Release v4.13.0 (#1481)

Author: alexmojaki

CHANGELOG.md

@@ -1,5 +1,11 @@
 # Release Notes
 
+## [v4.13.0] (2025-10-09)
+
+* Store OpenAI Responses streaming response in events format understood by UI by @alexmojaki in [#1479](https://github.com/pydantic/logfire/pull/1479)
+* Add `output` option to `logfire.ConsoleOptions`, e.g. to log to stderr instead of stdout by @stevenh in [#1477](https://github.com/pydantic/logfire/pull/1477)
+* Update `logfire.instrument_pydantic_ai()` parameters by @alexmojaki in [#1480](https://github.com/pydantic/logfire/pull/1480)
+
 ## [v4.12.0] (2025-10-08)
 
 * Record response when streaming OpenAI Responses API by @stevenh in [#1457](https://github.com/pydantic/logfire/pull/1457)
@@ -934,3 +940,4 @@ First release from new repo!
 [v4.10.0]: https://github.com/pydantic/logfire/compare/v4.9.0...v4.10.0
 [v4.11.0]: https://github.com/pydantic/logfire/compare/v4.10.0...v4.11.0
 [v4.12.0]: https://github.com/pydantic/logfire/compare/v4.11.0...v4.12.0
+[v4.13.0]: https://github.com/pydantic/logfire/compare/v4.12.0...v4.13.0

logfire-api/logfire_api/_internal/config.pyi

@@ -36,7 +36,7 @@ from opentelemetry.sdk.metrics.export import MetricReader as MetricReader
 from opentelemetry.sdk.trace import SpanProcessor
 from opentelemetry.sdk.trace.id_generator import IdGenerator
 from pathlib import Path
-from typing import Any, Callable, Literal, TypedDict
+from typing import Any, Callable, Literal, TextIO, TypedDict
 from typing_extensions import Self, Unpack
 
 CREDENTIALS_FILENAME: str
@@ -54,6 +54,7 @@ class ConsoleOptions:
     verbose: bool = ...
     min_log_level: LevelName = ...
     show_project_link: bool = ...
+    output: TextIO | None = ...
 
 @dataclass
 class AdvancedOptions:

logfire-api/logfire_api/_internal/integrations/pydantic_ai.pyi

@@ -4,4 +4,4 @@ from pydantic_ai.models import Model
 from pydantic_ai.models.instrumented import InstrumentedModel
 from typing import Any, Literal
 
-def instrument_pydantic_ai(logfire_instance: Logfire, obj: Agent | Model | None, event_mode: Literal['attributes', 'logs'] | None, **kwargs: Any) -> None | InstrumentedModel: ...
+def instrument_pydantic_ai(logfire_instance: Logfire, obj: Agent | Model | None, include_binary_content: bool | None, include_content: bool | None, version: Literal[1, 2, 3] | None, event_mode: Literal['attributes', 'logs'] | None, **kwargs: Any) -> None | InstrumentedModel: ...

logfire-api/logfire_api/_internal/main.pyi

@@ -431,9 +431,9 @@ class Logfire:
                 Exclude specific modules from instrumentation.
         """
     @overload
-    def instrument_pydantic_ai(self, obj: pydantic_ai.Agent | None = None, /, *, event_mode: Literal['attributes', 'logs'] = 'attributes', include_binary_content: bool | None = None, **kwargs: Any) -> None: ...
+    def instrument_pydantic_ai(self, obj: pydantic_ai.Agent | None = None, /, *, include_binary_content: bool | None = None, include_content: bool | None = None, version: Literal[1, 2, 3] | None = None, event_mode: Literal['attributes', 'logs'] | None = None, **kwargs: Any) -> None: ...
     @overload
-    def instrument_pydantic_ai(self, obj: pydantic_ai.models.Model, /, *, event_mode: Literal['attributes', 'logs'] = 'attributes', include_binary_content: bool | None = None, **kwargs: Any) -> pydantic_ai.models.Model: ...
+    def instrument_pydantic_ai(self, obj: pydantic_ai.models.Model, /, *, include_binary_content: bool | None = None, include_content: bool | None = None, version: Literal[1, 2, 3] | None = None, event_mode: Literal['attributes', 'logs'] | None = None, **kwargs: Any) -> pydantic_ai.models.Model: ...
     def instrument_fastapi(self, app: FastAPI, *, capture_headers: bool = False, request_attributes_mapper: Callable[[Request | WebSocket, dict[str, Any]], dict[str, Any] | None] | None = None, excluded_urls: str | Iterable[str] | None = None, record_send_receive: bool = False, extra_spans: bool = False, **opentelemetry_kwargs: Any) -> AbstractContextManager[None]:
         """Instrument a FastAPI app so that spans and logs are automatically created for each request.
 

logfire-api/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "logfire-api"
-version = "4.12.0"
+version = "4.13.0"
 description = "Shim for the Logfire SDK which does nothing unless Logfire is installed"
 authors = [
     { name = "Pydantic Team", email = "[email protected]" },

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "logfire"
-version = "4.12.0"
+version = "4.13.0"
 description = "The best Python observability tool! 🪵🔥"
 requires-python = ">=3.9"
 authors = [