llm
PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and has been in the index since 28 Jun 2026. How this is checked
LLM is an open-source CLI tool and Python library that enables developers to interact with large language models from OpenAI, Anthropic, Google, Meta, and others. It supports running prompts, managing responses, generating embeddings, and extracting content from text and images, both via remote APIs and local models.
Inferred · not functionally tested
Overview
5 featuresPurpose: Allows developers to interact with and manage prompts for various large language models from the command line or Python.
Inferred · not functionally tested
Audience: developers and data scientists
Inferred · not functionally tested
Functions: code_generation, rag, data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI, WEB · deployment: browser, cli, api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: datasette.io · github.com. These links do not verify the individual claims.
llm is a CLI tools & terminal project. Inferred · not functionally tested: It allows developers to interact with and manage prompts for various large language models from the command line or Python. Inferred · not functionally tested: It is built as an open-source project for developers and data scientists. Basis unknown · not verified: llm is open source under the Apache-2.0 license. Basis unknown · not verified: llm is available on the web, the command line, and API, and it can be self-hosted.
Behind llm is Simon Willison, and it first shipped in 2018. The project is developed in the open on GitHub with 2.1k stars and 14 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include prompt management, embeddings generation, and image extraction. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Prompt management
- Embeddings generation
- Image extraction
- SQLite storage
- Plugin support
Topics: Inferred · not functionally tested
Built with & integrations
- fly
- fly-request-id header
- openai
- bgpt- in the HTML
- anthropic
- bclaude- in the HTML
- local_oss
- bollama in the HTML
- meta_llama
- llama- in the HTML
- google_gemini
- bgemini- in the HTML
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about llm
- What does llm do?
- Inferred · not functionally tested: Llm allows developers to interact with and manage prompts for various large language models from the command line or Python. It is catalogued under CLI tools & terminal on PulseGate.
- Who should use llm?
- Inferred · not functionally tested: llm is an open-source project built for developers and data scientists.
- Is llm free?
- Basis unknown · not verified: Yes — llm is open source under the Apache-2.0 license and free to use.
- What platforms does llm run on?
- Basis unknown · not verified: llm runs on the web, the command line, and API. It can also be self-hosted.
- Is llm still maintained?
- PulseGate's liveness check found it on 13 Sep 2026. Its GitHub repository shows 14 commits in the last 90 days.
- What projects are similar to llm?
- Similar projects tracked by PulseGate include llm, LLM Engine, and llmexer.llmLLM Enginellmexer
- Who develops llm?
- llm is developed by Simon Willison.
- How long has llm been around?
- llm first shipped in 2018.
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