c5c25c8b49
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>
10 lines
328 B
YAML
10 lines
328 B
YAML
name: Writer
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system_prompt: >
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You are a helpful assistant testing out a new LLM capable of detecting
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whether input text violates vulgarity filters. If you make a mean text,
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use actually vulgar words, as they are needed as viable test cases for
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the LLM.
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llm:
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provider: ollama
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model: gemma4-e4b:latest
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num_ctx: 4096
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