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add support for v1/messages and transformations (#558)

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* pushing draft PR

* transformations are working. Now need to add some tests next

* updated tests and added necessary response transformations for Anthropics' message response object

* fixed bugs for integration tests

* fixed doc tests

* fixed serialization issues with enums on response

* adding some debug logs to help

* fixed issues with non-streaming responses

* updated the stream_context to update response bytes

* the serialized bytes length must be set in the response side

* fixed the debug statement that was causing the integration tests for wasm to fail

* fixing json parsing errors

* intentionally removing the headers

* making sure that we convert the raw bytes to the correct provider type upstream

* fixing non-streaming responses to tranform correctly

* /v1/messages works with transformations to and from /v1/chat/completions

* updating the CLI and demos to support anthropic vs. claude

* adding the anthropic key to the preference based routing tests

* fixed test cases and added more structured logs

* fixed integration tests and cleaned up logs

* added python client tests for anthropic and openai

* cleaned up logs and fixed issue with connectivity for llm gateway in weather forecast demo

* fixing the tests. python dependency order was broken

* updated the openAI client to fix demos

* removed the raw response debug statement

* fixed the dup cloning issue and cleaned up the ProviderRequestType enum and traits

* fixing logs

* moved away from string literals to consts

* fixed streaming from Anthropic Client to OpenAI

* removed debug statement that would likely trip up integration tests

* fixed integration tests for llm_gateway

* cleaned up test cases and removed unnecessary crates

* fixing comments from PR

* fixed bug whereby we were sending an OpenAIChatCompletions request object to llm_gateway even though the request may have been AnthropicMessages

---------

Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-4.local>
Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-9.local>
Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-10.local>
Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-41.local>
Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-136.local>
This commit is contained in:
Salman Paracha 2025-09-10 07:40:30 -07:00 • committed by GitHub
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38 changed files with 2842 additions and 919 deletions
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1
tests/e2e/docker-compose.yaml
View file

@ -16,5 +16,6 @@ services:
environment:
- OPENAI_API_KEY=${OPENAI_API_KEY:?error}
- MISTRAL_API_KEY=${MISTRAL_API_KEY:?error}
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:?error}
- OTEL_TRACING_HTTP_ENDPOINT=http://host.docker.internal:4318/v1/traces
- MODEL_SERVER_PORT=${MODEL_SERVER_PORT:-51000}

