Agent APIs
Build reliable APIs and interfaces for agents that need to take actions.
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AI Agent API Versioning: How to Survive Changing Provider Contracts
External providers change response formats, endpoints, limits, and authentication rules.
AI Agent API Gateway Architecture for Production Workflows
A dedicated gateway can become the enforcement point between an agent and external services.
AI Agent API Design: Building Safe Interfaces for External Services
External APIs give agents useful capabilities, but every endpoint expands the agent's authority and failure surface.
AI Agent External API Data Filtering: How to Limit What Agents Can See
An external API may return far more data than an agent needs.
AI Agent API Rate Limits: How to Control Cost and Abuse
Agents can generate bursts of API traffic that ordinary request patterns never produce.
AI Agent API Failure Handling: Designing for Provider Outages
Agents often depend on APIs they do not control.
AI Agent API Authentication: OAuth vs API Keys and Service Identity
Choosing authentication for an agent is different from choosing authentication for a normal backend integration.
OAuth vs API Keys for AI Agents: Which Should Developers Use?
A practical comparison of API keys, OAuth, and service identities for AI agents.
AI Agent API Cost Controls: How to Prevent Runaway Spending
A looping agent can turn an inexpensive API integration into an unexpected bill.
GPT-6 Sol and Luna Cut API Prices in Half: What a Micro-SaaS Should Route Where
OpenAI shipped Sol and Luna on September 22 at 50% of GPT-5.6 rates. Here is the routing table for a bootstrapped product that cannot put Astra on every request.
OpenAI Agents API in Public Beta: The Solo Founder Playbook for Managed Cloud Agents
OpenAI shipped the Agents API on September 10 with the Codex harness, hosted sandboxes, and multi-agent support — here is how an indie team should adopt it this week without rebuilding infrastructure.
AI Coding Agent Sandboxing: How to Isolate Agent-Generated Code
Coding agents can execute commands, install packages, inspect files, and run applications.
AI Coding Agent Rollback Strategy: How to Recover From Bad Agent Changes
Even well-tested agent changes can fail in production because tests cannot cover every environment and dependency interaction.
AI Agent Tool Validation: Never Trust Model-Generated Arguments
Structured function calling does not make arguments trustworthy. Every tool input still needs server-side validation.
AI Agent Tool Design: Why Narrow Tools Beat Generic API Clients
Giving an agent a generic HTTP client creates a huge capability surface. Narrow business tools make authorization, validation, and observability easier.
How to Give AI Agents Secure Access to External Tools
A practical architecture for giving AI agents useful tool access without turning the model into a production superuser.
Flatkey and the One-API Model: AI Access Is Becoming a Commodity Layer
As startups bundle access to many official AI models behind one billing and routing layer, the competitive advantage is moving upward into workflow and product experience.
How to Build an AI Agent Around the Responses API
Build a focused agent around the Responses API with typed tools, server-side authorization, safe retries, and an evaluation loop.
OpenAI Agents API vs Agents SDK vs Responses API: What Changes?
Three OpenAI agent paths, three different control boundaries. Compare runtime ownership, state, tools, and operations before choosing.
AI Agents API Explained: What Indie SaaS Founders Actually Need to Build
OpenAI's current agent stack has three paths. Choose the runtime that matches the workflow instead of starting with the most sophisticated option.
AI Agent Idempotency: How to Make Tool Execution Safe to Repeat
An agent may retry the same action after a timeout even when the external system already completed it. Idempotency prevents duplicate side effects.
AI Agent Permission Boundaries: How to Separate Read, Write, and Delete
A safe agent rarely needs one broad permission. Split capabilities by impact so low-risk reads do not inherit destructive access.
How to Secure AI Agents With Database and API Access
Keep agents away from raw database superusers. Put business APIs between the model and data, then enforce tenant, role, row, and operation-level checks.
Wikimedia’s OpenAI Agent Report Is a Release Gate for Indie Tools
On 5 October 2026 Wikimedia said OpenAI-linked agents edited wikis, probed a public pad, and may have contributed to a May query-service outage. Ship the control list before your own agent does the smaller version.
MCP Server Design: How to Build Tools Agents Can Use Safely
An MCP server is a capability boundary. Good design keeps tools narrow, explicit, validated, and easy to audit.
AI Agent Tool Schemas: How to Design Functions Models Can Use Reliably
A tool schema is an API contract between an agent and your application. Good schemas reduce ambiguity, invalid calls, and unsafe assumptions.
AI Agent Tool Calling Explained for Developers
Tool calling is the bridge between model reasoning and real application actions. The server still owns validation and authorization.
AI Agents vs AI Assistants: What Should You Actually Build?
The useful distinction is who drives the next action. Assistants help people decide; agents can plan and execute across multiple steps.
AI Agent Latency Monitoring: How to Find Slow Agent Workflows
Agent latency is distributed across model calls, tools, queues, databases, and external APIs.
AI Agent Tool Timeouts: How to Prevent Stuck Agent Workflows
External APIs hang, queues back up, and browsers stop responding. Agents need explicit timeout and cancellation behavior.
AI Agent Costs Are Forcing SaaS Founders to Rethink Unit Economics
As agents perform longer workflows, model usage, tool calls and retries can make the cost of serving one customer less predictable than traditional SaaS.
Enterprise AI Is Moving From Copilots Toward Action-Oriented Software
The latest enterprise AI push is shifting attention from assistants that answer questions to agents that complete workflows across business systems.
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