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Function Calling is how an Agent affects the real world, but several engineering gates separate “the model wants to call a tool” from reliable completion. This article explains the mechanism, parallel and multi-round calls, argument validation, error recovery, and its relationship with MCP, taking function calling from working to production-ready.
`modelPreferences` does not specify a model, and Sampling results should not reach the Server without review. This article freezes the routing policy, actual model, tool loop, and two-stage request/result consent into a single delivery receipt.
APIs are convenient, but compliance, cost, offline operation, and customization can require self-hosting. This guide compares Ollama for local experiments and personal development with vLLM for high-throughput production inference, then covers quantization, VRAM, hardware selection, and when to use an API instead.
Model providers may partially time out, rate-limit requests, or silently degrade quality. This article covers incident declaration criteria, UTC evidence timelines, isolation matrices, Prometheus queries, fallback thresholds, and recovery validation.
A new model version cannot be released based on container health alone. This article designs a model-serving rollout process spanning offline gates, shadow requests, staged canaries, and automatic rollback, while addressing caches, sessions, and GPU warm-up.
After multiple agents return results, concatenation or voting loses evidence and applicability conditions. This article designs candidate-result lineage, deterministic conflict classification, arbitration records, and atomic publication so merged conclusions can be recomputed and revoked.
Dynamically loading multiple LoRA adapters onto one base model saves GPU capacity but introduces artifact substitution, cache contamination, and cross-tenant mix-up risks. This article designs trusted registration, resource limits, batching isolation, and per-adapter rollback.
Major foundation models now support images natively, turning image understanding from a toy into a product capability. This article explains Vision strengths, typical use cases (document parsing, support, moderation, accessibility), and engineering essentials: image token costs, preprocessing, prompt design, limitations, and pitfalls, so you can decide when
A platform-wide KMS key proves only that data is encrypted; it cannot prevent cross-tenant substitution or unintended decryption. This article designs tenant key hierarchies, context binding, caching, and recovery validation.
A higher hit rate does not prove cache correctness. This article defines scopes, content identity, authorization epochs, hit revalidation, and cross-tenant negative tests for managed and self-hosted prefix caches.
A successful upload does not mean media can be sent directly to a model. This article defines contracts for image, audio, and video probing, decoding, limits, orientation and color correction, normalization manifests, and version rollback.
Offline scores can rise while online satisfaction falls because of population shifts, delayed labels, fallbacks, or multiple component upgrades. This article freezes exposures, complete runtime bundles, label watermarks, and attribution windows into evidence that can be corrected but not rewritten.