return poll_rows_where(key, count, lambda _row: True)
+
+
+def poll_rows_where(
+ key: str,
+ count: int,
+ predicate: Callable[[CostRow], bool],
+) -> tuple[CostRow, ...]:
result: Final = eventually(
- lambda: read_rows_now(key),
+ lambda: tuple(row for row in read_rows_now(key) if predicate(row)),
lambda rows: len(rows) >= count,
seconds=60,
)
diff --git a/tests/integration/cost_calculation/test_batch_realtime_cost.py b/tests/integration/cost_calculation/test_batch_realtime_cost.py
index 3bf807059b4..1941e9ad153 100644
--- a/tests/integration/cost_calculation/test_batch_realtime_cost.py
+++ b/tests/integration/cost_calculation/test_batch_realtime_cost.py
@@ -12,7 +12,7 @@ import websockets
from integration._support.client import JSON_OBJECT, Gateway, Scenario, object_value, string_value
from integration._support.upstream import delete_scenario, register_scenario
from integration.cost_calculation.assertions import assert_exact
-from integration.cost_calculation.conftest import poll_rows, read_rows_now
+from integration.cost_calculation.conftest import poll_rows, poll_rows_where, read_rows_now
from integration.cost_calculation.cost_tracking_case import (
BATCH_CASES,
REALTIME_CASES,
@@ -67,6 +67,8 @@ def _batch_response(case: BatchCostCase) -> JsonResponse | RoutedResponse:
"completed": case.completed_count,
"failed": case.failed_count,
}
+ has_output: Final = any(line.status_code == 200 for line in case.output_lines)
+ has_failed: Final = any(line.status_code != 200 for line in case.output_lines)
batch: Final = {
"id": "batch-$REQUEST_ID",
"object": "batch",
@@ -75,8 +77,8 @@ def _batch_response(case: BatchCostCase) -> JsonResponse | RoutedResponse:
"input_file_id": "file-in-$REQUEST_ID",
"completion_window": "24h",
"status": "completed",
- "output_file_id": "file-out-$REQUEST_ID" if case.output_lines else None,
- "error_file_id": None if case.output_lines else "file-err-$REQUEST_ID",
+ "output_file_id": "file-out-$REQUEST_ID" if has_output else None,
+ "error_file_id": "file-err-$REQUEST_ID" if has_failed else None,
"created_at": 1,
"in_progress_at": 1,
"completed_at": 1,
@@ -84,39 +86,46 @@ def _batch_response(case: BatchCostCase) -> JsonResponse | RoutedResponse:
"request_counts": counts,
"metadata": None,
}
+ routes: Final = {
+ "POST /files": JsonResponse(
+ content_type="application/json",
+ body={
+ "id": "file-in-$REQUEST_ID",
+ "object": "file",
+ "purpose": "batch",
+ "bytes": 100,
+ "created_at": 1,
+ "filename": "in.jsonl",
+ "status": "processed",
+ },
+ ),
+ "POST /batches": JsonResponse(
+ content_type="application/json",
+ body={
+ **batch,
+ "status": "validating",
+ "output_file_id": None,
+ "error_file_id": None,
+ },
+ ),
+ "GET /batches/batch-$REQUEST_ID": JsonResponse(
+ content_type="application/json",
+ body=batch,
+ ),
+ **(
+ {
+ "GET /files/file-out-$REQUEST_ID/content": TextResponse(
+ content_type="application/jsonl",
+ body="\n".join(lines) + ("\n" if lines else ""),
+ )
+ }
+ if has_output
+ else {}
+ ),
+ }
return RoutedResponse(
content_type="application/x-routed",
- routes={
- "POST /files": JsonResponse(
- content_type="application/json",
- body={
- "id": "file-in-$REQUEST_ID",
- "object": "file",
- "purpose": "batch",
- "bytes": 100,
- "created_at": 1,
- "filename": "in.jsonl",
- "status": "processed",
- },
- ),
- "POST /batches": JsonResponse(
- content_type="application/json",
- body={
- **batch,
- "status": "validating",
- "output_file_id": None,
- "error_file_id": None,
- },
- ),
- "GET /batches/batch-$REQUEST_ID": JsonResponse(
- content_type="application/json",
- body=batch,
- ),
- "GET /files/file-out-$REQUEST_ID/content": TextResponse(
- content_type="application/jsonl",
- body="\n".join(lines) + ("\n" if lines else ""),
- ),
- },
+ routes=routes,
)
@@ -164,7 +173,6 @@ def test_batch_costs(gateway: Gateway, case: BatchCostCase) -> None:
)
assert file_response.is_success, file_response.text
file_body: Final = JSON_OBJECT.validate_json(file_response.content)
- time.sleep(2)
batch_response: Final = gateway.request(
"POST",
"/v1/batches",
@@ -183,9 +191,9 @@ def test_batch_costs(gateway: Gateway, case: BatchCostCase) -> None:
second_retrieval: Final = gateway.request("GET", f"/v1/batches/{batch_id}", key=key)
assert first_retrieval.is_success, first_retrieval.text
assert second_retrieval.is_success, second_retrieval.text
- rows: Final = poll_rows(key, 1)
- retrieval_rows: Final = tuple(row for row in rows if row.call_type == "aretrieve_batch")
+ retrieval_rows: Final = poll_rows_where(key, 1, lambda row: row.call_type == "aretrieve_batch")
assert len(retrieval_rows) == 1
+ rows: Final = read_rows_now(key)
assert all(row.spend == 0.0 for row in rows if row.call_type != "aretrieve_batch")
row: Final = retrieval_rows[0]
assert row.status == "success"
From 827d1c99a08d4809ddbea9047cbaa1191d0730e4 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 18:48:39 -0700
Subject: [PATCH 114/246] test: type the cache hook test helpers
---
.../test_anthropic_cache_control_hook.py | 55 +++++++++++--------
1 file changed, 33 insertions(+), 22 deletions(-)
diff --git a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
index 5f9d9e5bd9f..fd62a26c354 100644
--- a/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
+++ b/tests/test_litellm/integrations/test_anthropic_cache_control_hook.py
@@ -4,10 +4,11 @@ import os
import subprocess
import sys
import textwrap
-from typing import List, Optional, Tuple
+from typing import Final, List, Optional, Tuple
from unittest.mock import MagicMock, patch
import pytest
+from pydantic import BaseModel, ConfigDict
import litellm
from litellm.integrations.anthropic_cache_control_hook import (
@@ -1334,7 +1335,7 @@ async def test_cache_control_hook_bedrock_payload_caps_with_tool_config_point(mo
client=client,
)
- request_body = json.loads(mock_post.call_args.kwargs["data"])
+ request_body = _ConverseBody.model_validate_json(mock_post.call_args.kwargs["data"])
cache_points = _count_converse_cache_points(request_body)
assert cache_points <= 4, (
@@ -1343,23 +1344,33 @@ async def test_cache_control_hook_bedrock_payload_caps_with_tool_config_point(mo
)
-def _count_converse_cache_points(request_body: dict) -> int:
- system_points = sum(
- 1 for block in request_body.get("system", []) if isinstance(block, dict) and "cachePoint" in block
+class _ConverseMessage(BaseModel):
+ model_config = ConfigDict(frozen=True)
+
+ content: tuple[dict[str, object], ...] = ()
+
+
+class _ConverseToolConfig(BaseModel):
+ model_config = ConfigDict(frozen=True)
+
+ tools: tuple[dict[str, object], ...] = ()
+
+
+class _ConverseBody(BaseModel):
+ model_config = ConfigDict(frozen=True)
+
+ system: tuple[dict[str, object], ...] = ()
+ messages: tuple[_ConverseMessage, ...] = ()
+ toolConfig: _ConverseToolConfig = _ConverseToolConfig()
+
+
+def _count_converse_cache_points(request_body: _ConverseBody) -> int:
+ blocks: Final = (
+ *request_body.system,
+ *(block for message in request_body.messages for block in message.content),
+ *request_body.toolConfig.tools,
)
- message_points = sum(
- 1
- for msg in request_body.get("messages", [])
- if isinstance(msg.get("content"), list)
- for block in msg["content"]
- if isinstance(block, dict) and "cachePoint" in block
- )
- tool_points = sum(
- 1
- for tool in request_body.get("toolConfig", {}).get("tools", [])
- if isinstance(tool, dict) and "cachePoint" in tool
- )
- return system_points + message_points + tool_points
+ return sum(1 for block in blocks if "cachePoint" in block)
@pytest.mark.asyncio
@@ -1418,10 +1429,10 @@ async def test_cache_control_hook_bedrock_tool_config_point_stands_down_when_cli
client=client,
)
- request_body = json.loads(mock_post.call_args.kwargs["data"])
+ request_body = _ConverseBody.model_validate_json(mock_post.call_args.kwargs["data"])
assert _count_converse_cache_points(request_body) == 4
- assert not any("cachePoint" in tool for tool in request_body["toolConfig"]["tools"])
+ assert not any("cachePoint" in tool for tool in request_body.toolConfig.tools)
class TestApplyToAnthropicMessagesRequest:
@@ -2371,7 +2382,7 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
}
@staticmethod
- def _marked_user_turns(count):
+ def _marked_user_turns(count: int) -> List[AllMessageValues]:
return [
{"role": "user", "content": [{"type": "text", "text": f"turn {i}", "cache_control": {"type": "ephemeral"}}]}
for i in range(count)
@@ -2386,7 +2397,7 @@ class TestConfiguredInjectionPointsSurviveClientMarks:
tools=tools,
)
- def _chat(self, params, messages):
+ def _chat(self, params: dict[str, object], messages: List[AllMessageValues]) -> List[AllMessageValues]:
_, processed, _ = AnthropicCacheControlHook().get_chat_completion_prompt(
model="claude-sonnet-4-5",
messages=messages,
From 325d17aca947c441b7a1ce0df892611d03efd84f Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 18:58:08 -0700
Subject: [PATCH 115/246] fix(litellm): keep a function tool without a body on
the chat route
A tools entry of only {"type": "function"} has nothing for the Responses
bridge to convert, and the bridge raised a 500 for it where the chat
route returns the provider's own 400. The gate now counts a tool as a
function tool only when it carries a function body or a top-level name,
on every provider the gate serves
---
litellm/main.py | 6 +++++-
tests/test_litellm/test_main.py | 29 +++++++++++++++++++++++++++++
2 files changed, 34 insertions(+), 1 deletion(-)
diff --git a/litellm/main.py b/litellm/main.py
index 93b6c730d86..24de7204a04 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -1117,7 +1117,11 @@ def responses_api_bridge_check(
# - Older GPT-5 names (e.g. ``gpt-5``, ``gpt-5.1``): bridge only when a reasoning
# summary alias is present with ``reasoning_effort`` (tools alone stay on chat).
has_function_tool: Final = any(
- (tool.get("type") == "function" if isinstance(tool, dict) else getattr(tool, "type", None) == "function")
+ (
+ tool.get("type") == "function" and (isinstance(tool.get("function"), dict) or "name" in tool)
+ if isinstance(tool, dict)
+ else getattr(tool, "type", None) == "function"
+ )
for tool in (tools or ())
)
if isinstance(reasoning_effort, dict):
diff --git a/tests/test_litellm/test_main.py b/tests/test_litellm/test_main.py
index c2b45aac488..1990b96a51b 100644
--- a/tests/test_litellm/test_main.py
+++ b/tests/test_litellm/test_main.py
@@ -1049,6 +1049,35 @@ def test_responses_api_bridge_check_gpt_5_4_flat_function_tool_routes_to_respons
assert model_info.get("mode") == "responses"
+@pytest.mark.parametrize(
+ "custom_llm_provider, model_name, api_base",
+ [
+ pytest.param("openai", "gpt-5.6", None, id="openai"),
+ pytest.param("azure_ai", "gpt-6-astra", "https://myproject.services.ai.azure.com", id="azure-ai-foundry"),
+ ],
+)
+def test_responses_api_bridge_check_function_tool_without_body_stays_chat(
+ monkeypatch, custom_llm_provider, model_name, api_base
+):
+ import litellm
+ from litellm.main import responses_api_bridge_check
+
+ monkeypatch.delenv("OPENAI_BASE_URL", raising=False)
+ monkeypatch.delenv("OPENAI_API_BASE", raising=False)
+ monkeypatch.setattr(litellm, "api_base", None)
+
+ model_info, model = responses_api_bridge_check(
+ model=model_name,
+ custom_llm_provider=custom_llm_provider,
+ tools=[{"type": "function"}],
+ reasoning_effort=None,
+ api_base=api_base,
+ )
+
+ assert model == model_name
+ assert model_info.get("mode") != "responses"
+
+
def test_responses_api_bridge_check_dict_effort_none_stays_chat():
"""The escape hatch must honor litellm's dict form: {"effort": "none"} means reasoning off."""
from litellm.main import responses_api_bridge_check
From 517fff5bb7bbbd397ad1942cba5a3a1b35e0640a Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 19:52:22 -0700
Subject: [PATCH 116/246] fix(router): keep prompt caching affinity when the
breakpoint moves
The prompt_caching pre-call check keyed a deployment pin on a hash of the
whole cacheable prefix, cache_control markers included. Agent clients
such as Claude Code move the marker to the newest user turn on every
request, so the key changed every turn, the pin never matched, and a
multi-turn session drifted across deployments and lost its provider
cache.
