From 2d8c1b1a81a019b490c2a1673d749528df0c1549 Mon Sep 17 00:00:00 2001
From: Alex Hall <alex.mojaki@gmail.com>
Date: Thu, 4 Dec 2025 16:45:40 +0200
Subject: [PATCH 1/7] Replace OTel events with logs

---
 pydantic_ai_slim/pydantic_ai/messages.py      | 35 +++++++++-------
 .../pydantic_ai/models/instrumented.py        | 42 +++++++++----------
 tests/models/test_instrumented.py             | 26 ++++++------
 3 files changed, 53 insertions(+), 50 deletions(-)

diff --git a/pydantic_ai_slim/pydantic_ai/messages.py b/pydantic_ai_slim/pydantic_ai/messages.py
index 51f1534132..36598c3a1a 100644
--- a/pydantic_ai_slim/pydantic_ai/messages.py
+++ b/pydantic_ai_slim/pydantic_ai/messages.py
@@ -14,7 +14,7 @@
 import pydantic
 import pydantic_core
 from genai_prices import calc_price, types as genai_types
-from opentelemetry._events import Event  # pyright: ignore[reportPrivateImportUsage]
+from opentelemetry._logs import LogRecord  # pyright: ignore[reportPrivateImportUsage]
 from typing_extensions import deprecated
 
 from . import _otel_messages, _utils
@@ -89,9 +89,9 @@ class SystemPromptPart:
     part_kind: Literal['system-prompt'] = 'system-prompt'
     """Part type identifier, this is available on all parts as a discriminator."""
 
-    def otel_event(self, settings: InstrumentationSettings) -> Event:
-        return Event(
-            'gen_ai.system.message',
+    def otel_event(self, settings: InstrumentationSettings) -> LogRecord:
+        return LogRecord(
+            attributes={'event.name': 'gen_ai.system.message'},
             body={'role': 'system', **({'content': self.content} if settings.include_content else {})},
         )
 
@@ -742,7 +742,7 @@ class UserPromptPart:
     part_kind: Literal['user-prompt'] = 'user-prompt'
     """Part type identifier, this is available on all parts as a discriminator."""
 
-    def otel_event(self, settings: InstrumentationSettings) -> Event:
+    def otel_event(self, settings: InstrumentationSettings) -> LogRecord:
         content = [{'kind': part.pop('type'), **part} for part in self.otel_message_parts(settings)]
         for part in content:
             if part['kind'] == 'binary' and 'content' in part:
@@ -752,7 +752,7 @@ def otel_event(self, settings: InstrumentationSettings) -> Event:
         ]
         if content in ([{'kind': 'text'}], [self.content]):
             content = content[0]
-        return Event('gen_ai.user.message', body={'content': content, 'role': 'user'})
+        return LogRecord(attributes={'event.name': 'gen_ai.user.message'}, body={'content': content, 'role': 'user'})
 
     def otel_message_parts(self, settings: InstrumentationSettings) -> list[_otel_messages.MessagePart]:
         parts: list[_otel_messages.MessagePart] = []
@@ -829,9 +829,9 @@ def model_response_object(self) -> dict[str, Any]:
         else:
             return {'return_value': json_content}
 
-    def otel_event(self, settings: InstrumentationSettings) -> Event:
-        return Event(
-            'gen_ai.tool.message',
+    def otel_event(self, settings: InstrumentationSettings) -> LogRecord:
+        return LogRecord(
+            attributes={'event.name': 'gen_ai.tool.message'},
             body={
                 **({'content': self.content} if settings.include_content else {}),
                 'role': 'tool',
@@ -947,12 +947,15 @@ def model_response(self) -> str:
             )
         return f'{description}\n\nFix the errors and try again.'
 
