v0.39.2

What's Changed

• Add tests for Gemini via openai package by @jackmpcollins in #382

Full Changelog: v0.39.1...v0.39.2

v0.39.1

What's Changed

• Add tests and docs for xAI / Grok via OpenaiChatModel by @jackmpcollins in #433

Full Changelog: v0.39.0...v0.39.1

v0.39.0

What's Changed

• Use TypeVar default to remove overloads by @jackmpcollins in #411
• Add missing Field import in docs by @jackmpcollins in #428
• feat: support for passing extra_headers to LitellmChatModel by @ashwin153 in #426

New Contributors

• @ashwin153 made their first contribution in #426

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

v0.38.1

What's Changed

• 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

What's Changed

• 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

What's Changed

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

• @ananis25 made their first contribution in #404

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

v0.37.0

What's Changed

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

• Allow Messages as input to prompt_chain by @jackmpcollins in #403

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

v0.36.0

What's Changed

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

• Use public import for ChatCompletionStreamState by @jackmpcollins in #398
• Make Chat class public and add docs by @jackmpcollins in #401
• Remove unused content None from openai messages by @jackmpcollins in #402

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

v0.35.0

What's Changed

UserMessage now accepts image urls, image bytes, and document bytes directly using the ImageUrl, ImageBytes, and DocumentBytes types.

Example of new UserMessage syntax and DocumentBytes

from pathlib import Path

from magentic import chatprompt, DocumentBytes, Placeholder, UserMessage
from magentic.chat_model.anthropic_chat_model import AnthropicChatModel


@chatprompt(
    UserMessage(
        [
            "Repeat the contents of this document.",
            Placeholder(DocumentBytes, "document_bytes"),
        ]
    ),
    model=AnthropicChatModel("claude-3-5-sonnet-20241022"),
)
def read_document(document_bytes: bytes) -> str: ...


document_bytes = Path("...").read_bytes()
read_document(document_bytes)
# 'This is a test PDF.'

PRs

• Accept Sequence[Message] instead of list for Chat by @alexchandel in #390
• Bump astral-sh/setup-uv from 4 to 5 by @dependabot in #393
• Support images directly in UserMessage by @jackmpcollins in #387
• Add DocumentBytes for submitting PDF documents by @jackmpcollins in #395

New Contributors

• @alexchandel made their first contribution in #390

Full Changelog: v0.34.1...v0.35.0

v0.34.1

What's Changed

• Consume LLM output stream via returned objects to allow caching by @jackmpcollins in #384
• Improve ruff format/lint rules by @jackmpcollins in #385
• Update overview and configuration docs by @jackmpcollins in #386

Full Changelog: v0.34.0...v0.34.1