Hash the prefix per content block with the markers stripped, chained so
every block position has a key, and write the pin at the breakpoint
block. Lookup walks back over the last PROMPT_CACHE_LOOKBACK_POSITIONS
positions (a run of tool_use or tool_result blocks counting as one), the
same window the provider probes for a cached prefix, in one batch cache
read. Both sides hash the prefix after base64 truncation so a request
carrying raw image bytes derives the keys the success event stored.
---
litellm/constants.py | 3 +
litellm/router_utils/prompt_caching_cache.py | 250 +++++++++++-----
.../test_prompt_caching_deployment_check.py | 273 +++++++++++++++++-
3 files changed, 450 insertions(+), 76 deletions(-)
diff --git a/litellm/constants.py b/litellm/constants.py
index bbeb4846e27..e4576ad4d5c 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -399,6 +399,9 @@ MINIMUM_PROMPT_CACHE_TOKEN_COUNT: Final = (
if MINIMUM_PROMPT_CACHE_TOKEN_COUNT_OVERRIDE is not None
else DEFAULT_MINIMUM_PROMPT_CACHE_TOKEN_COUNT
)
+# Anthropic checks at most 20 block positions behind a breakpoint for a cached prefix, a run of tool_use
+# or tool_result blocks counting as one position, so deployment affinity probes the same window
+PROMPT_CACHE_LOOKBACK_POSITIONS: Final = 20
DEFAULT_TRIM_RATIO: Final = float(
os.getenv("DEFAULT_TRIM_RATIO", 0.75)
) # default ratio of tokens to trim from the end of a prompt
diff --git a/litellm/router_utils/prompt_caching_cache.py b/litellm/router_utils/prompt_caching_cache.py
index 39708e168f5..0b784e1fa91 100644
--- a/litellm/router_utils/prompt_caching_cache.py
+++ b/litellm/router_utils/prompt_caching_cache.py
@@ -4,12 +4,21 @@ Wrapper around router cache. Meant to store model id when prompt caching support
import hashlib
import json
+from collections.abc import Iterable, Mapping, Sequence
+from dataclasses import dataclass
+from itertools import accumulate
from typing import TYPE_CHECKING, Any, Final, cast
+from pydantic import JsonValue, TypeAdapter
+from pydantic_core import to_jsonable_python
from typing_extensions import TypedDict
from litellm.caching.caching import DualCache
-from litellm.caching.in_memory_cache import InMemoryCache
+from litellm.constants import PROMPT_CACHE_LOOKBACK_POSITIONS
+from litellm.litellm_core_utils.logging_utils import (
+ truncate_base64_in_messages,
+ truncate_base64_in_messages_async,
+)
from litellm.types.llms.openai import AllMessageValues, ChatCompletionToolParam
if TYPE_CHECKING:
@@ -28,10 +37,100 @@ class PromptCachingCacheValue(TypedDict):
model_id: str
+PROMPT_CACHE_PIN_TTL_SECONDS: Final = 300
+_TOOL_RUN_BLOCK_TYPES: Final = frozenset({"tool_use", "tool_result"})
+_PREFIX_ADAPTER: Final = TypeAdapter(tuple[Mapping[str, JsonValue], ...])
+_TOOLS_ADAPTER: Final = TypeAdapter(tuple[JsonValue, ...])
+_PINS_ADAPTER: Final[TypeAdapter[tuple[JsonValue, ...] | None]] = TypeAdapter(tuple[JsonValue, ...] | None)
+
+
+@dataclass(frozen=True, slots=True)
+class PrefixPosition:
+ cache_key: str
+ position: int
+
+
+def _sorted_pairs(pairs: Iterable[tuple[str, JsonValue]]) -> tuple[tuple[str, JsonValue], ...]:
+ return tuple(sorted(pairs, key=lambda pair: pair[0]))
+
+
+def _canonical_bytes(value: object) -> bytes:
+ return json.dumps(value, sort_keys=True, separators=(",", ":")).encode()
+
+
+def _block_unit(
+ envelope: tuple[tuple[str, JsonValue], ...], message_run_type: str | None, block: JsonValue
+) -> tuple[bytes, str | None]:
+ if not isinstance(block, dict):
+ return _canonical_bytes((envelope, block)), message_run_type
+ block_type: Final = block.get("type")
+ block_run_type: Final = block_type if isinstance(block_type, str) and block_type in _TOOL_RUN_BLOCK_TYPES else None
+ stripped: Final = _sorted_pairs(item for item in block.items() if item[0] != "cache_control")
+ return _canonical_bytes((envelope, stripped)), message_run_type or block_run_type
+
+
+def _message_units(message: Mapping[str, JsonValue]) -> tuple[tuple[bytes, str | None], ...]:
+ envelope: Final = _sorted_pairs(item for item in message.items() if item[0] not in ("content", "cache_control"))
+ message_run_type: Final = "tool_result" if message.get("role") == "tool" else None
+ content: Final = message.get("content")
+ if isinstance(content, list) and content:
+ return tuple(_block_unit(envelope, message_run_type, block) for block in content)
+ if isinstance(content, str) and content:
+ return ((_canonical_bytes((envelope, (("text", content), ("type", "text")))), message_run_type),)
+ return ((_canonical_bytes((envelope, None)), message_run_type),)
+
+
+def _chain_digest(digest: bytes, unit: bytes) -> bytes:
+ return hashlib.sha256(digest + unit).digest()
+
+
+def _seed(tools: Sequence[ChatCompletionToolParam] | None) -> bytes:
+ if tools is None:
+ return hashlib.sha256(b"").digest()
+ return hashlib.sha256(
+ _canonical_bytes(_TOOLS_ADAPTER.validate_python(to_jsonable_python(tools, serialize_unknown=True)))
+ ).digest()
+
+
+def _positions_of(
+ prefix: tuple[Mapping[str, JsonValue], ...], tools: Sequence[ChatCompletionToolParam] | None
+) -> tuple[PrefixPosition, ...]:
+ units: Final = tuple(unit for message in prefix for unit in _message_units(message))
+ digests: Final = tuple(accumulate((unit_bytes for unit_bytes, _ in units), _chain_digest, initial=_seed(tools)))[1:]
+ run_types: Final = tuple(run_type for _, run_type in units)
+ positions: Final = accumulate(
+ 0 if run_type is not None and run_type == previous else 1
+ for run_type, previous in zip(run_types, (None, *run_types[:-1]))
+ )
+ return tuple(
+ PrefixPosition(cache_key=f"deployment:{digest.hex()}:prompt_caching", position=position)
+ for digest, position in zip(digests, positions)
+ )
+
+
+def _lookback_keys(positions: tuple[PrefixPosition, ...]) -> tuple[str, ...]:
+ if not positions:
+ return ()
+ oldest_probed_position: Final = positions[-1].position - PROMPT_CACHE_LOOKBACK_POSITIONS
+ return tuple(entry.cache_key for entry in reversed(positions) if entry.position > oldest_probed_position)
+
+
+def _pinned_value(value: JsonValue) -> PromptCachingCacheValue | None:
+ if not isinstance(value, dict):
+ return None
+ model_id: Final = value.get("model_id")
+ return PromptCachingCacheValue(model_id=model_id) if isinstance(model_id, str) else None
+
+
+def _first_pin(values: tuple[JsonValue, ...] | None) -> PromptCachingCacheValue | None:
+ if values is None:
+ return None
+ return next((pin for pin in map(_pinned_value, values) if pin is not None), None)
+
+
class PromptCachingCache:
def __init__(self, cache: DualCache):
self.cache = cache
- self.in_memory_cache = InMemoryCache()
@staticmethod
def serialize_object(obj: Any) -> object:
@@ -140,114 +239,123 @@ class PromptCachingCache:
return cacheable_prefix
@staticmethod
- def get_prompt_caching_cache_key(
+ def prefix_positions(
messages: list[AllMessageValues] | None,
- tools: list[ChatCompletionToolParam] | None,
- ) -> str | None:
- if messages is None and tools is None:
- return None
+ tools: Sequence[ChatCompletionToolParam] | None,
+ ) -> tuple[PrefixPosition, ...]:
+ """
+ One cache key per content block of the cacheable prefix, oldest block first.
- # Extract cacheable prefix from messages (only include up to last cache_control block)
- cacheable_messages = None
- if messages is not None:
- cacheable_messages = PromptCachingCache.extract_cacheable_prefix(messages)
- # If no cacheable prefix found, return None (can't cache)
- if not cacheable_messages:
- return None
+ Each key hashes the prefix content up to and including that block, with cache_control markers
+ left out, so the key of a block is the same whichever turn's breakpoint the prefix ends at.
+ String content hashes like a single text block, which is how the provider treats it and how
+ Claude Code re-sends a previously marked message. `position` counts a run of consecutive
+ tool_use (or tool_result) blocks as one, matching the provider's lookback window.
- # Use serialize_object for consistent and stable serialization
- data_to_hash: Final = {}
- if cacheable_messages is not None:
- serialized_messages: Final = PromptCachingCache.serialize_object(cacheable_messages)
- data_to_hash["messages"] = serialized_messages
- if tools is not None:
- serialized_tools: Final = PromptCachingCache.serialize_object(tools)
- data_to_hash["tools"] = serialized_tools
-
- # Combine serialized data into a single string
- data_to_hash_str: Final = json.dumps(
- data_to_hash,
- sort_keys=True,
- separators=(",", ":"),
+ The prefix is hashed in the shape the success event sees it, with long base64 data URIs
+ already replaced by their size placeholder, so a request carrying the raw image bytes
+ derives the same keys the write side stored.
