Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/Dockerfile
@@
 # Server dependencies
 RUN pip install \
     fastapi[standard] uvicorn[standard] \
     aiohttp soundfile resampy \
-    numpy"<2" \
+    numpy"<2" \
+    vastai_sdk "python-dateutil>=2.8.2" \
     huggingface_hub[hf-xet] hf_transfer
@@
 # Copy production server
 COPY production/server.py /app/server.py
+COPY production/worker.py /app/worker.py
 COPY production/onstart.sh /app/onstart.sh
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/Dockerfile\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


# Collaboration Mode: Default

You are now in Default mode. Any previous instructions for other modes (e.g. Plan mode) are no longer active.

Your active mode changes only when new developer instructions with a different `<collaboration_mode>...</collaboration_mode>` change it; user requests or tool descriptions do not change mode by themselves. Known mode names are Default and Plan.

## request_user_input availability

The `request_user_input` tool is unavailable in Default mode. If you call it while in Default mode, it will return an error.

If a decision is necessary and cannot be discovered from local context, ask the user directly. However, in Default mode you should strongly prefer executing the user's request rather than stopping to ask questions.

Summary: auto

## Skills
A skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.
### Available skills
- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /home/ubuntu/.codex/skills/.system/skill-creator/SKILL.md)
- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /home/ubuntu/.codex/skills/.system/skill-installer/SKILL.md)
### How to use skills
- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.
- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.
- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.
- How to use a skill (progressive disclosure):
  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.
  2) When `SKILL.md` references relative paths (e.g., `scripts/foo.py`), resolve them relative to the skill directory listed above first, and only consider other paths if needed.
  3) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.
  4) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.
  5) If `assets/` or templates exist, reuse them instead of recreating from scratch.
- Coordination and sequencing:
  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.
  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.
- Context hygiene:
  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.
  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.
  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.
- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.


**Planning deploy.py modifications**


Output:
Chunk ID: 869d18
Wall time: 0.0512 seconds
Process exited with code 0
Original token count: 1123
Output:
#!/usr/bin/env python3
"""
Vast.ai Serverless Deployment for Hindi ASR.
Usage: python deploy.py {create|status|workers|logs|route|destroy}
"""
import os, sys, json, argparse, requests
sys.path.insert(0, os.path.dirname(__file__))
try:
    from dotenv import load_dotenv
    load_dotenv(os.path.join(os.path.dirname(__file__), "..", ".env"))
except ImportError:
    pass

VAST_API_KEY = os.environ.get("VAST_KEY", "")
VAST_API = "https://console.vast.ai/api/v0"
VAST_RUN = "https://run.vast.ai"
ENDPOINT_NAME = "hindi-asr-production"
DOCKER_IMAGE = "bharathkumar192/hindi-nemotron-asr:v6-production"

ENDPOINT_CONFIG = {
    "endpoint_name": ENDPOINT_NAME,
    "min_load": 1, "target_util": 0.8,
    "cold_mult": 2.0, "cold_workers": 1, "max_workers": 5,
}

SEARCH_PARAMS = {
    "verified": {"eq": True}, "rentable": {"eq": True},
    "rented": {"eq": False}, "gpu_ram": {"gte": 40},
    "num_gpus": {"eq": 1}, "reliability": {"gte": 0.95},
    "inet_down": {"gte": 200},
}

def headers():
    return {"Accept": "application/json", "Content-Type": "application/json",
            "Authorization": f"Bearer {VAST_API_KEY}"}

def create_endpoint():
    print(f"Creating endpoint: {ENDPOINT_NAME}")
    r = requests.post(f"{VAST_API}/endptjobs/", headers=headers(), json=ENDPOINT_CONFIG)
    d = r.json()
    if d.get("success"):
        print(f"  Created: id={d['result']}")
        return d["result"]
    print(f"  Error: {d}")
    return get_endpoint_id()

def get_endpoint_id():
    try:
        r = requests.get(f"{VAST_API}/endptjobs/", headers=headers())
        for ep in r.json():
            if ep.get("endpoint_name") == ENDPOINT_NAME:
                return ep.get("id")
    except: pass
    return None

def create_workergroup(eid=None):
    eid = eid or get_endpoint_id()
    if not eid: print("No endpoint found"); return
    print(f"Creating workergroup for endpoint {eid}")
    r = requests.post(f"{VAST_API}/workergroups/", headers=headers(), json={
        "endpoint_id": eid, "search_params": json.dumps(SEARCH_PARAMS),
        "launch_args": "-p 8000:8000", "gpu_ram": 40,
    })
    d = r.json()
    print(f"  {'Created: id=' + str(d['result']) if d.get('success') else 'Error: ' + str(d)}")

def get_workers():
    eid = get_endpoint_id()
    if not eid: return []
    r = requests.post(f"{VAST_RUN}/get_endpoint_workers/",
        json={"id": eid, "api_key": VAST_API_KEY},
        headers={"Content-Type": "application/json"})
    try:
        d = r.json()
        return d if isinstance(d, list) else d.get("workers", [])
    except: return []

def get_route(cost=10.0):
    r = requests.post(f"{VAST_RUN}/route/",
        json={"endpoint": ENDPOINT_NAME, "api_key": VAST_API_KEY, "cost": cost},
        headers={"Content-Type": "application/json"})
    return r.json()

def show_status():
    eid = get_endpoint_id()
    print(f"Endpoint: {ENDPOINT_NAME} (id={eid})")
    if not eid: print("  NOT DEPLOYED"); return
    workers = get_workers()
    print(f"  Workers: {len(workers)}")
    for w in workers:
        print(f"    id={w.get('id')} status={w.get('status')} load={w.get('cur_load',0):.1f}")
    route = get_route()
    print(f"  Route: {route.get('url', route)}")

def destroy():
    eid = get_endpoint_id()
    if not eid: print("Nothing to destroy"); return
    print(f"Destroying endpoint {eid}")
    requests.put(f"{VAST_API}/endptjobs/{eid}/", headers=headers(), json={"status": "stopped"})
    requests.delete(f"{VAST_API}/endptjobs/{eid}/", headers=headers())
    print("  Done")

def main():
    if not VAST_API_KEY: print("ERROR: VAST_KEY not set"); sys.exit(1)
    p = argparse.ArgumentParser()
    p.add_argument("action", choices=["create","status","workers","logs","route","destroy"])
    a = p.parse_args()
    if a.action == "create":
        eid = create_endpoint()
        if eid: create_workergroup(eid)
    elif a.action == "status": show_status()
    elif a.action == "workers": print(json.dumps(get_workers(), indent=2))
    elif a.action == "logs":
        eid = get_endpoint_id()
        if eid:
            r = requests.post(f"{VAST_RUN}/get_endpoint_logs/",
                json={"id": eid, "api_key": VAST_API_KEY, "tail": 2000},
                headers={"Content-Type": "application/json"})
            for k,v in r.json().items():
                if v: print(f"\n=== {k} ===\n{v}")
    elif a.action == "route": print(json.dumps(get_route(), indent=2))
    elif a.action == "destroy": destroy()

if __name__ == "__main__": main()


Summary: auto


**Planning endpoint data refactor**

Updating endpoint fetching to parse paginated dict results correctly by adding a helper returning the list of endpoint jobs; subsequent endpoint info and ID functions will use this, with environment vars set for endpoint name, API key, template hash, and launch args to better support dynamic config and API authentication.


**Adjusting config for dynamic endpoint name**

Decided to define the endpoint name before building the config to keep it simple and ensure dynamic values are correctly included; may keep some constants unused for now and skip optional config tweaks like `min_cold_load`.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/deploy.py
@@
-VAST_API_KEY = os.environ.get("VAST_KEY", "")
+VAST_API_KEY = os.environ.get("VAST_KEY", "")
 VAST_API = "https://console.vast.ai/api/v0"
 VAST_RUN = "https://run.vast.ai"
-ENDPOINT_NAME = "hindi-asr-production"
-DOCKER_IMAGE = "bharathkumar192/hindi-nemotron-asr:v6-production"
+ENDPOINT_NAME = os.environ.get("VAST_ENDPOINT_NAME", "hindi-asr-prod")
+DOCKER_IMAGE = os.environ.get("VAST_DOCKER_IMAGE", "bharathkumar192/hindi-nemotron-asr:v6-production")
+TEMPLATE_HASH = os.environ.get("VAST_TEMPLATE_HASH", "")
+LAUNCH_ARGS = os.environ.get("VAST_LAUNCH_ARGS", "-p 8000:8000 -p 18000:18000")
@@
-ENDPOINT_CONFIG = {
-    "endpoint_name": ENDPOINT_NAME,
-    "min_load": 1, "target_util": 0.8,
-    "cold_mult": 2.0, "cold_workers": 1, "max_workers": 5,
-}
+ENDPOINT_CONFIG = {
+    "endpoint_name": ENDPOINT_NAME,
+    "min_load": 1,
+    "target_util": 0.8,
+    "cold_mult": 2.0,
+    "cold_workers": 1,
+    "max_workers": 5,
+}
@@
 def headers():
     return {"Accept": "application/json", "Content-Type": "application/json",
             "Authorization": f"Bearer {VAST_API_KEY}"}

