mirror of
https://github.com/EvolutionAPI/adk-python.git
synced 2025-07-14 01:41:25 -06:00
16f7d98acf
Enable parallel tools for anthropic models, and add agent examples, and also added functional test for anthropic models. PiperOrigin-RevId: 766703018
125 lines
3.7 KiB
Python
125 lines
3.7 KiB
Python
# Copyright 2025 Google LLC
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
import os
|
|
import sys
|
|
from unittest import mock
|
|
|
|
from anthropic import types as anthropic_types
|
|
from google.adk import version as adk_version
|
|
from google.adk.models import anthropic_llm
|
|
from google.adk.models.anthropic_llm import Claude
|
|
from google.adk.models.llm_request import LlmRequest
|
|
from google.adk.models.llm_response import LlmResponse
|
|
from google.genai import types
|
|
from google.genai import version as genai_version
|
|
from google.genai.types import Content
|
|
from google.genai.types import Part
|
|
import pytest
|
|
|
|
|
|
@pytest.fixture
|
|
def generate_content_response():
|
|
return anthropic_types.Message(
|
|
id="msg_vrtx_testid",
|
|
content=[
|
|
anthropic_types.TextBlock(
|
|
citations=None, text="Hi! How can I help you today?", type="text"
|
|
)
|
|
],
|
|
model="claude-3-5-sonnet-v2-20241022",
|
|
role="assistant",
|
|
stop_reason="end_turn",
|
|
stop_sequence=None,
|
|
type="message",
|
|
usage=anthropic_types.Usage(
|
|
cache_creation_input_tokens=0,
|
|
cache_read_input_tokens=0,
|
|
input_tokens=13,
|
|
output_tokens=12,
|
|
server_tool_use=None,
|
|
service_tier=None,
|
|
),
|
|
)
|
|
|
|
|
|
@pytest.fixture
|
|
def generate_llm_response():
|
|
return LlmResponse.create(
|
|
types.GenerateContentResponse(
|
|
candidates=[
|
|
types.Candidate(
|
|
content=Content(
|
|
role="model",
|
|
parts=[Part.from_text(text="Hello, how can I help you?")],
|
|
),
|
|
finish_reason=types.FinishReason.STOP,
|
|
)
|
|
]
|
|
)
|
|
)
|
|
|
|
|
|
@pytest.fixture
|
|
def claude_llm():
|
|
return Claude(model="claude-3-5-sonnet-v2@20241022")
|
|
|
|
|
|
@pytest.fixture
|
|
def llm_request():
|
|
return LlmRequest(
|
|
model="claude-3-5-sonnet-v2@20241022",
|
|
contents=[Content(role="user", parts=[Part.from_text(text="Hello")])],
|
|
config=types.GenerateContentConfig(
|
|
temperature=0.1,
|
|
response_modalities=[types.Modality.TEXT],
|
|
system_instruction="You are a helpful assistant",
|
|
),
|
|
)
|
|
|
|
|
|
def test_supported_models():
|
|
models = Claude.supported_models()
|
|
assert len(models) == 2
|
|
assert models[0] == r"claude-3-.*"
|
|
assert models[1] == r"claude-.*-4.*"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_generate_content_async(
|
|
claude_llm, llm_request, generate_content_response, generate_llm_response
|
|
):
|
|
with mock.patch.object(claude_llm, "_anthropic_client") as mock_client:
|
|
with mock.patch.object(
|
|
anthropic_llm,
|
|
"message_to_generate_content_response",
|
|
return_value=generate_llm_response,
|
|
):
|
|
# Create a mock coroutine that returns the generate_content_response.
|
|
async def mock_coro():
|
|
return generate_content_response
|
|
|
|
# Assign the coroutine to the mocked method
|
|
mock_client.messages.create.return_value = mock_coro()
|
|
|
|
responses = [
|
|
resp
|
|
async for resp in claude_llm.generate_content_async(
|
|
llm_request, stream=False
|
|
)
|
|
]
|
|
assert len(responses) == 1
|
|
assert isinstance(responses[0], LlmResponse)
|
|
assert responses[0].content.parts[0].text == "Hello, how can I help you?"
|