A LiteLLM alternative without self-hosting: when to use OpenAny

If your goal is to build an agent, operating a gateway may be unnecessary work. OpenAny can provide hosted access to supported models and data APIs while you keep the application and orchestration you already understand.

This is an alternative to running your own LiteLLM proxy, not a claim that LiteLLM lacks hosted options or that OpenAny reproduces its entire control plane.

Identify what you wanted the proxy to solve

Requirement	Could hosted OpenAny access fit?
One account for supported models and API resources	Yes, inspect catalog coverage and shared-balance scope
A compatible inference endpoint	Check the exact route and protocol
Avoid gateway servers, upgrades and monitoring	Yes for the hosted gateway layer, not your application
Preserve custom fallback graphs or organization-wide policy	Requires separate verification; not assumed equivalent
Private network placement or contractual residency	Requires explicit confirmation before migration

LiteLLM's documentation covers more than basic inference, including MCP and agent integrations. Inventory what you actually use rather than replacing a rich deployment with a single Base URL and discovering missing behavior later.

The small application path

For a server-side application using a compatible Chat Completions route, an OpenAI SDK can point at OpenAny. The example below matches the reviewed Qwen Chat Completions template. It is a code sample, not a request executed for this article.

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["OPENANY_API_KEY"],
    base_url="https://api.openany.si/v1",
)

# Running this sends a potentially billable request. Obtain budget approval first.
result = client.chat.completions.create(
    model="qwen3.7-max",
    messages=[{"role": "user", "content": "Summarize this public project brief."}],
    max_tokens=128,
)
print(result.choices[0].message.content)

Keep the key on the server, never in a browser bundle or public repository. Set an output cap, but do not treat it as a complete dollar limit: prompt size, reasoning behavior, route conditions and additional calls still matter.

If your application uses Responses or Anthropic Messages, inspect that protocol separately. Do not change only the model name in this sample and assume the transport remains suitable. Native coding clients have additional requirements; see Codex configuration.

A migration that can be reversed

1. Save the current provider settings and identify every model alias and custom request parameter.
2. Select one OpenAny route and compare its request/response schema with the existing call.
3. Confirm tool behavior, streaming, usage reporting, timeouts and error semantics.
4. With a small approved budget, test in staging and inspect the actual charged route.
5. Move a limited workload only after acceptance, while keeping a documented rollback path.

Do not delete the old proxy or contracts until the migration has proved itself. Do not silently introduce automatic fallback or retries: those can create new requests and charges. An error is not permission to send the same private content to another provider.

Why OpenAny is especially useful for agents

A model-only application may need little more than inference. A research agent often needs fresh search results, repository data or business information as well. OpenAny's model and API catalog can reduce the number of access and payment integrations you build for those resources.

The calls remain distinct. Your agent must discover the data contract, retrieve evidence under its budget, and then pass appropriate context to the model. No universal schema, hosted bot runtime or automatic orchestration is implied.

Compare total cost, including operations

For a self-operated proxy, include hosting, upgrades, monitoring, incidents and engineering time alongside upstream token invoices. For OpenAny, include the published model/API rates and any funding fees that apply. A free software license and a low token price answer different questions.

Explore OpenAny's current catalog before migrating. If you require deep custom policies or network control, keeping LiteLLM may be the right decision. If you mainly need resources and a shared balance, OpenAny deserves the first pilot.

Use with your Agent

Prepare an inventory and reversible change proposal, not a live migration.

Read https://openany.si/AGENT.md and follow its setup and credential-safety instructions.

Task: Evaluate moving A small research application using model inference and public web-data APIs from a self-operated LiteLLM proxy or a planned proxy to hosted OpenAny access. Inspect only user-approved application files and configuration, never secrets. Inventory protocols, model aliases, tools, custom routing, logging, budget policies, data residency and upstream contracts. Check current OpenAny public route templates and preserve exact request semantics; do not infer Responses support from Chat Completions. Return a minimal proposed migration, non-portable features, separate cost categories, rollback and an approval-gated acceptance plan. Keep keys server side using authorized environment configuration. Do not edit files, deploy, install software, switch live traffic, send paid requests or top up.

Guide: https://openany.si/guides/hosted-litellm-alternative-openany/
Ask for a budget and approval before billable requests. Never request credentials in chat. Do not substitute providers or execute other actions without approval. Preserve sources and timestamps; report missing data and actual results honestly.

Read the broader gateway comparison and USDC funding guide for the operational and payment choices.

Sources

• LiteLLM SDK, gateway and integration documentation
• OpenAny agent instructions
• OpenAny public model route templates