| 1 | import { AnthropicClient, AnthropicLanguageModel, AnthropicTool } from "@effect/ai-anthropic" |
| 2 | import { assert, describe, it } from "@effect/vitest" |
| 3 | import { Cause, Effect, Exit, Layer, Option, Redacted, Schema, Stream } from "effect" |
| 4 | import { |
| 5 | type AiError, |
| 6 | AnthropicStructuredOutput, |
| 7 | LanguageModel, |
| 8 | Prompt, |
| 9 | Response as AiResponse, |
| 10 | Tool, |
| 11 | Toolkit |
| 12 | } from "effect/ai" |
| 13 | import { HttpClient, type HttpClientError, type HttpClientRequest, HttpClientResponse } from "effect/http" |
| 14 | |
| 15 | describe("AnthropicLanguageModel", () => { |
| 16 | describe("streamText", () => { |
| 17 | for ( |
| 18 | const [label, geo] of [ |
| 19 | ["missing", {}], |
| 20 | ["null", { inference_geo: null }], |
| 21 | ["string", { inference_geo: "us" }] |
| 22 | ] as const |
| 23 | ) { |
| 24 | it.effect(`accepts ${label} usage.inference_geo in message_start`, () => |
| 25 | Effect.gen(function*() { |
| 26 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 27 | Layer.provide(Layer.succeed( |
| 28 | HttpClient.HttpClient, |
| 29 | makeHttpClient((request) => |
| 30 | Effect.succeed(sseResponse(request, [ |
| 31 | { |
| 32 | type: "message_start", |
| 33 | message: { |
| 34 | id: "msg_test_1", |
| 35 | type: "message", |
| 36 | role: "assistant", |
| 37 | model: "claude-sonnet-4-20250514", |
| 38 | content: [], |
| 39 | stop_reason: null, |
| 40 | stop_sequence: null, |
| 41 | usage: { |
| 42 | cache_creation: null, |
| 43 | cache_creation_input_tokens: null, |
| 44 | cache_read_input_tokens: null, |
| 45 | ...geo, |
| 46 | input_tokens: 10, |
| 47 | output_tokens: 0, |
| 48 | service_tier: null |
| 49 | } |
| 50 | } |
| 51 | }, |
| 52 | { type: "content_block_start", index: 0, content_block: { type: "text", text: "Hello" } }, |
| 53 | { type: "content_block_delta", index: 0, delta: { type: "text_delta", text: "Hello" } }, |
| 54 | { type: "content_block_stop", index: 0 }, |
| 55 | { |
| 56 | type: "message_delta", |
| 57 | delta: { stop_reason: "end_turn", stop_sequence: null }, |
| 58 | usage: { |
| 59 | cache_creation_input_tokens: null, |
| 60 | cache_read_input_tokens: null, |
| 61 | input_tokens: null, |
| 62 | output_tokens: 5 |
| 63 | } |
| 64 | }, |
| 65 | { type: "message_stop" } |
| 66 | ])) |
| 67 | ) |
| 68 | )) |
| 69 | ) |
| 70 | |
| 71 | const parts = yield* LanguageModel.streamText({ prompt: "Hello" }).pipe( |
| 72 | Stream.runCollect, |
| 73 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 74 | Effect.provide(layer) |
| 75 | ) |
| 76 | assert.isTrue( |
| 77 | globalThis.Array.from(parts).some((part) => part.type === "text-delta" && part.delta === "Hello") |
| 78 | ) |
| 79 | })) |
| 80 | } |
| 81 | |
| 82 | it.effect("decodes tool call params in content_block_stop", () => |
| 83 | Effect.gen(function*() { |
| 84 | const toolParams = { pattern: "*.ts" } |
| 85 | |
| 86 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 87 | Layer.provide(Layer.succeed( |
| 88 | HttpClient.HttpClient, |
| 89 | makeHttpClient((request) => |
| 90 | Effect.succeed(sseResponse(request, [ |
| 91 | { |
| 92 | type: "message_start", |
| 93 | message: { |
| 94 | id: "msg_test_1", |
| 95 | type: "message", |
| 96 | role: "assistant", |
| 97 | model: "claude-sonnet-4-20250514", |
| 98 | content: [], |
| 99 | stop_reason: null, |
| 100 | stop_sequence: null, |
| 101 | usage: { |
| 102 | cache_creation: null, |
| 103 | cache_creation_input_tokens: null, |
| 104 | cache_read_input_tokens: null, |
| 105 | inference_geo: null, |
| 106 | input_tokens: 10, |
| 107 | output_tokens: 0, |
| 108 | service_tier: null |
| 109 | } |
| 110 | } |
| 111 | }, |
| 112 | { |
| 113 | type: "content_block_start", |
| 114 | index: 0, |
| 115 | content_block: { |
| 116 | type: "tool_use", |
| 117 | id: "toolu_test_1", |
| 118 | name: "GlobTool", |
| 119 | input: {} |
| 120 | } |
| 121 | }, |
| 122 | { |
| 123 | type: "content_block_delta", |
| 124 | index: 0, |
| 125 | delta: { |
| 126 | type: "input_json_delta", |
| 127 | partial_json: JSON.stringify(toolParams) |
| 128 | } |
| 129 | }, |
| 130 | { |
| 131 | type: "content_block_stop", |
| 132 | index: 0 |
| 133 | }, |
| 134 | { |
| 135 | type: "message_delta", |
| 136 | delta: { |
| 137 | stop_reason: "tool_use", |
| 138 | stop_sequence: null |
| 139 | }, |
| 140 | usage: { |
| 141 | cache_creation_input_tokens: null, |
| 142 | cache_read_input_tokens: null, |
| 143 | input_tokens: null, |
| 144 | output_tokens: 5 |
| 145 | } |
| 146 | }, |
| 147 | { |
| 148 | type: "message_stop" |
| 149 | } |
| 150 | ])) |
| 151 | ) |
| 152 | )) |
| 153 | ) |
| 154 | |
| 155 | const GlobTool = Tool.make("GlobTool", { |
| 156 | description: "Search for files", |
| 157 | parameters: Schema.Struct({ pattern: Schema.String }), |
| 158 | success: Schema.String |
| 159 | }) |
| 160 | |
| 161 | const toolkit = Toolkit.make(GlobTool) |
| 162 | const toolkitLayer = toolkit.toLayer({ |
| 163 | GlobTool: () => Effect.succeed("found.ts") |
| 164 | }) |
| 165 | |
| 166 | const partsChunk = yield* LanguageModel.streamText({ |
| 167 | prompt: "find ts files", |
| 168 | toolkit, |
| 169 | disableToolCallResolution: true |
| 170 | }).pipe( |
| 171 | Stream.runCollect, |
| 172 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 173 | Effect.provide(toolkitLayer), |
| 174 | Effect.provide(layer) |
| 175 | ) |
| 176 | |
| 177 | const parts = globalThis.Array.from(partsChunk) |
| 178 | const toolCall = parts.find((part) => part.type === "tool-call") |
| 179 | assert.isDefined(toolCall) |
| 180 | if (toolCall?.type !== "tool-call") { |
| 181 | return |
| 182 | } |
| 183 | |
| 184 | assert.strictEqual(toolCall.name, "GlobTool") |
| 185 | assert.deepStrictEqual(toolCall.params, toolParams) |
| 186 | })) |
| 187 | |
| 188 | for (const blockType of ["tool_use", "server_tool_use"] as const) { |
| 189 | it.effect(`fails with AiError for malformed streamed ${blockType} JSON`, () => |
| 190 | Effect.gen(function*() { |
| 191 | const toolName = blockType === "tool_use" ? "GlobTool" : "web_search" |
| 192 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 193 | Layer.provide(Layer.succeed( |
| 194 | HttpClient.HttpClient, |
| 195 | makeHttpClient((request) => |
| 196 | Effect.succeed(sseResponse(request, [ |
| 197 | { |
| 198 | type: "message_start", |
| 199 | message: { |
| 200 | id: "msg_test_1", |
| 201 | type: "message", |
| 202 | role: "assistant", |
| 203 | model: "claude-sonnet-4-20250514", |
| 204 | content: [], |
| 205 | stop_reason: null, |
| 206 | stop_sequence: null, |
| 207 | usage: { |
| 208 | cache_creation: null, |
| 209 | cache_creation_input_tokens: null, |
| 210 | cache_read_input_tokens: null, |
| 211 | inference_geo: null, |
