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westey
2025-10-01 17:43:17 +01:00
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python/samples/getting_started/observability/README.md
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@@ -106,7 +106,7 @@ This folder contains different samples demonstrating how to use telemetry in var
| Sample | Description |
|--------|-------------|
| [setup_observability_with_parameters.py](./setup_observability_with_parameters.py) | A simple example showing how to setup telemetry by passing in parameters to the `setup_observability()` function. |
| [setup_observability_with_env_vars.py](./setup_observability_with_env_vars.py) | A simple example showing how to setup telemetry with the `setup_observability()` function using environment variables. |
| [setup_observability_with_env_var.py](./setup_observability_with_env_var.py) | A simple example showing how to setup telemetry with the `setup_observability()` function using environment variables. |
| [agent_observability.py](./agent_observability.py) | A simple example showing how to setup telemetry for an agentic application. |
| [azure_ai_agent_observability.py](./azure_ai_agent_observability.py) | A simple example showing how to setup telemetry for an agentic application with an Azure AI project. |
| [azure_ai_chat_client_with_observability.py](./azure_ai_chat_client_with_observability.py) | A simple example showing how to setup telemetry for a chat client with an Azure AI project. |
@@ -244,4 +244,4 @@ Once your sample finishes running, navigate to <http://localhost:18888> in a web
You won't have to deploy an Application Insights resource or install Docker to run Aspire Dashboard if you choose to inspect telemetry data in a console. However, it is difficult to navigate through all the spans and logs produced, so **this method is only recommended when you are just getting started**.
Use the guides from OpenTelemetry to setup exporters for [the console](https://opentelemetry.io/docs/languages/python/getting-started/), or use [manual_setup_console_output](./manual_setup_console_output.py) as a reference, just know that there are a lot of options you can setup and this is not a comprehensive example.
Use the guides from OpenTelemetry to setup exporters for [the console](https://opentelemetry.io/docs/languages/python/getting-started/), or use [advanced_manual_setup_console_output](./advanced_manual_setup_console_output.py) as a reference, just know that there are a lot of options you can setup and this is not a comprehensive example.
python/samples/getting_started/workflows/README.md
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@@ -36,7 +36,8 @@ Once comfortable with these, explore the rest of the samples below.
|---|---|---|
| Azure Chat Agents (Streaming) | [agents/azure_chat_agents_streaming.py](./agents/azure_chat_agents_streaming.py) | Add Azure agents as edges and handle streaming events |
| Custom Agent Executors | [agents/custom_agent_executors.py](./agents/custom_agent_executors.py) | Create executors to handle agent run methods |
| Azure AI Chat Agents (Streaming) | [agents/azure_ai_chat_agents_streaming.py](./agents/azure_ai_chat_agents_streaming.py) | Add Azure AI agents as edges and handle streaming events |
| Azure AI Chat Agents (Streaming) | [agents/azure_ai_agents_streaming.py](./agents/azure_ai_agents_streaming.py) | Add Azure AI agents as edges and handle streaming events |
| Azure Chat Agents (Streaming) | [agents/azure_chat_agents_streaming.py](./agents/azure_chat_agents_streaming.py) | Add Azure Chat agents as edges and handle streaming events |
| Workflow as Agent (Reflection Pattern) | [agents/workflow_as_agent_reflection_pattern.py](./agents/workflow_as_agent_reflection_pattern.py) | Wrap a workflow so it can behave like an agent (reflection pattern) |
| Workflow as Agent + HITL | [agents/workflow_as_agent_human_in_the_loop.py](./agents/workflow_as_agent_human_in_the_loop.py) | Extend workflow-as-agent with human-in-the-loop capability |