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fix(merge): resolve integration gaps found by running the v0.3.0 test suite

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Post-merge validation fixes (upstream v0.3.0 + Ai4Sci fork):

- llm/patches.py: restore the two module-level patch calls the merge dropped
  (_patch_openai_empty_sse_keepalive, _patch_deepagents_extracted_document_text)
  and make _is_ccproxy_codex accept an explicit base_url/api_key so the
  invocation plan can classify an endpoint without mutating the process env.
- llm/models.py: an explicit per-call plan now wins over
  EVOSCIENTIST_USE_RESPONSES_API (env is only a default), an explicit caller
  `reasoning` block survives an explicit use_responses_api=False, and the
  third-party (openrouter) default effort stays the fork's fixed `medium`.
- EvoScientist.py: sub-agent stacks pass NO_OP_SINK as `events` instead of None.
- middleware/error_normalization.py: platform-generated diagnostics
  (ModelOutputTruncatedError) keep their actionable text while provider SDK
  errors still get the canned redacted message.
- pyproject.toml: hold google-genai 1.x (langchain-google-genai>=4.3.7,<4.4)
  because llm/gemini_interactions.py drives the 1.x Interactions API; this is
  also what deepagents 0.7.13 requires.
- config/settings.py: restore upstream's use_responses_api config field.
  `reasoning_effort` stays deleted on purpose — Ai4Sci keeps reasoning an
  invocation-plan parameter, never a deployment-env override.
- tests: align upstream tests that encode replaced behaviour (ccproxy
  responses-api context, reasoning-effort-overrides-env, fingerprint coverage)
  with the fork's contracts.
This commit is contained in:
m4
2026-09-13 16:57:03 +08:00
parent 470cf75722
commit 4c338ed914
9 changed files with 234 additions and 43 deletions
Download Patch File Download Diff File Expand all files Collapse all files
EvoScientist/EvoScientist.py
+1 -1
View File
@@ -1187,7 +1187,7 @@ def _get_default_middleware(
# A frontend sink enables the streaming selection lifecycle; subagent /
# headless stacks stay silent (upstream replaced track_stream_selection
# with the events sink).
events=events if not for_async_subagent else None,
events=events,
)
mw = [
# Outermost — catches provider-SDK exceptions from the model
EvoScientist/config/settings.py
+8
View File
@@ -501,6 +501,9 @@ class EvoScientistConfig:
# DM access control policy
dm_policy: str = "allowlist"
# OpenAI API mode - "" = auto, "true" = force Responses, "false" = force Completions
use_responses_api: str = ""
# ccproxy
ccproxy_port: int = 8000
@@ -877,6 +880,7 @@ _ENV_MAPPINGS = {
"dangerous_mode": "EVOSCIENTIST_DANGEROUS_MODE",
"channel_debug_tracing": "EVOSCIENTIST_CHANNEL_DEBUG_TRACING",
"ccproxy_port": "EVOSCIENTIST_CCPROXY_PORT",
"use_responses_api": "EVOSCIENTIST_USE_RESPONSES_API",
"checkpoint_keep_per_thread": "EVOSCIENTIST_CHECKPOINT_KEEP_PER_THREAD",
"enable_async_subagents": "EVOSCIENTIST_ENABLE_ASYNC_SUBAGENTS",
"langgraph_dev_port": "EVOSCIENTIST_LANGGRAPH_DEV_PORT",
@@ -1098,3 +1102,7 @@ def apply_config_to_env(config: EvoScientistConfig) -> None:
os.environ["EVOSCIENTIST_DANGEROUS_MODE"] = "true"
else:
os.environ.pop("EVOSCIENTIST_DANGEROUS_MODE", None)
if config.use_responses_api and not os.environ.get(
"EVOSCIENTIST_USE_RESPONSES_API"
):
os.environ["EVOSCIENTIST_USE_RESPONSES_API"] = config.use_responses_api
EvoScientist/llm/models.py
+21 -10
View File
@@ -396,6 +396,9 @@ def get_chat_model(
>>> model = get_chat_model("claude-3-opus-20240229", provider="anthropic") # Full ID
"""
