Module: Legion::Extensions::Apollo::Runners::Gas
- Extended by:
- Helpers::Lex, JSON::Helper, Logging::Helper
- Includes:
- Helpers::Lex, JSON::Helper, Logging::Helper
- Defined in:
- lib/legion/extensions/apollo/runners/gas.rb
Constant Summary collapse
- RELATION_TYPES =
%w[ similar_to contradicts depends_on causes part_of supersedes supports_by extends ].freeze
- RELATE_CONFIDENCE_GATE =
0.7- SYNTHESIS_CONFIDENCE_CAP =
0.7- MAX_ANTICIPATIONS =
3
Class Method Summary collapse
- .build_synthesis_entry(item, facts) ⇒ Object
- .classify_relation(fact, entry) ⇒ Object
- .fallback_confidence ⇒ Object
- .fallback_relation(fact, entry) ⇒ Object
- .fetch_similar_entries(facts) ⇒ Object
- .geometric_mean(values) ⇒ Object
- .json_load(str) ⇒ Object
- .llm_anticipate(facts) ⇒ Object
- .llm_available? ⇒ Boolean
- .llm_classify_relation(fact, entry) ⇒ Object
- .llm_comprehend(messages, response) ⇒ Object
- .llm_synthesize(facts) ⇒ Object
- .max_anticipations ⇒ Object
- .mechanical_comprehend(_messages, response) ⇒ Object
-
.phase_anticipate(facts, _synthesis) ⇒ Object
Phase 6: Anticipate - pre-cache likely follow-up questions.
-
.phase_comprehend(audit_event) ⇒ Object
Phase 1: Comprehend - extract typed facts from the exchange.
-
.phase_deposit(facts, _entities, _relations, _synthesis, audit_event) ⇒ Object
Phase 5: Deposit - atomic write to Apollo.
-
.phase_extract(audit_event, _facts) ⇒ Object
Phase 2: Extract - entity extraction (delegates to existing EntityExtractor).
-
.phase_relate(facts, _entities) ⇒ Object
Phase 3: Relate - classify relationships between new and existing entries.
-
.phase_synthesize(facts, _relations) ⇒ Object
Phase 4: Synthesize - generate derivative knowledge.
- .process(audit_event) ⇒ Object
- .processable?(event) ⇒ Boolean
- .promote_to_pattern_store(question:, facts:) ⇒ Object
- .relate_confidence_gate ⇒ Object
- .similar_entries_limit ⇒ Object
- .synthesis_confidence_cap ⇒ Object
Class Method Details
.build_synthesis_entry(item, facts) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 315 def build_synthesis_entry(item, facts) source_indices = item[:source_indices] || item['source_indices'] || [] source_confs = source_indices.filter_map { |i| facts[i]&.dig(:confidence) } fb = fallback_confidence geo_mean = source_confs.empty? ? fb : geometric_mean(source_confs) { content: item[:content] || item['content'], content_type: (item[:content_type] || item['content_type'] || 'inference').to_sym, status: :candidate, confidence: [geo_mean, synthesis_confidence_cap].min, source_indices: source_indices } end |
.classify_relation(fact, entry) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 203 def classify_relation(fact, entry) fb_conf = fallback_confidence if llm_available? llm_classify_relation(fact, entry) else { from_content: fact[:content], to_id: entry[:id], relation_type: 'similar_to', confidence: fb_conf } end rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.classify_relation') { from_content: fact[:content], to_id: entry[:id], relation_type: 'similar_to', confidence: fallback_confidence } end |
.fallback_confidence ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 34 def fallback_confidence = Helpers::Confidence.apollo_setting(:gas, :fallback_confidence, default: 0.5) |
.fallback_relation(fact, entry) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 265 def fallback_relation(fact, entry) { from_content: fact[:content], to_id: entry[:id], relation_type: 'similar_to', confidence: fallback_confidence } end |
.fetch_similar_entries(facts) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 187 def fetch_similar_entries(facts) lim = similar_entries_limit min_conf = Helpers::GraphQuery.default_query_min_confidence entries = [] facts.each do |fact| result = Runners::Knowledge.retrieve_relevant(query: fact[:content], limit: lim, min_confidence: min_conf) entries.concat(result[:entries]) if result[:success] && result[:entries]&.any? rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.fetch_similar_entries') next end unique = entries.uniq { |e| e[:id] } log.debug("GAS fetch_similar_entries facts=#{facts.size} entries=#{unique.size}") unique end |