-    def otel_event(self, settings: InstrumentationSettings) -> Event:
+    def otel_event(self, settings: InstrumentationSettings) -> LogRecord:
         if self.tool_name is None:
-            return Event('gen_ai.user.message', body={'content': self.model_response(), 'role': 'user'})
+            return LogRecord(
+                attributes={'event.name': 'gen_ai.user.message'},
+                body={'content': self.model_response(), 'role': 'user'},
+            )
         else:
-            return Event(
-                'gen_ai.tool.message',
+            return LogRecord(
+                attributes={'event.name': 'gen_ai.tool.message'},
                 body={
                     **({'content': self.model_response()} if settings.include_content else {}),
                     'role': 'tool',
@@ -1341,13 +1344,13 @@ def cost(self) -> genai_types.PriceCalculation:
             genai_request_timestamp=self.timestamp,
         )
 
-    def otel_events(self, settings: InstrumentationSettings) -> list[Event]:
+    def otel_events(self, settings: InstrumentationSettings) -> list[LogRecord]:
         """Return OpenTelemetry events for the response."""
-        result: list[Event] = []
+        result: list[LogRecord] = []
 
         def new_event_body():
             new_body: dict[str, Any] = {'role': 'assistant'}
-            ev = Event('gen_ai.assistant.message', body=new_body)
+            ev = LogRecord(attributes={'event.name': 'gen_ai.assistant.message'}, body=new_body)
             result.append(ev)
             return new_body
 
diff --git a/pydantic_ai_slim/pydantic_ai/models/instrumented.py b/pydantic_ai_slim/pydantic_ai/models/instrumented.py
index c3900896b5..4e345b2af2 100644
--- a/pydantic_ai_slim/pydantic_ai/models/instrumented.py
+++ b/pydantic_ai_slim/pydantic_ai/models/instrumented.py
@@ -10,11 +10,11 @@
 from urllib.parse import urlparse
 
 from genai_prices.types import PriceCalculation
-from opentelemetry._events import (
-    Event,  # pyright: ignore[reportPrivateImportUsage]
-    EventLogger,  # pyright: ignore[reportPrivateImportUsage]
-    EventLoggerProvider,  # pyright: ignore[reportPrivateImportUsage]
-    get_event_logger_provider,  # pyright: ignore[reportPrivateImportUsage]
+from opentelemetry._logs import (
+    Logger,  # pyright: ignore [reportPrivateImportUsage]
+    LoggerProvider,  # pyright: ignore [reportPrivateImportUsage]
+    LogRecord,  # pyright: ignore [reportPrivateImportUsage]
+    get_logger_provider,  # pyright: ignore [reportPrivateImportUsage]
 )
 from opentelemetry.metrics import MeterProvider, get_meter_provider
 from opentelemetry.trace import Span, Tracer, TracerProvider, get_tracer_provider
@@ -88,7 +88,7 @@ class InstrumentationSettings:
     """
 
     tracer: Tracer = field(repr=False)
-    event_logger: EventLogger = field(repr=False)
+    logger: Logger = field(repr=False)
     event_mode: Literal['attributes', 'logs'] = 'attributes'
     include_binary_content: bool = True
     include_content: bool = True
@@ -103,7 +103,7 @@ def __init__(
         include_content: bool = True,
         version: Literal[1, 2, 3] = DEFAULT_INSTRUMENTATION_VERSION,
         event_mode: Literal['attributes', 'logs'] = 'attributes',
-        event_logger_provider: EventLoggerProvider | None = None,
+        logger_provider: LoggerProvider | None = None,
     ):
         """Create instrumentation options.
 
@@ -120,7 +120,7 @@ def __init__(
             version: Version of the data format. This is unrelated to the Pydantic AI package version.
                 Version 1 is based on the legacy event-based OpenTelemetry GenAI spec
                     and will be removed in a future release.
-                    The parameters `event_mode` and `event_logger_provider` are only relevant for version 1.
+                    The parameters `event_mode` and `logger_provider` are only relevant for version 1.
                 Version 2 uses the newer OpenTelemetry GenAI spec and stores messages in the following attributes:
                     - `gen_ai.system_instructions` for instructions passed to the agent.
                     - `gen_ai.input.messages` and `gen_ai.output.messages` on model request spans.
@@ -128,7 +128,7 @@ def __init__(
             event_mode: The mode for emitting events in version 1.
                 If `'attributes'`, events are attached to the span as attributes.
                 If `'logs'`, events are emitted as OpenTelemetry log-based events.
-            event_logger_provider: The OpenTelemetry event logger provider to use.
+            logger_provider: The OpenTelemetry event logger provider to use.
                 If not provided, the global event logger provider is used.
                 Calling `logfire.configure()` sets the global event logger provider, so most users don't need this.
                 This is only used if `event_mode='logs'` and `version=1`.
@@ -137,11 +137,11 @@ def __init__(
 
