mirror of
https://github.com/anomalyco/opencode.git
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400 lines
13 KiB
TypeScript
400 lines
13 KiB
TypeScript
import { OpenAIResponsesLanguageModel } from "@opencode-ai/core/github-copilot/responses/openai-responses-language-model"
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import { convertToOpenAIResponsesInput } from "@opencode-ai/core/github-copilot/responses/convert-to-openai-responses-input"
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import { describe, test, expect, mock } from "bun:test"
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import type { LanguageModelV3Prompt, LanguageModelV3StreamPart } from "@ai-sdk/provider"
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const TEST_PROMPT: LanguageModelV3Prompt = [{ role: "user", content: [{ type: "text", text: "Hello" }] }]
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function createMockFetch(body: unknown) {
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return mock(
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async () => new Response(JSON.stringify(body), { status: 200, headers: { "Content-Type": "application/json" } }),
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)
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}
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function createStreamFetch(events: ReadonlyArray<Record<string, unknown>>) {
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return mock(
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async () =>
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new Response(events.map((event) => `data: ${JSON.stringify(event)}\n\n`).join(""), {
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status: 200,
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headers: { "Content-Type": "text/event-stream" },
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}),
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)
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}
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function createModel(fetchFn: ReturnType<typeof mock>) {
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return new OpenAIResponsesLanguageModel("test-model", {
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provider: "copilot",
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url: () => "https://api.test.com/responses",
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headers: () => ({ Authorization: "Bearer test-token" }),
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fetch: fetchFn as any,
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})
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}
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// GitHub Copilot's Responses model echoes item metadata (itemId, reasoningEncryptedContent,
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// responseId, ...) under the "copilot" providerOptions/providerMetadata namespace, matching the
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// namespace request options already use. It used to echo this metadata under "openai" (a leftover
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// from forking the OpenAI Responses model), which left it unreachable by anything reading the
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// "copilot" namespace and let stale itemIds slip past stripping meant for that namespace.
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describe("doGenerate", () => {
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test("attaches item metadata under the copilot namespace, not openai", async () => {
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const mockFetch = createMockFetch({
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id: "resp_1",
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created_at: 0,
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model: "gpt-5.5",
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output: [
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{
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type: "reasoning",
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id: "rs_1",
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encrypted_content: "enc_1",
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summary: [{ type: "summary_text", text: "thinking..." }],
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},
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{
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type: "message",
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role: "assistant",
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id: "msg_1",
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content: [{ type: "output_text", text: "Hello there", annotations: [] }],
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},
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{
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type: "function_call",
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call_id: "call_1",
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name: "bash",
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arguments: "{}",
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id: "fc_1",
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},
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],
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usage: { input_tokens: 10, output_tokens: 5 },
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})
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const model = createModel(mockFetch)
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const { content, providerMetadata } = await model.doGenerate({
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prompt: TEST_PROMPT,
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includeRawChunks: false,
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} as any)
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const reasoning = content.find((part: any) => part.type === "reasoning") as any
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expect(reasoning.providerMetadata?.copilot?.itemId).toBe("rs_1")
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expect(reasoning.providerMetadata?.copilot?.reasoningEncryptedContent).toBe("enc_1")
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expect(reasoning.providerMetadata?.openai).toBeUndefined()
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const text = content.find((part: any) => part.type === "text") as any
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expect(text.providerMetadata?.copilot?.itemId).toBe("msg_1")
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expect(text.providerMetadata?.openai).toBeUndefined()
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const toolCall = content.find((part: any) => part.type === "tool-call") as any
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expect(toolCall.providerMetadata?.copilot?.itemId).toBe("fc_1")
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expect(toolCall.providerMetadata?.openai).toBeUndefined()
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expect(providerMetadata?.copilot?.responseId).toBe("resp_1")
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expect(providerMetadata?.openai).toBeUndefined()
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})
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test("defaults to stateless encrypted reasoning and keeps previousResponseId opt-in", async () => {
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const requests: Array<Record<string, unknown>> = []
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const fetchFn = mock(async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
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requests.push(JSON.parse(init?.body as string))
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return new Response(
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JSON.stringify({
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id: "resp_1",
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created_at: 0,
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model: "gpt-5.5",
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output: [],
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usage: { input_tokens: 1, output_tokens: 1 },
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}),
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{ status: 200, headers: { "Content-Type": "application/json" } },
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)
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})
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const model = createModel(fetchFn)
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await model.doGenerate({ prompt: TEST_PROMPT, includeRawChunks: false } as any)
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await model.doGenerate({
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prompt: TEST_PROMPT,
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includeRawChunks: false,
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providerOptions: { copilot: { previousResponseId: "resp_previous", store: false } },
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} as any)
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await model.doGenerate({
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prompt: TEST_PROMPT,
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includeRawChunks: false,
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providerOptions: { copilot: { store: true } },
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} as any)
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expect(requests[0]?.previous_response_id).toBeUndefined()
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expect(requests[0]?.store).toBe(false)
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expect(requests[0]?.include).toEqual(["reasoning.encrypted_content"])
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expect(requests[1]?.previous_response_id).toBe("resp_previous")
