llm-output-schema-cons…
Zod schema constraints that Anthropic rejects or silently ignores when sent as structured-output tool definitions via aiSdk.Output.object(). Use when writing…
Wire encrypted credentials to environment variables using the credential: convention. Use when setting up LLM provider keys (ANTHROPIC_API_KEY, OPENAI_API_KEY) or any env var that should come from encrypted credentials.
$ npx -y skills add growthxai/output --skill output-credentials-env-vars --agent claude-codeHow it fires
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/output-credentials-env-varsContext preview
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Wire encrypted credentials to environment variables using the credential: convention. Use when setting up LLM provider keys (ANTHROPIC_API_KEY, OPENAI_API_KEY) or any env var that should come from encrypted credentials.
name: output-credentials-env-vars description: "Wire encrypted credentials to environment variables using the credential: convention. Use when setting up LLM provider keys (ANTHROPIC_API_KEY, OPENAI_API_KEY) or any env var that should come from encrypted credentials." allowed-tools: [Read, Edit, Bash, Glob]
Any env var whose value starts with `credential:` is resolved from encrypted credentials at worker startup. The format is:
ENV_VAR_NAME=credential:<dot.path>
# These are resolved automatically from config/credentials.yml.enc ANTHROPIC_API_KEY=credential:anthropic.api_key OPENAI_API_KEY=credential:openai.api_key # Any credential path works MY_SERVICE_TOKEN=credential:my_service.token DATABASE_URL=credential:postgres.url
anthropic: api_key: sk-ant-... # → resolves ANTHROPIC_API_KEY openai: api_key: sk-... # → resolves OPENAI_API_KEY my_service: token: tok_live_... # → resolves MY_SERVICE_TOKEN postgres: url: postgres://... # → resolves DATABASE_URL
1. Worker loads `.env` via dotenv — `ANTHROPIC_API_KEY` = `"credential:anthropic.api_key"` 2. Worker loads all workflow activity files (importing `@outputai/credentials`) 3. Worker calls `runStartupHooks()` — `resolveCredentialRefs()` runs 4. `resolveCredentialRefs()` scans `process.env` for `credential:` prefix values 5. Each matching var is replaced with the actual decrypted credential value 6. `ANTHROPIC_API_KEY` is now `"sk-ant-..."` in `process.env` 7. LLM SDK reads it normally when the first workflow activity runs
The credentials file can also declare the mapping directly in an `_env` section. New projects scaffold with this pre-configured:
anthropic: api_key: sk-ant-... openai: api_key: sk-... _env: ANTHROPIC_API_KEY: anthropic.api_key OPENAI_API_KEY: openai.api_key
> **Note:** The `_env` section is metadata only — it documents the intended mapping but does not drive resolution. Resolution is driven by the `credential:` values in `.env`. Keep both in sync.
Real env var values always take precedence. If `ANTHROPIC_API_KEY` is already set to a non-`credential:` value (e.g. from the shell or a CI secret), it is **never overwritten**:
# Real value — never touched by resolveCredentialRefs ANTHROPIC_API_KEY=sk-ant-real-override # Placeholder — gets replaced at startup ANTHROPIC_API_KEY=credential:anthropic.api_key
This means you can override any credential ref at deploy time without changing files.
After the first resolution, `ANTHROPIC_API_KEY` contains the real API key string — it no longer starts with `credential:`. Subsequent calls to `resolveCredentialRefs()` are no-ops for that variable.
npx output credentials init npx output credentials edit # Add anthropic.api_key, openai.api_key
# Replace plaintext secrets with credential references ANTHROPIC_API_KEY=credential:anthropic.api_key OPENAI_API_KEY=credential:openai.api_key
Start the worker and look for the log line:
Startup hooks resolved env vars {"vars":["ANTHROPIC_API_KEY","OPENAI_API_KEY"]}If the log line appears, credentials are wired correctly.
If you need to call `resolveCredentialRefs()` outside of a worker context:
import { resolveCredentialRefs } from '@outputai/credentials';
// Returns array of env var names that were resolved
const resolved = resolveCredentialRefs();
console.log('Resolved:', resolved);
// → ["ANTHROPIC_API_KEY", "OPENAI_API_KEY"]The open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code — describe what you want, Claude builds it, with all the best practices already in place. One framework.
Repo: growthxai/output
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