OpenAI Agents SDK
A free, open-source developer library from OpenAI for building custom AI agents in code, with tools and handoffs between agents.
A developer library from Anthropic for building custom AI agents, using the same tools and control loop that power Claude Code.
The Claude Agent SDK is a Python and TypeScript developer library for building AI agents that read files, run commands, and call outside tools, without developers writing that control loop themselves. It is built on the same agent loop, tools, and context management used in Claude Code, Anthropic's coding tool. It supports the Model Context Protocol, or MCP, for connecting to outside data, subagents for delegating parts of a task, and hooks for running custom code at set points. Permission settings control which actions run automatically and which need approval. It is made by Anthropic, which renamed it from the earlier 'Claude Code SDK' and provides a migration guide. Use is governed by Anthropic's commercial terms of service.
This fits an engineering team that wants strong built-in guardrails, like requiring approval before risky actions, rather than assembling that logic from a lower-level API, and it works especially well for coding-adjacent agents such as one that reviews pull requests or triages bug reports. Start with a narrow, well-defined task, use the permission settings to require human approval on anything that changes data, and expand scope only after that works. There is no separate license fee; cost comes from Anthropic API usage billed by token, plus engineering time. Because the product was recently renamed, some online tutorials may still reference the older 'Claude Code SDK' name, so check that any guide you follow matches the current SDK.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $57.8K | $91.9K | $149.2K |
| Three-year total | $121.4K | $184.7K | $288K |
| First-year cost per unit | $57.8K | $91.9K | $149.2K |
| Average annual cost per unit (over three years) | $40.5K | $61.6K | $96K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $16.5K | $22K | $29.7K |
| Implementation | $9.6K | $16K | $27.2K |
| Integration | $12.1K | $22K | $39.6K |
| Staff time and change management | $6.3K | $9K | $12.6K |
| Security | $4.9K | $7K | $10.5K |
| Administration | $3.8K | $5K | $6.8K |
| Support | $1.9K | $2.5K | $3.4K |
Estimate assumptions: Based on 1 production deployment. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Anthropic Claude Agent SDK and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
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