Revert "fix(opencode): preserve signed thinking during anthropic reorder" (#30502)
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@ -230,18 +230,6 @@ function normalizeMessages(
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const parts = msg.content
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const first = parts.findIndex((part) => part.type === "tool-call")
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if (first === -1) return [msg]
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// Anthropic signs thinking blocks, so moving them during replay invalidates the request.
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if (
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parts
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.slice(first)
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.some(
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(part) =>
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part.type === "reasoning" &&
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(part.providerOptions?.anthropic?.signature != null ||
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part.providerOptions?.anthropic?.redactedData != null),
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)
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)
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return [msg]
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if (!parts.slice(first).some((part) => part.type !== "tool-call")) return [msg]
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return [
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{ ...msg, content: parts.filter((part) => part.type !== "tool-call") },
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@ -1680,25 +1680,6 @@ describe("ProviderTransform.message - anthropic empty content filtering", () =>
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])
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})
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test("leaves signed anthropic reasoning after tool calls unchanged", () => {
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const msgs = [
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{
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role: "assistant",
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content: [
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{ type: "reasoning", text: "First thought", providerOptions: { anthropic: { signature: "sig-1" } } },
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{ type: "tool-call", toolCallId: "toolu_1", toolName: "read", input: { filePath: "/root" } },
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{ type: "reasoning", text: "Second thought", providerOptions: { anthropic: { signature: "sig-2" } } },
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{ type: "tool-call", toolCallId: "toolu_2", toolName: "glob", input: { pattern: "**/*.pdf" } },
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],
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},
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] as any[]
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const result = ProviderTransform.message(msgs, anthropicModel, {}) as any[]
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expect(result).toHaveLength(1)
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expect(result[0].content).toMatchObject(msgs[0].content)
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})
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test("splits vertex anthropic assistant messages when text trails tool calls", () => {
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const model = {
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...anthropicModel,
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@ -1736,34 +1717,6 @@ describe("ProviderTransform.message - anthropic empty content filtering", () =>
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],
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})
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})
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test("leaves redacted vertex anthropic reasoning after tool calls unchanged", () => {
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const model = {
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...anthropicModel,
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providerID: "google-vertex-anthropic",
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api: {
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id: "claude-sonnet-4@20250514",
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url: "https://us-central1-aiplatform.googleapis.com",
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npm: "@ai-sdk/google-vertex/anthropic",
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},
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}
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const msgs = [
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{
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role: "assistant",
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content: [
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{ type: "tool-call", toolCallId: "toolu_1", toolName: "read", input: { filePath: "/root" } },
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{ type: "reasoning", text: "", providerOptions: { anthropic: { redactedData: "redacted-1" } } },
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{ type: "tool-call", toolCallId: "toolu_2", toolName: "glob", input: { pattern: "**/*.pdf" } },
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],
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},
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] as any[]
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const result = ProviderTransform.message(msgs, model, {}) as any[]
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expect(result).toHaveLength(1)
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expect(result[0].content).toMatchObject(msgs[0].content)
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})
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})
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describe("ProviderTransform.message - strip openai metadata when store=false", () => {
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