Merge remote-tracking branch 'origin/main' into codex/im-channel-connections

# Conflicts:
#	backend/app/gateway/services.py
#	frontend/src/app/workspace/chats/page.tsx
This commit is contained in:
taohe
2026-06-11 17:51:16 +08:00
27 changed files with 1332 additions and 55 deletions
+20 -14
View File
@@ -185,21 +185,27 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
# Pre-warm tiktoken encoding cache so the first memory-injection request
# never blocks on the BPE data download (which hits an OpenAI/Azure URL
# that may be unreachable in restricted networks — see issue #3402).
try:
from deerflow.agents.memory.prompt import warm_tiktoken_cache
# When memory.token_counting is "char", token counting never touches
# tiktoken, so skip the warm-up entirely (avoids even the 5s probe in
# network-restricted deployments — see issue #3429).
if startup_config.memory.token_counting == "char":
logger.info("memory.token_counting='char'; skipping tiktoken warm-up (network-free token estimation)")
else:
try:
from deerflow.agents.memory.prompt import warm_tiktoken_cache
warmed = await asyncio.wait_for(
asyncio.to_thread(warm_tiktoken_cache),
timeout=5,
)
if warmed:
logger.info("tiktoken encoding cache warmed successfully")
else:
logger.warning("tiktoken encoding cache warm-up failed; token counting will use character-based fallback")
except TimeoutError:
logger.warning("tiktoken encoding cache warm-up timed out; token counting will use character-based fallback")
except Exception:
logger.warning("tiktoken warm-up skipped", exc_info=True)
warmed = await asyncio.wait_for(
asyncio.to_thread(warm_tiktoken_cache),
timeout=5,
)
if warmed:
logger.info("tiktoken encoding cache warmed successfully")
else:
logger.warning("tiktoken encoding cache warm-up failed; token counting will use character-based fallback until tiktoken loads successfully")
except TimeoutError:
logger.warning("tiktoken encoding cache warm-up timed out; token counting will use character-based fallback until tiktoken loads successfully")
except Exception:
logger.warning("tiktoken warm-up skipped", exc_info=True)
# Initialize LangGraph runtime components (StreamBridge, RunManager, checkpointer, store)
async with langgraph_runtime(app, startup_config):