| 212 | input_tokens: 10, |
| 213 | output_tokens: 0, |
| 214 | service_tier: null |
| 215 | } |
| 216 | } |
| 217 | }, |
| 218 | { |
| 219 | type: "content_block_start", |
| 220 | index: 0, |
| 221 | content_block: { |
| 222 | type: blockType, |
| 223 | id: blockType === "tool_use" ? "toolu_test_1" : "srvtoolu_test_1", |
| 224 | name: toolName, |
| 225 | input: {} |
| 226 | } |
| 227 | }, |
| 228 | { |
| 229 | type: "content_block_delta", |
| 230 | index: 0, |
| 231 | delta: { type: "input_json_delta", partial_json: "{\"pattern\":" } |
| 232 | }, |
| 233 | { |
| 234 | type: "content_block_delta", |
| 235 | index: 0, |
| 236 | delta: { type: "input_json_delta", partial_json: "\"*.ts" } |
| 237 | }, |
| 238 | { type: "content_block_stop", index: 0 }, |
| 239 | { |
| 240 | type: "message_delta", |
| 241 | delta: { stop_reason: "max_tokens", stop_sequence: null }, |
| 242 | usage: { |
| 243 | cache_creation_input_tokens: null, |
| 244 | cache_read_input_tokens: null, |
| 245 | input_tokens: null, |
| 246 | output_tokens: 5 |
| 247 | } |
| 248 | }, |
| 249 | { type: "message_stop" } |
| 250 | ])) |
| 251 | ) |
| 252 | )) |
| 253 | ) |
| 254 | const toolkit = Toolkit.make( |
| 255 | Tool.make("GlobTool", { parameters: Schema.Struct({ pattern: Schema.String }) }), |
| 256 | AnthropicTool.WebSearch_20250305({}) |
| 257 | ) |
| 258 | const exit = yield* LanguageModel.streamText({ |
| 259 | prompt: "find ts files", |
| 260 | toolkit, |
| 261 | disableToolCallResolution: true |
| 262 | }).pipe( |
| 263 | Stream.runCollect, |
| 264 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 265 | Effect.provide(layer), |
| 266 | Effect.exit |
| 267 | ) |
| 268 | |
| 269 | assert.isTrue(Exit.isFailure(exit)) |
| 270 | if (!Exit.isFailure(exit)) { |
| 271 | return yield* Effect.die(new Error("Expected malformed tool JSON to fail")) |
| 272 | } |
| 273 | assert.isFalse(Cause.hasDies(exit.cause)) |
| 274 | const error = Option.getOrThrow(Cause.findErrorOption(exit.cause)) |
| 275 | assert.strictEqual(error._tag, "AiError") |
| 276 | assert.strictEqual(error.reason._tag, "ToolParameterValidationError") |
| 277 | })) |
| 278 | } |
| 279 | |
| 280 | it.effect("routes invalid tool call params through failureMode: return without failing the stream", () => |
| 281 | Effect.gen(function*() { |
| 282 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 283 | Layer.provide(Layer.succeed( |
| 284 | HttpClient.HttpClient, |
| 285 | makeHttpClient((request) => |
| 286 | Effect.succeed(sseResponse(request, [ |
| 287 | { |
| 288 | type: "message_start", |
| 289 | message: { |
| 290 | id: "msg_test_1", |
| 291 | type: "message", |
| 292 | role: "assistant", |
| 293 | model: "claude-sonnet-4-20250514", |
| 294 | content: [], |
| 295 | stop_reason: null, |
| 296 | stop_sequence: null, |
| 297 | usage: { |
| 298 | cache_creation: null, |
| 299 | cache_creation_input_tokens: null, |
| 300 | cache_read_input_tokens: null, |
| 301 | inference_geo: null, |
| 302 | input_tokens: 10, |
| 303 | output_tokens: 0, |
| 304 | service_tier: null |
| 305 | } |
| 306 | } |
| 307 | }, |
| 308 | { |
| 309 | type: "content_block_start", |
| 310 | index: 0, |
| 311 | content_block: { |
| 312 | type: "tool_use", |
| 313 | id: "toolu_test_1", |
| 314 | name: "GlobTool", |
| 315 | input: {} |
| 316 | } |
| 317 | }, |
| 318 | { |
| 319 | type: "content_block_delta", |
| 320 | index: 0, |
| 321 | delta: { |
| 322 | type: "input_json_delta", |
| 323 | partial_json: JSON.stringify({ pattern: 123 }) |
| 324 | } |
| 325 | }, |
| 326 | { |
| 327 | type: "content_block_stop", |
| 328 | index: 0 |
| 329 | }, |
| 330 | { |
| 331 | type: "message_delta", |
| 332 | delta: { |
| 333 | stop_reason: "tool_use", |
| 334 | stop_sequence: null |
| 335 | }, |
| 336 | usage: { |
| 337 | cache_creation_input_tokens: null, |
| 338 | cache_read_input_tokens: null, |
| 339 | input_tokens: null, |
| 340 | output_tokens: 5 |
| 341 | } |
| 342 | }, |
| 343 | { |
| 344 | type: "message_stop" |
| 345 | } |
| 346 | ])) |
| 347 | ) |
| 348 | )) |
| 349 | ) |
| 350 | |
| 351 | const GlobTool = Tool.make("GlobTool", { |
| 352 | description: "Search for files", |
| 353 | failureMode: "return", |
| 354 | parameters: Schema.Struct({ pattern: Schema.String }), |
| 355 | success: Schema.String, |
| 356 | failure: Schema.String |
| 357 | }) |
| 358 | |
| 359 | const toolkit = Toolkit.make(GlobTool) |
| 360 | const toolkitLayer = toolkit.toLayer({ |
| 361 | GlobTool: () => Effect.succeed("found.ts") |
| 362 | }) |
| 363 | |
| 364 | const partsChunk = yield* LanguageModel.streamText({ |
| 365 | prompt: "find ts files", |
| 366 | toolkit |
| 367 | }).pipe( |
| 368 | Stream.runCollect, |
| 369 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 370 | Effect.provide(toolkitLayer), |
| 371 | Effect.provide(layer) |
| 372 | ) |
| 373 | |
| 374 | const parts = globalThis.Array.from(partsChunk) |
| 375 | const toolResult = parts.find((part) => part.type === "tool-result") |
| 376 | assert.isDefined(toolResult) |
| 377 | if (toolResult?.type !== "tool-result") { |
| 378 | return |
| 379 | } |
| 380 | |
| 381 | assert.strictEqual(toolResult.isFailure, true) |
| 382 | const failure = toolResult.result as AiError.AiError |
| 383 | assert.strictEqual(failure._tag, "AiError") |
| 384 | assert.strictEqual(failure.reason._tag, "ToolParameterValidationError") |
| 385 | })) |
| 386 | |
| 387 | const codeExecutionCases = [ |
| 388 | { |
| 389 | providerName: "bash_code_execution", |
| 390 | toolParams: { command: "pwd" }, |
| 391 | expectedParams: { type: "bash_code_execution", command: "pwd" } |
| 392 | }, |
| 393 | { |
| 394 | providerName: "text_editor_code_execution", |
| 395 | toolParams: { command: "view", path: "/tmp/example.txt" }, |
| 396 | expectedParams: { |
| 397 | type: "text_editor_code_execution", |
| 398 | command: "view", |
| 399 | path: "/tmp/example.txt" |
| 400 | } |
| 401 | } |
| 402 | ] as const |
| 403 | |
| 404 | for (const { expectedParams, providerName, toolParams } of codeExecutionCases) { |
| 405 | it.effect(`emits valid JSON for streamed ${providerName} parameters`, () => |
| 406 | Effect.gen(function*() { |
| 407 | const toolkit = Toolkit.make(AnthropicTool.CodeExecution_20250522()) |
| 408 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 409 | Layer.provide(Layer.succeed( |
| 410 | HttpClient.HttpClient, |
| 411 | makeHttpClient((request) => |
| 412 | Effect.succeed(sseResponse(request, [ |
| 413 | { |
| 414 | type: "message_start", |
| 415 | message: { |
| 416 | id: "msg_test_1", |
| 417 | type: "message", |
| 418 | role: "assistant", |
| 419 | model: "claude-sonnet-4-20250514", |
| 420 | content: [], |
| 421 | stop_reason: null, |
| 422 | stop_sequence: null, |
| 423 | usage: { |
