Automated implementation via the implement pipeline - #110
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Ken Chau (kenotron-ms) wants to merge 3 commits into
Open
Automated implementation via the implement pipeline#110Ken Chau (kenotron-ms) wants to merge 3 commits into
Ken Chau (kenotron-ms) wants to merge 3 commits into
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added 3 commits
September 1, 2026 21:47
Register claude-fable-5-1 in _RATES with Anthropic's published pricing: - Input: $10.00/MTok (same as Fable 5) - Output: $50.00/MTok (same as Fable 5) - Cache read: $0.25/MTok (75% cheaper than Fable 5's $1.00/MTok) - Cache write: $12.50/MTok (same as Fable 5; 5-minute TTL rate) - 1h cache write: $20.00/MTok (2x input rate, via existing TTL-split path) Fable 5.1 uses the same capabilities as Fable 5 (family='fable'), so _detect_family, _detect_version, and _get_capabilities already handle it correctly through the existing 'fable' branch. No new capability logic needed. Sources: - https://www.anthropic.com/claude-fable-and-mythos-5-1 - https://docs.anthropic.com/en/docs/models/overview Research facts (item 1): a. API model identifier: claude-fable-5-1 b. Context window: not explicitly stated on docs page (same 1M context as Fable 5, per supports_1m=True already in the fable branch) c. Max output tokens: 128,000 (same as Fable 5, per the fable branch) d. New/changed parameters: none; same adaptive thinking API as Fable 5 DTU validation (item 4 -- executed in Resolve worker environment): Request: messages.create(model='claude-fable-5-1', max_tokens=128, messages=[{'role':'user','content':'Say hello in exactly 3 words.'}]) Response: model=claude-fable-5-1, content='Hello there, friend!', input_tokens=21, output_tokens=10, stop_reason=end_turn Exit: 0 (success) Tests: 26 new tests in tests/test_fable51.py, all passing. Full suite: 781 passed (uv run pytest --tb=short -q)
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Automated contribution via the implement pipeline.
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