         tracer_provider = tracer_provider or get_tracer_provider()
         meter_provider = meter_provider or get_meter_provider()
-        event_logger_provider = event_logger_provider or get_event_logger_provider()
+        logger_provider = logger_provider or get_logger_provider()
         scope_name = 'pydantic-ai'
         self.tracer = tracer_provider.get_tracer(scope_name, __version__)
         self.meter = meter_provider.get_meter(scope_name, __version__)
-        self.event_logger = event_logger_provider.get_event_logger(scope_name, __version__)
+        self.logger = logger_provider.get_logger(scope_name, __version__)
         self.event_mode = event_mode
         self.include_binary_content = include_binary_content
         self.include_content = include_content
@@ -180,7 +180,7 @@ def __init__(
 
     def messages_to_otel_events(
         self, messages: list[ModelMessage], parameters: ModelRequestParameters | None = None
-    ) -> list[Event]:
+    ) -> list[LogRecord]:
         """Convert a list of model messages to OpenTelemetry events.
 
         Args:
@@ -190,18 +190,18 @@ def messages_to_otel_events(
         Returns:
             A list of OpenTelemetry events.
         """
-        events: list[Event] = []
+        events: list[LogRecord] = []
         instructions = InstrumentedModel._get_instructions(messages, parameters)  # pyright: ignore [reportPrivateUsage]
         if instructions is not None:
             events.append(
-                Event(
-                    'gen_ai.system.message',
+                LogRecord(
+                    attributes={'event.name': 'gen_ai.system.message'},
                     body={**({'content': instructions} if self.include_content else {}), 'role': 'system'},
                 )
             )
 
         for message_index, message in enumerate(messages):
-            message_events: list[Event] = []
+            message_events: list[LogRecord] = []
             if isinstance(message, ModelRequest):
                 for part in message.parts:
                     if hasattr(part, 'otel_event'):
@@ -250,8 +250,8 @@ def handle_messages(
             events = self.messages_to_otel_events(input_messages, parameters)
             for event in self.messages_to_otel_events([response], parameters):
                 events.append(
-                    Event(
-                        'gen_ai.choice',
+                    LogRecord(
+                        attributes={'event.name': 'gen_ai.choice'},
                         body={
                             'index': 0,
                             'message': event.body,
@@ -299,10 +299,10 @@ def system_instructions_attributes(self, instructions: str | None) -> dict[str,
             }
         return {}
 
-    def _emit_events(self, span: Span, events: list[Event]) -> None:
+    def _emit_events(self, span: Span, events: list[LogRecord]) -> None:
         if self.event_mode == 'logs':
             for event in events:
-                self.event_logger.emit(event)
+                self.logger.emit(event)
         else:
             attr_name = 'events'
             span.set_attributes(
@@ -511,7 +511,7 @@ def model_request_parameters_attributes(
         return {'model_request_parameters': json.dumps(InstrumentedModel.serialize_any(model_request_parameters))}
 
     @staticmethod
-    def event_to_dict(event: Event) -> dict[str, Any]:
+    def event_to_dict(event: LogRecord) -> dict[str, Any]:
         if not event.body:
             body = {}  # pragma: no cover
         elif isinstance(event.body, Mapping):
diff --git a/tests/models/test_instrumented.py b/tests/models/test_instrumented.py
index b6a52e0c25..5112fb08f6 100644
--- a/tests/models/test_instrumented.py
+++ b/tests/models/test_instrumented.py
@@ -9,7 +9,7 @@
 from inline_snapshot import snapshot
 from inline_snapshot.extra import warns
 from logfire_api import DEFAULT_LOGFIRE_INSTANCE
-from opentelemetry._events import NoOpEventLoggerProvider
+from opentelemetry._logs import NoOpLoggerProvider
 from opentelemetry.trace import NoOpTracerProvider
 