| 424 | cache_creation: null, |
| 425 | cache_creation_input_tokens: null, |
| 426 | cache_read_input_tokens: null, |
| 427 | inference_geo: null, |
| 428 | input_tokens: 1, |
| 429 | output_tokens: 0, |
| 430 | service_tier: null |
| 431 | } |
| 432 | } |
| 433 | }, |
| 434 | { |
| 435 | type: "content_block_start", |
| 436 | index: 0, |
| 437 | content_block: { |
| 438 | type: "server_tool_use", |
| 439 | id: "srvtoolu_test_1", |
| 440 | name: providerName, |
| 441 | input: {} |
| 442 | } |
| 443 | }, |
| 444 | { |
| 445 | type: "content_block_delta", |
| 446 | index: 0, |
| 447 | delta: { |
| 448 | type: "input_json_delta", |
| 449 | partial_json: JSON.stringify(toolParams) |
| 450 | } |
| 451 | }, |
| 452 | { |
| 453 | type: "content_block_stop", |
| 454 | index: 0 |
| 455 | }, |
| 456 | { |
| 457 | type: "message_delta", |
| 458 | delta: { |
| 459 | stop_reason: "tool_use", |
| 460 | stop_sequence: null |
| 461 | }, |
| 462 | usage: { |
| 463 | cache_creation_input_tokens: null, |
| 464 | cache_read_input_tokens: null, |
| 465 | input_tokens: null, |
| 466 | output_tokens: 1 |
| 467 | } |
| 468 | }, |
| 469 | { |
| 470 | type: "message_stop" |
| 471 | } |
| 472 | ])) |
| 473 | ) |
| 474 | )) |
| 475 | ) |
| 476 | |
| 477 | const partsChunk = yield* LanguageModel.streamText({ |
| 478 | prompt: "run pwd", |
| 479 | toolkit, |
| 480 | disableToolCallResolution: true |
| 481 | }).pipe( |
| 482 | Stream.runCollect, |
| 483 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 484 | Effect.provide(layer) |
| 485 | ) |
| 486 | |
| 487 | const parts = globalThis.Array.from(partsChunk) |
| 488 | |
| 489 | const delta = parts.find((part) => part.type === "tool-params-delta") |
| 490 | assert.isDefined(delta) |
| 491 | if (delta?.type === "tool-params-delta") { |
| 492 | assert.deepStrictEqual(JSON.parse(delta.delta), expectedParams) |
| 493 | } |
| 494 | |
| 495 | const toolCall = parts.find((part) => part.type === "tool-call") |
| 496 | assert.isDefined(toolCall) |
| 497 | if (toolCall?.type === "tool-call") { |
| 498 | assert.deepStrictEqual(toolCall.params, expectedParams) |
| 499 | } |
| 500 | })) |
| 501 | } |
| 502 | |
| 503 | // `Model` is an open enum in Anthropic's spec (`anyOf: [{ type: string }, ...consts]`), and it is |
| 504 | // $ref'd by response schemas. Responses must therefore decode for model ids that are newer than the |
| 505 | // generated literals, and the id must survive decoding unchanged. |
| 506 | it.effect("decodes responses for a model id that is not a known literal", () => |
| 507 | Effect.gen(function*() { |
| 508 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 509 | Layer.provide(Layer.succeed( |
| 510 | HttpClient.HttpClient, |
| 511 | makeHttpClient((request) => |
| 512 | Effect.succeed(sseResponse(request, [ |
| 513 | { |
| 514 | type: "message_start", |
| 515 | message: { |
| 516 | id: "msg_test_1", |
| 517 | type: "message", |
| 518 | role: "assistant", |
| 519 | model: "claude-not-a-known-model-id", |
| 520 | content: [], |
| 521 | stop_reason: null, |
| 522 | stop_sequence: null, |
| 523 | usage: { |
| 524 | cache_creation: null, |
| 525 | cache_creation_input_tokens: null, |
| 526 | cache_read_input_tokens: null, |
| 527 | inference_geo: null, |
| 528 | input_tokens: 10, |
| 529 | output_tokens: 0, |
| 530 | service_tier: null |
| 531 | } |
| 532 | } |
| 533 | }, |
| 534 | { |
| 535 | type: "content_block_start", |
| 536 | index: 0, |
| 537 | content_block: { type: "text", text: "" } |
| 538 | }, |
| 539 | { |
| 540 | type: "content_block_delta", |
| 541 | index: 0, |
| 542 | delta: { type: "text_delta", text: "Hello" } |
| 543 | }, |
| 544 | { |
| 545 | type: "content_block_stop", |
| 546 | index: 0 |
| 547 | }, |
| 548 | { |
| 549 | type: "message_delta", |
| 550 | delta: { |
| 551 | stop_reason: "end_turn", |
| 552 | stop_sequence: null |
| 553 | }, |
| 554 | usage: { |
| 555 | cache_creation_input_tokens: null, |
| 556 | cache_read_input_tokens: null, |
| 557 | input_tokens: null, |
| 558 | output_tokens: 5 |
| 559 | } |
| 560 | }, |
| 561 | { |
| 562 | type: "message_stop" |
| 563 | } |
| 564 | ])) |
| 565 | ) |
| 566 | )) |
| 567 | ) |
| 568 | |
| 569 | const partsChunk = yield* LanguageModel.streamText({ |
| 570 | prompt: "say hello" |
| 571 | }).pipe( |
| 572 | Stream.runCollect, |
| 573 | Effect.provide(AnthropicLanguageModel.model("claude-not-a-known-model-id")), |
| 574 | Effect.provide(layer) |
| 575 | ) |
| 576 | |
| 577 | const parts = globalThis.Array.from(partsChunk) |
| 578 | const metadata = parts.find((part) => part.type === "response-metadata") |
| 579 | assert.isDefined(metadata) |
| 580 | if (metadata?.type !== "response-metadata") { |
| 581 | return |
| 582 | } |
| 583 | |
| 584 | assert.strictEqual(metadata.modelId, "claude-not-a-known-model-id") |
| 585 | |
| 586 | const text = parts.find((part) => part.type === "text-delta") |
| 587 | assert.isDefined(text) |
| 588 | if (text?.type !== "text-delta") { |
| 589 | return |
| 590 | } |
| 591 | |
| 592 | assert.strictEqual(text.delta, "Hello") |
| 593 | })) |
| 594 | }) |
| 595 | |
| 596 | describe("generateText", () => { |
| 597 | for ( |
| 598 | const [label, geo] of [ |
| 599 | ["missing", {}], |
| 600 | ["null", { inference_geo: null }], |
| 601 | ["string", { inference_geo: "us" }] |
| 602 | ] as const |
| 603 | ) { |
| 604 | it.effect(`accepts ${label} usage.inference_geo in a message response`, () => |
| 605 | Effect.gen(function*() { |
| 606 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 607 | Layer.provide(Layer.succeed( |
| 608 | HttpClient.HttpClient, |
| 609 | makeHttpClient((request) => |
| 610 | Effect.succeed(jsonResponse(request, { |
| 611 | id: "msg_test_1", |
| 612 | type: "message", |
| 613 | role: "assistant", |
| 614 | model: "claude-sonnet-4-20250514", |
| 615 | content: [{ type: "text", text: "Hello" }], |
| 616 | stop_reason: "end_turn", |
| 617 | stop_sequence: null, |
| 618 | usage: { |
| 619 | cache_creation: null, |
| 620 | cache_creation_input_tokens: null, |
| 621 | cache_read_input_tokens: null, |
| 622 | ...geo, |
| 623 | input_tokens: 10, |
| 624 | output_tokens: 5, |
| 625 | service_tier: null |
| 626 | } |
| 627 | })) |
| 628 | ) |
| 629 | )) |
| 630 | ) |
| 631 | |
| 632 | const response = yield* LanguageModel.generateText({ prompt: "Hello" }).pipe( |
| 633 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 634 | Effect.provide(layer) |
| 635 | ) |
| 636 | assert.isTrue(response.content.some((part) => part.type === "text" && part.text === "Hello")) |
| 637 | })) |
| 638 | } |
| 639 | |
| 640 | it.effect("omits strictJsonSchema from the request while preserving tool strictness", () => |
| 641 | Effect.gen(function*() { |
