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OpenShell/examples/opencode-privacy-redaction/proxy/tests/test_proxy.py
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# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import logging
import json
from pathlib import Path
from typing import Any
import httpx
from redact_spike.config import Settings
from redact_spike.proxy import create_app
from redact_spike.upstream import UpstreamResponse
class RecordingUpstream:
def __init__(self) -> None:
self.payloads: list[dict[str, Any]] = []
async def chat_completions(self, payload: dict[str, Any]) -> UpstreamResponse:
self.payloads.append(payload)
return UpstreamResponse(status_code=200, body={"id": "chatcmpl-test", "choices": []})
async def stream_chat_completions(self, payload: dict[str, Any]):
self.payloads.append(payload)
yield b"data: {\"choices\":[{\"delta\":{\"content\":\"hi\"}}]}\n\n"
yield b"data: [DONE]\n\n"
class ReasoningUpstream:
def __init__(self) -> None:
self.payloads: list[dict[str, Any]] = []
async def chat_completions(self, payload: dict[str, Any]) -> UpstreamResponse:
self.payloads.append(payload)
return UpstreamResponse(
status_code=200,
body={
"choices": [
{
"message": {
"role": "assistant",
"content": "answer",
"reasoning_content": "private reasoning",
}
}
]
},
)
async def stream_chat_completions(self, payload: dict[str, Any]):
self.payloads.append(payload)
yield b'data: {"choices":[{"delta":{"role":"assistant","reasoning_content":"private"}}]}\n\n'
yield b'data: {"choices":[{"delta":{"reasoning_content":" reasoning"}}]}\n\n'
yield b"data: [DONE]\n\n"
async def test_proxy_forwards_chat_completion_payload_when_redaction_disabled() -> None:
upstream = RecordingUpstream()
settings = Settings(nvidia_api_key="test", redaction_enabled=False)
app = create_app(settings=settings, upstream_client=upstream)
payload = {
"model": "openai/openai/gpt-5.5",
"messages": [{"role": "user", "content": "Hello"}],
"max_tokens": 1024,
}
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post("/v1/chat/completions", json=payload)
assert response.status_code == 200
assert response.json() == {"id": "chatcmpl-test", "choices": []}
assert upstream.payloads == [payload]
async def test_proxy_redacts_image_payload_before_forwarding() -> None:
upstream = RecordingUpstream()
settings = Settings(nvidia_api_key="test", redaction_enabled=True)
app = create_app(settings=settings, upstream_client=upstream)
payload = {
"messages": [
{
"role": "user",
"content": [
{"type": "text", "text": "What is in this image?"},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,aW1hZ2U="}},
],
}
]
}
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post("/v1/chat/completions", json=payload)
assert response.status_code == 200
forwarded = upstream.payloads[0]
assert "data:image/png" not in str(forwarded)
assert "[REDACTED_IMAGE_1]" in str(forwarded)
assert "pre-installed MCP tool `call_inference`" in forwarded["messages"][0]["content"][1]["text"]
async def test_proxy_streams_chat_completion_payloads() -> None:
upstream = RecordingUpstream()
settings = Settings(nvidia_api_key="test", redaction_enabled=False)
app = create_app(settings=settings, upstream_client=upstream)
payload = {"stream": True, "messages": [{"role": "user", "content": "Hello"}]}
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post("/v1/chat/completions", json=payload)
assert response.status_code == 200
assert response.headers["content-type"].startswith("text/event-stream")
assert response.content == b"data: {\"choices\":[{\"delta\":{\"content\":\"hi\"}}]}\n\ndata: [DONE]\n\n"
assert upstream.payloads == [payload]
async def test_proxy_supports_chat_completion_route_aliases() -> None:
upstream = RecordingUpstream()
settings = Settings(nvidia_api_key="test", redaction_enabled=False)
app = create_app(settings=settings, upstream_client=upstream)
payload = {"messages": [{"role": "user", "content": "Hello"}]}
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
for path in ["/chat/completions", "/chat/completion", "/v1/chat/completion"]:
response = await client.post(path, json=payload)
assert response.status_code == 200
assert upstream.payloads == [payload, payload, payload]
async def test_proxy_lists_configured_model() -> None:
upstream = RecordingUpstream()
