| 1 | import { OpenAiClient, OpenAiEmbeddingModel } from "@effect/ai-openai-compat" |
| 2 | import { assert, describe, it } from "@effect/vitest" |
| 3 | import { Effect, Layer, Redacted } from "effect" |
| 4 | import { EmbeddingModel } from "effect/ai" |
| 5 | import { HttpClient, type HttpClientError, type HttpClientRequest, HttpClientResponse } from "effect/http" |
| 6 | |
| 7 | describe("OpenAiEmbeddingModel", () => { |
| 8 | it.effect("model provides dimensions service", () => |
| 9 | Effect.gen(function*() { |
| 10 | const dimensions = yield* EmbeddingModel.Dimensions |
| 11 | assert.strictEqual(dimensions, 1536) |
| 12 | }).pipe( |
| 13 | Effect.provide(OpenAiEmbeddingModel.model("text-embedding-3-small", { dimensions: 1536 })), |
| 14 | Effect.provideService(OpenAiClient.OpenAiClient, noopOpenAiClient) |
| 15 | )) |
| 16 | |
| 17 | it.effect("reorders embeddings by provider index", () => |
| 18 | Effect.gen(function*() { |
| 19 | let capturedRequest: HttpClientRequest.HttpClientRequest | undefined |
| 20 | |
| 21 | const clientLayer = OpenAiClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 22 | Layer.provide(Layer.succeed( |
| 23 | HttpClient.HttpClient, |
| 24 | makeHttpClient((request) => { |
| 25 | capturedRequest = request |
| 26 | return Effect.succeed(jsonResponse(request, { |
| 27 | data: [ |
| 28 | { index: 1, embedding: [20, 21] }, |
| 29 | { index: 0, embedding: [10, 11] } |
| 30 | ], |
| 31 | model: "text-embedding-3-small", |
| 32 | usage: { |
| 33 | prompt_tokens: 7, |
| 34 | total_tokens: 7 |
| 35 | } |
| 36 | })) |
| 37 | }) |
| 38 | )) |
| 39 | ) |
| 40 | |
| 41 | const response = yield* Effect.gen(function*() { |
| 42 | const model = yield* EmbeddingModel.EmbeddingModel |
| 43 | return yield* model.embedMany(["first", "second"]) |
| 44 | }).pipe( |
| 45 | Effect.provide(OpenAiEmbeddingModel.layer({ model: "text-embedding-3-small" })), |
| 46 | Effect.provide(clientLayer) |
| 47 | ) |
| 48 | |
| 49 | assert.deepStrictEqual(response.embeddings.map((embedding) => embedding.vector), [[10, 11], [20, 21]]) |
| 50 | assert.strictEqual(response.usage.inputTokens, 7) |
| 51 | |
| 52 | assert.isDefined(capturedRequest) |
| 53 | if (capturedRequest === undefined) { |
| 54 | return |
| 55 | } |
| 56 | |
| 57 | const requestBody = yield* getRequestBody(capturedRequest) |
| 58 | assert.strictEqual(requestBody.model, "text-embedding-3-small") |
| 59 | assert.deepStrictEqual(requestBody.input, ["first", "second"]) |
| 60 | })) |
| 61 | |
| 62 | it.effect("merges config and applies withConfigOverride precedence", () => |
| 63 | Effect.gen(function*() { |
| 64 | let capturedRequest: HttpClientRequest.HttpClientRequest | undefined |
| 65 | |
| 66 | const clientLayer = OpenAiClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 67 | Layer.provide(Layer.succeed( |
| 68 | HttpClient.HttpClient, |
| 69 | makeHttpClient((request) => { |
| 70 | capturedRequest = request |
| 71 | return Effect.succeed(jsonResponse(request, { |
| 72 | data: [{ index: 0, embedding: [1, 2, 3] }], |
| 73 | model: "override-model" |
| 74 | })) |
| 75 | }) |
| 76 | )) |
| 77 | ) |
| 78 | |
| 79 | yield* Effect.gen(function*() { |
| 80 | const model = yield* EmbeddingModel.EmbeddingModel |
| 81 | yield* model.embed("hello") |
| 82 | }).pipe( |
| 83 | OpenAiEmbeddingModel.withConfigOverride({ |
| 84 | model: "override-model", |
| 85 | dimensions: 1024, |
| 86 | user: "request-user" |
| 87 | }), |
| 88 | Effect.provide(OpenAiEmbeddingModel.layer({ |
| 89 | model: "base-model", |
| 90 | config: { |
| 91 | dimensions: 256, |
| 92 | user: "provider-user" |
| 93 | } |
| 94 | })), |
| 95 | Effect.provide(clientLayer) |
| 96 | ) |
| 97 | |
| 98 | assert.isDefined(capturedRequest) |
| 99 | if (capturedRequest === undefined) { |
| 100 | return |
| 101 | } |
| 102 | |
| 103 | const requestBody = yield* getRequestBody(capturedRequest) |
| 104 | assert.strictEqual(requestBody.model, "override-model") |
| 105 | assert.strictEqual(requestBody.dimensions, 1024) |
| 106 | assert.strictEqual(requestBody.user, "request-user") |
