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chore: import upstream snapshot with attribution
2026-07-13 13:12:26 +08:00

34 lines
1.5 KiB
Go

package openai
import (
"github.com/mudler/LocalAI/core/config"
"github.com/mudler/LocalAI/pkg/reasoning"
)
// applyPipelineThinking forces the LLM's reasoning/thinking off when the realtime
// pipeline sets disable_thinking, mapping to the enable_thinking=false backend
// metadata via ReasoningConfig.DisableReasoning. The LLM config passed in is the
// per-session copy returned by the config loader, so this does not affect other
// users of the same model. When the pipeline does not set disable_thinking the
// LLM config is left untouched.
func applyPipelineThinking(llm *config.ModelConfig, pipeline config.Pipeline) {
if llm == nil || !pipeline.ThinkingDisabled() {
return
}
disable := true
llm.ReasoningConfig.DisableReasoning = &disable
}
// spokenReasoningConfig adapts a model's reasoning config for stripping reasoning
// OUT of realtime spoken output. ReasoningConfig.DisableReasoning is overloaded:
// the backend reads it as the "enable_thinking=false" hint (which pipeline
// disable_thinking sets via applyPipelineThinking), but the reasoning extractor
// reads it as "skip stripping, assume there is no reasoning". Honouring the latter
// when extracting for speech would leak raw <think>…</think> whenever the model
// ignores the suppression hint. Spoken output must never contain reasoning, so we
// always strip: clear DisableReasoning while keeping custom tokens/tag pairs.
func spokenReasoningConfig(cfg reasoning.Config) reasoning.Config {
cfg.DisableReasoning = nil
return cfg
}