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feat(http-recorder): sync recorder v0.3 (#35619)

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Kit Langton 2026-07-08 11:41:59 -04:00 • committed by GitHub
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17
packages/core/test/session-runner-recorded.test.ts
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@ -1,5 +1,4 @@
import { HttpRecorder } from "@opencode-ai/http-recorder"
import { HttpRecorderInternal } from "@opencode-ai/http-recorder/internal"
import * as OpenAIChat from "@opencode-ai/llm/protocols/openai-chat"
import { Auth, LLMClient, RequestExecutor } from "@opencode-ai/llm/route"
import { Database } from "@opencode-ai/core/database/database"
@ -43,15 +42,13 @@ import { Effect, Layer } from "effect"
import path from "node:path"
import { testEffect } from "./lib/effect"
const cassette =
process.env.RECORD === "true"
? HttpRecorderInternal.cassetteLayer("session-runner/openai-chat-streams-text", {
directory: path.resolve(import.meta.dir, "fixtures/recordings"),
mode: "record",
})
: HttpRecorder.http("session-runner/openai-chat-streams-text", {
directory: path.resolve(import.meta.dir, "fixtures/recordings"),
})
const cassetteName = "session-runner/openai-chat-streams-text"
const cassetteDirectory = path.resolve(import.meta.dir, "fixtures/recordings")
if (process.env.RECORD === "true") {
if (process.env.CI !== undefined) throw new Error("Unset CI before recording HTTP cassettes")
HttpRecorder.removeCassetteSync(cassetteName, { directory: cassetteDirectory })
}
const cassette = HttpRecorder.layerFetch(cassetteName, { directory: cassetteDirectory })
const executor = RequestExecutor.layer.pipe(Layer.provide(cassette))
const client = LLMClient.layer.pipe(Layer.provide(executor))
const permission = Layer.succeed(