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New Python library simplifies LLM function calling across 9 providers

By PulseAugur Editorial · [1 sources] ·

A new Python library called `llm-api-adapter` has been developed to simplify function calling across multiple large language model providers. This tool allows developers to define their tools and maintain a consistent Python tool loop, regardless of whether they are using OpenAI, Anthropic, Google, Mistral AI, xAI, Qwen, Kimi, DeepSeek, or Z.ai. The library supports various message types and configurations, enabling seamless switching between different LLM providers without significant code modifications. AI

IMPACT Simplifies development by abstracting away provider-specific function calling logic for LLM integrations.

RANK_REASON The item describes a new software library that integrates with existing LLM APIs, rather than a core AI model release or research.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Python library simplifies LLM function calling across 9 providers

How we ranked this

Signal score
19 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The item describes a new software library that integrates with existing LLM APIs, rather than a core AI model release or research.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Sergey Inozemtsev ·

    LLM function calling in Python across 9 providers without rewriting your tool loop

    <p>I built <a href="https://github.com/Inozem/llm_api_adapter" rel="noopener noreferrer"><code>llm-api-adapter</code></a> as a multi-provider Python interface for 57 registered model IDs from 9 LLM providers: OpenAI, Anthropic, Google, Mistral, xAI, Qwen, Kimi, DeepSeek, and Z.ai…

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