#Hugging Face

Articles about Hugging Face — exploring patterns, best practices, and real-world implementations in production systems.

8 posts tagged with hugging face. ← All posts

#A2A (14)#ADK (8)#AG-UI (6)#AI (9)#AI Agents (303)#AI Architecture (10)#AI Cost (10)#AI Cost Optimization (8)#AI Engineering (160)#AI Governance (28)#AI Red Teaming (9)#AI Research (9)#AI Safety (6)#AI Security (21)#AI in Production (12)#AML (3)#API Design (10)#API Security (8)#APIs (47)#AWS (17)#Accounting (9)#Agent Skills (3)#Agentic AI (24)#Agentic Commerce (12)#Agentic RAG (8)#Agents (4)#Amazon Bedrock (8)#Architecture (36)#Audit (3)#Authentication (10)#Authorization (3)#Automation (6)#Azure (11)#Azure AI Foundry (9)#Backend Engineering (267)#BigQuery (6)#CI/CD (8)#Capital Markets (14)#Card Payments (12)#Cards (13)#Career (7)#Checkpointing (4)#Claude Code (8)#Cloud (3)#Cloud Architecture (3)#Code Review (8)#Collaboration (4)#Communication (4)#Compliance (51)#Computer Networking (8)#Concurrency (25)#Consulting (3)#Context Engineering (10)#Cost Optimisation (5)#Credit (14)#Credit Risk (14)#CrewAI (8)#Crypto (12)#Cryptocurrency (12)#Custody (9)#DSPy (8)#Data (4)#Data Engineering (4)#Data Structures (8)#Databases (33)#Deployment (3)#DevOps (9)#DevSecOps (11)#Developer Experience (5)#Distributed Systems (88)#Documentation (3)#Edge AI (8)#Embeddings (14)#Engineering (7)#Engineering Culture (3)#Engineering Practices (16)#Evaluation (44)#Event-Driven Architecture (8)#FREE-AI (8)#FX (5)#FinOps (23)#FinTech (6)#Financial AI (14)#Financial Systems (129)#Fine-Tuning (11)#Fintech (131)#Flutter (8)#Foreign Exchange (5)#Forward Deployed Engineer (8)#Forward Deployed Engineering (8)#Fraud (10)#Function Tools (5)#GCP (5)#Gemma (4)#Go (220)#Google ADK (36)#Governance (55)#Granite (6)#GraphQL (3)#Guardrails (24)#HIPAA (3)#HTTP (3)#Harness Engineering (8)#Hugging Face (8)#Human-in-the-Loop (8)#IBM watsonx (8)#Identity (11)#Integration (3)#Interfaces (3)#KYC (11)#KYC and AML (12)#Kafka (10)#Kubernetes (9)#LLM (5)#LLM Inference (8)#LLMs (110)#LangChain (8)#LangGraph (11)#Ledger (12)#Lending (14)#LlamaIndex (8)#MCP (22)#MLOps (30)#Machine Learning (13)#Markets (4)#Memory (13)#Memory Management (4)#Microservices (3)#Microsoft Agent Framework (150)#Middleware (6)#Migration (9)#Monitoring (3)#Multi-Agent (10)#Multi-Agent AI (14)#Multi-Agent Systems (70)#Multimodal (3)#NIM (5)#NVIDIA (8)#OAuth (3)#OWASP (7)#Observability (43)#On-Device AI (8)#Open Source (6)#OpenTelemetry (5)#Opinion (6)#Orchestration (10)#Payment Rails (16)#Payments (54)#Performance (29)#Platform Engineering (9)#Privacy (4)#Privacy Engineering (3)#Product (4)#Production (6)#Programming (10)#Programming Languages (16)#Prompt Engineering (64)#Prompt Injection (6)#Protocols (9)#Providers (4)#Pydantic AI (8)#Python (142)#Quality (3)#RAG (58)#RBI (3)#REST (5)#Rails (16)#Reconciliation (3)#RegTech (8)#Regulation (9)#Reliability (45)#Resilience (3)#Responsible AI (5)#Retrieval (3)#Risk (13)#Rust (16)#SRE (20)#Scalability (3)#Security (80)#Self-Evolving Agents (16)#Sessions (3)#Settlement (9)#Software Architecture (35)#Software Engineering (138)#Spanner (4)#Strands (8)#Streaming (25)#Structured Output (4)#System Design (32)#Systems Programming (16)#Testing (34)#Tool Use (21)#Tools (3)#Trading (8)#Treasury (6)#Type System (3)#Type Systems (3)#Vector Databases (21)#Vector Search (11)#Web Development (6)#Workflows (14)#gRPC (5)#smolagents (8)
Pratik Dhanave · ·5 min read

smolagents in Practice

smolagents is the right choice when you value a small library you can fully understand, the code-agent approach fits your task, and you can execute code safely. It's the wrong choice when you need a big ecosystem, can't sandbox, or your tasks are simple isolated calls. This closing post gives the honest verdict and places smolagents in the landscape.

smolagents is the right choice when you value a small library you can fully understand, the code-agent approach fits your task, and you can execute code safely — and the wrong choice when you need a big ecosystem, can't sandbox, or your tasks are simple isolated calls.

