removed test_files

agent.py

@@ -20,8 +20,9 @@ from smolagents import (
 load_dotenv()
 
 from langfuse import Langfuse,get_client
-langfuse = Langfuse(environment='PROD_ON_HUGGINGFACE')
+langfuse = Langfuse(environment='PROD_V1')
 langfuse = get_client()
+
 if langfuse.auth_check():
     print("Langfuse client is authenticated and ready!")
 else:

app.py

@@ -29,9 +29,7 @@ now = datetime.utcnow().isoformat()
 logging.info(f"Processing request {now}")
 
 # Use langfuse to log traces
-from langfuse import Langfuse, get_client, propagate_attributes
-langfuse = Langfuse(environment='PROD_ON_HUGGINGFACE')
-langfuse = get_client()
+from langfuse import propagate_attributes
  
 # --- PATCH --- In order to be able to stream Agent intenal steps to Gradio interface
 # --- OpenTelemetry detach bug (generator-safe) ---
@@ -91,7 +89,9 @@ def Agent(question, history):
         question_with_history = "Conversation history:\n" + str(history) + "\n\nNew user question:\n " + question
 
         # Propagate session_id to all child observations
-        with propagate_attributes(session_id=f"PROD_usrID_{now}"):
+        with propagate_attributes(tags=["Production","Code Agent","HuggingSpace"],
+                                  user_id="Add logic for troubleshootinh",
+                                  session_id=f"Add logic to bill user according to usage"):
             for st in safe_agent.run(question_with_history,stream=True,return_full_result=True):
                 if isinstance(st, smolagents.memory.PlanningStep):
                     plan = 20*"# " + "\n# Planning of manager agent" + st.plan.split("## 2. Plan")[-1]

test_nebius_mode.ipynb

@@ -1,105 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "371b903a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Available models:\n",
-      "- meta-llama/Meta-Llama-3.1-8B-Instruct-fast\n",
-      "- meta-llama/Meta-Llama-3.1-8B-Instruct\n",
-      "- meta-llama/Llama-Guard-3-8B\n",
-      "- nvidia/Llama-3_1-Nemotron-Ultra-253B-v1\n",
-      "- nvidia/Nemotron-Nano-V2-12b\n",
-      "- google/gemma-2-2b-it\n",
-      "- google/gemma-2-9b-it-fast\n",
-      "- Qwen/Qwen2.5-Coder-7B-fast\n",
-      "- BAAI/bge-en-icl\n",
-      "- BAAI/bge-multilingual-gemma2\n",
-      "- intfloat/e5-mistral-7b-instruct\n",
-      "- meta-llama/Llama-3.3-70B-Instruct\n",
-      "- meta-llama/Llama-3.3-70B-Instruct-fast\n",
-      "- deepseek-ai/DeepSeek-R1-0528\n",
-      "- Qwen/Qwen3-235B-A22B-Instruct-2507\n",
-      "- Qwen/Qwen3-235B-A22B-Thinking-2507\n",
-      "- Qwen/Qwen3-32B\n",
-      "- Qwen/Qwen3-32B-fast\n",
-      "- google/gemma-3-27b-it\n",
-      "- google/gemma-3-27b-it-fast\n",
-      "- Qwen/Qwen2.5-VL-72B-Instruct\n",
-      "- Qwen/Qwen3-Embedding-8B\n",
-      "- deepseek-ai/DeepSeek-V3-0324\n",
-      "- zai-org/GLM-4.5\n",
-      "- zai-org/GLM-4.5-Air\n",
-      "- openai/gpt-oss-120b\n",
-      "- openai/gpt-oss-20b\n",
-      "- deepseek-ai/DeepSeek-R1-0528-fast\n",
-      "- deepseek-ai/DeepSeek-V3-0324-fast\n",
-      "- moonshotai/Kimi-K2-Instruct\n",
-      "- Qwen/Qwen3-30B-A3B-Thinking-2507\n",
-      "- Qwen/Qwen3-30B-A3B-Instruct-2507\n",
-      "- Qwen/Qwen3-Coder-30B-A3B-Instruct\n",
-      "- Qwen/Qwen3-Coder-480B-A35B-Instruct\n",
-      "- NousResearch/Hermes-4-70B\n",
-      "- NousResearch/Hermes-4-405B\n",
-      "- PrimeIntellect/INTELLECT-3\n",
-      "- moonshotai/Kimi-K2-Thinking\n",
-      "- black-forest-labs/flux-dev\n",
-      "- black-forest-labs/flux-schnell\n"
-     ]
-    }
-   ],
-   "source": [
-    "import requests\n",
-    "import os\n",
-    "\n",
-    "api_key = os.environ.get(\"NEBIUS_API_KEY\")\n",
-    "headers = {\n",
-    "    \"Authorization\": f\"Bearer {api_key}\",\n",
-    "    \"Content-Type\": \"application/json\"\n",
-    "}\n",
-    "\n",
-    "# Try the models endpoint\n",
-    "response = requests.get(\n",
-    "    \"https://api.tokenfactory.nebius.com/v1/models\",\n",
-    "    headers=headers\n",
-    ")\n",
-    "\n",
-    "if response.status_code == 200:\n",
-    "    models = response.json()\n",
-    "    print(\"Available models:\")\n",
-    "    for model in models.get('data', []):\n",
-    "        print(f\"- {model.get('id')}\")\n",
-    "else:\n",
-    "    print(f\"Error: {response.status_code}\")\n",
-    "    print(response.text)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "mcp-birthday",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.19"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}