Files
everything-claude-code/tests/test_provider_tools.py
2026-05-11 04:12:35 -04:00

89 lines
2.6 KiB
Python

from types import SimpleNamespace
from llm.core.types import LLMInput, Message, Role, ToolDefinition
from llm.providers.claude import ClaudeProvider
from llm.providers.openai import OpenAIProvider
def _tool() -> ToolDefinition:
return ToolDefinition(
name="search",
description="Search",
parameters={"type": "object", "properties": {"query": {"type": "string"}}},
)
class _OpenAICompletions:
def __init__(self) -> None:
self.params = None
def create(self, **params):
self.params = params
return SimpleNamespace(
choices=[SimpleNamespace(message=SimpleNamespace(content="ok", tool_calls=None), finish_reason="stop")],
model=params["model"],
usage=SimpleNamespace(prompt_tokens=1, completion_tokens=1, total_tokens=2),
)
class _OpenAIClient:
def __init__(self) -> None:
self.completions = _OpenAICompletions()
self.chat = SimpleNamespace(completions=self.completions)
class _AnthropicMessages:
def __init__(self) -> None:
self.params = None
def create(self, **params):
self.params = params
return SimpleNamespace(
content=[SimpleNamespace(text="ok", type="text")],
model=params["model"],
usage=SimpleNamespace(input_tokens=1, output_tokens=1),
stop_reason="end_turn",
)
class _AnthropicClient:
def __init__(self) -> None:
self.messages = _AnthropicMessages()
self.api_key = "test"
def test_openai_provider_serializes_tools_for_chat_completions():
provider = OpenAIProvider(api_key="test")
client = _OpenAIClient()
provider.client = client
provider.generate(LLMInput(messages=[Message(role=Role.USER, content="hi")], tools=[_tool()]))
assert client.completions.params["tools"] == [
{
"type": "function",
"function": {
"name": "search",
"description": "Search",
"parameters": {"type": "object", "properties": {"query": {"type": "string"}}},
"strict": True,
},
}
]
def test_claude_provider_serializes_tools_for_messages_api():
provider = ClaudeProvider(api_key="test")
client = _AnthropicClient()
provider.client = client
provider.generate(LLMInput(messages=[Message(role=Role.USER, content="hi")], tools=[_tool()]))
assert client.messages.params["tools"] == [
{
"name": "search",
"description": "Search",
"input_schema": {"type": "object", "properties": {"query": {"type": "string"}}},
}
]