+ """
+ if not messages:
+ return ()
+ return _positions_of(
+ _PREFIX_ADAPTER.validate_python(
+ to_jsonable_python(
+ truncate_base64_in_messages(PromptCachingCache.extract_cacheable_prefix(messages)),
+ serialize_unknown=True,
+ )
+ ),
+ tools,
)
- # Create a hash of the serialized data for a stable cache key
- hashed_data: Final = hashlib.sha256(data_to_hash_str.encode()).hexdigest()
- return f"deployment:{hashed_data}:prompt_caching"
+ @staticmethod
+ async def async_prefix_positions(
+ messages: list[AllMessageValues] | None,
+ tools: Sequence[ChatCompletionToolParam] | None,
+ ) -> tuple[PrefixPosition, ...]:
+ if not messages:
+ return ()
+ return _positions_of(
+ _PREFIX_ADAPTER.validate_python(
+ to_jsonable_python(
+ await truncate_base64_in_messages_async(PromptCachingCache.extract_cacheable_prefix(messages)),
+ serialize_unknown=True,
+ )
+ ),
+ tools,
+ )
+
+ @staticmethod
+ def get_prompt_caching_cache_key(
+ messages: list[AllMessageValues] | None,
+ tools: Sequence[ChatCompletionToolParam] | None,
+ ) -> str | None:
+ positions: Final = PromptCachingCache.prefix_positions(messages, tools)
+ return positions[-1].cache_key if positions else None
def add_model_id(
self,
model_id: str,
messages: list[AllMessageValues] | None,
- tools: list[ChatCompletionToolParam] | None,
+ tools: Sequence[ChatCompletionToolParam] | None,
) -> None:
- if messages is None and tools is None:
- return
-
cache_key: Final = PromptCachingCache.get_prompt_caching_cache_key(messages, tools)
- # If no cacheable prefix found, don't cache (can't generate cache key)
if cache_key is None:
return
- self.cache.set_cache(cache_key, PromptCachingCacheValue(model_id=model_id), ttl=300)
- return
+ self.cache.set_cache(cache_key, PromptCachingCacheValue(model_id=model_id), ttl=PROMPT_CACHE_PIN_TTL_SECONDS)
async def async_add_model_id(
self,
model_id: str,
messages: list[AllMessageValues] | None,
- tools: list[ChatCompletionToolParam] | None,
+ tools: Sequence[ChatCompletionToolParam] | None,
) -> None:
- if messages is None and tools is None:
- return
-
- cache_key: Final = PromptCachingCache.get_prompt_caching_cache_key(messages, tools)
- # If no cacheable prefix found, don't cache (can't generate cache key)
- if cache_key is None:
+ positions: Final = await PromptCachingCache.async_prefix_positions(messages, tools)
+ if not positions:
return
await self.cache.async_set_cache(
- cache_key,
+ positions[-1].cache_key,
PromptCachingCacheValue(model_id=model_id),
- ttl=300, # store for 5 minutes
+ ttl=PROMPT_CACHE_PIN_TTL_SECONDS,
)
- return
async def async_get_model_id(
self,
messages: list[AllMessageValues] | None,
- tools: list[ChatCompletionToolParam] | None,
+ tools: Sequence[ChatCompletionToolParam] | None,
) -> PromptCachingCacheValue | None:
"""
- Get model ID from cache using the cacheable prefix.
-
- The cache key is based on the cacheable prefix (everything up to and including
- the last cache_control block), so requests with the same cacheable prefix but
- different user messages will have the same cache key.
+ Find the deployment that last served this prefix, walking back from the breakpoint the
+ same way the provider cache does, so a breakpoint that moved forward since the last
+ turn still lands on the deployment whose cache holds the earlier prefix.
"""
- if messages is None and tools is None:
+ cache_keys: Final = _lookback_keys(await PromptCachingCache.async_prefix_positions(messages, tools))
+ if not cache_keys:
return None
- # Generate cache key using cacheable prefix
- cache_key: Final = PromptCachingCache.get_prompt_caching_cache_key(messages, tools)
- if cache_key is None:
- return None
-
- # Perform cache lookup
- cache_result: Final = await self.cache.async_get_cache(key=cache_key)
- return cache_result
+ return _first_pin(
+ _PINS_ADAPTER.validate_python(
+ await self.cache.async_batch_get_cache(
+ keys=list(cache_keys), # mutable-ok: DualCache.async_batch_get_cache only takes a list
+ )
+ )
+ )
def get_model_id(
self,
messages: list[AllMessageValues] | None,
- tools: list[ChatCompletionToolParam] | None,
+ tools: Sequence[ChatCompletionToolParam] | None,
) -> PromptCachingCacheValue | None:
- if messages is None and tools is None:
+ cache_keys: Final = _lookback_keys(PromptCachingCache.prefix_positions(messages, tools))
+ if not cache_keys:
return None
- cache_key: Final = PromptCachingCache.get_prompt_caching_cache_key(messages, tools)
- # If no cacheable prefix found, return None (can't cache)
- if cache_key is None:
- return None
-
- return self.cache.get_cache(cache_key)
+ return _first_pin(
+ _PINS_ADAPTER.validate_python(
+ self.cache.batch_get_cache(
+ keys=list(cache_keys), # mutable-ok: DualCache.batch_get_cache only takes a list
+ )
+ )
+ )
diff --git a/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py b/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py
index 333e7b2ff31..d0a9223dfa7 100644
--- a/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py
+++ b/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py
@@ -1,5 +1,6 @@
import asyncio
import copy
+import functools
from typing import List, cast
import pytest
@@ -7,7 +8,7 @@ import pytest
import litellm
from litellm.caching.dual_cache import DualCache
-from litellm.constants import DEFAULT_MINIMUM_PROMPT_CACHE_TOKEN_COUNT
+from litellm.constants import DEFAULT_MINIMUM_PROMPT_CACHE_TOKEN_COUNT, PROMPT_CACHE_LOOKBACK_POSITIONS
from litellm.integrations.anthropic_cache_control_hook import AnthropicCacheControlHook
from litellm.integrations.custom_logger import CustomLogger
from litellm.router_utils.pre_call_checks.prompt_caching_deployment_check import (
@@ -30,7 +31,6 @@ def _local_model_cost_map_autouse(local_model_cost_map):
yield
-
def _deployments(*models: str) -> List[dict]:
return [
{
@@ -84,7 +84,9 @@ def test_write_gate_is_what_prevents_a_pin_below_the_model_minimum():
"""
messages = _messages(word_count=1400)
- token_count = token_counter(messages=messages, model="anthropic/claude-opus-4-5", use_default_image_token_count=True)
+ token_count = token_counter(
+ messages=messages, model="anthropic/claude-opus-4-5", use_default_image_token_count=True
+ )
assert 1024 < token_count < 4096
assert is_prompt_caching_valid_prompt(model="anthropic/claude-opus-4-5", messages=messages) is False
@@ -110,7 +112,9 @@ async def test_async_filter_deployments_does_not_narrow_prompt_below_model_minim
deployments = _deployments("anthropic/claude-opus-4-6", "anthropic/claude-opus-4-6")
messages = _messages(word_count=1400)
- token_count = token_counter(messages=messages, model="anthropic/claude-opus-4-6", use_default_image_token_count=True)
+ token_count = token_counter(
+ messages=messages, model="anthropic/claude-opus-4-6", use_default_image_token_count=True
+ )
assert DEFAULT_MINIMUM_PROMPT_CACHE_TOKEN_COUNT < token_count < OPUS_4_6_MIN_TOKENS
await PromptCachingCache(cache=cache).async_add_model_id(model_id="dep-2", messages=messages, tools=None)
@@ -136,7 +140,9 @@ async def test_async_filter_deployments_narrows_prompt_above_model_minimum():
deployments = _deployments("anthropic/claude-opus-4-6", "anthropic/claude-opus-4-6")
messages = _messages(word_count=5000)
- token_count = token_counter(messages=messages, model="anthropic/claude-opus-4-6", use_default_image_token_count=True)
+ token_count = token_counter(
+ messages=messages, model="anthropic/claude-opus-4-6", use_default_image_token_count=True
+ )
assert token_count > OPUS_4_6_MIN_TOKENS
await PromptCachingCache(cache=cache).async_add_model_id(model_id="dep-2", messages=messages, tools=None)
@@ -539,3 +545,260 @@ async def test_async_log_success_event_counts_the_prompt_off_the_event_loop():
"model_id": "dep-1"
}
assert_loop_stayed_free(took, lags)
+
+
+LONG_PROMPT = "word " * 3000
+ONE_PIXEL_PNG = (
+ "data:image/png;base64,"
+ "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNkYPhfDwAChwGA60e6kgAAAABJRU5ErkJggg=="
+)
+
+
+def _turn(*messages: dict) -> List[AllMessageValues]:
+ return cast(List[AllMessageValues], list(messages))
+
+
+def _text(text: str) -> dict:
+ return {"type": "text", "text": text}
+
+
+def _marked(text: str) -> dict:
+ return {"type": "text", "text": text, "cache_control": {"type": "ephemeral"}}
+
+
+@pytest.mark.asyncio
+async def test_pin_survives_the_breakpoint_moving_to_the_next_turn():
+ """
+ The regression. Claude Code marks only the newest user message each turn, so the last breakpoint
+ moves forward every turn. The key hashed the prefix up to that moving breakpoint, markers
+ included, so no turn after the first ever found the pin the previous turn wrote, and a
+ multi-deployment group re-rolled the deployment mid-session, paying a cache write on a
+ deployment whose provider cache held nothing of the conversation.
+ """
+ cache = DualCache()
+ check = PromptCachingDeploymentCheck(cache=cache)
+ deployments = _deployments(AUTO_CACHING_MODEL, AUTO_CACHING_MODEL)
+ turn_one = _turn({"role": "user", "content": [_marked(LONG_PROMPT)]})
+ turn_two = _turn(
+ {"role": "user", "content": [_text(LONG_PROMPT)]},
+ {"role": "assistant", "content": "ok"},
+ {"role": "user", "content": [_marked("next")]},
+ )
+
+ await PromptCachingCache(cache=cache).async_add_model_id(model_id="dep-2", messages=turn_one, tools=None)
+
+ filtered = await check.async_filter_deployments(
+ model=MODEL_GROUP_ALIAS, healthy_deployments=deployments, messages=turn_two
+ )
+
+ assert filtered == [deployments[1]]
+
+
+@pytest.mark.asyncio
+async def test_pin_survives_the_marked_message_coming_back_as_string_content():
+ """
+ Claude Code sends the message that carries a breakpoint as a one-block content list and re-sends
+ it next turn as plain string content once the marker has moved on. The provider caches both
+ shapes identically, so the key has to as well, or the walk-back never lands on the turn-one write.
+ """
+ cache = DualCache()
+ check = PromptCachingDeploymentCheck(cache=cache)
+ deployments = _deployments(AUTO_CACHING_MODEL, AUTO_CACHING_MODEL)
+ turn_one = _turn(
+ {"role": "system", "content": [_marked(LONG_PROMPT)]},
+ {"role": "user", "content": [_marked("hello")]},
+ )
+ turn_two = _turn(
+ {"role": "system", "content": LONG_PROMPT},
+ {"role": "user", "content": "hello"},
+ {"role": "assistant", "content": "hi"},
+ {"role": "user", "content": [_marked("again")]},
+ )
+
+ await PromptCachingCache(cache=cache).async_add_model_id(model_id="dep-1", messages=turn_one, tools=None)
+
+ filtered = await check.async_filter_deployments(
+ model=MODEL_GROUP_ALIAS, healthy_deployments=deployments, messages=turn_two
+ )
+
+ assert filtered == [deployments[0]]
+
+
+@pytest.mark.asyncio
+async def test_lookback_stops_where_the_provider_cache_stops():
+ """
+ Anthropic finds a cached prefix at most PROMPT_CACHE_LOOKBACK_POSITIONS block positions behind a
+ breakpoint, the breakpoint block included. Probing further would pin to a deployment whose cache
+ the provider will not consult, and probing less would drop pins the provider still honors.
