| import { AISDK } from "@opencode-ai/core/aisdk" |
| import { describe, expect, it as bun_it } from "bun:test" |
| import { Effect } from "effect" |
| import { ModelV2 } from "@opencode-ai/core/model" |
| import { PluginV2 } from "@opencode-ai/core/plugin" |
| import { PluginHost } from "@opencode-ai/core/plugin/host" |
| import { SnowflakeCortexPlugin, cortexFetch } from "@opencode-ai/core/plugin/provider/snowflake-cortex" |
| import { ProviderPlugins } from "@opencode-ai/core/plugin/provider" |
| import { ProviderV2 } from "@opencode-ai/core/provider" |
| import { testEffect } from "../lib/effect" |
| import { PluginTestLayer } from "./fixture" |
|
|
| const it = testEffect(PluginTestLayer) |
|
|
| const addPlugin = Effect.fn(function* () { |
| const plugin = yield* PluginV2.Service |
| const aisdk = yield* AISDK.Service |
| const host = yield* PluginHost.make(plugin) |
| yield* SnowflakeCortexPlugin.effect(host) |
| }) |
|
|
| function withEnv<A, E, R>(vars: Record<string, string | undefined>, effect: () => Effect.Effect<A, E, R>) { |
| return Effect.acquireUseRelease( |
| Effect.sync(() => { |
| const previous = Object.fromEntries(Object.keys(vars).map((key) => [key, process.env[key]])) |
| Object.entries(vars).forEach(([key, value]) => { |
| if (value === undefined) delete process.env[key] |
| else process.env[key] = value |
| }) |
| return previous |
| }), |
| effect, |
| (previous) => |
| Effect.sync(() => { |
| Object.entries(previous).forEach(([key, value]) => { |
| if (value === undefined) delete process.env[key] |
| else process.env[key] = value |
| }) |
| }), |
| ) |
| } |
|
|
| describe("SnowflakeCortexPlugin", () => { |
| it.effect("is registered in ProviderPlugins before OpenAICompatiblePlugin", () => |
| Effect.sync(() => { |
| expect(ProviderPlugins.map((item) => item.id)).toContain(PluginV2.ID.make("snowflake-cortex")) |
| const ids = ProviderPlugins.map((p) => p.id) |
| expect(ids.indexOf("snowflake-cortex")).toBeLessThan(ids.indexOf("openai-compatible")) |
| }), |
| ) |
|
|
| it.effect("ignores non-snowflake-cortex providers", () => |
| Effect.gen(function* () { |
| const plugin = yield* PluginV2.Service |
| const aisdk = yield* AISDK.Service |
| yield* addPlugin() |
| const result = yield* aisdk.runSDK({ |
| model: ModelV2.Info.make({ |
| ...ModelV2.Info.empty(ProviderV2.ID.make("openai"), ModelV2.ID.make("gpt-4")), |
| api: { id: ModelV2.ID.make("gpt-4"), type: "aisdk", package: "test-provider" }, |
| }), |
| package: "@ai-sdk/openai", |
| options: { name: "openai" }, |
| }) |
| expect(result.sdk).toBeUndefined() |
| }), |
| ) |
|
|
| it.effect("creates SDK for snowflake-cortex using SNOWFLAKE_CORTEX_PAT env var", () => |
| withEnv({ SNOWFLAKE_CORTEX_PAT: "test-pat" }, () => |
| Effect.gen(function* () { |
| const plugin = yield* PluginV2.Service |
| const aisdk = yield* AISDK.Service |
| yield* addPlugin() |
| const result = yield* aisdk.runSDK({ |
| model: ModelV2.Info.make({ |
| ...ModelV2.Info.empty(ProviderV2.ID.make("snowflake-cortex"), ModelV2.ID.make("claude-sonnet-4-6")), |
| api: { id: ModelV2.ID.make("claude-sonnet-4-6"), type: "aisdk", package: "test-provider" }, |
| }), |
| package: "@ai-sdk/openai-compatible", |
| options: { name: "snowflake-cortex", baseURL: "https://test.snowflakecomputing.com/api/v2/cortex/v1" }, |
| }) |
| expect(result.sdk).toBeDefined() |
| }), |