+def get_endpoints():
+    try:
+        r = requests.get(f"{VAST_API}/endptjobs/", headers=headers())
+        data = r.json()
+        if isinstance(data, dict):
+            return data.get("results", [])
+        if isinstance(data, list):
+            return data
+    except Exception:
+        pass
+    return []
+
+def get_endpoint_info():
+    for ep in get_endpoints():
+        if ep.get("endpoint_name") == ENDPOINT_NAME:
+            return ep
+    return None
+
 def create_endpoint():
     print(f"Creating endpoint: {ENDPOINT_NAME}")
     r = requests.post(f"{VAST_API}/endptjobs/", headers=headers(), json=ENDPOINT_CONFIG)
@@
-    return get_endpoint_id()
+    return get_endpoint_id()

 def get_endpoint_id():
-    try:
-        r = requests.get(f"{VAST_API}/endptjobs/", headers=headers())
-        for ep in r.json():
-            if ep.get("endpoint_name") == ENDPOINT_NAME:
-                return ep.get("id")
-    except: pass
-    return None
+    ep = get_endpoint_info()
+    return ep.get("id") if ep else None
+
+def get_endpoint_key():
+    ep = get_endpoint_info()
+    return ep.get("api_key") if ep else None
+
+def get_template_hash():
+    if TEMPLATE_HASH:
+        return TEMPLATE_HASH
+    # Try to infer from existing workergroup
+    try:
+        r = requests.get(f"{VAST_API}/workergroups/", headers=headers())
+        data = r.json()
+        results = data.get("results", []) if isinstance(data, dict) else data
+        for wg in results or []:
+            if wg.get("endpoint_name") == ENDPOINT_NAME or wg.get("endpoint_id") == get_endpoint_id():
+                return wg.get("template_hash") or ""
+    except Exception:
+        pass
+    return ""

 def create_workergroup(eid=None):
     eid = eid or get_endpoint_id()
     if not eid: print("No endpoint found"); return
     print(f"Creating workergroup for endpoint {eid}")
-    r = requests.post(f"{VAST_API}/workergroups/", headers=headers(), json={
-        "endpoint_id": eid, "search_params": json.dumps(SEARCH_PARAMS),
-        "launch_args": "-p 8000:8000", "gpu_ram": 40,
-    })
+    payload = {
+        "endpoint_id": eid,
+        "gpu_ram": 40,
+    }
+    template_hash = get_template_hash()
+    if template_hash:
+        payload["template_hash"] = template_hash
+    else:
+        payload["search_params"] = json.dumps(SEARCH_PARAMS)
+        payload["launch_args"] = LAUNCH_ARGS
+    r = requests.post(f"{VAST_API}/workergroups/", headers=headers(), json=payload)
     d = r.json()
     print(f"  {'Created: id=' + str(d['result']) if d.get('success') else 'Error: ' + str(d)}")

 def get_workers():
     eid = get_endpoint_id()
-    if not eid: return []
+    ekey = get_endpoint_key()
+    if not eid or not ekey:
+        return []
     r = requests.post(f"{VAST_RUN}/get_endpoint_workers/",
-        json={"id": eid, "api_key": VAST_API_KEY},
+        json={"id": eid, "api_key": ekey},
         headers={"Content-Type": "application/json"})
     try:
         d = r.json()
@@
 def get_route(cost=10.0):
     r = requests.post(f"{VAST_RUN}/route/",
-        json={"endpoint": ENDPOINT_NAME, "api_key": VAST_API_KEY, "cost": cost},
+        json={"endpoint": ENDPOINT_NAME, "api_key": get_endpoint_key(), "cost": cost},
         headers={"Content-Type": "application/json"})
     return r.json()
@@
     if not eid: print("Nothing to destroy"); return
     print(f"Destroying endpoint {eid}")
     requests.put(f"{VAST_API}/endptjobs/{eid}/", headers=headers(), json={"status": "stopped"})
     requests.delete(f"{VAST_API}/endptjobs/{eid}/", headers=headers())
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/deploy.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Updating endpoint key usage and launch args**

I'm ensuring `logs` uses the endpoint key instead of the API key, fixing potential errors from missing keys in `show_status`, and modifying `create_workergroup` to always pass `launch_args` when set, even with a template hash, to support extra port mappings.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/deploy.py
@@
-    template_hash = get_template_hash()
-    if template_hash:
-        payload["template_hash"] = template_hash
-    else:
-        payload["search_params"] = json.dumps(SEARCH_PARAMS)
-        payload["launch_args"] = LAUNCH_ARGS
+    template_hash = get_template_hash()
+    if template_hash:
+        payload["template_hash"] = template_hash
+    else:
+        payload["search_params"] = json.dumps(SEARCH_PARAMS)
+    if LAUNCH_ARGS:
+        payload["launch_args"] = LAUNCH_ARGS
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/deploy.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Updating logs to use endpoint key**


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/deploy.py
@@
     elif a.action == "logs":
         eid = get_endpoint_id()
         if eid:
+            ekey = get_endpoint_key()
             r = requests.post(f"{VAST_RUN}/get_endpoint_logs/",
-                json={"id": eid, "api_key": VAST_API_KEY, "tail": 2000},
+                json={"id": eid, "api_key": ekey, "tail": 2000},
                 headers={"Content-Type": "application/json"})
             for k,v in r.json().items():
                 if v: print(f"\n=== {k} ===\n{v}")
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/deploy.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Adding error handling for missing endpoint key**

I'm planning to update `get_route` to return an error response when the endpoint key is missing, preventing propagation of None values.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/deploy.py
@@
 def get_route(cost=10.0):
+    ekey = get_endpoint_key()
+    if not ekey:
+        return {"error": "endpoint api_key not found"}
     r = requests.post(f"{VAST_RUN}/route/",
-        json={"endpoint": ENDPOINT_NAME, "api_key": get_endpoint_key(), "cost": cost},
+        json={"endpoint": ENDPOINT_NAME, "api_key": ekey, "cost": cost},
         headers={"Content-Type": "application/json"})
     return r.json()
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/deploy.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Planning endpoint info integration**

I'm planning to update `show_status` to use endpoint info and modify tests to accept `auth` and `endpoint_mode`. I'll implement helpers to load endpoint keys from env or .env manually and integrate sync requests calls within async tests for endpoint retrieval.


**Adding env loader and route request helpers**

I'm implementing an env variable loader that checks OS env and falls back to reading a `.env` file manually. Also creating a route request helper posting to the run API with endpoint info and cost, raising on errors. Planning to update tests with new CLI args for endpoint mode, route cost, and WebSocket port, including logic to skip the WS test gracefully if conditions aren’t met.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
-import os, sys, json, time, struct, asyncio, argparse, math
+import os, sys, json, time, struct, asyncio, argparse, math
+from pathlib import Path
+import requests
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Adding helper functions for env and routing**

I'm creating helper functions to manage environment keys and API routing, planning to insert them after the existing wav generation function for better organization before patching.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
 def generate_test_wav(duration_s=3.0, freq_hz=440, sample_rate=16000):
     """Generate sine wave as WAV bytes + raw PCM"""
     n = int(sample_rate * duration_s)
     pcm = struct.pack(f'<{n}h', *[min(32767, max(-32768, int(16000*math.sin(2*math.pi*freq_hz*i/sample_rate)))) for i in range(n)])
     hdr = struct.pack('<4sI4s4sIHHIIHH4sI', b'RIFF', 36+len(pcm), b'WAVE', b'fmt ', 16, 1, 1, sample_rate, sample_rate*2, 2, 16, b'data', len(pcm))
     return pcm, hdr + pcm
+
+VAST_API = "https://console.vast.ai/api/v0"
+VAST_RUN = "https://run.vast.ai"
+
+def _env_or_dotenv(name: str):
+    if os.environ.get(name):
+        return os.environ.get(name)
+    env_path = Path(__file__).resolve().parent.parent / ".env"
+    if env_path.exists():
+        for line in env_path.read_text().splitlines():
+            if line.startswith(name + "="):
+                return line.split("=", 1)[1].strip()
+    return None
+
+def get_endpoint_key(endpoint_name: str, endpoint_key: str | None):
+    if endpoint_key:
+        return endpoint_key
+    account_key = _env_or_dotenv("VAST_KEY")
+    if not account_key:
+        raise RuntimeError("VAST_KEY not set; pass --endpoint-key")
+    r = requests.get(
+        f"{VAST_API}/endptjobs/",
+        headers={"Accept": "application/json", "Authorization": f"Bearer {account_key}"},
+        timeout=30,
+    )
+    data = r.json()
+    results = data.get("results", []) if isinstance(data, dict) else data
+    for ep in results or []:
+        if ep.get("endpoint_name") == endpoint_name:
+            return ep.get("api_key")
+    raise RuntimeError(f"endpoint '{endpoint_name}' not found")
+
+def get_route(endpoint_name: str, endpoint_key: str, cost: float):
+    payload = {"endpoint": endpoint_name, "api_key": endpoint_key, "cost": cost}
+    r = requests.post(f"{VAST_RUN}/route/", json=payload, timeout=30)
+    data = r.json()
+    if "url" not in data:
+        raise RuntimeError(f"route failed: {data}")
+    return data
+
+def wrap_auth(route: dict, payload: dict):
+    auth = {k: route[k] for k in ["signature", "cost", "endpoint", "reqnum", "url", "request_idx"] if k in route}
+    return {"auth_data": auth, "payload": payload}
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Planning test updates for endpoint mode**

I'm deciding to skip direct /health calls in endpoint mode since it's inaccessible via PyWorker and instead check health by verifying at least one worker via /get_endpoint_workers. I'll add helpers to fetch endpoint ID and extend existing functions to return endpoint details for this approach.


**Extending endpoint helpers**

I'm consolidating endpoint info retrieval by creating a helper that returns both key and ID, updating existing key-fetching helpers to use it. In tests, I'll skip health checks in endpoint mode but still attempt to verify workers using this enhanced info.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
-def get_endpoint_key(endpoint_name: str, endpoint_key: str | None):
-    if endpoint_key:
-        return endpoint_key
-    account_key = _env_or_dotenv("VAST_KEY")
-    if not account_key:
-        raise RuntimeError("VAST_KEY not set; pass --endpoint-key")
-    r = requests.get(
-        f"{VAST_API}/endptjobs/",
-        headers={"Accept": "application/json", "Authorization": f"Bearer {account_key}"},
-        timeout=30,
-    )
-    data = r.json()
-    results = data.get("results", []) if isinstance(data, dict) else data
-    for ep in results or []:
-        if ep.get("endpoint_name") == endpoint_name:
-            return ep.get("api_key")
-    raise RuntimeError(f"endpoint '{endpoint_name}' not found")
+def get_endpoint_info(endpoint_name: str):
+    account_key = _env_or_dotenv("VAST_KEY")
+    if not account_key:
+        raise RuntimeError("VAST_KEY not set; pass --endpoint-key")
+    r = requests.get(
+        f"{VAST_API}/endptjobs/",
+        headers={"Accept": "application/json", "Authorization": f"Bearer {account_key}"},
+        timeout=30,
+    )
+    data = r.json()
+    results = data.get("results", []) if isinstance(data, dict) else data
+    for ep in results or []:
+        if ep.get("endpoint_name") == endpoint_name:
+            return ep
+    raise RuntimeError(f"endpoint '{endpoint_name}' not found")
+
+def get_endpoint_key(endpoint_name: str, endpoint_key: str | None):
+    if endpoint_key:
+        return endpoint_key
+    return get_endpoint_info(endpoint_name).get("api_key")
+
+def get_endpoint_id(endpoint_name: str):
+    return get_endpoint_info(endpoint_name).get("id")
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Starting worker retrieval function**

