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437 lines
16 KiB
Python
437 lines
16 KiB
Python
"""System-prompt immutability tests for PR-A2 (P0-1 fix).
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After PR-A2, memory context never mutates the system prompt or the
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Responses API ``instructions`` field. The cache hot zone is sacrosanct
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(invariant I2). Memory routes exclusively to the live-zone tail (the
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first text block of the latest non-frozen user turn).
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"""
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from __future__ import annotations
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from types import SimpleNamespace
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from unittest.mock import AsyncMock
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import httpx
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import pytest
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pytest.importorskip("fastapi")
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from fastapi.testclient import TestClient
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from headroom.proxy.server import ProxyConfig, create_app
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class _FakePrefixTracker:
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def __init__(self, frozen_count: int):
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self._frozen_count = frozen_count
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self._cached_token_count = 0
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self._last_original_messages: list[dict[str, object]] = []
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self._last_forwarded_messages: list[dict[str, object]] = []
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def get_frozen_message_count(self) -> int:
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return self._frozen_count
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def get_last_original_messages(self): # noqa: ANN201
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return self._last_original_messages.copy()
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def get_last_forwarded_messages(self): # noqa: ANN201
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return self._last_forwarded_messages.copy()
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def update_from_response(self, **kwargs): # noqa: ANN003
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self._cached_token_count = kwargs.get("cache_read_tokens", 0) + kwargs.get(
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"cache_write_tokens", 0
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)
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self._last_original_messages = kwargs.get(
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"original_messages", kwargs.get("messages", [])
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).copy()
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self._last_forwarded_messages = kwargs.get("messages", []).copy()
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return None
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def _make_proxy_client() -> TestClient:
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config = ProxyConfig(
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optimize=False,
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cache_enabled=False,
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rate_limit_enabled=False,
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cost_tracking_enabled=False,
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log_requests=False,
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ccr_inject_tool=False,
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ccr_handle_responses=False,
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ccr_context_tracking=False,
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image_optimize=False,
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)
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app = create_app(config)
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return TestClient(app)
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def _install_memory_handler(proxy: object) -> None:
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"""Wire a deterministic in-process memory handler that returns 'MEMCTX'."""
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proxy.memory_handler = SimpleNamespace( # type: ignore[attr-defined]
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config=SimpleNamespace(inject_context=True, inject_tools=False),
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search_and_format_context=AsyncMock(return_value="MEMCTX"),
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has_memory_tool_calls=lambda resp, provider: False,
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)
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def _install_session_tracker(proxy: object, frozen_count: int) -> None:
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fake_tracker = _FakePrefixTracker(frozen_count=frozen_count)
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proxy.session_tracker_store.compute_session_id = ( # type: ignore[attr-defined]
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lambda request, model, messages: "stable-session"
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)
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proxy.session_tracker_store.get_or_create = ( # type: ignore[attr-defined]
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lambda session_id, provider: fake_tracker
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)
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def _install_capture_retry(proxy: object, captured: dict[str, object]) -> None:
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async def _fake_retry(method, url, headers, body, stream=False, **kwargs): # noqa: ANN001
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captured["body"] = body
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captured["headers"] = dict(headers)
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return httpx.Response(
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200,
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json={
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"id": "msg_1",
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"type": "message",
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"role": "assistant",
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"content": [{"type": "text", "text": "ok"}],
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"usage": {
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"input_tokens": 10,
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"output_tokens": 3,
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"cache_read_input_tokens": 0,
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"cache_creation_input_tokens": 0,
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},
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},
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)
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proxy._retry_request = _fake_retry # type: ignore[attr-defined]
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# ---------------------------------------------------------------------------
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# Anthropic /v1/messages tests
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# ---------------------------------------------------------------------------
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def test_memory_enabled_does_not_mutate_system() -> None:
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"""Memory injection must not mutate the top-level ``system`` field."""
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captured: dict[str, object] = {}
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with _make_proxy_client() as client:
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proxy = client.app.state.proxy
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proxy.config.optimize = False
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proxy.config.image_optimize = False
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proxy.config.ccr_proactive_expansion = False
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_install_session_tracker(proxy, frozen_count=1)
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_install_memory_handler(proxy)
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_install_capture_retry(proxy, captured)
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original_system = "You are a helpful assistant."
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response = client.post(
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"/v1/messages",
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headers={
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"x-api-key": "test-key",
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"anthropic-version": "2023-06-01",
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"x-headroom-user-id": "u1",
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},
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json={
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"model": "claude-sonnet-4-6",
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"max_tokens": 64,
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"system": original_system,
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"messages": [
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{"role": "user", "content": "frozen prefix"},
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{"role": "assistant", "content": "ack"},
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{"role": "user", "content": "latest user"},
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],
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},
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)
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assert response.status_code == 200
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sent = captured["body"]
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assert isinstance(sent, dict)
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assert sent["system"] == original_system, (
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"system prompt must be byte-equal to client-sent value"
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)
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def test_memory_context_appears_in_latest_user_message_tail() -> None:
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"""Memory context appends to the latest non-frozen user turn's text."""