| 642 | let capturedRequest: HttpClientRequest.HttpClientRequest | undefined = undefined |
| 643 | const model = "claude-sonnet-4-5" |
| 644 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 645 | Layer.provide(Layer.succeed( |
| 646 | HttpClient.HttpClient, |
| 647 | makeHttpClient((request) => { |
| 648 | capturedRequest = request |
| 649 | return Effect.succeed(jsonResponse(request, { |
| 650 | id: "msg_test_1", |
| 651 | type: "message", |
| 652 | role: "assistant", |
| 653 | model, |
| 654 | content: [{ type: "text", text: "Hello" }], |
| 655 | stop_reason: "end_turn", |
| 656 | stop_sequence: null, |
| 657 | usage: { |
| 658 | cache_creation: null, |
| 659 | cache_creation_input_tokens: null, |
| 660 | cache_read_input_tokens: null, |
| 661 | inference_geo: null, |
| 662 | input_tokens: 1, |
| 663 | output_tokens: 1, |
| 664 | service_tier: null |
| 665 | } |
| 666 | })) |
| 667 | }) |
| 668 | )) |
| 669 | ) |
| 670 | |
| 671 | yield* LanguageModel.generateText({ |
| 672 | prompt: "Hello", |
| 673 | toolkit: Toolkit.make(Tool.make("Search", { |
| 674 | parameters: Schema.Struct({ query: Schema.String }), |
| 675 | success: Schema.String |
| 676 | })), |
| 677 | disableToolCallResolution: true |
| 678 | }).pipe( |
| 679 | Effect.provide(AnthropicLanguageModel.model(model, { strictJsonSchema: false })), |
| 680 | Effect.provide(layer) |
| 681 | ) |
| 682 | |
| 683 | assert.isDefined(capturedRequest) |
| 684 | const body = yield* getRequestBody(capturedRequest) |
| 685 | assert.strictEqual(body.model, model) |
| 686 | assert.strictEqual(body.tools[0].name, "Search") |
| 687 | assert.strictEqual(body.tools[0].strict, false) |
| 688 | assert.notProperty(body, "strictJsonSchema") |
| 689 | })) |
| 690 | |
| 691 | it.effect("preserves string tool results", () => |
| 692 | Effect.gen(function*() { |
| 693 | let capturedRequest: HttpClientRequest.HttpClientRequest | undefined = undefined |
| 694 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 695 | Layer.provide(Layer.succeed( |
| 696 | HttpClient.HttpClient, |
| 697 | makeHttpClient((request) => { |
| 698 | capturedRequest = request |
| 699 | return Effect.succeed(jsonResponse(request, { |
| 700 | id: "msg_test_1", |
| 701 | type: "message", |
| 702 | role: "assistant", |
| 703 | model: "claude-sonnet-4-20250514", |
| 704 | content: [{ type: "text", text: "Done" }], |
| 705 | stop_reason: "end_turn", |
| 706 | stop_sequence: null, |
| 707 | usage: { |
| 708 | cache_creation: null, |
| 709 | cache_creation_input_tokens: null, |
| 710 | cache_read_input_tokens: null, |
| 711 | inference_geo: null, |
| 712 | input_tokens: 10, |
| 713 | output_tokens: 5, |
| 714 | service_tier: null |
| 715 | } |
| 716 | })) |
| 717 | }) |
| 718 | )) |
| 719 | ) |
| 720 | |
| 721 | yield* LanguageModel.generateText({ |
| 722 | prompt: Prompt.make([ |
| 723 | { role: "user", content: "Use the tool" }, |
| 724 | { |
| 725 | role: "assistant", |
| 726 | content: [Prompt.toolCallPart({ |
| 727 | id: "call_text", |
| 728 | name: "text_tool", |
| 729 | params: {}, |
| 730 | providerExecuted: false |
| 731 | })] |
| 732 | }, |
| 733 | { |
| 734 | role: "tool", |
| 735 | content: [Prompt.toolResultPart({ |
| 736 | id: "call_text", |
| 737 | name: "text_tool", |
| 738 | result: "PLAIN_TEXT_SENTINEL\n", |
| 739 | isFailure: false, |
| 740 | providerExecuted: false |
| 741 | })] |
| 742 | } |
| 743 | ]), |
| 744 | disableToolCallResolution: true |
| 745 | }).pipe( |
| 746 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 747 | Effect.provide(layer) |
| 748 | ) |
| 749 | |
| 750 | assert.isDefined(capturedRequest) |
| 751 | if (capturedRequest === undefined) { |
| 752 | return |
| 753 | } |
| 754 | |
| 755 | const body = yield* getRequestBody(capturedRequest) |
| 756 | const toolResult = body.messages |
| 757 | .flatMap((message: any) => Array.isArray(message.content) ? message.content : []) |
| 758 | .find((block: any) => block.type === "tool_result") |
| 759 | |
| 760 | assert.isDefined(toolResult) |
| 761 | assert.strictEqual(toolResult.content, "PLAIN_TEXT_SENTINEL\n") |
| 762 | })) |
| 763 | |
| 764 | it.effect("preserves base64 image string payloads", () => |
| 765 | Effect.gen(function*() { |
| 766 | const base64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAC0lEQVR4nGP4DwQACfsD/fteaysAAAAASUVORK5CYII=" |
| 767 | let capturedRequest: HttpClientRequest.HttpClientRequest | undefined = undefined |
| 768 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 769 | Layer.provide(Layer.succeed( |
| 770 | HttpClient.HttpClient, |
| 771 | makeHttpClient((request) => { |
| 772 | capturedRequest = request |
| 773 | return Effect.succeed(jsonResponse(request, { |
| 774 | id: "msg_test_1", |
| 775 | type: "message", |
| 776 | role: "assistant", |
| 777 | model: "claude-sonnet-4-20250514", |
| 778 | content: [{ type: "text", text: "Done" }], |
| 779 | stop_reason: "end_turn", |
| 780 | stop_sequence: null, |
| 781 | usage: { |
| 782 | cache_creation: null, |
| 783 | cache_creation_input_tokens: null, |
| 784 | cache_read_input_tokens: null, |
| 785 | inference_geo: null, |
| 786 | input_tokens: 1, |
| 787 | output_tokens: 1, |
| 788 | service_tier: null |
| 789 | } |
| 790 | })) |
| 791 | }) |
| 792 | )) |
| 793 | ) |
| 794 | |
| 795 | yield* LanguageModel.generateText({ |
| 796 | prompt: Prompt.make([Prompt.userMessage({ |
| 797 | content: [Prompt.filePart({ mediaType: "image/png", data: base64 })] |
| 798 | })]) |
| 799 | }).pipe( |
| 800 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 801 | Effect.provide(layer) |
| 802 | ) |
| 803 | |
| 804 | assert.isDefined(capturedRequest) |
| 805 | const body = yield* getRequestBody(capturedRequest) |
| 806 | assert.strictEqual(body.messages[0].content[0].source.data, base64) |
| 807 | })) |
| 808 | |
| 809 | it.effect("encodes dynamic tools", () => |
| 810 | Effect.gen(function*() { |
| 811 | let capturedRequest: HttpClientRequest.HttpClientRequest | undefined = undefined |
| 812 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 813 | Layer.provide(Layer.succeed( |
| 814 | HttpClient.HttpClient, |
| 815 | makeHttpClient((request) => { |
| 816 | capturedRequest = request |
| 817 | return Effect.succeed(jsonResponse(request, { |
| 818 | id: "msg_test_1", |
| 819 | type: "message", |
| 820 | role: "assistant", |
| 821 | model: "claude-sonnet-4-20250514", |
| 822 | content: [{ type: "text", text: "Done" }], |
| 823 | stop_reason: "end_turn", |
| 824 | stop_sequence: null, |
| 825 | usage: { |
| 826 | cache_creation: null, |
| 827 | cache_creation_input_tokens: null, |
| 828 | cache_read_input_tokens: null, |
| 829 | inference_geo: null, |
| 830 | input_tokens: 10, |
| 831 | output_tokens: 5, |
| 832 | service_tier: null |
| 833 | } |
| 834 | })) |
