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fix(middleware): use HumanMessage in LoopDetectionMiddleware for Anthropic compat (#1300)

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LoopDetectionMiddleware injected SystemMessage mid-conversation to warn
about repetitive tool calls. This crashes Anthropic models because
langchain_anthropic's _format_messages() requires system messages to
appear only at the start of the conversation — interleaved system
messages raise 'Received multiple non-consecutive system messages'.

Switch the warning injection from SystemMessage to HumanMessage, which
works with all providers (Anthropic, OpenAI, Google, etc.).

Fixes #1299

Co-authored-by: voidborne-d <voidborne-d@users.noreply.github.com>
This commit is contained in:
d 🔹
2026-03-25 08:00:01 +08:00
committed by GitHub
parent 067b19af00
commit 77b8ef79ca
2 changed files with 10 additions and 5 deletions
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4
backend/tests/test_loop_detection_middleware.py
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@@ -2,7 +2,7 @@
from unittest.mock import MagicMock
from langchain_core.messages import AIMessage, SystemMessage
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
from deerflow.agents.middlewares.loop_detection_middleware import (
_HARD_STOP_MSG,
@@ -81,7 +81,7 @@ class TestLoopDetection:
assert result is not None
msgs = result["messages"]
assert len(msgs) == 1
assert isinstance(msgs[0], SystemMessage)
assert isinstance(msgs[0], HumanMessage)
assert "LOOP DETECTED" in msgs[0].content
def test_warn_only_injected_once(self):