REPOGEO REPORT · LITE
xusenlinzy/api-for-open-llm
Default branch master · commit 1410ac39 · scanned 5/27/2026, 6:12:05 AM
GitHub: 2,460 stars · 275 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface xusenlinzy/api-for-open-llm, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition the core value proposition to the top of the README
Why:
CURRENT# API for Open LLMs <p align="center"> <a href="https://github.com/xusenlinzy/api-for-open-llm"></a> <a href=""></a> <a href=""></a> <a href="https://github.com/xusenlinzy/api-for-open-llm"></a> <a href="https://github.com/xusenlinzy/api-for-open-llm"></a> <a href="https://github.com/xusenlinzy/api-for-open-llm"></a> <a href="https://github.com/xusenlinzy/api-for-open-llm"></a> </p> <div align="center"> 图片来自于论文: A Survey of Large Language Models </div> ## 📢 新闻COPY-PASTE FIX# API for Open LLMs This project provides a unified, OpenAI-compatible API for various open-source large language models, allowing you to interact with them just like ChatGPT. 此项目为开源大模型的推理实现统一的后端接口,与 `OpenAI` 的响应保持一致,让您像使用 ChatGPT 一样调用各类开源大模型。 <p align="center"> <a href="https://github.com/xusenlinzy/api-for-open-llm"></a> <a href=""></a> <a href=""></a> <a href="https://github.com/xusenlinzy/api-for-open-llm"></a> <a href="https://github.com/xusenlinzy/api-for-open-llm"></a> <a href="https://github.com/xusenlinzy/api-for-open-llm"></a> <a href="https://github.com/xusenlinzy/api-for-open-llm"></a> </p> <div align="center"> 图片来自于论文: A Survey of Large Language Models </div> ## 📢 新闻 - mediumhomepage#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://github.com/xusenlinzy/api-for-open-llm
- lowtopics#3Expand repository topics to include more general API and serving terms
Why:
CURRENTbaichuan, chatglm, code-llama, docker, internlm, langchain, llama, llama2, llms, nlp, openai, qwen, sqlcoder, xverse
COPY-PASTE FIXbaichuan, chatglm, code-llama, docker, internlm, langchain, llama, llama2, llms, nlp, openai, qwen, sqlcoder, xverse, llm-api, openai-api-compatible, model-serving, inference-api
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- ollama/ollama · recommended 1×
- BerriAI/litellm · recommended 1×
- vllm-project/vllm · recommended 1×
- mudler/LocalAI · recommended 1×
- open-webui/open-webui · recommended 1×
- CATEGORY QUERYHow can I interact with various open-source LLMs using an OpenAI-compatible API?you: not recommendedAI recommended (in order):
- Ollama (ollama/ollama)
- LiteLLM (BerriAI/litellm)
- vLLM (vllm-project/vllm)
- LocalAI (mudler/LocalAI)
- Open WebUI (open-webui/open-webui)
- FastChat (lm-sys/FastChat)
AI recommended 6 alternatives but never named xusenlinzy/api-for-open-llm. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat is the best way to unify access to different open large language models?you: not recommendedAI recommended (in order):
- LiteLLM
- Ollama
- LangChain
- LlamaIndex
- Hugging Face Transformers Library
- OpenRouter
- vLLM
AI recommended 7 alternatives but never named xusenlinzy/api-for-open-llm. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of xusenlinzy/api-for-open-llm?passAI named xusenlinzy/api-for-open-llm explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts xusenlinzy/api-for-open-llm in production, what risks or prerequisites should they evaluate first?passAI named xusenlinzy/api-for-open-llm explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo xusenlinzy/api-for-open-llm solve, and who is the primary audience?passAI named xusenlinzy/api-for-open-llm explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of xusenlinzy/api-for-open-llm. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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xusenlinzy/api-for-open-llm — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite