v0.28.0

What's Changed

🪵 🔥 Logfire / OpenTelemetry now supported!

This makes it much easier to follow what tool calls are being made by the LLM both as printed output locally and in Logfire or another monitoring service. It also lets you see the raw requests being sent to OpenAI/Anthropic so you can more easily debug issues.

All it takes to get set up is

pip install logfire

import logfire

logfire.configure(send_to_logfire=False)  # Or True to use the Logfire service
logfire.instrument_openai()  # optional, to trace OpenAI API calls
# logfire.instrument_anthropic()  # optional, to trace Anthropic API calls

Check out the new docs page: https://magentic.dev/logging-and-tracing/

PRs

• Add basic logging and MAGENTIC_VERBOSE env var by @jackmpcollins in #263
• Update dependencies by @jackmpcollins in #264
• Instrument for Logfire / OpenTelemetry by @jackmpcollins in #265
• Do not set stream_options when using AzureOpenAI by @jackmpcollins in #262
• Use new parallel_tool_calls arg with OpenAI API by @jackmpcollins in #267
• Fix LitellmChatModel tool_choice parameter to force Anthropic tool use by @jackmpcollins in #268

Full Changelog: v0.27.0...v0.28.0