| 835 | }) |
| 836 | )) |
| 837 | ) |
| 838 | |
| 839 | const inputSchema = { |
| 840 | type: "object", |
| 841 | properties: { |
| 842 | query: { type: "string" }, |
| 843 | limit: { type: "number" } |
| 844 | }, |
| 845 | required: ["query"], |
| 846 | additionalProperties: false |
| 847 | } as const |
| 848 | |
| 849 | const DynamicTool = Tool.dynamic("DynamicTool", { |
| 850 | description: "A dynamic tool", |
| 851 | parameters: inputSchema |
| 852 | }) |
| 853 | |
| 854 | yield* LanguageModel.generateText({ |
| 855 | prompt: "Use the dynamic tool", |
| 856 | toolkit: Toolkit.make(DynamicTool), |
| 857 | disableToolCallResolution: true |
| 858 | }).pipe( |
| 859 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 860 | Effect.provide(layer) |
| 861 | ) |
| 862 | |
| 863 | assert.isDefined(capturedRequest) |
| 864 | if (capturedRequest === undefined) { |
| 865 | return |
| 866 | } |
| 867 | |
| 868 | const body = yield* getRequestBody(capturedRequest) |
| 869 | const dynamicTool = body.tools.find((tool: any) => tool.name === "DynamicTool") |
| 870 | |
| 871 | assert.isDefined(dynamicTool) |
| 872 | if (dynamicTool === undefined) { |
| 873 | return |
| 874 | } |
| 875 | |
| 876 | assert.strictEqual(dynamicTool.description, "A dynamic tool") |
| 877 | assert.deepStrictEqual(dynamicTool.input_schema, inputSchema) |
| 878 | })) |
| 879 | |
| 880 | it.effect("serializes provider-executed web_search parts from the assistant message", () => |
| 881 | Effect.gen(function*() { |
| 882 | let capturedRequest: HttpClientRequest.HttpClientRequest | undefined = undefined |
| 883 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 884 | Layer.provide(Layer.succeed( |
| 885 | HttpClient.HttpClient, |
| 886 | makeHttpClient((request) => { |
| 887 | capturedRequest = request |
| 888 | return Effect.succeed(jsonResponse(request, { |
| 889 | id: "msg_test_2", |
| 890 | type: "message", |
| 891 | role: "assistant", |
| 892 | model: "claude-sonnet-4-20250514", |
| 893 | content: [{ type: "text", text: "You're welcome" }], |
| 894 | stop_reason: "end_turn", |
| 895 | stop_sequence: null, |
| 896 | usage: { |
| 897 | cache_creation: null, |
| 898 | cache_creation_input_tokens: null, |
| 899 | cache_read_input_tokens: null, |
| 900 | inference_geo: null, |
| 901 | input_tokens: 10, |
| 902 | output_tokens: 5, |
| 903 | service_tier: null |
| 904 | } |
| 905 | })) |
| 906 | }) |
| 907 | )) |
| 908 | ) |
| 909 | |
| 910 | const searchResults = [{ |
| 911 | type: "web_search_result", |
| 912 | url: "https://example.com/gold", |
| 913 | title: "Gold price", |
| 914 | encrypted_content: "encrypted", |
| 915 | page_age: null |
| 916 | }] |
| 917 | |
| 918 | const history = Prompt.fromResponseParts([ |
| 919 | AiResponse.makePart("tool-call", { |
| 920 | id: "srvtoolu_1", |
| 921 | name: "AnthropicWebSearch", |
| 922 | params: { query: "gold price today" }, |
| 923 | providerExecuted: true |
| 924 | }), |
| 925 | AiResponse.makePart("tool-result", { |
| 926 | id: "srvtoolu_1", |
| 927 | name: "AnthropicWebSearch", |
| 928 | isFailure: false, |
| 929 | result: searchResults, |
| 930 | encodedResult: searchResults, |
| 931 | preliminary: false, |
| 932 | providerExecuted: true |
| 933 | }), |
| 934 | AiResponse.makePart("text", { text: "Gold is around $4,000." }) |
| 935 | ]) |
| 936 | |
| 937 | const prompt = Prompt.concat( |
| 938 | Prompt.concat(Prompt.make("what is the gold price?"), history), |
| 939 | Prompt.make("thanks") |
| 940 | ) |
| 941 | |
| 942 | yield* LanguageModel.generateText({ |
| 943 | prompt, |
| 944 | toolkit: Toolkit.make(AnthropicTool.WebSearch_20250305({})), |
| 945 | disableToolCallResolution: true |
| 946 | }).pipe( |
| 947 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 948 | Effect.provide(layer) |
| 949 | ) |
| 950 | |
| 951 | assert.isDefined(capturedRequest) |
| 952 | if (capturedRequest === undefined) { |
| 953 | return |
| 954 | } |
| 955 | |
| 956 | const body = yield* getRequestBody(capturedRequest) |
| 957 | const assistantMessage = body.messages.find((message: any) => message.role === "assistant") |
| 958 | assert.isDefined(assistantMessage) |
| 959 | |
| 960 | const serverToolUse = assistantMessage.content.find((block: any) => block.type === "server_tool_use") |
| 961 | assert.isDefined(serverToolUse) |
| 962 | assert.strictEqual(serverToolUse.id, "srvtoolu_1") |
| 963 | assert.strictEqual(serverToolUse.name, "web_search") |
| 964 | |
| 965 | const searchResult = assistantMessage.content.find((block: any) => block.type === "web_search_tool_result") |
| 966 | assert.isDefined(searchResult) |
| 967 | assert.strictEqual(searchResult.tool_use_id, "srvtoolu_1") |
| 968 | |
| 969 | const clientToolResults = body.messages.flatMap((message: any) => |
| 970 | Array.isArray(message.content) |
| 971 | ? message.content.filter((block: any) => block.type === "tool_result") |
| 972 | : [] |
| 973 | ) |
| 974 | assert.strictEqual(clientToolResults.length, 0) |
| 975 | })) |
| 976 | |
| 977 | it.effect("encodes plaintext bytes as UTF-8 text", () => |
| 978 | Effect.gen(function*() { |
| 979 | let body: any |
| 980 | const client = AnthropicClient.layer({ apiKey: Redacted.make("test") }).pipe( |
| 981 | Layer.provide(Layer.succeed( |
| 982 | HttpClient.HttpClient, |
| 983 | HttpClient.makeWith( |
| 984 | Effect.fnUntraced(function*(requestEffect) { |
| 985 | const request = yield* requestEffect |
| 986 | body = JSON.parse(new TextDecoder().decode((request.body as any).body)) |
| 987 | return HttpClientResponse.fromWeb( |
| 988 | request, |
| 989 | new Response( |
| 990 | JSON.stringify({ |
| 991 | id: "msg_1", |
| 992 | type: "message", |
| 993 | role: "assistant", |
| 994 | model: "claude-sonnet-4-20250514", |
| 995 | content: [{ type: "text", text: "ok" }], |
| 996 | stop_reason: "end_turn", |
| 997 | stop_sequence: null, |
| 998 | usage: { |
| 999 | cache_creation: null, |
| 1000 | cache_creation_input_tokens: null, |
| 1001 | cache_read_input_tokens: null, |
| 1002 | inference_geo: null, |
| 1003 | input_tokens: 1, |
| 1004 | output_tokens: 1, |
| 1005 | service_tier: null |
| 1006 | } |
| 1007 | }), |
| 1008 | { status: 200 } |
| 1009 | ) |
| 1010 | ) |
| 1011 | }), |
| 1012 | Effect.succeed as HttpClient.HttpClient.Preprocess<HttpClientError.HttpClientError, never> |
| 1013 | ) |
| 1014 | )) |
| 1015 | ) |
| 1016 | |
| 1017 | yield* LanguageModel.generateText({ |
| 1018 | prompt: Prompt.make([{ |
| 1019 | role: "user", |
| 1020 | content: [Prompt.filePart({ mediaType: "text/plain", data: new TextEncoder().encode("hello") })] |
| 1021 | }]) |
| 1022 | }).pipe( |
| 1023 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 1024 | Effect.provide(client) |
| 1025 | ) |
| 1026 | |
