QueryCraft is an open-source framework by Rakuten Technology for crafting, debugging, and optimizing AI agent prompts. It offers a modular prompt pipeline, integrates with popular LLM APIs, and provides built-in evaluation metrics for response quality, token usage, and cost tracking. Developers can simulate agent workflows, compare prompt variations, and iterate quickly to enhance performance and reduce operational expenses.
AI Platforms & Frameworks
Coding Assistance
Tool Libraries
#AI Agents
#Prompt Engineering
#Python Tools
#LLM Integration
#Automated evaluations
#cost tracking
#debugging tools
#workflow visualization
#Performance Benchmarking
#modular pipelines
#data-driven development
#token usage metrics
#Collaboration Tools
#rapid iteration
#custom metrics
#efficient AI solutions
#development optimization
#API connections
#Prompt Testing
#cost-effective strategies
...
Promote this Tool
Update this Tool
QueryCraft
QueryCraft is an open-source framework by Rakuten Technology for crafting, debugging, and optimizing AI agent prompts. It offers a modular prompt pipeline, integrates with popular LLM APIs, and provides built-in evaluation metrics for response quality, token usage, and cost tracking. Developers can simulate agent workflows, compare prompt variations, and iterate quickly to enhance performance and reduce operational expenses.
AI Platforms & Frameworks
Coding Assistance
Tool Libraries
#AI Agents
#Prompt Engineering
#Python Tools
#LLM Integration
#Automated evaluations
#cost tracking
#debugging tools
#workflow visualization
#Performance Benchmarking
#modular pipelines
#data-driven development
#token usage metrics
#Collaboration Tools
#rapid iteration
#custom metrics
#efficient AI solutions
#development optimization
#API connections
#Prompt Testing
#cost-effective strategies
...
Featured
What is QueryCraft?
QueryCraft is a Python-based prompt engineering toolkit designed to streamline the development of AI agents. It enables users to define structured prompts through a modular pipeline, connect seamlessly to multiple LLM APIs, and conduct automated evaluations against custom metrics. With built-in logging of token usage and costs, developers can measure performance, compare prompt variations, and identify inefficiencies. QueryCraft also includes debugging tools to inspect model outputs, visualize workflow steps, and benchmark across different models. Its CLI and SDK interfaces allow integration into CI/CD pipelines, supporting rapid iteration and collaboration. By providing a comprehensive environment for prompt design, testing, and optimization, QueryCraft helps teams deliver more accurate, efficient, and cost-effective AI agent solutions.
Who will use QueryCraft?
- AI developers
- Prompt engineers
- Data scientists
- Research teams
- ML engineers
How to use the QueryCraft?
- Step1: Install QueryCraft via pip: pip install querycraft
- Step2: Configure API keys for desired LLM providers
- Step3: Define prompt modules and pipelines using the QueryCraft SDK or YAML
- Step4: Set up evaluation metrics for response quality and cost
- Step5: Execute queries and collect results with the CLI or Python code
- Step6: Analyze results, compare prompt variations, and refine prompts iteratively
Platform
- mac
- windows
- linux
QueryCraft's Core Features & Benefits
The Core Features
- Modular prompt pipeline design
- Multi-LLM API integration
- Built-in evaluation metrics
- Token usage and cost tracking
- Response debugging and visualization
- CLI and Python SDK interfaces
- Workflow benchmarking
- Custom metric support
The Benefits
- Accelerated prompt iteration
- Improved agent performance
- Reduced development costs
- Seamless LLM integration
- Enhanced collaboration
- Data-driven optimization
QueryCraft's Main Use Cases & Applications
- Prompt engineering and optimization
- LLM performance benchmarking
- Cost-efficient AI agent development
- Automated response quality evaluation
- Workflow debugging and visualization
FAQs of QueryCraft
QueryCraft Company Information
- Rakuten Technology
QueryCraft Reviews
5/5
QueryCraft's Main Competitors and alternatives?
- LangChain
- PromptLayer
- LangSmith
- LlamaIndex
- Promptable
You may also like:
AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
AI-driven chatbot for top OnlyFans creators.