+ """
+ prompt_cache = PromptCachingCache(cache=DualCache())
+ await prompt_cache.async_add_model_id(
+ model_id="dep-1", messages=_turn({"role": "user", "content": [_marked("block 0")]}), tools=None
+ )
+
+ def turn_with_blocks_after(count: int) -> List[AllMessageValues]:
+ later = [_text(f"block {index}") for index in range(1, count)] + [_marked(f"block {count}")]
+ return _turn({"role": "user", "content": [_text("block 0"), *later]})
+
+ inside_window = turn_with_blocks_after(PROMPT_CACHE_LOOKBACK_POSITIONS - 1)
+ past_window = turn_with_blocks_after(PROMPT_CACHE_LOOKBACK_POSITIONS)
+
+ assert await prompt_cache.async_get_model_id(messages=inside_window, tools=None) == {"model_id": "dep-1"}
+ assert prompt_cache.get_model_id(messages=inside_window, tools=None) == {"model_id": "dep-1"}
+ assert await prompt_cache.async_get_model_id(messages=past_window, tools=None) is None
+ assert prompt_cache.get_model_id(messages=past_window, tools=None) is None
+
+
+@pytest.mark.asyncio
+async def test_a_run_of_tool_blocks_counts_as_one_lookback_position():
+ """
+ The provider counts consecutive tool_use blocks as one lookback position, and consecutive
+ tool_result blocks as one, in both the Anthropic and the OpenAI message shapes. An agent turn that
+ fans out into many tool calls would otherwise push the previous breakpoint out of the window
+ after a single turn, which is exactly when the conversation is longest and the cache matters most.
+ """
+ prompt_cache = PromptCachingCache(cache=DualCache())
+ await prompt_cache.async_add_model_id(
+ model_id="dep-1", messages=_turn({"role": "user", "content": [_marked("task")]}), tools=None
+ )
+ fan_out = PROMPT_CACHE_LOOKBACK_POSITIONS + 5
+
+ def anthropic_shaped(tool_use_type: str, tool_result_type: str) -> List[AllMessageValues]:
+ return _turn(
+ {"role": "user", "content": [_text("task")]},
+ {
+ "role": "assistant",
+ "content": [
+ {"type": tool_use_type, "id": f"call-{index}", "name": "read", "input": {"index": index}}
+ for index in range(fan_out)
+ ],
+ },
+ {
+ "role": "user",
+ "content": [
+ *(
+ {"type": tool_result_type, "tool_use_id": f"call-{index}", "content": "ok"}
+ for index in range(fan_out)
+ ),
+ _marked("continue"),
+ ],
+ },
+ )
+
+ openai_shaped = _turn(
+ {"role": "user", "content": [_text("task")]},
+ {
+ "role": "assistant",
+ "content": None,
+ "tool_calls": [
+ {"id": f"call-{index}", "type": "function", "function": {"name": "read", "arguments": "{}"}}
+ for index in range(fan_out)
+ ],
+ },
+ *({"role": "tool", "tool_call_id": f"call-{index}", "content": "ok"} for index in range(fan_out)),
+ {"role": "user", "content": [_marked("continue")]},
+ )
+
+ assert await prompt_cache.async_get_model_id(messages=anthropic_shaped("tool_use", "tool_result"), tools=None) == {
+ "model_id": "dep-1"
+ }
+ assert await prompt_cache.async_get_model_id(messages=openai_shaped, tools=None) == {"model_id": "dep-1"}
+ assert await prompt_cache.async_get_model_id(messages=anthropic_shaped("text", "text"), tools=None) is None
+
+
+@pytest.mark.asyncio
+async def test_an_edited_earlier_block_does_not_inherit_the_pin():
+ """Walking back must still bind every block's content, or an edited conversation pins to a stale cache."""
+ prompt_cache = PromptCachingCache(cache=DualCache())
+ await prompt_cache.async_add_model_id(
+ model_id="dep-1", messages=_turn({"role": "user", "content": [_marked("original")]}), tools=None
+ )
+ edited = _turn(
+ {"role": "user", "content": [_text("edited")]},
+ {"role": "assistant", "content": "ok"},
+ {"role": "user", "content": [_marked("next")]},
+ )
+
+ assert await prompt_cache.async_get_model_id(messages=edited, tools=None) is None
+
+
+class _BrokenBatchReadCache(DualCache):
+ async def async_batch_get_cache(self, keys, parent_otel_span=None, local_only=False, **kwargs):
+ return None
+
+
+@pytest.mark.asyncio
+async def test_a_failed_batch_read_pins_nothing():
+ """DualCache answers None rather than a list when the batch read raises, and routing must fall through."""
+ prompt_cache = PromptCachingCache(cache=_BrokenBatchReadCache())
+
+ assert (
+ await prompt_cache.async_get_model_id(messages=_turn({"role": "user", "content": [_marked("x")]}), tools=None)
+ is None
+ )
+
+
+@pytest.mark.asyncio
+async def test_pin_matches_when_the_success_event_truncated_an_image_payload(monkeypatch, local_model_cost_map):
+ """
+ The success event only ever sees the standard logging payload, whose long base64 data URIs are
+ replaced by size placeholders, while routing sees the raw request. Hashing the raw bytes on the
+ read side would key every image-carrying session past its own pin.
+ """
+ capture = _SentMessagesCapture()
+ monkeypatch.setattr(litellm, "callbacks", [capture])
+ image = {"type": "image_url", "image_url": {"url": ONE_PIXEL_PNG}}
+ turn_one = _turn({"role": "user", "content": [image, _marked(LONG_PROMPT)]})
+
+ await litellm.acompletion(
+ model=AUTO_CACHING_MODEL, messages=copy.deepcopy(turn_one), mock_response="ok", api_key="sk-fake"
+ )
+ logged = await _eventually(lambda: capture.messages)
+ assert logged is not None
+ assert logged != turn_one
+
+ cache = DualCache()
+ await PromptCachingCache(cache=cache).async_add_model_id(model_id="dep-2", messages=logged, tools=None)
+ turn_two = _turn(
+ {"role": "user", "content": [image, _text(LONG_PROMPT)]},
+ {"role": "assistant", "content": "ok"},
+ {"role": "user", "content": [_marked("next")]},
+ )
+ deployments = _deployments(AUTO_CACHING_MODEL, AUTO_CACHING_MODEL)
+
+ filtered = await PromptCachingDeploymentCheck(cache=cache).async_filter_deployments(
+ model=MODEL_GROUP_ALIAS, healthy_deployments=deployments, messages=turn_two
+ )
+
+ assert filtered == [deployments[1]]
+
+
+@pytest.mark.asyncio
+async def test_claude_code_style_session_stays_on_one_deployment_across_turns(local_model_cost_map):
+ """
+ End to end over the router with a client that marks only the newest user message each turn, the
+ way Claude Code does. Every turn has to land on the deployment that served the first one.
+ """
+ router = litellm.Router(
+ model_list=[
+ {
+ "model_name": MODEL_GROUP_ALIAS,
+ "litellm_params": {"model": AUTO_CACHING_MODEL, "api_key": "sk-fake"},
+ "model_info": {"id": model_id},
+ }
+ for model_id in ("dep-1", "dep-2", "dep-3")
+ ],
+ optional_pre_call_checks=["prompt_caching"],
+ )
+ user_turns = [LONG_PROMPT, *(f"follow-up {number}" for number in range(1, 6))]
+ history: List[AllMessageValues] = []
+ served: List[str] = []
+ for text in user_turns:
+ request = cast(List[AllMessageValues], [*history, {"role": "user", "content": [_marked(text)]}])
+ response = await router.acompletion(model=MODEL_GROUP_ALIAS, messages=request, mock_response="ok")
+ served.append(response._hidden_params["model_id"])
+ pin_key = PromptCachingCache.get_prompt_caching_cache_key(request, None)
+ assert await _eventually(functools.partial(router.cache.get_cache, key=pin_key)) is not None
+ history = [*history, {"role": "user", "content": [_text(text)]}, {"role": "assistant", "content": "ok"}]
+
+ assert served == [served[0]] * len(user_turns)
From c13dcb0abfe3de7b6722e18d7acf0f59eaa39fc8 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 20:11:14 -0700
Subject: [PATCH 117/246] fix(proxy): forward a client's anthropic-beta and
anthropic-version headers to bedrock_mantle
---
litellm/proxy/litellm_pre_call_utils.py | 7 +++++-
..._bedrock_mantle_messages_transformation.py | 19 +++++++++++++++
.../proxy/test_litellm_pre_call_utils.py | 24 ++++++++++++++++++-
3 files changed, 48 insertions(+), 2 deletions(-)
diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py
index 9a973755894..e415a78f412 100644
--- a/litellm/proxy/litellm_pre_call_utils.py
+++ b/litellm/proxy/litellm_pre_call_utils.py
@@ -3418,7 +3418,12 @@ async def add_guardrails_from_policy_engine(
_ANTHROPIC_API_HEADER_PROVIDERS: Final = ",".join(
- (LlmProviders.ANTHROPIC.value, LlmProviders.BEDROCK.value, LlmProviders.VERTEX_AI.value)
+ (
+ LlmProviders.ANTHROPIC.value,
+ LlmProviders.BEDROCK.value,
+ LlmProviders.BEDROCK_MANTLE.value,
+ LlmProviders.VERTEX_AI.value,
+ )
)
_ANTHROPIC_OAUTH_CREDENTIAL_PROVIDERS: Final = LlmProviders.ANTHROPIC.value
diff --git a/tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py b/tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py
index 3544262996c..6bacf8f3d94 100644
--- a/tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py
+++ b/tests/test_litellm/llms/bedrock_mantle/test_bedrock_mantle_messages_transformation.py
@@ -385,6 +385,25 @@ class TestBetaHeadersOnTheWire:
"interleaved-thinking-2025-05-14",
]
+ @pytest.mark.asyncio
+ @respx.mock
+ async def test_betas_a_proxy_client_sends_reach_mantle_filtered(self):
+ from litellm.proxy.litellm_pre_call_utils import add_provider_specific_headers_to_request
+
+ proxy_request_data: dict = {}
+ add_provider_specific_headers_to_request(
+ data=proxy_request_data,
+ headers={
+ "anthropic-beta": "claude-code-20250219,fast-mode-2026-02-01,interleaved-thinking-2025-05-14",
+ "anthropic-version": "2023-06-01",
+ "user-agent": "claude-cli/2.1.239",
+ },
+ )
+
+ route = await self._send(**proxy_request_data)
+
+ assert _sent_betas(route) == ["claude-code-20250219", "interleaved-thinking-2025-05-14"]
+
@pytest.mark.asyncio
@respx.mock
async def test_betas_mantle_rejects_are_dropped_before_the_request(self):
diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
index 88d38d74f49..9257a2dd23d 100644
--- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
+++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
@@ -7249,7 +7249,7 @@ CROSS_ACCOUNT_AUTHORIZATION = "Bearer deliberately-configured-pass-through-token
SIGV4_PREFIX = "AWS4-HMAC-SHA256"
AUTHORIZATION_HEADER_CASINGS = ["authorization", "Authorization", "AUTHORIZATION"]
-LEAK_TARGET_PROVIDERS = ["bedrock", "bedrock_converse", "vertex_ai"]
+LEAK_TARGET_PROVIDERS = ["bedrock", "bedrock_converse", "bedrock_mantle", "vertex_ai"]
BEDROCK_ENDPOINT = (
"https://bedrock-runtime.us-west-2.amazonaws.com/model/us.anthropic.claude-sonnet-4-5-20250929-v1:0/invoke"
@@ -7342,6 +7342,28 @@ def test_oauth_credential_entry_is_scoped_to_anthropic_alone():