I'm creating a function that fetches workers for a given endpoint using a POST request with the endpoint ID and API key. Next, I'll complete its implementation.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
 def get_route(endpoint_name: str, endpoint_key: str, cost: float):
     payload = {"endpoint": endpoint_name, "api_key": endpoint_key, "cost": cost}
     r = requests.post(f"{VAST_RUN}/route/", json=payload, timeout=30)
     data = r.json()
     if "url" not in data:
         raise RuntimeError(f"route failed: {data}")
     return data
+
+def get_endpoint_workers(endpoint_name: str, endpoint_key: str):
+    eid = get_endpoint_id(endpoint_name)
+    r = requests.post(
+        f"{VAST_RUN}/get_endpoint_workers/",
+        json={"id": eid, "api_key": endpoint_key},
+        timeout=30,
+        headers={"Content-Type": "application/json"},
+    )
+    data = r.json()
+    if isinstance(data, dict) and "workers" in data:
+        return data["workers"]
+    return data if isinstance(data, list) else []
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Updating health test for endpoint checks**

I'm modifying the health test to optionally accept endpoint parameters and check endpoint worker availability, falling back to the original check if none are provided.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
-async def test_health(url):
+async def test_health(url, endpoint_name=None, endpoint_key=None):
     print("\n=== Health ===")
-    async with aiohttp.ClientSession() as s:
-        t0 = time.perf_counter()
-        async with s.get(f"{url}/health") as r:
-            dt = (time.perf_counter()-t0)*1000
-            d = await r.json()
-            ok = r.status == 200
-            print(f"  [{'PASS' if ok else 'FAIL'}] {r.status} {dt:.0f}ms {json.dumps(d)}")
-            return ok
+    if endpoint_name:
+        try:
+            workers = await asyncio.to_thread(get_endpoint_workers, endpoint_name, endpoint_key)
+            ok = len(workers) > 0
+            print(f"  [{'PASS' if ok else 'FAIL'}] workers={len(workers)}")
+            return ok
+        except Exception as e:
+            print(f"  [FAIL] {e}")
+            return False
+
+    async with aiohttp.ClientSession() as s:
+        t0 = time.perf_counter()
+        async with s.get(f"{url}/health") as r:
+            dt = (time.perf_counter()-t0)*1000
+            d = await r.json()
+            ok = r.status == 200
+            print(f"  [{'PASS' if ok else 'FAIL'}] {r.status} {dt:.0f}ms {json.dumps(d)}")
+            return ok
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Extending batch test for endpoint mode with fallback**

I'm updating the batch test to support endpoint mode by fetching the route and sending JSON to the transcription endpoint, adding a fallback to the older `/json` path if the first returns 404 or 422 to maintain compatibility with older service versions. I'll reuse the same auth data for the fallback request, assuming it won't cause duplicate handling issues.


**Refining fallback logic and adding base64 encoding**

Deciding to try `/v1/audio/transcriptions` first for endpoint mode and fallback to `/json` on 422, aligning with planned redeployment while maintaining compatibility. Also planning to import base64 in the test file to correctly encode audio payloads for JSON requests.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
-import os, sys, json, time, struct, asyncio, argparse, math
+import os, sys, json, time, struct, asyncio, argparse, math, base64
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Patching batch test**


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
-async def test_http_batch(url):
+async def test_http_batch(url, endpoint_name=None, endpoint_key=None, route_cost=10.0):
     print("\n=== HTTP Batch ===")
     _, wav = generate_test_wav(3.0)
+    if endpoint_name:
+        audio_b64 = base64.b64encode(wav).decode("ascii")
+        async with aiohttp.ClientSession() as s:
+            t0 = time.perf_counter()
+            try:
+                route = await asyncio.to_thread(get_route, endpoint_name, endpoint_key, route_cost)
+                worker_url = route["url"].rstrip("/")
+                payload = {"audio_base64": audio_b64, "language": "hi"}
+                req = wrap_auth(route, payload)
+                async with s.post(f"{worker_url}/v1/audio/transcriptions", json=req, timeout=aiohttp.ClientTimeout(total=120)) as r:
+                    dt = (time.perf_counter()-t0)*1000
+                    if r.status == 200:
+                        d = await r.json()
+                        print(f"  [PASS] {dt:.0f}ms text='{d.get('text','')[:80]}' proc={d.get('processing_time',0)}s")
+                        return True
+                    # Fallback for older images
+                    if r.status in (404, 422):
+                        route = await asyncio.to_thread(get_route, endpoint_name, endpoint_key, route_cost)
+                        worker_url = route["url"].rstrip("/")
+                        req = wrap_auth(route, payload)
+                        async with s.post(f\"{worker_url}/v1/audio/transcriptions/json\", json=req, timeout=aiohttp.ClientTimeout(total=120)) as r2:
+                            dt = (time.perf_counter()-t0)*1000
+                            if r2.status == 200:
+                                d = await r2.json()
+                                print(f\"  [PASS] {dt:.0f}ms text='{d.get('text','')[:80]}' proc={d.get('processing_time',0)}s (json)\")
+                                return True
+                            print(f\"  [FAIL] {r2.status} {(await r2.text())[:200]}\")
+                            return False
+                    print(f\"  [FAIL] {r.status} {(await r.text())[:200]}\")
+                    return False
+            except Exception as e:
+                print(f\"  [FAIL] {e}\"); return False
+
     async with aiohttp.ClientSession() as s:
         form = aiohttp.FormData()
         form.add_field('file', wav, filename='test.wav', content_type='audio/wav')
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Extending HTTP stream tests for endpoint mode**

I'm updating the HTTP stream test to handle the /v1/audio/transcriptions/stream JSON endpoint, noting that pyworker lacks support for /stream, so I'll update the image accordingly and implement a fallback with SSE parsing consistent with prior handling.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
-async def test_http_stream(url):
+async def test_http_stream(url, endpoint_name=None, endpoint_key=None, route_cost=10.0):
     print("\n=== HTTP Stream (SSE) ===")
     _, wav = generate_test_wav(3.0)
+    if endpoint_name:
+        audio_b64 = base64.b64encode(wav).decode("ascii")
+        async with aiohttp.ClientSession() as s:
+            t0 = time.perf_counter()
+            try:
+                route = await asyncio.to_thread(get_route, endpoint_name, endpoint_key, route_cost)
+                worker_url = route["url"].rstrip("/")
+                payload = {"audio_base64": audio_b64, "language": "hi", "chunk_duration_ms": 160}
+                req = wrap_auth(route, payload)
+                async with s.post(f"{worker_url}/v1/audio/transcriptions/stream", json=req, timeout=aiohttp.ClientTimeout(total=120)) as r:
+                    if r.status != 200:
+                        print(f"  [FAIL] {r.status}")
+                        return False
+                    events = []
+                    async for line in r.content:
+                        l = line.decode().strip()
+                        if l.startswith("data: "):
+                            d = json.loads(l[6:])
+                            events.append(d)
+                            if d.get("done"):
+                                break
+                    dt = (time.perf_counter()-t0)*1000
+                    print(f"  [PASS] {len(events)} events {dt:.0f}ms")
+                    if events:
+                        print(f"  Final: '{events[-1].get('text','')[:80]}'")
+                    return True
+            except Exception as e:
+                print(f"  [FAIL] {e}"); return False
+
     async with aiohttp.ClientSession() as s:
         form = aiohttp.FormData()
         form.add_field('file', wav, filename='test.wav', content_type='audio/wav')
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


Summary: auto


**Extending websocket test for endpoint mode and port swapping**

I'm updating the websocket test to accept a port and endpoint mode, adding a helper to replace the URL's port and scheme accordingly, and importing urllib.parse to support this parsing.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
-import requests
+import requests
+from urllib.parse import urlparse
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Patching test_websocket**


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
-async def test_websocket(url):
+async def test_websocket(url, endpoint_name=None, endpoint_key=None, route_cost=10.0, ws_port=None):
     print("\n=== WebSocket ===")
-    ws_url = url.replace("http://","ws://").replace("https://","wss://") + "/ws"
+    if endpoint_name:
+        if not ws_port:
+            print("  [SKIP] ws_port not provided for endpoint mode")
+            return True
+        try:
+            route = await asyncio.to_thread(get_route, endpoint_name, endpoint_key, route_cost)
+            parsed = urlparse(route["url"])
+            scheme = "wss" if parsed.scheme == "https" else "ws"
+            host = parsed.hostname
+            ws_url = f"{scheme}://{host}:{ws_port}/ws"
+        except Exception as e:
+            print(f"  [FAIL] {e}")
+            return False
+    else:
+        ws_url = url.replace("http://","ws://").replace("https://","wss://") + "/ws"
     pcm, _ = generate_test_wav(3.0)
     try:
         async with aiohttp.ClientSession() as s:
             t0 = time.perf_counter()
             async with s.ws_connect(ws_url, timeout=30) as ws:
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Updating argument parsing with endpoint options**

I'm adding optional `--endpoint`, `--endpoint-key`, `--route-cost`, and `--ws-port` args, making URL optional if `--endpoint` is given. The main function will validate at least one is set and pass these parameters to test functions accordingly.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
 async def main():
     p = argparse.ArgumentParser()
-    p.add_argument("--url", required=True)
+    p.add_argument("--url", default=None, help="Direct server URL (http://ip:port)")
+    p.add_argument("--endpoint", default=None, help="Vast endpoint name (uses /route + auth)")
+    p.add_argument("--endpoint-key", default=None, help="Endpoint API key (optional if VAST_KEY set)")
+    p.add_argument("--route-cost", type=float, default=10.0)
+    p.add_argument("--ws-port", type=int, default=None, help="Direct WS port on worker (if exposed)")
     p.add_argument("--http-only", action="store_true")
     p.add_argument("--ws-only", action="store_true")
     a = p.parse_args()
-    url = a.url.rstrip("/")
-    results = {"health": await test_health(url)}
+    if not a.url and not a.endpoint:
+        print("ERROR: provide --url or --endpoint")
+        sys.exit(2)
+    url = a.url.rstrip("/") if a.url else ""
+    endpoint_key = get_endpoint_key(a.endpoint, a.endpoint_key) if a.endpoint else None
+    results = {"health": await test_health(url, a.endpoint, endpoint_key)}
     if not a.ws_only:
-        results["http_batch"] = await test_http_batch(url)
-        results["http_stream"] = await test_http_stream(url)
+        results["http_batch"] = await test_http_batch(url, a.endpoint, endpoint_key, a.route_cost)
+        results["http_stream"] = await test_http_stream(url, a.endpoint, endpoint_key, a.route_cost)
     if not a.http_only:
-        results["websocket"] = await test_websocket(url)
+        results["websocket"] = await test_websocket(url, a.endpoint, endpoint_key, a.route_cost, a.ws_port)
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Planning test_stress endpoint mode**

I'm outlining updates to test_stress.py to support endpoint mode and SSE, including new imports, async aiohttp functions for routing and worker fetching, and adapting HTTP batch and WebSocket streams to handle endpoint authentication and routing dynamically.


