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fix(opencode-go): add MiMo V2.6 Flash and Pro model configurations (#2246)
What: add mimo-v2.6-flash and mimo-v2.6-pro to the curated OpenCode Go registry in packages/types, with their own context/output limits, input modalities, reasoning preservation, and Go pricing. Why: both IDs are served by the live Go catalog but were uncurated, so the fetcher fell back to 200,000 context / 32,768 output, no image support, no pricing, and no reasoning preservation. Issue #1997 asks for independently confirmed V2.6 metadata rather than a copy of the V2.5 limits. Impact: the two models now report 1,048,576 context / 131,072 output, accept image input, preserve reasoning across tool-call continuations, and price at 0.14/0.28/0.0028 (Flash) and 0.435/0.87/0.003625 (Pro) per 1M tokens. Routing is unchanged: both stay on Chat Completions. No other model is affected. Fixes #1997
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‎packages/types/src/__tests__/opencode-go.test.ts‎

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@@ -34,6 +34,8 @@ describe("opencode-go registry", () => {
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"kimi-k2.6",
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"mimo-v2.5",
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"mimo-v2.5-pro",
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"mimo-v2.6-flash",
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"mimo-v2.6-pro",
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"deepseek-v4-pro",
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"deepseek-v4-flash",
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"deepseek-v4.1-flash",
@@ -361,6 +363,32 @@ describe("opencode-go registry", () => {
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cacheReadsPrice: 0.08,
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},
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},
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{
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id: "mimo-v2.6-flash",
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expected: {
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maxTokens: 131_072,
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contextWindow: 1_048_576,
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supportsImages: true,
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supportsPromptCache: false,
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preserveReasoning: true,
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inputPrice: 0.14,
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outputPrice: 0.28,
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cacheReadsPrice: 0.0028,
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},
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},
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{
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id: "mimo-v2.6-pro",
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expected: {
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maxTokens: 131_072,
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contextWindow: 1_048_576,
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supportsImages: true,
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supportsPromptCache: false,
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preserveReasoning: true,
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inputPrice: 0.435,
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outputPrice: 0.87,
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cacheReadsPrice: 0.003625,
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},
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},
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{
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id: "qwen3.5-plus",
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expected: {

‎packages/types/src/providers/opencode-go.ts‎

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@@ -276,6 +276,30 @@ export const opencodeGoModels: Record<string, ModelInfo> = {
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description:
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"MiMo V2 Omni is Xiaomi's multimodal reasoning model with a 256k context window. Available via the Opencode Go plan.",
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},
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"mimo-v2.6-flash": {
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maxTokens: 131_072,
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contextWindow: 1_048_576,
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supportsImages: true,
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supportsPromptCache: false,
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preserveReasoning: true,
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inputPrice: 0.14,
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outputPrice: 0.28,
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cacheReadsPrice: 0.0028,
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description:
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"MiMo V2.6 Flash is Xiaomi's fast full-modal model (text, image, audio, video) with 1M context and deep thinking. Available via the Opencode Go plan.",
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},
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"mimo-v2.6-pro": {
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maxTokens: 131_072,
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contextWindow: 1_048_576,
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supportsImages: true,
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supportsPromptCache: false,
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preserveReasoning: true,
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inputPrice: 0.435,
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outputPrice: 0.87,
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cacheReadsPrice: 0.003625,
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description:
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"MiMo V2.6 Pro is Xiaomi's stronger full-modal reasoning model with 1M context and deep thinking. Available via the Opencode Go plan.",
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},
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// --- MiniMax ---
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"minimax-m2.5": {