assert [entry["custom_llm_provider"] for entry in credential_entries] == ["anthropic"]
+@pytest.mark.parametrize("custom_llm_provider", ["anthropic", "bedrock", "bedrock_mantle", "vertex_ai"])
+def test_client_anthropic_api_headers_reach_every_anthropic_messages_provider(custom_llm_provider):
+ client_headers = {
+ "anthropic-beta": "claude-code-20250219,interleaved-thinking-2025-05-14",
+ "anthropic-version": "2023-06-01",
+ "user-agent": "claude-cli/2.1.239",
+ }
+
+ forwarded = _headers_forwarded_to(client_headers, custom_llm_provider)
+
+ assert forwarded == {
+ "anthropic-beta": "claude-code-20250219,interleaved-thinking-2025-05-14",
+ "anthropic-version": "2023-06-01",
+ }
+
+
+def test_client_anthropic_api_headers_stay_off_openai_compatible_providers():
+ forwarded = _headers_forwarded_to({"anthropic-beta": "claude-code-20250219"}, "openai")
+
+ assert forwarded == {}
+
+
def test_no_provider_specific_header_when_client_sends_nothing_anthropic():
data: dict = {}
add_provider_specific_headers_to_request(
From 0f0c0fe499fc12856273f6094e622a8f9dc72311 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 20:13:59 -0700
Subject: [PATCH 118/246] fix: drop a blank anthropic-beta header before it
reaches the provider
---
litellm/anthropic_beta_headers_manager.py | 2 +-
.../test_anthropic_beta_headers_filtering.py | 18 ++++++++++++++++++
2 files changed, 19 insertions(+), 1 deletion(-)
diff --git a/litellm/anthropic_beta_headers_manager.py b/litellm/anthropic_beta_headers_manager.py
index abce47c191e..7e7099a53b0 100644
--- a/litellm/anthropic_beta_headers_manager.py
+++ b/litellm/anthropic_beta_headers_manager.py
@@ -334,7 +334,7 @@ def update_headers_with_filtered_beta(
Updated headers dict
"""
existing_beta: Final = headers.get("anthropic-beta")
- if not existing_beta:
+ if existing_beta is None:
return headers
# Parse existing beta headers
diff --git a/tests/test_litellm/test_anthropic_beta_headers_filtering.py b/tests/test_litellm/test_anthropic_beta_headers_filtering.py
index 3c967283abf..d404edb1281 100644
--- a/tests/test_litellm/test_anthropic_beta_headers_filtering.py
+++ b/tests/test_litellm/test_anthropic_beta_headers_filtering.py
@@ -18,6 +18,7 @@ import pytest
import litellm
from litellm.anthropic_beta_headers_manager import (
filter_and_transform_beta_headers,
+ update_headers_with_filtered_beta,
update_request_with_filtered_beta,
)
@@ -511,3 +512,20 @@ class TestAnthropicBetaHeadersFiltering:
assert (
"unknown-header-123" not in filtered
), f"Unknown header should not be in result for {provider}"
+
+ @pytest.mark.parametrize("provider", ["anthropic", "bedrock", "bedrock_mantle", "vertex_ai"])
+ def test_blank_anthropic_beta_header_is_removed(self, provider):
+ headers = {"anthropic-beta": "", "anthropic-version": "2023-06-01"}
+
+ assert update_headers_with_filtered_beta(headers, provider) == {"anthropic-version": "2023-06-01"}
+
+ @pytest.mark.parametrize("provider", ["anthropic", "bedrock", "bedrock_mantle", "vertex_ai"])
+ def test_whitespace_only_anthropic_beta_header_is_removed(self, provider):
+ headers = {"anthropic-beta": " , ", "anthropic-version": "2023-06-01"}
+
+ assert update_headers_with_filtered_beta(headers, provider) == {"anthropic-version": "2023-06-01"}
+
+ def test_absent_anthropic_beta_header_is_left_alone(self):
+ headers = {"anthropic-version": "2023-06-01"}
+
+ assert update_headers_with_filtered_beta(headers, "bedrock_mantle") == {"anthropic-version": "2023-06-01"}
From f24208f9ca8c0c5842e92eba09d6bc9b35b8a66f Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 20:17:55 -0700
Subject: [PATCH 119/246] fix(bedrock_mantle): price region-prefixed Claude
responses from the bare Bedrock row
---
litellm/utils.py | 17 ++++++++++++---
tests/test_litellm/test_cost_calculator.py | 25 ++++++++++++++++++++++
2 files changed, 39 insertions(+), 3 deletions(-)
diff --git a/litellm/utils.py b/litellm/utils.py
index 3439a21b560..f3b9fcfd1ed 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -5624,6 +5624,12 @@ def _get_model_info_from_generalization(
return None
+def _strip_mantle_region_prefix(model: str) -> str:
+ from litellm.llms.bedrock_mantle.common_utils import split_mantle_region_prefix
+
+ return split_mantle_region_prefix(model)[1]
+
+
def _get_potential_model_names(model: str, custom_llm_provider: str | None) -> PotentialModelNamesAndCustomLLMProvider:
if custom_llm_provider is None:
# Get custom_llm_provider
@@ -5656,17 +5662,22 @@ def _get_potential_model_names(model: str, custom_llm_provider: str | None) -> P
split_model = strip_bedrock_routing_prefix(split_model)
+ region_free_split_model: Final = (
+ _strip_mantle_region_prefix(split_model) if custom_llm_provider == "bedrock_mantle" else split_model
+ )
provider_model_info: Final = (
- ProviderConfigManager.get_provider_model_info(model=split_model, provider=LlmProviders(custom_llm_provider))
+ ProviderConfigManager.get_provider_model_info(
+ model=region_free_split_model, provider=LlmProviders(custom_llm_provider)
+ )
if custom_llm_provider in LlmProvidersSet
else None
)
provider_cost_key: Final = (
- provider_model_info.get_model_cost_key(split_model) if provider_model_info is not None else None
+ provider_model_info.get_model_cost_key(region_free_split_model) if provider_model_info is not None else None
)
return PotentialModelNamesAndCustomLLMProvider(
- split_model=split_model,
+ split_model=region_free_split_model,
combined_model_name=combined_model_name,
stripped_model_name=stripped_model_name,
combined_stripped_model_name=combined_stripped_model_name,
diff --git a/tests/test_litellm/test_cost_calculator.py b/tests/test_litellm/test_cost_calculator.py
index aef17f3d5d0..fe52b9993f2 100644
--- a/tests/test_litellm/test_cost_calculator.py
+++ b/tests/test_litellm/test_cost_calculator.py
@@ -3522,6 +3522,31 @@ def test_cost_per_token_region_name_applies_to_provider_prefixed_model(_local_mo
)
+def test_completion_cost_mantle_native_messages_prices_claude_from_the_bedrock_row(_local_model_cost_map):
+ """Mantle's native Messages API answers with Anthropic's canonical model name and the proxy
+ resolves a Mantle region for every call, so the first cost candidate is
+ bedrock_mantle//claude-sonnet-5. That name has no row of its own and must fall through to
+ the deployment's bare Bedrock row instead of stopping on an unpriced capability rule at $0."""
+
+ response = litellm.ModelResponse(
+ id="msg_x",
+ choices=[{"index": 0, "message": {"role": "assistant", "content": "hi"}, "finish_reason": "stop"}],
+ model="claude-sonnet-5",
+ usage={"prompt_tokens": 100, "completion_tokens": 10, "total_tokens": 110},
+ )
+ row = litellm.model_cost["anthropic.claude-sonnet-5"]
+ expected = 100 * row["input_cost_per_token"] + 10 * row["output_cost_per_token"]
+ assert expected > 0
+
+ for region_name in ("us-east-1", None):
+ assert litellm.completion_cost(
+ completion_response=response,
+ model="bedrock_mantle/anthropic.claude-sonnet-5",
+ custom_llm_provider="bedrock_mantle",
+ region_name=region_name,
+ ) == pytest.approx(expected)
+
+
def test_select_model_name_keeps_base_model_free_of_region(_local_model_cost_map):
"""An explicit base_model keeps pricing on that model's own key even when the request carries a
region with different regional rates, so the private provider model never widens region pricing."""
From 3ffe6272c96c08f54f972ef43a2541d73222f2ba Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 20:22:28 -0700
Subject: [PATCH 120/246] fix(router): hash the prompt caching affinity prefix
off the event loop
Offload the per-block hashing through offload_token_count on both the pre-call
read and the success-event write, hash raw bytes as base64 instead of raising,
drop the unused serialize_object helper, and bind the chained digest, the
message envelope, and the bytes path in the regression tests
---
litellm/constants.py | 2 -
litellm/router_utils/prompt_caching_cache.py | 38 +++------------
.../test_router_prompt_caching.py | 48 -------------------
.../test_prompt_caching_deployment_check.py | 40 ++++++++++++++--
4 files changed, 43 insertions(+), 85 deletions(-)
diff --git a/litellm/constants.py b/litellm/constants.py
index e4576ad4d5c..215f25bccd1 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -399,8 +399,6 @@ MINIMUM_PROMPT_CACHE_TOKEN_COUNT: Final = (
if MINIMUM_PROMPT_CACHE_TOKEN_COUNT_OVERRIDE is not None
else DEFAULT_MINIMUM_PROMPT_CACHE_TOKEN_COUNT
)
-# Anthropic checks at most 20 block positions behind a breakpoint for a cached prefix, a run of tool_use
-# or tool_result blocks counting as one position, so deployment affinity probes the same window
PROMPT_CACHE_LOOKBACK_POSITIONS: Final = 20
DEFAULT_TRIM_RATIO: Final = float(
os.getenv("DEFAULT_TRIM_RATIO", 0.75)
diff --git a/litellm/router_utils/prompt_caching_cache.py b/litellm/router_utils/prompt_caching_cache.py
index 0b784e1fa91..78fc5e3fe6d 100644
--- a/litellm/router_utils/prompt_caching_cache.py
+++ b/litellm/router_utils/prompt_caching_cache.py
@@ -15,10 +15,8 @@ from typing_extensions import TypedDict
from litellm.caching.caching import DualCache
from litellm.constants import PROMPT_CACHE_LOOKBACK_POSITIONS
-from litellm.litellm_core_utils.logging_utils import (
- truncate_base64_in_messages,
- truncate_base64_in_messages_async,
-)
+from litellm.litellm_core_utils.logging_utils import truncate_base64_in_messages
+from litellm.litellm_core_utils.token_counter import offload_token_count
from litellm.types.llms.openai import AllMessageValues, ChatCompletionToolParam
if TYPE_CHECKING:
@@ -88,7 +86,9 @@ def _seed(tools: Sequence[ChatCompletionToolParam] | None) -> bytes:
if tools is None:
return hashlib.sha256(b"").digest()
return hashlib.sha256(
- _canonical_bytes(_TOOLS_ADAPTER.validate_python(to_jsonable_python(tools, serialize_unknown=True)))
+ _canonical_bytes(
+ _TOOLS_ADAPTER.validate_python(to_jsonable_python(tools, serialize_unknown=True, bytes_mode="base64"))
+ )
).digest()
@@ -132,23 +132,6 @@ class PromptCachingCache:
def __init__(self, cache: DualCache):
self.cache = cache
- @staticmethod
- def serialize_object(obj: Any) -> object:
- """Helper function to serialize Pydantic objects, dictionaries, or fallback to string."""