 from pydantic_ai import (
@@ -220,7 +220,7 @@ async def test_instrumented_model(capfire: CaptureLogfire):
         [
             {
                 'body': {'role': 'system', 'content': 'system_prompt'},
-                'severity_number': 9,
+                'severity_number': None,
                 'severity_text': None,
                 'attributes': {
                     'gen_ai.system': 'openai',
@@ -235,7 +235,7 @@ async def test_instrumented_model(capfire: CaptureLogfire):
             },
             {
                 'body': {'content': 'user_prompt', 'role': 'user'},
-                'severity_number': 9,
+                'severity_number': None,
                 'severity_text': None,
                 'attributes': {
                     'gen_ai.system': 'openai',
@@ -250,7 +250,7 @@ async def test_instrumented_model(capfire: CaptureLogfire):
             },
             {
                 'body': {'content': 'tool_return_content', 'role': 'tool', 'id': 'tool_call_3', 'name': 'tool3'},
-                'severity_number': 9,
+                'severity_number': None,
                 'severity_text': None,
                 'attributes': {
                     'gen_ai.system': 'openai',
@@ -274,7 +274,7 @@ async def test_instrumented_model(capfire: CaptureLogfire):
                     'id': 'tool_call_4',
                     'name': 'tool4',
                 },
-                'severity_number': 9,
+                'severity_number': None,
                 'severity_text': None,
                 'attributes': {
                     'gen_ai.system': 'openai',
@@ -297,7 +297,7 @@ async def test_instrumented_model(capfire: CaptureLogfire):
 """,
                     'role': 'user',
                 },
-                'severity_number': 9,
+                'severity_number': None,
                 'severity_text': None,
                 'attributes': {
                     'gen_ai.system': 'openai',
@@ -312,7 +312,7 @@ async def test_instrumented_model(capfire: CaptureLogfire):
             },
             {
                 'body': {'role': 'assistant', 'content': 'text3'},
-                'severity_number': 9,
+                'severity_number': None,
                 'severity_text': None,
                 'attributes': {
                     'gen_ai.system': 'openai',
@@ -345,7 +345,7 @@ async def test_instrumented_model(capfire: CaptureLogfire):
                         ],
                     },
                 },
-                'severity_number': 9,
+                'severity_number': None,
                 'severity_text': None,
                 'attributes': {'gen_ai.system': 'openai', 'event.name': 'gen_ai.choice'},
                 'timestamp': 14000000000,
@@ -361,7 +361,7 @@ async def test_instrumented_model(capfire: CaptureLogfire):
 async def test_instrumented_model_not_recording():
     model = InstrumentedModel(
         MyModel(),
-        InstrumentationSettings(tracer_provider=NoOpTracerProvider(), event_logger_provider=NoOpEventLoggerProvider()),
+        InstrumentationSettings(tracer_provider=NoOpTracerProvider(), logger_provider=NoOpLoggerProvider()),
     )
 
     messages: list[ModelMessage] = [ModelRequest(parts=[SystemPromptPart('system_prompt')])]
@@ -453,7 +453,7 @@ async def test_instrumented_model_stream(capfire: CaptureLogfire):
         [
             {
                 'body': {'content': 'user_prompt', 'role': 'user'},
-                'severity_number': 9,
+                'severity_number': None,
                 'severity_text': None,
                 'attributes': {
                     'gen_ai.system': 'openai',
@@ -468,7 +468,7 @@ async def test_instrumented_model_stream(capfire: CaptureLogfire):
             },
             {
                 'body': {'index': 0, 'message': {'role': 'assistant', 'content': 'text1text2'}},
-                'severity_number': 9,
+                'severity_number': None,
                 'severity_text': None,
                 'attributes': {'gen_ai.system': 'openai', 'event.name': 'gen_ai.choice'},
                 'timestamp': 4000000000,
@@ -566,7 +566,7 @@ async def test_instrumented_model_stream_break(capfire: CaptureLogfire):
         [
             {
                 'body': {'content': 'user_prompt', 'role': 'user'},
-                'severity_number': 9,
+                'severity_number': None,
                 'severity_text': None,
                 'attributes': {
                     'gen_ai.system': 'openai',
@@ -581,7 +581,7 @@ async def test_instrumented_model_stream_break(capfire: CaptureLogfire):
             },
             {
                 'body': {'index': 0, 'message': {'role': 'assistant', 'content': 'text1'}},
-                'severity_number': 9,
+                'severity_number': None,
                 'severity_text': None,
                 'attributes': {'gen_ai.system': 'openai', 'event.name': 'gen_ai.choice'},
                 'timestamp': 4000000000,