.geometric_mean(values) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 330 def geometric_mean(values) return 0.0 if values.empty? product = values.reduce(1.0) { |acc, v| acc * v } product**(1.0 / values.length) end |
.json_load(str) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 26 def json_load(str) json_parse(str) end |
.llm_anticipate(facts) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 337 def llm_anticipate(facts) facts_text = facts.map { |f| "(#{f[:content_type]}) #{f[:content]}" }.join("\n") prompt = <<~PROMPT Given these knowledge entries, generate 1-3 likely follow-up questions a user might ask. Knowledge: #{facts_text} Return JSON with a "questions" array of question strings. PROMPT result = Legion::LLM::Pipeline::GaiaCaller.structured( message: prompt.strip, schema: { type: :object, properties: { questions: { type: :array, items: { type: :string } } }, required: ['questions'] }, phase: 'gas_anticipate' ) content = result.respond_to?(:message) ? result.[:content] : result.to_s parsed = json_load(content) questions = parsed.is_a?(Hash) ? (parsed[:questions] || parsed['questions'] || []) : [] questions = questions.first(max_anticipations) questions.map do |q| promote_to_pattern_store(question: q, facts: facts) { question: q } end rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.llm_anticipate') [] end |
.llm_available? ⇒ Boolean
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 388 def llm_available? defined?(Legion::LLM::Pipeline::GaiaCaller) rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.llm_available') false end |
.llm_classify_relation(fact, entry) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 215 def llm_classify_relation(fact, entry) prompt = <<~PROMPT Classify the relationship between these two knowledge entries. Valid types: #{RELATION_TYPES.join(', ')} Entry A (new): #{fact[:content]} Entry B (existing): #{entry[:content]} Return JSON with relation_type and confidence (0.0-1.0). PROMPT result = Legion::LLM::Pipeline::GaiaCaller.structured( message: prompt.strip, schema: { type: :object, properties: { relations: { type: :array, items: { type: :object, properties: { relation_type: { type: :string }, confidence: { type: :number } }, required: %w[relation_type confidence] } } }, required: ['relations'] }, phase: 'gas_relate' ) content = result.respond_to?(:message) ? result.[:content] : result.to_s parsed = json_load(content) rels = parsed.is_a?(Hash) ? (parsed[:relations] || parsed['relations'] || []) : [] best = rels.max_by { |r| r[:confidence] || r['confidence'] || 0 } return fallback_relation(fact, entry) unless best conf = best[:confidence] || best['confidence'] || 0 rtype = best[:relation_type] || best['relation_type'] return fallback_relation(fact, entry) if conf < relate_confidence_gate || !RELATION_TYPES.include?(rtype) { from_content: fact[:content], to_id: entry[:id], relation_type: rtype, confidence: conf } rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.llm_classify_relation') fallback_relation(fact, entry) end |
.llm_comprehend(messages, response) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 399 def llm_comprehend(, response) prompt = <<~PROMPT Extract distinct facts from this exchange. Return JSON array of {content:, content_type:} where content_type is one of: fact, concept, procedure, association. User: #{.last&.dig(:content)} Assistant: #{response} PROMPT result = Legion::LLM::Pipeline::GaiaCaller.structured( message: prompt.strip, schema: { type: :object, properties: { facts: { type: :array, items: { type: :object, properties: { content: { type: :string }, content_type: { type: :string } }, required: %w[content content_type] } } }, required: ['facts'] }, phase: 'gas_comprehend' ) content = result.respond_to?(:message) ? result.[:content] : result.to_s parsed = json_load(content) facts_array = parsed.is_a?(Hash) ? (parsed[:facts] || parsed['facts'] || []) : Array(parsed) facts_array.map do |f| { content: f[:content] || f['content'], content_type: (f[:content_type] || f['content_type'] || 'fact').to_sym } end rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.llm_comprehend') mechanical_comprehend(, response) end |