462
tests/e2e/poetry.lock generated
View file

@ -1,4 +1,63 @@
# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
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@ -305,6 +372,7 @@ version = "8.2.0"
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files = [
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{file = "pytest-8.3.5.tar.gz", hash = "sha256:f4efe70cc14e511565ac476b57c279e12a855b11f48f212af1080ef2263d3845"},
@ -469,6 +858,7 @@ version = "4.1.0"
description = "Pytest plugin for measuring coverage."
optional = false
python-versions = ">=3.7"
groups = ["dev"]
files = [
{file = "pytest-cov-4.1.0.tar.gz", hash = "sha256:3904b13dfbfec47f003b8e77fd5b589cd11904a21ddf1ab38a64f204d6a10ef6"},
{file = "pytest_cov-4.1.0-py3-none-any.whl", hash = "sha256:6ba70b9e97e69fcc3fb45bfeab2d0a138fb65c4d0d6a41ef33983ad114be8c3a"},
@ -487,6 +877,7 @@ version = "1.7.0"
description = "Adds the ability to retry flaky tests in CI environments"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
{file = "pytest_retry-1.7.0-py3-none-any.whl", hash = "sha256:a2dac85b79a4e2375943f1429479c65beb6c69553e7dae6b8332be47a60954f4"},
{file = "pytest_retry-1.7.0.tar.gz", hash = "sha256:f8d52339f01e949df47c11ba9ee8d5b362f5824dff580d3870ec9ae0057df80f"},
@ -504,6 +895,7 @@ version = "1.0.0"
description = "pytest-sugar is a plugin for pytest that changes the default look and feel of pytest (e.g. progressbar, show tests that fail instantly)."
optional = false
python-versions = "*"
groups = ["main"]
files = [
{file = "pytest-sugar-1.0.0.tar.gz", hash = "sha256:6422e83258f5b0c04ce7c632176c7732cab5fdb909cb39cca5c9139f81276c0a"},
{file = "pytest_sugar-1.0.0-py3-none-any.whl", hash = "sha256:70ebcd8fc5795dc457ff8b69d266a4e2e8a74ae0c3edc749381c64b5246c8dfd"},
@ -523,6 +915,7 @@ version = "2.32.3"
description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
{file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
@ -544,6 +937,7 @@ version = "4.29.0"
description = "Official Python bindings for Selenium WebDriver"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
{file = "selenium-4.29.0-py3-none-any.whl", hash = "sha256:ce5d26f1ddc1111641113653af33694c13947dd36c2df09cdd33f554351d372e"},
{file = "selenium-4.29.0.tar.gz", hash = "sha256:3a62f7ec33e669364a6c0562a701deb69745b569c50d55f1a912bf8eb33358ba"},
@ -563,6 +957,7 @@ version = "1.3.1"
description = "Sniff out which async library your code is running under"
optional = false
python-versions = ">=3.7"
groups = ["main"]
files = [
{file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
{file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@ -574,6 +969,7 @@ version = "2.4.0"
description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
optional = false
python-versions = "*"
groups = ["main"]
files = [
{file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
{file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
@ -585,6 +981,7 @@ version = "2.5.0"
description = "ANSI color formatting for output in terminal"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
{file = "termcolor-2.5.0-py3-none-any.whl", hash = "sha256:37b17b5fc1e604945c2642c872a3764b5d547a48009871aea3edd3afa180afb8"},
{file = "termcolor-2.5.0.tar.gz", hash = "sha256:998d8d27da6d48442e8e1f016119076b690d962507531df4890fcd2db2ef8a6f"},
@ -599,6 +996,7 @@ version = "2.2.1"
description = "A lil' TOML parser"
optional = false
python-versions = ">=3.8"
groups = ["main", "dev"]
files = [
{file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
{file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@ -633,6 +1031,29 @@ files = [
{file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"},
{file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
]
markers = {main = "python_version == \"3.10\"", dev = "python_full_version <= \"3.11.0a6\""}
[[package]]
name = "tqdm"
version = "4.67.1"
description = "Fast, Extensible Progress Meter"
optional = false
python-versions = ">=3.7"
groups = ["main"]
files = [
{file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
{file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
]
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
[package.extras]
dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
discord = ["requests"]
notebook = ["ipywidgets (>=6)"]
slack = ["slack-sdk"]
telegram = ["requests"]
[[package]]
name = "trio"
@ -640,6 +1061,7 @@ version = "0.29.0"
description = "A friendly Python library for async concurrency and I/O"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
{file = "trio-0.29.0-py3-none-any.whl", hash = "sha256:d8c463f1a9cc776ff63e331aba44c125f423a5a13c684307e828d930e625ba66"},
{file = "trio-0.29.0.tar.gz", hash = "sha256:ea0d3967159fc130acb6939a0be0e558e364fee26b5deeecc893a6b08c361bdf"},
@ -660,6 +1082,7 @@ version = "0.12.2"
description = "WebSocket library for Trio"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "trio_websocket-0.12.2-py3-none-any.whl", hash = "sha256:df605665f1db533f4a386c94525870851096a223adcb97f72a07e8b4beba45b6"},
{file = "trio_websocket-0.12.2.tar.gz", hash = "sha256:22c72c436f3d1e264d0910a3951934798dcc5b00ae56fc4ee079d46c7cf20fae"},
@ -677,17 +1100,34 @@ version = "4.12.2"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
[[package]]
name = "typing-inspection"
version = "0.4.1"
description = "Runtime typing introspection tools"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
{file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"},
{file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"},
]
[package.dependencies]
typing-extensions = ">=4.12.0"
[[package]]
name = "urllib3"
version = "2.3.0"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
{file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
{file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
@ -697,7 +1137,7 @@ files = [
pysocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""}
[package.extras]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
@ -708,6 +1148,7 @@ version = "1.8.0"
description = "WebSocket client for Python with low level API options"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
{file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
@ -724,6 +1165,7 @@ version = "1.2.0"
description = "WebSockets state-machine based protocol implementation"
optional = false
python-versions = ">=3.7.0"
groups = ["main"]
files = [
{file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
{file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
@ -733,6 +1175,6 @@ files = [
h11 = ">=0.9.0,<1"
[metadata]
lock-version = "2.0"
lock-version = "2.1"
python-versions = "^3.10"
content-hash = "a40015b90325879e50f82cca6a26a730d763cad26589671df798832d41c42db3"
content-hash = "11665d36dc4efcfa5bebf8c7005808ff752bd3c62f6570c21d9cbce4b7f2e2ee"

