omp: add patch that fixes deepseek
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@@ -38,7 +38,12 @@ in
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{
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{
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home.packages = [
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home.packages = [
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(inputs.llm-agents.packages.${pkgs.stdenv.hostPlatform.system}.omp.overrideAttrs (old: {
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(inputs.llm-agents.packages.${pkgs.stdenv.hostPlatform.system}.omp.overrideAttrs (old: {
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patches = (old.patches or [ ]) ++ [ ];
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patches = (old.patches or [ ]) ++ [
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# Retry without strict tools when DeepSeek (via OpenRouter) rejects strict-mode `anyOf`
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# nullable unions with `Invalid tool parameters schema : field \`anyOf\`: missing field \`type\``.
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# Upstream PR: pending; applies cleanly against v14.2.1.
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../../patches/omp/0001-openai-completions-retry-without-strict-on-deepseek-openrouter.patch
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];
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}))
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}))
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];
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];
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@@ -0,0 +1,126 @@
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Subject: [PATCH] fix(openai-completions): retry without strict tools for DeepSeek-via-OpenRouter anyOf rejections
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The retry-on-strict-tool-error path in openai-completions failed to recover when
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DeepSeek (and similar backends fronted by OpenRouter) reject strict-mode tool
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schemas with errors of the form:
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Invalid tool parameters schema : field `anyOf`: missing field `type`
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Two reasons:
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1. Retry only triggered in "all_strict" mode. OpenRouter defaults to "mixed"
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(per-tool strict), so the early return prevented retry.
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2. The error-message regex required "strict" near "tool". DeepSeek's message
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never mentions "strict".
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Fix:
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- Allow retry whenever any tool was sent with strict (i.e. mode != "none").
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- Recognize "Invalid tool parameters" in the regex.
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Includes a regression test reproducing the exact DeepSeek error body via
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OpenRouter mixed-strict mode.
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Applies cleanly against v14.2.1.
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---
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diff --git a/packages/ai/src/providers/openai-completions.ts b/packages/ai/src/providers/openai-completions.ts
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index e58189607..3c20631c1 100644
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--- a/packages/ai/src/providers/openai-completions.ts
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+++ b/packages/ai/src/providers/openai-completions.ts
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@@ -1245,7 +1245,10 @@ function shouldRetryWithoutStrictTools(
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toolStrictMode: AppliedToolStrictMode,
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tools: Tool[] | undefined,
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): boolean {
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- if (!tools || tools.length === 0 || toolStrictMode !== "all_strict") {
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+ // Retry whenever any tool was sent with `strict: true`. OpenRouter routes to underlying
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+ // providers (e.g. DeepSeek) whose schema validators reject the strict-mode `anyOf` shape
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+ // even when omp emitted strict per-tool ("mixed"), not just provider-wide ("all_strict").
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+ if (!tools || tools.length === 0 || toolStrictMode === "none") {
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return false;
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}
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const status = extractHttpStatusFromError(error) ?? capturedErrorResponse?.status;
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@@ -1255,7 +1258,14 @@ function shouldRetryWithoutStrictTools(
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const messageParts = [error instanceof Error ? error.message : undefined, capturedErrorResponse?.bodyText]
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.filter((value): value is string => typeof value === "string" && value.trim().length > 0)
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.join("\n");
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- return /wrong_api_format|mixed values for 'strict'|tool[s]?\b.*strict|\bstrict\b.*tool/i.test(messageParts);
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+ // Patterns:
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+ // - `wrong_api_format`, `mixed values for 'strict'`: OpenAI rejecting mixed strict flags.
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+ // - `tool ... strict` / `strict ... tool`: generic strict-tool complaints.
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+ // - `Invalid tool parameters schema`: DeepSeek (via OpenRouter) rejecting strict-mode
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+ // nullable unions because their validator demands `type` alongside `anyOf`.
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+ return /wrong_api_format|mixed values for 'strict'|tool[s]?\b.*strict|\bstrict\b.*tool|invalid tool parameters/i.test(
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+ messageParts,
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+ );
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}
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function mapStopReason(reason: ChatCompletionChunk.Choice["finish_reason"] | string): {
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diff --git a/packages/ai/test/openai-tool-strict-mode.test.ts b/packages/ai/test/openai-tool-strict-mode.test.ts
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index 2bf17e6d8..24d5a09d5 100644
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--- a/packages/ai/test/openai-tool-strict-mode.test.ts
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+++ b/packages/ai/test/openai-tool-strict-mode.test.ts
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@@ -231,6 +231,64 @@ describe("OpenAI tool strict mode", () => {
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expect(result.content).toContainEqual({ type: "text", text: "Hello" });
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expect(strictFlags).toEqual([[true], [false]]);
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});
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+ it("retries with non-strict tool schemas when OpenRouter backend rejects strict anyOf nullable unions", async () => {
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+ // Reproduces deepseek/deepseek-v4-pro via OpenRouter rejecting the strict-mode schema with:
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+ // 400 Provider returned error
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+ // {"error":{"message":"Invalid tool parameters schema : field `anyOf`: missing field `type`",...}}
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+ // OpenRouter is in mixed-strict mode by default (per-tool strict), so the original retry condition
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+ // (only "all_strict") prevented recovery. The retry now triggers whenever any tool sent strict=true.
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+ const model = getBundledModel("openrouter", "deepseek/deepseek-v3.2") as Model<"openai-completions">;
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+ const strictFlags: boolean[][] = [];
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+ global.fetch = Object.assign(
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+ async (_input: string | URL | Request, init?: RequestInit): Promise<Response> => {
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+ const bodyText = typeof init?.body === "string" ? init.body : "";
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+ const payload = JSON.parse(bodyText) as {
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+ tools?: Array<{ function?: { strict?: boolean } }>;
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+ };
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+ strictFlags.push((payload.tools ?? []).map(tool => tool.function?.strict === true));
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+ if (strictFlags.length === 1) {
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+ return new Response(
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+ JSON.stringify({
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+ error: {
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+ message: "Invalid tool parameters schema : field `anyOf`: missing field `type`",
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+ type: "invalid_request_error",
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+ param: null,
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+ code: "invalid_request_error",
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+ },
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+ }),
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+ {
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+ status: 400,
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+ headers: { "content-type": "application/json" },
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+ },
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+ );
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+ }
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+ return createSseResponse([
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+ {
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+ id: "chatcmpl-or",
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+ object: "chat.completion.chunk",
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+ created: 0,
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+ model: model.id,
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+ choices: [{ index: 0, delta: { content: "Hello" } }],
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+ },
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+ {
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+ id: "chatcmpl-or",
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+ object: "chat.completion.chunk",
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+ created: 0,
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+ model: model.id,
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+ choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
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+ },
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+ "[DONE]",
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+ ]);
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+ },
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+ { preconnect: originalFetch.preconnect },
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+ );
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+
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+ const result = await streamOpenAICompletions(model, testContext, { apiKey: "test-key" }).result();
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+ expect(result.stopReason).toBe("stop");
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+ expect(result.content).toContainEqual({ type: "text", text: "Hello" });
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+ expect(strictFlags).toEqual([[true], [false]]);
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+ });
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+
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it("sends strict=true for openai-responses tool schemas on OpenAI", async () => {
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const model = getBundledModel("openai", "gpt-5-mini") as Model<"openai-responses">;
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