**Detailing SSE and metrics updates**

I'm planning to skip WebSocket tests if no port is given, implement SSE handling with JSON wrappers and event parsing in endpoint mode, and enhance StressMetrics to track audio duration and throughput while capturing server metrics differently for direct versus endpoint modes with new helper functions.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
-import os, sys, json, time, math, struct, asyncio, argparse, csv
+import os, sys, json, time, math, struct, asyncio, argparse, csv, base64
+from pathlib import Path
+import requests
+from urllib.parse import urlparse
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Adding helper functions and patching imports**


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
 def generate_test_audio(duration_s=10.0, freq_hz=440, sample_rate=16000):
     """Generate test audio: sine wave as raw PCM + WAV"""
@@
     return pcm, hdr + pcm
+
+VAST_API = "https://console.vast.ai/api/v0"
+VAST_RUN = "https://run.vast.ai"
+
+def _env_or_dotenv(name: str):
+    if os.environ.get(name):
+        return os.environ.get(name)
+    env_path = Path(__file__).resolve().parent.parent / ".env"
+    if env_path.exists():
+        for line in env_path.read_text().splitlines():
+            if line.startswith(name + "="):
+                return line.split("=", 1)[1].strip()
+    return None
+
+def get_endpoint_info(endpoint_name: str):
+    account_key = _env_or_dotenv("VAST_KEY")
+    if not account_key:
+        raise RuntimeError("VAST_KEY not set; pass --endpoint-key")
+    r = requests.get(
+        f"{VAST_API}/endptjobs/",
+        headers={"Accept": "application/json", "Authorization": f"Bearer {account_key}"},
+        timeout=30,
+    )
+    data = r.json()
+    results = data.get("results", []) if isinstance(data, dict) else data
+    for ep in results or []:
+        if ep.get("endpoint_name") == endpoint_name:
+            return ep
+    raise RuntimeError(f"endpoint '{endpoint_name}' not found")
+
+def get_endpoint_key(endpoint_name: str, endpoint_key: str | None):
+    if endpoint_key:
+        return endpoint_key
+    return get_endpoint_info(endpoint_name).get("api_key")
+
+def get_endpoint_id(endpoint_name: str):
+    return get_endpoint_info(endpoint_name).get("id")
+
+def wrap_auth(route: dict, payload: dict):
+    auth = {k: route[k] for k in ["signature", "cost", "endpoint", "reqnum", "url", "request_idx"] if k in route}
+    return {"auth_data": auth, "payload": payload}
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Adding audio duration and throughput to metrics**

I'm updating StressMetrics to track audio_duration_s and computing throughput as (ok requests * audio_duration_s) divided by wall time, handling zero values safely.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
 class StressMetrics:
     """Collects and reports all metrics for a stress test level"""
-    def __init__(self, concurrency, mode):
+    def __init__(self, concurrency, mode, audio_duration_s):
         self.concurrency = concurrency
         self.mode = mode
+        self.audio_duration_s = audio_duration_s
         self.start_time = None
         self.end_time = None
@@
     def summary(self):
         ok = self.concurrency - len(self.errors)
         wall_time = (self.end_time - self.start_time) if self.end_time else 0
+        throughput_x = 0.0
+        if wall_time > 0:
+            throughput_x = (ok * self.audio_duration_s) / wall_time
         return {
             "concurrency": self.concurrency,
             "mode": self.mode,
             "ok": ok,
             "errors": len(self.errors),
             "wall_time_s": round(wall_time, 2),
@@
-            "msgs_per_stream_avg": round(sum(self.messages_per_stream) / max(len(self.messages_per_stream), 1), 1),
-            "throughput_x": round(ok * 1.0, 1),  # N streams at 1x realtime
+            "msgs_per_stream_avg": round(sum(self.messages_per_stream) / max(len(self.messages_per_stream), 1), 1),
+            "throughput_x": round(throughput_x, 2),
         }
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Adding async fetch for endpoint workers**

I'm creating an async function to fetch endpoint workers by posting endpoint ID and key, using aiohttp for consistency with existing async code.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
 async def fetch_server_metrics(url):
     """Fetch /metrics and /health from server"""
     try:
         async with aiohttp.ClientSession() as s:
             async with s.get(f"{url}/metrics", timeout=aiohttp.ClientTimeout(total=5)) as r:
                 if r.status == 200:
                     return await r.json()
     except:
         pass
     return {}
+
+async def fetch_endpoint_workers(endpoint_name, endpoint_key):
+    """Fetch worker list for endpoint from Vast run API"""
+    try:
+        eid = get_endpoint_id(endpoint_name)
+        async with aiohttp.ClientSession() as s:
+            async with s.post(
+                f"{VAST_RUN}/get_endpoint_workers/",
+                json={"id": eid, "api_key": endpoint_key},
+                timeout=aiohttp.ClientTimeout(total=10),
+            ) as r:
+                data = await r.json()
+                if isinstance(data, dict) and "workers" in data:
+                    return data["workers"]
+                return data if isinstance(data, list) else []
+    except Exception:
+        return []
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Extending stream and batch runners for endpoint mode**

I'm updating run_ws_stream and run_http_batch to accept endpoint-specific parameters and route connections accordingly, adding logic to compute the worker URL based on endpoint_name and ws_port while handling errors if required info is missing.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
-async def run_ws_stream(url, pcm_bytes, stream_idx, metrics, duration_s):
-    """Run a single WebSocket stream at real-time pace"""
-    ws_url = url.replace("http://", "ws://").replace("https://", "wss://") + "/ws"
+async def run_ws_stream(url, pcm_bytes, stream_idx, metrics, duration_s,
+                        endpoint_name=None, endpoint_key=None, route_cost=10.0, ws_port=None):
+    """Run a single WebSocket stream at real-time pace"""
+    if endpoint_name:
+        if not ws_port:
+            metrics.errors.append({"stream": stream_idx, "error": "ws_port required for endpoint mode"})
+            return
+        try:
+            async with aiohttp.ClientSession() as s:
+                async with s.post(
+                    f"{VAST_RUN}/route/",
+                    json={"endpoint": endpoint_name, "api_key": endpoint_key, "cost": route_cost},
+                    timeout=aiohttp.ClientTimeout(total=10),
+                ) as r:
+                    route = await r.json()
+            if "url" not in route:
+                metrics.errors.append({"stream": stream_idx, "error": f"route failed: {route}"})
+                return
+            parsed = urlparse(route["url"])
+            scheme = "wss" if parsed.scheme == "https" else "ws"
+            ws_url = f"{scheme}://{parsed.hostname}:{ws_port}/ws"
+        except Exception as e:
+            metrics.errors.append({"stream": stream_idx, "error": str(e)})
+            return
+    else:
+        ws_url = url.replace("http://", "ws://").replace("https://", "wss://") + "/ws"
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Updating batch runner for endpoint mode**


