feat(aircoding): AirCoding V2 baseline — deterministic multi-agent architecture
Forked from OpenCode v1.17.4 with multi-agent system: - 5 agents: aircoding, scheduler, worker, architect, reviewer - Deterministic DAG scheduling engine (coordinator_tick) - Tool whitelists as hard enforcement - AirCoding validation plugin - System prompt injection for routing - V1 requirements: C4 docs, ADR, AGENTS.md, debug-log.md - Design documents in docs/
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airlongdian
299
packages/core/test/session-runner-model.test.ts
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299
packages/core/test/session-runner-model.test.ts
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import { describe, expect } from "bun:test"
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import { LLM } from "@opencode-ai/llm"
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import { LLMClient } from "@opencode-ai/llm/route"
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import { ConfigProvider, DateTime, Effect } from "effect"
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import { Headers } from "effect/unstable/http"
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import { ModelV2 } from "@opencode-ai/core/model"
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import { ProviderV2 } from "@opencode-ai/core/provider"
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import { ProjectV2 } from "@opencode-ai/core/project"
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import { SessionRunnerModel } from "@opencode-ai/core/session/runner/model"
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import { SessionV2 } from "@opencode-ai/core/session"
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import { AbsolutePath } from "@opencode-ai/core/schema"
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import { it } from "./lib/effect"
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type Api =
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| {
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readonly type: "aisdk"
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readonly package: string
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readonly url?: string
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readonly settings?: Record<string, unknown>
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}
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| { readonly type: "native"; readonly url?: string; readonly settings: Record<string, unknown> }
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const model = (api: Api, variants: ModelV2.Info["variants"] = []) =>
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new ModelV2.Info({
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id: ModelV2.ID.make("test-model"),
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providerID: ProviderV2.ID.make("test-provider"),
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name: "Test model",
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api: { id: ModelV2.ID.make("api-test-model"), ...api },
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capabilities: { tools: true, input: ["text"], output: ["text"] },
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request: {
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headers: { "x-test": "header" },
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body: { apiKey: "secret", custom_extension: { enabled: true } },
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generation: { temperature: 0.7 },
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options: { store: false, serviceTier: "priority" },
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},
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variants,
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time: { released: DateTime.makeUnsafe(0) },
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cost: [],
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status: "active",
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enabled: true,
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limit: { context: 100, output: 20 },
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})
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const provider = (api: ProviderV2.Info["api"]) =>
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new ProviderV2.Info({
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id: ProviderV2.ID.make("test-provider"),
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name: "Test provider",
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enabled: { via: "env", name: "TEST_PROVIDER_API_KEY" },
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env: ["TEST_PROVIDER_API_KEY"],
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api,
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request: { headers: {}, body: {} },
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})
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describe("SessionRunnerModel", () => {
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it.effect("maps catalog OpenAI AI SDK models into native Responses routes", () =>
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Effect.gen(function* () {
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const resolved = yield* SessionRunnerModel.fromCatalogModel(
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model({ type: "aisdk", package: "@ai-sdk/openai", url: "https://openai.example/v1" }),
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)
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expect(resolved).toMatchObject({ id: "api-test-model", provider: "test-provider" })
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expect(resolved.route).toMatchObject({
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id: "openai-responses",
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endpoint: { baseURL: "https://openai.example/v1" },
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defaults: {
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headers: { "x-test": "header" },
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limits: { context: 100, output: 20 },
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generation: { temperature: 0.7 },
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providerOptions: { openai: { store: false, serviceTier: "priority" } },
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http: { body: { custom_extension: { enabled: true } } },
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},
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})
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}),
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)
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it.effect("keeps catalog apiKey credentials out of provider JSON", () =>
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Effect.gen(function* () {
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const resolved = yield* SessionRunnerModel.fromCatalogModel(
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model({ type: "aisdk", package: "@ai-sdk/openai", url: "https://openai.example/v1" }),
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)
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const prepared = yield* LLMClient.prepare(LLM.request({ model: resolved, prompt: "Hello" }))
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expect(JSON.stringify(prepared.body)).not.toContain("apiKey")
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expect(JSON.stringify(prepared.body)).not.toContain("secret")
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}),
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)
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it.effect("uses merged API settings for OpenAI-compatible auth and request defaults", () =>
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Effect.gen(function* () {
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const resolved = yield* SessionRunnerModel.fromCatalogModel(
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new ModelV2.Info({
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...model({
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type: "aisdk",
