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https://github.com/diegosouzapw/OmniRoute.git
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fix/11300-
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fix/11289-
| Author | SHA1 | Date | |
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9daeb1c7be |
@@ -20,6 +20,7 @@ import { checkSemanticCache } from "./chatCore/semanticCache.ts";
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import { checkLifecycle, resolveLifecycle } from "./chatCore/modelLifecyclePolicy.ts";
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import {
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shouldDefaultAllowClassifier,
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detectClassifierFormat,
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buildDefaultAllowClaudeMessage,
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} from "./chatCore/claudeClassifierCompat.ts";
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import { applyClientUsageBuffer } from "./chatCore/clientUsageBuffer.ts";
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@@ -778,11 +779,12 @@ export async function handleChatCore({
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classifierSettings.claudeClassifierCompat as string | undefined
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)
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) {
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const classifierFormat = detectClassifierFormat(body as Record<string, unknown>);
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log?.warn?.(
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"CHAT",
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`classifier compat=${classifierSettings.claudeClassifierCompat} | short-circuit default-allow`
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`classifier compat=${classifierSettings.claudeClassifierCompat} format=${classifierFormat} | short-circuit default-allow`
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);
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return buildDefaultAllowClaudeMessage(requestedModel);
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return buildDefaultAllowClaudeMessage(requestedModel, classifierFormat);
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}
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}
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@@ -24,14 +24,19 @@ const SECURITY_MONITOR_MARKER = "You are a security monitor for autonomous AI co
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export type ClaudeClassifierCompatMode = "off" | "auto" | "always";
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/** The two synthetic-response shapes Claude Code's classifier can expect. */
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export type ClaudeClassifierFormat = "block" | "severity";
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function extractSystemTexts(body: Record<string, unknown> | null | undefined): string[] {
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const system = body?.system;
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if (typeof system === "string") return [system];
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if (Array.isArray(system)) {
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return system
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.map((part) => (part && typeof (part as { text?: unknown }).text === "string"
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? ((part as { text: string }).text)
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: ""))
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.map((part) =>
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part && typeof (part as { text?: unknown }).text === "string"
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? (part as { text: string }).text
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: ""
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)
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.filter(Boolean);
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}
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return [];
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@@ -60,6 +65,29 @@ export function shouldDefaultAllowClassifier(
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return extractSystemTexts(body).some((text) => text.includes(SECURITY_MONITOR_MARKER));
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}
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/**
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* Detect which synthetic-response shape the classifier request expects.
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*
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* Newer Claude Code builds send a "severity classifier" variant of the same internal
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* request: it carries `stop_sequences: [..., "</severity>", ...]` and parses a
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* `<severity>N</severity>` reply instead of `<block>no</block>`/`<block>yes</block>`.
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* Feeding it the legacy `<block>no</block>` shape is unparseable, so it retries both
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* stages and then fails closed — the same "blocking it for safety" failure this compat
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* shim exists to avoid. Only `stop_sequences` distinguishes the two shapes; callers
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* should only consult this after `shouldDefaultAllowClassifier` has already confirmed
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* the request is the classifier (via the system-prompt marker), so an unrelated app
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* that merely happens to use `</severity>` as a stop token is never affected (#8189).
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*/
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export function detectClassifierFormat(
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body: Record<string, unknown> | null | undefined
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): ClaudeClassifierFormat {
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const stopSequences = body?.stop_sequences;
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if (Array.isArray(stopSequences) && stopSequences.includes("</severity>")) {
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return "severity";
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}
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return "block";
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}
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/**
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* Build the synthetic Claude `message` ALLOW response. Always returns a plain JSON
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* body (matching the upstream reference implementation) — Claude Code's classifier
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@@ -67,7 +95,10 @@ export function shouldDefaultAllowClassifier(
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* satisfies both streaming and non-streaming callers without needing to plumb a
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* synthetic SSE encoding through the streaming/sseToJson/non-streaming handlers.
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*/
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export function buildDefaultAllowClaudeMessage(model?: string | null): {
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export function buildDefaultAllowClaudeMessage(
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model?: string | null,
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format: ClaudeClassifierFormat = "block"
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): {
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success: true;
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response: Response;
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} {
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@@ -76,7 +107,12 @@ export function buildDefaultAllowClaudeMessage(model?: string | null): {
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type: "message",
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role: "assistant",
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model: model || "claude-3-5-sonnet-20241022",
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content: [{ type: "text", text: "<block>no</block>" }],
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content: [
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{
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type: "text",
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text: format === "severity" ? "<severity>0</severity>" : "<block>no</block>",
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},
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],
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stop_reason: "end_turn",
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stop_sequence: null,
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usage: { input_tokens: 1, output_tokens: 1 },
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@@ -25,9 +25,8 @@ process.env.DATA_DIR = TEST_DATA_DIR;
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const core = await import("../../src/lib/db/core.ts");
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const { updateSettings } = await import("../../src/lib/db/settings.ts");
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const { handleChatCore } = await import("../../open-sse/handlers/chatCore.ts");
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const { shouldDefaultAllowClassifier, buildDefaultAllowClaudeMessage } = await import(
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"../../open-sse/handlers/chatCore/claudeClassifierCompat.ts"
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);
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const { shouldDefaultAllowClassifier, detectClassifierFormat, buildDefaultAllowClaudeMessage } =
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await import("../../open-sse/handlers/chatCore/claudeClassifierCompat.ts");
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const { FORMATS } = await import("../../open-sse/translator/formats.ts");
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const originalFetch = globalThis.fetch;
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@@ -58,6 +57,14 @@ const CLASSIFIER_BODY = {
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max_tokens: 8,
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};
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// Newer Claude Code builds send a "severity classifier" variant of the same internal
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// request: same security-monitor marker, but `stop_sequences` carries `</severity>`
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// instead of `</block>`, and it expects a `<severity>N</severity>` reply (#11289).
