opencode/packages/llm/test/executor.test.ts

import { describe, expect } from "bun:test"
import { Effect, Layer, Ref } from "effect"
import { Headers, HttpClient, HttpClientRequest, HttpClientResponse } from "effect/unstable/http"
import { LLM, isLLMError, type LLMError } from "../src"
import { LLMClient, RequestExecutor } from "../src/route"
import * as OpenAIChat from "../src/protocols/openai-chat"
import { dynamicResponse } from "./lib/http"
import { deltaChunk } from "./lib/openai-chunks"
import { sseRaw } from "./lib/sse"
import { it } from "./lib/effect"

const request = HttpClientRequest.post("https://provider.test/v1/chat?api_key=secret&key=secret&debug=1").pipe(
  HttpClientRequest.setHeaders(Headers.fromInput({ authorization: "Bearer secret", "x-safe": "visible" })),
)

const secretRequest = HttpClientRequest.post("https://provider.test/v1/chat?api_key=query-secret-123&debug=1").pipe(
  HttpClientRequest.setHeaders(Headers.fromInput({ authorization: "Bearer header-secret-456" })),
)

const responsesLayer = (responses: ReadonlyArray<Response>) =>
  RequestExecutor.layer.pipe(
    Layer.provide(
      Layer.unwrap(
        Effect.gen(function* () {
          const cursor = yield* Ref.make(0)
          return Layer.succeed(
            HttpClient.HttpClient,
            HttpClient.make((request) =>
              Effect.gen(function* () {
                const index = yield* Ref.getAndUpdate(cursor, (value) => value + 1)
                return HttpClientResponse.fromWeb(request, responses[index] ?? responses[responses.length - 1])
              }),
            ),
          )
        }),
      ),
    ),
  )

const countedResponsesLayer = (attempts: Ref.Ref<number>, responses: ReadonlyArray<Response>) =>
  RequestExecutor.layer.pipe(
    Layer.provide(
      Layer.unwrap(
        Effect.gen(function* () {
          const cursor = yield* Ref.make(0)
          return Layer.succeed(
            HttpClient.HttpClient,
            HttpClient.make((request) =>
              Effect.gen(function* () {
                yield* Ref.update(attempts, (value) => value + 1)
                const index = yield* Ref.getAndUpdate(cursor, (value) => value + 1)
                return HttpClientResponse.fromWeb(request, responses[index] ?? responses[responses.length - 1])
              }),
            ),
          )
        }),
      ),
    ),
  )

const expectLLMError = (error: unknown) => {
  expect(isLLMError(error)).toBe(true)
  if (!isLLMError(error)) throw new Error("expected LLMError")
  return error
}

const errorHttp = (error: LLMError) => ("http" in error ? error.http : undefined)

describe("RequestExecutor", () => {
  it.effect("classifies context overflow responses", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
      const error = yield* executor.execute(request).pipe(Effect.flip)

      expectLLMError(error)
      expect(error).toMatchObject({ _tag: "LLM.ContextOverflow" })
    }).pipe(
      Effect.provide(
        responsesLayer([
          new Response('{"error":{"code":"context_length_exceeded","message":"prompt too long"}}', {
            status: 400,
          }),
        ]),
      ),
    ),
  )

  it.effect("does not classify generic HTTP 413 payload errors as context overflow", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
      const error = yield* executor.execute(request).pipe(Effect.flip)

      expectLLMError(error)
      expect(error).toMatchObject({ _tag: "LLM.BadRequest" })
    }).pipe(Effect.provide(responsesLayer([new Response("request too large", { status: 413 })]))),
  )

  it.effect("does not classify ordinary invalid requests as context overflow", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
      const error = yield* executor.execute(request).pipe(Effect.flip)

      expectLLMError(error)
      expect(error).toMatchObject({ _tag: "LLM.BadRequest" })
    }).pipe(Effect.provide(responsesLayer([new Response("invalid parameter", { status: 400 })]))),
  )

  it.effect("returns redacted diagnostics for rate limits", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
      const error = yield* executor.execute(request).pipe(Effect.flip)

