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refactor: Extract thinking tokens and reasoning effort methods into separate functions

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Paul Gauthier (aider) 2025-03-11 12:09:41 -07:00
parent e21bab2d17
commit 79f714ab16
2 changed files with 38 additions and 26 deletions
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31
aider/coders/base_coder.py
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@ -209,34 +209,13 @@ class Coder:
output = f"{prefix}: {main_model.name} with {self.edit_format} edit format"
# Check for thinking token budget
if (
main_model.extra_params
and "thinking" in main_model.extra_params
and "budget_tokens" in main_model.extra_params["thinking"]
):
budget = main_model.extra_params["thinking"]["budget_tokens"]
# Format as xx.yK for thousands, xx.yM for millions
if budget >= 1024 * 1024:
value = budget / (1024 * 1024)
if value == int(value):
formatted_budget = f"{int(value)}M"
else:
formatted_budget = f"{value:.1f}M"
else:
value = budget / 1024
if value == int(value):
formatted_budget = f"{int(value)}k"
else:
formatted_budget = f"{value:.1f}k"
output += f", {formatted_budget} think tokens"
thinking_tokens = self.get_thinking_tokens(main_model)
if thinking_tokens:
output += f", {thinking_tokens} think tokens"
# Check for reasoning effort
if (
main_model.extra_params
and "extra_body" in main_model.extra_params
and "reasoning_effort" in main_model.extra_params["extra_body"]
):
reasoning_effort = main_model.extra_params["extra_body"]["reasoning_effort"]
reasoning_effort = self.get_reasoning_effort(main_model)
if reasoning_effort:
output += f", reasoning {reasoning_effort}"
if self.add_cache_headers or main_model.caches_by_default: