Composio vs promptfoo
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
SDK for building AI agents that can take actions in 1000+ apps via pre-authenticated tools.
Open source · MIT
CLI and library for testing LLM prompts and red-teaming AI apps, with declarative configs.
The short answer
Choose Composio if you need…
- Developers building AI agents that need to read or act in third-party apps
- Teams already using a supported agent framework such as OpenAI Agents, LangChain, or Vercel AI SDK
- Projects that want per-user scoping of app connections
- Developers who want to expose tools to MCP clients like Claude or Cursor
Choose promptfoo if you need…
- Developers building apps on top of LLM APIs who want repeatable prompt tests
- Teams comparing several models side by side on the same prompts
- People who want to run automated LLM checks in CI/CD pipelines
- Teams looking for a local, command-line way to scan LLM apps for security issues
Side-by-side
| Composio | promptfoo | |
|---|---|---|
| Type | Dev tool | Dev tool |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 30.9k | 26.7k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Install with a package manager | Install with a package manager |
| Platforms | — | CLI, Web |
| Works with | — | GitHub, OpenAI, Anthropic |
| Main language | TypeScript | TypeScript |
| Last code update | 4 days ago | 4 days ago |
What each one is
Composio
Composio is a TypeScript and Python SDK, plus a command-line tool, that lets AI agents use external apps on a user's behalf. It provides pre-authenticated toolkits for over 1000 apps, per-user sessions, authentication, triggers, and a sandbox. Developers use it to connect an agent framework to real services such as email.
promptfoo
Promptfoo is a command-line tool and library for evaluating LLM-based apps. You write a declarative config listing prompts, models, and test cases, then run it to compare outputs across providers such as OpenAI, Anthropic, and Ollama. It also includes red-teaming features that scan AI apps for security vulnerabilities.
Best for
Composio
- Developers building AI agents that need to read or act in third-party apps
- Teams already using a supported agent framework such as OpenAI Agents, LangChain, or Vercel AI SDK
- Projects that want per-user scoping of app connections
- Developers who want to expose tools to MCP clients like Claude or Cursor
promptfoo
- Developers building apps on top of LLM APIs who want repeatable prompt tests
- Teams comparing several models side by side on the same prompts
- People who want to run automated LLM checks in CI/CD pipelines
- Teams looking for a local, command-line way to scan LLM apps for security issues
Strengths
Composio
- Broad coverage: the README lists 1000+ toolkits and many provider adapters for common agent frameworks
- Sessions load meta tools at runtime instead of hundreds of tool definitions, per the README
- Available in both TypeScript and Python with an MIT license
promptfoo
- The README states that evals run locally and prompts never leave your machine
- Works with many providers and any LLM API, according to the README
- Has a large community with about 26,500 stars and an MIT license
Not ideal for
Composio
- Non-developers looking for a finished end-user app, since the README describes an SDK and CLI
- People who need a fully self-hosted setup, because the README's quickstart relies on a Composio API key and dashboard
- Projects needing a framework the README does not list as supported, which would require writing a custom provider
promptfoo
- People who want a no-code, point-and-click tool, since the workflow centers on the command line and config files
- Projects that do not call any LLM APIs, because there is nothing for it to evaluate
- Anyone who needs a guaranteed security audit, since the README describes scanning as a tool rather than a complete assurance
Trade-offs
Composio
- Depends on a Composio account and API key for the quickstart, so you rely on a hosted service
- The README is truncated and gives limited detail on sandbox, triggers, and pricing
- Some providers are experimental, such as the Pi provider in @composio/experimental
promptfoo
- The README says the project is now part of OpenAI, which may matter to some users evaluating independence
- Requires API keys for most providers, which means usage costs from those providers
- Some claims in the README, such as usage by OpenAI and Anthropic and serving 10M+ users, are not independently verified here
Getting started
Composio
Install TypeScript SDK with OpenAI Agents provider
npm install @composio/core @composio/openai-agents @openai/agentsInstall Python SDK with OpenAI Agents provider
pip install composio composio-openai-agents openai-agentspromptfoo
Install globally with npm
npm install -g promptfooCreate a starter example
promptfoo init --example getting-startedFrequently asked questions
What is the difference between Composio and promptfoo?
Composio: SDK for building AI agents that can take actions in 1000+ apps via pre-authenticated tools. promptfoo: CLI and library for testing LLM prompts and red-teaming AI apps, with declarative configs. Composio suits developers building ai agents that need to read or act in third-party apps, while promptfoo suits developers building apps on top of llm apis who want repeatable prompt tests.
Are Composio and promptfoo free?
Composio: Free and open source. promptfoo: Free and open source.
Is Composio or promptfoo more popular?
Composio has more GitHub stars (30.9k) than promptfoo (26.7k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Composio and promptfoo?
Other options people compare them with include LangChain, LlamaIndex, CrewAI, Botpress, Portkey AI Gateway.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.