Aixbt is a tokenized AI Agent optimizing revenue across applications.
theGist AI Workspace unifies work apps with AI for improved productivity.
Generate brand visuals and copy using AI to boost e-commerce sales.
GPTConsole is an AI agent designed for streamlined conversation and task automation.
GenSphere is an AI agent that automates data analysis and provides insights for informed decision-making.
Nullify automates the entire AppSec program for security teams using AI-driven solutions.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Langbase is an AI agent that generates and analyzes natural language content efficiently.
AiTerm: AI Terminal Assistant converting natural language to commands.
Generate intriguing facts effortlessly with our AI-powered tool.
Automate your job applications and find the perfect job with AI technology.
Intellika AI enables seamless automation of data analysis and reporting for businesses.
ScholarRoll helps students find and apply for scholarships easily.
OneReach AI simplifies interactions by automating customer engagement through intelligent messaging.
Phoenix AI Assistant helps streamline tasks using intelligent automation and personalized support.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Edusign simplifies digital attendance and document signatures.
OLI is a browser-based AI agent framework enabling users to orchestrate OpenAI functions and automate multi-step tasks seamlessly.
Simulate conversations with people who have anxiety, receive feedback, and improve your support skills.
Maige automates GitHub workflows with AI for seamless issue and PR management.
Rehance offers an AI copilot to enhance SaaS platforms with automated productivity tools.
SWE-1 is an AI-powered coding assistant designed to speed up software development.
Generate BI reports from your competitors’ Google Maps reviews to understand customer sentiment.
Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
AIHelp provides AI-powered customer support and in-app messaging solutions.
Kadoa is an AI agent that enhances customer support and engagement through personalized interactions.
Aide is an AI agent designed to streamline workflows and enhance productivity.
Transform your customer communications with AI-powered calls seamlessly using Regal AI Agent Platform.
Batai Assistant automates customer service with innovative voice models for seamless conversations.
Jupid is an AI agent designed to enhance productivity through automated assistance in various tasks.
aiXplain offers AI-driven model creation for diverse applications effortlessly.
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
A Python-based framework implementing flocking algorithms for multi-agent simulation, enabling AI agents to coordinate and navigate dynamically.
All-in-one AI video creation studio that turns any text and images into full videos up to 30 minutes.
An open-source framework enabling autonomous LLM agents with retrieval-augmented generation, vector database support, tool integration, and customizable workflows.
An AI agent template showing automated task planning, memory management, and tool execution via OpenAI API.
Pipe Pilot is a Python framework that orchestrates LLM-driven agent pipelines, enabling complex multi-step AI workflows with ease.
Open-source repository providing practical code recipes to build AI agents leveraging Google Gemini's reasoning and tool usage capabilities.
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
An open-source framework implementing cooperative multi-agent reinforcement learning for autonomous driving coordination in simulation.
Python library with Flet-based interactive chat UI for building LLM agents, featuring tool execution and memory support.
Agentic Workflow is a Python framework to design, orchestrate, and manage multi-agent AI workflows for complex automated tasks.
A GitHub demo showcasing SmolAgents, a lightweight Python framework for orchestrating LLM-powered multi-agent workflows with tool integration.
A Python framework for easily defining and executing AI agent workflows declaratively using YAML-like specifications.
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
A Pythonic framework implementing the Model Context Protocol to build and run AI agent servers with custom tools.
pyafai is a Python modular framework to build, train, and run autonomous AI agents with plug-in memory and tool support.
LangGraph enables Python developers to construct and orchestrate custom AI agent workflows using modular graph-based pipelines.
A Python wrapper enabling seamless Anthropic Claude API calls through existing OpenAI Python SDK interfaces.
Agent Adapters provides pluggable middleware to integrate LLM-based agents with various external frameworks and tools seamlessly.
Java-Action-Storage is a LightJason module that logs, stores, and retrieves agent actions for distributed multi-agent applications.
LinkAgent orchestrates multiple language models, retrieval systems, and external tools to automate complex AI-driven workflows.