Todas las características de la extensión LLM Otoroshi

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Unified interface

  • Simplifies integration with multiple LLM providers
  • Reduces development and maintenance overhead

Use multiple providers

  • Supports 10+ LLM providers, with more coming
  • Increases flexibility and choice

Load balancing

  • Distributes workload across multiple LLM providers
  • Ensures optimal performance

Fallbacks

  • Automatically switches LLMs during failures
  • Delivers uninterrupted and accurate performance

Automatic retries

  • Handles inexplicable LLM API failures
  • Rescues a substantial number of failed requests

Semantic cache

  • Speeds up repeated queries
  • Enhances response times

Custom quotas

  • Manage LLM token quotas per consumer
  • Optimize and control costs

Key vault

  • Securely store LLM API keys
  • Integrates with Otoroshi vault or other secret vaults

Observability and reporting

  • Audits every LLM request with detailed metadata
  • Exportable audit events for further reporting

Fine grained authorizations

  • Advanced control over model usage
  • Constrains usage based on user identity, API key, metadata, etc.

Prompt Fences

  • Validates prompts and responses
  • Prevents sensitive or personal information leakage

Prompt engineering

  • Provides contextual information to prompts
  • Stores prompts in a reusable library

Model Context Protocol (MCP)

  • Standardizes tool and resource exposure for LLMs
  • Enables interoperability between LLM providers and agents

Guardrails

  • Enforces safety and compliance constraints
  • Reduces risk of inappropriate or harmful outputs

Cost Tracking

  • Monitors resource usage and costs per request
  • Enables budgeting and optimization of LLM operations

MCP Connectors

  • Facilitates integration with external systems
  • Expands LLM capabilities via third-party APIs

MCP Server Exposition

  • Makes tools and features discoverable to LLMs and agents
  • Supports standardized tool calling via MCP

Wasm Functions (Tool Calls)

  • Runs sandboxed WebAssembly modules securely
  • Enables cross-platform, language-agnostic tool execution

HTTP Functions (Tool Calls)

  • Allows LLMs to call external HTTP APIs
  • Enables integration with web services and cloud functions

Embedding Models

  • Generates vector representations for text
  • Enables semantic search and retrieval

Reporting

  • Generates detailed usage and performance reports
  • Supports compliance and auditing requirements

Ecological Impact LLM

  • Estimates and tracks the environmental footprint of LLM usage
  • Helps organizations meet sustainability goals

Personal Information Guardrail

  • Prevents leakage of personally identifiable information (PII)
  • Ensures compliance with privacy regulations

Auto Secrets Leakage Guardrail

  • Detects and prevents accidental sharing of secrets or credentials
  • Reduces risk of security breaches

Characters Count Guardrail

  • Enforces limits on input or output length
  • Prevents prompt or response overflow

Prompt Contains Guardrail

  • Checks for presence of restricted or required terms in prompts
  • Improves prompt quality and safety

Gender Bias Guardrail

  • Detects and mitigates gender bias in outputs
  • Promotes fairness and inclusivity

Gibberish Guardrail

  • Detects and blocks nonsensical or incoherent outputs
  • Improves response quality

LLM Guardrail

  • Applies general safety and compliance checks to LLM interactions
  • Provides a framework for extensible guardrail enforcement

Language Moderation Guardrail

  • Blocks toxic, offensive, or inappropriate language
  • Ensures outputs are suitable for all audiences

Secrets Leakage Guardrail

  • Prevents exposure of confidential or sensitive information
  • Protects organizational and user data

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