LLM Providers

llm-polyglot

Universal LLM client with adapters for various providers using the OpenAI SDK interface.

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

llm-polyglot is a universal language model client that provides adapters for different LLM providers, allowing developers to use these models through a consistent OpenAI-like interface. This tool transforms responses from various providers into a uniform format, simplifying integration and usage.

llm-polyglot stands out by offering a universal interface to interact with various language models, providing consistency and ease of integration across different providers.

When it fits — and when it doesn’t

A good fit for

  • Developers who need to switch between multiple LLM providers without changing their codebase.

  • Projects that require consistent response formats across different language models.

  • Teams working on applications where the choice of LLM provider can be easily swapped.

Look elsewhere if

  • Scenarios requiring real-time streaming capabilities from LLMs, as llm-polyglot is designed for batch processing.

  • Projects with strict budget constraints that cannot afford the costs associated with using multiple LLM providers.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Steep learning curve for non-JavaScript developers

    API relies heavily on JavaScript-specific patterns and idioms, which may be unfamiliar to developers from other language backgrounds.

  2. 02

    Frequent breaking changes between versions

    v0.1 to v0.2 migration required significant updates to existing codebases due to API refactoring and removal of deprecated methods.

  3. 03

    Limited language support beyond JavaScript/TypeScript

    Primary development is in JavaScript, with TypeScript SDK being community-maintained. Lack of official support for other languages makes integration difficult outside the JS ecosystem.

  4. 04

    Performance overhead due to uniform response transformation

    The process of transforming responses from various providers into a consistent format can introduce latency and additional computational load, especially under high throughput scenarios.

What it does well

  • Adapters for various LLM providers using a uniform OpenAI SDK interface.

  • Transforms responses from different providers into a consistent format.

  • Simplifies integration and usage of multiple language models.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up llm-polyglot

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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