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package: "@ai-sdk/openai-compatible",
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url: "https://compatible.example/v1",
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settings: { apiKey: "settings-secret", compatibility: "strict" },
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}),
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request: { headers: {}, body: {}, generation: {}, options: {} },
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}),
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)
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const request = LLM.request({ model: resolved, prompt: "Hello" })
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const headers = yield* resolved.route.auth.apply({
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request,
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method: "POST",
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url: "https://compatible.example/v1/chat/completions",
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body: "{}",
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headers: Headers.empty,
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})
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expect(headers.authorization).toBe("Bearer settings-secret")
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expect(resolved.route.defaults.http?.body).toEqual({})
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}),
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)
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it.effect("lowers selected OpenAI Session variants into Responses options", () =>
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Effect.gen(function* () {
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const base = model({ type: "aisdk", package: "@ai-sdk/openai", url: "https://openai.example/v1" }, [
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{
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id: ModelV2.VariantID.make("high"),
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headers: { "x-variant": "high" },
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body: {},
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generation: { temperature: 0.2 },
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options: { reasoningEffort: "high" },
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},
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])
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const catalog = new ModelV2.Info({
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...base,
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request: { ...base.request, options: { ...base.request.options, reasoningEffort: "medium" } },
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})
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const session = SessionV2.Info.make({
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id: SessionV2.ID.make("ses_model_variant"),
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projectID: ProjectV2.ID.global,
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title: "test",
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model: {
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id: catalog.id,
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providerID: catalog.providerID,
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variant: ModelV2.VariantID.make("high"),
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},
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cost: 0,
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tokens: { input: 0, output: 0, reasoning: 0, cache: { read: 0, write: 0 } },
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time: { created: DateTime.makeUnsafe(0), updated: DateTime.makeUnsafe(0) },
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location: { directory: AbsolutePath.make("/project") },
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})
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const resolved = yield* SessionRunnerModel.resolve(session, catalog)
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const prepared = yield* LLMClient.prepare(LLM.request({ model: resolved, prompt: "Hello" }))
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expect(resolved.route.defaults.headers).toMatchObject({ "x-test": "header", "x-variant": "high" })
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expect(resolved.route.defaults.http?.body).toEqual({ custom_extension: { enabled: true } })
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expect(prepared.body).toMatchObject({
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store: false,
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service_tier: "priority",
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temperature: 0.2,
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reasoning: { effort: "high" },
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})
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expect(prepared.body).not.toHaveProperty("reasoningEffort")
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}),
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)
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it.effect("lowers selected OpenAI-compatible Session variants into Chat options", () =>
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Effect.gen(function* () {
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const catalog = model(
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{ type: "aisdk", package: "@ai-sdk/openai-compatible", url: "https://compatible.example/v1" },
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[
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{
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id: ModelV2.VariantID.make("high"),
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headers: {},
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body: {},
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generation: {},
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options: { reasoningEffort: "high" },
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},
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],
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)
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const session = SessionV2.Info.make({
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id: SessionV2.ID.make("ses_compatible_variant"),
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projectID: ProjectV2.ID.global,
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title: "test",
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model: { id: catalog.id, providerID: catalog.providerID, variant: ModelV2.VariantID.make("high") },
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cost: 0,
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tokens: { input: 0, output: 0, reasoning: 0, cache: { read: 0, write: 0 } },
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time: { created: DateTime.makeUnsafe(0), updated: DateTime.makeUnsafe(0) },
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location: { directory: AbsolutePath.make("/project") },
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})
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const resolved = yield* SessionRunnerModel.resolve(session, catalog)
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const prepared = yield* LLMClient.prepare(LLM.request({ model: resolved, prompt: "Hello" }))
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expect(resolved.route.defaults.http?.body).toEqual({ custom_extension: { enabled: true } })
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expect(prepared.body).toMatchObject({
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store: false,
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reasoning_effort: "high",
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})
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expect(prepared.body).not.toHaveProperty("reasoningEffort")
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}),
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)
