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test_responses_spec.py — langchain Source File

Architecture documentation for test_responses_spec.py, a python file in the langchain codebase. 13 imports, 0 dependents.

File python CoreAbstractions MessageSchema 13 imports 5 functions 4 classes

Entity Profile

Dependency Diagram

graph LR
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Relationship Graph

Source Code

from __future__ import annotations

import os
from typing import (
    TYPE_CHECKING,
    Any,
)
from unittest.mock import MagicMock

import httpx
import pytest
from langchain_core.messages import HumanMessage
from langchain_core.tools import tool
from pydantic import BaseModel, create_model

from langchain.agents import create_agent
from langchain.agents.structured_output import (
    ToolStrategy,
)
from tests.unit_tests.agents.utils import BaseSchema, load_spec

if TYPE_CHECKING:
    from collections.abc import Callable


try:
    from langchain_openai import ChatOpenAI
except ImportError:
    skip_openai_integration_tests = True
else:
    skip_openai_integration_tests = "OPENAI_API_KEY" not in os.environ

AGENT_PROMPT = "You are an HR assistant."


class ToolCalls(BaseSchema):
    get_employee_role: int
    get_employee_department: int


class AssertionByInvocation(BaseSchema):
    prompt: str
    tools_with_expected_calls: ToolCalls
    expected_last_message: str
    expected_structured_response: dict[str, Any] | None
    llm_request_count: int


class TestCase(BaseSchema):
    name: str
    response_format: dict[str, Any] | list[dict[str, Any]]
    assertions_by_invocation: list[AssertionByInvocation]


class Employee(BaseModel):
    name: str
    role: str
    department: str


// ... (107 more lines)

Domain

Subdomains

Functions

Classes

Dependencies

  • collections.abc
  • httpx
  • langchain.agents
  • langchain.agents.structured_output
  • langchain_core.messages
  • langchain_core.tools
  • langchain_openai
  • os
  • pydantic
  • pytest
  • tests.unit_tests.agents.utils
  • typing
  • unittest.mock

Source

Frequently Asked Questions

What does test_responses_spec.py do?
test_responses_spec.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, MessageSchema subdomain.
What functions are defined in test_responses_spec.py?
test_responses_spec.py defines 5 function(s): _make_tool, collections, langchain_openai, skip_openai_integration_tests, test_responses_integration_matrix.
What does test_responses_spec.py depend on?
test_responses_spec.py imports 13 module(s): collections.abc, httpx, langchain.agents, langchain.agents.structured_output, langchain_core.messages, langchain_core.tools, langchain_openai, os, and 5 more.
Where is test_responses_spec.py in the architecture?
test_responses_spec.py is located at libs/langchain_v1/tests/unit_tests/agents/test_responses_spec.py (domain: CoreAbstractions, subdomain: MessageSchema, directory: libs/langchain_v1/tests/unit_tests/agents).

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