chitu
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability
What XERJ indexed
Selected work
“Support `response_format` in OpenAI-compatible API”. 13 files, 1,348 lines in test, chitu.
Licence
The repository
Checked by a person at the pinned commit.
The XERJ corpus
The author agreed by email on 2026-10-20. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
deepseekgpullmpytorchllm-servingmodel-serving
Example questions
- How does chitu implement deepseek?
- Where does chitu handle “Support `response_format` in OpenAI-compatible API”?
- What does chitu do in chitu?
The prompt
Paste it into your AI agent. It clones thu-pacman/chitu at the pinned commit and indexes it on your machine.
Search the GitHub repository thu-pacman/chitu with XERJ (https://hub.xerj.org/corpus/thu-pacman--chitu). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/thu-pacman/chitu chitu && git -C chitu checkout 14b050ed9e9ad345f95390f58043dbbde2ff0e5a 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./chitu --url http://127.0.0.1:9200 --prefix chitu --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: Apache-2.0. Keep the copyright notice and credit the authors.
Related
Shizhi TangAI, prompts and agents corporagriptapeflagembeddinghaystackvllm-project/vllmpegainfer-project/pegainferbojieli/ai-infra-book
Selected work and consent: the XERJ registry.