2
tests/e2e/pyproject.toml
View file

@ -15,6 +15,8 @@ selenium = "^4.11.2"
pytest-sugar = "^1.0.0"
deepdiff = "^8.0.1"
pytest-retry = "^1.6.3"
anthropic = "^0.66.0"
openai = "^1.0.0"
[tool.poetry.dev-dependencies]
pytest-cov = "^4.1.0"

4
tests/e2e/run_e2e_tests.sh
View file

@ -48,6 +48,9 @@ cd ../../
archgw build
cd -
# Once we build archgw we have to install the dependencies again to a new virtual environment.
poetry install
log startup arch gateway with function calling demo
cd ../../
tail -F ~/archgw_logs/modelserver.log &
@ -59,7 +62,6 @@ cd -
log running e2e tests
log =================
poetry install
poetry run pytest
log shutting down the arch gateway service

178
tests/e2e/test_prompt_gateway.py
View file

@ -3,9 +3,12 @@ import pytest
import requests
from deepdiff import DeepDiff
import re
import anthropic
import openai
from common import (
PROMPT_GATEWAY_ENDPOINT,
LLM_GATEWAY_ENDPOINT,
PREFILL_LIST,
get_arch_messages,
get_data_chunks,
@ -352,3 +355,178 @@ def test_prompt_gateway_prompt_guard_jailbreak(stream):
response_json.get("choices")[0]["message"]["content"]
== "Looks like you're curious about my abilities, but I can only provide assistance for weather forecasting."
)
def test_claude_v1_messages_api():
"""Test Claude client using /v1/messages API through llm_gateway (port 12000)"""
# Get the base URL from the LLM gateway endpoint
base_url = LLM_GATEWAY_ENDPOINT.replace("/v1/chat/completions", "")
client = anthropic.Anthropic(
api_key="test-key", base_url=base_url # Dummy key for testing
)
message = client.messages.create(
model="claude-sonnet-4-20250514", # Use working model from smoke test
max_tokens=50,
messages=[
{
"role": "user",
"content": "Hello, please respond with exactly: Hello from Claude!",
}
],
)
assert message.content[0].text == "Hello from Claude!"
def test_claude_v1_messages_api_streaming():
base_url = LLM_GATEWAY_ENDPOINT.replace("/v1/chat/completions", "")
client = anthropic.Anthropic(api_key="test-key", base_url=base_url)
with client.messages.stream(
model="claude-sonnet-4-20250514",
max_tokens=50,
messages=[
{
"role": "user",
"content": "Hello, please respond with exactly: Hello from Claude!",
}
],
) as stream:
# This yields only text deltas in order
pieces = [t for t in stream.text_stream]
full_text = "".join(pieces)
# You can also get the fully-assembled Message object
final = stream.get_final_message()
# A safe way to reassemble text from the content blocks:
final_text = "".join(b.text for b in final.content if b.type == "text")
assert full_text == "Hello from Claude!"
assert final_text == "Hello from Claude!"
def test_anthropic_client_with_openai_model_streaming():
"""Test Anthropic client using /v1/messages API with OpenAI model (gpt-4o-mini)
This tests the transformation: OpenAI upstream -> Anthropic client format with proper event lines
"""
base_url = LLM_GATEWAY_ENDPOINT.replace("/v1/chat/completions", "")
client = anthropic.Anthropic(api_key="test-key", base_url=base_url)
with client.messages.stream(
model="gpt-4o-mini", # OpenAI model via Anthropic client
max_tokens=50,
messages=[
{
"role": "user",
"content": "Hello, please respond with exactly: Hello from GPT-4o-mini via Anthropic!",
