Fluiq
detect prompt injection, PII, Crescendo attack 2 line of Python
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What is Fluiq?
Fluiq is the AI Ops stack for production LLM apps and AI agents. It provides automatic tracing, security scanning, response caching, cost tracking, and latency monitoring with just two lines of Python code added to your existing codebase. The platform gives AI engineers complete visibility into every agent step, breaking down costs and latency per step without requiring manual instrumentation or custom logging.
Key features include automatic tracing of every agent node, security scanning to detect prompt injection, PII leaks, and Crescendo attacks, response caching to reduce costs, waterfall timelines showing every LLM call and tool use, per-step cost and latency breakdowns, policy enforcement for spend limits and access controls, budget alerts, and conflict detection across agent fleets. It works out of the box with LangGraph, Google ADK, CrewAI, LangChain, AutoGen, OpenAI, Anthropic, Google, and any OpenAI-compatible API.
Fluiq is designed for AI engineers and teams shipping AI agents and LLM apps in production. It is ideal for teams running agent fleets who need observability, cost control, security governance, and a single pane of glass to monitor every agent's status, actions, resource usage, and health across multiple frameworks.
Fluiq pricing
Pricing model: Freemium
Free: $0/mo - 5 agents, 10K events/day, 7-day retention, community support. Pro: $49/mo - 20 agents, 100K events/day, 90-day retention, policy engine, budget alerts, priority support. Team: $149/mo - unlimited agents, unlimited events, 1-year retention, audit trail, SSO & RBAC, SLA guarantee. All plans include SSL, SOC 2 compliance, and 99.9% uptime SLA. No credit card required for free tier.
Fluiq pros
- Automatic tracing with just 2 lines of Python
- No manual instrumentation required
- No code changes needed beyond 2 lines
- Detects prompt injection attacks automatically
- Detects PII leaks in prompts and responses
- Detects Crescendo attacks
- Per-step cost breakdown attribution
- Per-step latency monitoring
- Response caching to reduce API costs
- Waterfall timelines for every LLM call
- Works with LangGraph out of the box
- Works with Google ADK out of the box
- Works with CrewAI out of the box
- Works with LangChain out of the box
- Budget alerts to prevent overspending
- Policy engine for spend limits and access controls
- Conflict detection across agent fleets
- Single dashboard for entire agent fleet
- 7-day retention on free tier
- SOC 2 compliance included
- 99.9% uptime SLA included
- Real-time cost tracking
- Token usage tracking per event
- Tool use tracking and visualization
Fluiq cons
- Free tier limited to 5 agents
- Free tier only 10K events per day
- Free tier has only 7-day retention
- Pro tier capped at 20 agents
- Pro tier limited to 100K events/day
- No Enterprise tier publicly listed
- Policy engine only on Pro tier and above
- SSO and RBAC only on Team tier
- Audit trail only on Team tier
- 1-year retention only on Team tier
- No on-premise deployment option
- No self-hosted version available
- SDK primarily Python-focused
- Limited third-party integrations documented
- No mobile app for monitoring
Frequently asked questions about Fluiq
What is Fluiq?
Fluiq is the AI Ops stack for production LLM apps and AI agents. It provides automatic tracing, security scanning, response caching, cost tracking, and latency monitoring with just two lines of Python code. It gives AI engineers complete visibility into every agent step without manual instrumentation.
How do I set up Fluiq?
Setup takes about 2 minutes with just 2 lines of Python added to your existing code. No SDK installation required, no agents to install, and no complex setup. You can also point your agents at the proxy with one environment variable change.
What frameworks does Fluiq support?
Fluiq works out of the box with LangGraph, Google ADK, CrewAI, LangChain, AutoGen, OpenAI, Anthropic, Google, Claude Code, Codex, and any OpenAI-compatible API. No framework-specific instrumentation is needed.
What security threats does Fluiq detect?
Fluiq automatically detects prompt injection attacks, PII leaks, and Crescendo attacks. It scans every LLM call for these security threats and flags or blocks non-compliant events before they cause damage.
How does cost tracking work?
Fluiq breaks down costs per step and per agent, showing token counts and dollar costs for every LLM call and tool use. You can see exactly how much each agent node costs, track aggregate spend trends, and set budget alerts to prevent overspending.
What is the free tier limit?
The free tier includes 5 agents, 10K events per day, 7-day data retention, and community support. No credit card is required to start using the free tier.
Can I enforce policies on agent behavior?
Yes, the policy engine on Pro and Team plans lets you define fleet-wide policies including allowed tools, allowed models, cost limits, and operating hours. Fluiq enforces these at ingestion time, flagging or blocking non-compliant events.
What is conflict detection?
Conflict detection catches when multiple agents try to update the same resource simultaneously. Fluiq visualizes agent interaction patterns and lets you configure resolution strategies like queue, reject, alert, or first-writer-wins.
How long is data retained?
Data retention depends on your plan: 7 days on Free, 90 days on Pro, and 1 year on Team. This includes all traces, costs, tool calls, and token usage data.
What compliance standards does Fluiq meet?
All Fluiq plans include SSL encryption, SOC 2 compliance, and a 99.9% uptime SLA. Team plan additionally includes audit trail, SSO, RBAC, and SLA guarantee for enterprise requirements.