sendnrw/glpi-neural-brain
2
0
Fork 0
Code Issues 1 Pull Requests Actions Packages Projects Releases Wiki Activity

Agent-Mode mit Aufgabenteilung und automatischer Recherche

Browse Source
This commit is contained in:
jbergner
2026-08-07 21:57:23 +02:00
parent ffee925163
commit adbe69d24d
30 changed files with 2580 additions and 51 deletions
Download Patch File Download Diff File Expand all files Collapse all files
internal/engine/article.go
+5 -5
View File
@@ -139,7 +139,7 @@ func (e *Engine) synthesizeKnowledgeArticle(ctx context.Context, trigger string,
researchStrategy := e.effectiveArticleResearchStrategy()
freshness := detectArticleFreshnessNeed(plan, relation, selected)
initialWebResearch := false
if e.ResearchEnabledForRuntime() {
if e.evidenceAcquisitionEnabled() {
switch researchStrategy {
case "always":
collected, report, researchErr := e.collectResearchMaterialForArticle(ctx, trigger, plan.SourceNodeIDs, selected, plan, brief, researchResults)
@@ -160,7 +160,7 @@ func (e *Engine) synthesizeKnowledgeArticle(ctx context.Context, trigger string,
}
}
}
e.Broker.Publish(model.Activity{Type: "article.research.strategy", Source: "brain", Phase: "knowledge-research-routing", NodeIDs: plan.SourceNodeIDs, Message: fmt.Sprintf("Artikelrecherche: %s · initiales Webmaterial: %t", researchStrategy, initialWebResearch), Strength: .44, Metadata: map[string]any{"trigger": trigger, "research_strategy": researchStrategy, "freshness_required": freshness.Required, "freshness_reason": freshness.Reason, "initial_web_research": initialWebResearch, "initial_research_queries": researchReport.Queries, "initial_research_fetched": researchReport.Fetched}})
e.Broker.Publish(model.Activity{Type: "article.research.strategy", Source: "brain", Phase: "knowledge-research-routing", NodeIDs: plan.SourceNodeIDs, Message: fmt.Sprintf("Artikelrecherche: %s · initiales Webmaterial: %t", researchStrategy, initialWebResearch), Strength: .44, Metadata: map[string]any{"trigger": trigger, "research_strategy": researchStrategy, "freshness_required": freshness.Required, "freshness_reason": freshness.Reason, "initial_web_research": initialWebResearch, "initial_research_queries": researchReport.Queries, "source_inbox_results": researchReport.InboxResults, "initial_research_fetched": researchReport.Fetched}})
e.Broker.Publish(model.Activity{Type: "article.draft.started", Source: "brain", Phase: "knowledge-synthesis", NodeIDs: plan.SourceNodeIDs, Message: fmt.Sprintf("%s erstellt zuerst aus dem verfügbaren Evidenzsatz einen KB-Artikel; Webrecherche erfolgt nur bei Bedarf", e.Cfg.ArticleSynthesisModel), Strength: .95, Metadata: map[string]any{"trigger": trigger, "action": plan.Action, "article_type": plan.ArticleType, "target_article_id": plan.TargetArticleID, "source_count": len(selected), "research_material_count": len(researchResults), "research_rounds": researchReport.Rounds, "research_fetched": researchReport.Fetched, "research_strategy": researchStrategy, "freshness_required": freshness.Required, "synthesis_model": e.Cfg.ArticleSynthesisModel, "review_model": e.Cfg.ArticleReviewModel, "generation_depth": generationDepth}})
@@ -187,7 +187,7 @@ func (e *Engine) synthesizeKnowledgeArticle(ctx context.Context, trigger string,
// In adaptive mode Gemma is allowed to say that the internal KB is not
// sufficient. Only then do we pay for a focused Web round. This happens
// before the reviewer, so an obvious evidence gap does not waste a Qwen call.
if researchStrategy == "adaptive" && !authorResearchAttempted && !freshness.Required && e.ResearchEnabledForRuntime() && (content.ResearchNeeded || content.FreshnessSensitive) {
if researchStrategy == "adaptive" && !authorResearchAttempted && !freshness.Required && e.evidenceAcquisitionEnabled() && (content.ResearchNeeded || content.FreshnessSensitive) {
queries := append([]string{}, content.ResearchQueries...)
if content.ResearchNeeded && len(queries) == 0 {
queries = append(queries, plan.ResearchQuery)
@@ -235,11 +235,11 @@ func (e *Engine) synthesizeKnowledgeArticle(ctx context.Context, trigger string,
break
}
repairAttempts++
if len(quality.MissingEvidenceQueries) > 0 && e.ResearchEnabledForRuntime() {
if len(quality.MissingEvidenceQueries) > 0 && e.evidenceAcquisitionEnabled() {
e.Broker.Publish(model.Activity{Type: "article.review.research.started", Source: "brain", Phase: "quality-repair-research", NodeIDs: draft.SourceNodeIDs, Message: "Der Reviewer hat konkrete unbelegte Aussagen gefunden · nur diese Punkte werden nachrecherchiert", Strength: .84, Metadata: map[string]any{"trigger": trigger, "repair_round": repairAttempts, "queries": quality.MissingEvidenceQueries, "review_model": e.Cfg.ArticleReviewModel}})
additional, repairReport := e.collectReviewerRepairResearch(ctx, trigger, plan.SourceNodeIDs, quality.MissingEvidenceQueries, repairAttempts, attemptedRepairURLs)
researchResults = uniqueResearchEvidence(append(researchResults, additional...))
e.Broker.Publish(model.Activity{Type: "article.review.research.completed", Source: "brain", Phase: "quality-repair-research", NodeIDs: draft.SourceNodeIDs, Message: fmt.Sprintf("Gezielte Nachrecherche beendet · %d zusätzliche Volltextquellen", len(additional)), Strength: .82, Metadata: map[string]any{"trigger": trigger, "repair_round": repairAttempts, "new_material": len(additional), "queries": repairReport.Queries, "search_results": repairReport.SearchResults, "fetched": repairReport.Fetched}})
e.Broker.Publish(model.Activity{Type: "article.review.research.completed", Source: "brain", Phase: "quality-repair-research", NodeIDs: draft.SourceNodeIDs, Message: fmt.Sprintf("Gezielte Nachrecherche beendet · %d zusätzliche Volltextquellen", len(additional)), Strength: .82, Metadata: map[string]any{"trigger": trigger, "repair_round": repairAttempts, "new_material": len(additional), "queries": repairReport.Queries, "source_inbox_results": repairReport.InboxResults, "search_results": repairReport.SearchResults, "fetched": repairReport.Fetched}})
}
reviewCopy := quality
reviewFeedback = &reviewCopy