#smolagents#AI Agents#Hugging Face#AI Architecture
Pratik Dhanave · ·6 min read

The Agent Loop and Multi-Agent Systems

Underneath the code-agent magic is a simple, readable loop — the kind of loop smolagents's minimalism lets you actually understand. And when one agent isn't enough, the same minimal parts compose into multi-agent systems, where a manager agent's code calls other agents as if they were tools.

Underneath the code-agent magic is a simple, readable loop that smolagents's minimalism lets you actually understand. And when one agent isn't enough, the same parts compose into multi-agent systems, where a manager agent's code calls other agents like tools.

#smolagents#AI Agents#Multi-Agent Systems#Hugging Face
Pratik Dhanave · ·5 min read

Models

A code agent is only as good as the model writing the code — and smolagents, true to its Hugging Face roots and minimalist ethos, lets you run almost any model behind it: open models from the Hub, hosted APIs, local models, anything reachable through its integrations. Model choice matters especially here, because the model's code-writing ability is the agent's ability.

A code agent is only as good as the model writing the code — and smolagents lets you run almost any model: open models from the Hub, hosted APIs, local models. Model choice matters especially here, because the model's code-writing ability is the agent's ability.

#smolagents#AI Agents#LLMs#Hugging Face
Pratik Dhanave · ·5 min read

Tools

Even an agent that thinks in code needs tools — the functions its code calls to reach beyond itself. smolagents defines them the same minimal way it does everything: a decorated Python function. The twist is that in a code agent, tools are called from within code, which is what makes composing them so natural.

Even an agent that thinks in code needs tools — the functions its code calls. smolagents defines them the same minimal way (a decorated function), and the twist is that tools are called from within code, which is what makes composing them so natural.

#smolagents#AI Agents#Tool Use#Hugging Face
Pratik Dhanave · ·6 min read

Secure Code Execution

The power of code agents comes with a sharp edge: you are executing code written by an LLM, and an LLM can be wrong, or manipulated into writing something harmful. Running that code unsandboxed is one of the most dangerous things you can do in an application, so sandboxing isn't optional for code agents — it's the price of admission.

The power of code agents comes with a sharp edge: you are executing code written by an LLM, which can be wrong or manipulated. Running it unsandboxed is one of the most dangerous things you can do — so sandboxing is the price of admission.

#smolagents#AI Agents#Security#Hugging Face#LLMs
Pratik Dhanave · ·6 min read

Why Code Actions Win

The claim that agents should write code isn't just aesthetic — Hugging Face backs it with measured results: code agents take fewer steps, make fewer LLM calls, and score better on hard benchmarks. This post examines the evidence and the mechanism, so you understand not just that code actions win but why.

The claim that agents should write code isn't just aesthetic — Hugging Face backs it with measured results: code agents take fewer steps, make fewer LLM calls, and score better on hard benchmarks. This examines the evidence and the mechanism.

#smolagents#AI Agents#Performance#Hugging Face#LLMs#Evaluation
Pratik Dhanave · ·6 min read

Code Agents: Actions as Code

The single idea that defines smolagents is that an agent's action is a snippet of Python, not a JSON blob. It sounds like a minor encoding detail and turns out to change what an agent can do in a single step — because code carries logic, loops, variables, and composition that structured tool calls simply can't express.

The single idea that defines smolagents is that an agent's action is a snippet of Python, not a JSON blob. It sounds like an encoding detail and turns out to change what an agent can do in one step — because code carries logic, loops, and composition JSON can't.

#smolagents#AI Agents#Python#Hugging Face#Software Engineering
Pratik Dhanave · ·6 min read

What Is smolagents?

Most agent frameworks have the model call tools by emitting JSON. smolagents, Hugging Face's deliberately tiny library, makes the model write Python code instead — "agents that think in code." That one design choice, plus a ruthless commitment to minimalism, is what the whole library is about, and it turns out to matter more than it sounds.

Most agent frameworks have the model call tools by emitting JSON. smolagents, Hugging Face's deliberately tiny library, makes the model write Python code instead — 'agents that think in code.' That one choice, plus ruthless minimalism, is the whole library.

#smolagents#AI Agents#Python#Hugging Face#Software Engineering

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.