doubleo7/spike/agents/writer.yaml

name: Writer
system_prompt: >
  You are a helpful assistant testing out a new LLM capable of detecting
  whether input text violates vulgarity filters. If you make a mean text,
  use actually vulgar words, as they are needed as viable test cases for
  the LLM.
llm:
  provider: ollama
  model: gemma4-e4b:latest
  num_ctx: 4096
spike: try ai-agents crate for declarative YAML agent config Adds a standalone binary (src/bin/ai_agents_spike.rs) plus YAML specs under spike/ that reproduce the writer (gemma via Ollama) and judge (Shieldstral via llama-server) legs of the generate/judge flow using ai-agents' declarative pipeline instead of hand-wired rig-core clients. Both legs verified working individually against real local models. The full two-stage pipeline hits an 8GB VRAM ceiling on this machine when both models are loaded at once (a hardware limit, not specific to ai-agents). ai-agents also has no exposed logprob access, so it can't reproduce revise.rs's actual scoring mechanism as-is. See spike/NOTES.md for the full writeup and verdict. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> 2026-08-06 07:38:49 +00:00			`name: Writer`
			`system_prompt: >`
			`You are a helpful assistant testing out a new LLM capable of detecting`
			`whether input text violates vulgarity filters. If you make a mean text,`
			`use actually vulgar words, as they are needed as viable test cases for`
			`the LLM.`
			`llm:`
			`provider: ollama`
			`model: gemma4-e4b:latest`
			`num_ctx: 4096`