Big-AGI is an open-source workspace for using multiple AI models through chat and other AI functions. It is intended for engineers, founders, researchers, and other users who want to work with AI personas, model comparisons, image generation, voice, documents, and code-related features. The catalogue entries provide commands, instructions, and a skill for working with Big-AGI.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/enricoros/big-AGIWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/enricoros/big-agi/sync-openai-apis)<a href="https://agentmods.dev/commands/enricoros/big-agi/sync-openai-apis"><img src="https://agentmods.dev/badge/commands/enricoros/big-agi/sync-openai-apis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/enricoros/big-agi/sync-openai-apis"><img src="https://agentmods.dev/badge/commands/enricoros/big-agi/sync-openai-apis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00009 | $0.00607 |
| Opus 5 | $0.00005 | $0.00303 |
| Sonnet 5 | $0.00002 | $0.00121 |
| Haiku 4.5 | $0.00001 | $0.00061 |
Grade A, and why
sync-openai-apis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Please take a look at my API code for OpenAI: message wire types src/modules/aix/server/dispatch/wiretypes/openai.wiretypes.ts, assembly of the request messages (adapters) src/modules/aix/server/dispatch/chatGenerate/adapters/openai.chatCompletions.ts, and parsing of the response in streaming or not src/modules/aix/server/dispatch/chatGenerate/parsers/openai.parser.ts.
IMPORTANT: we prioritize the new Responses API, while Chat Completions is still supported but legacy. We do NOT support other APIs such as Realtime (incl. websockets), etc. We also do not support Agentic APIs (Agent SDK, AgentKit, ChatKit, Assistants API etc), as we perform similar functionality in AIX (server or client side).
Then take a look at the newest API information available. Try these sources, and be creative if some are blocked:
Primary Sources:
- Responses API (AIX prioritizes it): https://platform.openai.com/docs/api-reference/responses/create
- Chat Completions API: https://platform.openai.com/docs/api-reference/chat/create
- Changelog: https://platform.openai.com/docs/changelog
- Models: https://platform.openai.com/docs/models
- Pricing (use Copy Page button to download markdown): https://platform.openai.com/docs/pricing
Alternative Sources if primary blocked:
- OpenAI Node.js SDK: https://github.com/openai/openai-node
- OpenAI Python SDK: https://github.com/openai/openai-python
- OpenAI OpenAPI spec: https://github.com/openai/openai-openapi Recent news and announcements: Web Search for "openai api changelog" or "openai new models" or "openai new prices"
If all blocked: Explain what you attempted and ask user to provide documentation manually.
Live endpoint (extra signal): If .env.api-keys has OPENAI_API_KEY, fire a real streaming request and inspect the raw SSE - ground-truth for new fields, event types, response shapes, and error formats that docs lag: POST https://api.openai.com/v1/responses (or legacy /v1/chat/completions), "stream":true. Never commit or echo the key.
$ARGUMENTS Check carefully and look if there are any discrepancies in the protocols, the available API surface, the structure of the messages, functionality, logic, etc. Make sure you look deep in the fields of the requests and responses, especially required fields, streaming event types, and any new response shapes.
Please point out all of the differences in the API whether it's in the final parsing and reassembly of the streaming message, or the protocol changed, etc. Prioritize breaking changes and new capabilities that would improve the user experience.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 36 lines · 9 tokens per session scan A e55c2aeb0b55
sync-openai-apis is a command published in the GitHub repository enricoros/big-AGI (7,118 stars, last pushed today), licensed MIT. It adds 9 tokens to every session and 607 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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