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chore: commit remaining working changes

Browse Source 
Backend:
- agent: confirmation, persistence, app, langgraph_setup updates
- routes: agent_superset_explore, environments, git helpers/operations
- services: git sync refactoring
- tests: git_status_route expanded

Frontend:
- Navbar: minor cleanup
- Profile: i18n (en/ru), page enhancements, integration tests
- New: _llm_params.py
This commit is contained in:
busya
2026-07-05 09:24:45 +03:00
parent b773a06d52
commit 45e781fb74
17 changed files with 1030 additions and 203 deletions
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6
backend/src/agent/_confirmation.py
View File

@@ -12,6 +12,7 @@ from typing import Any
from langchain_openai import ChatOpenAI
from src.agent._llm_params import chat_openai_kwargs
from src.agent._tool_resolver import (
extract_tool_call_from_state,
find_tool,
@@ -284,13 +285,12 @@ async def _format_tool_output_via_llm(
config = await _fetch_llm_config()
if config and config.get("configured"):
try:
llm = ChatOpenAI(
llm = ChatOpenAI(**chat_openai_kwargs(
model=config.get("default_model", "gpt-4o-mini"),
base_url=config.get("base_url", "https://api.openai.com/v1"),
api_key=config["api_key"],
temperature=0,
max_tokens=1024,
)
))
prompt = (
f"Tool '{tool_name}' returned this data:\n\n{text}\n\n"
"Summarize this data in a concise, human-readable format. "

70
backend/src/agent/_llm_params.py Normal file
View File

@@ -0,0 +1,70 @@
# backend/src/agent/_llm_params.py
# #region AgentChat.LlmParams [C:3] [TYPE Module] [SEMANTICS agent-chat,llm,openai,compatibility]
# @defgroup AgentChat Shared LLM parameter compatibility helpers.
# @LAYER Service
# @BRIEF Build provider-safe ChatOpenAI kwargs and raw OpenAI payloads.
# @POST Unsupported sampling parameters are omitted for reasoning/codex models.
# @RATIONALE Some OpenAI-compatible gateways reject temperature for reasoning/codex
# models. Centralising the guard prevents resume, health-check, and title
# generation paths from diverging.
from typing import Any
_TEMPERATURE_UNSUPPORTED_PREFIXES = (
"codex/",
"omni/codex/",
"gpt-5",
"o1",
"o3",
"o4",
)
def _canonical_model_name(model: str | None) -> str:
"""Return provider-stripped, lowercase model name for compatibility checks."""
name = (model or "").strip().lower()
if name.startswith(("codex/", "omni/codex/")):
return name
if "/" in name:
return name.rsplit("/", 1)[-1]
return name
def supports_temperature(model: str | None) -> bool:
"""Return False for model families whose APIs reject temperature."""
name = _canonical_model_name(model)
return not any(name.startswith(prefix) for prefix in _TEMPERATURE_UNSUPPORTED_PREFIXES)
def chat_openai_kwargs(
*,
model: str,
base_url: str | None,
api_key: str,
max_tokens: int,
temperature: float = 0,
) -> dict[str, Any]:
"""Build ChatOpenAI kwargs without unsupported temperature for reasoning models."""
kwargs: dict[str, Any] = {
"model": model,
"base_url": base_url,
"api_key": api_key,
"max_tokens": max_tokens,
}
if supports_temperature(model):
kwargs["temperature"] = temperature
return kwargs
def add_temperature_if_supported(
payload: dict[str, Any],
*,
model: str | None,
temperature: float = 0,
) -> dict[str, Any]:
"""Mutate and return payload with temperature only when the model supports it."""
if supports_temperature(model):
payload["temperature"] = temperature
return payload
# #endregion AgentChat.LlmParams

3
backend/src/agent/_persistence.py
View File

@@ -16,6 +16,7 @@ import uuid
import httpx
from src.agent._config import AGENT_PREFETCH_DASHBOARD_LIMIT as _PREFETCH_LIMIT, FASTAPI_URL, SERVICE_JWT as _SERVICE_JWT
from src.agent._llm_params import add_temperature_if_supported
from src.core.logger import logger
SAVE_API_URL = FASTAPI_URL + "/api/agent/conversations/save"
@@ -195,8 +196,8 @@ async def _call_llm_for_title(user_text: str) -> str | None:
"model": model,
"messages": [{"role": "user", "content": prompt}],
"max_tokens": 15,
"temperature": 0,
}
add_temperature_if_supported(payload, model=model)
headers = {
"Content-Type": "application/json",

