Buckets:
| import { describe, expect, it as bun_it } from "bun:test" | |
| import { Effect } from "effect" | |
| import { PluginV2 } from "@opencode-ai/core/plugin" | |
| import { SnowflakeCortexPlugin, cortexFetch } from "@opencode-ai/core/plugin/provider/snowflake-cortex" | |
| import { ProviderPlugins } from "@opencode-ai/core/plugin/provider" | |
| import { expectPluginRegistered, it, model, withEnv } from "./provider-helper" | |
| describe("SnowflakeCortexPlugin", () => { | |
| it.effect("is registered in ProviderPlugins before OpenAICompatiblePlugin", () => | |
| Effect.sync(() => { | |
| expectPluginRegistered( | |
| ProviderPlugins.map((item) => item.id), | |
| "snowflake-cortex", | |
| ) | |
| const ids = ProviderPlugins.map((p) => p.id as string) | |
| 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 | |
| yield* plugin.add(SnowflakeCortexPlugin) | |
| const result = yield* plugin.trigger( | |
| "aisdk.sdk", | |
| { model: model("openai", "gpt-4"), 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 | |
| yield* plugin.add(SnowflakeCortexPlugin) | |
| const result = yield* plugin.trigger( | |
| "aisdk.sdk", | |
| { | |
| model: model("snowflake-cortex", "claude-sonnet-4-6"), | |
| 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 | |
| yield* plugin.add(SnowflakeCortexPlugin) | |
| const result = yield* plugin.trigger( | |
| "aisdk.sdk", | |
| { | |
| model: model("snowflake-cortex", "claude-sonnet-4-6"), | |
| 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("sets includeUsage on the SDK options", () => | |
| withEnv({ SNOWFLAKE_CORTEX_PAT: "test-pat" }, () => | |
| Effect.gen(function* () { | |
| const plugin = yield* PluginV2.Service | |
| const captured: Record<string, unknown>[] = [] | |
| yield* plugin.add(SnowflakeCortexPlugin) | |
| yield* plugin.add({ | |
| id: PluginV2.ID.make("inspector"), | |
| effect: Effect.succeed({ | |
| "aisdk.sdk": (evt) => | |
| Effect.sync(() => { | |
| captured.push({ ...evt.options }) | |
| }), | |
| }), | |
| }) | |
| yield* plugin.trigger( | |
| "aisdk.sdk", | |
| { | |
| model: model("snowflake-cortex", "claude-sonnet-4-6"), | |
| package: "@ai-sdk/openai-compatible", | |
| options: { name: "snowflake-cortex", baseURL: "https://test.snowflakecomputing.com/api/v2/cortex/v1" }, | |
| }, | |
| {}, | |
| ) | |
| expect(captured[0]?.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":""') | |
| }) | |
| }) | |
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