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
-async def run_http_batch(url, wav_bytes, stream_idx, metrics):
-    """Run a single HTTP batch transcription"""
-    t_start = time.perf_counter()
-    try:
-        async with aiohttp.ClientSession() as s:
-            form = aiohttp.FormData()
-            form.add_field('file', wav_bytes, filename='test.wav', content_type='audio/wav')
-            form.add_field('language', 'hi')
-
-            async with s.post(
-                f"{url}/v1/audio/transcriptions",
-                data=form,
-                timeout=aiohttp.ClientTimeout(total=120),
-            ) as r:
-                t_done = time.perf_counter()
-                metrics.connect_times_ms.append(0)  # N/A for HTTP
-                if r.status == 200:
-                    d = await r.json()
-                    metrics.total_times_ms.append((t_done - t_start) * 1000)
-                    metrics.first_token_times_ms.append((t_done - t_start) * 1000)
-                    metrics.messages_per_stream.append(1)
-                    metrics.texts.append(d.get("text", ""))
-                else:
-                    metrics.errors.append({"stream": stream_idx, "error": f"HTTP {r.status}"})
-    except Exception as e:
-        metrics.errors.append({"stream": stream_idx, "error": str(e)})
+async def run_http_batch(url, wav_bytes, stream_idx, metrics,
+                         endpoint_name=None, endpoint_key=None, route_cost=10.0):
+    """Run a single HTTP batch transcription"""
+    t_start = time.perf_counter()
+    try:
+        async with aiohttp.ClientSession() as s:
+            if endpoint_name:
+                audio_b64 = base64.b64encode(wav_bytes).decode("ascii")
+                # Get route
+                async with s.post(
+                    f"{VAST_RUN}/route/",
+                    json={"endpoint": endpoint_name, "api_key": endpoint_key, "cost": route_cost},
+                    timeout=aiohttp.ClientTimeout(total=10),
+                ) as rr:
+                    route = await rr.json()
+                if "url" not in route:
+                    metrics.errors.append({"stream": stream_idx, "error": f"route failed: {route}"})
+                    return
+                worker_url = route["url"].rstrip("/")
+                payload = {"audio_base64": audio_b64, "language": "hi"}
+                req = wrap_auth(route, payload)
+                async with s.post(
+                    f"{worker_url}/v1/audio/transcriptions",
+                    json=req,
+                    timeout=aiohttp.ClientTimeout(total=120),
+                ) as r:
+                    t_done = time.perf_counter()
+                    metrics.connect_times_ms.append(0)
+                    if r.status == 200:
+                        d = await r.json()
+                        metrics.total_times_ms.append((t_done - t_start) * 1000)
+                        metrics.first_token_times_ms.append((t_done - t_start) * 1000)
+                        metrics.messages_per_stream.append(1)
+                        metrics.texts.append(d.get("text", ""))
+                    elif r.status in (404, 422):
+                        # Fallback for older images
+                        async with s.post(
+                            f"{VAST_RUN}/route/",
+                            json={"endpoint": endpoint_name, "api_key": endpoint_key, "cost": route_cost},
+                            timeout=aiohttp.ClientTimeout(total=10),
+                        ) as rr2:
+                            route2 = await rr2.json()
+                        if "url" not in route2:
+                            metrics.errors.append({"stream": stream_idx, "error": f"route failed: {route2}"})
+                            return
+                        worker_url = route2["url"].rstrip("/")
+                        req = wrap_auth(route2, payload)
+                        async with s.post(
+                            f"{worker_url}/v1/audio/transcriptions/json",
+                            json=req,
+                            timeout=aiohttp.ClientTimeout(total=120),
+                        ) as r2:
+                            t_done = time.perf_counter()
+                            if r2.status == 200:
+                                d = await r2.json()
+                                metrics.total_times_ms.append((t_done - t_start) * 1000)
+                                metrics.first_token_times_ms.append((t_done - t_start) * 1000)
+                                metrics.messages_per_stream.append(1)
+                                metrics.texts.append(d.get("text", ""))
+                            else:
+                                metrics.errors.append({"stream": stream_idx, "error": f"HTTP {r2.status}"})
+                    else:
+                        metrics.errors.append({"stream": stream_idx, "error": f"HTTP {r.status}"})
+                return
+
+            form = aiohttp.FormData()
+            form.add_field('file', wav_bytes, filename='test.wav', content_type='audio/wav')
+            form.add_field('language', 'hi')
+
+            async with s.post(
+                f"{url}/v1/audio/transcriptions",
+                data=form,
+                timeout=aiohttp.ClientTimeout(total=120),
+            ) as r:
+                t_done = time.perf_counter()
+                metrics.connect_times_ms.append(0)  # N/A for HTTP
+                if r.status == 200:
+                    d = await r.json()
+                    metrics.total_times_ms.append((t_done - t_start) * 1000)
+                    metrics.first_token_times_ms.append((t_done - t_start) * 1000)
+                    metrics.messages_per_stream.append(1)
+                    metrics.texts.append(d.get("text", ""))
+                else:
+                    metrics.errors.append({"stream": stream_idx, "error": f"HTTP {r.status}"})
+    except Exception as e:
+        metrics.errors.append({"stream": stream_idx, "error": str(e)})
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Adding SSE streaming function**

I'm preparing to add an asynchronous SSE streaming function after the existing batch HTTP runner, focusing on timing the first token from event streams and handling multipart responses for direct mode.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
 async def run_http_batch(url, wav_bytes, stream_idx, metrics,
                          endpoint_name=None, endpoint_key=None, route_cost=10.0):
@@
     except Exception as e:
         metrics.errors.append({"stream": stream_idx, "error": str(e)})
+
+
+async def run_sse_stream(url, wav_bytes, stream_idx, metrics,
+                         endpoint_name=None, endpoint_key=None, route_cost=10.0):
+    """Run a single HTTP SSE stream"""
+    t_start = time.perf_counter()
+    try:
+        async with aiohttp.ClientSession() as s:
+            if endpoint_name:
+                audio_b64 = base64.b64encode(wav_bytes).decode("ascii")
+                async with s.post(
+                    f"{VAST_RUN}/route/",
+                    json={"endpoint": endpoint_name, "api_key": endpoint_key, "cost": route_cost},
+                    timeout=aiohttp.ClientTimeout(total=10),
+                ) as rr:
+                    route = await rr.json()
+                if "url" not in route:
+                    metrics.errors.append({"stream": stream_idx, "error": f"route failed: {route}"})
+                    return
+                worker_url = route["url"].rstrip("/")
+                payload = {"audio_base64": audio_b64, "language": "hi", "chunk_duration_ms": 160}
+                req = wrap_auth(route, payload)
+                async with s.post(
+                    f"{worker_url}/v1/audio/transcriptions/stream",
+                    json=req,
+                    timeout=aiohttp.ClientTimeout(total=120),
+                ) as r:
+                    if r.status != 200:
+                        metrics.errors.append({"stream": stream_idx, "error": f"SSE {r.status}"})
+                        return
+                    first_token = None
+                    msgs = 0
+                    async for line in r.content:
+                        l = line.decode().strip()
+                        if l.startswith("data: "):
+                            d = json.loads(l[6:])
+                            if first_token is None and d.get("text"):
+                                first_token = time.perf_counter()
+                            msgs += 1
+                            if d.get("done"):
+                                break
+                    t_done = time.perf_counter()
+                    if first_token:
+                        metrics.first_token_times_ms.append((first_token - t_start) * 1000)
+                    metrics.total_times_ms.append((t_done - t_start) * 1000)
+                    metrics.messages_per_stream.append(msgs)
+                return
+
+            form = aiohttp.FormData()
+            form.add_field('file', wav_bytes, filename='test.wav', content_type='audio/wav')
+            async with s.post(
+                f"{url}/v1/audio/transcriptions/stream",
+                data=form,
+                timeout=aiohttp.ClientTimeout(total=120),
+            ) as r:
+                if r.status != 200:
+                    metrics.errors.append({"stream": stream_idx, "error": f"SSE {r.status}"})
+                    return
+                first_token = None
+                msgs = 0
+                async for line in r.content:
+                    l = line.decode().strip()
+                    if l.startswith("data: "):
+                        d = json.loads(l[6:])
+                        if first_token is None and d.get("text"):
+                            first_token = time.perf_counter()
+                        msgs += 1
+                        if d.get("done"):
+                            break
+                t_done = time.perf_counter()
+                if first_token:
+                    metrics.first_token_times_ms.append((first_token - t_start) * 1000)
+                metrics.total_times_ms.append((t_done - t_start) * 1000)
+                metrics.messages_per_stream.append(msgs)
+    except Exception as e:
+        metrics.errors.append({"stream": stream_idx, "error": str(e)})
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Updating stress test signature for endpoint handling**

I'm adding endpoint-specific parameters and adjusting server metrics fetching to use endpoint workers when given, plus extending mode handling to support SSE and update WS invocations accordingly.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
-async def run_stress_level(url, concurrency, mode, audio_duration_s=10.0):
+async def run_stress_level(url, concurrency, mode, audio_duration_s=10.0,
+                           endpoint_name=None, endpoint_key=None, route_cost=10.0, ws_port=None):
     """Run a single stress test level"""
@@
-    metrics = StressMetrics(concurrency, mode)
-
-    # Capture server metrics before
-    metrics.server_metrics_before = await fetch_server_metrics(url)
+    metrics = StressMetrics(concurrency, mode, audio_duration_s)
+
+    # Capture server metrics before
+    if endpoint_name:
+        metrics.server_metrics_before = await fetch_endpoint_workers(endpoint_name, endpoint_key)
+    else:
+        metrics.server_metrics_before = await fetch_server_metrics(url)
@@
-    for i in range(concurrency):
-        if mode == "ws":
-            tasks.append(run_ws_stream(url, pcm, i, metrics, audio_duration_s))
-        elif mode == "http":
-            tasks.append(run_http_batch(url, wav, i, metrics))
+    for i in range(concurrency):
+        if mode == "ws":
+            tasks.append(run_ws_stream(url, pcm, i, metrics, audio_duration_s,
+                                       endpoint_name, endpoint_key, route_cost, ws_port))
+        elif mode == "http":
+            tasks.append(run_http_batch(url, wav, i, metrics, endpoint_name, endpoint_key, route_cost))
+        elif mode == "sse":
+            tasks.append(run_sse_stream(url, wav, i, metrics, endpoint_name, endpoint_key, route_cost))
@@
-    metrics.server_metrics_after = await fetch_server_metrics(url)
+    if endpoint_name:
+        metrics.server_metrics_after = await fetch_endpoint_workers(endpoint_name, endpoint_key)
+    else:
+        metrics.server_metrics_after = await fetch_server_metrics(url)
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Updating print logic for endpoint workers**


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
-    if metrics.server_metrics_after:
-        sm = metrics.server_metrics_after
-        inf = sm.get("inference", {})
-        print(f"    Server GPU:  p50={inf.get('gpu_ms_p50',0)}ms p99={inf.get('gpu_ms_p99',0)}ms")
-        print(f"    Server VRAM: {sm.get('vram_used_gb',0)}GB/{sm.get('vram_total_gb',0)}GB")
+    if metrics.server_metrics_after:
+        sm = metrics.server_metrics_after
+        if endpoint_name:
+            if isinstance(sm, list):
+                for w in sm:
+                    print(f"    Worker {w.get('id')} status={w.get('status')} cur_load={w.get('cur_load',0):.1f} cur_perf={w.get('cur_perf',0):.1f}")
+        else:
+            inf = sm.get("inference", {})
+            print(f"    Server GPU:  p50={inf.get('gpu_ms_p50',0)}ms p99={inf.get('gpu_ms_p99',0)}ms")
+            print(f"    Server VRAM: {sm.get('vram_used_gb',0)}GB/{sm.get('vram_total_gb',0)}GB")
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Updating main with new modes and endpoint options**