| 1027 | assert.strictEqual(body.messages[0].content[0].source.data, "hello") |
| 1028 | })) |
| 1029 | }) |
| 1030 | |
| 1031 | describe("generateObject", () => { |
| 1032 | const getRequest = ( |
| 1033 | model: string, |
| 1034 | config?: { readonly structuredOutputs?: boolean | undefined } |
| 1035 | ) => |
| 1036 | Effect.gen(function*() { |
| 1037 | let capturedRequest: HttpClientRequest.HttpClientRequest | undefined = undefined |
| 1038 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 1039 | Layer.provide(Layer.succeed( |
| 1040 | HttpClient.HttpClient, |
| 1041 | makeHttpClient((request) => { |
| 1042 | capturedRequest = request |
| 1043 | return Effect.succeed(jsonResponse(request, { |
| 1044 | id: "msg_test_1", |
| 1045 | type: "message", |
| 1046 | role: "assistant", |
| 1047 | model, |
| 1048 | content: [{ type: "text", text: JSON.stringify({ name: "John", age: 30 }) }], |
| 1049 | stop_reason: "end_turn", |
| 1050 | stop_sequence: null, |
| 1051 | usage: { |
| 1052 | cache_creation: null, |
| 1053 | cache_creation_input_tokens: null, |
| 1054 | cache_read_input_tokens: null, |
| 1055 | inference_geo: null, |
| 1056 | input_tokens: 10, |
| 1057 | output_tokens: 5, |
| 1058 | service_tier: null |
| 1059 | } |
| 1060 | })) |
| 1061 | }) |
| 1062 | )) |
| 1063 | ) |
| 1064 | |
| 1065 | // Assert the request shape; the response outcome is irrelevant here. |
| 1066 | yield* LanguageModel.generateObject({ |
| 1067 | prompt: "Give me a person", |
| 1068 | schema: Schema.Struct({ name: Schema.String, age: Schema.Number }) |
| 1069 | }).pipe( |
| 1070 | Effect.provide(AnthropicLanguageModel.model(model, config)), |
| 1071 | Effect.provide(layer), |
| 1072 | Effect.ignore |
| 1073 | ) |
| 1074 | |
| 1075 | assert.isDefined(capturedRequest) |
| 1076 | if (capturedRequest === undefined) { |
| 1077 | return yield* Effect.die(new Error("Expected a captured request")) |
| 1078 | } |
| 1079 | |
| 1080 | return yield* getRequestBody(capturedRequest) |
| 1081 | }) |
| 1082 | |
| 1083 | it.effect("uses native structured output and 128K for Claude 4.6", () => |
| 1084 | Effect.gen(function*() { |
| 1085 | const body = yield* getRequest("claude-opus-4-6") |
| 1086 | |
| 1087 | assert.strictEqual(body.max_tokens, 128000) |
| 1088 | assert.strictEqual(body.output_config?.format?.type, "json_schema") |
| 1089 | })) |
| 1090 | |
| 1091 | it.effect("uses optimistic modern defaults for an unknown future model", () => |
| 1092 | Effect.gen(function*() { |
| 1093 | const body = yield* getRequest("claude-sonnet-6-0") |
| 1094 | |
| 1095 | assert.strictEqual(body.max_tokens, 128000) |
| 1096 | assert.strictEqual(body.output_config?.format?.type, "json_schema") |
| 1097 | })) |
| 1098 | |
| 1099 | it.effect("preserves frozen legacy model exceptions", () => |
| 1100 | Effect.gen(function*() { |
| 1101 | const body = yield* getRequest("claude-sonnet-4-20250514") |
| 1102 | |
| 1103 | assert.strictEqual(body.max_tokens, 64000) |
| 1104 | assert.isUndefined(body.output_config) |
| 1105 | })) |
| 1106 | |
| 1107 | it.effect("can disable structured outputs for a modern model", () => |
| 1108 | Effect.gen(function*() { |
| 1109 | const body = yield* getRequest("claude-sonnet-6-0", { structuredOutputs: false }) |
| 1110 | |
| 1111 | assert.strictEqual(body.max_tokens, 128000) |
| 1112 | assert.isUndefined(body.output_config) |
| 1113 | assert.notProperty(body, "structuredOutputs") |
| 1114 | })) |
| 1115 | |
| 1116 | it.effect("can enable structured outputs for a legacy model", () => |
| 1117 | Effect.gen(function*() { |
| 1118 | const body = yield* getRequest("claude-sonnet-4-20250514", { structuredOutputs: true }) |
| 1119 | |
| 1120 | assert.strictEqual(body.max_tokens, 64000) |
| 1121 | assert.strictEqual(body.output_config?.format?.type, "json_schema") |
| 1122 | assert.notProperty(body, "structuredOutputs") |
| 1123 | })) |
| 1124 | |
| 1125 | const summaryResponse = (request: HttpClientRequest.HttpClientRequest, content: ReadonlyArray<unknown>) => |
| 1126 | jsonResponse(request, { |
| 1127 | id: "msg_summary", |
| 1128 | type: "message", |
| 1129 | role: "assistant", |
| 1130 | model: "claude-sonnet-4-6", |
| 1131 | content, |
| 1132 | stop_reason: "tool_use", |
| 1133 | stop_sequence: null, |
| 1134 | usage: { |
| 1135 | cache_creation: null, |
| 1136 | cache_creation_input_tokens: null, |
| 1137 | cache_read_input_tokens: null, |
| 1138 | inference_geo: null, |
| 1139 | input_tokens: 1, |
| 1140 | output_tokens: 1, |
| 1141 | service_tier: null |
| 1142 | } |
| 1143 | }) |
| 1144 | |
| 1145 | it.effect("forces the fallback response tool and decodes its input alongside prose", () => |
| 1146 | Effect.gen(function*() { |
| 1147 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 1148 | Layer.provide(Layer.succeed( |
| 1149 | HttpClient.HttpClient, |
| 1150 | makeHttpClient((request) => |
| 1151 | Effect.gen(function*() { |
| 1152 | const body = yield* getRequestBody(request) |
| 1153 | assert.deepStrictEqual(body.tools?.map((tool: { name: string }) => tool.name), ["summary"]) |
| 1154 | assert.deepStrictEqual(body.tool_choice, { |
| 1155 | type: "tool", |
| 1156 | name: "summary", |
| 1157 | disable_parallel_tool_use: true |
| 1158 | }) |
| 1159 | return summaryResponse(request, [ |
| 1160 | { type: "text", text: "Here is the summary." }, |
| 1161 | { type: "tool_use", id: "toolu_summary", name: "summary", input: { title: "Rain" } } |
| 1162 | ]) |
| 1163 | }) |
| 1164 | ) |
| 1165 | )) |
| 1166 | ) |
| 1167 | |
| 1168 | const response = yield* LanguageModel.generateObject({ |
| 1169 | prompt: "Give a title for a story about rain.", |
| 1170 | objectName: "summary", |
| 1171 | schema: Schema.Struct({ title: Schema.String }) |
| 1172 | }).pipe( |
| 1173 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-6", { structuredOutputs: false })), |
| 1174 | Effect.provide(layer) |
| 1175 | ) |
| 1176 | |
| 1177 | assert.deepStrictEqual(response.value, { title: "Rain" }) |
| 1178 | })) |
| 1179 | |
| 1180 | it.effect("decodes native JSON alongside an ordinary tool call", () => |
| 1181 | Effect.gen(function*() { |
| 1182 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 1183 | Layer.provide(Layer.succeed( |
| 1184 | HttpClient.HttpClient, |
| 1185 | makeHttpClient((request) => |
| 1186 | Effect.succeed(summaryResponse(request, [ |
| 1187 | { type: "text", text: JSON.stringify({ title: "Rain" }) }, |
| 1188 | { type: "tool_use", id: "toolu_weather", name: "Weather", input: { city: "SF" } } |
| 1189 | ])) |
| 1190 | ) |
| 1191 | )) |
| 1192 | ) |
| 1193 | const toolkit = Toolkit.make(Tool.make("Weather", { |
| 1194 | parameters: Schema.Struct({ city: Schema.String }), |
| 1195 | success: Schema.String |
| 1196 | })) |
| 1197 | |
