chore: generate
This commit is contained in:
opencode-agent[bot]
@@ -119,7 +119,10 @@ export async function tmpdir<T>(options?: TmpDirOptions<T>) {
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}
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}
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/** Effectful scoped tmpdir. Cleaned up when the scope closes. Make sure these stay in sync */
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/** Effectful scoped tmpdir. Cleaned up when the scope closes. Make sure these stay in sync */
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export function tmpdirScoped(options?: { git?: boolean; config?: Partial<Config.Info> | (() => Partial<Config.Info>) }) {
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export function tmpdirScoped(options?: {
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git?: boolean
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config?: Partial<Config.Info> | (() => Partial<Config.Info>)
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}) {
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return Effect.gen(function* () {
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return Effect.gen(function* () {
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const spawner = yield* ChildProcessSpawner.ChildProcessSpawner
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const spawner = yield* ChildProcessSpawner.ChildProcessSpawner
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const dirpath = sanitizePath(path.join(os.tmpdir(), "opencode-test-" + Math.random().toString(36).slice(2)))
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const dirpath = sanitizePath(path.join(os.tmpdir(), "opencode-test-" + Math.random().toString(36).slice(2)))
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@@ -916,47 +916,47 @@ describe("session.llm.stream", () => {
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const model = loadFixture("openai", "gpt-5.2").model
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const model = loadFixture("openai", "gpt-5.2").model
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const responseChunks = [
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const responseChunks = [
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{
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{
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type: "response.created",
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type: "response.created",
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response: {
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response: {
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id: "resp-1",
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id: "resp-1",
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created_at: Math.floor(Date.now() / 1000),
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created_at: Math.floor(Date.now() / 1000),
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model: model.id,
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model: model.id,
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service_tier: null,
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service_tier: null,
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},
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},
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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: "message", id: "item-1", status: "in_progress", role: "assistant", content: [] },
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},
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{
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type: "response.content_part.added",
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item_id: "item-1",
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output_index: 0,
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content_index: 0,
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part: { type: "output_text", text: "", annotations: [] },
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},
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{
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type: "response.output_text.delta",
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item_id: "item-1",
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delta: "Hello",
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logprobs: null,
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},
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{
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type: "response.completed",
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response: {
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incomplete_details: null,
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usage: {
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input_tokens: 1,
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input_tokens_details: null,
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output_tokens: 1,
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output_tokens_details: null,
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},
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},
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service_tier: null,
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{
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},
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type: "response.output_item.added",
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},
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output_index: 0,
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]
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item: { type: "message", id: "item-1", status: "in_progress", role: "assistant", content: [] },
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},
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{
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type: "response.content_part.added",
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item_id: "item-1",
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output_index: 0,
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content_index: 0,
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part: { type: "output_text", text: "", annotations: [] },
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},
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{
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type: "response.output_text.delta",
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item_id: "item-1",
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delta: "Hello",
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logprobs: null,
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},
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{
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type: "response.completed",
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response: {
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incomplete_details: null,
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usage: {
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input_tokens: 1,
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input_tokens_details: null,
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output_tokens: 1,
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output_tokens_details: null,
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},
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service_tier: null,
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},
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},
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]
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const request = waitRequest("/responses", createEventResponse(responseChunks, true))
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const request = waitRequest("/responses", createEventResponse(responseChunks, true))
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const resolved = yield* Provider.use.getModel(ProviderID.openai, ModelID.make(model.id))
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const resolved = yield* Provider.use.getModel(ProviderID.openai, ModelID.make(model.id))
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@@ -1481,41 +1481,41 @@ describe("session.llm.stream", () => {
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const model = loadFixture(minimaxFixture.providerID, minimaxFixture.modelID).model
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const model = loadFixture(minimaxFixture.providerID, minimaxFixture.modelID).model
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const chunks = [
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const chunks = [
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{
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{
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type: "message_start",
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type: "message_start",
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message: {
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message: {
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id: "msg-1",
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id: "msg-1",
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model: model.id,
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model: model.id,
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usage: {
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usage: {
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input_tokens: 3,
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input_tokens: 3,
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cache_creation_input_tokens: null,
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cache_creation_input_tokens: null,
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cache_read_input_tokens: null,
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cache_read_input_tokens: null,
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},
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},
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},
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},
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},
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{
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},
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type: "content_block_start",
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{
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index: 0,
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type: "content_block_start",
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content_block: { type: "text", text: "" },
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index: 0,
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},
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content_block: { type: "text", text: "" },
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{
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},
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type: "content_block_delta",
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{
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index: 0,