I'm adding a new `sse` mode choice alongside `ws`, `http`, and `both`, revising `both` to mean only `ws` and `http`. I'm also making `--url` optional, introducing `--endpoint`, `--endpoint-key`, `--route-cost`, and `--ws-port` CLI options to support more flexible configuration.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
-    p.add_argument("--url", required=True, help="Server URL (http://ip:port)")
-    p.add_argument("--mode", default="ws", choices=["ws", "http", "both"])
+    p.add_argument("--url", default=None, help="Server URL (http://ip:port)")
+    p.add_argument("--endpoint", default=None, help="Vast endpoint name (uses /route + auth)")
+    p.add_argument("--endpoint-key", default=None, help="Endpoint API key (optional if VAST_KEY set)")
+    p.add_argument("--route-cost", type=float, default=10.0)
+    p.add_argument("--ws-port", type=int, default=None, help="Direct WS port on worker (if exposed)")
+    p.add_argument("--mode", default="ws", choices=["ws", "http", "sse", "both"])
@@
-    url = a.url.rstrip("/")
+    if not a.url and not a.endpoint:
+        print("ERROR: provide --url or --endpoint")
+        sys.exit(2)
+    url = a.url.rstrip("/") if a.url else ""
     levels = [int(x) for x in a.levels.split(",")]
-    modes = [a.mode] if a.mode != "both" else ["ws", "http"]
+    modes = [a.mode] if a.mode != "both" else ["ws", "http"]
+
+    endpoint_key = get_endpoint_key(a.endpoint, a.endpoint_key) if a.endpoint else None
@@
-    health = await fetch_server_metrics(url)
-    if not health:
-        # Try health endpoint directly
-        try:
-            async with aiohttp.ClientSession() as s:
-                async with s.get(f"{url}/health", timeout=aiohttp.ClientTimeout(total=5)) as r:
-                    if r.status != 200:
-                        print(f"Server not ready: {r.status}")
-                        sys.exit(1)
-                    print(f"Server ready: {await r.json()}")
-        except Exception as e:
-            print(f"Cannot reach server: {e}")
-            sys.exit(1)
+    if a.endpoint:
+        workers = await fetch_endpoint_workers(a.endpoint, endpoint_key)
+        if not workers:
+            print("Serverless endpoint has no active workers")
+            sys.exit(1)
+        print(f"Endpoint ready: workers={len(workers)}")
+    else:
+        health = await fetch_server_metrics(url)
+        if not health:
+            # Try health endpoint directly
+            try:
+                async with aiohttp.ClientSession() as s:
+                    async with s.get(f\"{url}/health\", timeout=aiohttp.ClientTimeout(total=5)) as r:
+                        if r.status != 200:
+                            print(f\"Server not ready: {r.status}\")
+                            sys.exit(1)
+                        print(f\"Server ready: {await r.json()}\")
+            except Exception as e:
+                print(f\"Cannot reach server: {e}\")
+                sys.exit(1)
@@
-            metrics = await run_stress_level(url, level, mode, a.audio_duration)
+            metrics = await run_stress_level(
+                url,
+                level,
+                mode,
+                a.audio_duration,
+                a.endpoint,
+                endpoint_key,
+                a.route_cost,
+                a.ws_port,
+            )
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Adding endpoint display to initialization print**


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
-    print(f"URL: {url}")
+    print(f"URL: {url if url else 'via endpoint'}")
+    if a.endpoint:
+        print(f"Endpoint: {a.endpoint}")
     print(f"Modes: {modes}")
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Updating test docstring for new mode**

I'm updating the test_stress.py docstring to include the new `--mode sse` and optional `--endpoint` parameters so the usage info clearly reflects the new SSE streaming functionality.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_stress.py
@@
 Usage:
     python test_stress.py --url http://ip:8000 --mode ws --levels 1,10,50,100
     python test_stress.py --url http://ip:8000 --mode http --levels 1,5,10,20
-    python test_stress.py --url http://ip:8000 --mode both --levels 1,10,50
+    python test_stress.py --url http://ip:8000 --mode sse --levels 1,10,50
+    python test_stress.py --endpoint hindi-asr-prod --mode http --levels 1,5,10
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_stress.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


Summary: auto


**Updating test documentation**

I'm revising the test_smoke docstring to include instructions for the new --endpoint mode alongside the existing --url usage.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/test_smoke.py
@@
-Usage: python test_smoke.py --url http://worker-ip:8000
+Usage:
+  python test_smoke.py --url http://worker-ip:8000
+  python test_smoke.py --endpoint hindi-asr-prod --route-cost 10
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/test_smoke.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Confirming production updates and env setup**

I've ensured `production/worker.py` reads `MODEL_SERVER_PORT` from the `SERVER_PORT` env set to 18000 in onstart; adjusted `production/server.py` for JSON and multipart handling; and verified no unused imports remain. Tests target Python 3.10, so type annotations like `str | None` are compatible.


**Preparing Docker build and login**

I'm updating Dockerfiles to include the worker and confirming no new dependencies are needed. Next, I'll log into Docker Hub securely using the token from `.env` without exposing it, then build and tag the image from `Dockerfile.slim` as `v6-production`.


set -a; source /home/ubuntu/nemo_hindi/.env; set +a; echo "$DOCKER_HUB" | docker login -u bharathkumar192 --password-stdin


Output:
Chunk ID: aefc7d
Wall time: 0.3249 seconds
Process exited with code 0
Original token count: 4
Output:
Login Succeeded


**Building image**


docker build -f production/Dockerfile.slim -t bharathkumar192/hindi-nemotron-asr:v6-production .


Output:
Chunk ID: c6b89f
Wall time: 1.0012 seconds
Process running with session ID 86088
Original token count: 477
Output:
#0 building with "default" instance using docker driver

#1 [internal] load build definition from Dockerfile.slim
#1 transferring dockerfile: 520B done
#1 WARN: UndefinedVar: Usage of undefined variable '$PYTHONPATH' (line 7)
#1 DONE 0.0s

#2 [internal] load metadata for docker.io/bharathkumar192/hindi-nemotron-asr:v5-vram
#2 DONE 0.0s

#3 [internal] load .dockerignore
#3 transferring context: 2B done
#3 DONE 0.0s

#4 [1/7] FROM docker.io/bharathkumar192/hindi-nemotron-asr:v5-vram
#4 CACHED

#5 [internal] load build context
#5 transferring context: 49.79kB done
#5 DONE 0.0s

#6 [2/7] RUN pip install --no-cache-dir soundfile resampy vastai_sdk "python-dateutil>=2.8.2" 2>/dev/null || true
#6 0.506 Requirement already satisfied: soundfile in /usr/local/lib/python3.12/dist-packages (0.13.1)
#6 0.506 Requirement already satisfied: resampy in /usr/local/lib/python3.12/dist-packages (0.4.3)
#6 0.623 Collecting vastai_sdk
#6 0.726   Downloading vastai_sdk-0.4.4-py3-none-any.whl.metadata (2.7 kB)
#6 0.730 Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (2.9.0.post0)
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#6 0.845 Collecting borb<2.2.0,>=2.1.25 (from vastai_sdk)


**Waiting for build completion**


Output:
Chunk ID: 0294de
Wall time: 5.0015 seconds
Process running with session ID 86088
Original token count: 3515
Output:
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#6 0.865 Requirement already satisfied: fastapi<1.0,>=0.110 in /usr/local/lib/python3.12/dist-packages (from vastai_sdk) (0.128.5)
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#6 1.737 Requirement already satisfied: joblib in /usr/local/lib/python3.12/dist-packages (from nltk<3.10,>=3.9->vastai_sdk) (1.5.3)
#6 1.737 Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.12/dist-packages (from nltk<3.10,>=3.9->vastai_sdk) (2026.1.15)
#6 1.737 Requirement already satisfied: tqdm in /usr/local/lib/python3.12/dist-packages (from nltk<3.10,>=3.9->vastai_sdk) (4.67.3)
#6 1.742 Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from transformers<4.53,>=4.52->vastai_sdk) (3.20.3)
#6 1.743 Requirement already satisfied: huggingface-hub<1.0,>=0.30.0 in /usr/local/lib/python3.12/dist-packages (from transformers<4.53,>=4.52->vastai_sdk) (0.36.2)
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#6 1.877 Collecting tokenizers<0.22,>=0.21 (from transformers<4.53,>=4.52->vastai_sdk)
#6 1.897   Downloading tokenizers-0.21.4-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB)
#6 1.967 Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.12/dist-packages (from transformers<4.53,>=4.52->vastai_sdk) (0.7.0)
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#6 1.972 Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0,>=0.30.0->transformers<4.53,>=4.52->vastai_sdk) (1.2.0)
#6 1.981 Requirement already satisfied: h11>=0.8 in /usr/local/lib/python3.12/dist-packages (from uvicorn<0.32,>=0.24->uvicorn[standard]<0.32,>=0.24->vastai_sdk) (0.16.0)
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#6 1.988 INFO: pip is looking at multiple versions of aiodns to determine which version is compatible with other requirements. This could take a while.
#6 1.988 Collecting aiodns>=3.6.0 (from vastai_sdk)
#6 2.006   Downloading aiodns-3.6.1-py3-none-any.whl.metadata (5.8 kB)
#6 2.009 Requirement already satisfied: aiohappyeyeballs>=2.5.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp>=3.9.1->vastai_sdk) (2.6.1)
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#6 2.050 Collecting jsonschema-specifications>=2023.03.6 (from jsonschema>=3.2->vastai_sdk)
#6 2.066   Downloading jsonschema_specifications-2025.9.1-py3-none-any.whl.metadata (2.9 kB)
#6 2.087 Collecting referencing>=0.28.4 (from jsonschema>=3.2->vastai_sdk)
#6 2.104   Downloading referencing-0.37.0-py3-none-any.whl.metadata (2.8 kB)
#6 2.335 Collecting rpds-py>=0.25.0 (from jsonschema>=3.2->vastai_sdk)
#6 2.353   Downloading rpds_py-0.30.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.1 kB)
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#6 2.426 Downloading vastai_sdk-0.4.4-py3-none-any.whl (96 kB)
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#6 2.511 Downloading anyio-4.4.0-py3-none-any.whl (86 kB)
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#6 2.639 Downloading psutil-6.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (290 kB)
#6 2.657 Downloading pycryptodome-3.20.0-cp35-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB)
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#6 2.679 Downloading transformers-4.52.4-py3-none-any.whl (10.5 MB)
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#6 2.734 Downloading tokenizers-0.21.4-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)
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#6 2.757 Downloading uvicorn-0.31.1-py3-none-any.whl (63 kB)
#6 2.774 Downloading aiodns-3.6.1-py3-none-any.whl (8.0 kB)
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#6 2.825 Downloading jsonschema-4.26.0-py3-none-any.whl (90 kB)
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#6 2.859 Downloading python_barcode-0.16.1-py3-none-any.whl (228 kB)
#6 2.876 Downloading pytz-2025.2-py2.py3-none-any.whl (509 kB)
#6 2.894 Downloading qrcode-8.2-py3-none-any.whl (45 kB)
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#6 2.945 Downloading sniffio-1.3.1-py3-none-any.whl (10 kB)
#6 2.962 Downloading xdg-6.0.0-py3-none-any.whl (3.9 kB)
#6 3.380 Installing collected packages: pytz, xdg, uvicorn, sniffio, rpds-py, qrcode, python-barcode, pycryptodome, psutil, nltk, referencing, pycares, cryptography, anyio, tokenizers, jsonschema-specifications, borb, aiodns, transformers, jsonschema, vastai_sdk
#6 3.478   Attempting uninstall: uvicorn
#6 3.485     Found existing installation: uvicorn 0.40.0
#6 3.490     Uninstalling uvicorn-0.40.0:
#6 3.519       Successfully uninstalled uvicorn-0.40.0
#6 3.987   Attempting uninstall: psutil
#6 3.995     Found existing installation: psutil 7.2.2
#6 3.998     Uninstalling psutil-7.2.2:
#6 4.005       Successfully uninstalled psutil-7.2.2
#6 4.857   Attempting uninstall: cryptography
#6 4.866     Found existing installation: cryptography 3.4.8
#6 4.868     Uninstalling cryptography-3.4.8:
#6 4.927       Successfully uninstalled cryptography-3.4.8
#6 5.080   Attempting uninstall: anyio
#6 5.086     Found existing installation: anyio 4.12.1
#6 5.091     Uninstalling anyio-4.12.1:
#6 5.116       Successfully uninstalled anyio-4.12.1
#6 5.187   Attempting uninstall: tokenizers
#6 5.193     Found existing installation: tokenizers 0.22.2
#6 5.196     Uninstalling tokenizers-0.22.2:
#6 5.228       Successfully uninstalled tokenizers-0.22.2
#6 5.953   Attempting uninstall: transformers
#6 5.959     Found existing installation: transformers 4.57.6
#6 6.153     Uninstalling transformers-4.57.6:
#6 7.533       Successfully uninstalled transformers-4.57.6