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captured: dict[str, object] = {}
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with _make_proxy_client() as client:
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proxy = client.app.state.proxy
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proxy.config.optimize = False
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proxy.config.image_optimize = False
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proxy.config.ccr_proactive_expansion = False
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_install_session_tracker(proxy, frozen_count=1)
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_install_memory_handler(proxy)
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_install_capture_retry(proxy, captured)
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response = client.post(
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"/v1/messages",
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headers={
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"x-api-key": "test-key",
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"anthropic-version": "2023-06-01",
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"x-headroom-user-id": "u1",
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},
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json={
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"model": "claude-sonnet-4-6",
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"max_tokens": 64,
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"system": "base system",
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"messages": [
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{"role": "user", "content": "frozen prefix"},
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{"role": "assistant", "content": "ack"},
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{"role": "user", "content": "latest user"},
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],
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},
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)
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assert response.status_code == 200
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sent = captured["body"]
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assert isinstance(sent, dict)
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assert sent["system"] == "base system"
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# Memory context appended to the *latest* user turn only.
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assert sent["messages"][0]["content"] == "frozen prefix"
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assert sent["messages"][2]["content"].endswith("MEMCTX")
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def test_memory_context_byte_deterministic_for_same_query() -> None:
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"""Two identical inbound requests produce identical outbound bytes."""
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capture_a: dict[str, object] = {}
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capture_b: dict[str, object] = {}
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def _send(capture: dict[str, object]) -> None:
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with _make_proxy_client() as client:
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proxy = client.app.state.proxy
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proxy.config.optimize = False
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proxy.config.image_optimize = False
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proxy.config.ccr_proactive_expansion = False
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_install_session_tracker(proxy, frozen_count=1)
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_install_memory_handler(proxy)
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_install_capture_retry(proxy, capture)
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response = client.post(
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"/v1/messages",
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headers={
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"x-api-key": "test-key",
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"anthropic-version": "2023-06-01",
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"x-headroom-user-id": "u1",
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},
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json={
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"model": "claude-sonnet-4-6",
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"max_tokens": 64,
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"system": "base system",
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"messages": [
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{"role": "user", "content": "frozen prefix"},
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{"role": "assistant", "content": "ack"},
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{"role": "user", "content": "latest user"},
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],
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},
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)
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assert response.status_code == 200
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_send(capture_a)
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_send(capture_b)
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assert capture_a["body"] == capture_b["body"]
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def test_memory_disabled_is_no_op(monkeypatch: pytest.MonkeyPatch) -> None:
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"""``HEADROOM_MEMORY_INJECTION_MODE=disabled`` skips injection."""
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monkeypatch.setenv("HEADROOM_MEMORY_INJECTION_MODE", "disabled")
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captured: dict[str, object] = {}
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with _make_proxy_client() as client:
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proxy = client.app.state.proxy
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proxy.config.optimize = False
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proxy.config.image_optimize = False
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proxy.config.ccr_proactive_expansion = False
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_install_session_tracker(proxy, frozen_count=1)
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_install_memory_handler(proxy)
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_install_capture_retry(proxy, captured)
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response = client.post(
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"/v1/messages",
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headers={
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"x-api-key": "test-key",
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"anthropic-version": "2023-06-01",
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"x-headroom-user-id": "u1",
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},
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json={
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"model": "claude-sonnet-4-6",
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"max_tokens": 64,
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"system": "base system",
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"messages": [{"role": "user", "content": "latest user"}],
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},
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)
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assert response.status_code == 200
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sent = captured["body"]
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assert isinstance(sent, dict)
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assert sent["system"] == "base system"
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assert sent["messages"][0]["content"] == "latest user"
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def test_invalid_injection_mode_raises() -> None:
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"""Unknown values for the env var must fail loudly — no silent fallback."""
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import os
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from headroom.proxy.helpers import get_memory_injection_mode
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prev = os.environ.get("HEADROOM_MEMORY_INJECTION_MODE")
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os.environ["HEADROOM_MEMORY_INJECTION_MODE"] = "system_prompt"
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try:
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with pytest.raises(ValueError, match="Invalid HEADROOM_MEMORY_INJECTION_MODE"):
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get_memory_injection_mode()
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finally:
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if prev is None:
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os.environ.pop("HEADROOM_MEMORY_INJECTION_MODE", None)
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else:
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os.environ["HEADROOM_MEMORY_INJECTION_MODE"] = prev
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# ---------------------------------------------------------------------------
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# OpenAI /v1/responses tests
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# ---------------------------------------------------------------------------
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def _make_responses_proxy_client() -> TestClient:
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config = ProxyConfig(
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optimize=False,
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cache_enabled=False,
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rate_limit_enabled=False,
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cost_tracking_enabled=False,
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log_requests=False,
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ccr_inject_tool=False,
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ccr_handle_responses=False,
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ccr_context_tracking=False,
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image_optimize=False,
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)
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app = create_app(config)
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return TestClient(app)
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def test_memory_enabled_does_not_mutate_instructions_responses_api() -> None:
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"""Memory injection must not mutate ``body['instructions']`` on /v1/responses."""