| 107 | assert.deepStrictEqual(requestBody.input, ["hello"]) |
| 108 | })) |
| 109 | |
| 110 | it.effect("fails with InvalidOutputError when provider returns duplicate indices", () => |
| 111 | Effect.gen(function*() { |
| 112 | const clientLayer = OpenAiClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 113 | Layer.provide(Layer.succeed( |
| 114 | HttpClient.HttpClient, |
| 115 | makeHttpClient((request) => |
| 116 | Effect.succeed(jsonResponse(request, { |
| 117 | data: [ |
| 118 | { index: 0, embedding: [1] }, |
| 119 | { index: 0, embedding: [2] } |
| 120 | ], |
| 121 | model: "text-embedding-3-small", |
| 122 | usage: { |
| 123 | prompt_tokens: 2, |
| 124 | total_tokens: 2 |
| 125 | } |
| 126 | })) |
| 127 | ) |
| 128 | )) |
| 129 | ) |
| 130 | |
| 131 | const error = yield* Effect.gen(function*() { |
| 132 | const model = yield* EmbeddingModel.EmbeddingModel |
| 133 | return yield* model.embedMany(["a", "b"]).pipe(Effect.flip) |
| 134 | }).pipe( |
| 135 | Effect.provide(OpenAiEmbeddingModel.layer({ model: "text-embedding-3-small" })), |
| 136 | Effect.provide(clientLayer) |
| 137 | ) |
| 138 | |
| 139 | assert.strictEqual(error._tag, "AiError") |
| 140 | assert.strictEqual(error.reason._tag, "InvalidOutputError") |
| 141 | })) |
| 142 | |
| 143 | it.effect("fails with InvalidOutputError when provider returns non-vector embedding payload", () => |
| 144 | Effect.gen(function*() { |
| 145 | const clientLayer = OpenAiClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 146 | Layer.provide(Layer.succeed( |
| 147 | HttpClient.HttpClient, |
| 148 | makeHttpClient((request) => |
| 149 | Effect.succeed(jsonResponse(request, { |
| 150 | data: [{ index: 0, embedding: "AQID" }], |
| 151 | model: "text-embedding-3-small", |
| 152 | usage: { |
| 153 | prompt_tokens: 1, |
| 154 | total_tokens: 1 |
| 155 | } |
| 156 | })) |
| 157 | ) |
| 158 | )) |
| 159 | ) |
| 160 | |
| 161 | const error = yield* Effect.gen(function*() { |
| 162 | const model = yield* EmbeddingModel.EmbeddingModel |
| 163 | return yield* model.embed("a").pipe(Effect.flip) |
| 164 | }).pipe( |
| 165 | Effect.provide(OpenAiEmbeddingModel.layer({ model: "text-embedding-3-small" })), |
| 166 | Effect.provide(clientLayer) |
| 167 | ) |
| 168 | |
| 169 | assert.strictEqual(error._tag, "AiError") |
| 170 | assert.strictEqual(error.reason._tag, "InvalidOutputError") |
| 171 | })) |
| 172 | }) |
| 173 | |
| 174 | const makeHttpClient = ( |
| 175 | handler: ( |
| 176 | request: HttpClientRequest.HttpClientRequest |
| 177 | ) => Effect.Effect<HttpClientResponse.HttpClientResponse, HttpClientError.HttpClientError> |
| 178 | ) => |
| 179 | HttpClient.makeWith( |
| 180 | Effect.fnUntraced(function*(requestEffect) { |
| 181 | const request = yield* requestEffect |
| 182 | return yield* handler(request) |
| 183 | }), |
| 184 | Effect.succeed as HttpClient.HttpClient.Preprocess<HttpClientError.HttpClientError, never> |
| 185 | ) |
| 186 | |
| 187 | const jsonResponse = ( |
| 188 | request: HttpClientRequest.HttpClientRequest, |
| 189 | body: unknown |
| 190 | ): HttpClientResponse.HttpClientResponse => |
| 191 | HttpClientResponse.fromWeb( |
| 192 | request, |
| 193 | new Response(JSON.stringify(body), { |
| 194 | status: 200, |
| 195 | headers: { |
| 196 | "content-type": "application/json" |
| 197 | } |
| 198 | }) |
| 199 | ) |
| 200 | |
| 201 | const getRequestBody = (request: HttpClientRequest.HttpClientRequest) => |
| 202 | Effect.gen(function*() { |
| 203 | const body = request.body |
| 204 | if (body._tag === "Uint8Array") { |
| 205 | const text = new TextDecoder().decode(body.body) |
| 206 | return JSON.parse(text) |
| 207 | } |
| 208 | return yield* Effect.die(new Error("Expected Uint8Array body")) |
| 209 | }) |
| 210 | |
| 211 | const noopOpenAiClient: OpenAiClient.Service = { |
| 212 | client: undefined as unknown as OpenAiClient.Service["client"], |
| 213 | createResponse: () => Effect.die(new Error("noop")), |
| 214 | createResponseStream: () => Effect.die(new Error("noop")), |
| 215 | createEmbedding: () => Effect.die(new Error("noop")) |
| 216 | } |