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summary: AWS Bedrock instrumentation (#2314)
feat: Add auto-instrumentation for AWS Bedrock feat: New configuration options are available specific to [AI monitoring](https://docs.newrelic.com/docs/apm/agents/net-agent/configuration/net-agent-configuration/#ai_monitoring). feat: A new AI monitoring related public API method has been added - [SetLlmTokenCountingCallback](https://docs.newrelic.com/docs/apm/agents/net-agent/net-agent-api/set-llm-token-counting-callback/) notice: 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. notice: 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 AWS Bedrock. notice: When AI monitoring is enabled, 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.
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