|
49 | 49 | ) |
50 | 50 | from agentrun.utils.config import Config |
51 | 51 | from agentrun.utils.exception import ( |
52 | | - ClientError, |
53 | 52 | ResourceAlreadyExistError, |
54 | 53 | ResourceNotExistError, |
55 | 54 | ) |
@@ -474,6 +473,120 @@ def test_model_service_invoke(self, model_service_name: str): |
474 | 473 |
|
475 | 474 | ms.delete() |
476 | 475 |
|
| 476 | + async def test_model_service_with_credential_async( |
| 477 | + self, model_service_name: str |
| 478 | + ): |
| 479 | + # 创建 Credential |
| 480 | + from agentrun.credential import ( |
| 481 | + Credential, |
| 482 | + CredentialConfig, |
| 483 | + CredentialCreateInput, |
| 484 | + ) |
| 485 | + |
| 486 | + cr = Credential.create( |
| 487 | + CredentialCreateInput( |
| 488 | + credential_name=f"{model_service_name}-credential", |
| 489 | + enabled=True, |
| 490 | + credential_config=CredentialConfig.outbound_llm_api_key( |
| 491 | + api_key=api_key, |
| 492 | + provider="openai", |
| 493 | + ), |
| 494 | + ) |
| 495 | + ) |
| 496 | + |
| 497 | + # 创建 model service |
| 498 | + ms = await ModelService.create_async( |
| 499 | + ModelServiceCreateInput( |
| 500 | + model_service_name=model_service_name, |
| 501 | + description="原始描述", |
| 502 | + model_type=ModelType.LLM, |
| 503 | + provider="openai", |
| 504 | + credential_name=cr.credential_name, |
| 505 | + provider_settings=ProviderSettings( |
| 506 | + base_url=base_url, |
| 507 | + model_names=model_names, |
| 508 | + ), |
| 509 | + ) |
| 510 | + ) |
| 511 | + ms.wait_until_ready_or_failed() |
| 512 | + |
| 513 | + result = ms.completions( |
| 514 | + messages=[ |
| 515 | + { |
| 516 | + "role": "system", |
| 517 | + "content": "你是一个回音壁,会原封不动返回用户的输入", |
| 518 | + }, |
| 519 | + {"role": "user", "content": "你好!"}, |
| 520 | + {"role": "assistant", "content": "你好!"}, |
| 521 | + {"role": "user", "content": "今天天气怎么样?"}, |
| 522 | + ], |
| 523 | + stream=False, |
| 524 | + ) |
| 525 | + assert isinstance(result, ModelResponse) |
| 526 | + assert ( |
| 527 | + pydash.get(result, "choices[0].message.content") |
| 528 | + == "今天天气怎么样?" |
| 529 | + ) |
| 530 | + |
| 531 | + await ms.delete_async() |
| 532 | + await cr.delete_async() |
| 533 | + |
| 534 | + def test_model_service_with_credential(self, model_service_name: str): |
| 535 | + # 创建 Credential |
| 536 | + from agentrun.credential import ( |
| 537 | + Credential, |
| 538 | + CredentialConfig, |
| 539 | + CredentialCreateInput, |
| 540 | + ) |
| 541 | + |
| 542 | + cr = Credential.create( |
| 543 | + CredentialCreateInput( |
| 544 | + credential_name=f"{model_service_name}-credential", |
| 545 | + enabled=True, |
| 546 | + credential_config=CredentialConfig.outbound_llm_api_key( |
| 547 | + api_key=api_key, |
| 548 | + provider="openai", |
| 549 | + ), |
| 550 | + ) |
| 551 | + ) |
| 552 | + |
| 553 | + # 创建 model service |
| 554 | + ms = ModelService.create( |
| 555 | + ModelServiceCreateInput( |
| 556 | + model_service_name=model_service_name, |
| 557 | + description="原始描述", |
| 558 | + model_type=ModelType.LLM, |
| 559 | + provider="openai", |
| 560 | + credential_name=cr.credential_name, |
| 561 | + provider_settings=ProviderSettings( |
| 562 | + base_url=base_url, |
| 563 | + model_names=model_names, |
| 564 | + ), |
| 565 | + ) |
| 566 | + ) |
| 567 | + ms.wait_until_ready_or_failed() |
| 568 | + |
| 569 | + result = ms.completions( |
| 570 | + messages=[ |
| 571 | + { |
| 572 | + "role": "system", |
| 573 | + "content": "你是一个回音壁,会原封不动返回用户的输入", |
| 574 | + }, |
| 575 | + {"role": "user", "content": "你好!"}, |
| 576 | + {"role": "assistant", "content": "你好!"}, |
| 577 | + {"role": "user", "content": "今天天气怎么样?"}, |
| 578 | + ], |
| 579 | + stream=False, |
| 580 | + ) |
| 581 | + assert isinstance(result, ModelResponse) |
| 582 | + assert ( |
| 583 | + pydash.get(result, "choices[0].message.content") |
| 584 | + == "今天天气怎么样?" |
| 585 | + ) |
| 586 | + |
| 587 | + ms.delete() |
| 588 | + cr.delete() |
| 589 | + |
477 | 590 |
|
478 | 591 | class TestModelProxy: |
479 | 592 | """ModelProxy 模块 E2E 测试""" |
|
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