.llm_synthesize(facts) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 269 def llm_synthesize(facts) facts_text = facts.each_with_index.map { |f, i| "[#{i}] (#{f[:content_type]}) #{f[:content]}" }.join("\n") prompt = <<~PROMPT Given these knowledge entries, generate derivative insights (inferences, implications, or connections). Each synthesis should combine information from multiple sources. Entries: #{facts_text} Return JSON with a "synthesis" array where each item has: content (string), content_type (inference/implication/connection), source_indices (array of entry indices used). PROMPT result = Legion::LLM::Pipeline::GaiaCaller.structured( message: prompt.strip, schema: { type: :object, properties: { synthesis: { type: :array, items: { type: :object, properties: { content: { type: :string }, content_type: { type: :string }, source_indices: { type: :array, items: { type: :integer } } }, required: %w[content content_type source_indices] } } }, required: ['synthesis'] }, phase: 'gas_synthesize' ) content = result.respond_to?(:message) ? result.[:content] : result.to_s parsed = json_load(content) items = parsed.is_a?(Hash) ? (parsed[:synthesis] || parsed['synthesis'] || []) : [] items.map { |item| build_synthesis_entry(item, facts) } rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.llm_synthesize') [] end |
.max_anticipations ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 32 def max_anticipations = Helpers::Confidence.apollo_setting(:gas, :max_anticipations, default: MAX_ANTICIPATIONS) |
.mechanical_comprehend(_messages, response) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 395 def mechanical_comprehend(, response) [{ content: response, content_type: :observation }] end |
.phase_anticipate(facts, _synthesis) ⇒ Object
Phase 6: Anticipate - pre-cache likely follow-up questions
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 169 def phase_anticipate(facts, _synthesis) if facts.empty? log.debug('GAS phase_anticipate skipped reason=no_facts') return [] end unless llm_available? log.debug('GAS phase_anticipate skipped reason=llm_unavailable') return [] end anticipations = llm_anticipate(facts) log.debug("GAS phase_anticipate anticipations=#{anticipations.size}") anticipations rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.phase_anticipate') [] end |
.phase_comprehend(audit_event) ⇒ Object
Phase 1: Comprehend - extract typed facts from the exchange
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 72 def phase_comprehend(audit_event) = audit_event[:messages] response = audit_event[:response_content] mode = llm_available? ? :llm : :mechanical log.debug("GAS phase_comprehend mode=#{mode} messages=#{Array().size} response_length=#{response.to_s.length}") facts = mode == :llm ? llm_comprehend(, response) : mechanical_comprehend(, response) log.debug("GAS phase_comprehend facts=#{facts.size}") facts end |
.phase_deposit(facts, _entities, _relations, _synthesis, audit_event) ⇒ Object
Phase 5: Deposit - atomic write to Apollo
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 143 def phase_deposit(facts, _entities, _relations, _synthesis, audit_event) unless defined?(Runners::Knowledge) log.debug('GAS phase_deposit skipped reason=knowledge_runner_unavailable') return { deposited: 0 } end deposited = 0 facts.each do |fact| Runners::Knowledge.handle_ingest( content: fact[:content], content_type: fact[:content_type].to_s, tags: %w[gas auto_extracted], source_agent: 'gas_pipeline', source_provider: audit_event.dig(:routing, :provider)&.to_s, knowledge_domain: 'general', context: { source_request_id: audit_event[:request_id] } ) deposited += 1 rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.phase_deposit_fact') end log.info("GAS phase_deposit deposited=#{deposited} facts=#{facts.size}") { deposited: deposited } end |
.phase_extract(audit_event, _facts) ⇒ Object
Phase 2: Extract - entity extraction (delegates to existing EntityExtractor)
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 84 def phase_extract(audit_event, _facts) unless defined?(Runners::EntityExtractor) log.debug('GAS phase_extract skipped reason=entity_extractor_unavailable') return [] end result = Runners::EntityExtractor.extract_entities(text: audit_event[:response_content]) entities = result[:success] ? (result[:entities] || []) : [] log.debug("GAS phase_extract success=#{result[:success]} entities=#{entities.size}") entities rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.phase_extract') [] end |
