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safikhanΒ
updated
a
dataset
2 days ago
tahirjmΒ
updated
a
model
3 days ago
safikhanΒ
published
a
dataset
4 days ago
superb indic translater
1
#11 opened 5 days ago
by
subbur
albertvillanovaΒ
posted
an
update
9 days ago
Post
1463
π SmolAgents v1.19.0 is live!
This release brings major improvements to agent flexibility, UI usability, streaming architecture, and developer experience: making it easier than ever to build smart, interactive AI agents. Here's what's new:
π§ Agent Upgrades
- Support for managed agents in ToolCallingAgent
- Context manager support for cleaner agent lifecycle handling
- Output formatting now uses XML tags for consistency
π₯οΈ UI Enhancements
- GradioUI now supports reset_agent_memory: perfect for fresh starts in dev & demos.
π Streaming Refactor
- Streaming event aggregation moved off the Model class
- β‘οΈ Better architecture & maintainability
π¦ Output Tracking
- CodeAgent outputs are now stored in ActionStep
- β More visibility and structure to agent decisions
π Bug Fixes
- Smarter planning logic
- Cleaner Docker logs
- Better prompt formatting for additional_args
- Safer internal functions and final answer matching
π Docs Improvements
- Added quickstart examples with tool usage
- One-click Colab launch buttons
- Expanded reference docs (AgentMemory, GradioUI docstrings)
- Fixed broken links and migrated to .md format
π Full release notes:
https://github.com/huggingface/smolagents/releases/tag/v1.19.0
π¬ Try it out, explore the new features, and let us know what you build!
#smolagents #opensource #AIagents #LLM #HuggingFace
This release brings major improvements to agent flexibility, UI usability, streaming architecture, and developer experience: making it easier than ever to build smart, interactive AI agents. Here's what's new:
π§ Agent Upgrades
- Support for managed agents in ToolCallingAgent
- Context manager support for cleaner agent lifecycle handling
- Output formatting now uses XML tags for consistency
π₯οΈ UI Enhancements
- GradioUI now supports reset_agent_memory: perfect for fresh starts in dev & demos.
π Streaming Refactor
- Streaming event aggregation moved off the Model class
- β‘οΈ Better architecture & maintainability
π¦ Output Tracking
- CodeAgent outputs are now stored in ActionStep
- β More visibility and structure to agent decisions
π Bug Fixes
- Smarter planning logic
- Cleaner Docker logs
- Better prompt formatting for additional_args
- Safer internal functions and final answer matching
π Docs Improvements
- Added quickstart examples with tool usage
- One-click Colab launch buttons
- Expanded reference docs (AgentMemory, GradioUI docstrings)
- Fixed broken links and migrated to .md format
π Full release notes:
https://github.com/huggingface/smolagents/releases/tag/v1.19.0
π¬ Try it out, explore the new features, and let us know what you build!
#smolagents #opensource #AIagents #LLM #HuggingFace
language supports
1
#1 opened 3 months ago
by
nickfuryavg
Multi-Gpu Inference
1
#2 opened 3 months ago
by
munikumar
AshwinSankarΒ
updated
a
Space
15 days ago
psidharth567Β
authored
a
paper
20 days ago
Hindi dataset?
6
#4 opened about 1 month ago
by
adarshxs
prasanjithΒ
updated
a
dataset
26 days ago
albertvillanovaΒ
posted
an
update
about 1 month ago
Post
629
New in smolagents v1.17.0:
- Structured generation in CodeAgent π§±
- Streamable HTTP MCP support π
- Agent.run() returns rich RunResult π¦
Smarter agents, smoother workflows.
Try it now: https://github.com/huggingface/smolagents/releases/tag/v1.17.0
- Structured generation in CodeAgent π§±
- Streamable HTTP MCP support π
- Agent.run() returns rich RunResult π¦
Smarter agents, smoother workflows.
Try it now: https://github.com/huggingface/smolagents/releases/tag/v1.17.0
albertvillanovaΒ
posted
an
update
about 2 months ago
Post
2486
New in smolagents v1.16.0:
π Bing support in WebSearchTool
π Custom functions & executor_kwargs in LocalPythonExecutor
π§ Streaming GradioUI fixes
π Local web agents via api_base & api_key
π Better docs
π https://github.com/huggingface/smolagents/releases/tag/v1.16.0
π Bing support in WebSearchTool
π Custom functions & executor_kwargs in LocalPythonExecutor
π§ Streaming GradioUI fixes
π Local web agents via api_base & api_key
π Better docs
π https://github.com/huggingface/smolagents/releases/tag/v1.16.0
albertvillanovaΒ
posted
an
update
2 months ago
Post
2787
smolagents v1.14.0 is out! π
π MCPClient: A sleek new client for connecting to remote MCP servers, making integrations more flexible and scalable.
πͺ¨ Amazon Bedrock: Native support for Bedrock-hosted models.
SmolAgents is now more powerful, flexible, and enterprise-ready. πΌ
Full release π https://github.com/huggingface/smolagents/releases/tag/v1.14.0
#smolagents #LLM #AgenticAI
π MCPClient: A sleek new client for connecting to remote MCP servers, making integrations more flexible and scalable.
πͺ¨ Amazon Bedrock: Native support for Bedrock-hosted models.