      expectLLMError(error)
      expect(error).toMatchObject({
        _tag: "LLM.RateLimit",
        retryAfterMs: 0,
        rateLimit: { retryAfterMs: 0 },
        http: {
          requestId: "req_123",
          request: {
            method: "POST",
            url: "https://provider.test/v1/chat?api_key=%3Credacted%3E&key=%3Credacted%3E&debug=1",
            headers: { authorization: "<redacted>", "x-safe": "visible" },
          },
          response: {
            status: 429,
            headers: {
              "retry-after-ms": "0",
              "x-request-id": "req_123",
              "x-api-key": "<redacted>",
            },
          },
        },
      })
      expect(errorHttp(error)?.body).toBe("rate limited")
    }).pipe(
      Effect.provide(
        responsesLayer([
          new Response("rate limited", {
            status: 429,
            headers: { "retry-after-ms": "0", "x-request-id": "req_123", "x-api-key": "secret" },
          }),
        ]),
      ),
    ),
  )

  it.effect("honors current redacted header names in diagnostics", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
      const error = yield* executor.execute(request).pipe(Effect.flip)

      expectLLMError(error)
      expect(errorHttp(error)?.request.headers["x-safe"]).toBe("<redacted>")
      expect(errorHttp(error)?.response?.headers["x-safe"]).toBe("<redacted>")
    }).pipe(
      Effect.provide(responsesLayer([new Response("bad", { status: 400, headers: { "x-safe": "response-secret" } })])),
      Effect.provideService(Headers.CurrentRedactedNames, ["x-safe"]),
    ),
  )

  it.effect("extracts OpenAI-style rate-limit diagnostics", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
      const error = yield* executor.execute(request).pipe(Effect.flip)

      expectLLMError(error)
      expect(error).toMatchObject({ _tag: "LLM.RateLimit" })
      expect(error._tag === "LLM.RateLimit" ? error.rateLimit : undefined).toEqual({
        retryAfterMs: 0,
        limit: { requests: "500", tokens: "30000" },
        remaining: { requests: "499", tokens: "29900" },
        reset: { requests: "1s", tokens: "10s" },
      })
    }).pipe(
      Effect.provide(
        responsesLayer([
          new Response("rate limited", {
            status: 429,
            headers: {
              "retry-after-ms": "0",
              "x-ratelimit-limit-requests": "500",
              "x-ratelimit-limit-tokens": "30000",
              "x-ratelimit-remaining-requests": "499",
              "x-ratelimit-remaining-tokens": "29900",
              "x-ratelimit-reset-requests": "1s",
              "x-ratelimit-reset-tokens": "10s",
            },
          }),
        ]),
      ),
    ),
  )

  it.effect("extracts Anthropic-style rate-limit diagnostics", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
      const error = yield* executor.execute(request).pipe(Effect.flip)

      expectLLMError(error)
      expect(error).toMatchObject({ _tag: "LLM.ServerError" })
      expect(errorHttp(error)?.rateLimit).toEqual({
        retryAfterMs: 0,
        limit: { requests: "100", "input-tokens": "10000" },
        remaining: { requests: "12", "input-tokens": "9000" },
        reset: { requests: "2026-05-06T12:00:00Z", "input-tokens": "2026-05-06T12:00:10Z" },
      })
    }).pipe(
      Effect.provide(
        responsesLayer([
          new Response("overloaded", {
            status: 529,
            headers: {
              "retry-after-ms": "0",
              "anthropic-ratelimit-requests-limit": "100",
              "anthropic-ratelimit-requests-remaining": "12",
              "anthropic-ratelimit-requests-reset": "2026-05-06T12:00:00Z",
              "anthropic-ratelimit-input-tokens-limit": "10000",
              "anthropic-ratelimit-input-tokens-remaining": "9000",
              "anthropic-ratelimit-input-tokens-reset": "2026-05-06T12:00:10Z",
            },
          }),
        ]),
      ),
    ),
  )

  it.effect("returns provider status failures without retrying", () =>
    Effect.gen(function* () {
      const attempts = yield* Ref.make(0)
      const error = yield* Effect.gen(function* () {
        const executor = yield* RequestExecutor.Service
        return yield* executor.execute(request).pipe(Effect.flip)
      }).pipe(
        Effect.provide(
          countedResponsesLayer(attempts, [
            new Response("busy", { status: 503, headers: { "retry-after-ms": "0" } }),
            new Response("ok", { status: 200 }),
          ]),
        ),
      )

