Tools tagged with "Structured output"

smol developer is a Python coding agent with a self-hosted API for generating codebases from product specifications. It's for developers prototyping applications or adding code generation to their own software. Its default generation workflow uses GPT-4 through the OpenAI Python SDK, whose standard API endpoint sends model requests to OpenAI’s cloud. Self-hosting controls the agent server, while this standard model connection remains remote.

Vercel AI SDK is a free TypeScript library for developers building apps and agents that use local models through Ollama or LM Studio. It runs within your application; those backends run the models. Its default model route uses Vercel AI Gateway, which sends requests to a cloud service, while the documented local integrations connect to your own model server.

spaCy is a Python library for developers and data scientists who need to extract structured information from text in their own applications. It runs on macOS, Windows and Linux, with model packages that become part of your application. It's free and open source under the MIT license.

Guardrails AI is an open-source Python validation framework that runs inside your application or as a self-hosted service. It's for developers who need to check LLM inputs and responses before their apps use them. It provides a validation layer around model interactions; it doesn't supply local model inference.

Blades is an AI agent framework for Go developers building conversational applications and automated workflows. It lets developers combine model connections, application tools and conversation memory within their own software.

ContextGem is a Python framework for developers extracting structured information from documents such as contracts, invoices and reports. You describe what you need in natural language, and it handles extraction prompts and data modelling for text and image content.

OllamaSharp is a C# library for developers building .NET applications with Ollama. It gives those applications access to chat, embeddings and model management through the Ollama API.

TradingAgents is an open-source Python framework for researchers and developers studying AI trading decisions. It assigns market analysis and risk assessment to separate LLM agents, then combines their findings into a proposed trade for a simulated exchange.

NVIDIA NeMo Data Designer is a Python framework for developers and data teams creating synthetic datasets with controlled variation and relationships between fields. It can start with an empty dataset or build on your own seed data. The framework is open source under Apache 2.0.

Aiursoft Ollama Gateway gives teams controlled access to shared local LLM servers. It connects AI applications and coding assistants to Ollama or OpenAI-compatible backends through a central gateway.

Rig is a Rust library for developers building AI agents and LLM applications. It provides a shared interface across model providers and vector stores for applications that need to work with different backends.

Jsonformer is a Python library for developers who need structured JSON from language models running through Hugging Face Transformers. It controls the JSON structure while the model supplies the values, reducing reliance on prompts that ask a model to produce correctly formatted output.

Kiln is a desktop workbench for teams building and testing AI applications. Engineers, QA staff and subject matter experts can work with the same tasks and datasets, including contributing ratings and examples without writing code.

llama.rn is a library for developers adding local LLM features to React Native apps on iOS and Android. It brings llama.cpp inference onto the device, so an app can process model requests on the user's hardware.

Open Paper is a research workspace for people reading papers and conducting literature reviews. It combines a PDF reader, annotations, and an AI assistant so you can examine answers alongside the papers they draw on.

Agno is a framework and runtime for developers building customer-facing or internal AI agents. It combines agent development, service hosting and a web interface for managing runs on infrastructure you control.

CamoFox Browser is a self-hosted browser server for developers whose AI agents need to interact with sites that detect browser automation. It builds on Camoufox, a Firefox fork with browser fingerprint spoofing, to reduce detection by systems such as Cloudflare and Google's bot checks.

Sonar serves language and multimodal models for developers and teams running AI applications on their own hardware. It builds on vLLM and works with Hugging Face-compatible models.

TensorRT-LLM is an inference library for developers serving LLMs on their own NVIDIA GPUs. It supports application-level inference and server deployments, with performance optimizations for workloads spread across one or several machines.

llama.cpp is a local LLM inference engine for developers building AI applications or running models on hardware they control. It supports language and vision-language models, with command-line tools and a server API for using the engine directly or connecting other software.

GROBID turns scientific and technical PDFs into structured TEI XML on your own machine or server. It's for researchers and developers who need article metadata, full text and bibliographical references for search, analysis or document collections. The software is open source under Apache 2.0.

Graphiti is a Python framework for developers building AI agents that need to remember information as it changes. It turns conversations, structured records and unstructured text into a queryable graph with a history of facts.

PaddleOCR is an OCR and document parsing toolkit for developers turning PDFs and images into data for document search, RAG systems and AI agents. Its local models cover both structured pages and text found in photographs.

MLX Omni Server lets developers use local models through both OpenAI-compatible and Anthropic-compatible APIs on an Apple Silicon Mac. It's for applications built around those SDKs that need inference on hardware the developer controls. Apple's MLX framework provides hardware acceleration, and all AI processing stays on the Mac.

Marketing Studio is a local rendering engine with a Claude Code plugin for developers and product teams creating launch materials from an app repository. It keeps generated media and review records alongside the product's code.

Curator is a Python library for developers building LLM training datasets or extracting structured records from existing data. It supports pipelines that generate data in stages and process many model requests.

OpenVINO Model Server is a self-hosted inference server for developers and teams serving AI models on their own machines or servers. It uses OpenVINO to run workloads on x86 CPUs, including Xeon, with acceleration for Intel integrated and discrete GPUs and NPUs. It's open source under Apache 2.0.

Distilabel is a Python framework for engineers building synthetic datasets and model-generated feedback with local LLM backends such as Ollama, llama.cpp and Hugging Face Transformers. It also connects to cloud services, including OpenAI and Anthropic; requests through those integrations go to the remote provider. Where inference runs depends on the backend you choose.

Atomic Agent is a local AI agent for people who want an assistant to work with their browser, files and code on their own hardware. Its model and task loop can run offline, while sessions and memory stay on disk. It's free and open source under the MIT license.

wigolo gives AI agents web access from a server on your own machine. It's for developers who want coding assistants or self-hosted agents to gather web evidence and reuse what they've already fetched.

ThunderAI is an AI email assistant for Thunderbird users who want help writing messages and managing their inbox. You can process email text with a local model or send it to a cloud provider.

Florence-2 is Microsoft's vision model for developers building applications that describe images, extract text or locate objects on their own hardware. One model handles several image tasks selected through text prompts.

KADATH is a self-hosted AI agent runtime for developers and researchers comparing agents against a measurable goal. It runs successive generations of agents and selects stronger approaches, but model calls require OpenAI's cloud API, an API key and internet access.

Neo4j LLM Graph Builder converts documents and web content into knowledge graphs for people building searchable collections or AI applications with Neo4j. It uses an LLM to identify entities, relationships, and their properties.