rckrdmrd
62c811be45
- conversations: Conversaciones con agente LLM - conversation_messages: Mensajes individuales - llm_tools_usage: Registro de uso de herramientas - llm_proactive_notifications: Notificaciones proactivas - llm_usage_limits: Limites de uso por usuario/plan VIP Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
249 lines
8.0 KiB
PL/PgSQL
249 lines
8.0 KiB
PL/PgSQL
-- ============================================================================
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-- SCHEMA: llm
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-- TABLE: conversation_messages
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-- DESCRIPTION: Mensajes dentro de conversaciones LLM
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-- VERSION: 1.0.0
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-- CREATED: 2026-01-16
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-- SPRINT: Sprint 5 - DDL Implementation Roadmap Q1-2026
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-- ============================================================================
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-- Enum para rol del mensaje
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DO $$ BEGIN
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CREATE TYPE llm.message_role AS ENUM (
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'system', -- Mensaje de sistema
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'user', -- Mensaje del usuario
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'assistant', -- Respuesta del asistente
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'tool', -- Resultado de herramienta
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'function' -- Llamada a funcion (legacy)
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);
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EXCEPTION
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WHEN duplicate_object THEN null;
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END $$;
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-- Enum para estado del mensaje
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DO $$ BEGIN
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CREATE TYPE llm.message_status AS ENUM (
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'pending', -- Pendiente de procesar
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'streaming', -- Streaming en progreso
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'completed', -- Completado
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'error', -- Error
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'cancelled', -- Cancelado
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'edited' -- Editado por usuario
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);
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EXCEPTION
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WHEN duplicate_object THEN null;
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END $$;
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-- Tabla de Mensajes
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CREATE TABLE IF NOT EXISTS llm.conversation_messages (
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-- Identificadores
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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conversation_id UUID NOT NULL REFERENCES llm.conversations(id) ON DELETE CASCADE,
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parent_message_id UUID REFERENCES llm.conversation_messages(id),
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-- Rol y contenido
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role llm.message_role NOT NULL,
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content TEXT NOT NULL,
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status llm.message_status NOT NULL DEFAULT 'completed',
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-- Para mensajes de herramientas
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tool_call_id VARCHAR(100),
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tool_name VARCHAR(100),
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tool_input JSONB,
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tool_output JSONB,
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-- Tokens
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token_count INTEGER DEFAULT 0,
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prompt_tokens INTEGER DEFAULT 0,
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completion_tokens INTEGER DEFAULT 0,
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-- Modelo usado
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model VARCHAR(50),
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-- Tiempos de respuesta
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latency_ms INTEGER, -- Tiempo de respuesta
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time_to_first_token_ms INTEGER, -- TTFT para streaming
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-- Contenido estructurado
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attachments JSONB DEFAULT '[]'::JSONB, -- Archivos adjuntos
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citations JSONB DEFAULT '[]'::JSONB, -- Citas/referencias
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code_blocks JSONB DEFAULT '[]'::JSONB, -- Bloques de codigo
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-- Markdown y formato
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is_markdown BOOLEAN NOT NULL DEFAULT TRUE,
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rendered_html TEXT, -- HTML pre-renderizado
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-- Feedback
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thumbs_up BOOLEAN,
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feedback_text TEXT,
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feedback_at TIMESTAMPTZ,
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-- Edicion
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is_edited BOOLEAN NOT NULL DEFAULT FALSE,
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original_content TEXT,
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edited_at TIMESTAMPTZ,
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-- Regeneracion
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is_regenerated BOOLEAN NOT NULL DEFAULT FALSE,
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regeneration_count INTEGER NOT NULL DEFAULT 0,
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previous_version_id UUID,
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-- Metadata
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metadata JSONB DEFAULT '{}'::JSONB,
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-- Timestamps
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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-- Indices para orden
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sequence_number INTEGER NOT NULL DEFAULT 0 -- Orden en la conversacion
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);
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COMMENT ON TABLE llm.conversation_messages IS
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'Mensajes individuales dentro de conversaciones LLM';
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COMMENT ON COLUMN llm.conversation_messages.tool_call_id IS
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'ID de llamada a herramienta para vincular request/response';
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-- Indices
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CREATE INDEX IF NOT EXISTS idx_messages_conversation
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ON llm.conversation_messages(conversation_id, sequence_number);
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CREATE INDEX IF NOT EXISTS idx_messages_parent
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ON llm.conversation_messages(parent_message_id)
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WHERE parent_message_id IS NOT NULL;
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CREATE INDEX IF NOT EXISTS idx_messages_role
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ON llm.conversation_messages(role);
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CREATE INDEX IF NOT EXISTS idx_messages_tool
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ON llm.conversation_messages(tool_call_id)
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WHERE tool_call_id IS NOT NULL;
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CREATE INDEX IF NOT EXISTS idx_messages_created
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ON llm.conversation_messages(created_at DESC);
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CREATE INDEX IF NOT EXISTS idx_messages_feedback
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ON llm.conversation_messages(thumbs_up, feedback_at)
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WHERE thumbs_up IS NOT NULL;
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-- Trigger para updated_at
