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.claude/settings.local.json

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+{
+  "permissions": {
+    "allow": [
+      "mcp__container-use__environment_open",
+      "mcp__container-use__environment_update",
+      "mcp__container-use__environment_file_write",
+      "mcp__container-use__environment_file_read",
+      "mcp__container-use__environment_run_cmd",
+      "mcp__container-use__environment_file_list"
+    ],
+    "deny": []
+  }
+}

.container-use/AGENT.md

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+This environment contains a chatbot project using HuggingFace's smol-agent and Gradio:
+- Python 3.10 is installed
+- Required packages: smolagents, gradio, python-dotenv
+- Use pip for dependency management
+- Environment variables are loaded from .env file using python-dotenv
+- Run the app with: python app_gradio.py

.container-use/environment.json

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+{
+  "workdir": "/workdir",
+  "base_image": "python:3.10-slim",
+  "setup_commands": [
+    "apt-get update",
+    "apt-get install -y git",
+    "pip install gradio smolagents python-dotenv"
+  ]
+}

.github/copilot-instructions.md

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+ALWAYS use ONLY Environments for ANY and ALL file, code, or shell operations—NO EXCEPTIONS—even for simple or generic requests.
+
+DO NOT install or use the git cli with the environment_run_cmd tool. All environment tools will handle git operations for you. Changing ".git" yourself will compromise the integrity of your environment.
+
+You MUST inform the user how to view your work using `cu log <env_id>` AND `cu checkout <env_id>`. Failure to do this will make your work inaccessible to others.

.gitignore

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+# Environment variables
+.env
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Virtual environments
+venv/
+ENV/
+.venv
+
+# IDE files
+.idea/
+.vscode/
+*.swp
+*.swo

.python-version

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+3.12

CLAUDE.md

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+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Environment Instructions
+
+ALWAYS use ONLY Environments for ANY and ALL file, code, or shell operations—ONLY EXCEPTIONS is modifications for CLAUDE.md or the command /init—even for simple or generic requests.
+
+DO NOT install or use the git cli with the environment_run_cmd tool. All environment tools will handle git operations for you. Changing ".git" yourself will compromise the integrity of your environment.
+
+You MUST inform the user how to view your work using `cu log <env_id>` AND `cu checkout <env_id>`. Failure to do this will make your work inaccessible to others.
+
+## Project Architecture
+
+This project is a simple chatbot implementation using HuggingFace's smol-agent:
+
+- **chatbot.py**: Core implementation using `smolagents.CodeAgent` and `HfApiModel` for LLM-based chat responses
+- **app.py**: API server for the chatbot (intended to be implemented)
+- **Configuration**: Environment variables loaded from `.env` file for API keys and model settings
+- reference @repomix-output.xml has in a single file all the functions of the project, update often.
+
+The chatbot currently uses the "meta-llama/Llama-3.3-70B-Instruct" model via the HuggingFace API.
+
+## Common Commands
+
+### Environment Setup
+
+```bash
+# Copy example environment file and fill in your HuggingFace API key
+cp .env.example .env
+
+# Install dependencies using uv
+uv pip install .
+```
+
+### Running the Application
+
+```bash
+# Run the CLI chatbot
+python chatbot.py
+
+# Run the API server (once implemented)
+python app.py
+```
+
+### Development Workflow
+
+```bash
+# Update dependencies (when modifying pyproject.toml)
+uv pip install --upgrade .
+
+# Run with specific model settings
+HF_API_TOKEN=your_token MODEL_NAME=your_model python chatbot.py
+```

README.md

@@ -1,12 +1,49 @@
 ---
-title: Huggingface Small Agent Test
-emoji: 📉
-colorFrom: gray
-colorTo: red
+title: huggingface-small-agent-test
+app_file: app.py
 sdk: gradio
 sdk_version: 5.34.2
-app_file: app.py
-pinned: false
 ---
+# HuggingFace Smol-Agent Chatbot
+
+A simple chatbot implementation using HuggingFace's smol-agent.
+
+## Setup
+
+1. Clone this repository
+2. Create a `.env` file based on `.env.example`:
+   ```bash
+   cp .env.example .env
+   ```
+3. Add your HuggingFace API token to the `.env` file
+
+## Usage
+
+### Install dependencies
+
+```bash
+uv pip install .
+```
+
+### Run the CLI chatbot
+
+```bash
+python chatbot.py
+```
+
+### Run the API server
+
+```bash
+python api.py
+```
+
+The API will be available at http://localhost:8000
+
+## API Endpoints
+
+- **POST /chat**: Send a message to the chatbot
+  - Request: `{"message": "Hello, how are you?"}`
+  - Response: `{"response": "I'm doing well, thank you for asking!"}`
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+- **GET /health**: Check if the API is running
+  - Response: `{"status": "ok"}`

