Notes
This release of the Python agent makes the following changes:
- Removes support for Python 3.7
- Removes and or deprecates various APIs and settings
- Deprecates aioredis instrumentation
- Raises the minimum supported version of
setuptools
andsetuptools_scm
- Adds new instrumentation for AutoGen
- Adds new instrumentation for Pyzeebe
- Adds new MCP (Model Context Protocol) named spans
- Fixes a crash in psycopg
- Ensures MCP spans are only recorded when AI monitoring is enabled
Install the agent using easy_install/pip/distribute
via the Python Package Index or download it directly from the New Relic download site.
Removed features
Removes support for Python 3.7
- Python 3.7 was EOL'd June 27, 2023. The Python agent has dropped support for it.
Removes various deprecated APIs
The following APIs have been removed:
Legacy API Replacement API accept_distributed_trace_payload
accept_distributed_trace_headers
add_custom_parameter
add_custom_attribute
add_custom_parameters
add_custom_attributes
create_distributed_trace_payload
insert_distributed_trace_headers
get_browser_timing_footer
The functionality of this has been wrapped into get_browser_timing_header()
record_exception
notice_error()
NewRelicLogHandler
NewRelicLogForwardingHandler
lambda_handler
&LambdaHandlerWrapper
These APIs have moved to the newrelic-lambda
package.
Removes various deprecated settings
The following settings have been removed:
Legacy Setting Replacement Setting transaction_tracer.capture_attributes
transaction_tracer.attributes.enabled
error_collector.capture_attributes
error_collector.attributes.enabled
browser_monitoring.capture_attributes
browser_monitoring.attributes.enabled
analytics_events.enabled
transaction_events.enabled
analytics_events.capture_attributes
transaction_events.attributes.enabled
error_collector.ignore_errors
error_collector.ignore_classes
strip_exception_messages.whitelist
strip_exception_messages.allowlist
ssl
This is now hardcoded to true
so it has been removed as a setting option.ignored_params
Use newrelic.attributes.exclude = request.parameters.{name}
instead. Add each request parameter key to thenewrelic.attributes.exclude
list, delimited by commas. Be sure to prepend the key withrequest.parameters
.agent_limits.merge_stats_maximum
This is now completely ignored in favor of serverside config.
Deprecated features
Instrumentation for aioredis has been deprecated
Deprecates some existing harvest settings to match other language agents
In order to be more consistent with the conventions of the other language agents, the following harvest settings are now deprecated:
Legacy Setting Replacement Setting event_harvest_config.harvest_limits.analytic_event_data
transaction_events.max_samples_stored
event_harvest_config.harvest_limits.span_event_data
span_events.max_samples_stored
event_harvest_config.harvest_limits.error_event_data
error_collector.max_event_samples_stored
event_harvest_config.harvest_limits.custom_event_data
custom_insights_events.max_samples_stored
event_harvest_config.harvest_limits.log_event_data
application_logging.forwarding.max_samples_stored
This is a revert of a previous change that renamed these settings from
*.max_samples_stored
to theevent_harvest_config.harvest_limits.*
form. This decision has been reversed, and the original settings named have been restored to match the other language agents who did not change these settings names. The deprecated settings will continue to work for now, but they will be removed in a future release.
Deprecates configuration of the agent through the WSGI environ dictionary
The following settings which were previously possible to configure through the WSGI environ dictionary are now deprecated. Please configure these settings through environment variables or the config file.
newrelic.set_background_task
newrelic.suppress_apdex_metric
newrelic.suppress_transaction_trace
newrelic.capture_request_params
newrelic.disable_browser_autorum
Deprecates support for building the agent with
setuptools<61.2
orsetuptools_scm<6.4
- The minimum supported versions of
setuptools
andsetuptools_scm
have been increased to61.2
and6.4
respectively. This is to support the use ofpyproject.toml
for configuring the package metadata and building instructions. The agent can now be built with more modern build tools which will no longer log warnings about the lack of apyproject.toml
file. - This change adds new version attributes to the packages,
newrelic.__version__
andnewrelic.__version_tuple__
, which can be used to programmatically check the version of the agent at runtime.