| ), |
| ) |
|
|
| it.effect("falls back to options.apiKey when SNOWFLAKE_CORTEX_PAT env var is absent", () => |
| withEnv({ SNOWFLAKE_CORTEX_PAT: undefined }, () => |
| Effect.gen(function* () { |
| const plugin = yield* PluginV2.Service |
| const aisdk = yield* AISDK.Service |
| yield* addPlugin() |
| const result = yield* aisdk.runSDK({ |
| model: ModelV2.Info.make({ |
| ...ModelV2.Info.empty(ProviderV2.ID.make("snowflake-cortex"), ModelV2.ID.make("claude-sonnet-4-6")), |
| api: { id: ModelV2.ID.make("claude-sonnet-4-6"), type: "aisdk", package: "test-provider" }, |
| }), |
| package: "@ai-sdk/openai-compatible", |
| options: { |
| name: "snowflake-cortex", |
| baseURL: "https://test.snowflakecomputing.com/api/v2/cortex/v1", |
| apiKey: "options-pat", |
| }, |
| }) |
| expect(result.sdk).toBeDefined() |
| }), |
| ), |
| ) |
|
|
| it.effect("uses SNOWFLAKE_CORTEX_TOKEN env var", () => |
| withEnv({ SNOWFLAKE_CORTEX_TOKEN: "oauth-token", SNOWFLAKE_CORTEX_PAT: undefined }, () => |
| Effect.gen(function* () { |
| const plugin = yield* PluginV2.Service |
| const aisdk = yield* AISDK.Service |
| yield* addPlugin() |
| const result = yield* aisdk.runSDK({ |
| model: ModelV2.Info.make({ |
| ...ModelV2.Info.empty(ProviderV2.ID.make("snowflake-cortex"), ModelV2.ID.make("claude-sonnet-4-6")), |
| api: { id: ModelV2.ID.make("claude-sonnet-4-6"), type: "aisdk", package: "test-provider" }, |
| }), |
| package: "@ai-sdk/openai-compatible", |
| options: { name: "snowflake-cortex", baseURL: "https://test.snowflakecomputing.com/api/v2/cortex/v1" }, |
| }) |
| expect(result.sdk).toBeDefined() |
| }), |
| ), |
| ) |
|
|
| it.effect("falls back to options.token when no Snowflake env token is set", () => |
| withEnv({ SNOWFLAKE_CORTEX_TOKEN: undefined, SNOWFLAKE_CORTEX_PAT: undefined }, () => |
| Effect.gen(function* () { |
| const plugin = yield* PluginV2.Service |
| const aisdk = yield* AISDK.Service |
| yield* addPlugin() |
| const result = yield* aisdk.runSDK({ |
| model: ModelV2.Info.make({ |
| ...ModelV2.Info.empty(ProviderV2.ID.make("snowflake-cortex"), ModelV2.ID.make("claude-sonnet-4-6")), |
| api: { id: ModelV2.ID.make("claude-sonnet-4-6"), type: "aisdk", package: "test-provider" }, |
| }), |
| package: "@ai-sdk/openai-compatible", |
| options: { |
| name: "snowflake-cortex", |
| baseURL: "https://test.snowflakecomputing.com/api/v2/cortex/v1", |
| token: "options-token", |
| }, |
| }) |
| expect(result.sdk).toBeDefined() |
| }), |
| ), |
| ) |
|
|
| it.effect("sets includeUsage on the SDK options", () => |
| withEnv({ SNOWFLAKE_CORTEX_PAT: "test-pat" }, () => |
| Effect.gen(function* () { |
| const plugin = yield* PluginV2.Service |
| const aisdk = yield* AISDK.Service |
| yield* addPlugin() |
| const result = yield* aisdk.runSDK({ |
| model: ModelV2.Info.make({ |
| ...ModelV2.Info.empty(ProviderV2.ID.make("snowflake-cortex"), ModelV2.ID.make("claude-sonnet-4-6")), |
| api: { id: ModelV2.ID.make("claude-sonnet-4-6"), type: "aisdk", package: "test-provider" }, |
| }), |
| package: "@ai-sdk/openai-compatible", |
| options: { name: "snowflake-cortex", baseURL: "https://test.snowflakecomputing.com/api/v2/cortex/v1" }, |
| }) |
| expect(result.options.includeUsage).toBe(true) |
| }), |
| ), |
| ) |
| }) |
|
|
| type FetchLike = (url: string | URL | Request, init?: RequestInit) => Promise<Response> |
|
|
