Application Real-Time Monitoring Service:Release notes for the Python agent

Version

Release date

Release notes

2.1.2

November 24, 2025

New features

• Supports the Milvus vector database. For more information, see Supported Python components and frameworks for ARMS Application Monitoring.

• Supports observability data collection for Dify Plugin processes. For more information, see Supported Python components and frameworks for ARMS Application Monitoring.

• Supports the BlackSheep framework. For more information, see Supported Python components and frameworks for ARMS Application Monitoring.

• Supports metric aggregation for the Falcon, Starlette, gRPC, and MySQL frameworks. For more information, see Supported Python components and frameworks for ARMS Application Monitoring.

• Supports the RagFlow framework. For more information, see Supported Python components and frameworks for ARMS Application Monitoring.

• Supports associating logs with TraceIDs when you use the Loguru framework. For more information, see Supported Python components and frameworks for ARMS Application Monitoring.

Fixed issues

• Fixed an issue of repeated token counts when using the LangChain framework with the OpenAI or DashScope frameworks.

• Fixed an issue where the plugin switch in the console did not work.

• Fixed an issue where some plugin enhancements failed in Python 3.8 environments.

• Fixed an issue where the garbage collection (GC) count for instance monitoring was a negative value.

2.0.0

October 13, 2025

New features

• Added support for multiple plugins, such as Google ADK, Tornado, and vLLM v1. For more information, see Supported Python components and frameworks for ARMS Application Monitoring.

• Supports controlling the collection of model conversation history in logs. For more information, see Control the collection of conversation history for LLM applications.

• Aligned the input/output data collection of the OpenAI plugin with the latest semantic specifications and supports configuring the maximum length for large model content collection. For more information, see Semantic specification change history for LLM applications.

• Differentiates Dify applications by workspace when splitting them. For more information, see Register LLM applications or inference services with ARMS

Fixed issues

• Optimized agent log printing to avoid conflicts with user loggers.

• Fixed an issue with agent workspace calculation.

1.8.3

September 19, 2025

New features

• Supports limiting the length of message content fields using environment variables. For more information, see Limit the length of message content fields.

Fixed issues

• Unified OpenAI-related loggers to improve the consistency of Log Management.

• Fixed the abnormal behavior that occurred when ARMS_WORKSPACE was empty.

1.8.2

September 12, 2025

New features

• Optimized the input/output display format of the Langchain plugin for LLM spans. For more information, see LLM trace field definitions.

• The OpenAI plugin supports collecting metrics such as the number of LLM requests, number of errors, latency, and token consumption. For more information, see LLM metrics.

• The OpenAI plugin supports non-UTF-8 character input.

• Added a switch to the Langchain plugin to enable or disable input/output content collection. For more information, see Register LLM applications or inference services with ARMS.

Fixed issues

• Filtered out observability data generated by requests related to ECS metadata in external calls to prevent this data from interfering with user queries.

• Fixed an issue where the Python agent failed to redirect to instance monitoring in Cloud Monitor 2.0.

• Fixed an issue where spans could not be reported when the Python agent was used with a later version of the Langfuse SDK.

• Fixed an issue where error logs were printed to standard output in non-cloud environments.

• Fixed package conflicts related to `aliyun` in non-intrusive registration scenarios.

• Fixed a potential resource leak issue when the agent runs for a long time.

• Fixed a slow startup issue in some scenarios with network connectivity problems.

1.8.0

August 15, 2025

New features

• Compatible with later versions of opentelemetry-api (<=1.35.0). For more information, see Python libraries supported by Application Monitoring.

• Supports associating K8s/ECS metadata to enhance monitoring capabilities in cloud environments.

• Supports distributed tracing (propagate feature) for the MCP protocol.

• Supports MCP version 1.12.4. For more information about supported versions, see Supported components.

• Supports SGLang version 0.4.9.post6. For more information about supported versions, see Supported components.

• Supports using LangChain to obtain user information such as `sessionid` and `userid`.

• The OpenAI/LangChain plugins now support filtering Base64-encoded image data to avoid reporting large amounts of image data.

Fixed issues

• Fixed a memory leak issue in the Flask plugin in multi-process scenarios.

• Fixed errors and repeated injection issues when using gevent with Dify.

• Fixed an issue where SGLang could not be used with version 0.4.6.