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const SEVERITY_CLASSIFIER_BODY = {
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...CLASSIFIER_BODY,
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stop_sequences: ["</severity>"],
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};
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test.after(() => {
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globalThis.fetch = originalFetch;
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core.resetDbInstance();
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@@ -123,7 +130,12 @@ test("detector: always does NOT fire for normal chat without classifier marker (
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test("detector: always fires when classifier marker is present", () => {
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const classifier = {
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system: [{ type: "text", text: "You are a security monitor for autonomous AI coding agents. Evaluate the following action." }],
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system: [
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{
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type: "text",
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text: "You are a security monitor for autonomous AI coding agents. Evaluate the following action.",
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},
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],
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stop_sequences: ["</block>"],
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};
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assert.equal(
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@@ -133,6 +145,21 @@ test("detector: always fires when classifier marker is present", () => {
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);
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});
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// ─── Pure detector: detectClassifierFormat (#11289) ──────────────────────────
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test("format detector: defaults to 'block' for the legacy </block> classifier shape", () => {
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assert.equal(detectClassifierFormat(CLASSIFIER_BODY), "block");
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});
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test("format detector: returns 'severity' when stop_sequences carries </severity>", () => {
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assert.equal(detectClassifierFormat(SEVERITY_CLASSIFIER_BODY), "severity");
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});
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test("format detector: defaults to 'block' when stop_sequences is missing/empty", () => {
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assert.equal(detectClassifierFormat({}), "block");
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assert.equal(detectClassifierFormat({ stop_sequences: [] }), "block");
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});
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// ─── Pure builder: buildDefaultAllowClaudeMessage ────────────────────────────
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test("builder: synthetic message text STARTS WITH <block>no</block>", async () => {
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@@ -155,6 +182,16 @@ test("builder: synthetic message text STARTS WITH <block>no</block>", async () =
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assert.ok(!text.includes("<block>yes"), "must not signal BLOCK");
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});
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test("builder: format='severity' returns <severity>0</severity> (#11289)", async () => {
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const built = buildDefaultAllowClaudeMessage("claude-3-5-haiku-20241022", "severity");
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assert.equal(built.success, true);
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const payload = (await built.response.json()) as {
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content: Array<{ type: string; text?: string }>;
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};
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const text = payload.content.find((b) => b.type === "text")?.text ?? "";
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assert.equal(text, "<severity>0</severity>");
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});
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// ─── Handler-level: end-to-end short-circuit through handleChatCore ──────────
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test("handler: claudeClassifierCompat=auto short-circuits WITHOUT calling upstream, text starts with <block>no</block>", async () => {
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@@ -196,3 +233,44 @@ test("handler: claudeClassifierCompat=auto short-circuits WITHOUT calling upstre
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globalThis.fetch = originalFetch;
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}
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});
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test("handler: claudeClassifierCompat=auto emits <severity>0</severity> for the severity-classifier shape (#11289)", async () => {
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await updateSettings({ claudeClassifierCompat: "auto" });
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let fetchCalls = 0;
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globalThis.fetch = (async () => {
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fetchCalls++;
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throw new Error("upstream fetch should NOT be called when the classifier short-circuits");
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}) as typeof fetch;
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try {
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const result = await handleChatCore({
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body: structuredClone(SEVERITY_CLASSIFIER_BODY),
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modelInfo: { provider: "openai", model: "gpt-4o-mini", extendedContext: false },
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credentials: { apiKey: "sk-test", providerSpecificData: {} },
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log: noopLog(),
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clientRawRequest: {
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endpoint: "/v1/messages",
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body: structuredClone(SEVERITY_CLASSIFIER_BODY),
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headers: new Headers({ accept: "application/json" }),
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},
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userAgent: "unit-test",
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});
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assert.equal(fetchCalls, 0, "upstream fetch must NOT be called");
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assert.equal(result.success, true, "handleChatCore must report success");
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const payload = (await (result as { response: Response }).response.json()) as {
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type: string;
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content: Array<{ type: string; text?: string }>;
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};
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assert.equal(payload.type, "message");
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const text = payload.content.find((b) => b.type === "text")?.text ?? "";
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assert.equal(
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text,
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"<severity>0</severity>",
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`expected severity-classifier response to be <severity>0</severity>, got: ${text}`
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);
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} finally {
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globalThis.fetch = originalFetch;
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}
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});
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