- if hasattr(obj, "dict"):
- # If the object is a Pydantic model, use its `dict()` method
- return obj.dict()
- elif isinstance(obj, dict):
- # If the object is a dictionary, serialize it with sorted keys
- return json.dumps(obj, sort_keys=True, separators=(",", ":")) # Standardize serialization
-
- elif isinstance(obj, list):
- # Serialize lists by ensuring each element is handled properly
- return [PromptCachingCache.serialize_object(item) for item in obj]
- elif isinstance(obj, (int, float, bool)):
- return obj # Keep primitive types as-is
- return str(obj)
-
@staticmethod
def extract_cacheable_prefix(
messages: list[AllMessageValues],
@@ -263,6 +246,7 @@ class PromptCachingCache:
to_jsonable_python(
truncate_base64_in_messages(PromptCachingCache.extract_cacheable_prefix(messages)),
serialize_unknown=True,
+ bytes_mode="base64",
)
),
tools,
@@ -275,15 +259,7 @@ class PromptCachingCache:
) -> tuple[PrefixPosition, ...]:
if not messages:
return ()
- return _positions_of(
- _PREFIX_ADAPTER.validate_python(
- to_jsonable_python(
- await truncate_base64_in_messages_async(PromptCachingCache.extract_cacheable_prefix(messages)),
- serialize_unknown=True,
- )
- ),
- tools,
- )
+ return await offload_token_count(PromptCachingCache.prefix_positions)(messages, tools)
@staticmethod
def get_prompt_caching_cache_key(
diff --git a/tests/router_unit_tests/test_router_prompt_caching.py b/tests/router_unit_tests/test_router_prompt_caching.py
index 5c36c30e818..879264ca502 100644
--- a/tests/router_unit_tests/test_router_prompt_caching.py
+++ b/tests/router_unit_tests/test_router_prompt_caching.py
@@ -11,57 +11,9 @@ from unittest.mock import patch, MagicMock, AsyncMock
from create_mock_standard_logging_payload import create_standard_logging_payload
from litellm.types.utils import StandardLoggingPayload
import unittest
-from pydantic import BaseModel
from litellm.router_utils.prompt_caching_cache import PromptCachingCache
-class ExampleModel(BaseModel):
- field1: str
- field2: int
-
-
-def test_serialize_pydantic_object():
- model = ExampleModel(field1="value", field2=42)
- serialized = PromptCachingCache.serialize_object(model)
- assert serialized == {"field1": "value", "field2": 42}
-
-
-def test_serialize_dict():
- obj = {"b": 2, "a": 1}
- serialized = PromptCachingCache.serialize_object(obj)
- assert serialized == '{"a":1,"b":2}' # JSON string with sorted keys
-
-
-def test_serialize_nested_dict():
- obj = {"z": {"b": 2, "a": 1}, "x": [1, 2, {"c": 3}]}
- serialized = PromptCachingCache.serialize_object(obj)
- expected = '{"x":[1,2,{"c":3}],"z":{"a":1,"b":2}}' # JSON string with sorted keys
- assert serialized == expected
-
-
-def test_serialize_list():
- obj = ["item1", {"a": 1, "b": 2}, 42]
- serialized = PromptCachingCache.serialize_object(obj)
- expected = ["item1", '{"a":1,"b":2}', 42]
- assert serialized == expected
-
-
-def test_serialize_fallback():
- obj = 12345 # Simple non-serializable object
- serialized = PromptCachingCache.serialize_object(obj)
- assert serialized == 12345
-
-
-def test_serialize_non_serializable():
- class CustomClass:
- def __str__(self):
- return "custom_object"
-
- obj = CustomClass()
- serialized = PromptCachingCache.serialize_object(obj)
- assert serialized == "custom_object" # Fallback to string conversion
-
-
@pytest.mark.asyncio
async def test_router_prompt_caching_same_cacheable_prefix_routes_to_same_deployment():
"""
diff --git a/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py b/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py
index d0a9223dfa7..ad92f442a6e 100644
--- a/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py
+++ b/tests/test_litellm/router_utils/pre_call_checks/test_prompt_caching_deployment_check.py
@@ -708,7 +708,10 @@ async def test_a_run_of_tool_blocks_counts_as_one_lookback_position():
@pytest.mark.asyncio
async def test_an_edited_earlier_block_does_not_inherit_the_pin():
- """Walking back must still bind every block's content, or an edited conversation pins to a stale cache."""
+ """
+ Every key must bind the whole prefix before its block, not the block alone, or a conversation
+ that repeats a pinned block after an edit walks back onto a cache the provider no longer holds.
+ """
prompt_cache = PromptCachingCache(cache=DualCache())
await prompt_cache.async_add_model_id(
model_id="dep-1", messages=_turn({"role": "user", "content": [_marked("original")]}), tools=None
@@ -716,12 +719,41 @@ async def test_an_edited_earlier_block_does_not_inherit_the_pin():
edited = _turn(
{"role": "user", "content": [_text("edited")]},
{"role": "assistant", "content": "ok"},
- {"role": "user", "content": [_marked("next")]},
+ {"role": "user", "content": [_marked("original")]},
)
assert await prompt_cache.async_get_model_id(messages=edited, tools=None) is None
+@pytest.mark.asyncio
+async def test_swapped_roles_do_not_inherit_the_pin():
+ """The message envelope is part of what the provider caches, so the same blocks under other roles key apart."""
+ prompt_cache = PromptCachingCache(cache=DualCache())
+ pinned = _turn(
+ {"role": "user", "content": [_text("question")]},
+ {"role": "assistant", "content": [_marked("answer")]},
+ )
+ swapped = _turn(
+ {"role": "assistant", "content": [_text("question")]},
+ {"role": "user", "content": [_marked("answer")]},
+ )
+ await prompt_cache.async_add_model_id(model_id="dep-1", messages=pinned, tools=None)
+
+ assert await prompt_cache.async_get_model_id(messages=pinned, tools=None) == {"model_id": "dep-1"}
+ assert await prompt_cache.async_get_model_id(messages=swapped, tools=None) is None
+
+
+@pytest.mark.asyncio
+async def test_raw_bytes_in_a_block_hash_instead_of_failing_the_request():
+ """A block carrying raw bytes must key like any other block rather than raising out of the router filter."""
+ prompt_cache = PromptCachingCache(cache=DualCache())
+ binary_block = {"type": "image", "source": {"type": "base64", "media_type": "image/png", "data": b"\xff\xfe"}}
+ turn = _turn({"role": "user", "content": [binary_block, _marked("describe")]})
+ await prompt_cache.async_add_model_id(model_id="dep-1", messages=turn, tools=None)
+
+ assert await prompt_cache.async_get_model_id(messages=turn, tools=None) == {"model_id": "dep-1"}
+
+
class _BrokenBatchReadCache(DualCache):
async def async_batch_get_cache(self, keys, parent_otel_span=None, local_only=False, **kwargs):
return None
@@ -786,11 +818,11 @@ async def test_claude_code_style_session_stays_on_one_deployment_across_turns(lo
"litellm_params": {"model": AUTO_CACHING_MODEL, "api_key": "sk-fake"},
"model_info": {"id": model_id},
}
- for model_id in ("dep-1", "dep-2", "dep-3")
+ for model_id in (f"dep-{number}" for number in range(1, 7))
],
optional_pre_call_checks=["prompt_caching"],
)
- user_turns = [LONG_PROMPT, *(f"follow-up {number}" for number in range(1, 6))]
+ user_turns = [LONG_PROMPT, *(f"follow-up {number}" for number in range(1, 9))]
history: List[AllMessageValues] = []
served: List[str] = []
for text in user_turns:
From 0c68c58eb1d63f0d857bba7ebdd8c4c5dbea992a Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 19 Sep 2026 20:39:53 -0700
Subject: [PATCH 121/246] test(proxy): expect bedrock_mantle in the anthropic
header provider list
---
tests/proxy_unit_tests/test_proxy_utils.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/tests/proxy_unit_tests/test_proxy_utils.py b/tests/proxy_unit_tests/test_proxy_utils.py
index 160753e3442..c62aab11930 100644
--- a/tests/proxy_unit_tests/test_proxy_utils.py
+++ b/tests/proxy_unit_tests/test_proxy_utils.py
@@ -2004,7 +2004,7 @@ def test_provider_specific_header():
)
# Verify multi-provider support: anthropic headers work across multiple providers
assert data["provider_specific_header"] == {
- "custom_llm_provider": "anthropic,bedrock,vertex_ai",
+ "custom_llm_provider": "anthropic,bedrock,bedrock_mantle,vertex_ai",
"extra_headers": {
"anthropic-beta": "prompt-caching-2024-07-31",
},
@@ -2076,7 +2076,7 @@ def test_provider_specific_header_multi_provider():
assert "provider_specific_header" in data
assert (
data["provider_specific_header"]["custom_llm_provider"]
- == "anthropic,bedrock,vertex_ai"
+ == "anthropic,bedrock,bedrock_mantle,vertex_ai"
)
assert data["provider_specific_header"]["extra_headers"] == {
"anthropic-beta": "context-1m-2025-08-07",
From 7fc114c24f393d9329c5b6cd919cee459a96fba7 Mon Sep 17 00:00:00 2001
From: yucheng
Date: Sun, 20 Sep 2026 08:24:47 +0000
Subject: [PATCH 122/246] feat(policy_engine): add default fallback policy
attachments
A policy attachment with default: true applies only when no non-default
attachment matches the request, so an opt-in guardrail policy replaces the
fallback one instead of running alongside it. Supported in config.yaml,
/policies/attachments, the Admin UI Attachments tab and the resolver
(matched_via is prefixed with default:).
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
.../migration.sql | 1 +
.../litellm_proxy_extras/schema.prisma | 1 +
litellm/proxy/_lazy_openapi_snapshot.json | 18 +++
.../policy_engine/attachment_registry.py | 24 ++-
.../proxy/policy_engine/policy_endpoints.py | 1 +
litellm/proxy/schema.prisma | 1 +
.../types/proxy/policy_engine/policy_types.py | 4 +
.../proxy/policy_engine/resolver_types.py | 8 +
schema.prisma | 1 +
.../policy_engine/test_attachment_registry.py | 152 ++++++++++++------
.../_components/AttachmentTable.test.tsx | 13 ++
.../_components/AttachmentTableColumns.tsx | 14 ++
.../_components/add_attachment_form.test.tsx | 15 ++
.../_components/add_attachment_form.tsx | 18 +++
.../_components/build_attachment_data.test.ts | 10 ++
.../_components/build_attachment_data.ts | 2 +
.../src/components/policies/types.ts | 2 +
ui/litellm-dashboard/src/lib/http/schema.d.ts | 12 ++
18 files changed, 241 insertions(+), 56 deletions(-)
create mode 100644 litellm-proxy-extras/litellm_proxy_extras/migrations/20260920041500_add_policy_attachment_is_default/migration.sql
diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260920041500_add_policy_attachment_is_default/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260920041500_add_policy_attachment_is_default/migration.sql
new file mode 100644
index 00000000000..a6c45448d03
--- /dev/null
+++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260920041500_add_policy_attachment_is_default/migration.sql
@@ -0,0 +1 @@
+ALTER TABLE "LiteLLM_PolicyAttachmentTable" ADD COLUMN IF NOT EXISTS "is_default" BOOLEAN NOT NULL DEFAULT false;
diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
index d2032cec0d0..2d7e557a9d1 100644
--- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
+++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
@@ -1419,6 +1419,7 @@ model LiteLLM_PolicyAttachmentTable {
models String[] @default([]) // Model names or patterns
tags String[] @default([]) // Tag patterns (e.g., ["healthcare", "prod-*"])
priority Int? // Explicit execution order
+ is_default Boolean @default(false) // Applied only when no non-default attachment matches
created_at DateTime @default(now())
created_by String?
