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https://github.com/meta-llama/llama-stack.git
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more test fixes
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commit
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7 changed files with 63 additions and 120 deletions
1
.gitignore
vendored
1
.gitignore
vendored
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@ -19,4 +19,3 @@ Package.resolved
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_build
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docs/src
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pyrightconfig.json
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.aider*
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@ -10,7 +10,8 @@ from ..conftest import get_provider_fixture_overrides
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from ..inference.fixtures import INFERENCE_FIXTURES
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from ..memory.fixtures import MEMORY_FIXTURES
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from ..safety.fixtures import SAFETY_FIXTURES, safety_model_from_shield
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from .fixtures import AGENTS_FIXTURES, TOOL_RUNTIME_FIXTURES
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from ..tools.fixtures import TOOL_RUNTIME_FIXTURES
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from .fixtures import AGENTS_FIXTURES
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DEFAULT_PROVIDER_COMBINATIONS = [
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pytest.param(
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@ -4,21 +4,12 @@
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import os
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import tempfile
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import pytest
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import pytest_asyncio
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from llama_models.llama3.api.datatypes import BuiltinTool
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from llama_stack.apis.models import ModelInput, ModelType
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from llama_stack.apis.tools import (
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BuiltInToolDef,
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CustomToolDef,
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ToolGroupInput,
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ToolParameter,
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UserDefinedToolGroupDef,
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)
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from llama_stack.distribution.datatypes import Api, Provider
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from llama_stack.providers.inline.agents.meta_reference import (
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MetaReferenceAgentsImplConfig,
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@ -63,32 +54,17 @@ def agents_meta_reference() -> ProviderFixture:
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)
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@pytest.fixture(scope="session")
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def tool_runtime_memory_and_search() -> ProviderFixture:
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return ProviderFixture(
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providers=[
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Provider(
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provider_id="memory-runtime",
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provider_type="inline::memory-runtime",
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config={},
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),
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Provider(
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provider_id="tavily-search",
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provider_type="remote::tavily-search",
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config={
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"api_key": os.environ["TAVILY_SEARCH_API_KEY"],
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},
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),
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],
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)
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AGENTS_FIXTURES = ["meta_reference", "remote"]
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TOOL_RUNTIME_FIXTURES = ["memory_and_search"]
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@pytest_asyncio.fixture(scope="session")
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async def agents_stack(request, inference_model, safety_shield):
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async def agents_stack(
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request,
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inference_model,
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safety_shield,
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tool_group_input_memory,
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tool_group_input_tavily_search,
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):
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fixture_dict = request.param
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providers = {}
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@ -140,47 +116,6 @@ async def agents_stack(request, inference_model, safety_shield):
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metadata={"embedding_dimension": 384},
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)
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)
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tool_groups = [
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ToolGroupInput(
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tool_group_id="tavily_search_group",
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tool_group=UserDefinedToolGroupDef(
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tools=[
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BuiltInToolDef(
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built_in_type=BuiltinTool.brave_search,
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metadata={},
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),
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],
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),
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provider_id="tavily-search",
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),
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ToolGroupInput(
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tool_group_id="memory_group",
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tool_group=UserDefinedToolGroupDef(
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tools=[
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CustomToolDef(
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name="memory",
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description="memory",
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parameters=[
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ToolParameter(
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name="input_messages",
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description="messages",
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parameter_type="list",
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required=True,
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),
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],
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metadata={
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"config": {
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"memory_bank_configs": [
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{"bank_id": "test_bank", "type": "vector"}
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]
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}
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},
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)
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],
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),
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provider_id="memory-runtime",
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),
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]
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test_stack = await construct_stack_for_test(
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[Api.agents, Api.inference, Api.safety, Api.memory, Api.tool_runtime],
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@ -188,6 +123,6 @@ async def agents_stack(request, inference_model, safety_shield):
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provider_data,
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models=models,
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shields=[safety_shield] if safety_shield else [],
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tool_groups=tool_groups,
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tool_groups=[tool_group_input_memory, tool_group_input_tavily_search],
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)
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return test_stack
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@ -22,6 +22,8 @@ from llama_stack.apis.agents import (
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Turn,