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expect(requests[1]?.store).toBe(false)
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expect(requests[1]?.include).toEqual(["reasoning.encrypted_content"])
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expect(requests[2]?.store).toBe(true)
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expect(requests[2]?.include).toEqual(["reasoning.encrypted_content"])
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})
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})
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describe("doStream", () => {
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test("streams sequential Copilot reasoning summary blocks", async () => {
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const model = createModel(
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createStreamFetch([
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{
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type: "response.output_item.added",
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output_index: 0,
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item: { type: "reasoning", id: "rs_1", encrypted_content: null },
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},
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{
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type: "response.output_item.added",
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output_index: 0,
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item: { type: "reasoning", id: "rs_rotated", encrypted_content: null },
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},
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{ type: "response.reasoning_summary_part.added", item_id: "rs_1", summary_index: 0 },
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{ type: "response.reasoning_summary_text.delta", item_id: "rs_1", summary_index: 0, delta: "First" },
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{ type: "response.reasoning_summary_part.done", item_id: "rs_1", summary_index: 0 },
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{ type: "response.reasoning_summary_part.added", item_id: "rs_1", summary_index: 1 },
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{ type: "response.reasoning_summary_part.added", item_id: "rs_1", summary_index: 1 },
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{ type: "response.reasoning_summary_text.delta", item_id: "rs_1", summary_index: 1, delta: "Second" },
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{ type: "response.reasoning_summary_part.done", item_id: "rs_1", summary_index: 1 },
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{
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type: "response.output_item.done",
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output_index: 0,
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item: { type: "reasoning", id: "rs_rotated", encrypted_content: "encrypted-state" },
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},
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]),
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)
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const result = await model.doStream({
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prompt: TEST_PROMPT,
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includeRawChunks: false,
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providerOptions: { copilot: { store: false } },
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} as any)
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const reader = result.stream.getReader()
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const events: LanguageModelV3StreamPart[] = []
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while (true) {
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const item = await reader.read()
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if (item.done) break
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if (item.value.type.startsWith("reasoning-")) events.push(item.value)
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}
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expect(events).toMatchObject([
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{
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type: "reasoning-start",
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id: "rs_1:0",
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providerMetadata: { copilot: { itemId: "rs_1", reasoningEncryptedContent: null } },
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},
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{ type: "reasoning-delta", id: "rs_1:0", delta: "First" },
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{ type: "reasoning-end", id: "rs_1:0", providerMetadata: { copilot: { itemId: "rs_1" } } },
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{
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type: "reasoning-start",
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id: "rs_1:1",
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providerMetadata: { copilot: { itemId: "rs_1", reasoningEncryptedContent: null } },
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},
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{ type: "reasoning-delta", id: "rs_1:1", delta: "Second" },
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{
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type: "reasoning-end",
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id: "rs_1:1",
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providerMetadata: { copilot: { itemId: "rs_rotated", reasoningEncryptedContent: "encrypted-state" } },
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},
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])
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const deltas = new Map(
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events.filter((event) => event.type === "reasoning-delta").map((event) => [event.id, event.delta] as const),
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)
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const { input } = await convertToOpenAIResponsesInput({
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prompt: [
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{
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role: "assistant",
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content: events
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.filter((event) => event.type === "reasoning-end")
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.map((event) => ({
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type: "reasoning" as const,
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text: deltas.get(event.id) ?? "",
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providerOptions: event.providerMetadata,
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})),
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},
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],
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systemMessageMode: "system",
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store: false,
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})
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expect(input).toEqual([
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{
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type: "reasoning",
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id: "rs_rotated",
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encrypted_content: "encrypted-state",
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summary: [],
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},
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])
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})
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test("closes reasoning when a Copilot stream ends before output_item.done", async () => {
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const model = createModel(
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createStreamFetch([
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{
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type: "response.output_item.added",
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output_index: 0,
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item: { type: "reasoning", id: "rs_1", encrypted_content: null },
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},
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{ type: "response.reasoning_summary_text.delta", item_id: "rs_rotated", summary_index: 0, delta: "First" },
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]),
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)
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const result = await model.doStream({
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prompt: TEST_PROMPT,
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includeRawChunks: false,
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providerOptions: { copilot: { store: false } },
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} as any)
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const reader = result.stream.getReader()
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const events: LanguageModelV3StreamPart[] = []
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while (true) {
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const item = await reader.read()
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if (item.done) break
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if (item.value.type.startsWith("reasoning-")) events.push(item.value)
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}
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expect(events.map((event) => event.type)).toEqual(["reasoning-start", "reasoning-delta", "reasoning-end"])
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expect(events.at(-1)).toMatchObject({
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type: "reasoning-end",
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id: "rs_1:0",
