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feat: support Kimi K3

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bingqilinweimaotai
2026-07-18 17:38:32 +08:00
committed by Xubin Ren
parent b76d54aae1
commit 8c68c6fe1e
6 changed files with 82 additions and 13 deletions
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nanobot/providers/openai_compat_provider.py
+19 -5
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@@ -59,6 +59,7 @@ _DEFAULT_OPENROUTER_HEADERS = {
"X-OpenRouter-Title": "nanobot",
"X-OpenRouter-Categories": "cli-agent,personal-agent",
}
_KIMI_K3_MODEL = "kimi-k3"
_KIMI_THINKING_MODELS: frozenset[str] = frozenset({
"kimi-k2.5",
"kimi-k2.6",
@@ -113,9 +114,9 @@ def _provider_prefix_key(name: str) -> str:
def _requires_max_completion_tokens(model_name: str) -> bool:
"""Return True for models that reject ``max_tokens`` (GPT-5 family, o-series)."""
"""Return True for models that require ``max_completion_tokens``."""
slug = _model_slug(model_name)
return "gpt-5" in slug or any(
return slug == _KIMI_K3_MODEL or "gpt-5" in slug or any(
slug == p or slug.startswith((p + "-", p + ".")) for p in ("o1", "o3", "o4")
)
@@ -716,9 +717,12 @@ class OpenAICompatProvider(LLMProvider):
) -> bool:
"""Return True when the model accepts a temperature parameter.
GPT-5 family and reasoning models (o1/o3/o4) reject temperature
when reasoning_effort is set to anything other than ``"none"``.
Kimi K3 uses a fixed temperature that should be omitted. GPT-5 family
and reasoning models (o1/o3/o4) reject temperature when
reasoning_effort is set to anything other than ``"none"``.
"""
if _model_slug(model_name) == _KIMI_K3_MODEL:
return False
if reasoning_effort and reasoning_effort.lower() != "none":
return False
name = model_name.lower()
@@ -788,6 +792,17 @@ class OpenAICompatProvider(LLMProvider):
semantic_effort = "minimal"
wire_effort = reasoning_effort
slug = _model_slug(model_name)
if slug == _KIMI_K3_MODEL and semantic_effort is not None:
# K3 always reasons and currently accepts only the top-level
# reasoning_effort="max". Preserve disabled/default semantics by
# omitting the field; normalize older enabled presets to "max" so
# switching from a K2.x model does not send an unsupported value.
if semantic_effort in ("none", "minimal"):
wire_effort = None
else:
semantic_effort = "max"
wire_effort = "max"
if spec and spec.name == "dashscope" and semantic_effort == "minimal":
# DashScope accepts none/minimum/low/medium/high/xhigh; "minimal" 400s.
wire_effort = "minimum"
@@ -825,7 +840,6 @@ class OpenAICompatProvider(LLMProvider):
# Only send thinking controls when reasoning_effort is explicit so
# omitting the config preserves each provider's default.
if reasoning_effort is not None:
slug = _model_slug(model_name)
thinking_enabled = semantic_effort not in ("none", "minimal")
for thinking_style in _thinking_styles_for(spec, model_name):
if not thinking_enabled and slug in _KIMI_ALWAYS_THINKING_MODELS: