Use hyphenated ml-intern Trackio prefixes

agent/prompts/system_prompt_v3.yaml

@@ -66,7 +66,7 @@ system_prompt: |
     report_to="trackio"
     run_name="<descriptive-run-name>"          # e.g. "sft_qwen3-4b_lr2e-5_bs128"
     project="<descriptive-project-name>"       # keeps related runs grouped so you can compare them
-    trackio_space_id="<username>/mlintern-<8-char-id>"   # creates a public dashboard Space
+    trackio_space_id="<username>/ml-intern-<8-char-id>"  # creates a public dashboard Space
   `project` and `trackio_space_id` can also be set via TRACKIO_PROJECT / TRACKIO_SPACE_ID env vars.
 
   Alerts are how iterations decide what to change. Use trackio.alert(title, text, level) at every decision point in training. Levels:

agent/tools/jobs_tool.py

@@ -1116,7 +1116,7 @@ async def _resume_scheduled_job(self, args: Dict[str, Any]) -> ToolResult:
         "Job storage is EPHEMERAL — all files are deleted when the job ends. Without push_to_hub, trained models are lost permanently.\n"
         "- Include trackio monitoring and provide the dashboard URL to the user. "
         "When the script uses report_to='trackio', also pass `trackio_space_id` "
-        "(e.g. '<username>/mlintern-<8char>') and `trackio_project` as tool args — "
+        "(e.g. '<username>/ml-intern-<8char>') and `trackio_project` as tool args — "
         "they are injected as TRACKIO_SPACE_ID/TRACKIO_PROJECT env vars and let the UI embed the live dashboard.\n\n"
         "BATCH/ABLATION JOBS: Submit ONE job first. Check logs to confirm it starts training successfully. "
         "Only then submit the remaining jobs. Never submit all at once — if there's a bug, all jobs fail.\n\n"
@@ -1204,7 +1204,7 @@ async def _resume_scheduled_job(self, args: Dict[str, Any]) -> ToolResult:
                 "type": "string",
                 "description": (
                     "Optional. The HF Space hosting the trackio dashboard for this run "
-                    "(e.g. '<username>/mlintern-<8char>', under YOUR HF namespace). "
+                    "(e.g. '<username>/ml-intern-<8char>', under YOUR HF namespace). "
                     "Injected as TRACKIO_SPACE_ID env var and used by the UI to embed "
                     "the live dashboard. Set this whenever the script uses "
                     "report_to='trackio'. The Space is auto-created and seeded with the "

agent/tools/sandbox_tool.py

@@ -542,7 +542,7 @@ async def teardown_session_sandbox(session: Any) -> None:
         "Common picks: t4-small (16GB VRAM, fits ≤1-3B), a10g-small (24GB, ≤7B), a100-large (80GB, ≤30B). "
         "If the model won't fit, pick larger hardware upfront — OOM on a sandbox wastes time.\n\n"
         "If you intend to run a training script in this sandbox that uses report_to='trackio', "
-        "pass `trackio_space_id` (e.g. '<username>/mlintern-<8char>') and `trackio_project` so they "
+        "pass `trackio_space_id` (e.g. '<username>/ml-intern-<8char>') and `trackio_project` so they "
         "are set as TRACKIO_SPACE_ID/TRACKIO_PROJECT secrets in the sandbox and the UI can embed the live dashboard.\n\n"
         "Hardware: " + ", ".join([e.value for e in SpaceHardware]) + ".\n"
     ),
@@ -563,7 +563,7 @@ async def teardown_session_sandbox(session: Any) -> None:
                 "type": "string",
                 "description": (
                     "Optional. The HF Space hosting the trackio dashboard for runs in this sandbox "
-                    "(e.g. '<username>/mlintern-<8char>', under YOUR HF namespace). Injected as "
+                    "(e.g. '<username>/ml-intern-<8char>', under YOUR HF namespace). Injected as "
                     "TRACKIO_SPACE_ID secret and surfaced to the UI. The Space is auto-created and "
                     "seeded with the trackio dashboard — DO NOT pre-create it via hf_repo_git, "
                     "that produces an empty Space that breaks the embed."

tests/unit/test_trackio_space_ids.py

@@ -0,0 +1,16 @@
+import json
+from pathlib import Path
+
+from agent.tools.jobs_tool import HF_JOBS_TOOL_SPEC
+from agent.tools.sandbox_tool import SANDBOX_CREATE_TOOL_SPEC
+
+
+def test_trackio_space_examples_use_hyphenated_ml_intern_prefix():
+    prompt = Path("agent/prompts/system_prompt_v3.yaml").read_text()
+    tool_specs = json.dumps([HF_JOBS_TOOL_SPEC, SANDBOX_CREATE_TOOL_SPEC])
+    legacy_prefix = "ml" + "intern"
+
+    assert "<username>/ml-intern-<8-char-id>" in prompt
+    assert "<username>/ml-intern-<8char>" in tool_specs
+    assert legacy_prefix not in prompt
+    assert legacy_prefix not in tool_specs