/platform-models-api-configure

name: platform-models-api-configure
description: "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)."
metadata:
  cliTools:
    - tool: ["curl"]
      semver: ">=7.29.0"
    - tool: ["jq"]
      semver: ">=1.6.0"
    - tool: ["sf"]
      semver: ">=2.0.0"
  relatedSkills:
    - "integration-connectivity-connected-app-configure"
    - "integration-connectivity-generate"
  version: "1.0"

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 the equivalent client settings in that agent's own config location instead of the Bedrock env vars.

Bundled scripts are in `scripts/`. Path placeholders below: `<SKILL>` = the absolute path to **this skill's own directory** (the folder containing this `SKILL.md`; resolve it from the skill path in context). `<ABS>` = the absolute path to the user's project root. Always emit fully resolved absolute paths — the API-key helper runs from an undefined working directory, so relative paths break it.

Prerequisite

A connected app in the org with the **`sfap_api`** OAuth scope and the **client_credentials** flow enabled (consumer key/secret + a run-as user). Setup steps: https://developer.salesforce.com/docs/ai/agentforce/guide/access-models-api-with-rest.html `curl` + `jq` installed.

Inputs to collect

• `SF_INSTANCE_URL` — org My Domain, e.g. `https://acme.my.salesforce.com`
• `SF_CLIENT_ID`, `SF_CLIENT_SECRET` — connected-app consumer key/secret
• Models API base URL: `https://api.salesforce.com/ai/gpt/v1`
• Model: a fully qualified `sfdc_ai__…` name, e.g.

`sfdc_ai__DefaultBedrockAnthropicClaude46Sonnet` (full list: https://developer.salesforce.com/docs/ai/agentforce/guide/supported-models.html)

• Scope: project (`<cwd>/.claude/settings.json`, default) or user (`~/.claude/settings.json`) — reference-agent settings paths
• Headers — `<FEAT>` = `x-client-feature-id` (default `ai-platform-models-connected-app`),

`<APP>` = `x-sfdc-app-context` (default `EinsteinGPT`). Used in the Step 2 verify curl and in `ANTHROPIC_CUSTOM_HEADERS`.

Steps (reference implementation)

Concrete values for a JSON-settings + API-key-helper agent. Reuse the OrgJWT auth, verify curl, and base URL verbatim for any agent; adapt the settings-file location and env-var wiring to the target agent.

1. Write `<project>/.claude/.orgjwt.env` (chmod 600), gitignore it:

   SF_INSTANCE_URL="..."
   SF_CLIENT_ID="..."
   SF_CLIENT_SECRET="..."

2. Verify — must return `200` before writing settings:

   TOKEN=$(bash <SKILL>/scripts/get-orgjwt.sh <ABS>/.claude/.orgjwt.env)
   curl -s -o /dev/null -w '%{http_code}\n' \
     <MODELS_API_URL>/model/<MODEL>/invoke-with-response-stream \
     -H "Authorization: Bearer $TOKEN" -H 'Content-Type: application/json' \
     -H 'x-client-feature-id: <FEAT>' -H 'x-sfdc-app-context: <APP>' \
     --data '{"anthropic_version":"bedrock-2023-05-31","max_tokens":16,"messages":[{"role":"user","content":"hi"}]}'

3. Write `.claude/settings.json` (merge into existing; keep other keys):

   {
     "apiKeyHelper": "bash <SKILL>/scripts/get-orgjwt.sh <ABS>/.claude/.orgjwt.env",
     "model": "<MODEL>",
     "env": {
       "ANTHROPIC_AUTH_TOKEN": "",
       "CLAUDE_CODE_USE_BEDROCK": "1",
       "CLAUDE_CODE_SKIP_BEDROCK_AUTH": "1",
       "ANTHROPIC_BEDROCK_BASE_URL": "<MODELS_API_URL>",
       "ANTHROPIC_SMALL_FAST_MODEL": "<MODEL>",
       "ANTHROPIC_DEFAULT_MODEL": "<MODEL>",
       "ANTHROPIC_CUSTOM_HEADERS": "x-client-feature-id: <FEAT>\nx-sfdc-app-context: <APP>"
     }
   }

Use absolute paths in `apiKeyHelper`. (`<FEAT>` / `<APP>` defaults are in "Inputs to collect" above.) 4. Tell the admin to fully restart the agent (`claude` for the reference agent) — settings and the API-key helper load at startup only.

Capturing as a runbook (when asked to document, not apply)

If the user wants the setup written up for review instead of applied to their machine (e.g. "save it as a Markdown runbook"), write **all** of the above into the requested file (e.g. `models-api-setup-runbook.md`), in order and self-contained: the exact `.orgjwt.env` contents, the `chmod 600` + gitignore note, the verification curl (with the "must be `200` before writing settings" note), the full `settings.json` block with every key from Step 3, and the final "fully restart `claude`" step. Don't omit any of the nine `settings.json` keys.

Verify before finishing

• [ ] `.claude/.orgjwt.env` created, `chmod 600`, and gitignored
• [ ] Verification curl returned HTTP `200` before `settings.json` was written
• [ ] `A