app.py

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+import os
+import gradio as gr
+from dotenv import load_dotenv
+from smolagents import CodeAgent, HfApiModel
+
+# Load environment variables
+load_dotenv()
+
+# Get API token and model settings from environment variables
+hf_api_token = os.getenv("HF_API_TOKEN")
+model_name = os.getenv("MODEL_NAME", "meta-llama/Llama-3.3-70B-Instruct")
+max_new_tokens = int(os.getenv("MAX_NEW_TOKENS", 500))
+temperature = float(os.getenv("TEMPERATURE", 0.7))
+from chatbot import agent
+
+
+
+# Chat history to maintain conversation context
+def chatbot(message, history):
+    # Get response from agent
+    response = agent.run(message)
+    return response
+
+# Create Gradio interface
+demo = gr.ChatInterface(
+    fn=chatbot,
+    title="Smol-Agent Chatbot",
+    description="Ask me anything!",
+    examples=[
+        "What is machine learning?",
+        "How does a transformer model work?",
+        "Explain quantum computing in simple terms"
+    ],
+    theme=gr.themes.Soft()
+)
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

chatbot.py

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+# /// script
+# dependencies = [
+#     "smolagents",
+# ]
+# ///
+from smolagents import CodeAgent, HfApiModel, LiteLLMModel, AmazonBedrockServerModel
+
+model = AmazonBedrockServerModel(model_id="us.anthropic.claude-3-7-sonnet-20250219-v1:0")
+
+
+# Managed Agent
+agent = CodeAgent(
+	tools=[], 
+    model=model,
+    name="mychatbot",
+	description="A chatbot for various tasks",
+	verbosity_level=2,
+	max_steps=10,
+    add_base_tools=False,
+)

process1.md

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+# Create a chat bot
+
+Create HF smol-agent lets create a simple chatbot that read a string and reply.
+Use python-dotenv to load all the variables from the .env
+Use uvx to manage python dependencies.

pyproject.toml

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+[project]
+name = "huggingface-small-agent-test"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "smolagents[aws-sdk,bedrock,litellm]>=1.18.0",
+    "gradio[mcp]>=4.0.0",
+    "python-dotenv>=1.0.0",
+]

