RRepoGEO

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

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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.

OVERALL DIRECTION
  • highreadme#1
    Reposition 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#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/xusenlinzy/api-for-open-llm
  • lowtopics#3
    Expand repository topics to include more general API and serving terms

    Why:

    CURRENT
    baichuan, chatglm, code-llama, docker, internlm, langchain, llama, llama2, llms, nlp, openai, qwen, sqlcoder, xverse
    COPY-PASTE FIX
    baichuan, 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.

Recall
0 / 2
0% of queries surface xusenlinzy/api-for-open-llm
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ollama/ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ollama/ollama · recommended 1×
  2. BerriAI/litellm · recommended 1×
  3. vllm-project/vllm · recommended 1×
  4. mudler/LocalAI · recommended 1×
  5. open-webui/open-webui · recommended 1×
  • CATEGORY QUERY
    How can I interact with various open-source LLMs using an OpenAI-compatible API?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LiteLLM (BerriAI/litellm)
    3. vLLM (vllm-project/vllm)
    4. LocalAI (mudler/LocalAI)
    5. Open WebUI (open-webui/open-webui)
    6. 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 QUERY
    What is the best way to unify access to different open large language models?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. Ollama
    3. LangChain
    4. LlamaIndex
    5. Hugging Face Transformers Library
    6. OpenRouter
    7. 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 completeness
    warn

    Suggestion:

  • README presence
    pass

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?
    pass
    AI 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?
    pass
    AI 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?
    pass
    AI 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

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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