Output:
Chunk ID: a1473d
Wall time: 3.6316 seconds
Process exited with code 0
Original token count: 273
Output:
#6 12.96
#6 12.98 Successfully installed aiodns-3.6.1 anyio-4.4.0 borb-2.1.25 cryptography-46.0.4 jsonschema-4.26.0 jsonschema-specifications-2025.9.1 nltk-3.9.2 psutil-6.0.0 pycares-4.11.0 pycryptodome-3.20.0 python-barcode-0.16.1 pytz-2025.2 qrcode-8.2 referencing-0.37.0 rpds-py-0.30.0 sniffio-1.3.1 tokenizers-0.21.4 transformers-4.52.4 uvicorn-0.31.1 vastai_sdk-0.4.4 xdg-6.0.0
#6 DONE 13.7s

#7 [3/7] COPY production/server.py /app/server.py
#7 DONE 0.0s

#8 [4/7] COPY production/worker.py /app/worker.py
#8 DONE 0.0s

#9 [5/7] COPY production/onstart.sh /app/onstart.sh
#9 DONE 0.0s

#10 [6/7] RUN chmod +x /app/onstart.sh
#10 DONE 0.1s

#11 [7/7] RUN mkdir -p /var/log/model
#11 DONE 0.2s

#12 exporting to image
#12 exporting layers
#12 exporting layers 1.3s done
#12 writing image sha256:b5df3f401e325d1447e77a4c3a308619f52c5e4f333ede3eb2a31b2ee89c8803 done
#12 naming to docker.io/bharathkumar192/hindi-nemotron-asr:v6-production done
#12 DONE 1.3s

 1 warning found (use docker --debug to expand):
 - UndefinedVar: Usage of undefined variable '$PYTHONPATH' (line 7)


**Pushing image to Docker Hub**


Output:
Chunk ID: 935551
Wall time: 1.0011 seconds
Process running with session ID 93379
Original token count: 251
Output:
The push refers to repository [docker.io/bharathkumar192/hindi-nemotron-asr]
57d7668d11aa: Preparing
899948526791: Preparing
899948526791: Preparing
921a3847d09c: Preparing
e9d8a32d6ccb: Preparing
3c45e67d2f27: Preparing
8c394962695c: Preparing
d3e85491259d: Preparing
891287ea98fb: Preparing
0e5872be6ca2: Preparing
145b1502b83c: Preparing
a0200b718862: Preparing
2c753ce5f8e2: Preparing
027c387a337f: Preparing
d995e7230cef: Preparing
84d22ebba73e: Preparing
96375e867c78: Preparing
18c3fae4e9c4: Preparing
f72f00af3d11: Preparing
cc9ee102691b: Preparing
f0caebf6d886: Preparing
782979f338e9: Preparing
2573e0d81582: Preparing
027c387a337f: Waiting
0e5872be6ca2: Waiting
8c394962695c: Waiting
d995e7230cef: Waiting
d3e85491259d: Waiting
84d22ebba73e: Waiting
a0200b718862: Waiting
891287ea98fb: Waiting
96375e867c78: Waiting
18c3fae4e9c4: Waiting
145b1502b83c: Waiting
782979f338e9: Waiting
f72f00af3d11: Waiting
2573e0d81582: Waiting
f0caebf6d886: Waiting
cc9ee102691b: Waiting
2c753ce5f8e2: Waiting


**Waiting for push completion**


Output:
Chunk ID: 276e36
Wall time: 5.0010 seconds
Process running with session ID 93379
Original token count: 170
Output:
899948526791: Pushed
57d7668d11aa: Pushed
921a3847d09c: Pushed
e9d8a32d6ccb: Pushed
8c394962695c: Layer already exists
d3e85491259d: Layer already exists
891287ea98fb: Layer already exists
0e5872be6ca2: Layer already exists
145b1502b83c: Layer already exists
a0200b718862: Layer already exists
2c753ce5f8e2: Layer already exists
027c387a337f: Layer already exists
d995e7230cef: Layer already exists
84d22ebba73e: Layer already exists
96375e867c78: Layer already exists
18c3fae4e9c4: Layer already exists
f72f00af3d11: Layer already exists
f0caebf6d886: Layer already exists
cc9ee102691b: Layer already exists
782979f338e9: Layer already exists
2573e0d81582: Layer already exists


**Polling for push completion**


Output:
Chunk ID: 1645bb
Wall time: 5.0012 seconds
Process running with session ID 93379
Original token count: 6
Output:
3c45e67d2f27: Pushed


Output:
Chunk ID: fc7cd5
Wall time: 0.0511 seconds
Process exited with code 0
Original token count: 27
Output:
v6-production: digest: sha256:820998f3bfbcb45d7f31666b7a9dd51d4fb866bf06c164536255ad1005b0d5bb size: 5142


**Planning worker redeployment with template retention**

To update the worker image safely, I’ll first query the existing workergroup’s template hash to preserve it, then set it in the environment before destroying and recreating the endpoint using deploy.py. This ensures the new endpoint uses the same template despite the destroy step removing the workergroup.


**Evaluating endpoint and worker stop options**

I’m assessing how to safely stop or delete existing endpoint workers to trigger redeployment, considering API limitations like 404s on endpoint details and uncertainty around stopping endpoints via PUT or DELETE calls; next, I’ll test destroy command behavior and attempt deleting workergroups or instances via API to find a reliable method.


python3 - <<'PY'
import requests
from pathlib import Path
key=None
for line in Path('.env').read_text().splitlines():
    if line.startswith('VAST_KEY='):
        key=line.split('=',1)[1].strip(); break
VAST_API='https://console.vast.ai/api/v0'
headers={'Accept':'application/json','Authorization':f'Bearer {key}'}
# try HEAD/OPTIONS to see if delete supported
resp=requests.options(f"{VAST_API}/workergroups/16773/", headers=headers)
print('OPTIONS', resp.status_code, resp.text[:200])
PY


Output:
Chunk ID: 6b1940
Wall time: 0.2309 seconds
Process exited with code 0
Original token count: 4
Output:
OPTIONS 204


**Testing DELETE method despite missing OPTIONS info**

I'm planning to attempt a DELETE request even though OPTIONS returned 204 without allowed methods, to verify if DELETE is supported or rejected.


python3 - <<'PY'
import requests
from pathlib import Path
key=None
for line in Path('.env').read_text().splitlines():
    if line.startswith('VAST_KEY='):
        key=line.split('=',1)[1].strip(); break
VAST_API='https://console.vast.ai/api/v0'
headers={'Accept':'application/json','Authorization':f'Bearer {key}'}
resp=requests.delete(f"{VAST_API}/workergroups/16773/", headers=headers)
print('DELETE', resp.status_code)
print(resp.text[:200])
PY


Output:
Chunk ID: b4b117
Wall time: 0.9172 seconds
Process exited with code 0
Original token count: 8
Output:
DELETE 200
{"success": true}


**Confirming workergroup deletion and endpoint state**


python3 - <<'PY'
import requests
from pathlib import Path
key=None
for line in Path('.env').read_text().splitlines():
    if line.startswith('VAST_KEY='):
        key=line.split('=',1)[1].strip(); break
VAST_API='https://console.vast.ai/api/v0'
headers={'Accept':'application/json','Authorization':f'Bearer {key}'}
wg=requests.get(f"{VAST_API}/workergroups/", headers=headers).json().get('results',[])
print('workergroups', len(wg))
print(wg)
PY


Output:
Chunk ID: 7557c1
Wall time: 0.2374 seconds
Process exited with code 0
Original token count: 5
Output:
workergroups 0
[]


Summary: auto


**Creating new workergroup with saved template hash**

The previous workergroup was deleted, so I'll create a new one using the saved template hash via the VAST_TEMPLATE_HASH environment variable during deployment. I'll run the create command with this variable and expect the endpoint creation to gracefully handle already existing endpoints.


VAST_TEMPLATE_HASH=3ac272ae9dc0ae58d105a1d88145a325 VAST_LAUNCH_ARGS='-p 8000:8000 -p 18000:18000' python3 production/deploy.py create


Output:
Chunk ID: 6d4147
Wall time: 0.8596 seconds
Process exited with code 0
Original token count: 82
Output:
Creating endpoint: hindi-asr-prod
  Error: {'success': False, 'error': 'invalid_args', 'msg': 'error: account already contains endpoint group 11967 with endpoint_name: hindi-asr-prod'}
Creating workergroup for endpoint 11967
  Error: {'success': False, 'error': 'invalid_args', 'msg': 'error: search_params can not be null'}


**Debugging missing template hash in payload**

The code sets the environment variable but reads TEMPLATE_HASH once at module import, so later env changes don’t update it; this likely causes create_workergroup to miss the template_hash and fail due to missing search_params. Next, I'll confirm by printing the env variable from a test script.


**Confirming environment variable accessibility**

The environment variable is set before the script runs, so it should be accessible; I'll verify if get_template_hash returns an empty string despite this by printing the variable at runtime.


VAST_TEMPLATE_HASH=3ac272ae9dc0ae58d105a1d88145a325 python3 - <<'PY'
import os
print(os.environ.get('VAST_TEMPLATE_HASH'))
PY


Output:
Chunk ID: 59cc4f
Wall time: 0.0503 seconds
Process exited with code 0
Original token count: 9
Output:
3ac272ae9dc0ae58d105a1d88145a325


**Analyzing template_hash usage and error cause**

Noticed that the environment variable sets the template hash, but the constant loaded at import might not reflect it dynamically. The error about missing search_params may mean the template_hash used is empty, invalid, or the API still requires search_params despite docs. Planning to replicate a simple API request with template_hash to verify the root cause.


python3 - <<'PY'
import requests
from pathlib import Path
key=None
for line in Path('.env').read_text().splitlines():
    if line.startswith('VAST_KEY='):
        key=line.split('=',1)[1].strip(); break
VAST_API='https://console.vast.ai/api/v0'
headers={'Accept':'application/json','Authorization':f'Bearer {key}'}
endpoint_id=11967
payload={'endpoint_id': endpoint_id, 'template_hash':'3ac272ae9dc0ae58d105a1d88145a325', 'gpu_ram':40, 'launch_args':'-p 8000:8000 -p 18000:18000'}
resp=requests.post(f"{VAST_API}/workergroups/", headers=headers, json=payload)
print('status', resp.status_code)
print(resp.text[:300])
PY


Output:
Chunk ID: a26c2c
Wall time: 0.2674 seconds
Process exited with code 0
Original token count: 25
Output:
status 400
{"success":false,"error":"invalid_args","msg":"error: search_params can not be null"}


**Updating API call to always include search_params**

The API requires search_params even when template_hash is provided, so deploy.py will be changed to always include search_params and launch_args in the payload, ensuring create_workergroup passes them consistently.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/deploy.py
@@
-    if template_hash:
-        payload["template_hash"] = template_hash
-    else:
-        payload["search_params"] = json.dumps(SEARCH_PARAMS)
-    if LAUNCH_ARGS:
+    if template_hash:
+        payload["template_hash"] = template_hash
+    payload["search_params"] = json.dumps(SEARCH_PARAMS)
+    if LAUNCH_ARGS:
         payload["launch_args"] = LAUNCH_ARGS
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/deploy.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Running workergroup creation despite endpoint existence**


Output:
Chunk ID: 61177d
Wall time: 0.6960 seconds
Process exited with code 0
Original token count: 127
Output:
Creating endpoint: hindi-asr-prod
  Error: {'success': False, 'error': 'invalid_args', 'msg': 'error: account already contains endpoint group 11967 with endpoint_name: hindi-asr-prod'}
Creating workergroup for endpoint 11967
  Error: {'success': False, 'error': 'invalid_args', 'msg': 'Error parsing invalid search_params: {"verified": {"eq": true}, "rentable": {"eq": true}, "rented": {"eq": false}, "gpu_ram": {"gte": 40}, "num_gpus": {"eq": 1}, "reliability": {"gte": 0.95}, "inet_down": {"gte": 200}}'}


**Identifying mismatch in search parameter format**

Observed that the API may expect a query string under `search_query` rather than JSON under `search_params` during workergroup creation, prompting a review of earlier usage and documentation to clarify the correct parameter and format.


**Testing string format for search parameters**

Considering that the API might require `search_params` as a CLI-style query string rather than JSON, I plan to test sending an empty string or a query-formatted string to resolve the "invalid search_params" error.


python3 - <<'PY'
import requests
from pathlib import Path
key=None
for line in Path('.env').read_text().splitlines():
    if line.startswith('VAST_KEY='):
        key=line.split('=',1)[1].strip(); break
VAST_API='https://console.vast.ai/api/v0'
headers={'Accept':'application/json','Authorization':f'Bearer {key}'}
endpoint_id=11967
payload={'endpoint_id': endpoint_id, 'template_hash':'3ac272ae9dc0ae58d105a1d88145a325', 'gpu_ram':40, 'launch_args':'-p 8000:8000 -p 18000:18000', 'search_params': ''}
resp=requests.post(f"{VAST_API}/workergroups/", headers=headers, json=payload)
print('status', resp.status_code)
print(resp.text[:300])
PY


Output:
Chunk ID: f7de94
Wall time: 0.2723 seconds
Process exited with code 0
Original token count: 11
Output:
status 200
{"success": true, "id": 16777}


**Adjusting search_params handling for template_hash**

Decided to set search_params to an empty string when template_hash is used because JSON search_params cause errors; deploy.py will reflect this conditional logic and skip recreating the existing workergroup.


Input:
*** Begin Patch
*** Update File: /home/ubuntu/nemo_hindi/production/deploy.py
@@
-    if template_hash:
-        payload["template_hash"] = template_hash
-    payload["search_params"] = json.dumps(SEARCH_PARAMS)
+    if template_hash:
+        payload["template_hash"] = template_hash
+        payload["search_params"] = ""
+    else:
+        payload["search_params"] = json.dumps(SEARCH_PARAMS)
*** End Patch


Output: {"output":"Success. Updated the following files:\nM /home/ubuntu/nemo_hindi/production/deploy.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


**Checking worker group readiness and image usage**

I'm verifying that the manually created worker group is active and using the new image tag by inspecting workers via the endpoint key and examining logs if needed; I'll start by running the deployment script's worker listing command to confirm.


Output:
Chunk ID: 31e6c3
Wall time: 0.7766 seconds
Process exited with code 0
Original token count: 1
Output:
[]


**Investigating empty workers list**

The workers list is empty likely because the workergroup is still provisioning and no workers are ready yet. I'll check the autogroup workers status via the run API using the workergroup ID and endpoint key to confirm.


python3 - <<'PY'
import requests
from pathlib import Path
# get endpoint key
acc_key=None
for line in Path('.env').read_text().splitlines():
    if line.startswith('VAST_KEY='):
        acc_key=line.split('=',1)[1].strip(); break
VAST_API='https://console.vast.ai/api/v0'
endpoint = requests.get(f"{VAST_API}/endptjobs/", headers={'Accept':'application/json','Authorization':f'Bearer {acc_key}'}).json()['results'][0]
endpoint_key = endpoint['api_key']
# get workers for workergroup
resp = requests.post('https://run.vast.ai/get_autogroup_workers/', json={'id':16777,'api_key':endpoint_key}, headers={'Content-Type':'application/json'})
print('status', resp.status_code)
print(resp.text[:300])
PY


Output:
Chunk ID: d77fc3
Wall time: 0.4591 seconds
Process exited with code 0
Original token count: 4
Output:
status 200
[]


Summary: auto


**Verifying workergroup existence**

Planning to check the current workergroup list to confirm if the configured workergroup exists and is active, since no workers have appeared yet despite specifying cold workers in the endpoint config.


python3 - <<'PY'
import requests
from pathlib import Path
key=None
for line in Path('.env').read_text().splitlines():
    if line.startswith('VAST_KEY='):
        key=line.split('=',1)[1].strip(); break
VAST_API='https://console.vast.ai/api/v0'
headers={'Accept':'application/json','Authorization':f'Bearer {key}'}
res=requests.get(f"{VAST_API}/workergroups/", headers=headers).json().get('results',[])
print('workergroups', len(res))
for wg in res:
    print(wg.get('id'), wg.get('endpoint_id'), wg.get('template_hash'), wg.get('launch_args'))
PY


Output:
Chunk ID: b01d01
Wall time: 0.2642 seconds
Process exited with code 0
Original token count: 22
Output:
workergroups 1
16777 11967 3ac272ae9dc0ae58d105a1d88145a325 -p 8000:8000 -p 18000:18000


**Testing serverless worker spawn via /route**

I'm planning to call the /route endpoint to trigger the serverless workers to spin up, checking if it returns status or errors when no workers exist yet. This will clarify when the serverless environment initializes.


Output:
Chunk ID: b3056c
Wall time: 0.4615 seconds
Process exited with code 0
Original token count: 51
Output:
{
  "__request_id": "e67445e0-33d0-4dbe-a456-756ce21fecac",
  "endpoint": "hindi-asr-prod",
  "request_idx": 11,
  "status": "total workers: 0 loading workers: 0 standby workers: 0 error workers: 0"
}


**Investigating missing serverless workers**

I'm exploring why no serverless workers appear for the endpoint, suspecting missing or inactive workergroup activation and uncertain if parameters like `test_workers` or calling a workergroup activate/testworkers endpoint are needed to spawn workers despite min_load being set. I'll verify endpoint config details like `cold_workers` and check job listings to clarify.


python3 - <<'PY'
import requests
from pathlib import Path
key=None
for line in Path('.env').read_text().splitlines():
    if line.startswith('VAST_KEY='):
        key=line.split('=',1)[1].strip(); break
VAST_API='https://console.vast.ai/api/v0'
headers={'Accept':'application/json','Authorization':f'Bearer {key}'}
res=requests.get(f"{VAST_API}/endptjobs/", headers=headers).json().get('results',[])
print(res)
PY