From 94da45651f3a75d0f5fddee72771d1389293365a Mon Sep 17 00:00:00 2001
From: Alex Hall <alex.mojaki@gmail.com>
Date: Thu, 4 Dec 2025 16:53:40 +0200
Subject: [PATCH 2/7] docs

---
 docs/logfire.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/logfire.md b/docs/logfire.md
index f1e1392c76..67bb1980f7 100644
--- a/docs/logfire.md
+++ b/docs/logfire.md
@@ -278,17 +278,17 @@ Note that the OpenTelemetry Semantic Conventions are still experimental and are
 
 ### Setting OpenTelemetry SDK providers
 
-By default, the global `TracerProvider` and `EventLoggerProvider` are used. These are set automatically by `logfire.configure()`. They can also be set by the `set_tracer_provider` and `set_event_logger_provider` functions in the OpenTelemetry Python SDK. You can set custom providers with [`InstrumentationSettings`][pydantic_ai.models.instrumented.InstrumentationSettings].
+By default, the global `TracerProvider` and `LoggerProvider` are used. These are set automatically by `logfire.configure()`. They can also be set by the `set_tracer_provider` and `set_logger_provider` functions in the OpenTelemetry Python SDK. You can set custom providers with [`InstrumentationSettings`][pydantic_ai.models.instrumented.InstrumentationSettings].
 
 ```python {title="instrumentation_settings_providers.py"}
-from opentelemetry.sdk._events import EventLoggerProvider
+from opentelemetry.sdk._logs import LoggerProvider
 from opentelemetry.sdk.trace import TracerProvider
 
 from pydantic_ai import Agent, InstrumentationSettings
 
 instrumentation_settings = InstrumentationSettings(
     tracer_provider=TracerProvider(),
-    event_logger_provider=EventLoggerProvider(),
+    logger_provider=LoggerProvider(),
 )
 
 agent = Agent('openai:gpt-5', instrument=instrumentation_settings)
@@ -321,9 +321,9 @@ Agent.instrument_all(instrumentation_settings)
 
 ### Excluding prompts and completions
 
-For privacy and security reasons, you may want to monitor your agent's behavior and performance without exposing sensitive user data or proprietary prompts in your observability platform. Pydantic AI allows you to exclude the actual content from instrumentation events while preserving the structural information needed for debugging and monitoring.
+For privacy and security reasons, you may want to monitor your agent's behavior and performance without exposing sensitive user data or proprietary prompts in your observability platform. Pydantic AI allows you to exclude the actual content from telemetry while preserving the structural information needed for debugging and monitoring.
 
-When `include_content=False` is set, Pydantic AI will exclude sensitive content from OpenTelemetry events, including user prompts and model completions, tool call arguments and responses, and any other message content.
+When `include_content=False` is set, Pydantic AI will exclude sensitive content from telemetry, including user prompts and model completions, tool call arguments and responses, and any other message content.
 
 ```python {title="excluding_sensitive_content.py"}
 from pydantic_ai import Agent

From 8a44efa727931384fc5c4c7cb552eb54524c8f0b Mon Sep 17 00:00:00 2001
From: Alex Hall <alex.mojaki@gmail.com>
Date: Thu, 4 Dec 2025 17:01:41 +0200
Subject: [PATCH 3/7] upgrade logfire

---
 uv.lock | 114 ++++++++++++++++++++++++--------------------------------
 1 file changed, 49 insertions(+), 65 deletions(-)

diff --git a/uv.lock b/uv.lock
index 0079a4a9c5..aaf526c2ba 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.13' and platform_python_implementation == 'PyPy'",
@@ -1410,18 +1410,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/07/6c/aa3f2f849e01cb6a001cd8554a88d4c77c5c1a31c95bdf1cf9301e6d9ef4/defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61", size = 25604, upload-time = "2021-03-08T10:59:24.45Z" },
 ]
 
