Rashmeet Chhabra

What an agent can do with the little-canary corpus

hermes-labs-ai/little-canary: Detects prompt injection by its effect on a sacrificial canary model, not just pattern matching: untrusted input hits a powerless model…

• Look up how little-canary implements ai-safety, detection, prompt-injection, with answers cited to file and line.
• Reuse a worked example: the commit “Add FastAPI and LangChain integration examples” (3 files · Python).
• Answer from little-canary's real Python source instead of memory (AI, prompts and agents).

• Where does little-canary handle “Add FastAPI and LangChain integration examples”?
• How does little-canary implement ai-safety?
• What does examples do in little-canary?

Search the GitHub repository hermes-labs-ai/little-canary with XERJ (https://hub.xerj.org/corpus/hermes-labs-ai--little-canary).
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/hermes-labs-ai/little-canary little-canary && git -C little-canary checkout 6038b1011bef8b9fbe065b714df45c6deff5fc82
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./little-canary --url http://127.0.0.1:9200 --prefix little-canary --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.

corpus hermes-labs-ai--little-canary · AI, prompts and agents
Related corpora: agno, splunk-security-content, saintparish4/openscript, Actenon/actenon-scan
AI search and retrieval with XERJ · Case study: reference coding for agents