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jubaoliangandjubaoliang
18ab9f6ba9
* feat: workspace backend sandboxing, execute-env injection, and ephemeral image refs Workspace file-I/O hardening across backend and dashboard: - Host directory sandboxing via root_dir allow-list and denied prefixes - Execute-environment defaults injected into harness backend specs - Ephemeral workspace image rematerialization for model calls - Attachment hint expansion and inbound store improvements - Portable memory backend and skill workspace catalog updates - Dashboard UI for agent backend fields and root-dir selection - Bump harness-agent 0.9.23 / harness-memory 0.9.7; docs + install notes * feat: add user invitation codes with admin management and redeem flow - Add user_invites table (migration 009) plus SQLite/Postgres reconcile paths - Add InviteRepo and InviteService for create/revoke/list/redeem - Expose public validate/redeem endpoints and admin create/revoke/list routers - Extract default-agent bootstrap into octop.infra.agents.default_agent - Add invite error codes and en/zh i18n strings - Dashboard: invite drawer, login redeem UI, users list, and locales * fix: add Windows cross-platform guards for pre-existing sandbox/rootfs tests - Guard POSIX/container-only tests (rootfs-absolute /.octop/... workspace paths) with posix_only in test_thread_artifacts.py and test_agent_manager.py - Normalize the rendered workspace path assertion in test_octop_builtin_skills.py (forward slashes on Windows, not str(tmp_path) backslashes) - Canonicalize ws_dir before the prefix check in attachment hint/path tests (tempfile may yield an 8.3 short path on Windows while the resolved attachment path uses the long form) These failures predate the user-invites commit and are unrelated to it; the product path logic is correct. --------- Co-authored-by: jubaoliang <jubaoliang@tencent.com>
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
from langchain.agents.middleware import ModelRequest
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from langchain_anthropic import ChatAnthropic
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from langchain_openai import ChatOpenAI
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from octop.infra.agents.middleware import reasoning
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def test_reasoning_middleware_updates_openai_field_and_extra_body(monkeypatch) -> None:
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monkeypatch.setattr(
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reasoning,
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"get_config",
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lambda: {
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"configurable": {
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reasoning.CONFIG_KEY: {
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"model_fields": {"reasoning_effort": "high"},
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"extra_body": {"thinking": {"type": "enabled"}},
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}
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}
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},
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)
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model = ChatOpenAI(model="gpt-5.4", api_key="test")
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request = ModelRequest(model=model, messages=[])
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configured = reasoning._configured_request(request)
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assert configured.model is not model
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assert configured.model.reasoning_effort == "high"
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assert configured.model.extra_body == {"thinking": {"type": "enabled"}}
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def test_reasoning_middleware_updates_native_anthropic_fields(monkeypatch) -> None:
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monkeypatch.setattr(
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reasoning,
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"get_config",
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lambda: {
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"configurable": {
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reasoning.CONFIG_KEY: {
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"model_fields": {
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"thinking": {"type": "adaptive"},
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"reasoning_effort": "high",
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}
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}
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}
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},
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)
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model = ChatAnthropic(model="claude-opus-4-6", api_key="test", max_tokens=1024)
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request = ModelRequest(model=model, messages=[])
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configured = reasoning._configured_request(request)
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assert configured.model.thinking == {"type": "adaptive"}
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assert configured.model.reasoning_effort == "high"
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