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CLAUDE.md: 178→25 lines — commands + @ARCHITECTURE.md import only Rules split into .claude/rules/ (load at startup, topic-scoped): llm-inference.md — Bifrost-only, semaphore, model name format, timeouts agent-pipeline.md — tier rules, no tools in medium, memory outside loop fast-tools.md — extension guide (path-scoped: fast_tools.py + agent.py) secrets.md — .env keys, Vaultwarden, no hardcoding Path-scoped rule: fast-tools.md only loads when editing fast_tools.py or agent.py Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
21 lines
1.2 KiB
Markdown
21 lines
1.2 KiB
Markdown
# Agent Pipeline Rules
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## Tiers
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- Complex tier requires `/think ` prefix. Any LLM classification of "complex" is downgraded to medium. Do not change this.
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- Medium is the default tier. Light is only for trivial static-knowledge queries matched by regex or LLM.
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- Light tier upgrade to medium is automatic when URL content is pre-fetched or a fast tool matches.
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## Medium agent
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- `_DirectModel` makes a single `ainvoke()` call with no tool schema. Do not add tools to the medium agent.
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- `qwen3:4b` behaves unreliably when a tool array is present in the request — inject context via system prompt instead.
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## Memory
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- `add_memory` and `search_memory` are called directly in `run_agent_task()`, outside the agent loop.
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- Never add memory tools to any agent's tool list.
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- Memory storage (`_store_memory`) runs as an asyncio background task after the semaphore is released.
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## Fast tools
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- `FastToolRunner.run_matching()` runs in the pre-flight `asyncio.gather` alongside URL fetch and memory retrieval.
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- Fast tool results are injected as a system prompt block, not returned to the user directly.
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- When `any_matches()` is true, the router forces medium tier before LLM classification.
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