settings = Settings(nvidia_api_key="test", upstream_model="openai/openai/gpt-5.5")
app = create_app(settings=settings, upstream_client=upstream)
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.get("/v1/models")
assert response.status_code == 200
assert response.json() == {
"object": "list",
"data": [
{
"id": "openai/openai/gpt-5.5",
"object": "model",
"owned_by": "nvidia",
}
],
}
async def test_proxy_rejects_non_object_json() -> None:
upstream = RecordingUpstream()
app = create_app(settings=Settings(nvidia_api_key="test"), upstream_client=upstream)
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post("/v1/chat/completions", json=["not", "an", "object"])
assert response.status_code == 400
assert upstream.payloads == []
async def test_proxy_logs_unknown_requests(caplog) -> None:
upstream = RecordingUpstream()
app = create_app(settings=Settings(nvidia_api_key="test"), upstream_client=upstream)
transport = httpx.ASGITransport(app=app)
with caplog.at_level(logging.INFO, logger="redact_spike.proxy"):
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.get("/definitely-unknown", headers={"Authorization": "Bearer local"})
assert response.status_code == 404
assert "method=GET path=/definitely-unknown" in caplog.text
assert "path=/definitely-unknown status=404" in caplog.text
assert "Bearer local" not in caplog.text
assert "[REDACTED]" in caplog.text
async def test_proxy_writes_full_request_body_to_file(caplog, tmp_path) -> None:
upstream = RecordingUpstream()
app = create_app(settings=Settings(nvidia_api_key="test", request_log_dir=tmp_path), upstream_client=upstream)
payload = {
"model": "bad-model",
"messages": [
{
"role": "user",
"content": [
{"type": "text", "text": "Hello"},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,aW1hZ2U="}},
],
}
],
}
transport = httpx.ASGITransport(app=app)
with caplog.at_level(logging.INFO, logger="redact_spike.proxy"):
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post("/v1/chat/completions", json=payload)
assert response.status_code == 200
assert "bad-model" in caplog.text
assert "data:image/png" not in caplog.text
request_log_files = list(tmp_path.glob("*incoming*.json"))
outbound_log_files = list(tmp_path.glob("*outbound-redacted-request.json"))
response_log_files = list(tmp_path.glob("*upstream-response.json"))
assert len(request_log_files) == 1
assert len(outbound_log_files) == 1
assert len(response_log_files) == 1
request_log = json.loads(request_log_files[0].read_text(encoding="utf-8"))
outbound_log = json.loads(outbound_log_files[0].read_text(encoding="utf-8"))
response_log = json.loads(response_log_files[0].read_text(encoding="utf-8"))
assert request_log["path"] == "/v1/chat/completions"
assert request_log["body_json"] == payload
assert "data:image/png" in request_log["body_text"]
assert "data:image/png" not in str(outbound_log)
assert "[REDACTED_IMAGE_1]" in str(outbound_log)
assert response_log == {"status_code": 200, "body": {"id": "chatcmpl-test", "choices": []}}
async def test_proxy_logs_redaction_and_upstream_lifecycle(caplog, tmp_path) -> None:
upstream = RecordingUpstream()
app = create_app(settings=Settings(nvidia_api_key="test", request_log_dir=tmp_path), upstream_client=upstream)
payload = {
"messages": [
{
"role": "user",
"content": [
{"type": "text", "text": "What is in this image?"},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,aW1hZ2U="}},
],
}
]
}
transport = httpx.ASGITransport(app=app)
with caplog.at_level(logging.INFO, logger="redact_spike.proxy"):
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post("/v1/chat/completions", json=payload)
assert response.status_code == 200
assert "chat_completion_received" in caplog.text
assert "image_redaction_started" in caplog.text
assert "image_redaction_applied count=1" in caplog.text
assert "redacted_request_captured" in caplog.text
assert "calling_upstream stream=false" in caplog.text
assert "upstream_response_captured" in caplog.text
async def test_proxy_captures_streaming_upstream_response(tmp_path) -> None:
upstream = RecordingUpstream()
app = create_app(
settings=Settings(nvidia_api_key="test", redaction_enabled=False, request_log_dir=tmp_path),
upstream_client=upstream,
)
payload = {"stream": True, "messages": [{"role": "user", "content": "Hello"}]}
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post("/v1/chat/completions", json=payload)