      expectLLMError(error)
      expect(error).toMatchObject({ _tag: "LLM.ServerError", status: 503 })
      expect(yield* Ref.get(attempts)).toBe(1)
    }),
  )

  it.effect("marks 504 and 529 status responses as server errors", () =>
    Effect.gen(function* () {
      const failWith = (status: number) =>
        Effect.gen(function* () {
          const executor = yield* RequestExecutor.Service
          const error = yield* executor.execute(request).pipe(Effect.flip)

          expectLLMError(error)
          expect(error).toMatchObject({ _tag: "LLM.ServerError", status })
        }).pipe(
          Effect.provide(
            responsesLayer([
              new Response("provider failure", {
                status,
                headers: { "retry-after-ms": "0" },
              }),
            ]),
          ),
        )

      yield* failWith(504)
      yield* failWith(529)
    }),
  )

  it.effect("truncates large authentication error bodies", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
      const error = yield* executor.execute(request).pipe(Effect.flip)

      expectLLMError(error)
      expect(error).toMatchObject({ _tag: "LLM.Authentication" })
      expect(errorHttp(error)?.bodyTruncated).toBe(true)
      expect(errorHttp(error)?.body).toHaveLength(16_384)
    }).pipe(
      Effect.provide(
        responsesLayer([
          new Response("x".repeat(20_000), { status: 401 }),
          new Response("should not retry", { status: 200 }),
        ]),
      ),
    ),
  )

  it.effect("redacts common secret fields in response bodies", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
      const error = yield* executor.execute(request).pipe(Effect.flip)

      expectLLMError(error)
      expect(errorHttp(error)?.body).toContain('"key":"<redacted>"')
      expect(errorHttp(error)?.body).toContain("api_key=<redacted>")
      expect(errorHttp(error)?.body).not.toContain("body-secret")
      expect(errorHttp(error)?.body).not.toContain("query-secret")
    }).pipe(
      Effect.provide(
        responsesLayer([
          new Response('{"error":{"message":"bad","key":"body-secret","detail":"api_key=query-secret"}}', {
            status: 400,
          }),
        ]),
      ),
    ),
  )

  it.effect("redacts echoed request secret values in response bodies", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
      const error = yield* executor.execute(secretRequest).pipe(Effect.flip)

      expectLLMError(error)
      expect(errorHttp(error)?.body).toContain("provider echoed <redacted>")
      expect(errorHttp(error)?.body).toContain("authorization <redacted>")
      expect(errorHttp(error)?.body).not.toContain("query-secret-123")
      expect(errorHttp(error)?.body).not.toContain("header-secret-456")
    }).pipe(
      Effect.provide(
        responsesLayer([
          new Response("provider echoed query-secret-123 and authorization header-secret-456", { status: 400 }),
        ]),
      ),
    ),
  )

  it.effect("does not re-execute after a successful response reaches stream parsing", () =>
    Effect.gen(function* () {
      const attempts = yield* Ref.make(0)
      const model = OpenAIChat.route
        .with({ endpoint: { baseURL: "https://api.openai.test/v1" } })
        .model({ id: "gpt-4o-mini" })
      const error = yield* LLMClient.generate(LLM.request({ model, prompt: "Say hello." })).pipe(
        Effect.provide(
          dynamicResponse((input) =>
            Ref.update(attempts, (value) => value + 1).pipe(
              Effect.as(
                input.respond(
                  sseRaw(
                    `data: ${JSON.stringify(deltaChunk({ role: "assistant", content: "Hello" }))}`,
                    "data: not-json",
                  ),
                  { headers: { "content-type": "text/event-stream" } },
                ),
              ),
            ),
          ),
        ),
        Effect.flip,
      )

      expectLLMError(error)
      expect(error).toMatchObject({ _tag: "LLM.MalformedResponse" })
      expect(yield* Ref.get(attempts)).toBe(1)
    }),
  )
})