mirror of
https://github.com/EvolutionAPI/adk-python.git
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257 lines
7.1 KiB
Python
257 lines
7.1 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Unit tests for canonical_xxx fields in LlmAgent."""
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from typing import Any
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from typing import Optional
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from google.adk.agents.callback_context import CallbackContext
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from google.adk.agents.invocation_context import InvocationContext
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from google.adk.agents.llm_agent import LlmAgent
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from google.adk.agents.loop_agent import LoopAgent
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from google.adk.agents.readonly_context import ReadonlyContext
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from google.adk.models.llm_request import LlmRequest
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from google.adk.models.registry import LLMRegistry
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from google.adk.sessions.in_memory_session_service import InMemorySessionService
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from google.genai import types
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from pydantic import BaseModel
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import pytest
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def _create_readonly_context(
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agent: LlmAgent, state: Optional[dict[str, Any]] = None
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) -> ReadonlyContext:
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session_service = InMemorySessionService()
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session = session_service.create_session(
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app_name='test_app', user_id='test_user', state=state
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)
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invocation_context = InvocationContext(
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invocation_id='test_id',
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agent=agent,
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session=session,
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session_service=session_service,
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)
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return ReadonlyContext(invocation_context)
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def test_canonical_model_empty():
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agent = LlmAgent(name='test_agent')
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with pytest.raises(ValueError):
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_ = agent.canonical_model
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def test_canonical_model_str():
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agent = LlmAgent(name='test_agent', model='gemini-pro')
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assert agent.canonical_model.model == 'gemini-pro'
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def test_canonical_model_llm():
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llm = LLMRegistry.new_llm('gemini-pro')
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agent = LlmAgent(name='test_agent', model=llm)
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assert agent.canonical_model == llm
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def test_canonical_model_inherit():
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sub_agent = LlmAgent(name='sub_agent')
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parent_agent = LlmAgent(
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name='parent_agent', model='gemini-pro', sub_agents=[sub_agent]
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)
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assert sub_agent.canonical_model == parent_agent.canonical_model
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def test_canonical_instruction_str():
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agent = LlmAgent(name='test_agent', instruction='instruction')
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ctx = _create_readonly_context(agent)
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assert agent.canonical_instruction(ctx) == 'instruction'
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def test_canonical_instruction():
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def _instruction_provider(ctx: ReadonlyContext) -> str:
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return f'instruction: {ctx.state["state_var"]}'
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agent = LlmAgent(name='test_agent', instruction=_instruction_provider)
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ctx = _create_readonly_context(agent, state={'state_var': 'state_value'})
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assert agent.canonical_instruction(ctx) == 'instruction: state_value'
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def test_async_canonical_instruction():
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async def _instruction_provider(ctx: ReadonlyContext) -> str:
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return f'instruction: {ctx.state["state_var"]}'
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agent = LlmAgent(name='test_agent', instruction=_instruction_provider)
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ctx = _create_readonly_context(agent, state={'state_var': 'state_value'})
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assert agent.canonical_instruction(ctx) == 'instruction: state_value'
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def test_canonical_global_instruction_str():
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agent = LlmAgent(name='test_agent', global_instruction='global instruction')
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ctx = _create_readonly_context(agent)
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assert agent.canonical_global_instruction(ctx) == 'global instruction'
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def test_canonical_global_instruction():
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def _global_instruction_provider(ctx: ReadonlyContext) -> str:
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return f'global instruction: {ctx.state["state_var"]}'
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agent = LlmAgent(
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name='test_agent', global_instruction=_global_instruction_provider
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)
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ctx = _create_readonly_context(agent, state={'state_var': 'state_value'})
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assert (
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agent.canonical_global_instruction(ctx)
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== 'global instruction: state_value'
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)
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def test_async_canonical_global_instruction():
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async def _global_instruction_provider(ctx: ReadonlyContext) -> str:
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return f'global instruction: {ctx.state["state_var"]}'
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agent = LlmAgent(
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name='test_agent', global_instruction=_global_instruction_provider
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)
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ctx = _create_readonly_context(agent, state={'state_var': 'state_value'})
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assert (
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agent.canonical_global_instruction(ctx)
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== 'global instruction: state_value'
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)
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def test_output_schema_will_disable_transfer(caplog: pytest.LogCaptureFixture):
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with caplog.at_level('WARNING'):
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class Schema(BaseModel):
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pass
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agent = LlmAgent(
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name='test_agent',
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output_schema=Schema,
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)
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# Transfer is automatically disabled
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assert agent.disallow_transfer_to_parent
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assert agent.disallow_transfer_to_peers
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assert (
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'output_schema cannot co-exist with agent transfer configurations.'
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in caplog.text
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)
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def test_output_schema_with_sub_agents_will_throw():
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class Schema(BaseModel):
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pass
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sub_agent = LlmAgent(
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name='sub_agent',
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)
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with pytest.raises(ValueError):
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_ = LlmAgent(
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name='test_agent',
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output_schema=Schema,
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sub_agents=[sub_agent],
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)
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def test_output_schema_with_tools_will_throw():
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class Schema(BaseModel):
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pass
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def _a_tool():
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pass
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with pytest.raises(ValueError):
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_ = LlmAgent(
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name='test_agent',
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output_schema=Schema,
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tools=[_a_tool],
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)
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def test_before_model_callback():
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def _before_model_callback(
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callback_context: CallbackContext,
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llm_request: LlmRequest,
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) -> None:
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return None
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agent = LlmAgent(
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name='test_agent', before_model_callback=_before_model_callback
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)
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# TODO: add more logic assertions later.
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assert agent.before_model_callback is not None
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def test_validate_generate_content_config_thinking_config_throw():
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with pytest.raises(ValueError):
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_ = LlmAgent(
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name='test_agent',
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generate_content_config=types.GenerateContentConfig(
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thinking_config=types.ThinkingConfig()
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),
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)
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def test_validate_generate_content_config_tools_throw():
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with pytest.raises(ValueError):
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_ = LlmAgent(
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name='test_agent',
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generate_content_config=types.GenerateContentConfig(
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tools=[types.Tool(function_declarations=[])]
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),
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)
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def test_validate_generate_content_config_system_instruction_throw():
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with pytest.raises(ValueError):
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_ = LlmAgent(
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name='test_agent',
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generate_content_config=types.GenerateContentConfig(
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system_instruction='system instruction'
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),
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)
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def test_validate_generate_content_config_response_schema_throw():
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class Schema(BaseModel):
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pass
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with pytest.raises(ValueError):
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_ = LlmAgent(
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name='test_agent',
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generate_content_config=types.GenerateContentConfig(
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response_schema=Schema
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),
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)
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def test_allow_transfer_by_default():
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sub_agent = LlmAgent(name='sub_agent')
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agent = LlmAgent(name='test_agent', sub_agents=[sub_agent])
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assert not agent.disallow_transfer_to_parent
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assert not agent.disallow_transfer_to_peers
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