assert response.status_code == 200
response_log_files = list(tmp_path.glob("*upstream-stream-response.json"))
assert len(response_log_files) == 1
response_log = json.loads(response_log_files[0].read_text(encoding="utf-8"))
assert response_log["body_text"] == "data: {\"choices\":[{\"delta\":{\"content\":\"hi\"}}]}\n\ndata: [DONE]\n\n"
async def test_private_switch_routes_last_message_image_to_private_model_without_redaction(tmp_path: Path) -> None:
public_upstream = RecordingUpstream()
private_upstream = RecordingUpstream()
settings = Settings(
nvidia_api_key="test",
private_upstream_model="private-image-model",
request_log_dir=tmp_path,
)
app = create_app(
settings=settings,
upstream_client=public_upstream,
private_upstream_client=private_upstream,
private_model_switch=True,
)
payload = {
"model": "public-model",
"messages": [
{"role": "system", "content": "You are helpful."},
{
"role": "user",
"content": [
{"type": "text", "text": "Describe this."},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,aW1hZ2U="}},
],
},
],
}
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post("/v1/chat/completions", json=payload)
assert response.status_code == 200
assert public_upstream.payloads == []
forwarded = private_upstream.payloads[0]
assert forwarded["model"] == "private-image-model"
assert "data:image/png" in str(forwarded)
async def test_private_switch_redacts_older_images_when_last_message_has_no_image() -> None:
upstream = RecordingUpstream()
settings = Settings(nvidia_api_key="test", private_upstream_model="private-image-model")
app = create_app(settings=settings, upstream_client=upstream, private_upstream_client=RecordingUpstream(), private_model_switch=True)
payload = {
"model": "public-model",
"messages": [
{
"role": "user",
"content": [
{"type": "text", "text": "Old image."},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,aW1hZ2U="}},
],
},
{"role": "assistant", "content": "What should I do?"},
{"role": "user", "content": "Answer without using that image."},
],
}
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post("/v1/chat/completions", json=payload)
assert response.status_code == 200
forwarded = upstream.payloads[0]
assert forwarded["model"] == "public-model"
assert "data:image/png" not in str(forwarded)
assert "[REDACTED_IMAGE_1] image content redacted before upstream inference." in str(forwarded)
assert "pre-installed MCP" not in str(forwarded)
async def test_private_switch_copies_reasoning_content_to_provider_specific_fields(tmp_path: Path) -> None:
private_upstream = ReasoningUpstream()
app = create_app(
settings=Settings(nvidia_api_key="test", private_upstream_model="private-image-model", request_log_dir=tmp_path),
upstream_client=RecordingUpstream(),
private_upstream_client=private_upstream,
private_model_switch=True,
)
payload = {
"messages": [
{
"role": "user",
"content": [
{"type": "text", "text": "Describe this."},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,aW1hZ2U="}},
],
}
]
}
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post("/v1/chat/completions", json=payload)
message = response.json()["choices"][0]["message"]
assert message["reasoning_content"] == "private reasoning"
assert message["provider_specific_fields"]["reasoning_content"] == "private reasoning"
async def test_private_switch_stream_copies_reasoning_content_to_provider_specific_fields(tmp_path: Path) -> None:
private_upstream = ReasoningUpstream()
app = create_app(
settings=Settings(nvidia_api_key="test", private_upstream_model="private-image-model", request_log_dir=tmp_path),
upstream_client=RecordingUpstream(),
private_upstream_client=private_upstream,
private_model_switch=True,
)
payload = {
"stream": True,
"messages": [
{
"role": "user",
"content": [
{"type": "text", "text": "Describe this."},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,aW1hZ2U="}},
],
}
],
}
transport = httpx.ASGITransport(app=app)
async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.post("/v1/chat/completions", json=payload)
assert response.status_code == 200
assert b'"reasoning_content":"private"' in response.content
assert b'"provider_specific_fields":{"reasoning_content":"private"}' in response.content
assert b'"provider_specific_fields":{"reasoning_content":" reasoning"}' in response.content