.phase_relate(facts, _entities) ⇒ Object
Phase 3: Relate - classify relationships between new and existing entries
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 100 def phase_relate(facts, _entities) unless defined?(Runners::Knowledge) log.debug('GAS phase_relate skipped reason=knowledge_runner_unavailable') return [] end existing = fetch_similar_entries(facts) if existing.empty? log.debug("GAS phase_relate skipped reason=no_existing_entries facts=#{facts.size}") return [] end relations = [] facts.each do |fact| existing.each do |entry| relation = classify_relation(fact, entry) relations << relation if relation end end log.debug("GAS phase_relate facts=#{facts.size} existing=#{existing.size} relations=#{relations.size}") relations end |
.phase_synthesize(facts, _relations) ⇒ Object
Phase 4: Synthesize - generate derivative knowledge
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 124 def phase_synthesize(facts, _relations) if facts.length < 2 log.debug("GAS phase_synthesize skipped reason=insufficient_facts facts=#{facts.length}") return [] end unless llm_available? log.debug('GAS phase_synthesize skipped reason=llm_unavailable') return [] end synthesis = llm_synthesize(facts) log.debug("GAS phase_synthesize synthesis=#{synthesis.size}") synthesis rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.phase_synthesize') [] end |
.process(audit_event) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 36 def process(audit_event) unless processable?(audit_event) log.debug('GAS process skipped reason=no_content') return { phases_completed: 0, reason: 'no content' } end log.debug("GAS process start request_id=#{audit_event[:request_id] || 'nil'} messages=#{Array(audit_event[:messages]).size} response_length=#{audit_event[:response_content].to_s.length}") # rubocop:disable Layout/LineLength facts = phase_comprehend(audit_event) entities = phase_extract(audit_event, facts) relations = phase_relate(facts, entities) synthesis = phase_synthesize(facts, relations) deposit_result = phase_deposit(facts, entities, relations, synthesis, audit_event) anticipations = phase_anticipate(facts, synthesis) result = { phases_completed: 6, facts: facts.length, entities: entities.length, relations: relations.length, synthesis: synthesis.length, deposited: deposit_result, anticipations: anticipations.length } log.info("GAS process complete facts=#{result[:facts]} entities=#{result[:entities]} relations=#{result[:relations]} synthesis=#{result[:synthesis]} anticipations=#{result[:anticipations]}") # rubocop:disable Layout/LineLength result rescue StandardError => e handle_exception(e, level: :error, operation: 'apollo.gas.process') { phases_completed: 0, error: e. } end |
.processable?(event) ⇒ Boolean
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 67 def processable?(event) event[:messages]&.any? == true && !event[:response_content].nil? end |
.promote_to_pattern_store(question:, facts:) ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 375 def promote_to_pattern_store(question:, facts:) return unless defined?(Legion::Extensions::Agentic::TBI::PatternStore) Legion::Extensions::Agentic::TBI::PatternStore.promote_candidate( intent: question, resolution: { source: 'gas_anticipate', facts: facts.map { |f| f[:content] } }, confidence: fallback_confidence ) rescue StandardError => e handle_exception(e, level: :warn, operation: 'apollo.gas.promote_to_pattern_store') nil end |
.relate_confidence_gate ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 30 def relate_confidence_gate = Helpers::Confidence.apollo_setting(:gas, :relate_confidence_gate, default: RELATE_CONFIDENCE_GATE) |
.similar_entries_limit ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 33 def similar_entries_limit = Helpers::Confidence.apollo_setting(:gas, :similar_entries_limit, default: 3) |
.synthesis_confidence_cap ⇒ Object
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# File 'lib/legion/extensions/apollo/runners/gas.rb', line 31 def synthesis_confidence_cap = Helpers::Confidence.apollo_setting(:gas, :synthesis_confidence_cap, default: SYNTHESIS_CONFIDENCE_CAP) |