- The minimum supported versions of
New features
Adds new instrumentation for AutoGen
- Adds instrumentation (named spans and custom
Llm
events) for agents and tools in AutoGen
- Adds instrumentation (named spans and custom
Adds new instrumentation for Pyzeebe
- Adds automatic instrumentation and framework-specific agent attributes for Pyzeebe
Adds new MCP (Model Context Protocol) named spans
- Adds new named spans for MCP (Model Context Protocol) tool calls made via tool manager to support Streamable HTTP
Bug fixes
Fixes a crash in
psycopg>=3.2.0
when callingas_string()
- Fixes an issue in
psycopg>=3.2.0
where theas_string()
method no longer required arguments, causing a potential crash. This has been fixed, and both signatures of this method are supported.
- Fixes an issue in
Ensures MCP (Model Context Protocol) spans are only recorded when AI monitoring is enabled
- Ensures MCP (Model Context Protocol) spans are only recorded when the setting
ai_monitoring.enabled
is enabled.
- Ensures MCP (Model Context Protocol) spans are only recorded when the setting
Support statement
We recommend updating to the latest agent version as soon as it's available. If you can't upgrade to the latest version, update your agents to a version no more than 90 days old. Read more about keeping agents up to date.
See the New Relic Python agent EOL policy for information about agent releases and support dates.
Notes
This release of the Python agent adds support for the following:
- Custom tasks in Celery
- Graphene-Django monitoring
- Middleware filtering in Django
- AWS Bedrock Converse API
- W3CTraceParent header sampled flag
This release also provides the following fixes:
- Safeguards for the deepest unique path in GraphQL
- Safeguards for web URL request parsing
- Fallback for ElasticSearch and GraphQL when
trace.settings==None
- Remove
options
method from async ElasticSearch client list
Install the agent using easy_install/pip/distribute
via the Python Package Index or download it directly from the New Relic download site.
New features
Adds support for custom tasks in Celery
Adds support for Graphene-Django
- Add monitoring support for synchronous schemas created with Graphene-Django. Previously, schemas created with Graphene-Django would only be partially monitored, resulting in missing GraphQL related attributes.
Adds support for middleware filtering in Django
Users are now able to filter which Django middleware to monitor. There are now three additional settings:
instrumentation.middleware.django.enabled
(Default istrue
)instrumentation.middleware.django.exclude
instrumentation.middleware.django.include
See the Django Middleware Filtering page for more information and examples.
Adds support for AWS Bedrock Converse API
- Add monitoring support for non-streaming Converse API. This includes support for
converse
chat completion calls made usingboto3
andaioboto3
clients.
- Add monitoring support for non-streaming Converse API. This includes support for
Adds support for W3CTraceParent header sampled flag
- When an upstream service sends the W3CTraceParent header with the sampling flag set, New Relic will take into account that sampling decision when deciding whether the current transaction will be sampled.
Added support for sampling decisions based on whether the remote parent is sampled
Added support for two new configuration options:
distributed_tracing.sampler.remote_parent_sampled
distributed_tracing.sampler.remote_parent_not_sampled
default
is the default behavior and behaves as it did before this change (it passes the sampling decision to the adaptive sampling algorithm to determine whether the transaction will be sampled).always_on
means that the trace that has a remote parent sampled or remote parent not sampled will always be sampled.always_off
means that the trace that has a remote parent sampled or remote parent not sampled will never be sampled.
Bug fixes
Add safeguard for deepest unique path in GraphQL
- Some users were experiencing issues with the deepest unique path in GraphQL not being generated due to a field name returning
None
. This issue has been fixed.
- Some users were experiencing issues with the deepest unique path in GraphQL not being generated due to a field name returning
Add safeguard for web request parsing
- Some users experienced a parsing error when
request_uri
was malformed or contained invalid characters. This can happen at this point if therequest_uri
in the request header is invalid and does not match the (valid) URL originally given. While this safeguard has now been put in place in New Relic,urllib
has resolved this issue for versions of Python released after Jan 31, 2025.
- Some users experienced a parsing error when
Fix crash in ElasticSearch and GraphQL when
trace.settings==None
- In cases where
trace.settings
isNone
, the instrumentation for ElasticSearch crashed the application. Aglobal_settings
fallback has been put in place. This also resolves the same issue found in GraphQL.
- In cases where
Remove
options
method from async ElasticSearch client list- The previous instrumentation of ElasticSearch caused a crash because
options
was in the list of async methods. This method is no longer wrapped in aDatastoreTrace
since it is not one that conducts any datastore operations/requests.