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type: "content_block_delta",
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delta: { type: "text_delta", text: "Hello" },
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index: 0,
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},
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delta: { type: "text_delta", text: "Hello" },
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{ type: "content_block_stop", index: 0 },
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},
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{
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{ type: "content_block_stop", index: 0 },
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type: "message_delta",
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{
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delta: { stop_reason: "end_turn", stop_sequence: null, container: null },
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type: "message_delta",
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usage: {
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delta: { stop_reason: "end_turn", stop_sequence: null, container: null },
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input_tokens: 3,
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usage: {
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output_tokens: 2,
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input_tokens: 3,
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cache_creation_input_tokens: null,
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output_tokens: 2,
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cache_read_input_tokens: null,
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cache_creation_input_tokens: null,
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},
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cache_read_input_tokens: null,
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},
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},
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{ type: "message_stop" },
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},
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]
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{ type: "message_stop" },
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]
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const request = waitRequest("/messages", createEventResponse(chunks))
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const request = waitRequest("/messages", createEventResponse(chunks))
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const resolved = yield* Provider.use.getModel(
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const resolved = yield* Provider.use.getModel(
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@@ -1578,41 +1578,41 @@ describe("session.llm.stream", () => {
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Effect.gen(function* () {
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Effect.gen(function* () {
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const model = loadFixture("anthropic", "claude-opus-4-6").model
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const model = loadFixture("anthropic", "claude-opus-4-6").model
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const chunks = [
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const chunks = [
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{
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{
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type: "message_start",
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type: "message_start",
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message: {
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message: {
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id: "msg-tool-order",
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id: "msg-tool-order",
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model: model.id,
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model: model.id,
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usage: {
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usage: {
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input_tokens: 3,
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input_tokens: 3,
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cache_creation_input_tokens: null,
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cache_creation_input_tokens: null,
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cache_read_input_tokens: null,
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cache_read_input_tokens: null,
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},
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},
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},
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},
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},
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{
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},
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type: "content_block_start",
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{
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index: 0,
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type: "content_block_start",
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content_block: { type: "text", text: "" },
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index: 0,
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},
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content_block: { type: "text", text: "" },
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{
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},
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type: "content_block_delta",
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{
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index: 0,
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type: "content_block_delta",
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delta: { type: "text_delta", text: "ok" },
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index: 0,
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},
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delta: { type: "text_delta", text: "ok" },
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{ type: "content_block_stop", index: 0 },
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},
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{
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{ type: "content_block_stop", index: 0 },
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type: "message_delta",
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{
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delta: { stop_reason: "end_turn", stop_sequence: null, container: null },
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type: "message_delta",
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usage: {
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delta: { stop_reason: "end_turn", stop_sequence: null, container: null },
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input_tokens: 3,
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usage: {
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output_tokens: 2,
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input_tokens: 3,
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cache_creation_input_tokens: null,
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output_tokens: 2,
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cache_read_input_tokens: null,
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cache_creation_input_tokens: null,
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},
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cache_read_input_tokens: null,
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},
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},
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{ type: "message_stop" },
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},
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]
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{ type: "message_stop" },
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]
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const request = waitRequest("/messages", createEventResponse(chunks))
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const request = waitRequest("/messages", createEventResponse(chunks))
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const resolved = yield* Provider.use.getModel(ProviderID.make("anthropic"), ModelID.make(model.id))
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const resolved = yield* Provider.use.getModel(ProviderID.make("anthropic"), ModelID.make(model.id))
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@@ -1808,18 +1808,13 @@ describe("session.llm.stream", () => {
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const chunks = [
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const chunks = [
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{
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{
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candidates: [
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candidates: [{ content: { parts: [{ text: "Hello" }] }, finishReason: "STOP" }],
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{ content: { parts: [{ text: "Hello" }] }, finishReason: "STOP" },
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],
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usageMetadata: { promptTokenCount: 1, candidatesTokenCount: 1, totalTokenCount: 2 },
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usageMetadata: { promptTokenCount: 1, candidatesTokenCount: 1, totalTokenCount: 2 },
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},
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},
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]
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]
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const request = waitRequest(pathSuffix, createEventResponse(chunks))
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const request = waitRequest(pathSuffix, createEventResponse(chunks))
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const resolved = yield* Provider.use.getModel(
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const resolved = yield* Provider.use.getModel(ProviderID.make(geminiFixture.providerID), ModelID.make(model.id))
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ProviderID.make(geminiFixture.providerID),
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ModelID.make(model.id),
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)
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const sessionID = SessionID.make("session-test-4")
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const sessionID = SessionID.make("session-test-4")
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const agent = {
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const agent = {
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name: "test",
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name: "test",
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