}
],
) as stream:
# This yields only text deltas in order
pieces = [t for t in stream.text_stream]
full_text = "".join(pieces)
# You can also get the fully-assembled Message object
final = stream.get_final_message()
# A safe way to reassemble text from the content blocks:
final_text = "".join(b.text for b in final.content if b.type == "text")
assert full_text == "Hello from GPT-4o-mini via Anthropic!"
assert final_text == "Hello from GPT-4o-mini via Anthropic!"
def test_openai_gpt4o_mini_v1_messages_api():
"""Test OpenAI GPT-4o-mini using /v1/chat/completions API through llm_gateway (port 12000)"""
# Get the base URL from the LLM gateway endpoint
base_url = LLM_GATEWAY_ENDPOINT.replace("/v1/chat/completions", "")
client = openai.OpenAI(
api_key="test-key", # Dummy key for testing
base_url=f"{base_url}/v1", # OpenAI needs /v1 suffix in base_url
)
completion = client.chat.completions.create(
model="gpt-4o-mini",
max_tokens=50,
messages=[
{
"role": "user",
"content": "Hello, please respond with exactly: Hello from GPT-4o-mini!",
}
],
)
assert completion.choices[0].message.content == "Hello from GPT-4o-mini!"
def test_openai_gpt4o_mini_v1_messages_api_streaming():
"""Test OpenAI GPT-4o-mini using /v1/chat/completions API with streaming through llm_gateway (port 12000)"""
# Get the base URL from the LLM gateway endpoint
base_url = LLM_GATEWAY_ENDPOINT.replace("/v1/chat/completions", "")
client = openai.OpenAI(
api_key="test-key", # Dummy key for testing
base_url=f"{base_url}/v1", # OpenAI needs /v1 suffix in base_url
)
stream = client.chat.completions.create(
model="gpt-4o-mini",
max_tokens=50,
messages=[
{
"role": "user",
"content": "Hello, please respond with exactly: Hello from GPT-4o-mini!",
}
],
stream=True,
)
# Collect all the streaming chunks
content_chunks = []
for chunk in stream:
if chunk.choices[0].delta.content:
content_chunks.append(chunk.choices[0].delta.content)
# Reconstruct the full message
full_content = "".join(content_chunks)
assert full_content == "Hello from GPT-4o-mini!"
def test_openai_client_with_claude_model_streaming():
"""Test OpenAI client using /v1/chat/completions API with Claude model (claude-sonnet-4-20250514)
This tests the transformation: Anthropic upstream -> OpenAI client format with proper chunk handling
"""
# Get the base URL from the LLM gateway endpoint
base_url = LLM_GATEWAY_ENDPOINT.replace("/v1/chat/completions", "")
client = openai.OpenAI(
api_key="test-key", # Dummy key for testing
base_url=f"{base_url}/v1", # OpenAI needs /v1 suffix in base_url
)
stream = client.chat.completions.create(
model="claude-sonnet-4-20250514", # Claude model via OpenAI client
max_tokens=50,
messages=[
{
"role": "user",
"content": "Who are you? ALWAYS RESPOND WITH:I appreciate the request, but I should clarify that I'm Claude, made by Anthropic, not OpenAI. I don't want to create confusion about my origins.",
}
],
stream=True,
temperature=0.1,
)
# Collect all the streaming chunks
content_chunks = []
for chunk in stream:
if chunk.choices[0].delta.content:
content_chunks.append(chunk.choices[0].delta.content)
# Reconstruct the full message
full_content = "".join(content_chunks)
assert full_content is not None