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commerce-architecture

commerce-architecture

github.com/anthropicsAgent workflows3.4k42 installsUpdated 8w ago
Repository

About commerce-architecture

commerce-architecture documents the design of shopping and merchant agents for teams implementing or deploying them. It explains the shared execution loop, skill loading, backend interfaces, and delegation boundaries, including where different rules belong.

Key features

  1. 01Describe shopping and merchant agent loops
  2. 02Separate prompt, tool, and skill rules
  3. 03Define shopping and merchant backend interfaces
  4. 04Specify skill loading and deployment configuration
  5. 05Constrain delegate inputs and permissions

Use cases

  1. 01Implement a backend for a commerce agent
  2. 02Choose the architectural layer for a behavior rule
  3. 03Configure skills and available tools
  4. 04Plan model selection and evaluations for deployment

MCP support

The shopping and merchant MCP servers share their executor with the Messages API runtime and Agent SDK. The MCP servers route tool calls through role-specific executors.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/anthropics/commerce-agents --skill commerce-architecture

After installing, type/commerce-architecturein Claude Code to confirm it loaded.

Details

From the project README

Commerce agent architecture

Paths are in the reference repo: commerce_common/ is commerce-common/commerce_common/, shopping_agent/ is shopping-agent/core/shopping_agent/, merchant_agent/ is merchant-agent/core/merchant_agent/, and the runtimes are shopping-agent/runtime-messages-api/shopping_agent_runtime/ and merchant-agent/runtime-messages-api/merchant_agent_runtime/.

One loop

  • One model owns the conversation. A turn is ShoppingAgent.stream_turn or MerchantAgent.stream_turn (each runtime's orchestrator.py): the model reads the cached prompt, calls tools (one round's calls run concurrently), and ends with text plus presentation calls. There is no router, classifier, or hand-off.
  • Every call on every path runs through the role executor (ShoppingToolExecutor in shopping_agent/executor.py, MerchantToolExecutor in merchant_agent/executor.py) over BaseToolExecutor in commerce_common/execution.py. The Messages API runtime, the Agent SDK toolset, and the MCP server call the same execute, which never raises; after max_tool_iterations rounds (commerce_common/config.py) the runtime forces a round without tools.

Where a rule lives

A rule that appliesLives inReference
While one call's arguments are being filled inThat tool's descriptionbuild_tools in each role's tools/registry.py
On most turns: cart and checkout, the staged-write contract, presentation grammar, tool order, trust rulesThe static promptbuild_static_system in each role's prompt.py
On the minority of requests that need a multi-step procedureA skill, loaded on demandshopping-agent/skills/, merchant-agent/skills/

A rule the core journey needs on most conversations moves a layer down. This table is the one statement of the layering.

Skills

  • A skill is a directory holding SKILL.md: frontmatter name and description, then the body (parse_skill_md in commerce_common/skills.py). The description names the request class; it carries no sample utterances.
  • The static prompt carries the index alone (SkillRegistry.index_block, sorted by name) and load_skill returns one body (_load_skill in commerce_common/execution.py). On the Agent SDK, ensure_project_skills links the same directories into .claude/skills/ and SKILL_TOOL_ADAPTER points the model at the SDK's Skill tool (commerce_common/agent_sdk.py); the hosted manifests list the directories under skills[] in agent.yaml.

The backend interface

A deployment implements one abstract class per role; nothing else reaches its systems.

  • StorefrontBackend (shopping_agent/backend.py): 11 abstract methods, catalog (2), cart (4), preferences (1), orders (2), policies (1), fulfillment (1); get_account_context, get_disclosure, and checkout_handoff have defaults. No method places an order or moves money; checkout_handoff names where payment happens (a hosted checkout URL, or one per seller) and the host renders it.
  • MerchantBackend (merchant_agent/backend.py): 16 abstract methods, reads (8: performance 3, catalog 2, inventory and order health 2, pricing 1) and the change lifecycle (8: five stage_*, get_pending_changes, apply_change, discard_change); execute_analysis_query, get_analysis_schema, get_merchant_context have defaults.
  • A product or listing sold by size, color, or tier is a family record carrying options, its variants each a record with option_values and variant_of; the cart and price or restock writes take a variant's id and the gates hold a family's. docs/backends.md has the mapping from common catalog models and what to return for a figure the platform cannot supply.
  • Eligibility, pricing, inventory, and quantity rules are enforced in the backend; the gates check provenance and caps (commerce-trust-safety). Everything a backend returns is fenced before the model reads it.
  • A system that is not wired yet is a method that fails (merchant methods raise ChangeNotApplicable from merchant_agent/changes.py); the tool stays registered, so prompt bytes do not change. A system the business does not have at all is absent: an enable_* switch on the role's config turned off, which removes its tools (absent_tools()), prompt lines, and grounding rule on all three paths, and the executor refuses those names; the skills that need it are parked under skills/_staged/, and the bytes are then fixed for that deployment. NotOffered (shopping_agent/backend.py) is the narrower signal: one item or seller the store does not serve while the system itself is on.
  • executor_class= on ShoppingAgent / MerchantAgent, the SDK toolsets, and the MCP servers' build_server takes a subclass of the role's executor for a deployment's own domain_error mapping or result wording.

Delegates

A second model call takes one shape: a DelegateExtension (commerce_common/delegation.py). It receives a brief and the handles in DelegationContext, never the conversation or the executor; it returns one result validated against result_model; it cannot write, present, or call a delegate; _run_delegate in commerce_common/execution.py caps its calls per turn at max_delegate_calls_per_turn. MerchantAgent takes extra_delegates, and its built-in instance is run_analysis (commerce-merchant-operations). ShoppingAgent registers none.

Model fields

model runs the turn loop and memory_model the post-turn extraction (BaseAgentConfig in commerce_common/config.py); analysis_model runs the delegate, and None means model (MerchantAgentConfig in merchant_agent/config.py). The SDK runtimes copy config.model into the options; the manifests set model:. Choose the values with your own evals.

Do not

  • Vary tools[] or the static prompt by request (commerce-prompt-caching).
  • Put a most-turns rule in a skill, or a one-tool rule in the prompt.
  • Enforce a cap or a permission in prompt text alone; it belongs in the executor or the backend.
  • Let the model author a price, a figure, or a term; components are joined from server records (commerce-ui-tools).
  • Add a domain tool to a core package; a vertical adds UI through PresentationExtension and keeps the rest in its own code.

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