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feat(anthropic): add adaptive thinking mode

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Extends reasoning_effort to accept 'adaptive' in addition to
low/medium/high. When set, uses Anthropic's type: 'adaptive'
thinking API instead of a fixed budget, letting the model decide
when and how much to think per turn.

Also auto-enables interleaved thinking between tool calls on
claude-sonnet-4-6 and claude-opus-4-6.

Usage:
  "reasoning_effort": "adaptive" in agents.defaults config
This commit is contained in:
Balor.LC3 2026-04-06 20:54:39 -07:00 committed by Xubin Ren
parent 423aab09dd
commit 1c2f4aba17
1 changed files with 8 additions and 2 deletions
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10
nanobot/providers/anthropic_provider.py
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@ -380,9 +380,15 @@ class AnthropicProvider(LLMProvider):
if system: if system:
kwargs["system"] = system kwargs["system"] = system
if thinking_enabled: if reasoning_effort == "adaptive":
# Adaptive thinking: model decides when and how much to think
# Supported on claude-sonnet-4-6 and claude-opus-4-6.
# Also auto-enables interleaved thinking between tool calls.
kwargs["thinking"] = {"type": "adaptive"}
kwargs["temperature"] = 1.0
elif thinking_enabled:
budget_map = {"low": 1024, "medium": 4096, "high": max(8192, max_tokens)} budget_map = {"low": 1024, "medium": 4096, "high": max(8192, max_tokens)}
budget = budget_map.get(reasoning_effort.lower(), 4096) # type: ignore[union-attr] budget = budget_map.get(reasoning_effort.lower(), 4096)
kwargs["thinking"] = {"type": "enabled", "budget_tokens": budget} kwargs["thinking"] = {"type": "enabled", "budget_tokens": budget}
kwargs["max_tokens"] = max(max_tokens, budget + 4096) kwargs["max_tokens"] = max(max_tokens, budget + 4096)
kwargs["temperature"] = 1.0 kwargs["temperature"] = 1.0