LLM Orchestration

Agent LLM

Multi-provider, multi-model chat/image API for developers.

Status
Not yet determined
Last checked
Unverified
License
Open source
Pricing
Free tier · from $0

What it is

Agent LLM is a flexible and simple API that supports multiple language models from different providers. It allows users to interact with these models through both text and image APIs by consuming configurations defined in agent.yaml.

Agent LLM stands out as a self-hosted, multi-provider solution offering both chat and image APIs, making it ideal for developers who want flexibility in model choice and deployment.

When it fits — and when it doesn’t

A good fit for

  • Teams that need flexibility in choosing between multiple language model providers

  • Projects requiring both text and image API capabilities from a single tool

  • Developers who prefer self-hosting their AI services for better control over data

Look elsewhere if

  • Users looking for a fully managed cloud service without the need to host their own infrastructure

  • Teams that require real-time streaming capabilities not supported by this API

Known weaknesses

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

  1. 01

    Limited language support outside JavaScript/Python ecosystems

    Primary SDKs are in JavaScript and Python, with no official support for other languages like Go or Rust

  2. 02

    Documentation lacks depth and examples

    Official documentation is sparse on advanced use cases and troubleshooting guides

  3. 03

    Performance bottlenecks with large-scale usage

    High latency observed in API responses when handling more than 50 concurrent requests

What it does well

  • Supports multiple language models from different providers

  • Simple chat and image API endpoints

  • Configuration through agent.yaml file

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 Agent LLM

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

Open the setup guide →
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Agent LLM — tracked on AI Navigator

Markdown

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