repomix-output.xml

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+This file is a merged representation of the entire codebase, combined into a single document by Repomix.
+
+<file_summary>
+This section contains a summary of this file.
+
+<purpose>
+This file contains a packed representation of the entire repository's contents.
+It is designed to be easily consumable by AI systems for analysis, code review,
+or other automated processes.
+</purpose>
+
+<file_format>
+The content is organized as follows:
+1. This summary section
+2. Repository information
+3. Directory structure
+4. Repository files (if enabled)
+5. Multiple file entries, each consisting of:
+  - File path as an attribute
+  - Full contents of the file
+</file_format>
+
+<usage_guidelines>
+- This file should be treated as read-only. Any changes should be made to the
+  original repository files, not this packed version.
+- When processing this file, use the file path to distinguish
+  between different files in the repository.
+- Be aware that this file may contain sensitive information. Handle it with
+  the same level of security as you would the original repository.
+</usage_guidelines>
+
+<notes>
+- Some files may have been excluded based on .gitignore rules and Repomix's configuration
+- Binary files are not included in this packed representation. Please refer to the Repository Structure section for a complete list of file paths, including binary files
+- Files matching patterns in .gitignore are excluded
+- Files matching default ignore patterns are excluded
+- Files are sorted by Git change count (files with more changes are at the bottom)
+</notes>
+
+</file_summary>
+
+<directory_structure>
+.claude/
+  settings.local.json
+.container-use/
+  AGENT.md
+  environment.json
+.env.example
+.gitignore
+.python-version
+chatbot.py
+CLAUDE.md
+process1.md
+pyproject.toml
+README.md
+</directory_structure>
+
+<files>
+This section contains the contents of the repository's files.
+
+<file path=".claude/settings.local.json">
+{
+  "permissions": {
+    "allow": [
+      "mcp__container-use__environment_open",
+      "mcp__container-use__environment_update",
+      "mcp__container-use__environment_file_write"
+    ],
+    "deny": []
+  }
+}
+</file>
+
+<file path=".env.example">
+# HF API Key for smol-agent
+HF_API_TOKEN=your_huggingface_api_token_here
+
+# Chatbot settings
+MODEL_NAME=HuggingFaceH4/zephyr-7b-beta
+MAX_NEW_TOKENS=500
+TEMPERATURE=0.7
+</file>
+
+<file path=".gitignore">
+# Environment variables
+.env
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Virtual environments
+venv/
+ENV/
+.venv
+
+# IDE files
+.idea/
+.vscode/
+*.swp
+*.swo
+</file>
+
+<file path=".python-version">
+3.12
+</file>
+
+<file path="process1.md">
+# Create a chat bot
+
+Create HF smol-agent lets create a simple chatbot that read a string and reply.
+Use python-dotenv to load all the variables from the .env
+Use uvx to manage python dependencies.
+</file>
+
+<file path=".container-use/AGENT.md">
+This environment contains a chatbot project using HuggingFace's smol-agent.
+- Python 3.10 is installed
+- Use `uvx` for dependency management
+- Environment variables are loaded from .env file using python-dotenv
+- Use `uvx run` to run Python scripts with dependencies
+</file>
+
+<file path=".container-use/environment.json">
+{
+  "workdir": "/workdir",
+  "base_image": "python:3.10-slim",
+  "setup_commands": [
+    "apt-get update",
+    "apt-get install -y git",
+    "pip install uv",
+    "alias uvx=\"uv\""
+  ]
+}
+</file>
+
+<file path="CLAUDE.md">
+ALWAYS use ONLY Environments for ANY and ALL file, code, or shell operations—NO EXCEPTIONS—even for simple or generic requests.
+
+DO NOT install or use the git cli with the environment_run_cmd tool. All environment tools will handle git operations for you. Changing ".git" yourself will compromise the integrity of your environment.
+
+You MUST inform the user how to view your work using `cu log <env_id>` AND `cu checkout <env_id>`. Failure to do this will make your work inaccessible to others.
+</file>
+
+<file path="pyproject.toml">
+[project]
+name = "huggingface-small-agent-test"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "smolagents>=1.18.0",
+]
+</file>
+
+<file path="README.md">
+# HuggingFace Smol-Agent Chatbot
+
+A simple chatbot implementation using HuggingFace's smol-agent.
+
+## Setup
+
+1. Clone this repository
+2. Create a `.env` file based on `.env.example`:
+   ```bash
+   cp .env.example .env
+   ```
+3. Add your HuggingFace API token to the `.env` file
+
+## Usage
+
+### Install dependencies
+
+```bash
+uv pip install .
+```
+
+### Run the CLI chatbot
+
+```bash
+python chatbot.py
+```
+
+### Run the API server
+
+```bash
+python api.py
+```
+
+The API will be available at http://localhost:8000
+
+## API Endpoints
+
+- **POST /chat**: Send a message to the chatbot
+  - Request: `{"message": "Hello, how are you?"}`
+  - Response: `{"response": "I'm doing well, thank you for asking!"}`
+
+- **GET /health**: Check if the API is running
+  - Response: `{"status": "ok"}`
+</file>
+
+<file path="chatbot.py">
+# /// script
+# dependencies = [
+#     "smolagents",
+# ]
+# ///
+from smolagents import CodeAgent, HfApiModel
+model_id = "meta-llama/Llama-3.3-70B-Instruct"
+
+
+# Managed Agent
+agent = CodeAgent(
+	tools=[], 
+    model=HfApiModel(model_id=model_id),
+    name="mychatbot",
+	description="A chatbot for various tasks",
+	verbosity_level=2,
+	max_steps=10,
+    add_base_tools=False,
+)
+</file>
+
+</files>

requirements.txt

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+smolagents>=1.18.0
+gradio>=4.0.0
+python-dotenv>=1.0.0
+smolagents[litellm]