Tool calling
ai agents, AI tools, prompts, and Can AI methods for tool calling.
16 listings
Agents
Haystack
Open-source AI orchestration framework for production RAG pipelines and LLM agents.
LLM Agents
Minimal Python library for building tool-using agents controlled by language models
Mastra
TypeScript framework for building ai agents, workflows, and applications.
Model Context Protocol (MCP)
Open protocol for connecting AI applications with tools, data sources, and prompts.
OpenAI Agents SDK
Open-source SDK for building agents with tools, handoffs, guardrails, and tracing.
PydanticAI
Python framework for building typed ai agents with tools, structured outputs, and model integrations.
Qwen Agent
Open-source agent framework built on Qwen models with function calling, MCP, code interpreter, and RAG.
Smolagents
Open-source Python library for building and running model-agnostic agents with little code.
Tools
Arcade
MCP actions runtime that authenticates, executes, and governs agent tool calls.
Flowise AI
Open-source visual builder for multi-agent systems, chat assistants, and RAG.
Prompts
Agent Tool Router JSON
Choose the next agent tool call from a user goal and available schemas, returning arguments in JSON.
Clothing Search Tool Call JSON
Convert a clothing request into a product-search call with category, subcategory, and color arguments.
Parallel Tool-Call Policy Block
Add a system-prompt block defining when an agent should run independent tool calls in parallel.
Can AI?
Add a parallel tool-call policy to an agent system prompt
Route a user goal to the next agent tool call as JSON
Turn a shopping request into a product search JSON call
Related use cases
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- Agent workflows3
- LLM orchestration2
- Product search2
- No-code ai agents15
- Structured data extraction15
- Agent memory13
- Agent prototyping12
- Multi-agent orchestration12
- Agent observability11
- Structured outputs11
- Document question answering8
- AI guardrails7
- Human-in-the-loop agents6
- Application prototyping5
- Tool-using agents5
- TypeScript agent framework5
- Build MCP servers4
- Customer support agents4
- Multi-agent workflows4
- Agent handoffs3
- Agent tracing3
- AI application development3
- Custom chatbots3
- MCP servers3
- Voice assistants3
- Agent authentication2
- AI tool integration2
- Conversational assistants2
- Developer experiments2
- Embedded AI features2
- Enterprise agent governance2
- LLM experimentation2
- MCP tool governance2
- Production deployment2
- RAG knowledge assistants2
- Advanced RAG applications1
- Application interoperability1
- Code agents1
- Code execution1
- Code interpreter1
- Coding agents1
- Content generation pipelines1
- CRM and workspace actions1
- Data access1
- MCP production runtime1
- Multimodal automation1
- Production ai agents1
- Qwen-based assistants1
- Research workflows1
- Secure agent tool access1
- Tool-using applications1
- Tool-using workflows1
- TypeScript development1