FluiqFluiq
  • ObservabilityTrace every call, cost, and latency
  • SecurityBlock attacks, redact PII and secrets
  • OptimizationCache repeated prompts automatically
  • EvaluationScore responses and whole agent runs
  • DatasetsGolden sets that capture whole agent runs
  • Prompt ManagementVersion and deploy prompt templates
  • AlertsPush eval and security events to Slack

LLM Providers

  • OpenAI
  • Anthropic
  • Google Gemini
  • Google Vertex AI

Agent Frameworks

  • LangChain
  • LangGraph
  • CrewAI
  • Google ADK
  • MCP

Vector Databases

  • Pinecone
  • Chroma
  • Weaviate
  • FAISS
  • Qdrant
14 integrations · zero wrappersView all
Pricing
  • Fluiq DocsGuides, concepts & SDK reference
  • Code SamplesCopy-paste integration snippets
  • LLM Cost CalculatorCompare OpenAI, Claude & Gemini pricing
Contact
LoginStart free
Prompt Management

Write, version, and deploy prompts like software

An IDE-style editor with variable injection, full version history, and per-environment deployment.

Start freeRead the docs
Fluiq/ prompts
+ New Prompt
Saved
Traces
customer-support
v3 · dev · stg · prod
query-rewriter
v1 · dev
classify-intent
v2 · dev · stg
customer-support
query-rewriter
You are a helpful assistant for {{company}}.

Answer the question clearly and concisely:

{{question}}

If you're unsure, say so rather than guessing.
v3
dev ✓staging ✓prod ✓
vsgpt-4oclaude-3.5

What you get

Templates

{{variable}} injection

Define slots in the editor and fill them at runtime through the SDK.

History

Version and restore

Save, browse, and roll back to any past version of a prompt instantly.

Deploy

Dev, staging, prod

Promote a prompt per environment and fetch the right snapshot at runtime.

Fetch the deployed prompt at runtime.

  • Edit and version templates in a dedicated editor
  • Promote per environment without a code change
  • Compare model outputs side by side on real traces
All plans
app.py
import fluiq

fluiq.instrument(api_key="fl_...")

p = fluiq.fetch_prompt("customer-support", env="production")
message = p.render(name="Ada", topic="billing")

# p.template, p.model, and p.version are all available

Part of the Fluiq platform

Compare plans
ObservabilityTrace every call, cost, and latency.ExploreSecurityBlock attacks, redact PII and secrets.ExploreOptimizationCache repeated prompts automatically.ExploreEvaluationScore responses and whole agent runs.ExploreDatasetsGolden sets that capture whole agent runs.ExploreAlertsPush eval and security events to Slack.Explore

Unlimited traces, always free.

Start on the free tier and turn on each pillar as your pipeline grows. No code changes required.

Start freeRead the docs
FluiqFluiq

Observe, protect, optimize, evaluate.

PlatformObservabilitySecurityOptimizationEvaluationDatasetsPrompt ManagementAlerts
CompanyIntegrationsPricingDocsCost CalculatorBlogContact
Comparevs LangSmithvs Langfusevs Heliconevs Braintrustvs Portkeyvs Lakera
IntegrationsOpenAIAnthropicLangChainCrewAIPineconeView all →