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Add Gemini 3 Flash-specific thinking levels

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This commit is contained in:
Paul Kompfner
2026-01-13 09:50:59 -05:00
parent f6ed7d7582
commit 76a058178e
3 changed files with 20 additions and 61 deletions
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14
src/pipecat/services/google/llm.py
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@@ -708,16 +708,18 @@ class GoogleLLMService(LLMService):
Gemini 2.5 and 3 series models have this thinking process.
Parameters:
thinking_level: Thinking level for Gemini 3 Pro. Can be "low" or "high".
If not provided, Gemini 3 Pro defaults to "high".
Note: Gemini 2.5 series should use thinking_budget instead.
thinking_level: Thinking level for Gemini 3 models.
For Gemini 3 Pro, this can be "low" or "high".
For Gemini 3 Flash, this can be "minimal", "low", "medium", or "high".
If not provided, Gemini 3 models default to "high".
Note: Gemini 2.5 series must use thinking_budget instead.
thinking_budget: Token budget for thinking, for Gemini 2.5 series.
-1 for dynamic thinking (model decides), 0 to disable thinking,
or a specific token count (e.g., 128-32768 for 2.5 Pro).
If not provided, most models today default to dynamic thinking.
See https://ai.google.dev/gemini-api/docs/thinking#set-budget
for default values and allowed ranges.
Note: Gemini 3 Pro should use thinking_level instead.
Note: Gemini 3 models must use thinking_level instead.
include_thoughts: Whether to include thought summaries in the response.
Today's models default to not including thoughts (False).
"""
@@ -726,7 +728,9 @@ class GoogleLLMService(LLMService):
# Why `| str` here? To not break compatibility in case Google adds more
# levels in the future.
thinking_level: Optional[Literal["low", "high"] | str] = Field(default=None)
thinking_level: Optional[Literal["low", "high", "medium", "minimal"] | str] = Field(
default=None
)
include_thoughts: Optional[bool] = Field(default=None)