| describe("cortexFetch", () => { |
| bun_it("rewrites max_tokens to max_completion_tokens", async () => { |
| const captured: RequestInit[] = [] |
| const upstream: FetchLike = async (_url, init) => { |
| captured.push(init ?? {}) |
| return new Response("{}", { status: 200 }) |
| } |
| await cortexFetch(upstream)("https://test", { |
| method: "POST", |
| body: JSON.stringify({ model: "claude-sonnet-4-6", max_tokens: 1024 }), |
| }) |
| const body = JSON.parse(captured[0].body as string) |
| expect(body.max_completion_tokens).toBe(1024) |
| expect(body.max_tokens).toBeUndefined() |
| }) |
|
|
| bun_it("preserves body when max_tokens is absent", async () => { |
| const captured: RequestInit[] = [] |
| const upstream: FetchLike = async (_url, init) => { |
| captured.push(init ?? {}) |
| return new Response("{}", { status: 200 }) |
| } |
| const original = JSON.stringify({ model: "claude-sonnet-4-6", temperature: 0.7 }) |
| await cortexFetch(upstream)("https://test", { method: "POST", body: original }) |
| expect(captured[0].body).toBe(original) |
| }) |
|
|
| bun_it("treats 400 'conversation complete' as a stop response", async () => { |
| const upstream: FetchLike = async () => |
| new Response(JSON.stringify({ message: "Conversation complete" }), { |
| status: 400, |
| headers: { "content-type": "application/json" }, |
| }) |
| const response = await cortexFetch(upstream)("https://test", {}) |
| expect(response.status).toBe(200) |
| const data = (await response.json()) as { choices: { finish_reason: string }[] } |
| expect(data.choices[0].finish_reason).toBe("stop") |
| }) |
|
|
| bun_it("passes through other 400 errors unchanged", async () => { |
| const upstream: FetchLike = async () => |
| new Response(JSON.stringify({ message: "Invalid model" }), { |
| status: 400, |
| headers: { "content-type": "application/json" }, |
| }) |
| const response = await cortexFetch(upstream)("https://test", {}) |
| expect(response.status).toBe(400) |
| }) |
|
|
| bun_it("passes through non-400 errors unchanged", async () => { |
| const upstream: FetchLike = async () => new Response("Unauthorized", { status: 401 }) |
| const response = await cortexFetch(upstream)("https://test", {}) |
| expect(response.status).toBe(401) |
| }) |
|
|
| bun_it("handles invalid JSON body gracefully without throwing", async () => { |
| const captured: RequestInit[] = [] |
| const upstream: FetchLike = async (_url, init) => { |
| captured.push(init ?? {}) |
| return new Response("{}", { status: 200 }) |
| } |
| const invalidBody = "{ not json }" |
| await cortexFetch(upstream)("https://test", { method: "POST", body: invalidBody }) |
| expect(captured[0].body).toBe(invalidBody) |
| }) |
|
|
| bun_it("rewrites role:'' to role:'assistant' in streaming SSE chunks", async () => { |
| const chunk = `data: {"choices":[{"delta":{"role":"","content":"Hi"},"index":0}]}\n\n` |
| const upstream: FetchLike = async () => |
| new Response( |
| new ReadableStream({ |
| start: (ctrl) => { |
| ctrl.enqueue(new TextEncoder().encode(chunk)) |
| ctrl.close() |
| }, |
| }), |
| { |
| status: 200, |
| headers: { "content-type": "text/event-stream" }, |
| }, |
| ) |
| const response = await cortexFetch(upstream)("https://test", {}) |
| const text = await response.text() |
| expect(text).toContain('"role":"assistant"') |
| expect(text).not.toContain('"role":""') |
| }) |
| }) |
|
|