SmolAgents is now more powerful, flexible, and enterprise-ready. πΌ
Full release π https://github.com/huggingface/smolagents/releases/tag/v1.14.0
#smolagents #LLM #AgenticAI
albertvillanovaΒ
posted
an
update
4 months ago
Post
4134
π New smolagents update: Safer Local Python Execution! π¦Ύπ
With the latest release, we've added security checks to the local Python interpreter: every evaluation is now analyzed for dangerous builtins, modules, and functions. π
Here's why this matters & what you need to know! π§΅π
1οΈβ£ Why is local execution risky? β οΈ
AI agents that run arbitrary Python code can unintentionally (or maliciously) access system files, run unsafe commands, or exfiltrate data.
2οΈβ£ New Safety Layer in smolagents π‘οΈ
We now inspect every return value during execution:
β Allowed: Safe built-in types (e.g., numbers, strings, lists)
β Blocked: Dangerous functions/modules (e.g., os.system, subprocess, exec, shutil)
3οΈβ£ Immediate Benefits π‘
- Prevent agents from accessing unsafe builtins
- Block unauthorized file or network access
- Reduce accidental security vulnerabilities
4οΈβ£ Security Disclaimer β οΈ
π¨ Despite these improvements, local Python execution is NEVER 100% safe. π¨
If you need true isolation, use a remote sandboxed executor like Docker or E2B.
5οΈβ£ The Best Practice: Use Sandboxed Execution π
For production-grade AI agents, we strongly recommend running code in a Docker or E2B sandbox to ensure complete isolation.
6οΈβ£ Upgrade Now & Stay Safe! π
Check out the latest smolagents release and start building safer AI agents today.
π https://github.com/huggingface/smolagents
What security measures do you take when running AI-generated code? Letβs discuss! π
#AI #smolagents #Python #Security
With the latest release, we've added security checks to the local Python interpreter: every evaluation is now analyzed for dangerous builtins, modules, and functions. π
Here's why this matters & what you need to know! π§΅π
1οΈβ£ Why is local execution risky? β οΈ
AI agents that run arbitrary Python code can unintentionally (or maliciously) access system files, run unsafe commands, or exfiltrate data.
2οΈβ£ New Safety Layer in smolagents π‘οΈ
We now inspect every return value during execution:
β Allowed: Safe built-in types (e.g., numbers, strings, lists)
β Blocked: Dangerous functions/modules (e.g., os.system, subprocess, exec, shutil)
3οΈβ£ Immediate Benefits π‘
- Prevent agents from accessing unsafe builtins
- Block unauthorized file or network access
- Reduce accidental security vulnerabilities
4οΈβ£ Security Disclaimer β οΈ
π¨ Despite these improvements, local Python execution is NEVER 100% safe. π¨
If you need true isolation, use a remote sandboxed executor like Docker or E2B.
5οΈβ£ The Best Practice: Use Sandboxed Execution π
For production-grade AI agents, we strongly recommend running code in a Docker or E2B sandbox to ensure complete isolation.
6οΈβ£ Upgrade Now & Stay Safe! π
Check out the latest smolagents release and start building safer AI agents today.
π https://github.com/huggingface/smolagents
What security measures do you take when running AI-generated code? Letβs discuss! π
#AI #smolagents #Python #Security
- 2 replies
albertvillanovaΒ
posted
an
update
4 months ago
Post
4040
π Big news for AI agents! With the latest release of smolagents, you can now securely execute Python code in sandboxed Docker or E2B environments. π¦Ύπ
Here's why this is a game-changer for agent-based systems: π§΅π
1οΈβ£ Security First π
Running AI agents in unrestricted Python environments is risky! With sandboxing, your agents are isolated, preventing unintended file access, network abuse, or system modifications.
2οΈβ£ Deterministic & Reproducible Runs π¦
By running agents in containerized environments, you ensure that every execution happens in a controlled and predictable settingβno more environment mismatches or dependency issues!
3οΈβ£ Resource Control & Limits π¦
Docker and E2B allow you to enforce CPU, memory, and execution time limits, so rogue or inefficient agents donβt spiral out of control.
4οΈβ£ Safer Code Execution in Production π
Deploy AI agents confidently, knowing that any generated code runs in an ephemeral, isolated environment, protecting your host machine and infrastructure.
5οΈβ£ Easy to Integrate π οΈ
With smolagents, you can simply configure your agent to use Docker or E2B as its execution backendβno need for complex security setups!
6οΈβ£ Perfect for Autonomous AI Agents π€
If your AI agents generate and execute code dynamically, this is a must-have to avoid security pitfalls while enabling advanced automation.
β‘ Get started now: https://github.com/huggingface/smolagents
What will you build with smolagents? Let us know! ππ‘
Here's why this is a game-changer for agent-based systems: π§΅π
1οΈβ£ Security First π
Running AI agents in unrestricted Python environments is risky! With sandboxing, your agents are isolated, preventing unintended file access, network abuse, or system modifications.
2οΈβ£ Deterministic & Reproducible Runs π¦
By running agents in containerized environments, you ensure that every execution happens in a controlled and predictable settingβno more environment mismatches or dependency issues!
3οΈβ£ Resource Control & Limits π¦
Docker and E2B allow you to enforce CPU, memory, and execution time limits, so rogue or inefficient agents donβt spiral out of control.
4οΈβ£ Safer Code Execution in Production π
Deploy AI agents confidently, knowing that any generated code runs in an ephemeral, isolated environment, protecting your host machine and infrastructure.
5οΈβ£ Easy to Integrate π οΈ
With smolagents, you can simply configure your agent to use Docker or E2B as its execution backendβno need for complex security setups!
6οΈβ£ Perfect for Autonomous AI Agents π€
If your AI agents generate and execute code dynamically, this is a must-have to avoid security pitfalls while enabling advanced automation.
β‘ Get started now: https://github.com/huggingface/smolagents
What will you build with smolagents? Let us know! ππ‘