Data and RAG · AI agent
Code Interpreter API: review, pricing, security and alternatives
Code Interpreter API is an open-source AI agent published by shroominic, in the data and rag family. Code Interpreter API combines LangChain with sandboxed Python execution to analyze datasets and process files from user requests. Its repository has 3,844 stars and its last commit is from November 7, 2024.
What Code Interpreter API does
Code Interpreter API belongs to the data and rag family: agents that query databases and company documents to answer questions or produce analyses. On our grid it ranks #15 of the 15 projects of this family listed in the directory.
You use it from: developer SDK. Usable models: GPT (OpenAI). It can run on your own machine or server.
Who is Code Interpreter API for?
It is for teams that want an AI to answer from their own documents or databases. Typical tasks people give it:
- query internal documentation in plain language
- ask a database questions without SQL
- index and summarise large file collections
It is a good candidate if your data must stay on your machines.
Access and human control
According to its documentation, Code Interpreter API can:
- read and edit files
- call online services and APIs
We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.
Code Interpreter API pricing
The code is free, under the MIT licence.
Getting started with Code Interpreter API
- Install it: the project ships as a Python package (install with
piporuv). The exact command is in the repository README. - Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
- Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
- Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.
Security: risk level
Give it read-only access and check generated queries before any data change.
Points found for Code Interpreter API:
- Outside content: it reads web pages or API responses, which may contain booby-trapped instructions (prompt injection).
- Maintenance: no commit for 24 months, flaws are no longer fixed.
Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.
Project activity and releases
Created on July 10, 2023, the shroominic/codeinterpreter-api repository has 3,844 stars, 385 forks and 66 open issues, with 310 commits in total. Last change 24 months ago.
Over the last 52 weeks: 0 commits, an average of 0 per week.
10 releases in total; 0 in the last twelve months. Latest release: v0.1.20, on November 7, 2024.
Code Interpreter API vs other data and rag
GitHub stars of the best-rated open-source projects in the data and rag family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.
Code Interpreter API and other data and rag at a glance
The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.
| Agent | Model | Score | Stars or entry price | Self-hostable | Human approval |
|---|---|---|---|---|---|
| Code Interpreter API | open source | 39 | 3.8K ★ | yes | – |
| RAGFlow | open source | 91 | 92.8K ★ | yes | – |
| LlamaIndex | open source | 85 | 52.6K ★ | yes | – |
| MaxKB | open source | 83 | 23K ★ | yes | – |
| PageIndex | open source | 79 | 39.6K ★ | yes | – |
| txtai | open source | 78 | 13K ★ | yes | – |
| WeKnora | open source | 76 | 35.3K ★ | yes | – |
| Yuxi | open source | 69 | 7.5K ★ | yes | – |
How we rated it
Score: 39/100, computed only from public, verifiable data, with no subjective testing or partnership:
- Adoption 19/40: 3,844 stars on a log scale (40 points from about 200,000).
- Activity 0/30: last commit 24 months ago, 0 releases in six months, 0 commits in a year.
- Framework 20/30: licence, default human approval, self-hosting, model choice and documentation site.
The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.
Verdict
Code Interpreter API is a project to watch: compare it with the alternatives before adopting it.
Strengths
- Can run on your side: data under control
- Permissive licence (MIT)
Limitations
- No commit for 24 months
- Tied to a single model provider (GPT (OpenAI))
Avoid if…
- Production use without reviewing the code
Alternatives
Learn more
Frequently asked questions
Is Code Interpreter API free?
The software is free (MIT licence). You still pay for the model calls, unless you use a local model.
Is Code Interpreter API safe?
Our risk level: mid. Points found: outside content and maintenance. Give it minimum rights and approve irreversible actions.
Which models does Code Interpreter API use?
According to its documentation: GPT (OpenAI).
Can Code Interpreter API be installed on your own server?
Yes, from the shroominic/codeinterpreter-api repository. Data then stays with you, but security and updates are your job.
What are the alternatives to Code Interpreter API?
In the same family: RAGFlow, LlamaIndex, MaxKB, and PageIndex.
Code Interpreter API or RAGFlow: what is the difference?
Both belong to the data and rag family. Code Interpreter API has 3.8K stars against 92.8K for RAGFlow. The right choice mostly depends on the access you are willing to give it.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score