Files
2026-07-22 23:20:16 -05:00

112 lines
3.8 KiB
TypeScript

import { expect } from "bun:test"
import { LLMClient, LLMEvent, LLMResponse, Model } from "@opencode-ai/ai"
import { OpenAIChat } from "@opencode-ai/ai/protocols"
import { AISDK } from "@opencode-ai/core/aisdk"
import { Catalog } from "@opencode-ai/core/catalog"
import { Generate } from "@opencode-ai/core/generate"
import { Integration } from "@opencode-ai/core/integration"
import { ModelResolver } from "@opencode-ai/core/model-resolver"
import { ModelV2 } from "@opencode-ai/core/model"
import { ProviderV2 } from "@opencode-ai/core/provider"
import { Npm } from "@opencode-ai/util/npm"
import { Effect, Layer, Stream } from "effect"
import { testEffect } from "./lib/effect"
const selected = ModelV2.Info.make({
...ModelV2.Info.default(ProviderV2.ID.make("test-provider"), ModelV2.ID.make("gemini")),
package: ProviderV2.aisdk("@ai-sdk/google"),
})
const runtime = Model.make({ id: "gemini", provider: "test-provider", route: OpenAIChat.route })
const catalog = Layer.mock(Catalog.Service, {
provider: {
get: () => Effect.succeed(undefined),
all: () => Effect.die("unused"),
available: () => Effect.die("unused"),
},
model: {
get: () => Effect.succeed(selected),
all: () => Effect.die("unused"),
available: () => Effect.die("unused"),
default: () => Effect.die("unused"),
small: () => Effect.die("unused"),
},
})
const integrations = Layer.mock(Integration.Service, {
connection: {
active: () => Effect.succeed(undefined),
resolve: () => Effect.die("unused"),
key: () => Effect.die("unused"),
update: () => Effect.die("unused"),
remove: () => Effect.die("unused"),
},
oauth: {
connect: () => Effect.die("unused"),
status: () => Effect.die("unused"),
complete: () => Effect.die("unused"),
cancel: () => Effect.die("unused"),
},
command: {
connect: () => Effect.die("unused"),
status: () => Effect.die("unused"),
cancel: () => Effect.die("unused"),
},
})
const npm = Layer.mock(Npm.Service, {
add: () => Effect.die("unused"),
install: () => Effect.die("unused"),
which: () => Effect.die("unused"),
})
const aisdk = Layer.mock(AISDK.Service, {
hook: {
sdk: () => Effect.die("unused"),
language: () => Effect.die("unused"),
},
model: () => Effect.succeed(runtime),
})
const client = Layer.mock(LLMClient.Service)({
prepare: () => Effect.die("unused"),
stream: () => Stream.die("unused"),
generate: () =>
Effect.sync(() => {
const response = LLMResponse.fromEvents([
LLMEvent.textStart({ id: "generate" }),
LLMEvent.textDelta({ id: "generate", text: "OK" }),
LLMEvent.textEnd({ id: "generate" }),
LLMEvent.finish({ reason: "stop" }),
])
if (!response) throw new Error("Incomplete generate response")
return response
}),
})
const resolver = ModelResolver.layer.pipe(Layer.provide(Layer.mergeAll(catalog, integrations, npm, aisdk)))
const it = testEffect(Generate.layer.pipe(Layer.provide(Layer.merge(resolver, client))))
const resolverIt = testEffect(resolver)
it.effect("loads dynamic AI SDK models", () =>
Effect.gen(function* () {
const generate = yield* Generate.Service
const result = yield* generate.text({
prompt: "Return exactly OK",
model: ModelV2.Ref.make({ providerID: selected.providerID, id: selected.id }),
})
expect(result).toBe("OK")
}),
)
resolverIt.effect("resolves dynamic models with their catalog metadata", () =>
Effect.gen(function* () {
const resolver = yield* ModelResolver.Service
const result = yield* resolver.resolve(ModelV2.Ref.make({ providerID: selected.providerID, id: selected.id }))
expect(result).toEqual({
model: runtime,
ref: ModelV2.Ref.make({ providerID: selected.providerID, id: selected.id }),
capabilities: selected.capabilities,
cost: selected.cost,
})
}),
)