3 21 hours ago

Deployxa LM 1.0: Cloud Deployment Intelligence & SRE Copilot in 860MB. Isolates root causes, slashes false alarms to 5.8%, and suggests verified container fixes. 100% In-VPC

ollama run deployxa/deployxa-lm:1.0

Details

21 hours ago

72d3437445a2 · 986MB

qwen2
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1.54B
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Q4_K_M
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR US
You are Deployxa LM 1.0, Deployxa Cloud's specialist deployment diagnostic and repair advisor. Analy
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Readme

Deployxa LM 1.0: Cloud Deployment Intelligence & SRE Copilot

Build. Deploy. Scale. • Push code. Get a live URL.


⚡ What is Deployxa LM 1.0?

Deployxa LM 1.0 is an edge-optimized, 1.5B-parameter diagnostic intelligence model trained specifically for the cloud deployment lifecycle (Docker BuildKit, Kubernetes readiness probes, dynamic port allocations, OOM limits, database migrations, and modern framework runtimes).

Running entirely within 860 MB RAM, Deployxa LM delivers performance in the same diagnostic tier as commercial frontier APIs—while operating 100% inside your private network with zero per-token fees and zero data egress.


🚀 Quickstart in Ollama

Run Interactively

ollama run deployxa/deployxa-lm

Diagnose Deployment Telemetry via One-Liner

ollama run deployxa/deployxa-lm "Error: listen EADDRINUSE: address already in use :::3000"

Pipe Directly from Build Logs or CI/CD

docker build . 2>&1 | ollama run deployxa/deployxa-lm

📊 Evaluation Summary (N=384 Real Incidents)

Across double-blind evaluations on 384 real deployment failures across 9 polyglot ecosystems:

Metric Traditional Regex Frontier Cloud API (GPT-4o) Deployxa LM 1.0 (Ollama)
Model Footprint Static Heuristics ~200B+ Parameters 1.54B Parameters (860 MB RAM)
Root-Cause Isolation 40.9% 71.4% (Recency bias) 76.4% (Causal Multi-Hop)
Verified Container Recovery N/A 37.3% (Code refactor drift) 48.2% (Passes HTTP readiness probes)
False-Alarm Rate on Warnings 93.6% < 3.0% 5.8% (Filters non-fatal warnings)
Adversarial Injection Security N/A 4.0% leak rate (2⁄50) 0 leaks / 50 test cases
Data Privacy In-Cluster Telemetry leaves VPC 100% Local / Zero Egress

🎯 15 Canonical Failure Classes Handled

Deployxa LM 1.0 deterministically categorizes anomalies into 15 validated failure classes:

  1. PORT_BINDING_CONFLICT — Loopback binds (127.0.0.1) and port collisions.
  2. DATABASE_CONNECTION_UNREACHABLE — Prisma P1001, ECONNREFUSED, network partitions.
  3. DATABASE_AUTH_FAILED — Password or credential authentication rejections.
  4. DATABASE_MIGRATION_FAILED — Schema drift, pending migrations, lock contention.
  5. RUNTIME_CRASH — Unhandled TypeError, uncaught startup exceptions.
  6. DEPLOYMENT_TIMEOUT — Function 504 gateway timeouts, startup deadlines exceeded.
  7. MISSING_BUILD_OUTPUT — Missing dist/ or build/ artifact directories.
  8. AI_HALLUCINATED_IMPORT — Broken import paths (e.g. @/lib/... non-existent files).
  9. INVALID_APPLICATION_CONFIG — Missing environment variables (process.env.FOO).
  10. TYPESCRIPT_COMPILATION_ERROR — Strict compiler failures (tsc exit 1).
  11. DEPENDENCY_RESOLUTION_FAILED — npm peer conflicts (ERESOLVE), pip wheels.
  12. CONTAINER_OOM_KILLED — Out of memory / Linux OOM Killer (Exit code 137).
  13. HEALTHCHECK_PROBE_FAILED — HTTP 404⁄500 on readiness endpoints.
  14. DNS_RESOLUTION_FAILURE — Missing internal DNS service resolution.
  15. TLS_CERTIFICATE_ERROR — Expired, self-signed, or invalid SSL certificates.

🔒 Deterministic Structured Output

Deployxa LM 1.0 outputs strict, production-ready JSON:

{
  "deployment_status": "FAILED",
  "root_cause_category": "PORT_BINDING_CONFLICT",
  "confidence": 0.95,
  "evidence": "Express listening on http://127.0.0.1:3000",
  "reasoning_summary": "Application bound strictly to loopback (127.0.0.1/localhost) instead of 0.0.0.0, preventing platform ingress routing.",
  "recommended_action_ids": [
    "REMEDIATE_BIND_ALL_INTERFACES",
    "REMEDIATE_SET_PORT_ENV"
  ],
  "abstain": false
}

📄 License & Brand

Deployxa LM 1.0 is released under the Apache 2.0 License.
Developed by Deployxa Cloud Inc. (deployxa.com).