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Use intent model from archfc to pick prompt gateway (#328)

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Shuguang Chen 2024-12-20 13:25:01 -08:00 • committed by GitHub
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tests/e2e/README.md Normal file
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# e2e tests
e2e tests for arch llm gateway and prompt gateway
To be able to run e2e tests successfully run_e2e_script prepares environment in following way,
1. build and start weather_forecast demo (using docker compose)
1. build, install and start model server async (using poetry)
1. build and start arch gateway (using docker compose)
1. wait for model server to be ready
1. wait for arch gateway to be ready
1. start e2e tests (using poetry)
1. runs llm gateway tests for llm routing
2. runs prompt gateway tests to test function calling, parameter gathering and summarization
2. cleanup
1. stops arch gateway
2. stops model server
3. stops weather_forecast demo
## How to run
To run locally make sure that following requirements are met.
### Requirements
- Python 3.10
- Poetry
- Docker
### Running tests locally
```sh
sh run_e2e_test.sh
```

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tests/e2e/common.py Normal file
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import json
import os
PROMPT_GATEWAY_ENDPOINT = os.getenv(
"PROMPT_GATEWAY_ENDPOINT", "http://localhost:10000/v1/chat/completions"
)
PROMPT_GATEWAY_PATH = os.getenv("PROMPT_GATEWAY_PATH", "/v1/chat/completions")
MODEL_SERVER_FUNC_PATH = os.getenv("MODEL_SERVER_FUNC_PATH", "/function_calling")
LLM_GATEWAY_ENDPOINT = os.getenv(
"LLM_GATEWAY_ENDPOINT", "http://localhost:12000/v1/chat/completions"
)
ARCH_STATE_HEADER = "x-arch-state"
PREFILL_LIST = [
"May",
"Could",
"Sure",
"Definitely",
"Certainly",
"Of course",
"Can",
]
TEST_CASE_FIXTURES = {
"SIMPLE": {
"input": {
"messages": [
{
"role": "user",
"content": "how is the weather in seattle for next 2 days",
}
]
},
"model_server_response": {
"id": 0,
"object": "chat_completion",
"created": "",
"choices": [
{
"id": 0,
"message": {
"role": "",
"content": "",
"tool_call_id": "",
"tool_calls": [
{
"id": "call_6009",
"type": "function",
"function": {
"name": "get_current_weather",
"arguments": {
"location": "Seattle, WA",
"days": "2",
},
},
}
],
},
"finish_reason": "stop",
}
],
"model": "Arch-Function",
"metadata": {"intent_latency": "455.092", "function_latency": "312.744"},
},
"api_server_response": [
{
"date": "2024-12-12",
"temperature": {"min": 72, "max": 90},
"units": "Farenheit",
"query_time": "2024-12-12 22:06:30.420319+00:00",
},
{
"date": "2024-12-13",
"temperature": {"min": 52, "max": 70},
"units": "Farenheit",
"query_time": "2024-12-12 22:06:30.420349+00:00",
},
],
}
}
def get_data_chunks(stream, n=1):
chunks = []
for chunk in stream.iter_lines():
if chunk:
chunk = chunk.decode("utf-8")
chunk_data_id = chunk[0:6]
assert chunk_data_id == "data: "
chunk_data = chunk[6:]
chunk_data = chunk_data.strip()
chunks.append(chunk_data)
if len(chunks) >= n:
break
return chunks
def get_arch_messages(response_json):
arch_messages = []
if response_json and "metadata" in response_json:
# load arch_state from metadata
arch_state_str = response_json.get("metadata", {}).get(ARCH_STATE_HEADER, "{}")
# parse arch_state into json object
arch_state = json.loads(arch_state_str)
# load messages from arch_state
arch_messages_str = arch_state.get("messages", "[]")
# parse messages into json object
arch_messages = json.loads(arch_messages_str)
# append messages from arch gateway to history
return arch_messages
return []

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tests/e2e/common_scripts.sh Normal file
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#!/bin/bash
log() {
timestamp=$(date +"%Y-%m-%d %H:%M:%S")
message="$*"
echo "$timestamp: $message"
}
print_disk_usage() {
echo free disk space
df -h | grep "/$"
}
wait_for_healthz() {
local healthz_url="$1"
local timeout_seconds="${2:-30}" # Default timeout of 30 seconds
local sleep_between="${3:-5}" # Default sleep of 5 seconds
local start_time=$(date +%s)
while true; do
local response_code=$(curl -s -o /dev/null -w "%{http_code}" "$healthz_url")
log "Healthz endpoint $healthz_url response code: $response_code"
if [[ "$response_code" -eq 200 ]]; then
log "Healthz endpoint is healthy. Proceeding..."
return 0
fi
local elapsed_time=$(( $(date +%s) - $start_time ))
if [[ $elapsed_time -ge $timeout_seconds ]]; then
log "Timeout reached. Healthz endpoint is still unhealthy. Exiting..."
return 1
fi
print_disk_usage
sleep $sleep_between
done
}

