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feat(models): add support for 'claude-fable-5' mode

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X-iZhang
2026-06-10 00:51:29 +01:00
parent de3785346f
commit cf5e0dd3bd
2 changed files with 7 additions and 5 deletions
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EvoScientist/llm/models.py
+4 -2
View File
@@ -82,6 +82,7 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
("gpt-5.3-codex", "gpt-5.3-codex", "custom-openai"),
("gpt-5-mini", "gpt-5-mini", "custom-openai"),
# Anthropic (current generation)
("claude-fable-5", "claude-fable-5", "anthropic"),
("claude-opus-4-8", "claude-opus-4-8", "anthropic"),
("claude-sonnet-4-6", "claude-sonnet-4-6", "anthropic"),
("claude-haiku-4-5", "claude-haiku-4-5", "anthropic"),
@@ -135,6 +136,7 @@ _MODEL_ENTRIES: list[tuple[str, str, str]] = [
("kimi-k2.5", "Pro/moonshotai/Kimi-K2.5", "siliconflow"),
("glm-4.7", "Pro/zai-org/GLM-4.7", "siliconflow"),
# OpenRouter
("claude-fable-5", "anthropic/claude-fable-5", "openrouter"),
("claude-opus-4.8", "anthropic/claude-opus-4.8", "openrouter"),
("claude-opus-4.8-fast", "anthropic/claude-opus-4.8-fast", "openrouter"),
("claude-sonnet-4.6", "anthropic/claude-sonnet-4.6", "openrouter"),
@@ -312,8 +314,8 @@ def _apply_auto_config(
_is_proxy = False
if _is_proxy or (is_third_party and not _supports_thinking):
pass
elif model_id.endswith(("4-6", "4-7", "4-8")):
kwargs["thinking"] = {"type": "adaptive"}
elif "fable" in model_id or model_id.endswith(("4-6", "4-7", "4-8")):
kwargs["thinking"] = {"type": "adaptive", "display": "summarized"}
kwargs.setdefault("effort", "max")
else:
kwargs["thinking"] = {"type": "enabled", "budget_tokens": 10000}
tests/test_llm.py
+3 -3
View File
@@ -2263,7 +2263,7 @@ class TestAutoConfig:
get_chat_model("claude-sonnet-4-6")
call_kwargs = mock_init.call_args[1]
assert call_kwargs["thinking"] == {"type": "adaptive"}
assert call_kwargs["thinking"] == {"type": "adaptive", "display": "summarized"}
assert call_kwargs["effort"] == "max"
@patch("EvoScientist.llm.models.init_chat_model")
@@ -2275,7 +2275,7 @@ class TestAutoConfig:
get_chat_model("claude-opus-4-8")
call_kwargs = mock_init.call_args[1]
assert call_kwargs["thinking"] == {"type": "adaptive"}
assert call_kwargs["thinking"] == {"type": "adaptive", "display": "summarized"}
assert call_kwargs["effort"] == "max"
@patch("EvoScientist.llm.models.init_chat_model")
@@ -2313,7 +2313,7 @@ class TestAutoConfig:
get_chat_model("claude-sonnet-4-6")
call_kwargs = mock_init.call_args[1]
assert call_kwargs["thinking"] == {"type": "adaptive"}
assert call_kwargs["thinking"] == {"type": "adaptive", "display": "summarized"}
assert call_kwargs["effort"] == "max"
@patch("EvoScientist.llm.models.init_chat_model")