Python: Streaming sample for azurefunctions

python/samples/README.md

@@ -236,7 +236,7 @@ The recommended way to use Ollama is via the native `OllamaChatClient` from the
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 | [`getting_started/azure_functions/01_single_agent/`](./getting_started/azure_functions/01_single_agent/) | Host a single agent in Azure Functions with Durable Extension HTTP endpoints and per-session state. |
 | [`getting_started/azure_functions/02_multi_agent/`](./getting_started/azure_functions/02_multi_agent/) | Register multiple agents in one function app with dedicated run routes and a health check endpoint. |
-| [`getting_started/azure_functions/03_callbacks/`](./getting_started/azure_functions/03_callbacks/) | Capture streaming response telemetry via Durable Extension callbacks exposed through HTTP APIs. |
+| [`getting_started/azure_functions/03_reliable_streaming/`](./getting_started/azure_functions/03_reliable_streaming/) | Implement reliable streaming for durable agents using Redis Streams with cursor-based resumption. |
 | [`getting_started/azure_functions/04_single_agent_orchestration_chaining/`](./getting_started/azure_functions/04_single_agent_orchestration_chaining/) | Chain sequential agent executions inside a durable orchestration while preserving the shared thread context. |
 | [`getting_started/azure_functions/05_multi_agent_orchestration_concurrency/`](./getting_started/azure_functions/05_multi_agent_orchestration_concurrency/) | Run two agents concurrently within a durable orchestration and combine their domain-specific outputs. |
 | [`getting_started/azure_functions/06_multi_agent_orchestration_conditionals/`](./getting_started/azure_functions/06_multi_agent_orchestration_conditionals/) | Route orchestration logic based on structured agent responses for spam detection and reply drafting. |