Bump magentic from 0.32.0 to 0.34.1

[dependabot]

Bumps magentic from 0.32.0 to 0.34.1.

Release notes

Sourced from magentic's releases.

v0.34.1

What's Changed

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

Full Changelog: jackmpcollins/magentic@v0.34.0...v0.34.1

v0.34.0

What's Changed

Add StreamedResponse and AsyncStreamedResponse to enable parsing responses that contain both text and tool calls. See PR jackmpcollins/magentic#383 or the new docs (copied below) https://magentic.dev/streaming/#StreamedResponse for more details.

⚡ StreamedResponse

Some LLMs have the ability to generate text output and make tool calls in the same response. This allows them to perform chain-of-thought reasoning or provide additional context to the user. In magentic, the StreamedResponse (or AsyncStreamedResponse) class can be used to request this type of output. This object is an iterable of StreamedStr (or AsyncStreamedStr) and FunctionCall instances.

!!! warning "Consuming StreamedStr"

The StreamedStr object must be iterated over before the next item in the `StreamedResponse` is processed, otherwise the string output will be lost. This is because the `StreamedResponse` and `StreamedStr` share the same underlying generator, so advancing the `StreamedResponse` iterator skips over the `StreamedStr` items. The `StreamedStr` object has internal caching so after iterating over it once the chunks will remain available.

In the example below, we request that the LLM generates a greeting and then calls a function to get the weather for two cities. The StreamedResponse object is then iterated over to print the output, and the StreamedStr and FunctionCall items are processed separately.

from magentic import prompt, FunctionCall, StreamedResponse, StreamedStr
def get_weather(city: str) -> str:
return f"The weather in {city} is 20°C."
@​prompt(
"Say hello, then get the weather for: {cities}",
functions=[get_weather],
)
def describe_weather(cities: list[str]) -> StreamedResponse: ...
response = describe_weather(["Cape Town", "San Francisco"])
for item in response:
if isinstance(item, StreamedStr):
for chunk in item:
# print the chunks as they are received
print(chunk, sep="", end="")
print()
if isinstance(item, FunctionCall):
# print the function call, then call it and print the result
print(item)
print(item())
</tr></table>

... (truncated)

Commits

• af31a87 Improve ruff format/lint rules (#385)
• f7e7e37 Consume LLM output stream via returned objects to allow caching (#384)
• 0cc46d9 Add (Async)StreamedResponse for multi-part responses (#383)
• a9d513f Refactor to reuse stream parsing across ChatModels (#380)
• d98045f Make VCR match on request body in tests (#377)
• 046ae4d Switch to uv from poetry (#373)
• b1805d1 Bump ruff from 0.5.2 to 0.6.5 (#331)
• See full diff in compare view

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[dependabot]

Superseded by #386.