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tests/e2e/docker-compose.yaml Normal file
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services:
archgw:
image: katanemo/archgw:latest
ports:
- "10000:10000"
- "10001:10001"
- "11000:11000"
- "12000:12000"
- "19901:9901"
volumes:
- ../../demos/weather_forecast/arch_config.yaml:/app/arch_config.yaml
- /etc/ssl/cert.pem:/etc/ssl/cert.pem
- ~/archgw_logs:/var/log/
extra_hosts:
- "host.docker.internal:host-gateway"
environment:
- OPENAI_API_KEY=${OPENAI_API_KEY:?error}
- MISTRAL_API_KEY=${MISTRAL_API_KEY:?error}
- OTEL_TRACING_HTTP_ENDPOINT=http://host.docker.internal:4318/v1/traces
- MODEL_SERVER_PORT=${MODEL_SERVER_PORT:-51000}

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dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
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pytest = ">=4.6"
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testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
[[package]]
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pytest = ">=6.2.0"
termcolor = ">=2.1.0"
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dev = ["black", "flake8", "pre-commit"]
[[package]]
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python-versions = ">=3.8"
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charset-normalizer = ">=2,<4"
idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<3"
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socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "selenium"
version = "4.27.1"
description = "Official Python bindings for Selenium WebDriver"
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python-versions = ">=3.8"
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python-versions = ">=3.8"
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cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name != \"pypy\""}
idna = "*"
outcome = "*"
sniffio = ">=1.3.0"
sortedcontainers = "*"
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test = ["websockets"]
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h11 = ">=0.9.0,<1"
[metadata]
lock-version = "2.0"
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content-hash = "f52803b5290905f3958defcb44ab9478469e8a7c14ec3d16594d13427efa4444"

27
tests/e2e/pyproject.toml Normal file
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@ -0,0 +1,27 @@
[tool.poetry]
name = "e2e_tests"
version = "0.0.1"
description = "e2e tests for prompt and llm gateway"
authors = ["Katanemo Labs, Inc <info@katanemo.com>"]
license = "Apache 2.0"
readme = "README.md"
package-mode = false
[tool.poetry.dependencies]
python = "^3.12"
pytest = "^8.3.3"
requests = "^2.29.0"
selenium = "^4.11.2"
pytest-sugar = "^1.0.0"
deepdiff = "^8.0.1"
pytest-retry = "^1.6.3"
[tool.poetry.dev-dependencies]
pytest-cov = "^4.1.0"
[tool.pytest.ini_options]
python_files = ["test*.py"]
addopts = ["-v", "-s"]
retries = 2
retry_delay = 0.5
cumulative_timing = false

73
tests/e2e/run_e2e_tests.sh Normal file
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@ -0,0 +1,73 @@
#/bin/bash
# if any of the commands fail, the script will exit
set -e
. ./common_scripts.sh
print_disk_usage
mkdir -p ~/archgw_logs
touch ~/archgw_logs/modelserver.log
print_debug() {
log "Received signal to stop"
log "Printing debug logs for model_server"
log "===================================="
tail -n 100 ~/archgw_logs/modelserver.log
log "Printing debug logs for docker"
log "===================================="
tail -n 100 ../build.log
archgw logs --debug | tail -n 100
}
trap 'print_debug' INT TERM ERR
log starting > ../build.log
log building and running function_callling demo
log ===========================================
cd ../../demos/weather_forecast/
docker compose up weather_forecast_service --build -d
cd -
log building and install model server
log =================================
cd ../../model_server
poetry install
cd -
log building and installing archgw cli
log ==================================
cd ../../arch/tools
poetry install
cd -
log building docker image for arch gateway
log ======================================
cd ../../
archgw build
cd -
log startup arch gateway with function calling demo
cd ../../
tail -F ~/archgw_logs/modelserver.log &
model_server_tail_pid=$!
archgw down
archgw up demos/weather_forecast/arch_config.yaml
kill $model_server_tail_pid
cd -
log running e2e tests
log =================
poetry install
poetry run pytest
log shutting down the arch gateway service
log ======================================
archgw down
log shutting down the weather_forecast demo
log =======================================
cd ../../demos/weather_forecast
docker compose down
cd -

331
tests/e2e/test_prompt_gateway.py Normal file
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@ -0,0 +1,331 @@
import json
import pytest
import requests
from deepdiff import DeepDiff
from common import (
PROMPT_GATEWAY_ENDPOINT,
PREFILL_LIST,
get_arch_messages,
get_data_chunks,
)
@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"
tool_calls = choices[0].get("delta", {}).get("tool_calls", [])
assert len(tool_calls) > 0
tool_call = tool_calls[0]["function"]
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-mini")
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-mini")
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"]
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-mini")
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-mini")
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])
@pytest.mark.skip("no longer needed")
def test_prompt_gateway_default_target(stream):
body = {
"messages": [
{
"role": "user",
"content": "hello, what can you do for me?",
},
],
"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])
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])
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()
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."
)