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32 lines
1.4 KiB
Plaintext
32 lines
1.4 KiB
Plaintext
# Example env for running Instance AI workflow evals locally.
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#
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# This is ONE setup — a local instance that runs the build sandbox directly
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# (no hosted proxy). Other setups (proxy-vended sandbox/model, an instance you
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# already run) need different vars or none of these. Copy to `.env.eval`
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# (gitignored) and fill in real values, then load it alongside your usual env
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# however you manage env (a common way is `dotenvx run -f .env.local -f .env.eval`).
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#
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# See .agents/skills/create-instance-ai-eval/running-evals.md for what each
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# piece does and packages/@n8n/instance-ai/evaluations/README.md for the harness.
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N8N_LOG_LEVEL=debug
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# Enable AI features and the instance-ai module.
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N8N_AI_ENABLED=true
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N8N_ENABLED_MODULES=instance-ai
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# Model key for the builder and the eval helper (mock generation, verifier,
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# user-proxy, expectation judge). When the instance runs without the proxy, the
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# model client reads ANTHROPIC_API_KEY directly, so export that too if you go
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# that route.
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N8N_AI_ANTHROPIC_KEY=sk-ant-api03-REPLACE_ME
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# Sandbox where the builder executes its workflow-build code.
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N8N_INSTANCE_AI_SANDBOX_ENABLED=true
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N8N_INSTANCE_AI_SANDBOX_PROVIDER=daytona
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# Daytona credentials — used when the instance provisions the sandbox directly
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# (rather than through the proxy). Get a key from https://app.daytona.io.
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DAYTONA_API_KEY=dtn_REPLACE_ME
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DAYTONA_API_URL=https://app.daytona.io/api
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