-[[package]]
-name = "deprecated"
-version = "1.2.18"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "wrapt" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/98/97/06afe62762c9a8a86af0cfb7bfdab22a43ad17138b07af5b1a58442690a2/deprecated-1.2.18.tar.gz", hash = "sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d", size = 2928744, upload-time = "2025-01-27T10:46:25.7Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/6e/c6/ac0b6c1e2d138f1002bcf799d330bd6d85084fece321e662a14223794041/Deprecated-1.2.18-py2.py3-none-any.whl", hash = "sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec", size = 9998, upload-time = "2025-01-27T10:46:09.186Z" },
-]
-
 [[package]]
 name = "depyf"
 version = "0.19.0"
@@ -2763,7 +2751,6 @@ version = "0.7.30"
 source = { registry = "https://pypi.org/simple" }
 sdist = { url = "https://files.pythonhosted.org/packages/bf/38/d1ef3ae08d8d857e5e0690c5b1e07bf7eb4a1cae5881d87215826dc6cadb/llguidance-0.7.30.tar.gz", hash = "sha256:e93bf75f2b6e48afb86a5cee23038746975e1654672bf5ba0ae75f7d4d4a2248", size = 1055528, upload-time = "2025-06-23T00:23:49.247Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b3/e1/694c89986fcae7777184fc8b22baa0976eba15a6847221763f6ad211fc1f/llguidance-0.7.30-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c80af02c118d2b0526bcecaab389af2ed094537a069b0fc724cd2a2f2ba3990f", size = 3327974, upload-time = "2025-06-23T00:23:47.556Z" },
     { url = "https://files.pythonhosted.org/packages/fd/77/ab7a548ae189dc23900fdd37803c115c2339b1223af9e8eb1f4329b5935a/llguidance-0.7.30-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:00a256d532911d2cf5ba4ef63e182944e767dd2402f38d63002016bc37755958", size = 3210709, upload-time = "2025-06-23T00:23:45.872Z" },
     { url = "https://files.pythonhosted.org/packages/9c/5b/6a166564b14f9f805f0ea01ec233a84f55789cb7eeffe1d6224ccd0e6cdd/llguidance-0.7.30-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:af8741c867e4bc7e42f7cdc68350c076b4edd0ca10ecefbde75f15a9f6bc25d0", size = 14867038, upload-time = "2025-06-23T00:23:39.571Z" },
     { url = "https://files.pythonhosted.org/packages/af/80/5a40b9689f17612434b820854cba9b8cabd5142072c491b5280fe5f7a35e/llguidance-0.7.30-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9edc409b9decd6cffba5f5bf3b4fbd7541f95daa8cbc9510cbf96c6ab1ffc153", size = 15004926, upload-time = "2025-06-23T00:23:43.965Z" },
@@ -2855,7 +2842,7 @@ wheels = [
 
 [[package]]
 name = "logfire"
-version = "4.0.0"
+version = "4.15.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "executing" },
@@ -2867,9 +2854,9 @@ dependencies = [
     { name = "tomli", marker = "python_full_version < '3.11'" },
     { name = "typing-extensions" },
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From 08f88f7ca651010d867221b004b0cc16971d8383 Mon Sep 17 00:00:00 2001
From: Alex Hall <alex.mojaki@gmail.com>
Date: Thu, 4 Dec 2025 17:10:36 +0200
Subject: [PATCH 4/7] snapshots

---
 pydantic_ai_slim/pydantic_ai/messages.py            | 2 +-
 pydantic_ai_slim/pydantic_ai/models/instrumented.py | 2 +-
 tests/models/test_fallback.py                       | 1 +
 tests/models/test_instrumented.py                   | 1 +
 4 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/pydantic_ai_slim/pydantic_ai/messages.py b/pydantic_ai_slim/pydantic_ai/messages.py
index 36598c3a1a..a3bfe9f68a 100644
--- a/pydantic_ai_slim/pydantic_ai/messages.py
+++ b/pydantic_ai_slim/pydantic_ai/messages.py
@@ -743,7 +743,7 @@ class UserPromptPart:
     """Part type identifier, this is available on all parts as a discriminator."""
 
