Inference economics
DeepSeek Agent Patterns for SQL Investigation and Data Repair
Explore DeepSeek Agent Patterns for SQL Investigation and Data Repair, including bounded workflows, SQL validation, deployment options, and recovery controls.
AI model and infrastructure insights
Insights, page 68 of 95
Inference economics
Evaluating Kimi K3 on Multi-Document Due Diligence Tasks
A practical guide to evaluating Kimi K3 on multi-document due diligence tasks, including evidence quality, review effort, security, performance, and inference cost.
Inference economics
How GLM 5.3 Can Coordinate Parallel Tool Calls Without Losing State
Explore how GLM 5.3 can coordinate parallel tool calls without losing state, what to verify, and how Token Forge Cloud supports inference deployment.
Inference economics
Evaluating Seedance 2.5 on Camera-Controlled Product Videos
Evaluate Seedance 2.5 for camera-controlled product videos across camera adherence, product fidelity, workflow fit, security, rights, and cost.
Inference economics
Evaluating Qwen 3.8 Agents on Screenshot-Guided Browser Tasks
Explore a practical framework for evaluating Qwen 3.8 agents on screenshot-guided browser tasks, including reliability, safety, workload, and deployment considerations.
Inference economics
Evaluating DeepSeek Agents on Multi-File Software Maintenance
Evaluate DeepSeek coding agents on multi-file software maintenance with representative repository tasks, repeatable trials, security controls, and deployment criteria.
Inference economics
Benchmarking GLM 5.3 Agents for Repository-Wide Code Refactoring
Explore how to benchmark GLM 5.3 agents for repository-wide code refactoring across correctness, maintainability, review effort, operations, and cost.
Inference economics
Building a MiniMax H3 Agent for Campaign Storyboarding
Explore Building a MiniMax H3 Agent for Campaign Storyboarding, including workflow design, review controls, evaluation, and deployment considerations.
Inference economics
Building a Qwen 3.8 Agent for Visual Quality Assurance
Building a Qwen 3.8 Agent for Visual Quality Assurance: define the workflow, evaluate model fit, and plan deployment with Token Forge Cloud.
Inference economics
Building a DeepSeek Agent for Automated Root-Cause Analysis
Explore how to build a DeepSeek agent for automated root-cause analysis, including architecture, tool guardrails, evaluation, deployment, and adoption.
Inference economics
Building a Kimi K3 Research Agent for Large Document Collections
Explore how to build a Kimi K3 research agent for large document collections, including retrieval, citations, permissions, evaluation, and serving.
Inference economics
Designing a GLM 5.3 Agent Workflow for Multi-Step Enterprise Approvals
Design a GLM 5.3 agent workflow for multi-step enterprise approvals with explicit states, policy checks, human authorization, and controlled execution.
Inference economics
Why RPM Can Misrepresent AI API Capacity When Prompt Lengths Vary
Learn why RPM can misrepresent AI API capacity when prompt lengths vary dramatically, and which workload, throughput, concurrency, and latency metrics to evaluate.
Inference economics
Which Metrics Indicate That an AI Platform Is Operating Safely at Enterprise Scale?
Explore the governance, latency, usage, and wallet metrics that help teams assess whether an AI platform is operating safely at enterprise scale.
Inference economics
Admission-Control Rules for High-Cost Asynchronous AI Workloads
Explore what admission-control rules should apply when a high-cost asynchronous workload would consume most of an organization
Inference economics
How to Record Agent Moderation Decisions Without Retaining Unnecessary User Content
Learn how to record moderation and safety decisions in an agent audit trail while minimizing unnecessary user-content retention, and what to evaluate in agent infrastructure.
Inference economics
How should tenant-specific model eligibility rules be enforced inside autonomous agent planning?
Learn how to enforce tenant-specific model eligibility rules in autonomous agent planning with trusted context, constrained planning, and execution-time authorization.
Inference economics
Billing Controls for Offline AI Jobs That Continue After User Logout
Learn which billing controls help govern offline AI jobs that continue running after user logout, including ownership, budgets, limits, metering, alerts, and audits.
Inference economics
How to Enforce Per-Task Budgets and a Global Spend Ceiling for Batch Agent Jobs
Learn how to enforce per-task budgets and a global job-level spend ceiling for batch agent workloads, including reservations, settlement, and cost reconciliation.
Inference economics
When Should Expensive Image or Video Generation Require Human Approval?
Learn when expensive image or video generation should require explicit human approval before reserved credits are spent and how to design practical approval controls.
Inference economics
How Should an Agent Account for Verification Cost Before Escalating to a More Expensive Model?
Learn how agents can compare verification, escalation, operational, and outcome costs before routing a request to a more expensive model.
Inference economics
How to Allocate Deadlines Across an Agent Workflow
Learn how to allocate per-step deadlines across planning, tool execution, model calls, and verification in an agent workflow using practical budgeting guidance.
Inference economics
What Controls Are Needed for Persistent Agent Memory Beyond a Single API Request?
Explore lifecycle controls for persistent agent memory, including authorization, isolation, provenance, retrieval, retention, deletion, monitoring, and testing.
Inference economics
How Should Shared Prompt Caches Be Governed Across Agents and Workspaces?
How should shared prompt caches be governed when several agents or workspaces reuse common context? Explore scope, authorization, lifecycle, and monitoring practices.