# MeshAI Documentation

## Docs

- [Admin API](https://docs.meshai.dev/api-reference/admin.md): Platform-level tenant management (platform:admin scope required)
- [Agents API](https://docs.meshai.dev/api-reference/agents.md): Register, list, update, and delete agents. Manage teams.
- [Anomalies API](https://docs.meshai.dev/api-reference/anomalies.md): List, inspect, acknowledge, and resolve anomalies. Manage anomaly rules.
- [Authentication](https://docs.meshai.dev/api-reference/authentication.md): API keys, scopes, signup, and login for the MeshAI API
- [Billing API](https://docs.meshai.dev/api-reference/billing.md): Query billing info, manage checkout, and handle webhooks
- [Compliance API](https://docs.meshai.dev/api-reference/compliance.md): Readiness score, FRIA, transparency cards, and incident reporting endpoints
- [Cost API](https://docs.meshai.dev/api-reference/cost.md): Token spend attribution by agent, team, model, and time series
- [Governance API](https://docs.meshai.dev/api-reference/governance.md): Audit trail, risk classification, policies, and approval endpoints
- [API Overview](https://docs.meshai.dev/api-reference/overview.md): Base URL, authentication, response format, and pagination for the MeshAI API
- [Telemetry API](https://docs.meshai.dev/api-reference/telemetry.md): Send heartbeats and report token usage
- [Plans & Pricing](https://docs.meshai.dev/billing/plans.md): Four tiers to match your AI agent deployment — from startup to enterprise
- [Usage Limits](https://docs.meshai.dev/billing/usage-limits.md): Agent limits per plan and what happens when you reach them
- [Agno](https://docs.meshai.dev/framework-guides/agno.md): Auto-track LLM calls in Agno (formerly Phidata) agents
- [Anthropic](https://docs.meshai.dev/framework-guides/anthropic.md): Auto-track all Anthropic Claude API calls
- [AutoGen](https://docs.meshai.dev/framework-guides/autogen.md): Auto-track LLM calls in AutoGen multi-agent conversations
- [AWS Bedrock](https://docs.meshai.dev/framework-guides/bedrock.md): Auto-track all AWS Bedrock LLM calls
- [CrewAI](https://docs.meshai.dev/framework-guides/crewai.md): Auto-track all LLM calls in CrewAI crews
- [Google Gemini](https://docs.meshai.dev/framework-guides/gemini.md): Auto-track all Google Gemini API calls
- [LangChain / LangGraph](https://docs.meshai.dev/framework-guides/langchain.md): Auto-track LLM calls in LangChain chains and LangGraph agents
- [LlamaIndex](https://docs.meshai.dev/framework-guides/llamaindex.md): Auto-track LLM calls in LlamaIndex pipelines
- [OpenAI](https://docs.meshai.dev/framework-guides/openai.md): Auto-track all OpenAI API calls
- [Pydantic AI](https://docs.meshai.dev/framework-guides/pydantic-ai.md): Auto-track LLM calls in Pydantic AI agents
- [Semantic Kernel](https://docs.meshai.dev/framework-guides/semantic-kernel.md): Auto-track LLM calls in Microsoft Semantic Kernel
- [Core Concepts](https://docs.meshai.dev/getting-started/concepts.md): Key concepts in the MeshAI Agent Control Plane
- [FAQ](https://docs.meshai.dev/getting-started/faq.md): Frequently asked questions about MeshAI
- [Introduction](https://docs.meshai.dev/getting-started/introduction.md): MeshAI is the Agent Control Plane — see, govern, and comply
- [MCP Server](https://docs.meshai.dev/getting-started/mcp-server.md): Governance and observability for Claude Desktop, VS Code, JetBrains, Cursor, Windsurf, Zed, Warp, and 10+ more tools
- [OpenTelemetry Ingestion](https://docs.meshai.dev/getting-started/opentelemetry.md): Send traces and metrics from any OTLP-compatible agent to MeshAI
- [Quick Start](https://docs.meshai.dev/getting-started/quickstart.md): Get monitoring in under 5 minutes
- [Attribute-Based Access Control (ABAC)](https://docs.meshai.dev/governance/abac.md): Assign owners to agents with granular permissions — control who can invoke, configure, and delete each agent
