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Merge pull request #3478 from nkvch/Issue-#3474-anthropic-roles-alternation-issue

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* feat(factory.py): add support for merging consecutive messages of one role when separated with empty message of another role
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Krish Dholakia 2024-05-07 21:24:47 -07:00 • committed by GitHub
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3 changed files with 71 additions and 30 deletions
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38
litellm/tests/test_completion.py
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@ -1,17 +1,21 @@
import sys, os
import os
import sys
import traceback
from dotenv import load_dotenv
load_dotenv()
import os, io
import io
import os
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the, system path
import pytest
import litellm
from litellm import embedding, completion, completion_cost, Timeout
from litellm import RateLimitError
from litellm import (RateLimitError, Timeout, completion, completion_cost,
embedding)
from litellm.llms.prompt_templates.factory import anthropic_messages_pt
# litellm.num_retries=3
@ -163,6 +167,32 @@ def test_completion_claude_3():
pytest.fail(f"Error occurred: {e}")
def test_completion_claude_3_empty_message():
litellm.set_verbose = True
messages = [{'role': 'user', 'content': 'please create a logo for a modern AI app. create in SVG format'},
{'role': 'assistant', 'content': "To create a logo for a modern AI app in SVG format, I'll use the DALL-E 3 Image Generator."},
{'role': 'user', 'content': 'output SVG'},
{'role': 'assistant', 'content': 'To generate a logo for a modern AI app in SVG format using DALL-E 3, I need to:\n1. Craft a detailed prompt describing the desired logo style and elements\n2. Specify the image size (SVG is vector-based, so size is less relevant)\n3. Call the generate_image function with the prompt and size\n4. Display the generated SVG logo using the provided syntax\nThe prompt should include keywords related to AI, modern design, and SVG format. Some key elements to incorporate could be a brain symbol, circuit lines, or a robot icon, using a minimalist style and a blue color scheme often associated with technology and intelligence.',
'tool_calls': [
{'id': 'toolu_01KEUtRVySSeMrf3g7rCA12E', 'type': 'function', 'function': {'name': 'python_tool', 'arguments': '{"code": "...python code..."}'}}
]},
{'role': 'tool', 'content': '...python output...', 'tool_call_id': 'toolu_01KEUtRVySSeMrf3g7rCA12E'},
{'role': 'assistant', 'content': ''}, # empty message appended by model after tool call response
{'role': 'user', 'content': 'write SVG source youself!'},
]
try:
response = completion(
model="anthropic/claude-3-opus-20240229",
messages=messages,
stream=True,
tools=[{'type': 'function', 'function': {'name': 'python_tool', 'description': 'Execute code', 'parameters': {'type': 'object', 'properties': {'headline': {'description': 'Must have. Title of this tool call (maximum 15 characters).', 'type': 'string'}, 'code': {'description': 'Python code to execute.', 'type': 'string'}}, 'required': ['code', 'headline']}}}]
)
print(response)
except Exception as e:
pytest.fail(f"Error occurred: {e}")
def test_completion_claude_3_function_call():
litellm.set_verbose = True
tools = [