test_tool_selection.py — langchain Source File
Architecture documentation for test_tool_selection.py, a python file in the langchain codebase. 14 imports, 0 dependents.
Entity Profile
Dependency Diagram
graph LR f96107c8_8757_b550_ad6f_b1dcda0da20b["test_tool_selection.py"] 2bf6d401_816d_d011_3b05_a6114f55ff58["collections.abc"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> 2bf6d401_816d_d011_3b05_a6114f55ff58 3741f36e_1d35_fcc3_9884_1c5e40d99797["itertools"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> 3741f36e_1d35_fcc3_9884_1c5e40d99797 feec1ec4_6917_867b_d228_b134d0ff8099["typing"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> feec1ec4_6917_867b_d228_b134d0ff8099 f69d6389_263d_68a4_7fbf_f14c0602a9ba["pytest"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> f69d6389_263d_68a4_7fbf_f14c0602a9ba e929cf21_6ab8_6ff3_3765_0d35a099a053["langchain_core.language_models"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> e929cf21_6ab8_6ff3_3765_0d35a099a053 00fc047e_6208_0289_ebf0_f5b91b72ee90["langchain_core.language_models.fake_chat_models"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> 00fc047e_6208_0289_ebf0_f5b91b72ee90 9444498b_8066_55c7_b3a2_1d90c4162a32["langchain_core.messages"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> 9444498b_8066_55c7_b3a2_1d90c4162a32 31eab4ab_7281_1e6c_b17d_12e6ad9de07a["langchain_core.runnables"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> 31eab4ab_7281_1e6c_b17d_12e6ad9de07a 121262a1_0bd6_d637_bce3_307ab6b3ecd4["langchain_core.tools"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> 121262a1_0bd6_d637_bce3_307ab6b3ecd4 dd5e7909_a646_84f1_497b_cae69735550e["pydantic"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> dd5e7909_a646_84f1_497b_cae69735550e d9a6942a_c37a_07f8_ed13_74d0fdc117be["langchain.agents"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> d9a6942a_c37a_07f8_ed13_74d0fdc117be 598be07d_58e8_b830_8ebe_d631441aa2fe["langchain.agents.middleware"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> 598be07d_58e8_b830_8ebe_d631441aa2fe 55a5e8fe_1e74_0826_8313_3d7262cb8bd5["langchain.agents.middleware.tool_selection"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> 55a5e8fe_1e74_0826_8313_3d7262cb8bd5 397e32fd_cfd9_f9c7_de38_41991c05a78b["langchain.messages"] f96107c8_8757_b550_ad6f_b1dcda0da20b --> 397e32fd_cfd9_f9c7_de38_41991c05a78b style f96107c8_8757_b550_ad6f_b1dcda0da20b fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
"""Unit tests for LLM tool selection middleware."""
from collections.abc import Callable, Sequence
from itertools import cycle
from typing import Any, Literal
import pytest
from langchain_core.language_models import LanguageModelInput
from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
from langchain_core.messages import HumanMessage
from langchain_core.runnables import Runnable
from langchain_core.tools import BaseTool, tool
from pydantic import BaseModel
from langchain.agents import create_agent
from langchain.agents.middleware import (
LLMToolSelectorMiddleware,
ModelRequest,
ModelResponse,
wrap_model_call,
)
from langchain.agents.middleware.tool_selection import _create_tool_selection_response
from langchain.messages import AIMessage
@tool
def get_weather(location: str) -> str:
"""Get current weather for a location."""
return f"Weather in {location}: 72°F, sunny"
@tool
def search_web(query: str) -> str:
"""Search the web for information."""
return f"Search results for: {query}"
@tool
def calculate(expression: str) -> str:
"""Perform mathematical calculations."""
return f"Result of {expression}: 42"
@tool
def send_email(to: str, subject: str) -> str:
"""Send an email to someone."""
return f"Email sent to {to}"
@tool
def get_stock_price(symbol: str) -> str:
"""Get current stock price for a symbol."""
return f"Stock price for {symbol}: $150.25"
class FakeModel(GenericFakeChatModel):
tool_style: Literal["openai", "anthropic"] = "openai"
def bind_tools(
self,
// ... (582 more lines)
Domain
Subdomains
Classes
Dependencies
- collections.abc
- itertools
- langchain.agents
- langchain.agents.middleware
- langchain.agents.middleware.tool_selection
- langchain.messages
- langchain_core.language_models
- langchain_core.language_models.fake_chat_models
- langchain_core.messages
- langchain_core.runnables
- langchain_core.tools
- pydantic
- pytest
- typing
Source
Frequently Asked Questions
What does test_tool_selection.py do?
test_tool_selection.py is a source file in the langchain codebase, written in python. It belongs to the LangChainCore domain, ApiManagement subdomain.
What functions are defined in test_tool_selection.py?
test_tool_selection.py defines 5 function(s): calculate, get_stock_price, get_weather, search_web, send_email.
What does test_tool_selection.py depend on?
test_tool_selection.py imports 14 module(s): collections.abc, itertools, langchain.agents, langchain.agents.middleware, langchain.agents.middleware.tool_selection, langchain.messages, langchain_core.language_models, langchain_core.language_models.fake_chat_models, and 6 more.
Where is test_tool_selection.py in the architecture?
test_tool_selection.py is located at libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_selection.py (domain: LangChainCore, subdomain: ApiManagement, directory: libs/langchain_v1/tests/unit_tests/agents/middleware/implementations).
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