fix(llm): classify zai token limit overflow (#35671)
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@@ -6,6 +6,7 @@ const patterns = [
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/input is too long for requested model/i,
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/input is too long for requested model/i,
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/exceeds the context window/i,
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/exceeds the context window/i,
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/input token count.*exceeds the maximum/i,
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/input token count.*exceeds the maximum/i,
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/tokens in request more than max tokens allowed/i,
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/maximum prompt length is \d+/i,
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/maximum prompt length is \d+/i,
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/reduce the length of the messages/i,
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/reduce the length of the messages/i,
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/maximum context length is \d+ tokens/i,
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/maximum context length is \d+ tokens/i,
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@@ -0,0 +1,8 @@
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import { describe, expect, test } from "bun:test"
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import { isContextOverflow } from "../src"
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describe("provider error classification", () => {
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test("classifies Z.AI GLM token limit messages as context overflow", () => {
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expect(isContextOverflow("tokens in request more than max tokens allowed")).toBe(true)
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})
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})
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@@ -1448,6 +1448,7 @@ describe("session.message-v2.fromError", () => {
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"prompt is too long: 213462 tokens > 200000 maximum",
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"prompt is too long: 213462 tokens > 200000 maximum",
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"Your input exceeds the context window of this model",
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"Your input exceeds the context window of this model",
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"The input token count (1196265) exceeds the maximum number of tokens allowed (1048575)",
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"The input token count (1196265) exceeds the maximum number of tokens allowed (1048575)",
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"tokens in request more than max tokens allowed",
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"Please reduce the length of the messages or completion",
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"Please reduce the length of the messages or completion",
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"400 status code (no body)",
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"400 status code (no body)",
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"413 status code (no body)",
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"413 status code (no body)",
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