updated_at DateTime @default(now()) @updatedAt
diff --git a/litellm/proxy/_lazy_openapi_snapshot.json b/litellm/proxy/_lazy_openapi_snapshot.json
index 06e157498aa..6f9a2d8c96d 100644
--- a/litellm/proxy/_lazy_openapi_snapshot.json
+++ b/litellm/proxy/_lazy_openapi_snapshot.json
@@ -34982,6 +34982,12 @@
"PolicyAttachmentCreateRequest": {
"description": "Request body for creating a policy attachment.",
"properties": {
+ "default": {
+ "default": false,
+ "description": "Apply this attachment only when no non-default attachment matches the request.",
+ "title": "Default",
+ "type": "boolean"
+ },
"keys": {
"anyOf": [
{
@@ -35113,6 +35119,12 @@
"description": "Who created the attachment.",
"title": "Created By"
},
+ "default": {
+ "default": false,
+ "description": "Apply this attachment only when no non-default attachment matches the request.",
+ "title": "Default",
+ "type": "boolean"
+ },
"definition_location": {
"default": "db",
"description": "Where this attachment is defined: 'db' (database) or 'config' (config.yaml).",
@@ -37141,6 +37153,12 @@
"PolicyAttachmentCreateRequest": {
"description": "Request body for creating a policy attachment.",
"properties": {
+ "default": {
+ "default": false,
+ "description": "Apply this attachment only when no non-default attachment matches the request.",
+ "title": "Default",
+ "type": "boolean"
+ },
"keys": {
"anyOf": [
{
diff --git a/litellm/proxy/policy_engine/attachment_registry.py b/litellm/proxy/policy_engine/attachment_registry.py
index 3735c335bd4..04009151487 100644
--- a/litellm/proxy/policy_engine/attachment_registry.py
+++ b/litellm/proxy/policy_engine/attachment_registry.py
@@ -119,6 +119,7 @@ class AttachmentRegistry:
models=attachment_data.get("models"),
tags=attachment_data.get("tags"),
priority=attachment_data.get("priority"),
+ default=attachment_data.get("default", False),
)
def get_attached_policies(self, context: PolicyMatchContext) -> list[str]:
@@ -142,12 +143,14 @@ class AttachmentRegistry:
"""
from litellm.proxy.policy_engine.policy_matcher import PolicyMatcher
+ in_scope: Final = tuple(
+ attachment
+ for attachment in self._attachments
+ if PolicyMatcher.scope_matches(scope=attachment.to_policy_scope(), context=context)
+ )
+ non_default: Final = tuple(attachment for attachment in in_scope if not attachment.default)
matching_attachments: Final = sorted(
- (
- attachment
- for attachment in self._attachments
- if PolicyMatcher.scope_matches(scope=attachment.to_policy_scope(), context=context)
- ),
+ non_default or tuple(attachment for attachment in in_scope if attachment.default),
key=_attachment_sort_key,
)
broadest_attachment_by_policy: Final = MappingProxyType(
@@ -169,6 +172,11 @@ class AttachmentRegistry:
@staticmethod
def _describe_match_reason(attachment: PolicyAttachment, context: PolicyMatchContext) -> str:
"""Describe why an attachment matched the context."""
+ reason: Final = AttachmentRegistry._describe_scope_match(attachment, context)
+ return f"default:{reason}" if attachment.default else reason
+
+ @staticmethod
+ def _describe_scope_match(attachment: PolicyAttachment, context: PolicyMatchContext) -> str:
from litellm.proxy.policy_engine.policy_matcher import PolicyMatcher
if attachment.is_global():
@@ -324,6 +332,7 @@ class AttachmentRegistry:
"models": attachment_request.models or [],
"tags": attachment_request.tags or [],
"priority": attachment_request.priority,
+ "is_default": attachment_request.default,
"created_at": datetime.now(timezone.utc),
"updated_at": datetime.now(timezone.utc),
"created_by": created_by,
@@ -340,6 +349,7 @@ class AttachmentRegistry:
models=attachment_request.models,
tags=attachment_request.tags,
priority=attachment_request.priority,
+ default=attachment_request.default,
)
self.add_attachment(attachment)
@@ -352,6 +362,7 @@ class AttachmentRegistry:
models=created_attachment.models or [],
tags=created_attachment.tags or [],
priority=created_attachment.priority,
+ default=created_attachment.is_default,
created_at=created_attachment.created_at,
updated_at=created_attachment.updated_at,
created_by=created_attachment.created_by,
@@ -429,6 +440,7 @@ class AttachmentRegistry:
models=attachment.models or [],
tags=attachment.tags or [],
priority=attachment.priority,
+ default=attachment.is_default,
created_at=attachment.created_at,
updated_at=attachment.updated_at,
created_by=attachment.created_by,
@@ -468,6 +480,7 @@ class AttachmentRegistry:
models=a.models or [],
tags=a.tags or [],
priority=a.priority,
+ default=a.is_default,
created_at=a.created_at,
updated_at=a.updated_at,
created_by=a.created_by,
@@ -502,6 +515,7 @@ class AttachmentRegistry:
models=(attachment_response.models if attachment_response.models else None),
tags=attachment_response.tags if attachment_response.tags else None,
priority=attachment_response.priority,
+ default=attachment_response.default,
)
for attachment_response in attachments
]
diff --git a/litellm/proxy/policy_engine/policy_endpoints.py b/litellm/proxy/policy_engine/policy_endpoints.py
index 1e30238c8b4..f4b38bea14e 100644
--- a/litellm/proxy/policy_engine/policy_endpoints.py
+++ b/litellm/proxy/policy_engine/policy_endpoints.py
@@ -61,6 +61,7 @@ def _config_attachment_to_db_response(index: int, attachment: PolicyAttachment)
models=attachment.models or [],
tags=attachment.tags or [],
priority=attachment.priority,
+ default=attachment.default,
definition_location="config",
)
diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma
index d2032cec0d0..2d7e557a9d1 100644
--- a/litellm/proxy/schema.prisma
+++ b/litellm/proxy/schema.prisma
@@ -1419,6 +1419,7 @@ model LiteLLM_PolicyAttachmentTable {
models String[] @default([]) // Model names or patterns
tags String[] @default([]) // Tag patterns (e.g., ["healthcare", "prod-*"])
priority Int? // Explicit execution order
+ is_default Boolean @default(false) // Applied only when no non-default attachment matches
created_at DateTime @default(now())
created_by String?
updated_at DateTime @default(now()) @updatedAt
diff --git a/litellm/types/proxy/policy_engine/policy_types.py b/litellm/types/proxy/policy_engine/policy_types.py
index 66e5fbb4b49..73eeffa3585 100644
--- a/litellm/types/proxy/policy_engine/policy_types.py
+++ b/litellm/types/proxy/policy_engine/policy_types.py
@@ -294,6 +294,10 @@ class PolicyAttachment(BaseModel):
le=2147483647,
description="Explicit execution order, lower runs first. Prioritised attachments run before those without one.",
)
+ default: bool = Field(
+ default=False,
+ description="Apply this attachment only when no non-default attachment matches the request.",
+ )
model_config = ConfigDict(extra="forbid")
diff --git a/litellm/types/proxy/policy_engine/resolver_types.py b/litellm/types/proxy/policy_engine/resolver_types.py
index e6f501ed4b5..ebdedb98b12 100644
--- a/litellm/types/proxy/policy_engine/resolver_types.py
+++ b/litellm/types/proxy/policy_engine/resolver_types.py
@@ -311,6 +311,10 @@ class PolicyAttachmentCreateRequest(BaseModel):
le=2147483647,
description="Explicit execution order, lower runs first. Prioritised attachments run before those without one.",
)
+ default: bool = Field(
+ default=False,
+ description="Apply this attachment only when no non-default attachment matches the request.",
+ )
class PolicyAttachmentDBResponse(BaseModel):
@@ -327,6 +331,10 @@ class PolicyAttachmentDBResponse(BaseModel):
default=None,
description="Explicit execution order, lower runs first. Prioritised attachments run before those without one.",
)
+ default: bool = Field(
+ default=False,
+ description="Apply this attachment only when no non-default attachment matches the request.",
+ )
created_at: datetime | None = Field(default=None, description="When the attachment was created.")
updated_at: datetime | None = Field(default=None, description="When the attachment was last updated.")
created_by: str | None = Field(default=None, description="Who created the attachment.")
diff --git a/schema.prisma b/schema.prisma
index d2032cec0d0..2d7e557a9d1 100644
--- a/schema.prisma
+++ b/schema.prisma
@@ -1419,6 +1419,7 @@ model LiteLLM_PolicyAttachmentTable {
models String[] @default([]) // Model names or patterns
tags String[] @default([]) // Tag patterns (e.g., ["healthcare", "prod-*"])
priority Int? // Explicit execution order
+ is_default Boolean @default(false) // Applied only when no non-default attachment matches
created_at DateTime @default(now())
created_by String?
updated_at DateTime @default(now()) @updatedAt
diff --git a/tests/test_litellm/proxy/policy_engine/test_attachment_registry.py b/tests/test_litellm/proxy/policy_engine/test_attachment_registry.py
index 089bec59583..b419f3db060 100644
--- a/tests/test_litellm/proxy/policy_engine/test_attachment_registry.py
+++ b/tests/test_litellm/proxy/policy_engine/test_attachment_registry.py
@@ -30,9 +30,7 @@ class TestGetAttachedPolicies:
)
# Should match any context
- context = PolicyMatchContext(
- team_alias="any-team", key_alias="any-key", model="any-model"
- )
+ context = PolicyMatchContext(team_alias="any-team", key_alias="any-key", model="any-model")
attached = registry.get_attached_policies(context)
assert "global-baseline" in attached
@@ -46,15 +44,11 @@ class TestGetAttachedPolicies:
)
# Match
- context = PolicyMatchContext(
- team_alias="healthcare-team", key_alias="key", model="gpt-4"
- )
+ context = PolicyMatchContext(team_alias="healthcare-team", key_alias="key", model="gpt-4")
assert "healthcare-policy" in registry.get_attached_policies(context)
# No match - different team
- context_other = PolicyMatchContext(
- team_alias="finance-team", key_alias="key", model="gpt-4"
- )
+ context_other = PolicyMatchContext(team_alias="finance-team", key_alias="key", model="gpt-4")
assert "healthcare-policy" not in registry.get_attached_policies(context_other)
def test_key_wildcard_pattern_attachment(self):
@@ -67,15 +61,11 @@ class TestGetAttachedPolicies:
)
# Match - key starts with dev-key-
- context = PolicyMatchContext(
- team_alias="team", key_alias="dev-key-123", model="gpt-4"
- )
+ context = PolicyMatchContext(team_alias="team", key_alias="dev-key-123", model="gpt-4")
assert "dev-policy" in registry.get_attached_policies(context)
# No match - different prefix
- context_prod = PolicyMatchContext(
- team_alias="team", key_alias="prod-key-123", model="gpt-4"
- )
+ context_prod = PolicyMatchContext(team_alias="team", key_alias="prod-key-123", model="gpt-4")
assert "dev-policy" not in registry.get_attached_policies(context_prod)
def test_model_specific_attachment(self):
@@ -92,9 +82,7 @@ class TestGetAttachedPolicies:
assert "gpt4-policy" in registry.get_attached_policies(context)
# No match
- context_other = PolicyMatchContext(
- team_alias="team", key_alias="key", model="gpt-3.5"
- )
+ context_other = PolicyMatchContext(team_alias="team", key_alias="key", model="gpt-3.5")
assert "gpt4-policy" not in registry.get_attached_policies(context_other)
def test_model_wildcard_pattern(self):
@@ -107,15 +95,11 @@ class TestGetAttachedPolicies:
)
# Match
- context = PolicyMatchContext(
- team_alias="team", key_alias="key", model="bedrock/claude-3"
- )
+ context = PolicyMatchContext(team_alias="team", key_alias="key", model="bedrock/claude-3")
assert "bedrock-policy" in registry.get_attached_policies(context)
# No match
- context_other = PolicyMatchContext(
- team_alias="team", key_alias="key", model="openai/gpt-4"
- )
+ context_other = PolicyMatchContext(team_alias="team", key_alias="key", model="openai/gpt-4")
assert "bedrock-policy" not in registry.get_attached_policies(context_other)
def test_multiple_attachments_match_same_context(self):
@@ -129,9 +113,7 @@ class TestGetAttachedPolicies:
]
)
- context = PolicyMatchContext(
- team_alias="healthcare-team", key_alias="key", model="gpt-4"
- )
+ context = PolicyMatchContext(team_alias="healthcare-team", key_alias="key", model="gpt-4")
attached = registry.get_attached_policies(context)
# All three should match
@@ -277,9 +259,7 @@ class TestGetAttachedPolicies:
]
)
- context = PolicyMatchContext(
- team_alias="healthcare-team", key_alias="key", model="gpt-4"
- )
+ context = PolicyMatchContext(team_alias="healthcare-team", key_alias="key", model="gpt-4")
attached = registry.get_attached_policies(context)
# Should only appear once
@@ -288,9 +268,7 @@ class TestGetAttachedPolicies:
def test_many_distinct_policies_resolve_in_linear_time(self):
policy_count = 20_000
registry = AttachmentRegistry()
- registry.load_attachments(
- [{"policy": f"policy-{index}", "scope": "*"} for index in range(policy_count)]
- )
+ registry.load_attachments([{"policy": f"policy-{index}", "scope": "*"} for index in range(policy_count)])
context = PolicyMatchContext(team_alias="team", key_alias="key", model="gpt-4")
started = time.perf_counter()
@@ -318,9 +296,7 @@ class TestGetAttachedPolicies:
]
)
- context = PolicyMatchContext(
- team_alias="finance-team", key_alias="key", model="gpt-4"
- )
+ context = PolicyMatchContext(team_alias="finance-team", key_alias="key", model="gpt-4")
attached = registry.get_attached_policies(context)
assert attached == []
@@ -338,23 +314,15 @@ class TestGetAttachedPolicies:
)
# Match - both team and model match
- context = PolicyMatchContext(
- team_alias="healthcare-team", key_alias="key", model="gpt-4"
- )
+ context = PolicyMatchContext(team_alias="healthcare-team", key_alias="key", model="gpt-4")
assert "strict-policy" in registry.get_attached_policies(context)
# No match - team matches but model doesn't
- context_wrong_model = PolicyMatchContext(
- team_alias="healthcare-team", key_alias="key", model="gpt-3.5"
- )
- assert "strict-policy" not in registry.get_attached_policies(
- context_wrong_model
- )
+ context_wrong_model = PolicyMatchContext(team_alias="healthcare-team", key_alias="key", model="gpt-3.5")
+ assert "strict-policy" not in registry.get_attached_policies(context_wrong_model)
# No match - model matches but team doesn't
- context_wrong_team = PolicyMatchContext(
- team_alias="finance-team", key_alias="key", model="gpt-4"
- )
+ context_wrong_team = PolicyMatchContext(team_alias="finance-team", key_alias="key", model="gpt-4")
assert "strict-policy" not in registry.get_attached_policies(context_wrong_team)
@@ -527,6 +495,79 @@ class TestMatchAttribution:
assert "catch-all" in attached
+class TestDefaultAttachments:
+ """`default: true` attachments apply only when no non-default attachment matches."""
