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>"
        
        
        
     
   
   

   Use absolute paths in . ( / defaults are in "Inputs to collect" above.)

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
• ANTHROPIC_AUTH_TOKEN set to "" in settings.json
• CLAUDE_CODE_USE_BEDROCK set to "1"
• CLAUDE_CODE_SKIP_BEDROCK_AUTH set to "1"
• ANTHROPIC_BEDROCK_BASE_URL is exactly https://api.salesforce.com/ai/gpt/v1 (no trailing slash/path)
• model, ANTHROPIC_DEFAULT_MODEL, and ANTHROPIC_SMALL_FAST_MODEL all use the fully qualified sfdc_ai__… alias
• ANTHROPIC_CUSTOM_HEADERS contains x-client-feature-id and x-sfdc-app-context
• apiKeyHelper uses absolute paths (bash <SKILL>/scripts/get-orgjwt.sh <ABS>/.claude/.orgjwt.env)
• User told to fully restart claude

Must be exact (each prevents a specific failure)

• "ANTHROPIC_AUTH_TOKEN": "" — clears any global token that would otherwise outrank apiKeyHelper (precedence: ANTHROPIC_AUTH_TOKEN > ANTHROPIC_API_KEY

  apiKeyHelper). Without it → wrong/old bearer → 401/404.

• CLAUDE_CODE_USE_BEDROCK=1 — activates the Bedrock API client; without it Claude Code uses the standard Anthropic API protocol and ignores ANTHROPIC_BEDROCK_BASE_URL entirely, so every call bypasses the Models API.
• CLAUDE_CODE_SKIP_BEDROCK_AUTH=1 — else Claude Code overwrites Authorization with AWS SigV4 and the OrgJWT never lands.
• apiKeyHelper must be invoked as bash <path> <credsfile> (avoids exit-126).
• Model must be a fully qualified sfdc_ai__… name (see supported models).
• Auth is the OrgJWT from client_credentials (a signed JWT, 2 dots, scope sfap_api) — NOT sf org display (unsigned session token → 404). sf CLI has no client_credentials command; the helper calls /services/oauth2/token.
• Only ANTHROPIC_BEDROCK_BASE_URL routes; no tenant-id header needed.

Diagnose

Error	Meaning	Check first
401	Token is not a valid OrgJWT	Connected App sfap_api scope, client_credentials flow enabled, consumer key/secret in .orgjwt.env; ANTHROPIC_AUTH_TOKEN not cleared to ""
404	Token valid but model/env/org not routable	Fully qualified sfdc_ai__… model alias, ANTHROPIC_BEDROCK_BASE_URL exactly https://api.salesforce.com/ai/gpt/v1, org entitled for the Models API, ANTHROPIC_AUTH_TOKEN cleared
model not available	Non-alias model id	Replace with a fully qualified sfdc_ai__… alias (see supported models)