refactor(ai): remove unused test code (#53126)

packages/ai/test/effort-updates.test.ts

@@ -1,13 +1,12 @@
 import { describe, expect, test } from "bun:test"
 import { Effect } from "effect"
-import { LLM, LLMRequest, Message, ToolCallPart } from "../src/index.js"
+import { LLM, Message, ToolCallPart } from "../src/index.js"
 import { Auth, LLMClient } from "../src/route.js"
 import { compileRequest } from "../src/route/client.js"
 import { AnthropicMessages } from "../src/protocols/anthropic-messages.js"
 import { OpenAIResponses } from "../src/protocols/openai-responses.js"
 import { Gemini } from "../src/protocols/gemini.js"
 import { GoogleVertexMessages, OpenAI } from "../src/providers.js"
-import { applyCachePolicy } from "../src/cache-policy.js"
 import { applyEffortUpdates } from "../src/effort-updates.js"
 import { it, testEffect } from "./lib/effect.js"
 import { dynamicResponse } from "./lib/http.js"

packages/ai/test/lib/tool-runtime.ts

@@ -8,7 +8,6 @@ import {
   type ProviderMetadata,
   type ToolCallPart,
   ToolResultPart,
-  type ToolResultValue,
   type Usage,
 } from "../../src/schema/index.js"
 import { type Tools, toDefinitions } from "../../src/tool.js"

packages/ai/test/provider-error.test.ts

@@ -39,9 +39,7 @@ describe("provider error classification", () => {
     ]
 
     expect(failures).toEqual(
-      failures.map((failure) =>
-        expect.objectContaining({ _tag: "InvalidRequest", classification: "payload-too-large" }),
-      ),
+      failures.map(() => expect.objectContaining({ _tag: "InvalidRequest", classification: "payload-too-large" })),
     )
   })
 

packages/ai/test/provider/bedrock-converse.test.ts

@@ -21,7 +21,6 @@ import {
 import { LLMClient } from "../../src/route.js"
 import { compileRequest } from "../../src/route/client.js"
 import { AmazonBedrock } from "../../src/providers.js"
-import * as BedrockConverse from "../../src/protocols/bedrock-converse.js"
 import { it } from "../lib/effect.js"
 import { withProcessEnv } from "../lib/env.js"
 import { dynamicResponse, fixedResponse } from "../lib/http.js"

packages/ai/test/provider/cloudflare.test.ts

@@ -1,4 +1,4 @@
-import { describe, expect, test } from "bun:test"
+import { describe, expect } from "bun:test"
 import { ConfigProvider, Effect, Schema } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
 import { LLM, LLMEvent } from "../../src/index.js"

packages/ai/test/provider/evaluation.recorded.test.ts

@@ -52,7 +52,6 @@ describe("experimental Evaluation recorded", () => {
   typesafe.effect("evaluates choice score and boolean questions", () =>
     assertEvaluation(
       TypeSafeAI.configure({ apiKey: process.env.TYPESAFE_API_KEY ?? "fixture" }).experimental.evaluation("jev-latest"),
-      "typesafe",
     ),
   )
 
@@ -61,7 +60,6 @@ describe("experimental Evaluation recorded", () => {
       OpenCodeZen.configure({ apiKey: process.env.OPENCODE_API_KEY ?? "fixture" }).experimental.evaluation(
         "jev-1.13-free",
       ),
-      "opencode",
     ),
   )
 
@@ -70,15 +68,11 @@ describe("experimental Evaluation recorded", () => {
       OpenRouter.configure({ apiKey: process.env.OPENROUTER_API_KEY ?? "fixture" }).experimental.evaluation(
         "typesafe/jev-1.13",
       ),
-      "openrouter",
     ),
   )
 })
 
-const assertEvaluation = <Options extends EvaluationOptions>(
-  model: EvaluationModel<Options>,
-  metadataKey: "typesafe" | "opencode" | "openrouter",
-) =>
+const assertEvaluation = <Options extends EvaluationOptions>(model: EvaluationModel<Options>) =>
   Effect.gen(function* () {
     const response = yield* Evaluation.run({ model, state, questions })
     expect(response.model).toContain("jev-")

packages/ai/test/provider/openai-chat-reasoning.recorded.test.ts

@@ -1,7 +1,6 @@
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
 import { LLM, LLMEvent, LLMResponse, LanguageModel } from "../../src/index.js"
-import { OpenAIChat } from "../../src/protocols/openai-chat.js"
 import * as OpenAICompatible from "../../src/providers/openai-compatible.js"
 import * as OpenRouter from "../../src/providers/openrouter.js"
 import { LLMClient } from "../../src/route.js"

packages/ai/test/provider/openai-compatible-chat.test.ts

@@ -1,4 +1,4 @@
-import { describe, expect, test } from "bun:test"
+import { describe, expect } from "bun:test"
 import { Effect, Schema } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
 import { LLM, LLMRequest, Message, ToolCallPart, ToolChoice, ToolDefinition } from "../../src/index.js"

packages/ai/test/provider/openai-responses.test.ts

@@ -3895,7 +3895,6 @@ describe("OpenAI Responses route", () => {
 
   it.effect("preserves foreign hosted images as portable image content when storage is enabled", () =>
     Effect.gen(function* () {
-      const item = { type: "image_generation_call", id: "ig_1", status: "completed", result: "AQID" }
       const prepared = yield* compileRequest(
         LLM.request({
           model: xaiModel,

packages/ai/test/recorded-scenarios.ts

@@ -127,11 +127,6 @@ const assistantContent = (events: ReadonlyArray<LLMEvent>) =>
 export const expectFinish = (events: ReadonlyArray<LLMEvent>, reason: FinishReason) =>
   expect(events.at(-1)).toMatchObject({ type: "finish", reason: { normalized: reason } })
 
-export const expectWeatherToolCall = (response: LLMResponse) =>
-  expect(response.toolCalls).toMatchObject([
-    { type: "tool-call", id: expect.any(String), name: weatherToolName, input: { city: "Paris" } },
-  ])
-
 export const expectWeatherToolLoop = (events: ReadonlyArray<LLMEvent>) => {
   const finishes = events.filter(LLMEvent.is.finish)
   expect(finishes).toHaveLength(1)