feat: include documentation of dapr agents logging under Operations section + ref link from introduction

daprdocs/content/en/developing-applications/dapr-agents/dapr-agents-introduction.md

@@ -77,6 +77,7 @@ Dapr Agents inherits Dapr's enterprise-grade operational capabilities, providing
 ### Built-in Operational Features
 
 - **[Observability]({{% ref observability-concept.md %}})** - Distributed tracing, metrics collection, and logging for agent interactions and workflow execution
+- **[Logging for Dapr Agents]({{% ref "operations/observability/logging/dapr-agents.md" %}})** - Setup of logging and OpenTelemetry integration
 - **[Security]({{% ref security-concept.md %}})** - mTLS encryption, access control, and secrets management for secure agent communication
 - **[Resiliency]({{% ref resiliency-concept.md %}})** - Automatic retries, circuit breakers, and timeout policies for fault-tolerant agent operations
 - **[Infrastructure Abstraction]({{% ref components-concept.md %}})** - Dapr components abstract LLM providers, memory stores, storage and messaging backends, enabling seamless transitions between different environments

daprdocs/content/en/operations/observability/logging/dapr-agents.md

@@ -0,0 +1,54 @@
+---
+type: docs
+title: "How-To: Set up logging for Dapr Agents"
+linkTitle: "Dapr Agents"
+weight: 2000
+description: "How to set up logging for Dapr Agents"
+---
+
+## Prerequisites
+
+You'll need to make install the required packages:
+
+```sh
+openinference-instrumentation>=0.1.42
+openinference-semantic-conventions>=0.1.25
+opentelemetry-api>=1.39.0
+opentelemetry-exporter-otlp>=1.39.0
+opentelemetry-exporter-zipkin-json>=1.39.0
+opentelemetry-instrumentation-requests>=0.60b0
+opentelemetry-instrumentation-grpc>=0.60b0
+opentelemetry-proto>=1.39.0
+```
+
+## Setup
+
+Dapr Agents has bindings for using OpenTelemetry for instrumentation. This means you can use a common Python logger to set the required log level (`DEBUG`, `INFO`, `WARNING` and `ERROR`):
+
+```python
+import logging
+
+logging.basicConfig(level=logging.WARNING)
+```
+
+This log level will propagate to all third party libraries.
+
+### OpenTelemetry integration
+
+Dapr Agents support OpenTelemetry by setting the appropriate provider and processor:
+
+```python
+from opentelemetry import _logs
+from opentelemetry.sdk._logs import LoggerProvider
+from opentelemetry.sdk._logs.export import BatchLogRecordProcessor, ConsoleLogRecordExporter
+from dapr_agents.observability import DaprAgentsInstrumentor
+
+logger_provider = LoggerProvider()
+log_processor = BatchLogRecordProcessor(ConsoleLogRecordExporter())
+logger_provider.add_log_record_processor(log_processor)
+_logs.set_logger_provider(logger_provider)
+instrumentor = DaprAgentsInstrumentor()
+instrumentor.instrument(logger_provider=logger_provider, skip_dep_check=True)
+```
+
+Please refer to the current release level for the [Python SDK of OpenTelemetry](https://opentelemetry.io/docs/languages/python/) as the logs API is currently in `development` state.

daprdocs/content/en/operations/observability/logging/fluentd.md

@@ -2,7 +2,7 @@
 type: docs
 title: "How-To: Set up Fluentd, Elastic search and Kibana in Kubernetes"
 linkTitle: "FluentD"
-weight: 2000
+weight: 3000
 description: "How to install Fluentd, Elastic Search, and Kibana to search logs in Kubernetes"
 ---
 

daprdocs/content/en/operations/observability/logging/newrelic.md

@@ -2,7 +2,7 @@
 type: docs
 title: "How-To: Set-up New Relic for Dapr logging"
 linkTitle: "New Relic"
-weight: 3000
+weight: 4000
 description: "Set-up New Relic for Dapr logging"
 ---