| 1198 | const response = yield* LanguageModel.generateObject({ |
| 1199 | prompt: "Give a title for a story about rain.", |
| 1200 | objectName: "summary", |
| 1201 | schema: Schema.Struct({ title: Schema.String }), |
| 1202 | toolkit |
| 1203 | }).pipe( |
| 1204 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-6")), |
| 1205 | Effect.provide(toolkit.toLayer({ Weather: () => Effect.succeed("Rain") })), |
| 1206 | Effect.provide(layer) |
| 1207 | ) |
| 1208 | |
| 1209 | assert.deepStrictEqual(response.value, { title: "Rain" }) |
| 1210 | assert.strictEqual(response.toolCalls[0]?.name, "Weather") |
| 1211 | })) |
| 1212 | }) |
| 1213 | |
| 1214 | describe("system messages", () => { |
| 1215 | const getRequest = ( |
| 1216 | model: string, |
| 1217 | prompt: Prompt.RawInput, |
| 1218 | config?: { readonly midConversationSystemMessages?: boolean | undefined } |
| 1219 | ) => |
| 1220 | Effect.gen(function*() { |
| 1221 | let capturedRequest: HttpClientRequest.HttpClientRequest | undefined = undefined |
| 1222 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 1223 | Layer.provide(Layer.succeed( |
| 1224 | HttpClient.HttpClient, |
| 1225 | makeHttpClient((request) => { |
| 1226 | capturedRequest = request |
| 1227 | return Effect.succeed(jsonResponse(request, { |
| 1228 | id: "msg_test_1", |
| 1229 | type: "message", |
| 1230 | role: "assistant", |
| 1231 | model, |
| 1232 | content: [{ type: "text", text: "Done" }], |
| 1233 | stop_reason: "end_turn", |
| 1234 | stop_sequence: null, |
| 1235 | usage: { |
| 1236 | cache_creation: null, |
| 1237 | cache_creation_input_tokens: null, |
| 1238 | cache_read_input_tokens: null, |
| 1239 | inference_geo: null, |
| 1240 | input_tokens: 1, |
| 1241 | output_tokens: 1, |
| 1242 | service_tier: null |
| 1243 | } |
| 1244 | })) |
| 1245 | }) |
| 1246 | )) |
| 1247 | ) |
| 1248 | |
| 1249 | yield* LanguageModel.generateText({ prompt, disableToolCallResolution: true }).pipe( |
| 1250 | Effect.provide(AnthropicLanguageModel.model(model, config)), |
| 1251 | Effect.provide(layer) |
| 1252 | ) |
| 1253 | |
| 1254 | if (capturedRequest === undefined) { |
| 1255 | return yield* Effect.die(new Error("Expected a captured request")) |
| 1256 | } |
| 1257 | return yield* getRequestBody(capturedRequest) |
| 1258 | }) |
| 1259 | |
| 1260 | const conversation = Prompt.make([ |
| 1261 | { role: "system", content: "A" }, |
| 1262 | { role: "user", content: "Question 1" }, |
| 1263 | { role: "assistant", content: "Answer 1" }, |
| 1264 | { role: "system", content: "B" }, |
| 1265 | { role: "user", content: "Question 2" } |
| 1266 | ]) |
| 1267 | |
| 1268 | it.effect("sends later system messages after the next user turn", () => |
| 1269 | Effect.gen(function*() { |
| 1270 | const body = yield* getRequest("claude-sonnet-5-5", conversation) |
| 1271 | |
| 1272 | assert.deepStrictEqual(body.system.map((block: any) => block.text), ["A"]) |
| 1273 | assert.deepStrictEqual(body.messages.map((message: any) => message.role), [ |
| 1274 | "user", |
| 1275 | "assistant", |
| 1276 | "user", |
| 1277 | "system" |
| 1278 | ]) |
| 1279 | assert.deepStrictEqual(body.messages.at(-1), { |
| 1280 | role: "system", |
| 1281 | content: [{ type: "text", text: "B", cache_control: null }] |
| 1282 | }) |
| 1283 | })) |
| 1284 | |
| 1285 | it.effect("sends every system message top-level when disabled", () => |
| 1286 | Effect.gen(function*() { |
| 1287 | const body = yield* getRequest("claude-sonnet-5-5", conversation, { midConversationSystemMessages: false }) |
| 1288 | |
| 1289 | assert.deepStrictEqual(body.system.map((block: any) => block.text), ["A", "B"]) |
| 1290 | assert.deepStrictEqual(body.messages.map((message: any) => message.role), ["user", "assistant", "user"]) |
| 1291 | assert.notProperty(body, "midConversationSystemMessages") |
| 1292 | })) |
| 1293 | |
| 1294 | it.effect("sends every system message top-level in order when one cannot follow a user turn", () => |
| 1295 | Effect.gen(function*() { |
| 1296 | const body = yield* getRequest( |
| 1297 | "claude-sonnet-5-5", |
| 1298 | Prompt.make([ |
| 1299 | { role: "system", content: "A" }, |
| 1300 | { role: "user", content: "Question" }, |
| 1301 | { role: "system", content: "B" }, |
| 1302 | { role: "assistant", content: "Answer" }, |
| 1303 | { role: "system", content: "C" } |
| 1304 | ]) |
| 1305 | ) |
| 1306 | |
| 1307 | assert.deepStrictEqual(body.system.map((block: any) => block.text), ["A", "B", "C"]) |
| 1308 | assert.deepStrictEqual(body.messages.map((message: any) => message.role), ["user", "assistant"]) |
| 1309 | })) |
| 1310 | |
| 1311 | it.effect("reports support for the requested model", () => |
| 1312 | Effect.gen(function*() { |
| 1313 | const model = yield* LanguageModel.LanguageModel |
| 1314 | |
| 1315 | assert.isTrue(yield* model.supportsSystemMessagesInHistory!) |
| 1316 | assert.isFalse( |
| 1317 | yield* model.supportsSystemMessagesInHistory!.pipe( |
| 1318 | AnthropicLanguageModel.withConfigOverride({ model: "claude-sonnet-5" }) |
| 1319 | ) |
| 1320 | ) |
| 1321 | }).pipe( |
| 1322 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-5-5")), |
| 1323 | Effect.provide(AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") })), |
| 1324 | Effect.provide(Layer.succeed(HttpClient.HttpClient, makeHttpClient(() => Effect.die("unexpected request")))) |
| 1325 | )) |
| 1326 | }) |
| 1327 | |
| 1328 | // The packaged `Memory_20250818` tool ships `customName: "AnthropicMemory"` / |
| 1329 | // `providerName: "memory"`, and is a client-executed provider tool. These |
| 1330 | // tests cover the round-trip that was broken on beta.98 (see #2615): |
| 1331 | // - the provider wire name ("memory") must resolve to the toolkit's custom |
| 1332 | // name ("AnthropicMemory"), otherwise `makeResponse` raises ToolNotFound |
| 1333 | // - `view_range` uses `Schema.optionalKey`, otherwise the Anthropic codec |
| 1334 | // rejects the tool schema with "Unsupported AST Undefined" |
| 1335 | // - `create` must carry `file_text`, otherwise the file body is dropped |
| 1336 | describe("Memory tool", () => { |
| 1337 | const memoryResponse = (request: HttpClientRequest.HttpClientRequest, input: unknown) => |
| 1338 | jsonResponse(request, { |
| 1339 | id: "msg_test_1", |
| 1340 | type: "message", |
| 1341 | role: "assistant", |
| 1342 | model: "claude-sonnet-4-20250514", |
| 1343 | content: [{ type: "tool_use", id: "toolu_mem_1", name: "memory", input }], |
| 1344 | stop_reason: "tool_use", |
| 1345 | stop_sequence: null, |
| 1346 | usage: { |
| 1347 | cache_creation: null, |
| 1348 | cache_creation_input_tokens: null, |
| 1349 | cache_read_input_tokens: null, |
| 1350 | inference_geo: null, |
| 1351 | input_tokens: 10, |
| 1352 | output_tokens: 5, |
