🛡️ A private certificate authority (X.509 & SSH) & ACME server for secure automated certificate management, so you can use TLS everywhere & SSO for SSH.
Integration packages to instrument AI model invocations (see below).
New package nrawsbedrock v1.0.0 introduced to instrument calls to Amazon Bedrock Runtime Client API InvokeModel and InvokeModelWithResponseStream calls. Also provides a simple one-step method which invokes stream invocations and harvests the response stream data for you.
New package nropenai v1.0.0 introduced to instrument calls to OpenAI using NRCreateChatCompletion, NRCreateChatCompletionStream, and NRCreateEmbedding calls.
Dockerfile in the examples/server sample app which facilitates the easy creation of a containerized ready-to-run sample app for situations where that makes testing easier.
New Relic AI monitoring is the industry’s first APM solution that provides end-to-end visibility for AI Large Language Model (LLM) applications. It enables end-to-end visibility into the key components of an AI LLM application. With AI monitoring, users can monitor, alert, and debug AI-powered applications for reliability, latency, performance, security and cost. AI monitoring also enables AI/LLM specific insights (metrics, events, logs and traces) which can easily integrate to build advanced guardrails for enterprise security, privacy and compliance.
AI monitoring offers custom-built insights and tracing for the complete lifecycle of an LLM’s prompts and responses, from raw user input to repaired/polished responses. AI monitoring provides built-in integrations with popular LLMs and components of the AI development stack. This release provides instrumentation for OpenAI
and Bedrock.
When AI monitoring is enabled with ConfigAIMonitoringEnabled(true), the agent will now capture AI LLM related data. This data will be visible under a new APM tab called AI Responses. See our AI Monitoring documentation for more details.
Support statement
We use the latest version of the Go language. At minimum, you should be using no version of Go older than what is supported by the Go team themselves.
See the Go agent EOL Policy for details about supported versions of the Go agent and third-party components.
Integration packages to instrument AI model invocations (see below).
New package nrawsbedrock v1.0.0 introduced to instrument calls to Amazon Bedrock Runtime Client API InvokeModel and InvokeModelWithResponseStream calls. Also provides a simple one-step method which invokes stream invocations and harvests the response stream data for you.
New package nropenai v1.0.0 introduced to instrument calls to OpenAI using NRCreateChatCompletion, NRCreateChatCompletionStream, and NRCreateEmbedding calls.
Dockerfile in the examples/server sample app which facilitates the easy creation of a containerized ready-to-run sample app for situations where that makes testing easier.
New Relic AI monitoring is the industry’s first APM solution that provides end-to-end visibility for AI Large Language Model (LLM) applications. It enables end-to-end visibility into the key components of an AI LLM application. With AI monitoring, users can monitor, alert, and debug AI-powered applications for reliability, latency, performance, security and cost. AI monitoring also enables AI/LLM specific insights (metrics, events, logs and traces) which can easily integrate to build advanced guardrails for enterprise security, privacy and compliance.
AI monitoring offers custom-built insights and tracing for the complete lifecycle of an LLM’s prompts and responses, from raw user input to repaired/polished responses. AI monitoring provides built-in integrations with popular LLMs and components of the AI development stack. This release provides instrumentation for OpenAI
and Bedrock.
When AI monitoring is enabled with ConfigAIMonitoringEnabled(true), the agent will now capture AI LLM related data. This data will be visible under a new APM tab called AI Responses. See our AI Monitoring documentation for more details.
Support statement
We use the latest version of the Go language. At minimum, you should be using no version of Go older than what is supported by the Go team themselves.
See the Go agent EOL Policy for details about supported versions of the Go agent and third-party components.
Commits
cb651c4 Merge pull request #888 from nr-swilloughby/Release_3.31.0
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Bumps github.com/newrelic/go-agent/v3 from 3.30.0 to 3.31.0.
Release notes
Sourced from github.com/newrelic/go-agent/v3's releases.
Changelog
Sourced from github.com/newrelic/go-agent/v3's changelog.
Commits
cb651c4
Merge pull request #888 from nr-swilloughby/Release_3.31.027d840e
staged for release1a00203
Add request.model attribute to NRCreateChatCompletion test (#887)2845089
Merge pull request #882 from nr-swilloughby/release_3_31_0471c1f3
updated release notesb6e465e
Fix finish reason string formatting in NRCreateChatCompletionSummary (#886)6bf0dab
Merge pull request #858 from nr-swilloughby/dockerizedserver742f90f
Bump google.golang.org/protobuf from 1.32.0 to 1.33.0 in /v3/integrations/nrm...819313c
Bump google.golang.org/protobuf in /v3/integrations/nrgrpc (#868)dbc2a31
Bump github.com/jackc/pgx/v5 from 5.0.3 to 5.5.4 in /v3/integrations/nrpgx5 (...Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
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