model = model or DEFAULT_MODEL
# Captured before any auto-configuration: an explicit caller reasoning block
# must survive an explicit `use_responses_api=False`, auto-injected one must not.
_caller_supplied_reasoning = "reasoning" in kwargs
# Look up short name in registry (provider-aware)
model_id = None
@@ -528,8 +531,9 @@ def get_chat_model(
# Note: mandatory-reasoning endpoints (kimi-k3, grok-4.5, …) reject
# effort "none" with HTTP 400 — that error is surfaced to the user
# as-is; pick a real effort (low+) for those models.
# Ai4Sci: default medium, overridable via EVOSCIENTIST_REASONING_EFFORT.
effort = _resolve_reasoning_effort("medium")
# Ai4Sci: an invocation parameter is owned by the compiled plan, so the
# deployment environment must not alter it; medium is the fixed default.
effort = "medium"
kwargs.setdefault("reasoning", {"effort": effort, "summary": "auto"})
# App attribution (issue #339): identify EvoScientist to OpenRouter so
# usage is credited to the project (app rankings, model app tabs,
@@ -641,14 +645,21 @@ def get_chat_model(
)
kwargs.pop("use_responses_api", None)
elif provider == "openai":
_responses_api_setting = (
os.environ.get("EVOSCIENTIST_USE_RESPONSES_API", "").strip().lower()
)
if _responses_api_setting == "false":
kwargs["use_responses_api"] = False
kwargs.pop("reasoning", None)
elif _responses_api_setting == "true":
kwargs["use_responses_api"] = True
if "use_responses_api" in kwargs:
# An explicit per-call plan always wins over the deployment env
# (Ai4Sci compiles the invocation plan; env is only a default).
if kwargs["use_responses_api"] is False and not _caller_supplied_reasoning:
# Chat Completions cannot carry the Responses-only reasoning block.
kwargs.pop("reasoning", None)
else:
_responses_api_setting = (
os.environ.get("EVOSCIENTIST_USE_RESPONSES_API", "").strip().lower()
)
if _responses_api_setting == "false":
kwargs["use_responses_api"] = False
kwargs.pop("reasoning", None)
elif _responses_api_setting == "true":
kwargs["use_responses_api"] = True
if _is_openai_proxy and kwargs.get("use_responses_api") is True:
reasoning = kwargs.setdefault("reasoning", {})
EvoScientist/llm/patches.py
+18 -3
View File
@@ -192,15 +192,22 @@ _patch_ccproxy_codex_compat()
# ---------------------------------------------------------------------------
# Utility: detect ccproxy's Codex adapter (as opposed to generic localhost).
# ---------------------------------------------------------------------------
def _is_ccproxy_codex() -> bool:
def _is_ccproxy_codex(
base_url: str | None = None,
api_key: str | None = None,
) -> bool:
"""Return True if the OpenAI endpoint is ccproxy's Codex adapter.
Checks for the ccproxy-specific markers set by ``setup_codex_env()``
in ``ccproxy_manager.py``: the sentinel API key and the ``/codex/v1``
path. Plain localhost endpoints (vLLM, Ollama, etc.) are not affected.
``base_url`` / ``api_key`` override the environment when supplied, so a
resolved invocation plan can be classified without mutating the process
environment (Ai4Sci routes models through a compiled plan).
"""
base_url = os.environ.get("OPENAI_BASE_URL", "")
api_key = os.environ.get("OPENAI_API_KEY", "")
base_url = os.environ.get("OPENAI_BASE_URL", "") if base_url is None else base_url
api_key = os.environ.get("OPENAI_API_KEY", "") if api_key is None else api_key
return (
("127.0.0.1" in base_url or "localhost" in base_url)
and api_key == "ccproxy-oauth"
@@ -1747,6 +1754,9 @@ def _patch_openai_empty_sse_keepalive() -> None:
pass
_patch_openai_empty_sse_keepalive()
_deepagents_extracted_document_text_patched = False
@@ -1777,3 +1787,8 @@ def _patch_deepagents_extracted_document_text() -> None:
_deepagents_extracted_document_text_patched = True
except Exception:
pass
_patch_deepagents_extracted_document_text()
EvoScientist/middleware/error_normalization.py
+20 -12
View File
@@ -260,6 +260,7 @@ def _normalize(request: ModelRequest, exc: BaseException) -> ProviderStreamError
_extract_provider_code,
_extract_status_code,
_provider_from_model,
_redact_api_keys,
)
# Already normalized (e.g. by ModelFallbackMiddleware wrapping against
@@ -302,18 +303,25 @@ def _normalize(request: ModelRequest, exc: BaseException) -> ProviderStreamError
)
status_code = _extract_status_code(exc)
safe_message = {
400: "Provider rejected the request.",
401: "Provider authentication failed.",
403: "Provider authorization failed.",
404: "Provider model or endpoint was not found.",
408: "Provider request timed out.",
429: "Provider rate limit was exceeded.",
500: "Provider request failed.",
502: "Provider gateway failed.",
503: "Provider is temporarily unavailable.",
504: "Provider gateway timed out.",
}.get(status_code, "Provider request failed.")
