forked from phoenix/litellm-mirror
Merge pull request #3328 from BerriAI/revert-2780-fix-anthropic-messages-api
Revert "Fix Anthropic Messages Prompt Template function to add a third condition: list of text-content dictionaries"
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commit
a76e40df73
2 changed files with 3 additions and 51 deletions
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@ -748,15 +748,9 @@ def anthropic_messages_pt_xml(messages: list):
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assistant_content = []
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## MERGE CONSECUTIVE ASSISTANT CONTENT ##
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while msg_i < len(messages) and messages[msg_i]["role"] == "assistant":
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# Handle assistant messages as string, none, or list of text-content dictionaries.
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if isinstance(messages[msg_i].get("content"), list):
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assistant_text = ''
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for content in messages[msg_i]["content"]:
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if content.get("type") == "text":
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assistant_text += content["text"]
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else:
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assistant_text = messages[msg_i].get("content") or ""
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assistant_text = (
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messages[msg_i].get("content") or ""
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) # either string or none
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if messages[msg_i].get(
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"tool_calls", []
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): # support assistant tool invoke convertion
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@ -230,48 +230,6 @@ def test_completion_claude_3_function_call():
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_claude_3_with_text_content_dictionaries():
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litellm.set_verbose = True
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messages = [
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "Hello"
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}
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]
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},
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{
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"role": "assistant",
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"content": [
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{
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"type": "text",
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"text": "Hello! How can I assist you today?"
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}
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]
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},
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "Hello again!"
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}
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]
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}
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]
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try:
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# test without max tokens
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response = completion(
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model="anthropic/claude-3-opus-20240229",
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messages=messages,
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)
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# Add any assertions, here to check response args
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_parse_xml_params():
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from litellm.llms.prompt_templates.factory import parse_xml_params
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