tanveer-arch

What an agent can do with the promptdrift corpus

tanveer-arch/promptdrift: Git-native CI regression testing and behavioral drift monitoring for LLM prompts

• Look up how promptdrift implements ai-testing, github-actions, llm, with answers cited to file and line.
• Reuse a worked example: the commit “add production capture and baseline evolution” (45 files · Python).
• Answer from promptdrift's real Python source instead of memory (AI, prompts and agents).

• Where does promptdrift handle “add production capture and baseline evolution”?
• How does promptdrift implement ai-testing?
• What does tests do in promptdrift?

Search the GitHub repository tanveer-arch/promptdrift with XERJ (https://hub.xerj.org/corpus/tanveer-arch--promptdrift).
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/tanveer-arch/promptdrift promptdrift && git -C promptdrift checkout da0ee6600d6ed52415cfe9169651e939c30bd337
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./promptdrift --url http://127.0.0.1:9200 --prefix promptdrift --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: MIT. Keep the copyright notice and credit the authors.

corpus tanveer-arch--promptdrift · AI, prompts and agents
Related corpora: giskard, cognita, mandoof1/agent-chat, MakazhanAlpamys/Soup
AI search and retrieval with XERJ · Case study: reference coding for agents