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Spend controls for Voice AI. Your agent's whole bill — telephony, STT, LLM, TTS, search — on one ledger, enforced before money moves. Inside Vapi, Retell & Bland, or fully BYOK.
Website · Docs · Dashboard · 𝕏 @FloeLabs
Start free. $3 Welcome Credit — 300 API credits on signup, no card required. Your agent makes its first paid call in minutes. Get started →
A voice call touches 7–20 vendors, each billing separately. Token and TTS usage varies every conversation, so true per-call cost only exists by joining usage data across providers after the call. A token router meters ~40% of the bill — the LLM slice — and is blind to the other 60%. On BYOK, platform dashboards report provider costs as $0.
Floe is that join, plus enforcement: per-call cost across every vendor, and caps applied before money moves where Floe is in the path — with a between-call circuit breaker everywhere else. Gateway overhead: 38ms p50 / ~180ms p99 on live keyless production traffic.
A single spoken turn spends across speech-to-text, an LLM, and text-to-speech. Same key, same task budget for all three — a token router only ever sees the middle step.
# 1 · Transcribe (Deepgram) — through the Floe proxy
curl -X POST https://credit-api.floelabs.xyz/v1/proxy/fetch \
-H "Authorization: Bearer $FLOE_API_KEY" \
-H "Content-Type: application/json" \
-H "X-Floe-Task-Id: call-8842" \
-d '{"url":"<DEEPGRAM_STT_ENDPOINT>","method":"POST","body":"{...audio...}"}'
# 2 · Reason (any LLM) — keyless: only your Floe key, same ledger
curl -X POST https://credit-api.floelabs.xyz/v1/chat/completions \
-H "Authorization: Bearer $FLOE_API_KEY" \
-H "Content-Type: application/json" \
-H "X-Floe-Task-Id: call-8842" \
-d '{"model":"openai/gpt-4o","messages":[{"role":"user","content":"Book Friday at 2pm."}]}'
# 3 · Speak (ElevenLabs) — through the Floe proxy
curl -X POST https://credit-api.floelabs.xyz/v1/proxy/fetch \
-H "Authorization: Bearer $FLOE_API_KEY" \
-H "Content-Type: application/json" \
-H "X-Floe-Task-Id: call-8842" \
-d '{"url":"<ELEVENLABS_TTS_ENDPOINT>","method":"POST","body":"{...text...}"}'All three legs share X-Floe-Task-Id, so one budget caps the whole conversation — STT, LLM, and TTS together, on one ledger. Each response returns its cost in X-Floe-Payment-Amount (e.g. 0.0125).
MCP (zero install) — add to Claude Code / Cursor / Claude Desktop:
claude mcp add --transport http floe https://mcp.floelabs.xyz/mcp \
--header "Authorization: Bearer YOUR_FLOE_KEY"Prefer an SDK? npm install floe-agent or pip install floe-agentkit-actions — see Repos.
1 · Inside your platform (Vapi / Retell / Bland). Documented hooks, zero platform cooperation:
Pre-call where we're in the path. Circuit breaker everywhere else. Setup → · Graduate to 100% coverage →
2 · BYOK. Keep your vendor accounts and keys — Floe meters, joins, and caps on top. Route just the LLM leg by changing the base URL and key:
from openai import OpenAI
client = OpenAI(
base_url="https://credit-api.floelabs.xyz/v1", # was https://api.openai.com/v1
api_key=os.environ["FLOE_API_KEY"], # your Floe key — not an OpenAI key
)
# every call now bills to your Floe balance, under your spend capsOpenAI-compatible, so it works from any SDK. → Add Floe to your existing pipeline
3 · Keyless. One Floe key, no per-vendor accounts, welcome credits. Fund by card; settlement is automatic. Best for prototypes and net-new agents.
| Category | Services |
|---|---|
| Compute | Venice AI · OpenAI · Anthropic · Google Gemini · z.ai · Kimi |
| Voice | Deepgram · ElevenLabs · Venice AI · Floe Phone via Twilio (live) |
| Image | Venice AI (generation, upscale, edit, background removal) |
| Web | Firecrawl (search + scrape) |
| Search | Exa · Parallel AI · Tavily |
| Browser | Hyperbrowser · Browserbase · Anchor Browser |
| Agent tools | AgentMail · Pinata · PostalForm |
| Framework | Status | How |
|---|---|---|
| Coinbase AgentKit | GA | Native — floeActionProvider |
| LangChain | GA | getLangChainTools adapter |
| Vercel AI SDK | GA | getVercelAITools adapter |
| Claude / Cursor | GA | floe-mcp-server |
| CrewAI | Beta | via MCP server |
| OpenAI Agents SDK | Preview | MCP fallback; native adapter in progress |
| Plain HTTP/REST | GA | anything that speaks HTTP |
| Repo | What it does | Install |
|---|---|---|
| agentkit-actions | TypeScript SDK — spend controls, metered vendor calls, agent awareness | npm install floe-agent |
| agentkit-actions-py | Python SDK — full parity | pip install floe-agentkit-actions |
| floe-guard | Local budget guardrail — hard-stops a runaway agent before it overspends | pip install floe-guard |
| floe-cookbook | Runnable end-to-end agents, including voice | git clone |
| floe-mcp-server | MCP server for Claude, Cursor, any MCP agent | Setup |
| eve-floe | Reference voice agent built on Floe | git clone |
Voice recipes (in floe-cookbook): vapi-custom-llm · retell-custom-llm · vapi-voice-metered
Built by operators from Airwallex, Western Union, eBay, Kado, Transak. hello@floelabs.xyz
Agents and demos for the Floe finops for voice builders, including 15 LLM model providers + 2,000+ vendor API services
The spend meter and budget gate for AI voice agents. Meters STT + TTS + LLM + telephony per call, out of the box (Pipecat, LiveKit — Python & TypeScript). Hard-stops the next turn before it crosses your ceiling. Local, no account, no telemetry. Built by Floe — cost controls for Voice AI.
Floe services for Pipecat — one Floe key for the LLM, STT, and TTS legs of a voice agent, metered per call with pre-call spend caps.
Agent skills for Floe — metered, budget-capped multi-vendor API access (LLM, STT, TTS, telephony, x402) through one key. For Claude Code, Cursor, and any Agent Skills client.
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