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fix(provider): restore reasoning_content and extra_content in message sanitization

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reasoning_content and extra_content were accidentally dropped from
_ALLOWED_MSG_KEYS.

Also fix session/manager.py to include reasoning_content when building
LLM messages from session history, so the field is not lost across
turns.

Without this fix, providers such as Kimi, emit reasoning_content in
assistant messages will have it stripped on the next request, breaking
multi-turn thinking mode.

Fixes: https://github.com/HKUDS/nanobot/issues/2777
Signed-off-by: Lingao Meng <menglingao@xiaomi.com>
This commit is contained in:
Lingao Meng 2026-04-04 11:52:22 +08:00 committed by Xubin Ren
parent 05fe7d4fb1
commit 3f8eafc89a
2 changed files with 2 additions and 1 deletions
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1
nanobot/providers/openai_compat_provider.py
View File

@ -21,6 +21,7 @@ if TYPE_CHECKING:
_ALLOWED_MSG_KEYS = frozenset({ _ALLOWED_MSG_KEYS = frozenset({
"role", "content", "tool_calls", "tool_call_id", "name", "role", "content", "tool_calls", "tool_call_id", "name",
"reasoning_content", "extra_content",
}) })
_ALNUM = string.ascii_letters + string.digits _ALNUM = string.ascii_letters + string.digits

2
nanobot/session/manager.py
View File

@ -54,7 +54,7 @@ class Session:
out: list[dict[str, Any]] = [] out: list[dict[str, Any]] = []
for message in sliced: for message in sliced:
entry: dict[str, Any] = {"role": message["role"], "content": message.get("content", "")} entry: dict[str, Any] = {"role": message["role"], "content": message.get("content", "")}
for key in ("tool_calls", "tool_call_id", "name"): for key in ("tool_calls", "tool_call_id", "name", "reasoning_content"):
if key in message: if key in message:
entry[key] = message[key] entry[key] = message[key]
out.append(entry) out.append(entry)