Business · npm

llmist

TypeScript LLM client with streaming tool execution. Tools fire mid-stream. Built-in function calling works with any model—no structured outputs or native tool support required.

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Details

GitHub profile
@zbigniewsobiecki
Category
Business
Platform
npm
GitHub
git+https://github.com/zbigniewsobiecki/llmist.git
Framework
openai
Language
javascript
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@zbigniewsobiecki

Overview

TypeScript LLM client with streaming tool execution. Tools fire mid-stream. Built-in function calling works with any model—no structured outputs or native tool support required.

Quick start

npm

npm install llmist

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llmist can do

agentllmchatfunction-callingai
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Chat — Holds free-form conversations with users.
  • Function Calling — function-calling task automation.
  • Ai — ai task automation.

Frequently asked questions

What is llmist?
TypeScript LLM client with streaming tool execution. Tools fire mid-stream. Built-in function calling works with any model—no structured outputs or native tool support required.
How do I install llmist?
Use npm: `npm install llmist`. Full setup details on the source page linked above.
Is llmist open source?
llmist is published on npm.
What are alternatives to llmist?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for llmist is sourced from npm.

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