v0.4.12: guardrails, mistral models, privacy policy updates

[waleedlatif1]

• improvement(performance): remove unused source/target indices, add index on snapshot id (improvement(performance): remove unused source/target indices, add index on snapshot id #1603)
• fix(blog): rename building to blogs with redirect (fix(blog): rename building to blogs with redirect #1604)
• improvement(privacy-policy): updated privacy policy for google (improvement(privacy-policy): updated privacy policy for google #1602)
• feat(guardrails): added guardrails block/tools and docs (feat(guardrails): added guardrails block/tools and docs #1605)
• fix(inference-billing): fix inference billing when stream is true via API, add drag-and-drop functionality to deployed chat (fix(inference-billing): fix inference billing when stream is true via API, add drag-and-drop functionality to deployed chat #1606)
• feat(mistral): added mistral as a provider, updated model prices (feat(mistal): added mistral as a provider, updated model prices #1607)
• fix(vulns): fix various vulnerabilities and enhanced code security (fix(vulns): fix various vulnerabilities and enhanced code security #1611)

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Project	Deployment	Preview	Comments	Updated (UTC)
docs	Ready	Preview	Comment	Oct 12, 2025 5:17am

[greptile-apps]

Greptile Overview

Summary

This release bundles 6 separate PRs into v0.4.12, introducing guardrails for content validation, Mistral AI provider support, performance improvements, and UX enhancements.

Major Changes:

• Guardrails Feature (#1605): Added comprehensive content validation system with JSON validation, regex pattern matching, RAG-based hallucination detection using knowledge bases, and PII detection/masking using Microsoft Presidio
• Mistral AI Provider (#1607): Integrated Mistral AI as a new LLM provider with streaming support, tool calling, and updated pricing for all models across providers
• Inference Billing Fix (#1606): Resolved critical billing bug where streaming API executions weren't properly tracked; now defers logging completion until after token counting
• Drag-and-Drop Files (#1606): Enhanced deployed chat interface with drag-and-drop file upload capability
• Performance Optimization (#1603): Removed unused database indexes on workflow_edges (source/target blocks) and added index on state_snapshot_id for faster execution log queries
• Blog Path Redirect (#1604): Added permanent redirect from /building/* to /blog/* for backward compatibility
• Privacy Policy Update (#1602): Updated privacy policy for additional Google OAuth scopes

Key Implementation Details:

• Guardrails block uses Python subprocess for PII detection via Presidio, with proper error handling and JSON parsing
• Hallucination detection queries knowledge bases via internal API and uses LLM to score confidence (0-10 scale)
• Mistral provider uses OpenAI SDK with custom base URL for API compatibility
• Streaming billing fix adds skipLoggingComplete flag and _streamingMetadata to defer cost calculation

Confidence Score: 5/5

• This PR is safe to merge with high confidence
• All changes are well-implemented with no critical issues found. The PR bundles multiple tested PRs (#1603-1607) that were already reviewed individually. Code follows established patterns, includes proper error handling, and the billing fix addresses a real production issue. Database migrations are minimal and safe (index changes only).
• No files require special attention

Important Files Changed

File Analysis

Filename	Score	Overview
packages/db/migrations/0098_thick_prima.sql	5/5	Removed unused source/target block indexes and added index on state_snapshot_id for performance optimization
apps/sim/blocks/blocks/guardrails.ts	5/5	Added comprehensive guardrails block with JSON, regex, hallucination, and PII validation types
apps/sim/lib/guardrails/validate_pii.py	5/5	Implemented PII detection using Presidio library with block/mask modes and multi-language support
apps/sim/lib/guardrails/validate_hallucination.ts	5/5	Implemented RAG-based hallucination detection with knowledge base retrieval and LLM confidence scoring
apps/sim/providers/mistral/index.ts	5/5	Added Mistral AI provider with OpenAI-compatible API client, streaming support, and tool calling
apps/sim/lib/workflows/streaming.ts	5/5	Fixed streaming workflow billing by deferring logging completion until after token counting
apps/sim/app/api/workflows/[id]/execute/route.ts	5/5	Added skipLoggingComplete option to support deferred billing in streaming workflows

Sequence Diagram

sequenceDiagram
    participant Client
    participant API
    participant Executor
    participant Guardrails
    participant KB as Knowledge Base
    participant LLM
    participant Presidio as PII Detection
    participant Billing

    Client->>API: POST /api/workflows/[id]/execute
    API->>Executor: executeWorkflow(stream: true)
    
    alt Guardrails Block
        Executor->>Guardrails: Validate content
        
        alt Hallucination Check
            Guardrails->>KB: Query knowledge base (RAG)
            KB-->>Guardrails: Return chunks
            Guardrails->>LLM: Score confidence (0-10)
            LLM-->>Guardrails: Score + reasoning
        else PII Detection
            Guardrails->>Presidio: Analyze text
            Presidio-->>Guardrails: Detected entities
            alt Block Mode
                Guardrails-->>Executor: Validation failed
            else Mask Mode
                Guardrails-->>Executor: Masked text
            end
        end
    end
    
    Executor->>LLM: Execute workflow (stream)
    LLM-->>Executor: Stream response
    Executor-->>API: Stream chunks
    
    Note over Executor,Billing: Streaming Fix: Defer logging completion
    Executor->>Executor: Build trace spans with costs
    Executor->>Billing: Complete logging session
    
    API-->>Client: Return response

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