{"id":"samueltallet-alpine-llama-cpp-server","name":"alpine-llama-cpp-server","homepage":"https://hub.docker.com/r/samueltallet/alpine-llama-cpp-server","repo_url":"https://hub.docker.com/r/samueltallet/alpine-llama-cpp-server","category":"ai-ml","subcategories":[],"tags":["ai-ml","llm","llama.cpp","self-hosted","inference","docker","alpines"],"what_it_does":"A self-hosted server that runs LLaMA via llama.cpp (in an Alpine-based container/image), exposing an HTTP interface for text generation/chat. Intended to download/use local model files and serve inference requests.","use_cases":["Local/private LLM inference for a small app or prototype","Self-hosted chat/completions service using llama.cpp acceleration","Batching or lightweight internal workloads where cloud APIs are undesirable"],"not_for":["Turnkey managed hosting with autoscaling and guaranteed uptime","Enterprise governance/compliance programs requiring documented audit trails and SLAs","High-throughput production inference without capacity planning"],"best_when":"You want an on-prem/self-hosted LLM endpoint with minimal infrastructure, and you can manage models, hardware resources, and operational concerns yourself.","avoid_when":"You require strict authentication/authorization controls, detailed API contracts (OpenAPI/SDKs), and documented operational guarantees out of the box.","alternatives":["llama.cpp server (official or community Docker images)","text-generation-inference (TGI) or vLLM (for broader production features)","Ollama (simplified local model serving with an HTTP API)","OpenAI-compatible inference servers backed by llama.cpp"],"af_score":32.2,"security_score":34.8,"reliability_score":27.5,"package_type":"mcp_server","discovery_source":["docker_mcp"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T19:53:35.582909+00:00","interface":{"has_rest_api":true,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No explicit auth method/requirements were provided in the supplied package information. Many self-hosted LLM servers either run without auth or rely on reverse-proxy/WAF for access control; treat as unknown until verified."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Self-hosted open-source style package; costs depend on your hardware, storage for model weights, and network usage."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":32.2,"security_score":34.8,"reliability_score":27.5,"mcp_server_quality":0.0,"documentation_accuracy":35.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":50.0,"rate_limit_clarity":0.0,"tls_enforcement":60.0,"auth_strength":30.0,"scope_granularity":0.0,"dependency_hygiene":35.0,"secret_handling":50.0,"security_notes":"Security posture cannot be confirmed from the provided prompt. As a self-hosted inference server, TLS and authentication are often handled externally (reverse proxy) rather than by the app itself; verify whether the server supports HTTPS, auth, and safe request logging (no prompt/model leakage). Also validate container dependencies/CVEs if used in production.","uptime_documented":0.0,"version_stability":40.0,"breaking_changes_history":40.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":"Generation endpoints are typically non-idempotent (streaming/varied sampling). No idempotency guarantees were documented in the provided info.","pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Streaming responses may require special handling (token/event parsing) if supported.","Without explicit auth/rate limits in the server itself, requests may be vulnerable to abuse unless protected by a reverse proxy.","Model loading time and memory pressure can cause transient failures; agents should expect cold-start behavior."]}}