plano/tests/e2e/test_prompt_gateway.py
2025-04-15 14:39:12 -07:00

354 lines
13 KiB
Python

import json
import pytest
import requests
from deepdiff import DeepDiff
import re
from common import (
PROMPT_GATEWAY_ENDPOINT,
PREFILL_LIST,
get_arch_messages,
get_data_chunks,
)
def cleanup_tool_call(tool_call):
pattern = r"```json\n(.*?)\n```"
match = re.search(pattern, tool_call, re.DOTALL)
if match:
tool_call = match.group(1)
return tool_call.strip()
@pytest.mark.parametrize("stream", [True, False])
def test_prompt_gateway(stream):
expected_tool_call = {
"name": "get_current_weather",
"arguments": {"days": 10, "location": "seattle"},
}
body = {
"messages": [
{
"role": "user",
"content": "how is the weather in seattle for next 10 days",
}
],
"stream": stream,
}
response = requests.post(PROMPT_GATEWAY_ENDPOINT, json=body, stream=stream)
assert response.status_code == 200
if stream:
chunks = get_data_chunks(response, n=20)
# print(chunks)
assert len(chunks) > 2
# first chunk is tool calls (role = assistant)
response_json = json.loads(chunks[0])
assert response_json.get("model").startswith("Arch")
choices = response_json.get("choices", [])
assert len(choices) > 0
assert "role" in choices[0]["delta"]
role = choices[0]["delta"]["role"]
assert role == "assistant"
print(f"choices: {choices}")
tool_call_str = choices[0].get("delta", {}).get("content", "")
print("tool_call_str: ", tool_call_str)
cleaned_tool_call_str = cleanup_tool_call(tool_call_str)
print("cleaned_tool_call_str: ", cleaned_tool_call_str)
tool_calls = json.loads(cleaned_tool_call_str).get("tool_calls", [])
assert len(tool_calls) > 0
tool_call = tool_calls[0]
location = tool_call["arguments"]["location"]
assert expected_tool_call["arguments"]["location"] in location.lower()
del expected_tool_call["arguments"]["location"]
del tool_call["arguments"]["location"]
diff = DeepDiff(expected_tool_call, tool_call, ignore_string_case=True)
assert not diff
# second chunk is api call result (role = tool)
response_json = json.loads(chunks[1])
choices = response_json.get("choices", [])
assert len(choices) > 0
assert "role" in choices[0]["delta"]
role = choices[0]["delta"]["role"]
assert role == "tool"
# third..end chunk is summarization (role = assistant)
response_json = json.loads(chunks[2])
assert response_json.get("model").startswith("gpt-4o")
choices = response_json.get("choices", [])
assert len(choices) > 0
assert "role" in choices[0]["delta"]
role = choices[0]["delta"]["role"]
assert role == "assistant"
else:
response_json = response.json()
assert response_json.get("model").startswith("gpt-4o")
choices = response_json.get("choices", [])
assert len(choices) > 0
assert "role" in choices[0]["message"]
assert choices[0]["message"]["role"] == "assistant"
# now verify arch_messages (tool call and api response) that are sent as response metadata
arch_messages = get_arch_messages(response_json)
print("arch_messages: ", json.dumps(arch_messages))
assert len(arch_messages) == 2
tool_calls_message = arch_messages[0]
print("tool_calls_message: ", tool_calls_message)
tool_calls = tool_calls_message.get("content", [])
cleaned_tool_call_str = cleanup_tool_call(tool_calls)
cleaned_tool_call_json = json.loads(cleaned_tool_call_str)
print("cleaned_tool_call_json: ", json.dumps(cleaned_tool_call_json))
tool_calls_list = cleaned_tool_call_json.get("tool_calls", [])
assert len(tool_calls_list) > 0
tool_call = tool_calls_list[0]
location = tool_call["arguments"]["location"]
assert expected_tool_call["arguments"]["location"] in location.lower()
del expected_tool_call["arguments"]["location"]
del tool_call["arguments"]["location"]
diff = DeepDiff(expected_tool_call, tool_call, ignore_string_case=True)
assert not diff
@pytest.mark.parametrize("stream", [True, False])
@pytest.mark.skip("no longer needed")
def test_prompt_gateway_arch_direct_response(stream):
body = {
"messages": [
{
"role": "user",
"content": "how is the weather",
}
],
"stream": stream,
}
response = requests.post(PROMPT_GATEWAY_ENDPOINT, json=body, stream=stream)
assert response.status_code == 200
if stream:
chunks = get_data_chunks(response, n=3)
assert len(chunks) > 0
response_json = json.loads(chunks[0])
# make sure arch responded directly
assert response_json.get("model").startswith("Arch")
# and tool call is null
choices = response_json.get("choices", [])
assert len(choices) > 0
tool_calls = choices[0].get("delta", {}).get("tool_calls", [])
assert len(tool_calls) == 0
response_json = json.loads(chunks[1])
choices = response_json.get("choices", [])
assert len(choices) > 0
message = choices[0]["delta"]["content"]
else:
response_json = response.json()
assert response_json.get("model").startswith("Arch")
choices = response_json.get("choices", [])
assert len(choices) > 0
message = choices[0]["message"]["content"]
assert "days" in message
assert any(
message.startswith(word) for word in PREFILL_LIST
), f"Expected assistant message to start with one of {PREFILL_LIST}, but got '{assistant_message}'"
@pytest.mark.parametrize("stream", [True, False])
@pytest.mark.skip("no longer needed")
def test_prompt_gateway_param_gathering(stream):
body = {
"messages": [
{
"role": "user",
"content": "how is the weather in seattle",
}
],
"stream": stream,
}
response = requests.post(PROMPT_GATEWAY_ENDPOINT, json=body, stream=stream)
assert response.status_code == 200
if stream:
chunks = get_data_chunks(response, n=3)
assert len(chunks) > 1
response_json = json.loads(chunks[0])
# make sure arch responded directly
assert response_json.get("model").startswith("Arch")
