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Skills/forcedotcom/sf-skills/platform-models-api-configure
platform-models-api-configure logo

platform-models-api-configure

forcedotcom/sf-skills
805 installs751 stars
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Installation

npx skills add https://github.com/forcedotcom/sf-skills --skill platform-models-api-configure

Summary

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).

SKILL.md

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="..."
  1. 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"}]}'
  1. 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.)

  1. 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
  • [ ] 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

ErrorMeaningCheck first
401Token is not a valid OrgJWTConnected App sfap_api scope, client_credentials flow enabled, consumer key/secret in .orgjwt.env; ANTHROPIC_AUTH_TOKEN not cleared to ""
404Token valid but model/env/org not routableFully 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 availableNon-alias model idReplace with a fully qualified sfdc_ai__… alias (see supported models)

Score

0–100
63/ 100

Grade

C

Popularity15/30

805 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Platform Models Api Configure skill score badge previewScore badge

Markdown

[![Platform Models Api Configure skill](https://www.remoteopenclaw.com/skills/forcedotcom/sf-skills/platform-models-api-configure/badges/score.svg)](https://www.remoteopenclaw.com/skills/forcedotcom/sf-skills/platform-models-api-configure)

HTML

<a href="https://www.remoteopenclaw.com/skills/forcedotcom/sf-skills/platform-models-api-configure"><img src="https://www.remoteopenclaw.com/skills/forcedotcom/sf-skills/platform-models-api-configure/badges/score.svg" alt="Platform Models Api Configure skill"/></a>

Platform Models Api Configure FAQ

How do I install the Platform Models Api Configure skill?

Run “npx skills add https://github.com/forcedotcom/sf-skills --skill platform-models-api-configure” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Platform Models Api Configure skill do?

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). The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Platform Models Api Configure skill free?

Yes. Platform Models Api Configure is a free, open-source skill published from forcedotcom/sf-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Platform Models Api Configure work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Platform Models Api Configure works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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