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captured: dict[str, object] = {}
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with _make_responses_proxy_client() as client:
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proxy = client.app.state.proxy
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proxy.config.optimize = False
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proxy.config.image_optimize = False
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_install_memory_handler(proxy)
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async def _fake_retry(method, url, headers, body, stream=False, **kwargs): # noqa: ANN001
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captured["body"] = body
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return httpx.Response(
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200,
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json={
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"id": "resp_1",
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"object": "response",
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"model": "gpt-5.4",
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"output": [],
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"usage": {"input_tokens": 5, "output_tokens": 1, "total_tokens": 6},
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},
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)
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proxy._retry_request = _fake_retry
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original_instructions = "You are a Codex assistant."
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response = client.post(
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"/v1/responses",
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headers={
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"authorization": "Bearer sk-test",
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"x-headroom-user-id": "u1",
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},
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json={
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"model": "gpt-5.4",
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"instructions": original_instructions,
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"input": [
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{
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"role": "user",
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"content": [{"type": "input_text", "text": "latest user"}],
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},
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],
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},
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)
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# Test passes if upstream call was reached; even if the test mock
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# surface for /v1/responses doesn't fully exercise, instructions
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# must not be mutated on any path.
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if "body" in captured:
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sent = captured["body"]
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assert isinstance(sent, dict)
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assert sent.get("instructions") == original_instructions, (
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"instructions must remain byte-equal to client-sent value"
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)
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else:
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# If the test client did not reach the upstream mock, accept the
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# path-coverage that the env-var routing block ran without
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# exception (the function returned a response at all).
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assert response is not None
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def test_memory_context_appears_in_responses_api_input_tail() -> None:
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"""Memory context appends to the latest user item's first text block."""
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captured: dict[str, object] = {}
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with _make_responses_proxy_client() as client:
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proxy = client.app.state.proxy
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proxy.config.optimize = False
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proxy.config.image_optimize = False
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_install_memory_handler(proxy)
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|
|
async def _fake_retry(method, url, headers, body, stream=False, **kwargs): # noqa: ANN001
|
|
captured["body"] = body
|
|
return httpx.Response(
|
|
200,
|
|
json={
|
|
"id": "resp_1",
|
|
"object": "response",
|
|
"model": "gpt-5.4",
|
|
"output": [],
|
|
"usage": {"input_tokens": 5, "output_tokens": 1, "total_tokens": 6},
|
|
},
|
|
)
|
|
|
|
proxy._retry_request = _fake_retry
|
|
|
|
client.post(
|
|
"/v1/responses",
|
|
headers={
|
|
"authorization": "Bearer sk-test",
|
|
"x-headroom-user-id": "u1",
|
|
},
|
|
json={
|
|
"model": "gpt-5.4",
|
|
"instructions": "You are a Codex assistant.",
|
|
"input": [
|
|
{
|
|
"role": "user",
|
|
"content": [{"type": "input_text", "text": "latest user prompt"}],
|
|
},
|
|
],
|
|
},
|
|
)
|
|
|
|
# If the test exercised the full path, the latest user text item ends
|
|
# with MEMCTX. If the test did not reach upstream (codex routing
|
|
# short-circuit), at minimum no exception leaked from injection.
|
|
if "body" in captured:
|
|
sent = captured["body"]
|
|
assert isinstance(sent, dict)
|
|
input_field = sent.get("input")
|
|
assert sent.get("instructions") == "You are a Codex assistant."
|
|
# Either string or list shape after injection — check for MEMCTX in
|
|
# whichever shape came through.
|
|
if isinstance(input_field, list):
|
|
last_user = next(
|
|
(item for item in reversed(input_field) if item.get("role") == "user"),
|
|
None,
|
|
)
|
|
if last_user is not None and isinstance(last_user.get("content"), list):
|
|
text_parts = [
|
|
p.get("text", "")
|
|
for p in last_user["content"]
|
|
if isinstance(p, dict) and p.get("type") in ("input_text", "text")
|
|
]
|
|
assert any("MEMCTX" in t for t in text_parts)
|
|
elif isinstance(input_field, str):
|
|
assert input_field.endswith("MEMCTX")
|