Module: Legion::LLM::Inference::EnrichmentInjector
- Extended by:
- Legion::Logging::Helper
- Defined in:
- lib/legion/llm/inference/enrichment_injector.rb
Class Method Summary collapse
- .format_history_message(message) ⇒ Object
- .inject(system:, enrichments:) ⇒ Object
- .resolve_baseline ⇒ Object
Class Method Details
.format_history_message(message) ⇒ Object
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# File 'lib/legion/llm/inference/enrichment_injector.rb', line 63 def () return .to_s unless .is_a?(Hash) role = [:role] || ['role'] || 'unknown' content = [:content] || ['content'] content = content.filter_map { |part| part.is_a?(Hash) ? part[:text] || part['text'] : part.to_s }.join if content.is_a?(Array) "[#{role}] #{content}" end |
.inject(system:, enrichments:) ⇒ Object
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# File 'lib/legion/llm/inference/enrichment_injector.rb', line 13 def inject(system:, enrichments:) parts = [] # Settings-driven baseline (universal foundation, overridable via config) baseline = resolve_baseline parts << baseline if baseline # GAIA system prompt (highest priority enrichment) if (gaia = enrichments.dig('gaia:system_prompt', :content)) parts << gaia end # Prior conversation history loaded by the context step. if (history = enrichments['context:conversation_history']) history_text = Array(history).map { |msg| (msg) }.reject(&:empty?).join("\n") parts << "Prior conversation history:\n#{history_text}" unless history_text.empty? end # RAG context if (rag = enrichments.dig('rag:context_retrieval', :data, :entries)) context_text = rag.map { |e| "[#{e[:content_type]}] #{e[:content]}" }.join("\n") parts << "Relevant context:\n#{context_text}" unless context_text.empty? end # Skill injection — active skill's step output appended after the RAG context if (skill = enrichments['skill:active']) parts << skill end # Tool call history — BEFORE the empty-parts guard so it reaches the LLM # even when no other enrichments are present if (history_block = enrichments.dig('tool:call_history', :content)) parts << history_block end return system if parts.empty? parts << system if system log.info("[llm][pipeline] enrichments_injected parts=#{parts.size} baseline=#{!baseline.nil?} system_present=#{!system.nil?}") parts.join("\n\n") end |
.resolve_baseline ⇒ Object
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# File 'lib/legion/llm/inference/enrichment_injector.rb', line 55 def resolve_baseline value = Legion::LLM::Settings.value(:system_baseline) value.is_a?(String) && !value.strip.empty? ? value : nil rescue StandardError => e handle_exception(e, level: :warn, operation: 'llm.pipeline.enrichment_injector.resolve_baseline') nil end |