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Support deepseek v3.1 via official deepseek api

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The new deepseek-chat is powered by deepseek v3.1, which is a hybrid
reasoning model unlike it's predecessor, deepseek v3.
This commit is contained in:
Debanjum
2025-08-22 22:13:15 -07:00
parent 40488b3b68
commit 464c1546b7
1 changed files with 7 additions and 3 deletions
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10
src/khoj/processor/conversation/openai/utils.py
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@@ -126,7 +126,7 @@ def completion_with_backoff(
if model_name.startswith("grok-4"):
# Grok-4 models do not support reasoning_effort parameter
model_kwargs.pop("reasoning_effort", None)
elif model_name.startswith("deepseek-reasoner"):
elif model_name.startswith("deepseek-reasoner") or model_name.startswith("deepseek-chat"):
stream_processor = in_stream_thought_processor
# Two successive messages cannot be from the same role. Should merge any back-to-back messages from the same role.
# The first message should always be a user message (except system message).
@@ -325,8 +325,12 @@ async def chat_completion_with_backoff(
# Grok-4 models do not support reasoning_effort parameter
if not model_name.startswith("grok-4"):
model_kwargs["reasoning_effort"] = reasoning_effort
elif model_name.startswith("deepseek-reasoner") or "deepseek-r1" in model_name:
# Official Deepseek reasoner model and some inference APIs like vLLM return structured thinking output.
elif (
model_name.startswith("deepseek-chat")
or model_name.startswith("deepseek-reasoner")
or "deepseek-r1" in model_name
):
# Official Deepseek models and some inference APIs like vLLM return structured thinking output.
# Others like DeepInfra return it in response stream.
# Using the instream thought processor handles both cases, structured thoughts and in response thoughts.
stream_processor = ain_stream_thought_processor