Skill

Proxy OpenAI/Anthropic APIs to GigaChat

Runs a compatibility proxy mapping OpenAI and Anthropic API requests to GigaChat without client rewrites.

Works with openaianthropic

91
Spark score
out of 100
Updated 2 months ago
Source checked Aug 18, 2026
Version 1.0.0

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Why it matters

Seamlessly migrate your applications from OpenAI or Anthropic APIs to GigaChat without requiring any code modifications. This asset acts as a direct proxy, ensuring compatibility and simplifying your transition to a new AI platform.

Outcomes

What it gets done

01

Map OpenAI API calls to GigaChat endpoints.

02

Proxy Anthropic API requests to GigaChat.

03

Enable code-free migration between AI models.

04

Maintain existing application logic during platform transition.

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/gpt2giga | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

GPT2Giga Proxy

Runs and configures the gpt2giga proxy, mapping OpenAI and Anthropic API requests to GigaChat so an existing compatible client can switch backends without rewriting its integration. Use it for compatibility, migration, or proxy-deployment tasks plugging GigaChat into an existing OpenAI- or Anthropic-compatible app; not for a new native GigaChat app.

What it does

Runs and configures the gpt2giga proxy, which maps OpenAI API and Anthropic Messages API requests to GigaChat so an existing OpenAI-compatible or Anthropic-compatible client can talk to GigaChat without rewriting its integration. Covers local or Docker startup, .env and CLI configuration, both compatible endpoint families, proxy auth kept separate from GigaChat auth (or pass-token mode when the client should carry its own GigaChat credentials), streaming and model-routing behavior, and production hardening - enabling proxy API-key auth and avoiding dev-only endpoints once live.

When to use - and when NOT to

Use it for compatibility, migration, or proxy-deployment tasks: plugging GigaChat into an app that already speaks OpenAI or Anthropic, without touching the client's SDK integration. It treats itself explicitly as a compatibility layer, not the default choice for a new, native GigaChat app - and it doesn't teach raw GigaChat SDK usage, which belongs to a separate gigachat-sdk-* skill.

Inputs and outputs

Input: an existing OpenAI- or Anthropic-compatible client needing to reach GigaChat, plus a deployment target (local, Docker, or production). Output: a running proxy pointed at by the client's existing base URL, with proxy auth configured, and an explicit statement of which API family - OpenAI or Anthropic - is being preserved and where behavior diverges from the native API, since outer orchestration still owns full multi-step tool execution.

Integrations

References references/config.md for env vars, ports, auth, and startup, and references/compatibility.md for endpoint compatibility and client behavior. Complements a separate gigachat-sdk-* skill for direct GigaChat SDK usage.

Who it's for

Developers who need to point an existing OpenAI- or Anthropic-compatible application at GigaChat without rewriting its client integration.

FAQ

Common questions

Discussion

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