| 1353 | service_tier: null |
| 1354 | } |
| 1355 | }) |
| 1356 | |
| 1357 | it.effect("resolves the provider wire name to the tool's custom name (view)", () => |
| 1358 | Effect.gen(function*() { |
| 1359 | let receivedParams: unknown = undefined |
| 1360 | const toolkit = Toolkit.make(AnthropicTool.Memory_20250818({})) |
| 1361 | const toolkitLayer = toolkit.toLayer({ |
| 1362 | AnthropicMemory: (params) => { |
| 1363 | receivedParams = params |
| 1364 | return Effect.succeed("memory listing") |
| 1365 | } |
| 1366 | }) |
| 1367 | |
| 1368 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 1369 | Layer.provide(Layer.succeed( |
| 1370 | HttpClient.HttpClient, |
| 1371 | makeHttpClient((request) => Effect.succeed(memoryResponse(request, { command: "view", path: "/memories" }))) |
| 1372 | )) |
| 1373 | ) |
| 1374 | |
| 1375 | const response = yield* LanguageModel.generateText({ |
| 1376 | prompt: "check memory", |
| 1377 | toolkit |
| 1378 | }).pipe( |
| 1379 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 1380 | Effect.provide(toolkitLayer), |
| 1381 | Effect.provide(layer) |
| 1382 | ) |
| 1383 | |
| 1384 | // Handler was resolved under the custom name and received the decoded command |
| 1385 | assert.deepStrictEqual(receivedParams, { command: "view", path: "/memories" }) |
| 1386 | |
| 1387 | const toolResult = response.toolResults[0] |
| 1388 | assert.isDefined(toolResult) |
| 1389 | assert.strictEqual(toolResult.name, "AnthropicMemory") |
| 1390 | assert.strictEqual(toolResult.result, "memory listing") |
| 1391 | })) |
| 1392 | |
| 1393 | it.effect("decodes the create command including file_text", () => |
| 1394 | Effect.gen(function*() { |
| 1395 | let receivedParams: unknown = undefined |
| 1396 | const toolkit = Toolkit.make(AnthropicTool.Memory_20250818({})) |
| 1397 | const toolkitLayer = toolkit.toLayer({ |
| 1398 | AnthropicMemory: (params) => { |
| 1399 | receivedParams = params |
| 1400 | return Effect.succeed("File created successfully at: /memories/notes.txt") |
| 1401 | } |
| 1402 | }) |
| 1403 | |
| 1404 | const layer = AnthropicClient.layer({ apiKey: Redacted.make("sk-test-key") }).pipe( |
| 1405 | Layer.provide(Layer.succeed( |
| 1406 | HttpClient.HttpClient, |
| 1407 | makeHttpClient((request) => |
| 1408 | Effect.succeed(memoryResponse(request, { |
| 1409 | command: "create", |
| 1410 | path: "/memories/notes.txt", |
| 1411 | file_text: "hello world" |
| 1412 | })) |
| 1413 | ) |
| 1414 | )) |
| 1415 | ) |
| 1416 | |
| 1417 | const response = yield* LanguageModel.generateText({ |
| 1418 | prompt: "save a note", |
| 1419 | toolkit |
| 1420 | }).pipe( |
| 1421 | Effect.provide(AnthropicLanguageModel.model("claude-sonnet-4-20250514")), |
| 1422 | Effect.provide(toolkitLayer), |
| 1423 | Effect.provide(layer) |
| 1424 | ) |
| 1425 | |
| 1426 | assert.deepStrictEqual(receivedParams, { |
| 1427 | command: "create", |
| 1428 | path: "/memories/notes.txt", |
| 1429 | file_text: "hello world" |
| 1430 | }) |
| 1431 | assert.strictEqual(response.toolResults[0]?.name, "AnthropicMemory") |
| 1432 | })) |
| 1433 | }) |
| 1434 | |
| 1435 | // Client-executed (`requiresHandler`) provider tools have their `parameters` |
| 1436 | // decoded via `toCodecAnthropic` when the model calls them. Optional |
| 1437 | // parameters must use `Schema.optionalKey` (not `Schema.optional`), otherwise |
| 1438 | // the codec rejects the schema with "Unsupported AST Undefined" (see #2615). |
| 1439 | describe("client provider tool parameters compile with the Anthropic codec", () => { |
| 1440 | const displayArgs = { displayWidthPx: 800, displayHeightPx: 600 } |
| 1441 | const clientTools: ReadonlyArray<readonly [string, Tool.AnyProviderDefined]> = [ |
| 1442 | ["Bash_20241022", AnthropicTool.Bash_20241022({})], |
| 1443 | ["Bash_20250124", AnthropicTool.Bash_20250124({})], |
| 1444 | ["ComputerUse_20241022", AnthropicTool.ComputerUse_20241022(displayArgs)], |
| 1445 | ["ComputerUse_20250124", AnthropicTool.ComputerUse_20250124(displayArgs)], |
| 1446 | ["ComputerUse_20251124", AnthropicTool.ComputerUse_20251124(displayArgs)], |
| 1447 | ["Memory_20250818", AnthropicTool.Memory_20250818({})], |
| 1448 | ["TextEditor_20241022", AnthropicTool.TextEditor_20241022({})], |
| 1449 | ["TextEditor_20250124", AnthropicTool.TextEditor_20250124({})], |
| 1450 | ["TextEditor_20250429", AnthropicTool.TextEditor_20250429({})], |
| 1451 | ["TextEditor_20250728", AnthropicTool.TextEditor_20250728({})] |
| 1452 | ] |
| 1453 | |
| 1454 | for (const [name, tool] of clientTools) { |
| 1455 | it(name, () => { |
| 1456 | const codec = AnthropicStructuredOutput.toCodecAnthropic(tool.parametersSchema) |
| 1457 | assert.isDefined(codec) |
| 1458 | }) |
| 1459 | } |
| 1460 | }) |
| 1461 | }) |
| 1462 | |
| 1463 | const makeHttpClient = ( |
| 1464 | handler: ( |
| 1465 | request: HttpClientRequest.HttpClientRequest |
| 1466 | ) => Effect.Effect<HttpClientResponse.HttpClientResponse, HttpClientError.HttpClientError> |
| 1467 | ) => |
| 1468 | HttpClient.makeWith( |
| 1469 | Effect.fnUntraced(function*(requestEffect) { |
| 1470 | const request = yield* requestEffect |
| 1471 | return yield* handler(request) |
| 1472 | }), |
| 1473 | Effect.succeed as HttpClient.HttpClient.Preprocess<HttpClientError.HttpClientError, never> |
| 1474 | ) |
| 1475 | |
| 1476 | const sseResponse = ( |
| 1477 | request: HttpClientRequest.HttpClientRequest, |
| 1478 | events: ReadonlyArray<unknown> |
| 1479 | ): HttpClientResponse.HttpClientResponse => |
| 1480 | HttpClientResponse.fromWeb( |
| 1481 | request, |
| 1482 | new Response(toSseBody(events), { |
| 1483 | status: 200, |
| 1484 | headers: { |
| 1485 | "content-type": "text/event-stream" |
| 1486 | } |
| 1487 | }) |
| 1488 | ) |
| 1489 | |
| 1490 | const jsonResponse = ( |
| 1491 | request: HttpClientRequest.HttpClientRequest, |
| 1492 | body: unknown |
| 1493 | ): HttpClientResponse.HttpClientResponse => |
| 1494 | HttpClientResponse.fromWeb( |
| 1495 | request, |
| 1496 | new Response(JSON.stringify(body), { |
| 1497 | status: 200, |
| 1498 | headers: { |
| 1499 | "content-type": "application/json" |
| 1500 | } |
| 1501 | }) |
| 1502 | ) |
| 1503 | |
| 1504 | const getRequestBody = (request: HttpClientRequest.HttpClientRequest) => |
| 1505 | Effect.gen(function*() { |
| 1506 | const body = request.body |
| 1507 | if (body._tag !== "Uint8Array") { |
| 1508 | return yield* Effect.die(new Error("Expected Uint8Array body")) |
| 1509 | } |
| 1510 | return JSON.parse(new TextDecoder().decode(body.body)) |
| 1511 | }) |
| 1512 | |
| 1513 | const toSseBody = (events: ReadonlyArray<unknown>): string => |
| 1514 | events.map((event) => `event: message_stream\ndata: ${JSON.stringify(event)}\n\n`).join("") |