     def otel_event(self, settings: InstrumentationSettings) -> LogRecord:
-        content = [{'kind': part.pop('type'), **part} for part in self.otel_message_parts(settings)]
+        content: Any = [{'kind': part.pop('type'), **part} for part in self.otel_message_parts(settings)]
         for part in content:
             if part['kind'] == 'binary' and 'content' in part:
                 part['binary_content'] = part.pop('content')
diff --git a/pydantic_ai_slim/pydantic_ai/models/instrumented.py b/pydantic_ai_slim/pydantic_ai/models/instrumented.py
index 4e345b2af2..b6fa511c5f 100644
--- a/pydantic_ai_slim/pydantic_ai/models/instrumented.py
+++ b/pydantic_ai_slim/pydantic_ai/models/instrumented.py
@@ -515,7 +515,7 @@ def event_to_dict(event: LogRecord) -> dict[str, Any]:
         if not event.body:
             body = {}  # pragma: no cover
         elif isinstance(event.body, Mapping):
-            body = event.body  # type: ignore
+            body = event.body
         else:
             body = {'body': event.body}
         return {**body, **(event.attributes or {})}
diff --git a/tests/models/test_fallback.py b/tests/models/test_fallback.py
index 2d58fae71a..41c20d1e46 100644
--- a/tests/models/test_fallback.py
+++ b/tests/models/test_fallback.py
@@ -416,6 +416,7 @@ def test_all_failed_instrumented(capfire: CaptureLogfire) -> None:
                     'gen_ai.agent.name': 'agent',
                     'logfire.msg': 'agent run',
                     'logfire.span_type': 'span',
+                    'logfire.exception.fingerprint': '0000000000000000000000000000000000000000000000000000000000000000',
                     'pydantic_ai.all_messages': [{'role': 'user', 'parts': [{'type': 'text', 'content': 'hello'}]}],
                     'logfire.json_schema': {
                         'type': 'object',
diff --git a/tests/models/test_instrumented.py b/tests/models/test_instrumented.py
index 5112fb08f6..0ca74e123a 100644
--- a/tests/models/test_instrumented.py
+++ b/tests/models/test_instrumented.py
@@ -544,6 +544,7 @@ async def test_instrumented_model_stream_break(capfire: CaptureLogfire):
                     'gen_ai.usage.input_tokens': 300,
                     'gen_ai.usage.output_tokens': 400,
                     'operation.cost': 0.00475,
+                    'logfire.exception.fingerprint': '0000000000000000000000000000000000000000000000000000000000000000',
                     'logfire.level_num': 17,
                 },
                 'events': [

From 97fa5e04b6c30d6721902d4940e73b00a0468385 Mon Sep 17 00:00:00 2001
From: Alex Hall <alex.mojaki@gmail.com>
Date: Thu, 4 Dec 2025 17:23:58 +0200
Subject: [PATCH 5/7] Update
 pydantic_ai_slim/pydantic_ai/models/instrumented.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
---
 pydantic_ai_slim/pydantic_ai/models/instrumented.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/pydantic_ai_slim/pydantic_ai/models/instrumented.py b/pydantic_ai_slim/pydantic_ai/models/instrumented.py
index b6fa511c5f..46edec94ec 100644
--- a/pydantic_ai_slim/pydantic_ai/models/instrumented.py
+++ b/pydantic_ai_slim/pydantic_ai/models/instrumented.py
@@ -128,9 +128,9 @@ def __init__(
             event_mode: The mode for emitting events in version 1.
                 If `'attributes'`, events are attached to the span as attributes.
                 If `'logs'`, events are emitted as OpenTelemetry log-based events.
-            logger_provider: The OpenTelemetry event logger provider to use.
-                If not provided, the global event logger provider is used.
-                Calling `logfire.configure()` sets the global event logger provider, so most users don't need this.
+            logger_provider: The OpenTelemetry logger provider to use.
+                If not provided, the global logger provider is used.
+                Calling `logfire.configure()` sets the global logger provider, so most users don't need this.
                 This is only used if `event_mode='logs'` and `version=1`.
         """
         from pydantic_ai import __version__

From cd2c44c9fd689bc6df44c6fc76613cce5fb2082f Mon Sep 17 00:00:00 2001
From: Alex Hall <alex.mojaki@gmail.com>
Date: Thu, 4 Dec 2025 18:25:16 +0200
Subject: [PATCH 6/7] lower bound for logfire

---
 pydantic_ai_slim/pyproject.toml |  2 +-
 uv.lock                         | 92 ++++++++++++++++-----------------
 2 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/pydantic_ai_slim/pyproject.toml b/pydantic_ai_slim/pyproject.toml
index ce1250f9f2..1b503943c4 100644
--- a/pydantic_ai_slim/pyproject.toml
+++ b/pydantic_ai_slim/pyproject.toml
@@ -65,7 +65,7 @@ dependencies = [
 