- The previous instrumentation of ElasticSearch caused a crash because
Support statement
We recommend updating to the latest agent version as soon as it's available. If you can't upgrade to the latest version, update your agents to a version no more than 90 days old. Read more about keeping agents up to date.
See the New Relic Python agent EOL policy for information about agent releases and support dates.
Notes
This release of the Python agent adds support for new Redis functions, convert all internal paths from os.path
to pathlib.Path
, and fixes an issue with JSON encoding PosixPaths.
Install the agent using easy_install/pip/distribute
via the Python Package Index or download it directly from the New Relic download site.
New features
Adds support for new Redis functions
- Add instrumentation for new Redis functions.
Convert all internal paths from
os.path
topathlib.Path
- Convert all internal usage of string based paths and
os.path
topathlib.Path
in preparation to support Windows paths.
- Convert all internal usage of string based paths and
Bug fixes
Fix issue with JSON encoding PosixPath
- Some users were experiencing issues with JSON encoding
PosixPath
configuration settings. This issue has been fixed.
- Some users were experiencing issues with JSON encoding
Support statement
We recommend updating to the latest agent version as soon as it's available. If you can't upgrade to the latest version, update your agents to a version no more than 90 days old. Read more about keeping agents up to date.
See the New Relic Python agent EOL policy for information about agent releases and support dates.
Notes
This release of the Python agent adds support for oracledb, fixes a bug in Kombu and Kafka where MessageTransaction
object has no attribute destination_name
, and fixes the disappearance of utilization metadata with AWS.
Install the agent using easy_install/pip/distribute
via the Python Package Index or download it directly from the New Relic download site.
New features
Adds support for oracledb
- Add instrumentation for oracledb.
Bug fixes
Fix "
MessageTransaction
object has no attributedestination_name
" bug- Fix a bug in MessageBroker instrumentations where the serialize methods were looking for the
destination_name
attribute on theMessageTransaction
and it did not exist.
- Fix a bug in MessageBroker instrumentations where the serialize methods were looking for the
Fix AWS utilization metadata issue when running AWS and K8s together
- Due to permissions settings in K8s pods running on AWS EC2 instances, the utilization metadata is able to be retrieved the first time. However, if the application is left running continuously, the agent will reconnect and the utilization metadata fails to load. In cases like these, the utilization metadata is cached per agent instance and is able to be retrieved.
Support statement
We recommend updating to the latest agent version as soon as it's available. If you can't upgrade to the latest version, update your agents to a version no more than 90 days old. Read more about keeping agents up to date.
See the New Relic Python agent EOL policy for information about agent releases and support dates.
Notes
This release of the Python agent adds support for Azure Function Apps and protobuf v6.
Install the agent using easy_install/pip/distribute
via the Python Package Index or download it directly from the New Relic download site.
New features
Adds support for Azure Function Apps
- Adds support for Azure Function Apps for HTTPTrigger types.
Bug fixes
Adds pb2 files to enable protobuf v6 support
- Previously, several google packages were not compatible with New Relic due to the lack of protobuf v6 support. This has now been resolved.
Support statement
We recommend updating to the latest agent version as soon as it's available. If you can't upgrade to the latest version, update your agents to a version no more than 90 days old. Read more about keeping agents up to date.
See the New Relic Python agent EOL policy for information about agent releases and support dates.
Notes
This release of the Python agent adds support for the Model Context Protocol (MCP) and fixes import logic for importlib.metadata
and pkg_resources
.
Install the agent using easy_install/pip/distribute
via the Python Package Index or download it directly from the New Relic download site.
New features
Add support for Model Context Protocol (MCP)
Bug fixes
Fix import logic for
importlib.metadata
andpkg_resources
- Updates logic around import of
importlib.metadata
to also attempt to use theimportlib_metadata
backport before falling back topkg_resources.*
. This also removes use ofsys.version
conditionals and fixes issues where Python 3.9 could only usepkg_resources
despite havingimportlib.metadata
available.
- Updates logic around import of
Support statement
We recommend updating to the latest agent version as soon as it's available. If you can't upgrade to the latest version, update your agents to a version no more than 90 days old. Read more about keeping agents up to date.
See the New Relic Python agent EOL policy for information about agent releases and support dates.
