Developer observability for local LLMs, microservices, APIs, and full-stack apps. Laptop-native. Privacy-first. Offline-capable. Tell us about your stack and we will help you evaluate fit.
Engineer-led evaluation. We review your stack, confirm fit, and guide the rollout path.
You ship to staging. Then you find out what broke. Sound familiar?
You cannot observe LLM calls, microservices, or API requests locally. “Works on my machine” is a guess, not a fact. Your local dev environment gives you zero visibility into what your code actually does at runtime.
“I can’t see what my LLM calls are doing until I ship to staging.”
See how SquareShift Compass solves thisDeploy to staging. Wait. Check logs. Find the issue. Fix it. Redeploy. That is your feedback loop — 30+ minutes for a 2-line change. You are spending more time waiting than building.
“I spend 20 minutes deploying to staging just to test a 2-line change.”
See how evaluation worksCloud-based APM sends your telemetry offsite. Your LLM traces include sensitive prompts, customer data, PII. Compliance blocked your observability tool request. You are stuck without visibility because your current options cannot stay local.
“Privacy matters — I don’t want my LLM prompts sent to third-party APM vendors.”
See privacy architectureLocal observability that does not slow you down.
All traces stay on your laptop. No cloud calls. No third-party APIs. No data exfiltration. SquareShift Compass runs a local collector and dashboard — your telemetry never touches an external server.
Compliance-friendly for sensitive workloads. Your LLM prompts, customer data, and PII stay where they belong — on your machine. No vendor access. No audit headaches.
“Monitor LLM calls to Claude and GPT without sending traces to third-party APM. Compliance approved it in one day.”
Async instrumentation adds less than 50ms to your request lifecycle. SquareShift Compass hooks into your framework at the middleware layer and collects traces without blocking your application threads.
Your dev loop stays fast. No perceptible slowdown. No “observability tax” on local performance. You get visibility without sacrificing the speed you depend on.
“Add observability to a local Flask API without adding 200ms to every request. Most developers do not notice any slowdown.”
SquareShift Compass auto-instruments Flask, FastAPI, Django, Express, Next.js, and more. Once we review your stack, we guide your team through the fastest evaluation path with minimal setup overhead.
You get first value quickly without a long procurement loop or a week of platform prep. We help you validate fit, supported frameworks, and rollout approach before your team commits.
“We shared our stack, got a walkthrough, and knew exactly how Compass would fit our dev workflow before we started.”
Observe OpenAI, Anthropic, and Ollama calls. Trace Docker containers, local APIs, Redis, Postgres. See the full request path — from your API gateway through your LLM provider and back — all on localhost.
Modern dev stacks are not just HTTP requests. You are building with LLMs, running microservices in Docker, querying multiple databases. SquareShift Compass sees all of it. Not just the web layer.
“See LLM prompt, retrieval, response flow for local RAG development. Track cost per call, latency per provider, tokens per request.”
Engineer-led access, framework-fit review, and a rollout path that matches your local development workflow.
Tell us which frameworks, LLM providers, local services, and security constraints matter to your team. We use that context to shape the right Compass evaluation path.
Flask, FastAPI, Django, Express, Next.js, OpenAI, Anthropic, LangChain, Redis, Postgres, and more.
Tell Us About Your StackWe confirm framework support, local workflow fit, and any privacy or offline requirements. That gives your team a clear view of what Compass will cover before you invest time.
Auto-instrumentation coverage, local topology visibility, privacy requirements, and rollout expectations.
Review Supported FrameworksOnce fit is confirmed, we guide your team through an evaluation focused on local traces, service topology, LLM visibility, and the workflows you care about most.
Privacy-first, offline-capable, and shaped around the way your engineers already build.
Request a Compass WalkthroughReal dashboard. Real traces. Real developer productivity.
Teams use Compass to shorten the path from local uncertainty to confident release decisions.
“SquareShift Compass cut my local dev feedback loop from 20 minutes to 2 minutes. I see LLM calls, API latency, DB queries — all without leaving my laptop. I do not know how I built without this.”
“Privacy-first observability was non-negotiable for us. SquareShift Compass runs locally, zero data exfiltration. Compliance approved it in one day. That never happens with observability tools.”
