diff --git a/CHANGELOG.md b/CHANGELOG.md
index a9b75e1f1..619b051cc 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,3 +1,34 @@
+## 3.31.0
+### Added
+ * 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.
+    * New package nropenai v1.0.0 introduced to instrument OpenAI model invocations. 
+
+### AI Monitoring Configuration
+New configuration options are available specific to [AI monitoring](<ng agent config docs>). These settings include:
+   * `AIMonitoring.Enabled`, configured via `ConfigAIMonitoring.Enabled(`_bool_`)` [default `false`]
+   * `AIMonitoring.Streaming.Enabled`, configured via `ConfigAIMonitoringStreamingEnabled(`_bool_`)` [default `true`]
+   * `AIMonitoring.Content.Enabled`, configured via `ConfigAIMonitoringContentEnabled(`_bool_`)` [default `true`]
+
+### AI Monitoring Public API Methods
+Two new AI monitoring related public API methods have been added, as methods of the `newrelic.Application` value returned by `newrelic.NewApplication`:
+   * [app.RecordLLMFeedbackEvent](https://pkg.go.dev/github.com/newrelic/go-agent/v3/newrelic#Application.RecordLLMFeedbackEvent)
+   * [app.SetLLMTokenCountCallback](https://pkg.go.dev/github.com/newrelic/go-agent/v3/newrelic#Application.SetLLMTokenCountCallback)
+
+### AI Monitoring
+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](https://pkg.go.dev/github.com/newrelic/go-agent/v3/integrations/nropenai)
+and [Bedrock](https://pkg.go.dev/github.com/newrelic/go-agent/v3/integrations/nrawsbedrock).
+
+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](https://docs.newrelic.com/docs/ai-monitoring/intro-to-ai-monitoring/) 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](https://docs.newrelic.com/docs/apm/agents/go-agent/get-started/go-agent-eol-policy/) for details about supported versions of the Go agent and third-party components.
+
+
+
 ## 3.30.0
 ### Added
  * Updated the depencency on nrsecurityagent to 1.0.0.
diff --git a/v3/newrelic/version.go b/v3/newrelic/version.go
index 5e1658b1c..4a34de8eb 100644
--- a/v3/newrelic/version.go
+++ b/v3/newrelic/version.go
@@ -11,7 +11,7 @@ import (
 
 const (
 	// Version is the full string version of this Go Agent.
-	Version = "3.30.0"
+	Version = "3.31.0"
 )
 
 var (