Notes
This release of the Python agent adds support for Redis v6.0.0 and fixes conflicts with the opentelemetry-proto package.
Install the agent using easy_install/pip/distribute
via the Python Package Index or download it directly from the New Relic download site.
New features
Add support for Redis v6.0.0
- Adds support for all client methods introduced in Redis v6.0.0.
Bug fixes
Fix conflicts with opentelemetry-proto package
- Fixes an issue where the agent's internal copy of opentelemetry-proto would conflict with any other packages relying on opentelemetry-proto (such as ChromaDB). This should now be treated as a separate package by OpenTelemetry and prevent any conflicts.
Support statement
We recommend updating to the latest agent version as soon as it's available. If you can't upgrade to the latest version, update your agents to a version no more than 90 days old. Read more about keeping agents up to date.
See the New Relic Python agent EOL policy for information about agent releases and support dates.
Notes
This release of the Python agent adds support for Google Gemini via the Google Generative AI SDK and instruments new Kinesis methods.
Install the agent using easy_install/pip/distribute
via the Python Package Index or download it directly from the New Relic download site.
New features
Add support for Google Gemini via Google Generative AI SDK
- Adds support for google-genai. The agent will automatically instrument
embed_content
calls for synchronous and asynchronous embeddings. The agent also now supports synchronous and asynchronous text generations for text inputs in non-streaming cases. This includes calls made togenerate_content
for single text-only inputs and calls tosend_message
for multi-turn conversations.
- Adds support for google-genai. The agent will automatically instrument
Instrument new AWS Kinesis methods
- Adds botocore instrumentation to support new AWS Kinesis methods including
tag_resource
,untag_resource
, andlist_tags_for_resource
.
- Adds botocore instrumentation to support new AWS Kinesis methods including
Support statement
We recommend updating to the latest agent version as soon as it's available. If you can't upgrade to the latest version, update your agents to a version no more than 90 days old. Read more about keeping agents up to date.
See the New Relic Python agent EOL policy for information about agent releases and support dates.
Notes
This release of the Python agent adds support for async elasticsearch, fixes a graphql configuration parsing issue, fixes a bug in the Kombu instrumentation and re-enables the Kombu instrumentation.
Install the agent using easy_install/pip/distribute
via the Python Package Index or download it directly from the New Relic download site.
New features
Add async support for elasticsearch
- Adds support for async elasticsearch. Thanks fagnerzulin for the contribution!
Bug fixes
Add parsing of graphql config setting
- Previously, when the setting
instrumentation.graphql.capture_introspection_queries
was set in the config file, this setting did not take effect. This has been fixed.
- Previously, when the setting
Fix crash in Kombu when running with Sentry
- Fixes a crash in Kombu instrumentation where a
TypeError
was raised from theinspect
module. This bug was due to a conflict in wrapping between New Relic and Sentry. The Kombu instrumentation has also been re-enabled.
- Fixes a crash in Kombu instrumentation where a
Support statement
We recommend updating to the latest agent version as soon as it's available. If you can't upgrade to the latest version, update your agents to a version no more than 90 days old. Read more about keeping agents up to date.
See the New Relic Python agent EOL policy for information about agent releases and support dates.
Notes
This release of the Python agent adds OpenTelemetry compatible datastore span attribute names, fixes a bug in LangChain instrumentation, and temporarily disables Kombu instrumentation.
Install the agent using easy_install/pip/distribute
via the Python Package Index or download it directly from the New Relic download site.
New features
Add OpenTelemetry compatible datastore span attributes
- The datastore span attributes are now more consistent with OpenTelemetry naming conventions
Bug fixes
Fix LangChain instrumentation for string response types
- Previously, when LangChain returned string-type responses, the agent only captured the first character of the string. This has been corrected.
Disable Kombu instrumentation
- Existing Kombu instrumentation in the agent is crashing with a
TypeError
being raised from theinspect
module. This instrumentation has been temporarily disabled and will be re-enabled in a future release once the root cause of the crash is identified and patched.
- Existing Kombu instrumentation in the agent is crashing with a
Support statement
We recommend updating to the latest agent version as soon as it's available. If you can't upgrade to the latest version, update your agents to a version no more than 90 days old. Read more about keeping agents up to date.
See the New Relic Python agent EOL policy for information about agent releases and support dates.