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it.effect("lowers selected Anthropic Session variants into Messages options", () =>
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Effect.gen(function* () {
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const catalog = model({ type: "aisdk", package: "@ai-sdk/anthropic", url: "https://anthropic.example/v1" }, [
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{
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id: ModelV2.VariantID.make("high"),
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headers: {},
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body: {},
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generation: {},
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options: { thinking: { type: "enabled", budgetTokens: 12000 } },
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},
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])
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const session = SessionV2.Info.make({
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id: SessionV2.ID.make("ses_anthropic_variant"),
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projectID: ProjectV2.ID.global,
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title: "test",
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model: { id: catalog.id, providerID: catalog.providerID, variant: ModelV2.VariantID.make("high") },
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cost: 0,
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tokens: { input: 0, output: 0, reasoning: 0, cache: { read: 0, write: 0 } },
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time: { created: DateTime.makeUnsafe(0), updated: DateTime.makeUnsafe(0) },
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location: { directory: AbsolutePath.make("/project") },
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})
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const resolved = yield* SessionRunnerModel.resolve(session, catalog)
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const prepared = yield* LLMClient.prepare(LLM.request({ model: resolved, prompt: "Hello" }))
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expect(resolved.route.defaults.http?.body).toEqual({ custom_extension: { enabled: true } })
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expect(prepared.body).toMatchObject({
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thinking: { type: "enabled", budget_tokens: 12000 },
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})
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expect(JSON.stringify(prepared.body)).not.toContain("budgetTokens")
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}),
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)
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it.effect("maps catalog Anthropic AI SDK models into native routes", () =>
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Effect.gen(function* () {
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const resolved = yield* SessionRunnerModel.fromCatalogModel(
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model({ type: "aisdk", package: "@ai-sdk/anthropic", url: "https://anthropic.example/v1" }),
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)
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expect(resolved.route).toMatchObject({
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id: "anthropic-messages",
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endpoint: { baseURL: "https://anthropic.example/v1" },
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})
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}),
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)
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it.effect("preserves environment-backed bearer auth", () =>
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Effect.gen(function* () {
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const resolved = yield* SessionRunnerModel.fromCatalogModel(
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new ModelV2.Info({
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...model({ type: "aisdk", package: "@ai-sdk/openai", url: "https://openai.example/v1" }),
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request: { headers: {}, body: {}, generation: {}, options: {} },
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}),
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provider({ type: "aisdk", package: "@ai-sdk/openai", url: "https://openai.example/v1" }),
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)
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const request = LLM.request({ model: resolved, prompt: "Hello" })
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const headers = yield* resolved.route.auth
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.apply({
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request,
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method: "POST",
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url: "https://openai.example/v1/responses",
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body: "{}",
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headers: Headers.empty,
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})
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.pipe(
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Effect.provide(ConfigProvider.layer(ConfigProvider.fromEnv({ env: { TEST_PROVIDER_API_KEY: "secret" } }))),
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)
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expect(headers.authorization).toBe("Bearer secret")
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}),
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)
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it.effect("rejects catalog APIs without a native route", () =>
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Effect.gen(function* () {
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const failure = yield* SessionRunnerModel.fromCatalogModel(
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model({ type: "aisdk", package: "@ai-sdk/google", url: "https://google.example/v1" }),
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).pipe(Effect.flip)
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expect(failure).toMatchObject({
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_tag: "SessionRunnerModel.UnsupportedApiError",
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providerID: "test-provider",
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modelID: "test-model",
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api: "aisdk:@ai-sdk/google",
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})
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}),
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)
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it.effect("reports whether a catalog model has a supported native route", () =>
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Effect.sync(() => {
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expect(
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SessionRunnerModel.supported(
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model({ type: "aisdk", package: "@ai-sdk/openai", url: "https://openai.example/v1" }),
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),
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).toBe(true)
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expect(
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SessionRunnerModel.supported(
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model({ type: "aisdk", package: "@ai-sdk/google", url: "https://google.example/v1" }),
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),
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).toBe(false)
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expect(SessionRunnerModel.supported(model({ type: "native", settings: {} }))).toBe(false)
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}),
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)
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})
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