+
+ @staticmethod
+ def _registry() -> AttachmentRegistry:
+ registry = AttachmentRegistry()
+ registry.load_attachments(
+ [
+ {"policy": "guardrail-y", "scope": "*", "default": True},
+ {"policy": "guardrail-x", "tags": ["opt-in"]},
+ ]
+ )
+ return registry
+
+ def test_opted_in_request_gets_only_the_opt_in_policy(self):
+ context = PolicyMatchContext(team_alias="t", key_alias="k", model="gpt-5.2", tags=["opt-in"])
+
+ assert self._registry().get_attached_policies(context) == ["guardrail-x"]
+
+ def test_request_without_opt_in_falls_back_to_default_policy(self):
+ context = PolicyMatchContext(team_alias="t", key_alias="k", model="gpt-5.2")
+
+ assert self._registry().get_attached_policies(context) == ["guardrail-y"]
+
+ def test_default_attachment_still_honors_its_own_scope(self):
+ registry = AttachmentRegistry()
+ registry.load_attachments([{"policy": "team-default", "teams": ["team-a"], "default": True}])
+
+ assert registry.get_attached_policies(PolicyMatchContext(team_alias="team-a", key_alias="k", model="m")) == [
+ "team-default"
+ ]
+ assert registry.get_attached_policies(PolicyMatchContext(team_alias="team-b", key_alias="k", model="m")) == []
+
+ def test_all_matching_defaults_apply_when_nothing_else_matches(self):
+ registry = AttachmentRegistry()
+ registry.load_attachments(
+ [
+ {"policy": "default-a", "scope": "*", "default": True},
+ {"policy": "default-b", "teams": ["team-a"], "default": True},
+ {"policy": "opt-in", "tags": ["opt-in"]},
+ ]
+ )
+ context = PolicyMatchContext(team_alias="team-a", key_alias="k", model="m")
+
+ assert registry.get_attached_policies(context) == ["default-a", "default-b"]
+
+ def test_non_default_attachments_remain_additive(self):
+ registry = AttachmentRegistry()
+ registry.load_attachments(
+ [
+ {"policy": "baseline", "scope": "*"},
+ {"policy": "opt-in", "tags": ["opt-in"]},
+ {"policy": "fallback", "scope": "*", "default": True},
+ ]
+ )
+ context = PolicyMatchContext(team_alias="t", key_alias="k", model="m", tags=["opt-in"])
+
+ assert registry.get_attached_policies(context) == ["baseline", "opt-in"]
+
+ def test_default_match_reason_is_labelled(self):
+ context = PolicyMatchContext(team_alias="t", key_alias="k", model="m")
+
+ results = self._registry().get_attached_policies_with_reasons(context)
+
+ assert results == [{"policy_name": "guardrail-y", "matched_via": "default:scope:*"}]
+
+ def test_default_defaults_to_false_when_omitted(self):
+ registry = AttachmentRegistry()
+ registry.load_attachments([{"policy": "p"}])
+
+ assert registry.get_all_attachments()[0].default is False
+
+
class TestAttachmentRegistrySingleton:
"""Test global singleton behavior."""
@@ -557,6 +598,7 @@ def _make_db_attachment_row(
scope: str | None = None,
teams: list[str] | None = None,
priority: int | None = None,
+ is_default: bool = False,
) -> MagicMock:
row = MagicMock()
row.attachment_id = attachment_id
@@ -567,6 +609,7 @@ def _make_db_attachment_row(
row.models = []
row.tags = []
row.priority = priority
+ row.is_default = is_default
row.created_at = datetime.now(timezone.utc)
row.updated_at = datetime.now(timezone.utc)
row.created_by = None
@@ -576,9 +619,7 @@ def _make_db_attachment_row(
def _prisma_with_attachment_rows(rows: list[MagicMock]) -> MagicMock:
prisma = MagicMock()
- prisma.configure_mock(
- **{"db.litellm_policyattachmenttable.find_many": AsyncMock(return_value=rows)}
- )
+ prisma.configure_mock(**{"db.litellm_policyattachmenttable.find_many": AsyncMock(return_value=rows)})
return prisma
@@ -629,6 +670,15 @@ class TestConfigAttachmentsPreservedAcrossDbSync:
assert registry.get_all_attachments()[0].priority == 7
+ @pytest.mark.asyncio
+ async def test_sync_round_trips_db_attachment_default_flag(self):
+ registry = AttachmentRegistry()
+ db_row = _make_db_attachment_row(is_default=True)
+
+ await registry.sync_attachments_from_db(_prisma_with_attachment_rows([db_row]))
+
+ assert registry.get_all_attachments()[0].default is True
+
@pytest.mark.asyncio
async def test_clear_removes_config_snapshot_so_sync_does_not_resurrect(self):
registry = AttachmentRegistry()
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/AttachmentTable.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/AttachmentTable.test.tsx
index 43ad6a7cc9e..be83f73bb2e 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/AttachmentTable.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/AttachmentTable.test.tsx
@@ -65,6 +65,19 @@ describe("AttachmentTable", () => {
);
});
+ it("should show a Default badge only for default attachments", () => {
+ const attachments = [
+ makeAttachment({ attachment_id: "att-def00001", policy_name: "fallback", default: true }),
+ makeAttachment({ attachment_id: "att-def00002", policy_name: "regular" }),
+ ];
+ renderWithProviders( );
+ const rows = screen.getAllByRole("row").slice(1);
+ const fallbackRow = rows.find((row) => within(row).queryByText("fallback"));
+ const regularRow = rows.find((row) => within(row).queryByText("regular"));
+ expect(within(fallbackRow!).getByText("Default")).toBeInTheDocument();
+ expect(within(regularRow!).queryByText("Default")).not.toBeInTheDocument();
+ });
+
it("should show skeleton rows when isLoading is true", () => {
renderWithProviders( );
expect(screen.getAllByTestId("skeleton-row").length).toBeGreaterThan(0);
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/AttachmentTableColumns.tsx b/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/AttachmentTableColumns.tsx
index 9a190401d08..3265b9db834 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/AttachmentTableColumns.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/AttachmentTableColumns.tsx
@@ -181,6 +181,20 @@ export const getAttachmentTableColumns = ({
{row.original.priority}
),
},
+ {
+ id: "default",
+ accessorFn: (row) => (row.default ? 1 : 0),
+ meta: { title: "Default" },
+ header: ({ column }) => ,
+ size: 100,
+ enableSorting: true,
+ cell: ({ row }) =>
+ row.original.default ? (
+
+ ) : (
+ -
+ ),
+ },
{
id: "created_at",
accessorFn: (row) => row.created_at ?? "",
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/add_attachment_form.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/add_attachment_form.test.tsx
index dfc023d428e..14af4a2b8f3 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/add_attachment_form.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/add_attachment_form.test.tsx
@@ -237,6 +237,21 @@ describe("AddAttachmentForm", () => {
expect(createAttachment).toHaveBeenCalledWith("test-token", { policy_name: "policy-alpha", scope: "*" });
});
+ it("sends default: true when the Default switch is turned on", async () => {
+ const user = userEvent.setup();
+ const createAttachment = vi.fn().mockResolvedValue({});
+ renderWithProviders( );
+ await selectPolicy(user, "policy-alpha");
+ await user.click(screen.getByRole("switch", { name: /default/i }));
+ await submit(user);
+ await waitFor(() => expect(createAttachment).toHaveBeenCalledTimes(1));
+ expect(createAttachment).toHaveBeenCalledWith("test-token", {
+ policy_name: "policy-alpha",
+ scope: "*",
+ default: true,
+ });
+ });
+
it.each([
["2147483648", /at most 2147483647/i],
["-2147483649", /at least -2147483648/i],
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/add_attachment_form.tsx b/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/add_attachment_form.tsx
index 02463a89139..74c4978392f 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/add_attachment_form.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/policies/_components/add_attachment_form.tsx
@@ -11,6 +11,7 @@ import { Button } from "@/components/ui/button";
import { Input } from "@/components/ui/input";
import { RadioGroup, RadioGroupItem } from "@/components/ui/radio-group";
import { Separator } from "@/components/ui/separator";
+import { Switch } from "@/components/ui/switch";
import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from "@/components/ui/tooltip";
import { UiLoadingSpinner } from "@/components/ui/ui-loading-spinner";
import { useZodForm } from "@/lib/forms/useZodForm";
@@ -38,6 +39,7 @@ interface AttachmentFormValues {
models: string[];
tags: string[];
priority: number | null;
+ default: boolean;
}
const EMPTY_VALUES: AttachmentFormValues = {
@@ -47,6 +49,7 @@ const EMPTY_VALUES: AttachmentFormValues = {
models: [],
tags: [],
priority: null,
+ default: false,
};
const INT32_MIN = -2147483648;
@@ -64,6 +67,7 @@ const attachmentShape = {
.min(INT32_MIN, `Priority must be at least ${INT32_MIN}`)
.max(INT32_MAX, `Priority must be at most ${INT32_MAX}`)
.nullable(),
+ default: z.boolean(),
};
const buildAttachmentSchema = (scopeType: ScopeType, teamsLoaded: boolean, availableTeams: string[]) =>
@@ -453,6 +457,20 @@ const AddAttachmentForm: React.FC = ({
/>
)}