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Add support for streaming and fixes few issues (see description) (#202)

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José Ulises Niño Rivera 2024-10-28 20:05:06 -04:00 • committed by GitHub
parent 29ff8da60f
commit 662a840ac5
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45 changed files with 2266 additions and 477 deletions
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7
e2e_tests/.vscode/settings.json vendored Normal file
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{
"python.testing.pytestArgs": [
"."
],
"python.testing.unittestEnabled": false,
"python.testing.pytestEnabled": true
}

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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 function_calling 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 function_calling 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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e2e_tests/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"
)
LLM_GATEWAY_ENDPOINT = os.getenv(
"LLM_GATEWAY_ENDPOINT", "http://localhost:12000/v1/chat/completions"
)
ARCH_STATE_HEADER = "x-arch-state"
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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e2e_tests/common_scripts.sh Normal file
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#!/bin/bash
log() {
timestamp=$(date +"%Y-%m-%d %H:%M:%S")
message="$*"
echo "$timestamp: $message"
}
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
sleep $sleep_between
done
}

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e2e_tests/poetry.lock generated Normal file
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pytest = ">=6.2.0"
termcolor = ">=2.1.0"
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dev = ["black", "flake8", "pre-commit"]
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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 = "4.25.0"
description = "Official Python bindings for Selenium WebDriver"
optional = false
python-versions = ">=3.8"
files = [
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trio-websocket = ">=0.9,<1.0"
typing_extensions = ">=4.9,<5.0"
urllib3 = {version = ">=1.26,<3", extras = ["socks"]}
websocket-client = ">=1.8,<2.0"
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name = "sniffio"
version = "1.3.1"
description = "Sniff out which async library your code is running under"
optional = false
python-versions = ">=3.7"
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python-versions = ">=3.8"
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name = "trio"
version = "0.27.0"
description = "A friendly Python library for async concurrency and I/O"
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python-versions = ">=3.8"
files = [
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attrs = ">=23.2.0"
cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name != \"pypy\""}
exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
idna = "*"
outcome = "*"
sniffio = ">=1.3.0"
sortedcontainers = "*"
[[package]]
name = "trio-websocket"
version = "0.11.1"
description = "WebSocket library for Trio"
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trio = ">=0.11"
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h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
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h11 = ">=0.9.0,<1"
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lock-version = "2.0"
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23
e2e_tests/pyproject.toml Normal file
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@ -0,0 +1,23 @@
[tool.poetry]
name = "e2e_tests"
version = "0.0.1"
description = "e2e tests for prompt and llm gateway"
authors = ["Katanemo Labs, Inc <archgw@katanemo.com>"]
license = "Apache 2.0"
readme = "README.md"
package-mode = false
[tool.poetry.dependencies]
python = "^3.10"
pytest = "^7.3.1"
requests = "^2.29.0"
selenium = "^4.11.2"
pytest-sugar = "^1.0.0"
deepdiff = "^8.0.1"
[tool.poetry.dev-dependencies]
pytest-cov = "^4.1.0"
[tool.pytest.ini_options]
python_files = ["test*.py"]
addopts = ["-v", "-s"]

80
e2e_tests/run_e2e_tests.sh Normal file
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#/bin/bash
# if any of the commands fail, the script will exit
set -e
. ./common_scripts.sh
print_debug() {
log "Received signal to stop"
log "Printing debug logs for model_server"
log "===================================="
tail -n 500 ~/archgw_logs/modelserver.log
log "Printing debug logs for docker"
log "===================================="
tail -n 500 ../build.log
}
trap 'print_debug' INT TERM ERR
log starting > ../build.log
log building function_callling demo
log ===============================
cd ../demos/function_calling
docker compose build -q
log starting the function_calling demo
docker compose up -d
cd -
log building model server
log =====================
cd ../model_server
poetry install 2>&1 >> ../build.log
log starting model server
log =====================
mkdir -p ~/archgw_logs
touch ~/archgw_logs/modelserver.log
poetry run archgw_modelserver restart &
tail -F ~/archgw_logs/modelserver.log &
model_server_tail_pid=$!
cd -
log building llm and prompt gateway rust modules
log ============================================
cd ../arch
docker build -f Dockerfile .. -t katanemo/archgw -q
log starting the arch gateway service
log =================================
docker compose -f docker-compose.e2e.yaml down
log waiting for model service to be healthy
wait_for_healthz "http://localhost:51000/healthz" 300
kill $model_server_tail_pid
docker compose -f docker-compose.e2e.yaml up -d
log waiting for arch gateway service to be healthy
wait_for_healthz "http://localhost:10000/healthz" 60
log waiting for arch gateway service to be healthy
cd -
log running e2e tests
log =================
poetry install 2>&1 >> ../build.log
poetry run pytest
log shutting down the arch gateway service
log ======================================
cd ../arch
docker compose -f docker-compose.e2e.yaml stop 2>&1 >> ../build.log
cd -
log shutting down the function_calling demo
log =======================================
cd ../demos/function_calling
docker compose down 2>&1 >> ../build.log
cd -
log shutting down the model server
log ==============================
cd ../model_server
poetry run archgw_modelserver stop 2>&1 >> ../build.log
cd -

36
e2e_tests/test_llm_gateway.py Normal file
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import json
import pytest
import requests
from common import LLM_GATEWAY_ENDPOINT, get_data_chunks
# test default llm
@pytest.mark.parametrize("stream", [True, False])
@pytest.mark.parametrize("provider_hint", [None, "gpt-3.5-turbo-0125"])
def test_hello_llm_gateway_llm(stream, provider_hint):
expected_llm = "gpt-4o-mini-2024-07-18" if provider_hint is None else provider_hint
body = {
"messages": [
{
"role": "user",
"content": "hello",
}
],
"stream": stream,
}
headers = {}
if provider_hint:
headers["x-arch-llm-provider-hint"] = provider_hint
response = requests.post(
LLM_GATEWAY_ENDPOINT, json=body, stream=stream, headers=headers
)
assert response.status_code == 200
if stream:
chunks = get_data_chunks(response)
assert len(chunks) > 0
response_json = json.loads(chunks[0])
assert response_json.get("model") == expected_llm
else:
response_json = response.json()
assert response_json.get("model") == expected_llm

262
e2e_tests/test_prompt_gateway.py Normal file
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import json
import pytest
import requests
from deepdiff import DeepDiff
from common import PROMPT_GATEWAY_ENDPOINT, get_arch_messages, get_data_chunks
@pytest.mark.parametrize("stream", [True, False])
def test_prompt_gateway(stream):
expected_tool_call = {
"name": "weather_forecast",
"arguments": {"city": "seattle", "days": 10},
}
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)
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])
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
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 "Could you provide the following details days" not in message
@pytest.mark.parametrize("stream", [True, False])
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) > 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
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 "Could you provide the following details days" in message
@pytest.mark.parametrize("stream", [True, False])
def test_prompt_gateway_param_tool_call(stream):
expected_tool_call = {
"name": "weather_forecast",
"arguments": {"city": "seattle", "days": 2},
}
body = {
"messages": [
{
"role": "user",
"content": "how is the weather in seattle",
},
{
"role": "assistant",
"content": "Could you provide the following details days ?",
"model": "Arch-Function-1.5B",
},
{
"role": "user",
"content": "2 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)
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])
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 or insurance claim details"
)
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 or insurance claim details"
)