docs: explicit identity tip showing available frameworks and where versions come from

Author: alec-flowers

src/srtctl/cli/submit.py

@@ -464,15 +464,28 @@ def submit_with_orchestrator(
         else:
             console.print()
             console.print("[yellow]Tip:[/] Add an [bold]identity:[/] block to your recipe for runtime verification.")
-            console.print("[yellow]     This checks that the model, revision, and framework versions")
-            console.print("[yellow]     match what's actually running inside the container.[/]")
-            console.print("[dim]     Example:[/]")
-            console.print("[dim]       identity:[/]")
-            console.print("[dim]         model:[/]")
-            console.print('[dim]           repo: "nvidia/Kimi-K2.5-NVFP4"[/]')
-            console.print('[dim]           revision: "c0285e649c34..."[/]')
-            console.print("[dim]         frameworks:[/]")
-            console.print('[dim]           tensorrt_llm: "1.3.0rc9"[/]')
+            console.print("[yellow]     At job start, srtctl checks that what's inside the container")
+            console.print("[yellow]     matches what you declared. Mismatches produce warnings.[/]")
+            console.print()
+            console.print("[dim]     identity:[/]")
+            console.print("[dim]       model:[/]")
+            console.print('[dim]         repo: "nvidia/Kimi-K2.5-NVFP4"       [/][dim italic]# HuggingFace model ID[/]')
+            console.print(
+                '[dim]         revision: "c0285e649c34..."            [/][dim italic]# HF commit SHA (from .cache/huggingface/download/*.metadata)[/]'
+            )
+            console.print(
+                "[dim]       frameworks:                              [/][dim italic]# exact version strings from importlib.metadata[/]"
+            )
+            console.print(
+                '[dim]         dynamo: "1.0.0"                        [/][dim italic]# pip package: ai-dynamo[/]'
+            )
+            console.print(
+                '[dim]         tensorrt_llm: "1.3.0rc9"              [/][dim italic]# pip package: tensorrt-llm[/]'
+            )
+            console.print('[dim]         vllm: "0.8.1"                          [/][dim italic]# pip package: vllm[/]')
+            console.print(
+                '[dim]         sglang: "0.4.6.post1"                  [/][dim italic]# pip package: sglang[/]'
+            )
 
         # Background validation (non-blocking, fire-and-forget)
         run_validations_background(config)