37
backend/src/agent/app.py
View File

@@ -34,6 +34,7 @@ from langchain_openai import ChatOpenAI
from openai import APIConnectionError, APITimeoutError, AuthenticationError
from src.agent._config import GRADIO_SERVER_NAME, GRADIO_SERVER_PORT, STORAGE_ROOT as _STORAGE_ROOT
from src.agent._llm_params import chat_openai_kwargs
from src.agent._confirmation import (
_pending_confirmations,
confirmation_payload,
@@ -216,13 +217,12 @@ async def _check_llm_provider_health() -> str:
if not config or not config.get("configured"):
return _llm_status["status"]
llm = ChatOpenAI(
llm = ChatOpenAI(**chat_openai_kwargs(
model=config.get("default_model", "gpt-4o-mini"),
base_url=config.get("base_url", "https://api.openai.com/v1"),
api_key=config.get("api_key", ""),
temperature=0,
max_tokens=1,
)
))
await llm.ainvoke([HumanMessage(content="ping")])
_llm_status["status"] = "ok"
_llm_status["last_error"] = ""
@@ -244,6 +244,11 @@ async def _check_llm_provider_health() -> str:
_llm_status["last_check_ts"] = time.time()
return "auth_error"
except Exception as exc:
if "usage_metadata.total_tokens" in str(exc):
_llm_status["status"] = "ok"
_llm_status["last_error"] = ""
_llm_status["last_check_ts"] = time.time()
return "ok"
logger.explore("LLM health check failed",
error=str(exc),
extra={"src": "AgentChat.GradioApp.LlmHealthCheck"})
@@ -535,11 +540,24 @@ async def agent_handler( # noqa: C901 — intentionally complex C4 orchestratio
if kind == "on_chat_model_stream":
chunk = event["data"]["chunk"]
if hasattr(chunk, "content") and chunk.content:
content = chunk.content
if isinstance(content, str):
token_text = content
elif isinstance(content, list):
token_text = "".join(
str(item.get("text") or item.get("content") or "")
if isinstance(item, dict) else str(item)
for item in content
)
else:
token_text = str(content)
if not token_text:
continue
emitted_any = True
assistant_parts.append(chunk.content)
assistant_parts.append(token_text)
yield json.dumps({
"content": chunk.content,
"metadata": {"type": "stream_token", "token": chunk.content},
"content": token_text,
"metadata": {"type": "stream_token", "token": token_text},
})
elif kind == "on_tool_start":
tool_name = event["name"]
@@ -677,14 +695,15 @@ async def agent_handler( # noqa: C901 — intentionally complex C4 orchestratio
"content": f"❌ Ошибка: {exc}",
"metadata": {"type": "error", "code": "PROCESSING_ERROR", "detail": str(exc)},
})
await save_conversation(conv_id, visible_user_text, user_id, assistant_text="".join(assistant_parts))
await save_conversation(conv_id, visible_user_text, user_id, assistant_text="".join(str(part) for part in assistant_parts))
return
await save_conversation(conv_id, visible_user_text, user_id, assistant_text="".join(assistant_parts))
assistant_text = "".join(str(part) for part in assistant_parts)
await save_conversation(conv_id, visible_user_text, user_id, assistant_text=assistant_text)
await _generate_title_best_effort(conv_id, visible_user_text)
logger.reflect(
"Agent handler completed",
payload={"conv_id": conv_id, "assistant_len": len("".join(assistant_parts))},
payload={"conv_id": conv_id, "assistant_len": len(assistant_text)},
extra={"src": "AgentChat.GradioApp.Handler"},
)

6
backend/src/agent/langgraph_setup.py
View File

@@ -21,6 +21,7 @@ from langgraph.prebuilt import create_react_agent
from psycopg.rows import dict_row
from src.agent._config import FASTAPI_URL, AGENT_CONFIRM_TOOLS, AGENT_INTERRUPT_BEFORE as _INTERRUPT_BEFORE
from src.agent._llm_params import chat_openai_kwargs
from src.core.logger import logger
# ── Monkey-patch: OpenAI SDK for Pydantic BaseModel classes ──
@@ -167,13 +168,12 @@ async def create_agent(
extra={"src": "AgentChat.LangGraph.Setup"},
)
llm = ChatOpenAI(
llm = ChatOpenAI(**chat_openai_kwargs(
model=model,
base_url=base_url,
api_key=api_key,
temperature=0,
max_tokens=2048,
)
))
# System prompt — env_id injected deterministically, not in user message
prompt = (