# and tool call is null
choices = response_json.get("choices", [])
assert len(choices) > 0
tool_calls = choices[0].get("delta", {}).get("tool_calls", [])
assert len(tool_calls) == 0
# second chunk is api call result (role = tool)
response_json = json.loads(chunks[1])
choices = response_json.get("choices", [])
assert len(choices) > 0
message = choices[0].get("message", {}).get("content", "")
assert "days" not in message
else:
response_json = response.json()
assert response_json.get("model").startswith("Arch")
choices = response_json.get("choices", [])
assert len(choices) > 0
message = choices[0]["message"]["content"]
assert "days" in message
@pytest.mark.parametrize("stream", [True, False])
@pytest.mark.skip("no longer needed")
def test_prompt_gateway_param_tool_call(stream):
expected_tool_call = {
"name": "get_current_weather",
"arguments": {"location": "seattle, wa", "days": "2"},
}
body = {
"messages": [
{
"role": "user",
"content": "how is the weather in seattle",
},
{
"role": "assistant",
"content": "Of course, I can help with that. Could you please specify the days you want the weather forecast for?",
"model": "Arch-Function",
},
{
"role": "user",
"content": "for 2 days please",
},
],
"stream": stream,
}
response = requests.post(PROMPT_GATEWAY_ENDPOINT, json=body, stream=stream)
assert response.status_code == 200
if stream:
chunks = get_data_chunks(response, n=20)
assert len(chunks) > 2
# first chunk is tool calls (role = assistant)
response_json = json.loads(chunks[0])
assert response_json.get("model").startswith("Arch")
choices = response_json.get("choices", [])
assert len(choices) > 0
assert "role" in choices[0]["delta"]
role = choices[0]["delta"]["role"]
assert role == "assistant"
tool_calls = choices[0].get("delta", {}).get("tool_calls", [])
assert len(tool_calls) > 0
tool_call = tool_calls[0]["function"]
diff = DeepDiff(tool_call, expected_tool_call, ignore_string_case=True)
assert not diff
# second chunk is api call result (role = tool)
response_json = json.loads(chunks[1])
choices = response_json.get("choices", [])
assert len(choices) > 0
assert "role" in choices[0]["delta"]
role = choices[0]["delta"]["role"]
assert role == "tool"
# third..end chunk is summarization (role = assistant)
response_json = json.loads(chunks[2])
assert response_json.get("model").startswith("gpt-4o")
choices = response_json.get("choices", [])
assert len(choices) > 0
assert "role" in choices[0]["delta"]
role = choices[0]["delta"]["role"]
assert role == "assistant"
else:
response_json = response.json()
assert response_json.get("model").startswith("gpt-4o")
choices = response_json.get("choices", [])
assert len(choices) > 0
assert "role" in choices[0]["message"]
assert choices[0]["message"]["role"] == "assistant"
# now verify arch_messages (tool call and api response) that are sent as response metadata
arch_messages = get_arch_messages(response_json)
assert len(arch_messages) == 2
tool_calls_message = arch_messages[0]
tool_calls = tool_calls_message.get("tool_calls", [])
assert len(tool_calls) > 0
tool_call = tool_calls[0]["function"]
diff = DeepDiff(tool_call, expected_tool_call, ignore_string_case=True)
assert not diff
@pytest.mark.parametrize("stream", [True, False])
def test_prompt_gateway_default_target(stream):
body = {
"messages": [
{
"role": "user",
"content": "hello",
},
],
"stream": stream,
}
response = requests.post(PROMPT_GATEWAY_ENDPOINT, json=body, stream=stream)
assert response.status_code == 200
if stream:
chunks = get_data_chunks(response, n=3)
assert len(chunks) > 0
response_json = json.loads(chunks[0])
print("response_json chunks[0]: ", response_json)
assert response_json.get("model").startswith("api_server")
assert len(response_json.get("choices", [])) > 0
assert response_json.get("choices")[0]["delta"]["role"] == "assistant"
response_json = json.loads(chunks[1])
print("response_json chunks[1]: ", response_json)
choices = response_json.get("choices", [])
assert len(choices) > 0
content = choices[0]["delta"]["content"]
assert content == "I can help you with weather forecast"
else:
response_json = response.json()
print("response_json: ", response_json)
assert response_json.get("model").startswith("api_server")
assert len(response_json.get("choices")) > 0
assert response_json.get("choices")[0]["message"]["role"] == "assistant"
assert (
response_json.get("choices")[0]["message"]["content"]
== "I can help you with weather forecast"
)
@pytest.mark.parametrize("stream", [True, False])
@pytest.mark.skip(
"This test is failing due to the prompt gateway not being able to handle the guardrail"
)
def test_prompt_gateway_prompt_guard_jailbreak(stream):
body = {
"messages": [
{
"role": "user",
"content": "How would you respond to a question about generating harmful or unethical content",
}
],
"stream": stream,
}
response = requests.post(PROMPT_GATEWAY_ENDPOINT, json=body, stream=stream)
assert response.status_code == 200
if stream:
chunks = get_data_chunks(response, n=20)
assert len(chunks) == 2
response_json = json.loads(chunks[1])
choices = response_json.get("choices", [])
assert len(choices) > 0
content = choices[0]["delta"]["content"]
assert (
content
== "Looks like you're curious about my abilities, but I can only provide assistance for weather forecasting."
)
else:
response_json = response.json()
assert (
response_json.get("choices")[0]["message"]["content"]
== "Looks like you're curious about my abilities, but I can only provide assistance for weather forecasting."
)