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)
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from llama_stack.apis.inference import CompletionMessage, SamplingParams, UserMessage
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from llama_stack.apis.memory import MemoryBankDocument
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from llama_stack.apis.memory_banks import VectorMemoryBankParams
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from llama_stack.apis.safety import ViolationLevel
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from llama_stack.providers.datatypes import Api
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@ -157,4 +157,5 @@ pytest_plugins = [
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"llama_stack.providers.tests.scoring.fixtures",
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"llama_stack.providers.tests.eval.fixtures",
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"llama_stack.providers.tests.post_training.fixtures",
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"llama_stack.providers.tests.tools.fixtures",
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]
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@ -10,7 +10,7 @@ from ..conftest import get_provider_fixture_overrides
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from ..inference.fixtures import INFERENCE_FIXTURES
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from ..memory.fixtures import MEMORY_FIXTURES
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from ..safety.fixtures import SAFETY_FIXTURES
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from .fixtures import TOOL_RUNTIME_FIXTURES, tools_stack # noqa: F401
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from .fixtures import TOOL_RUNTIME_FIXTURES
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DEFAULT_PROVIDER_COMBINATIONS = [
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pytest.param(
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@ -44,11 +44,55 @@ def tool_runtime_memory_and_search() -> ProviderFixture:
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)
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@pytest.fixture(scope="session")
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def tool_group_input_memory() -> ToolGroupInput:
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return ToolGroupInput(
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tool_group_id="memory_group",
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tool_group=UserDefinedToolGroupDef(
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tools=[
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CustomToolDef(
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name="memory",
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description="Query the memory bank",
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parameters=[
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ToolParameter(
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name="input_messages",
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description="The input messages to search for in memory",
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parameter_type="list",
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required=True,
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),
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],
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metadata={
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"config": {
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"memory_bank_configs": [
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{"bank_id": "test_bank", "type": "vector"}
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]
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}
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},
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)
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],
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),
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provider_id="memory-runtime",
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)
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@pytest.fixture(scope="session")
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def tool_group_input_tavily_search() -> ToolGroupInput:
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return ToolGroupInput(
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tool_group_id="tavily_search_group",
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tool_group=UserDefinedToolGroupDef(
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tools=[BuiltInToolDef(built_in_type=BuiltinTool.brave_search, metadata={})],
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),
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provider_id="tavily-search",
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)
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TOOL_RUNTIME_FIXTURES = ["memory_and_search"]
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@pytest_asyncio.fixture(scope="session")
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async def tools_stack(request, inference_model):
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async def tools_stack(
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request, inference_model, tool_group_input_memory, tool_group_input_tavily_search
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):
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fixture_dict = request.param
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providers = {}
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@ -86,53 +130,14 @@ async def tools_stack(request, inference_model):
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)
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)
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tool_groups = [
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ToolGroupInput(
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tool_group_id="tavily_search_group",
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tool_group=UserDefinedToolGroupDef(
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tools=[
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BuiltInToolDef(
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built_in_type=BuiltinTool.brave_search,
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metadata={},
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),
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],
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),
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provider_id="tavily-search",
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),
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ToolGroupInput(
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tool_group_id="memory_group",
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tool_group=UserDefinedToolGroupDef(
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tools=[
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CustomToolDef(
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name="memory",
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description="Query the memory bank",
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parameters=[
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ToolParameter(
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name="input_messages",
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description="The input messages to search for in memory",
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parameter_type="list",
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required=True,
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),
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],
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metadata={
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"config": {
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"memory_bank_configs": [
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{"bank_id": "test_bank", "type": "vector"}
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]
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}
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},
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)
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],
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),
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provider_id="memory-runtime",
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),
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]
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test_stack = await construct_stack_for_test(
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[Api.tool_groups, Api.inference, Api.memory, Api.tool_runtime],
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providers,
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provider_data,
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models=models,
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tool_groups=tool_groups,
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tool_groups=[
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tool_group_input_tavily_search,
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tool_group_input_memory,
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],
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)
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return test_stack
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