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Releases: jackmpcollins/magentic

v0.40.0

22 Jun 04:59
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New Contributors

  • @piiq made their first contribution in #448

Full Changelog: v0.39.3...v0.40.0

v0.39.3

07 Apr 05:58
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  • Fix: function call parsing positional args ignoring arg defaults by @jackmpcollins in #439

Full Changelog: v0.39.2...v0.39.3

v0.39.2

02 Mar 06:00
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Full Changelog: v0.39.1...v0.39.2

v0.39.1

02 Mar 05:35
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Full Changelog: v0.39.0...v0.39.1

v0.39.0

24 Feb 10:13
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New Contributors

Full Changelog: v0.38.1...v0.39.0

v0.38.1

29 Jan 08:06
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  • fix - function call with no args when using anthropic api by @ananis25 in #408

Full Changelog: v0.38.0...v0.38.1

v0.38.0

27 Jan 08:10
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  • Async streamed response to api message conversion by @ananis25 in #405
  • Support AsyncParallelFunctionCall in message_to_X_message by @jackmpcollins in #406

Full Changelog: v0.37.1...v0.38.0

v0.37.1

24 Jan 05:51
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Anthropic model message serialization now supports StreamedResponse in AssistantMessage. Thanks to @ananis25 🎉

PRs

  • add msg-to-anthropic-msg converter for streamedresponse by @ananis25 in #404

New Contributors

Full Changelog: v0.37.0...v0.37.1

v0.37.0

15 Jan 07:00
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The @prompt_chain decorator can now accept a sequence of Message as input, like @chatprompt.

from magentic import prompt_chain, UserMessage

def get_current_weather(location, unit="fahrenheit"):
    """Get the current weather in a given location"""
    return {"temperature": "72", "forecast": ["sunny", "windy"]}

@prompt_chain(
    template=[UserMessage("What's the weather like in {city}?")],
    functions=[get_current_weather],
)
def describe_weather(city: str) -> str: ...

describe_weather("Boston")
'The weather in Boston is currently 72°F with sunny and windy conditions.'

PRs

Full Changelog: v0.36.0...v0.37.0

v0.36.0

12 Jan 06:35
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Document the Chat class and make it importable from the top level.
docs: https://magentic.dev/chat/

from magentic import Chat, OpenaiChatModel, UserMessage

# Create a new Chat instance
chat = Chat(
    messages=[UserMessage("Say hello")],
    model=OpenaiChatModel("gpt-4o"),
)

# Append a new user message
chat = chat.add_user_message("Actually, say goodbye!")
print(chat.messages)
# [UserMessage('Say hello'), UserMessage('Actually, say goodbye!')]

# Submit the chat to the LLM to get a response
chat = chat.submit()
print(chat.last_message.content)
# 'Hello! Just kidding—goodbye!'

PRs

Full Changelog: v0.35.0...v0.36.0