Auto-Context: Semantische Kontext-Injektion, Memory-File-Embeddings, Agent-Toggle
- Automatische Embedding-basierte Kontext-Injektion vor jeder API-Anfrage (Top 5 Chat-Ergebnisse + Top 3 Memory-File-Treffer als recalled_context) - Memory-Dateien (.md) werden embedded (Backfill + Live nach memory_write) - Neue Agent-Option 'useAutoContext' (Checkbox, Default: aktiviert) - VectorSearchService: SearchMemoryFilesAsync, EmbedMemoryFileAsync, Chunking - EmbeddingBackgroundService: Memory-File-Backfill + EnqueueMemoryFile - ToolService: memory_write löst Re-Embedding aus - embeddingBg Parameter an ExecuteTool durchgereicht
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@@ -208,7 +208,7 @@ public static class ChatEndpoint
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try
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{
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await anthropic.StreamChat(res, ctx.ModelId, ctx.SystemPrompt, messages, ctx.ChainId, ctx.Workspace, sessionId, agentId: ctx.AgentId, useMemory: ctx.UseMemory, webSearchVersion: ctx.WebSearchVersion, maxIterations: ctx.MaxIterations, toolChoice: effectiveToolChoice, review: ctx.Review, finalizer: ctx.Finalizer, allowUserChoice: ctx.Agent?.AllowUserChoice ?? true, planMode: ctx.PlanMode, workCt: workCt, hardCt: hardCt, sseCt: sseCt, remoteMgr: remoteMgr);
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await anthropic.StreamChat(res, ctx.ModelId, ctx.SystemPrompt, messages, ctx.ChainId, ctx.Workspace, sessionId, agentId: ctx.AgentId, useMemory: ctx.UseMemory, webSearchVersion: ctx.WebSearchVersion, maxIterations: ctx.MaxIterations, toolChoice: effectiveToolChoice, review: ctx.Review, finalizer: ctx.Finalizer, allowUserChoice: ctx.Agent?.AllowUserChoice ?? true, planMode: ctx.PlanMode, useAutoContext: ctx.Agent?.UseAutoContext ?? true, workCt: workCt, hardCt: hardCt, sseCt: sseCt, remoteMgr: remoteMgr);
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}
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finally
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{
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