Solutions
Production-grade solutions that turn our open-source packages into deployable AI systems for specific business problems. Pick one, follow the DIY tutorial to see how it's done, download the examples and deploy them on your own infrastructure — for free — or tell us which ones you want customized and deployed.
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14 solutions · page 1 of 2
vllm-observability-suite-for-smb-ai-operations
Small businesses running vLLM for AI inference struggle to monitor token usage, latency, and cost across multiple agents, leading to overspend and undetected performance regressions.Prebuilt observability stack with OpenTelemetry traces and dashboards for any AI agent using vLLM as the inference backend.
ollama-ai-observability-with-cost-allocation-for-smbs
On-prem LLM deployments lack visibility: IT teams can't tell which departments are consuming tokens, how much each call costs in terms of compute or proxy fees, or where bottlenecks occur. Without observability, they can't optimize or perform internal chargebacks.Gain OpenTelemetry tracing and per-department cost attribution for your Ollama LLM deployments running on-prem or at the edge.
xai-grok-security-guardrails-for-multi-tenant-smb-chat
SMB SaaS platforms deploying AI chat features across multiple customer tenants risk exposing PII, generating harmful content, or violating compliance policies. A single guardrail layer per tenant is complex to implement and maintain without a composable, configurable safety stack.Enforce PII redaction, content safety policies, and per-tenant guardrails on every xAI Grok-powered chatbot interaction for multi-tenant SaaS.
cohere-llm-cost-observability-for-smb-support-agents
Small businesses running Cohere-powered support bots have no per-call cost visibility; a single verbose handling loop can silently triple the monthly bill.Wrap every Cohere API call with cost telemetry and OTel spans so SMBs can see exactly where their LLM budget goes and stop cost overruns.
vercel-ai-gateway-observability-for-smb-ai-agent-operations
Small businesses deploying AI agents on multiple models through Vercel AI Gateway lack visibility into token consumption, latency, and failure rates across providers. Without centralized monitoring, they cannot pinpoint cost spikes, detect degradation, or enforce budgets, leading to runaway bills and unreliable customer experiences.Unified OpenTelemetry tracing, cost tracking, and performance alerts for every LLM call routed through Vercel AI Gateway.
azure-ai-lead-intake-for-calendly-smb-lead-qualification
Small businesses lose leads because visitors abandon long contact forms or get no immediate response. Salespeople waste time on unqualified meetings while hot leads sit idle.An embedded chatbot that qualifies website visitors through a natural conversation and books a Calendly meeting when they are sales‑ready.
databricks-mcp-server-for-smb-data-analytics
SMBs using Databricks for business intelligence struggle to let AI agents interact with their data safely—each customer needs isolated access, rate limits, and audit trails, which are complex to build from scratch.Expose Databricks SQL queries as secure, multi-tenant MCP tools for AI agents, with built-in auth, rate limiting, and observability.
anthropic-llm-observability-for-smb-ai-operations
Small businesses using Anthropic's Claude models for customer support or content generation lack visibility into token spend, latency patterns, and sudden error rate changes. Without integrated observability, they overspend and cannot diagnose issues before customers complain.Drop-in OpenTelemetry instrumentation that gives SMBs real-time cost, latency, and error insights across all Anthropic API calls, plus pre-built dashboards for Langfuse and Phoenix.
xai-grok-observability-for-smb-ai-workflow-monitoring
SMBs integrating Grok into their workflows lack visibility into how often the model is called, what it costs, and when it fails. Without monitoring, they risk overspending and missing performance degradations.Single-pane monitoring for token usage, latency, errors, and cost across all Grok-powered features in your SMB app.
azure-ai-reliability-suite-for-smb-ai-operations
Small businesses running AI agents on Azure often face unpredictable outages, silent failures, and runaway costs without dedicated SRE teams to monitor, alert, and recover.Proactive incident detection, self-healing, and cost-aware failure recovery for SMB AI agent operations, powered by Azure AI.
langchain-observability-for-smb-ai-workflow-monitoring
SMBs adopting LangChain for multi‑step LLM workflows have no built‑in way to see where latency piles up, which chain step costs the most, or why a particular prompt is bleeding tokens. They either fly blind or pay for a separate SaaS with complex setup.Plug‑and‑play tracing and cost observability for LangChain‑based pipelines, built on REAA’s open‑source instrumentation stack.
anthropic-ai-spend-tracker-for-smb-agent-workflows
Small businesses deploying multiple AI agents on Anthropic lack visibility into per-agent spend, leading to unexpected bills and uncontrolled cost scaling as agent usage grows.Monitor and control Anthropic API costs across your AI agents with real-time dashboards and per-agent budget enforcement.