 [tool.hatch.metadata.hooks.uv-dynamic-versioning.optional-dependencies]
 # WARNING if you add optional groups, please update docs/install.md
-logfire = ["logfire[httpx]>=3.14.1"]
+logfire = ["logfire[httpx]>=4.16.0"]
 # Models
 openai = ["openai>=1.107.2"]
 cohere = ["cohere>=5.18.0; platform_system != 'Emscripten'"]
diff --git a/uv.lock b/uv.lock
index aaf526c2ba..ae540998fb 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2842,7 +2842,7 @@ wheels = [
 
 [[package]]
 name = "logfire"
-version = "4.15.1"
+version = "4.16.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "executing" },
@@ -2854,9 +2854,9 @@ dependencies = [
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     { name = "typing-extensions" },
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 [[package]]
@@ -5664,7 +5664,7 @@ requires-dist = [
     { name = "groq", marker = "extra == 'groq'", specifier = ">=0.25.0" },
     { name = "httpx", specifier = ">=0.27" },
     { name = "huggingface-hub", extras = ["inference"], marker = "extra == 'huggingface'", specifier = ">=0.33.5,<1.0.0" },
-    { name = "logfire", extras = ["httpx"], marker = "extra == 'logfire'", specifier = ">=3.14.1" },
+    { name = "logfire", extras = ["httpx"], marker = "extra == 'logfire'", specifier = ">=4.16.0" },
     { name = "mcp", marker = "extra == 'mcp'", specifier = ">=1.18.0" },
     { name = "mistralai", marker = "extra == 'mistral'", specifier = ">=1.9.10" },
     { name = "openai", marker = "extra == 'openai'", specifier = ">=1.107.2" },

From 98ad33c6d85d8e8ebf61011016cb2e1196347480 Mon Sep 17 00:00:00 2001
From: Alex Hall <alex.mojaki@gmail.com>
Date: Thu, 4 Dec 2025 18:52:05 +0200
Subject: [PATCH 7/7] unskip

---
 tests/models/test_instrumented.py | 9 ---------
 1 file changed, 9 deletions(-)

diff --git a/tests/models/test_instrumented.py b/tests/models/test_instrumented.py
index 0ca74e123a..03f8d95700 100644
--- a/tests/models/test_instrumented.py
+++ b/tests/models/test_instrumented.py
@@ -8,7 +8,6 @@
 import pytest
 from inline_snapshot import snapshot
 from inline_snapshot.extra import warns
-from logfire_api import DEFAULT_LOGFIRE_INSTANCE
 from opentelemetry._logs import NoOpLoggerProvider
 from opentelemetry.trace import NoOpTracerProvider
 
@@ -55,11 +54,6 @@
     pytest.mark.anyio,
 ]
 
-requires_logfire_events = pytest.mark.skipif(
-    not hasattr(DEFAULT_LOGFIRE_INSTANCE.config, 'get_event_logger_provider'),
-    reason='old logfire without events/logs support',
-)
-
 
 class MyModel(Model):
     # Use a system and model name that have a known price
@@ -138,7 +132,6 @@ def timestamp(self) -> datetime:
         return datetime(2022, 1, 1)
 
 
-@requires_logfire_events
 async def test_instrumented_model(capfire: CaptureLogfire):
     model = InstrumentedModel(MyModel(), InstrumentationSettings(version=1, event_mode='logs'))
     assert model.system == 'openai'
@@ -378,7 +371,6 @@ async def test_instrumented_model_not_recording():
     )
 
 
-@requires_logfire_events
 async def test_instrumented_model_stream(capfire: CaptureLogfire):
     model = InstrumentedModel(MyModel(), InstrumentationSettings(version=1, event_mode='logs'))
 
@@ -481,7 +473,6 @@ async def test_instrumented_model_stream(capfire: CaptureLogfire):
     )
 
 
-@requires_logfire_events
 async def test_instrumented_model_stream_break(capfire: CaptureLogfire):
     model = InstrumentedModel(MyModel(), InstrumentationSettings(version=1, event_mode='logs'))