• Fixed an error caused by a `None` value during registration under specific conditions.

• Fixed a compatibility issue with the OpenAI plugin for Python versions earlier than 3.11.

• Pinned the cramjam version to 2.10.0 to fix a dependency library conflict in Python 3.8.

• Fixed a potential trace breaking issue in LangChain single-node mode.

• Unified the log level for agent loading exceptions to improve the troubleshooting experience.

1.6.1

July 28, 2025

Fixed issues

• Fixed an issue where the agent unexpectedly reported self-monitoring logs over the Internet when health checks failed.

1.6.0

July 22, 2025

New features

• Supports the SGLang large language model inference framework. For more information, see Enable observability for vLLM/SGLang inference engines.

• Supports the MCP framework. For more information, see Supported Python components and frameworks for ARMS Application Monitoring.

• Supports Dify version 1.4.0. For registration instructions, see Register Dify applications with ARMS Application Monitoring.

• Supports specifying a log path for the agent. For more information, see FAQ about the Python agent.

• Supports specifying the Python application type. For more information, see Register LLM applications or inference services with ARMS.

Fixed issues

• Fixed an issue where the latency statistics of the Flask plugin were inaccurate.

• Fixed an issue where the exception count of the Flask plugin was inaccurate.

• Fixed a failure in detecting the LLM application type.

• Fixed an issue where incorrect exception information was displayed when the OpenAI plugin call was abnormal.

• Fixed an occasional token calculation error in the LangChain plugin.

1.5.1

July 9, 2025

New features

• The Dify plugin supports the latest version of the OTel specification. For more information, see the PR for the specification to be merged.

• Supports reporting data to Cloud Monitor 2.0.

Fixed issues

• Fixed a trace breaking issue for Chat/Completion applications in the Dify plugin.

• Fixed an incompatibility error in the Dify plugin when starting a service using gevent.

• Fixed a failure in connecting upstream and downstream traces in some scenarios.

• Fixed package conflicts with other Alibaba Cloud third-party dependencies in some scenarios.

1.4.0

June 23, 2025

New features

• The Dify plugin supports version 1.3.0 and includes a switch to enable or disable input/output content collection.

Fixed issues

• Removed grpc-exporter-related dependencies to reduce the possibility of dependency conflicts.

• Fixed an issue where user calls failed in DashScope streaming scenarios.

• Fixed an attributes warning caused by `None` and prevented Nacos error logs from being printed to standard output by default.

• Fixed an issue where the `span.kind` task was lost in Dify workflows.

• Fixed a duplicate input/output issue in the Dify plugin.

• Fixed an issue where the response was unexpected during OpenAI asynchronous invocations.

1.3.1

May 23, 2025

Fixed issues

• Fixed an issue where metadata, such as the service name, was occasionally not obtained when the agent reported data.

• Fixed an issue where the Python agent version number was displayed incorrectly.

1.3.0

April 23, 2025

New features

• Supports instance-level and application-level tags.

• Supports distinguishing between LLM applications and LLM services.

Fixed issues

• Limited the supported scope of the Dify framework to prevent call errors when users use a Dify framework version that is not supported by the agent.

1.2.0

March 13, 2025

New features

• Added the vLLM plugin.

• Added LLM metrics to the Langchain plugin.

• Supports Python 3.12.

Fixed issues

• Resolved a compatibility issue with the OpenTelemetry API.

• Fixed an issue where the Langchain plugin changed the log level.

• Fixed an issue where prompt information was not collected by the Langchain plugin.

1.1.0

January 06, 2025

• Supports the Dify plugin.

• Supports the HTTPX plugin.

• Supports associating application logs with trace IDs. For more information, see Associate trace IDs with Python application logs.

• The OpenAI plugin supports large language model (LLM) application metrics.

• The LlamaIndex plugin supports large language model (LLM) application metrics.

• The LlamaIndex plugin supports the time-to-first-packet metric.

• Fixed incorrect labels for Flask metrics.

• Fixed an issue where TraceId and SpanId values were duplicated when using the Random operator.

• Fixed compatibility issues between the agent and the OpenTelemetry package.

1.0.0

September 24, 2024

• Supports non-intrusive registration of Python applications with ARMS Application Monitoring to provide features such as Tracing Analysis, performance monitoring, and intelligent Alerting.