refactor(session): add native LLM request adapter
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@@ -0,0 +1,219 @@
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import { describe, expect, test } from "bun:test"
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import { jsonSchema, tool, type ModelMessage } from "ai"
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import { LLMNative } from "@/session/llm-native"
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import type { Provider } from "@/provider/provider"
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import { ModelID, ProviderID } from "@/provider/schema"
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const baseModel: Provider.Model = {
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id: ModelID.make("gpt-5-mini"),
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providerID: ProviderID.make("openai"),
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api: {
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id: "gpt-5-mini",
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url: "https://api.openai.com/v1",
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npm: "@ai-sdk/openai",
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},
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name: "GPT-5 Mini",
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capabilities: {
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temperature: true,
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reasoning: true,
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attachment: true,
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toolcall: true,
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input: {
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text: true,
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audio: false,
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image: true,
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video: false,
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pdf: false,
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},
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output: {
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text: true,
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audio: false,
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image: false,
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video: false,
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pdf: false,
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},
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interleaved: false,
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},
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cost: {
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input: 0,
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output: 0,
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cache: {
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read: 0,
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write: 0,
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},
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},
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limit: {
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context: 128_000,
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input: 128_000,
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output: 32_000,
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},
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status: "active",
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options: {},
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headers: {
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"x-model": "model-header",
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},
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release_date: "2026-01-01",
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}
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describe("session.llm-native.request", () => {
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test("maps normalized stream inputs to a native LLM request", () => {
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const messages: ModelMessage[] = [
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{
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role: "system",
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content: "system from messages",
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},
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{
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role: "user",
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content: [
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{ type: "text", text: "hello", providerOptions: { openai: { cacheControl: { type: "ephemeral" } } } },
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{ type: "file", mediaType: "image/png", filename: "img.png", data: "data:image/png;base64,Zm9v" },
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],
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},
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{
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role: "assistant",
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content: [
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{ type: "reasoning", text: "thinking", providerOptions: { openai: { encryptedContent: "secret" } } },
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{ type: "text", text: "I'll run it" },
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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: { openai: { itemId: "item-1" } },
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},
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],
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},
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{
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role: "tool",
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content: [
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{
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type: "tool-result",
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toolCallId: "call-1",
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toolName: "bash",
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output: { type: "text", value: "ok" },
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providerOptions: { openai: { outputId: "output-1" } },
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},
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],
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},
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]
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const request = LLMNative.request({
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model: baseModel,
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system: ["agent system"],
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messages,
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tools: {
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bash: tool({
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description: "Run a shell command",
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inputSchema: jsonSchema({
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type: "object",
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properties: {
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command: { type: "string" },
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},
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required: ["command"],
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}),
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}),
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},
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toolChoice: "required",
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temperature: 0.2,
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topP: 0.9,
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topK: 40,
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maxOutputTokens: 1024,
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providerOptions: { openai: { store: false } },
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headers: { "x-request": "request-header" },
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})
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expect(request.model).toMatchObject({
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id: "gpt-5-mini",
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provider: "openai",
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route: "openai-responses",
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baseURL: "https://api.openai.com/v1",
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headers: {
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"x-model": "model-header",
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"x-request": "request-header",
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},
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limits: {
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context: 128_000,
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output: 32_000,
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},
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})
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expect(request.system).toEqual([
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{ type: "text", text: "agent system" },
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{ type: "text", text: "system from messages" },
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])
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expect(request.generation).toMatchObject({
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temperature: 0.2,
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topP: 0.9,
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topK: 40,
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maxTokens: 1024,
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})
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expect(request.providerOptions).toEqual({ openai: { store: false } })
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expect(request.toolChoice).toMatchObject({ type: "required" })
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expect(request.tools).toMatchObject([
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{
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name: "bash",
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description: "Run a shell command",
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inputSchema: {
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type: "object",
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properties: {
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command: { type: "string" },
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},
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required: ["command"],
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},
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},
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])
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expect(request.messages).toMatchObject([
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{
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role: "user",
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content: [
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{ type: "text", text: "hello", providerMetadata: { openai: { cacheControl: { type: "ephemeral" } } } },
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{ type: "media", mediaType: "image/png", filename: "img.png", data: "data:image/png;base64,Zm9v" },
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],
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},
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{
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role: "assistant",
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content: [
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{ type: "reasoning", text: "thinking", providerMetadata: { openai: { encryptedContent: "secret" } } },
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{ type: "text", text: "I'll run it" },
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{
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type: "tool-call",
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id: "call-1",
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name: "bash",
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input: { command: "ls" },
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providerMetadata: { openai: { itemId: "item-1" } },
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},
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],
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},
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{
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role: "tool",
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content: [
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{
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type: "tool-result",
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id: "call-1",
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name: "bash",
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result: { type: "text", value: "ok" },
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providerMetadata: { openai: { outputId: "output-1" } },
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},
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],
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},
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])
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})
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test("selects native routes from existing provider packages", () => {
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expect(LLMNative.model({ ...baseModel, api: { ...baseModel.api, npm: "@ai-sdk/anthropic" } }).route).toBe(
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"anthropic-messages",
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)
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expect(LLMNative.model({ ...baseModel, api: { ...baseModel.api, npm: "@ai-sdk/google" } }).route).toBe("gemini")
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expect(LLMNative.model({ ...baseModel, api: { ...baseModel.api, npm: "@ai-sdk/openai-compatible" } }).route).toBe(
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"openai-compatible-chat",
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)
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})
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test("fails fast for unsupported provider packages", () => {
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expect(() =>
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LLMNative.request({
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model: { ...baseModel, api: { ...baseModel.api, npm: "unknown-provider" } },
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messages: [],
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}),
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).toThrow("Native LLM request adapter does not support provider package unknown-provider")
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})
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})
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