“My team adopted SquareShift Compass in one sprint. The evaluation was clear, the rollout matched our stack, and every engineer could observe their code before merging. Release confidence went through the roof.”
Compass is positioned for serious engineering teams that want local developer observability without guesswork.
Tell us about your stack and we will show you the right Compass evaluation path.
Team dashboards, persistent storage, and dedicated support once your evaluation proves the fit.
Shared observability across 5-50 engineers. Cross-team trace aggregation. See what your entire engineering org is observing — not just your own laptop.
Available as part of team rollout planningRetain traces for 90 days (vs. 14-day local storage on free tier). Export to Elasticsearch or S3 for long-term analysis. Audit trails for compliance teams.
Scoped with your evaluation planRun SquareShift Compass on your own infrastructure. Air-gapped environments. Data residency compliance. Your telemetry stays in your data center.
Available for security-sensitive environmentsSlack and Teams integration. Dedicated support engineer. 24-hour response SLA. Priority bug fixes. Direct access to the engineering team that builds SquareShift Compass.
Included with enterprise rollout support24-hour response SLA. Guided rollout planning. Deployment options matched to your environment.
SquareShift Compass adds less than 50ms overhead via async instrumentation. The collector runs in a separate process. Your application threads are not blocked. Most developers do not notice any slowdown.
If you need even less overhead, disable auto-instrumentation and manually instrument only the code paths you care about.
View benchmark testsMost teams can begin a guided evaluation quickly once we review the stack and confirm fit. We tailor the evaluation path to your frameworks, local workflow, and privacy requirements.
Compass is a fit for Flask, FastAPI, Django, Express, Next.js, OpenAI, Anthropic, Redis, Postgres, and other OpenTelemetry-friendly environments.
View quick-start guideNowhere. All traces stay on your laptop. SquareShift Compass runs a local collector and dashboard. Zero external API calls. Zero cloud dependencies. Zero data exfiltration.
Your LLM prompts, API payloads, database queries, and trace data never leave your machine. There is no phone-home, no telemetry upload, no “anonymous usage data” sent to our servers. If you are offline, SquareShift Compass works exactly the same.
View privacy architectureYes. 100% offline-capable. No internet connection required. No VPN. No cloud login. SquareShift Compass runs entirely on your local machine.
Trace your code on an airplane. Debug in a coffee shop without Wi-Fi. Work in an air-gapped environment. SquareShift Compass does not need the network for any core functionality.
View offline mode documentationAuto-instrumentation is available for:
Web Frameworks: Flask, FastAPI, Django, Express, Next.js
LLM Providers: OpenAI, Anthropic, Ollama, LangChain
Databases: PostgreSQL, MySQL, Redis, MongoDB
Infrastructure: Docker, Docker Compose
For frameworks not on this list, manual instrumentation is available via the OpenTelemetry SDK. SquareShift Compass is built on OpenTelemetry standards, so any OTel-compatible library works.
View full supported frameworks listYes. SquareShift Compass auto-instruments the OpenAI Python SDK, Anthropic Python SDK, Ollama, and LangChain. You see:
All data stays local. Your prompts are never sent to our servers or any third party.
View LLM observability guideStill have questions? Tell us about your environment.
The fastest path is a short intake. We review your stack, align on fit, and guide the right evaluation approach.
Flask, FastAPI, Django, Express, Next.js, Docker-based microservices, and local APIs.
Tell us how your developers work today and we will show you how Compass fits into that loop.
Tell Us About Your StackOpenAI, Anthropic, Ollama, LangChain, retrieval layers, and prompt-heavy development workflows.
We will focus the evaluation on local traces, token usage, latency, and the places your team loses visibility today.
Request a WalkthroughPrivacy-first workflows, offline requirements, local-only traces, and controlled rollout expectations.
If your team cannot send traces to third-party services, we will shape the Compass evaluation around those constraints.
Discuss Evaluation RequirementsPrefer a structured rollout plan? Share your stack and we will recommend the right Compass evaluation path for your team.
Tell us about your stack and we will guide the right evaluation path for your team.
Engineer-led evaluation. Privacy-first architecture. Local workflow fit review.