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fix(anthropic): handle tool_choice type 'none' in messages API (#24457)

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* fix(anthropic): handle tool_choice type 'none' in messages API

* test(anthropic): add regression test for tool_choice type 'none'

---------

Co-authored-by: BillionClaw <267901332+BillionClaw@users.noreply.github.com>
Co-authored-by: Krrish Dholakia <krrish+github@berri.ai>
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BillionToken 2026-04-23 10:36:18 +08:00 • committed by GitHub
parent bd145d18e1
commit 947931858e
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2 changed files with 18 additions and 13 deletions
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2
litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
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@ -782,6 +782,8 @@ class LiteLLMAnthropicMessagesAdapter:
return ChatCompletionToolChoiceObjectParam(
type="function", function=tc_function_param
)
elif tool_choice["type"] == "none":
return "none"
else:
raise ValueError(
"Incompatible tool choice param submitted - {}".format(tool_choice)

29
tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
View file

@ -2162,16 +2162,19 @@ class TestTranslateAnthropicOutputFormatToOpenAI:
assert sorted(schema["required"]) == ["age", "email", "name"]
def test_invalid_output_format_returns_none(self):
assert (
self.adapter.translate_anthropic_output_format_to_openai("invalid") is None
)
assert (
self.adapter.translate_anthropic_output_format_to_openai({"type": "text"})
is None
)
assert (
self.adapter.translate_anthropic_output_format_to_openai(
{"type": "json_schema"}
)
is None
)
assert self.adapter.translate_anthropic_output_format_to_openai("invalid") is None
assert self.adapter.translate_anthropic_output_format_to_openai({"type": "text"}) is None
assert self.adapter.translate_anthropic_output_format_to_openai({"type": "json_schema"}) is None
def test_translate_anthropic_tool_choice_none():
"""
Regression test for issue #24443.
tool_choice={"type": "none"} should be translated to "none" for OpenAI format,
not raise a ValueError.
"""
adapter = LiteLLMAnthropicMessagesAdapter()
result = adapter.translate_anthropic_tool_choice_to_openai({"type": "none"})
assert result == "none"