oclaw/openclaw/extensions/open-prose/skills/prose/examples/41-rlm-divide-conquer.prose
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2026-04-26 08:34:33 +08:00

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# RLM: Divide and Conquer
# Handle inputs 100x beyond context limits
input corpus: "Large corpus to analyze"
input query: "What to find or compute"
agent chunker:
model: haiku
prompt: "Split at semantic boundaries into 4-8 chunks."
agent analyzer:
model: sonnet
prompt: "Extract information relevant to the query."
agent synthesizer:
model: opus
prompt: "Combine partial results. Reconcile conflicts."
block process(data, depth):
if **data under 50k characters** or depth <= 0:
output session: analyzer
prompt: "{query}"
context: data
let chunks = session: chunker
prompt: "Split this corpus"
context: data
let partials = []
parallel for chunk in chunks:
let result = do process(chunk, depth - 1)
partials = partials + [result]
output session: synthesizer
prompt: "Synthesize for: {query}"
context: partials
output answer = do process(corpus, 4)