‎src/api/providers/__tests__/opencode-go.spec.ts‎

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@@ -378,6 +378,78 @@ describe("OpencodeGoHandler", () => {
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expect(callArgs.messages.filter((m) => m.role === "user")).toHaveLength(1)
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})
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it("preserves reasoning across a tool-call continuation for MiMo V2.6 Flash", async () => {
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// Xiaomi's deep-thinking guide requires the reasoning from the assistant
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// turn to be passed back on the tool-call continuation. MiMo V2.6 must
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// therefore convert through convertToR1Format (preserveReasoning) and
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// keep the reasoning -> tool_call -> tool_result history intact.
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vitest.mocked(getModels).mockImplementationOnce(async () => ({
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"mimo-v2.6-flash": { ...opencodeGoModels["mimo-v2.6-flash"] },
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}))
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mockCreate.mockImplementationOnce(async () =>
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asyncStreamFrom([
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{ choices: [{ delta: { content: "Done" }, index: 0 }] },
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{
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choices: [{ delta: {}, index: 0 }],
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usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
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},
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]),
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)
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const handler = new OpencodeGoHandler({ ...mockOptions, opencodeGoModelId: "mimo-v2.6-flash" })
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const messages: Anthropic.Messages.MessageParam[] = [
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{ role: "user", content: "Read the config file" },
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{
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role: "assistant",
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content: [
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{ type: "text", text: "I will read it." },
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{ type: "tool_use", id: "call_mimo_1", name: "read_file", input: { path: "config.json" } },
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],
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reasoning_content: "The user wants the config contents.",
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} as Anthropic.Messages.MessageParam,
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{
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role: "user",
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content: [
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{ type: "tool_result", tool_use_id: "call_mimo_1", content: '{"a":1}' },
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{ type: "text", text: "<environment_details>cwd: /repo</environment_details>" },
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],
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},
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]
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await collectStream(handler.createMessage("sys", messages))
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const callArgs = mockCreate.mock.calls[0][0] as {
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model: string
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messages: Array<Record<string, unknown>>
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}
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expect(callArgs.model).toBe("mimo-v2.6-flash")
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// Index 0 is the system prompt; the converted history follows it.
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expect(callArgs.messages[0]).toEqual({ role: "system", content: "sys" })
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const [, userMessage, assistantMessage, toolMessage] = callArgs.messages
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expect(userMessage).toEqual({ role: "user", content: "Read the config file" })
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// The assistant turn keeps both its reasoning and its tool call.
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expect(assistantMessage).toMatchObject({
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role: "assistant",
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reasoning_content: "The user wants the config contents.",
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})
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expect(assistantMessage.tool_calls).toEqual([
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{
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id: "call_mimo_1",
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type: "function",
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function: { name: "read_file", arguments: '{"path":"config.json"}' },
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},
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])
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// The tool result follows as a tool message, with the trailing
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// environment details merged in so no user turn drops the reasoning.
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expect(toolMessage).toEqual({
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role: "tool",
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tool_call_id: "call_mimo_1",
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content: '{"a":1}\n\n<environment_details>cwd: /repo</environment_details>',
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})
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expect(callArgs.messages.filter((message) => message.role === "user")).toHaveLength(1)
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})
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it("emits a usage chunk with zeroed tokens when the stream reports no usage", async () => {
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mockCreate.mockImplementationOnce(async () =>
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asyncStreamFrom([

‎src/api/providers/fetchers/__tests__/opencode-go.spec.ts‎

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@@ -163,6 +163,37 @@ describe("Opencode Go Fetchers", () => {
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})
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})
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it("resolves MiMo V2.6 Flash and Pro from an ID-only catalog response", async () => {
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mockedAxios.get.mockResolvedValue({
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data: { data: [{ id: "mimo-v2.6-flash" }, { id: "mimo-v2.6-pro" }] },
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})
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const models = await getOpencodeGoModels("k")
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// The generic fallback would report 200_000 context / 32_768 output and
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// no pricing, so these values prove the native registry was used.
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expect(models["mimo-v2.6-flash"]).toMatchObject({
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contextWindow: 1_048_576,
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maxTokens: 131_072,
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supportsImages: true,
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supportsPromptCache: false,
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preserveReasoning: true,
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inputPrice: 0.14,
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outputPrice: 0.28,
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cacheReadsPrice: 0.0028,
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})
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expect(models["mimo-v2.6-pro"]).toMatchObject({
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contextWindow: 1_048_576,
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maxTokens: 131_072,
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supportsImages: true,
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supportsPromptCache: false,
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preserveReasoning: true,
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inputPrice: 0.435,
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outputPrice: 0.87,
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cacheReadsPrice: 0.003625,
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})
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})
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it("returns an empty map on network error", async () => {
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mockedAxios.get.mockRejectedValue(new Error("network"))
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expect(await getOpencodeGoModels("k")).toEqual({})
@@ -253,6 +284,8 @@ describe("Opencode Go Fetchers", () => {
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"mimo-v2-omni",
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"mimo-v2.5-pro",
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"mimo-v2.5",
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"mimo-v2.6-flash",
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"mimo-v2.6-pro",
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"hy4-preview",
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"hy3",
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"hy3-preview",
@@ -330,6 +363,28 @@ describe("Opencode Go Fetchers", () => {
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expect(info.cacheReadsPrice).toBe(0.006)
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})
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it("resolves MiMo V2.6 Flash and Pro to their 1M context when live metadata is absent", () => {
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const flash = parseOpencodeGoModel({ id: "mimo-v2.6-flash" })
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expect(flash.contextWindow).toBe(1_048_576)
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expect(flash.maxTokens).toBe(131_072)
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expect(flash.supportsImages).toBe(true)
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expect(flash.supportsPromptCache).toBe(false)
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expect(flash.preserveReasoning).toBe(true)
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expect(flash.inputPrice).toBe(0.14)
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expect(flash.outputPrice).toBe(0.28)
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expect(flash.cacheReadsPrice).toBe(0.0028)
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const pro = parseOpencodeGoModel({ id: "mimo-v2.6-pro" })
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expect(pro.contextWindow).toBe(1_048_576)
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expect(pro.maxTokens).toBe(131_072)
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expect(pro.supportsImages).toBe(true)
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expect(pro.supportsPromptCache).toBe(false)
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expect(pro.preserveReasoning).toBe(true)
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expect(pro.inputPrice).toBe(0.435)
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expect(pro.outputPrice).toBe(0.87)
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expect(pro.cacheReadsPrice).toBe(0.003625)
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})
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it("resolves GLM-5.2 with its 1M context and High/Max reasoning effort", () => {
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const info = parseOpencodeGoModel({ id: "glm-5.2" })
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expect(info.contextWindow).toBe(1_000_000)

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