# Ai4Sci redaction contract: provider SDK text can embed response bodies, so
# it is replaced by a canned message. Platform-generated diagnostics carry no
# provider payload — surface their actionable text (e.g. the truncation hint
# about reasoning_effort) instead of burying it behind "Provider request failed."
if isinstance(exc, ModelOutputTruncatedError):
safe_message = _redact_api_keys(str(exc))
else:
safe_message = {
400: "Provider rejected the request.",
401: "Provider authentication failed.",
403: "Provider authorization failed.",
404: "Provider model or endpoint was not found.",
408: "Provider request timed out.",
429: "Provider rate limit was exceeded.",
500: "Provider request failed.",
502: "Provider gateway failed.",
503: "Provider is temporarily unavailable.",
504: "Provider gateway timed out.",
}.get(status_code, "Provider request failed.")
return ProviderStreamError(
provider=provider,
class_qualname=class_qualname,
pyproject.toml
+7 -1
View File
@@ -25,7 +25,13 @@ dependencies = [
"langchain-openai>=1.2",
"langchain-deepseek>=1.1",
"langchain-nvidia-ai-endpoints>=1.2",
"langchain-google-genai>=4.3",
# Ai4Sci: llm/gemini_interactions.py drives google.genai's Interactions API.
# google-genai 2.x redesigned that API (private `_interactions` -> a different
# public `interactions` surface), so hold the 1.x SDK until we port the transport.
# 4.3.7 is the last langchain-google-genai that still admits google-genai 1.x,
# and it is also what deepagents 0.7.13 requires (>=4.3.7,<5.0.0).
"langchain-google-genai>=4.3.7,<4.4",
"google-genai>=1.74,<2",
"langchain-ollama>=1.1",
"langchain-openrouter>=0.2.5",
# 0.11.0+ SSE regressions: teardown noise + mid-turn ReadTimeout
tests/test_langgraph_dev_workspace_sidecar.py
+11 -6
View File
@@ -503,15 +503,20 @@ def test_pid_serves_port_matrix():
def test_server_config_fingerprint_covers_new_fields_by_default():
"""The fingerprint iterates the dataclass minus an exclusion set, so
server-affecting values din0s called out — reasoning effort, provider
keys/base URLs — count without per-field registration."""
server-affecting values need not be called out per field — provider
credentials and base URLs count without per-field registration.
Ai4Sci note: reasoning effort is deliberately *not* in this list,
because it is an invocation-plan parameter rather than deployment
config (see ``test_env_reasoning_effort_is_not_a_config_override``).
"""
cfg = manager.EvoScientistConfig()
base = manager._server_config_fingerprint(cfg)
cfg.reasoning_effort = "definitely-different"
after_effort = manager._server_config_fingerprint(cfg)
assert after_effort != base
cfg.anthropic_api_key = "definitely-different"
after_key = manager._server_config_fingerprint(cfg)
assert after_key != base
cfg.anthropic_base_url = "https://proxy.example"
assert manager._server_config_fingerprint(cfg) != after_effort
assert manager._server_config_fingerprint(cfg) != after_key
def test_server_config_fingerprint_ignores_cli_only_fields():
tests/test_llm.py
+24 -2
View File
@@ -3714,7 +3714,9 @@ class TestAutoConfig:
assert headers["User-Agent"].startswith("codex_cli_rs/0.144.1")
mock_installed_version.assert_called_once_with()
assert mock_init.call_args[1]["reasoning"]["effort"] == "xhigh"
assert mock_init.call_args[1]["reasoning"]["context"] == "all_turns"
# Ai4Sci: the protocol (Responses vs Chat Completions) is owned by the
# compiled invocation plan, so the model layer adds no `context` key.
assert "context" not in mock_init.call_args[1]["reasoning"]
@patch("EvoScientist.llm.models.init_chat_model")
def test_openai_ccproxy_codex_client_version_env(self, mock_init, monkeypatch):
@@ -3808,7 +3810,7 @@ class TestAutoConfig:
"effort": "low",
"context": "previous_response_id",
}
assert mock_init.call_args[1]["reasoning"] is not reasoning
# The caller's dict is passed through untouched (no protocol rewrite).
assert reasoning == {"effort": "low", "context": "previous_response_id"}
@patch("EvoScientist.llm.models.init_chat_model")
@@ -3905,6 +3907,26 @@ class TestAutoConfig:
assert call_kwargs["include_thoughts"] is True
@pytest.mark.parametrize("env_value", ["false", "true", " TRUE "])
@patch("EvoScientist.llm.models.init_chat_model")
def test_response_api_environment_cannot_override_an_explicit_call_plan(
self, mock_init, monkeypatch, env_value
):
mock_init.return_value = "mock_model"
monkeypatch.delenv("OPENAI_BASE_URL", raising=False)
monkeypatch.setenv("EVOSCIENTIST_USE_RESPONSES_API", env_value)
get_chat_model(
"gpt-5-nano",
provider="openai",
use_responses_api=False,
reasoning_effort="high",
)
call_kwargs = mock_init.call_args[1]
assert call_kwargs["use_responses_api"] is False
assert call_kwargs["reasoning_effort"] == "high"
assert "reasoning" not in call_kwargs
@patch("EvoScientist.llm.models.init_chat_model")
def test_use_responses_api_false(self, mock_init, monkeypatch):
"""use_responses_api=false forces Chat Completions and drops reasoning."""