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DROP TRIGGER IF EXISTS message_updated_at ON llm.conversation_messages;
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CREATE TRIGGER message_updated_at
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BEFORE UPDATE ON llm.conversation_messages
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FOR EACH ROW
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EXECUTE FUNCTION llm.update_llm_timestamp();
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-- Trigger para actualizar estadisticas de conversacion
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CREATE OR REPLACE FUNCTION llm.update_conversation_stats()
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RETURNS TRIGGER AS $$
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BEGIN
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IF TG_OP = 'INSERT' THEN
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UPDATE llm.conversations
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SET message_count = message_count + 1,
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token_count_input = token_count_input + COALESCE(NEW.prompt_tokens, 0),
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token_count_output = token_count_output + COALESCE(NEW.completion_tokens, 0),
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total_tokens = total_tokens + COALESCE(NEW.token_count, 0),
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last_message_at = NEW.created_at,
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last_user_message_at = CASE WHEN NEW.role = 'user' THEN NEW.created_at ELSE last_user_message_at END
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WHERE id = NEW.conversation_id;
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ELSIF TG_OP = 'DELETE' THEN
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UPDATE llm.conversations
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SET message_count = message_count - 1,
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token_count_input = token_count_input - COALESCE(OLD.prompt_tokens, 0),
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token_count_output = token_count_output - COALESCE(OLD.completion_tokens, 0),
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total_tokens = total_tokens - COALESCE(OLD.token_count, 0)
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WHERE id = OLD.conversation_id;
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END IF;
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RETURN COALESCE(NEW, OLD);
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END;
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$$ LANGUAGE plpgsql;
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DROP TRIGGER IF EXISTS message_stats_update ON llm.conversation_messages;
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CREATE TRIGGER message_stats_update
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AFTER INSERT OR DELETE ON llm.conversation_messages
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FOR EACH ROW
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EXECUTE FUNCTION llm.update_conversation_stats();
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-- Trigger para asignar sequence_number
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CREATE OR REPLACE FUNCTION llm.assign_message_sequence()
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RETURNS TRIGGER AS $$
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BEGIN
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SELECT COALESCE(MAX(sequence_number), 0) + 1 INTO NEW.sequence_number
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FROM llm.conversation_messages
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WHERE conversation_id = NEW.conversation_id;
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RETURN NEW;
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END;
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$$ LANGUAGE plpgsql;
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DROP TRIGGER IF EXISTS message_sequence ON llm.conversation_messages;
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CREATE TRIGGER message_sequence
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BEFORE INSERT ON llm.conversation_messages
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FOR EACH ROW
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WHEN (NEW.sequence_number = 0)
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EXECUTE FUNCTION llm.assign_message_sequence();
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-- Funcion para obtener historial de conversacion
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CREATE OR REPLACE FUNCTION llm.get_conversation_history(
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p_conversation_id UUID,
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p_limit INTEGER DEFAULT 50
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)
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RETURNS TABLE (
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role llm.message_role,
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content TEXT,
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tool_name VARCHAR,
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tool_output JSONB,
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created_at TIMESTAMPTZ
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) AS $$
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BEGIN
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RETURN QUERY
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SELECT
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m.role,
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m.content,
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m.tool_name,
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m.tool_output,
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m.created_at
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FROM llm.conversation_messages m
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WHERE m.conversation_id = p_conversation_id
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AND m.status = 'completed'
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ORDER BY m.sequence_number DESC
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LIMIT p_limit;
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END;
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$$ LANGUAGE plpgsql;
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-- Vista de mensajes con feedback negativo (para mejorar)
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CREATE OR REPLACE VIEW llm.v_messages_negative_feedback AS
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SELECT
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m.id,
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m.conversation_id,
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c.type AS conversation_type,
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m.role,
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m.content,
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m.model,
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m.feedback_text,
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m.created_at
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FROM llm.conversation_messages m
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JOIN llm.conversations c ON m.conversation_id = c.id
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WHERE m.thumbs_up = FALSE
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ORDER BY m.feedback_at DESC;
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-- RLS Policies (hereda de conversations via JOIN)
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ALTER TABLE llm.conversation_messages ENABLE ROW LEVEL SECURITY;
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CREATE POLICY messages_via_conversation ON llm.conversation_messages
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FOR ALL
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USING (
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conversation_id IN (
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SELECT id FROM llm.conversations
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WHERE user_id = current_setting('app.current_user_id', true)::UUID
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)
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);
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-- Grants
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GRANT SELECT, INSERT, UPDATE, DELETE ON llm.conversation_messages TO trading_app;
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GRANT SELECT ON llm.conversation_messages TO trading_readonly;
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GRANT SELECT ON llm.v_messages_negative_feedback TO trading_app;
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GRANT EXECUTE ON FUNCTION llm.get_conversation_history TO trading_app;
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