Docs/release 0.175.0 docs (#3441)

* docs(install): note OpenAI SDK requirement openai>=1.13.3 for 0.175.0

* docs(cli): document device-code login and config reset guidance; renumber sections

* docs(flows): document conditional @start and resumable execution semantics

* docs(tasks): move max_retries to deprecation note under attributes table

* docs: provider-neutral RAG client config; entity memory batching; trigger payload note; tracing batch manager

* docs(cli): fix duplicate numbering (renumber Login/API Keys/Configuration sections)

docs/en/guides/flows/mastering-flow-state.mdx

@@ -348,6 +348,31 @@ class SelectivePersistFlow(Flow):
 
 ## Advanced State Patterns
 
+### Conditional starts and resumable execution
+
+Flows support conditional `@start()` and resumable execution for HITL/cyclic scenarios:
+
+```python
+from crewai.flow.flow import Flow, start, listen, and_, or_
+
+class ResumableFlow(Flow):
+    @start()  # unconditional start
+    def init(self):
+        ...
+
+    # Conditional start: run after "init" or external trigger name
+    @start("init")
+    def maybe_begin(self):
+        ...
+
+    @listen(and_(init, maybe_begin))
+    def proceed(self):
+        ...
+```
+
+- Conditional `@start()` accepts a method name, a router label, or a callable condition.
+- During resume, listeners continue from prior checkpoints; cycle/router branches honor resumption flags.
+
 ### State-Based Conditional Logic
 
 You can use state to implement complex conditional logic in your flows: