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chore: merge dev into v2 (#34788)

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206
packages/core/test/github-copilot/openai-responses-language-model.test.ts Normal file
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import { OpenAIResponsesLanguageModel } from "@opencode-ai/core/github-copilot/responses/openai-responses-language-model"
import { convertToOpenAIResponsesInput } from "@opencode-ai/core/github-copilot/responses/convert-to-openai-responses-input"
import { describe, test, expect, mock } from "bun:test"
import type { LanguageModelV3Prompt } from "@ai-sdk/provider"
const TEST_PROMPT: LanguageModelV3Prompt = [{ role: "user", content: [{ type: "text", text: "Hello" }] }]
function createMockFetch(body: unknown) {
return mock(
async () => new Response(JSON.stringify(body), { status: 200, headers: { "Content-Type": "application/json" } }),
)
}
function createModel(fetchFn: ReturnType<typeof mock>) {
return new OpenAIResponsesLanguageModel("test-model", {
provider: "copilot",
url: () => "https://api.test.com/responses",
headers: () => ({ Authorization: "Bearer test-token" }),
fetch: fetchFn as any,
})
}
// GitHub Copilot's Responses model echoes item metadata (itemId, reasoningEncryptedContent,
// responseId, ...) under the "copilot" providerOptions/providerMetadata namespace, matching the
// namespace request options already use. It used to echo this metadata under "openai" (a leftover
// from forking the OpenAI Responses model), which left it unreachable by anything reading the
// "copilot" namespace and let stale itemIds slip past stripping meant for that namespace.
describe("doGenerate", () => {
test("attaches item metadata under the copilot namespace, not openai", async () => {
const mockFetch = createMockFetch({
id: "resp_1",
created_at: 0,
model: "gpt-5.5",
output: [
{
type: "reasoning",
id: "rs_1",
encrypted_content: "enc_1",
summary: [{ type: "summary_text", text: "thinking..." }],
},
{
type: "message",
role: "assistant",
id: "msg_1",
content: [{ type: "output_text", text: "Hello there", annotations: [] }],
},
{
type: "function_call",
call_id: "call_1",
name: "bash",
arguments: "{}",
id: "fc_1",
},
],
usage: { input_tokens: 10, output_tokens: 5 },
})
const model = createModel(mockFetch)
const { content, providerMetadata } = await model.doGenerate({
prompt: TEST_PROMPT,
includeRawChunks: false,
} as any)
const reasoning = content.find((part: any) => part.type === "reasoning") as any
expect(reasoning.providerMetadata?.copilot?.itemId).toBe("rs_1")
expect(reasoning.providerMetadata?.copilot?.reasoningEncryptedContent).toBe("enc_1")
expect(reasoning.providerMetadata?.openai).toBeUndefined()
const text = content.find((part: any) => part.type === "text") as any
expect(text.providerMetadata?.copilot?.itemId).toBe("msg_1")
expect(text.providerMetadata?.openai).toBeUndefined()
const toolCall = content.find((part: any) => part.type === "tool-call") as any
expect(toolCall.providerMetadata?.copilot?.itemId).toBe("fc_1")
expect(toolCall.providerMetadata?.openai).toBeUndefined()
expect(providerMetadata?.copilot?.responseId).toBe("resp_1")
expect(providerMetadata?.openai).toBeUndefined()
})
})
describe("convertToOpenAIResponsesInput", () => {
test("echoes a stale tool-call itemId from the copilot namespace as the function_call id", async () => {
const { input } = await convertToOpenAIResponsesInput({
prompt: [
{
role: "assistant",
content: [
{
type: "tool-call",
toolCallId: "call_1",
toolName: "bash",
input: { command: "ls" },
providerOptions: { copilot: { itemId: "fc_999" } },
},
],
},
],
systemMessageMode: "system",
store: false,
})
expect(input).toEqual([
{
type: "function_call",
call_id: "call_1",
name: "bash",
arguments: JSON.stringify({ command: "ls" }),
id: "fc_999",
},
])
})
test("omits the function_call id once the stale copilot itemId has been stripped", async () => {
const { input } = await convertToOpenAIResponsesInput({
prompt: [
{
role: "assistant",
content: [
{
type: "tool-call",
toolCallId: "call_1",
toolName: "bash",
input: { command: "ls" },
providerOptions: {},
},
],
},
],
systemMessageMode: "system",
store: false,
})
expect((input[0] as any).id).toBeUndefined()
})
test("preserves reasoning items keyed by the copilot namespace instead of dropping them", async () => {
const { input, warnings } = await convertToOpenAIResponsesInput({
prompt: [
{
role: "assistant",
content: [
{
type: "reasoning",
text: "thinking...",
providerOptions: { copilot: { itemId: "rs_1", reasoningEncryptedContent: "enc_1" } },
},
],
},
],
systemMessageMode: "system",
store: false,
})
expect(warnings).toEqual([])
expect(input).toEqual([
{
type: "reasoning",
id: "rs_1",
encrypted_content: "enc_1",
summary: [{ type: "summary_text", text: "thinking..." }],
},
])
})
test("drops reasoning items with no copilot itemId and warns, as before", async () => {
const { input, warnings } = await convertToOpenAIResponsesInput({
prompt: [
{
role: "assistant",
content: [{ type: "reasoning", text: "thinking...", providerOptions: {} }],
},
],
systemMessageMode: "system",
store: false,
})
expect(input).toEqual([])
expect(warnings).toHaveLength(1)
expect(warnings[0]).toMatchObject({
message: expect.stringContaining("Non-OpenAI reasoning parts are not supported"),
})
})
test("reads imageDetail from the copilot namespace on user file parts", async () => {
const { input } = await convertToOpenAIResponsesInput({
prompt: [
{
role: "user",
content: [
{
type: "file",
mediaType: "image/png",
data: "aGVsbG8=",
providerOptions: { copilot: { imageDetail: "high" } },
},
],
},
],
systemMessageMode: "system",
store: false,
})
expect((input[0] as any).content[0].detail).toBe("high")
})
})