cadre-ai

Cadre-AI is a voice-controlled AI agent that streams audio via WebSockets to a FastAPI server, uses Gemini Live for real-time speech and tool orchestration, and executes actions through MCP toolsets (financial data, web search/weather, and optionally Revit integration via a named-pipe proxy). It supports a local mode (including Revit when enabled) and a Cloud Run mode (Revit disabled).

Evaluated Mar 30, 2026 (22d ago)
Homepage ↗ Repo ↗ Ai Ml ai-agents voice bim revit mcp fastapi websockets cloud-run
⚙ Agent Friendliness
40
/ 100
Can an agent use this?
🔒 Security
47
/ 100
Is it safe for agents?
⚡ Reliability
22
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
55
Documentation
45
Error Messages
0
Auth Simplicity
55
Rate Limits
10

🔒 Security

TLS Enforcement
85
Auth Strength
35
Scope Granularity
10
Dep. Hygiene
40
Secret Handling
65

README indicates HTTPS usage for local UI (self-signed certs) and a Cloud Run deployment, but does not describe authentication/authorization for the WebSocket endpoint or tool execution. Service access may be broad if Cloud Run is deployed with --allow-unauthenticated. Secrets are provided via environment variables, but there is no documented guarantee that logs never include them. Tool execution (including Revit modifications when enabled) increases the impact of misuse; guardrails and least-privilege controls are not documented.

⚡ Reliability

Uptime/SLA
0
Version Stability
35
Breaking Changes
30
Error Recovery
25
AF Security Reliability

Best When

You want a prototype-to-pilot voice agent that can orchestrate BIM + financial + web tools, especially where local Revit integration is acceptable and you can control the deployment environment.

Avoid When

You need strict rate-limit guarantees, strong operational reliability documentation (SLA, retry/idempotency guarantees), or you cannot safely manage access to a tool-executing voice server that can potentially trigger model modifications.

Use Cases

  • Voice-driven BIM queries (e.g., levels, rooms, walls, doors/windows, sheets)
  • Voice-driven BIM edits/creation (e.g., create walls/doors/windows/rooms, place views on sheets)
  • QA/QC and compliance checks on building models via tool execution
  • Financial analysis and portfolio/risk assistance via MCP toolsets and market/news data
  • Voice search and weather/code/material lookup for building-related planning

Not For

  • Hard real-time safety-critical control where human confirmation is required
  • Production deployments needing a well-defined public API contract with strong backward-compat guarantees
  • Environments that require strict compliance certifications where the security posture of the deployment is not documented

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: Google API key via GOOGLE_API_KEY for Gemini Cloud Run IAM / allow-unauthenticated indicates deploy-time access control (per README command)
OAuth: No Scopes: No

Auth for tool execution and the WebSocket server is not clearly described in the README. Cloud Run example uses --allow-unauthenticated, which may expose the service unless constrained by network/IAM elsewhere.

Pricing

Model: gemini-2.5-flash-native-audio-latest (voice) / gem
Free tier: No
Requires CC: No

Pricing is not described in the README; costs likely depend on Gemini API usage and any upstream data providers (Finnhub/Alpha Vantage/FRED/Google CSE), if enabled.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Voice-to-tool systems may execute irreversible BIM actions; ensure you add confirmation/guardrails at the agent/tool layer.
  • Revit integration is disabled in cloud mode (REVIT_ENABLED=false), so tool availability differs by deployment.
  • MCP tools are executed via stdio subprocesses; orchestration can be brittle without clear timeout/crash recovery behavior.

Alternatives

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Scores are editorial opinions as of 2026-03-30.

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