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providerMetadata: { copilot: { itemId: "rs_1" } },
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})
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})
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})
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describe("convertToOpenAIResponsesInput", () => {
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test("omits response item IDs from stateless function calls", async () => {
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const { input } = await convertToOpenAIResponsesInput({
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prompt: [
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{
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role: "assistant",
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content: [
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{
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type: "tool-call",
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toolCallId: "call_1",
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toolName: "bash",
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input: { command: "ls" },
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providerOptions: { copilot: { itemId: "fc_999" } },
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},
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],
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},
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],
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systemMessageMode: "system",
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store: false,
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})
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expect(input).toEqual([
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{
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type: "function_call",
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call_id: "call_1",
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name: "bash",
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arguments: JSON.stringify({ command: "ls" }),
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},
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])
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})
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test("preserves response item IDs for stored function calls", async () => {
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const { input } = await convertToOpenAIResponsesInput({
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prompt: [
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{
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role: "assistant",
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content: [
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{
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type: "tool-call",
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toolCallId: "call_1",
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toolName: "bash",
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input: { command: "ls" },
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providerOptions: { copilot: { itemId: "fc_999" } },
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},
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],
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},
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],
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systemMessageMode: "system",
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store: true,
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})
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expect((input[0] as any).id).toBe("fc_999")
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})
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test("preserves reasoning items keyed by the copilot namespace instead of dropping them", async () => {
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const { input, warnings } = await convertToOpenAIResponsesInput({
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prompt: [
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{
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role: "assistant",
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content: [
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{
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type: "reasoning",
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text: "thinking...",
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providerOptions: { copilot: { itemId: "rs_1", reasoningEncryptedContent: "enc_1" } },
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},
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],
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},
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],
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systemMessageMode: "system",
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store: false,
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})
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expect(warnings).toEqual([])
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expect(input).toEqual([
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{
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type: "reasoning",
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id: "rs_1",
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encrypted_content: "enc_1",
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summary: [],
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},
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])
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})
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test("drops encrypted reasoning with no completed copilot itemId", async () => {
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const { input, warnings } = await convertToOpenAIResponsesInput({
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prompt: [
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{
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role: "assistant",
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content: [
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{
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type: "reasoning",
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text: "thinking...",
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providerOptions: { copilot: { reasoningEncryptedContent: "enc_1" } },
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},
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],
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},
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],
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systemMessageMode: "system",
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store: false,
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})
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expect(input).toEqual([])
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expect(warnings).toHaveLength(1)
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})
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test("drops reasoning with neither a copilot itemId nor encrypted content", async () => {
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const { input, warnings } = await convertToOpenAIResponsesInput({
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prompt: [
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{
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role: "assistant",
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content: [{ type: "reasoning", text: "thinking...", providerOptions: {} }],
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},
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],
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systemMessageMode: "system",
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store: false,
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})
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expect(input).toEqual([])
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expect(warnings).toHaveLength(1)
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expect(warnings[0]).toMatchObject({
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message: expect.stringContaining("Non-OpenAI reasoning parts are not supported"),
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})
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})
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test("reads imageDetail from the copilot namespace on user file parts", async () => {
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const { input } = await convertToOpenAIResponsesInput({
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prompt: [
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{
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role: "user",
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content: [
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{
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type: "file",
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mediaType: "image/png",
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data: "aGVsbG8=",
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providerOptions: { copilot: { imageDetail: "high" } },
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},
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],
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},
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],
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systemMessageMode: "system",
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store: false,
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})
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expect((input[0] as any).content[0].detail).toBe("high")
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})
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})
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