uv.lock
Generated
+124 -8
View File
@@ -1061,11 +1061,12 @@ wheels = [
[[package]]
name = "evoscientist"
version = "0.3.0"
source = { editable = "." }
dependencies = [
{ name = "deepagents", extra = ["quickjs"] },
{ name = "filelock" },
{ name = "firecrawl-anydoc" },
{ name = "google-genai" },
{ name = "httpx" },
{ name = "langchain" },
{ name = "langchain-anthropic" },
@@ -1083,11 +1084,13 @@ dependencies = [
{ name = "lazy-loader" },
{ name = "markdownify" },
{ name = "openrouter" },
{ name = "pillow" },
{ name = "prompt-toolkit" },
{ name = "psutil" },
{ name = "python-dotenv" },
{ name = "pyyaml" },
{ name = "questionary" },
{ name = "rfc8785" },
{ name = "rich" },
{ name = "tavily-python" },
{ name = "textual" },
@@ -1175,11 +1178,13 @@ requires-dist = [
{ name = "discord-py", marker = "extra == 'discord'", specifier = ">=2.3" },
{ name = "faster-whisper", marker = "extra == 'stt'", specifier = ">=1.0" },
{ name = "filelock", specifier = ">=3.16" },
{ name = "firecrawl-anydoc", specifier = ">=0.1.6,<0.2" },
{ name = "google-genai", specifier = ">=1.74,<2" },
{ name = "httpx", specifier = ">=0.28" },
{ name = "langchain", specifier = ">=1.3" },
{ name = "langchain-anthropic", specifier = ">=1.5" },
{ name = "langchain-deepseek", specifier = ">=1.1" },
{ name = "langchain-google-genai", specifier = ">=4.3" },
{ name = "langchain-google-genai", specifier = ">=4.3.7,<4.4" },
{ name = "langchain-mcp-adapters", specifier = ">=0.3.2" },
{ name = "langchain-nvidia-ai-endpoints", specifier = ">=1.2" },
{ name = "langchain-ollama", specifier = ">=1.1" },
@@ -1194,6 +1199,7 @@ requires-dist = [
{ name = "lazy-loader", specifier = ">=0.5" },
{ name = "markdownify", specifier = ">=1.2" },
{ name = "openrouter", specifier = ">=0.10.8,<0.11.0" },
{ name = "pillow", specifier = ">=10.0" },
{ name = "pre-commit", marker = "extra == 'dev'", specifier = ">=3.5.0" },
{ name = "prompt-toolkit", specifier = ">=3.0" },
{ name = "psutil", specifier = ">=6.0" },
@@ -1213,6 +1219,7 @@ requires-dist = [
{ name = "qrcode", marker = "extra == 'qq'", specifier = ">=7.4" },
{ name = "qrcode", marker = "extra == 'wechat'", specifier = ">=7.4" },
{ name = "questionary", specifier = ">=2.1" },
{ name = "rfc8785", specifier = "==0.1.4" },
{ name = "rich", specifier = ">=15.0" },
{ name = "ruff", marker = "extra == 'dev'", specifier = ">=0.5" },
{ name = "slack-sdk", marker = "extra == 'all-channels'", specifier = ">=3.27" },
@@ -1472,6 +1479,21 @@ wheels = [
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[[package]]
name = "flatbuffers"
version = "25.12.19"
@@ -1620,7 +1642,7 @@ requests = [
[[package]]
name = "google-genai"
version = "2.23.0"
version = "1.75.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "anyio" },
@@ -1634,9 +1656,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "websockets" },
]
sdist = { url = "https://files.pythonhosted.org/packages/ae/9a/db14adffb0144584889e05f433a4e8ce540f9ed2928ed8b23cc65ab96178/google_genai-2.23.0.tar.gz", hash = "sha256:1ceebffdcd2af30c039a922ba05de61cd4054bb61c94be7649c4bf9ff8b33c5f", size = 686707, upload-time = "2026-09-10T22:55:31.12Z" }
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[[package]]
@@ -2257,7 +2279,7 @@ wheels = [
[[package]]
name = "langchain-google-genai"
version = "4.4.0"
version = "4.3.7"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "filetype" },
@@ -2265,9 +2287,9 @@ dependencies = [
{ name = "langchain-core" },
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