- [Agent Lifecycle Management](https://docs.meshai.dev/governance/agent-lifecycle.md): Set expiry dates, review schedules, and assign sponsors to enforce agent lifecycle governance
- [HITL Approvals](https://docs.meshai.dev/governance/approvals.md): Human-in-the-loop approval workflow for AI agent requests
- [Audit Trail](https://docs.meshai.dev/governance/audit-trail.md): Immutable audit log of every governance action — required by EU AI Act Article 12
- [EU AI Act Coverage](https://docs.meshai.dev/governance/eu-ai-act.md): Article-by-article mapping of EU AI Act requirements to MeshAI features
- [Fundamental Rights Impact Assessment](https://docs.meshai.dev/governance/fria.md): Article 27 FRIA — structured assessment of AI impact on fundamental rights
- [Incident Reporting](https://docs.meshai.dev/governance/incidents.md): EU AI Act Article 73 serious incident reporting with deadline tracking
- [Agent Kill Switch](https://docs.meshai.dev/governance/kill-switch.md): Instantly block any agent from making LLM requests — enforced in real-time at the proxy layer
- [PII Filter](https://docs.meshai.dev/governance/pii-filter.md): Detect and handle personally identifiable information in LLM responses with configurable block, redact, or allow modes
- [Policies](https://docs.meshai.dev/governance/policies.md): Create and manage governance policies enforced in real-time across all agents
- [Prompt Injection Detection](https://docs.meshai.dev/governance/prompt-injection.md): Detect and block prompt injection attacks at the proxy layer before they reach LLM providers
- [Shadow Agent Quarantine](https://docs.meshai.dev/governance/quarantine.md): Automatically quarantine unknown or suspicious agents and control their access through the proxy
- [Readiness Score](https://docs.meshai.dev/governance/readiness-score.md): 7-component compliance score (0–120) measuring EU AI Act readiness
- [Agent Relationship Graph](https://docs.meshai.dev/governance/relationships.md): Visualize agent dependencies — models, providers, and tools — auto-populated from proxy telemetry
- [Risk Classification](https://docs.meshai.dev/governance/risk-classification.md): EU AI Act risk levels for AI agents — classify, track, and govern
- [Security Posture Score](https://docs.meshai.dev/governance/security-posture.md): A 0-100 score measuring your organization's AI agent security posture across 6 dimensions
- [Provider Configuration](https://docs.meshai.dev/proxy/providers.md): Setup guides for each LLM provider
- [Proxy Setup](https://docs.meshai.dev/proxy/setup.md): Configure the MeshAI proxy for your agents
- [Agents](https://docs.meshai.dev/sdk-reference/agents.md): Register, list, update, and delete agents via the Python SDK
- [Anomalies](https://docs.meshai.dev/sdk-reference/anomalies.md): List, inspect, acknowledge, and resolve anomalies detected by MeshAI
- [Billing](https://docs.meshai.dev/sdk-reference/billing.md): Query billing information and usage via the SDK
- [MeshAI Client](https://docs.meshai.dev/sdk-reference/client.md): MeshAI class constructor and configuration reference
- [Compliance](https://docs.meshai.dev/sdk-reference/compliance.md): Readiness score, FRIA, transparency cards, and incident reporting
- [Cost Intelligence](https://docs.meshai.dev/sdk-reference/cost.md): Query token spend by agent, team, and model
- [Governance](https://docs.meshai.dev/sdk-reference/governance.md): Risk classification, policies, approvals, and audit trail via the SDK
- [Installation](https://docs.meshai.dev/sdk-reference/installation.md): Install the MeshAI Python SDK and configure optional dependencies
- [Telemetry](https://docs.meshai.dev/sdk-reference/telemetry.md): Heartbeats, usage tracking, and auto-tracking wrappers

## OpenAPI Specs

- [openapi](https://docs.meshai.dev/api-reference/openapi.json)