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platform-models-api-configure

Configure (or troubleshoot) an AI coding agent or CLI to route through the Salesforce Models API using a signed OrgJWT. Use this skill when pointing an agent at the Salesforce model endpoint (api.salesforce.com/ai/gpt/v1), setting up OrgJWT / Bedrock-mode auth, wiring the agent's settings, API-key helper, and credentials file for the Salesforce endpoint, or fixing Models API 401 / 404 / "model not available" errors. DO NOT TRIGGER when the user needs to create or configure the Salesforce Connected App itself (use integration-connectivity-connected-app-configure) or set up Named Credentials / callout auth (use integration-connectivity-generate).

skills/platform-models-api-configure/SKILL.md

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Nov 6, 2026
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Apache-2.0

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# Salesforce Models API setup for an AI coding agent

The Salesforce Models API (`https://api.salesforce.com/ai/gpt/v1`) is
authenticated with a signed **OrgJWT** (obtained via `client_credentials` with
the `sfap_api` scope — see `scripts/get-orgjwt.sh`; no proxy). That auth and the
base URL are the same for **any** agent. How each agent then talks to the
endpoint is agent-specific: Anthropic clients (**Claude Code** and the **Claude
Agent SDK**) route through **Bedrock mode** (the env vars in Step 3), whereas
other agents (e.g. Codex) use their own client config against the same endpoint
and token — Bedrock mode does **not** apply to them.

The steps below are the **Claude Code / Claude Agent SDK reference
implementation** (Bedrock mode + a JSON settings file + an API-key helper). For
a non-Bedrock agent, reuse the OrgJWT auth (Step 1) and the base URL, and apply