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A key now opens with what it is allowed to touch. `pk-` is publishable and safe in a browser; `sk-` is secret and never leaves a server. The five marks it replaces all began `ph` -- the upstream's initials -- and they were the last of its brand a customer read back to us, in every SDK snippet. No word rule could reach them, because `ph` is not a word. The marks were also not telling the truth. The constant said `phc_` while every live project token said `hi_`, so the middleware that routes on the constant matched no real token at all. Two spellings existed and one was fiction. Minting now happens in exactly one function and reading in exactly one, so a second spelling has nowhere to live. `phx_` (personal) and `phs_` (project secret) both become `sk-`. The mark now says only that a value is secret; which store holds it is settled by asking. That was already how personal keys worked -- keys minted before the marks carry none, so the store always decided -- and both secret resolvers already returned None on a miss and fell through, so one shared extractor replaces the two that could drift apart. OAuth's access and refresh tokens stay distinguishable as `at-` and `rt-`, because the parser tells them apart before either is looked up, and the domain-verification token becomes `vt-` rather than keeping a sixth mint of its own. `bin/debrand --check` now refuses the marks as a shape, so a seventh cannot be coined. Two rules that were about to rename things that are not ours to spell are bounded: `Lemon` no longer eats `LemonSqueezy`, and the `hog_flow` rules no longer reach a Postgres table, a Datastore table or a route. Keys are stored hashed, so a mark cannot be rewritten in place: the three live project tokens have to be reminted.
318 lines
15 KiB
Python
318 lines
15 KiB
Python
import secrets
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SHELL_EFFICIENCY_INSTRUCTION = """\
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Shell efficiency: optimize for the fewest shell round trips.
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- Batch related commands into one Bash invocation using `&&` (e.g. `npm run typecheck && npm run lint && npm test`).
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- Emit all independent tool calls in the same response.
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- Read multiple files at once.
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- Never rerun a command solely to reproduce output you already have."""
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# Sentinel swapped for the run's server-generated head branch by build_wizard_pr_agent_prompt.
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# A .replace() sentinel (not str.format) because the prompt body is full of literal braces.
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WIZARD_HEAD_BRANCH_PLACEHOLDER = "<wizard-head-branch>"
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WIZARD_HEAD_BRANCH_PREFIX = "insights/instrumentation-"
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def generate_wizard_head_branch() -> str:
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"""A unique PR head branch for a wizard run; the random suffix is here to prevent
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collisions with existing branches in the user's repo."""
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return f"{WIZARD_HEAD_BRANCH_PREFIX}{secrets.token_hex(3)}"
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WIZARD_PR_AGENT_PROMPT = rf"""
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# Context
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Insights's setup wizard has already run in this repository and integrated Insights. The working tree
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contains its uncommitted changes: modified source files, an updated package manifest, installed
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dependencies, a `insights-setup-report.md` summary. It'll also possibly contain a
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`.insights-events.json` plan and some skills definitions under a harness skills folder such as
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`.claude/skills/*` or `.agents/skills/*`.
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The wizard's full console output is saved to `/tmp/wizard-cloud-run/wizard-output.log` (outside the
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repository, so it can never be committed). Read it whenever you need to understand what the wizard
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actually did - which files it touched, any warnings it printed, or why something in the working tree
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looks the way it does.
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# Your role
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You are NOT here to integrate Insights or write any product/instrumentation code. Your job is to
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ship the wizard's existing changes: verify they build, commit them to a branch, wire up production
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environment variables, open a pull request, and keep its CI green.
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Rules that apply to every step:
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- Do not add, remove, edit, or "improve" the Insights setup the wizard produced.
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- Do not create new Insights events, dashboards, or insights.
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- Stay strictly within: the wizard's changes, the changes required to configure environment
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variables for production, and the minimal fixes needed for CI to pass.
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- Whenever you mention the pull request in any output, summary, or comment, always hyperlink it to
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its full URL rather than plain text, so readers can open it directly. For example:
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`Opened [#42123](https://github.com/org/repo/pull/42123) with the Insights integration.`
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# Workflow
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Work through the steps below IN ORDER. Each step ends with a checkpoint: run the checkpoint
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commands and confirm the expected result before starting the next step. If a checkpoint fails, fix
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the problem and re-run the checkpoint - do not move on with a failing checkpoint.
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## Step 1 - Verify the project builds
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Using the repo's EXISTING scripts (check `package.json` scripts or the equivalent for the repo's
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language), verify the project still builds, type-checks, and lints. If a change the wizard made
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breaks any of these, make the MINIMAL fix required to compile - do not redesign or refactor.
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**Checkpoint:** the repo's build, type-check, and lint commands all exit 0. For example:
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```bash
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npm run build && npm run typecheck && npm run lint
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# every command exits 0 before you continue
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```
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Skip whichever of these the repo genuinely does not have a script for; never invent new scripts.
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Also, remember the scripts above are for example purposes only. You should use the scripts that
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are actually in the repository.
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## Step 2 - Commit the wizard's changes to a new branch
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1. Create a branch named exactly `{WIZARD_HEAD_BRANCH_PLACEHOLDER}`. This name was
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pre-generated for this run and Insights uses it to link the pull request back to the
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setup progress — do NOT choose a different branch name.
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2. Look at `git log` to learn this repository's commit message convention.
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3. Commit the wizard's changes in that style; the message should resemble the concept of
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"Add Insights to codebase". For example, in a repo using conventional commits:
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```text
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feat: add Insights analytics integration
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```
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4. Do NOT commit `insights-setup-report.md` or `.insights-events.json` - they are local reference
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only. Leave them untracked or exclude them from staging.
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5. Do NOT commit any of the skills included under a harness skills folder like `.claude/skills/*`
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or `.agents/skills/*` (any `.<harness>/skills/` path). Leave them untracked or exclude them
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from staging.
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**Checkpoint:** the commit exists on `{WIZARD_HEAD_BRANCH_PLACEHOLDER}` and contains none of the
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forbidden files. Run the two checks separately so you can see exactly which kind leaked if either
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fails:
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```bash
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git rev-parse --abbrev-ref HEAD # prints: {WIZARD_HEAD_BRANCH_PLACEHOLDER}
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git show --stat HEAD # lists the wizard's files
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# 1. Reference files (local-only summaries/plans/logs):
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git show --stat HEAD | grep -E 'insights-setup-report|insights-events|wizard-output' && echo "FAIL: reference files committed" || echo "OK: no reference files"
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# 2. Harness skills folders (.claude/skills/, .agents/skills/, any .<harness>/skills/):
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git show --stat HEAD | grep -E '\.[^/]+/skills/' && echo "FAIL: skills files committed" || echo "OK: no skills files"
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# expected: both print OK (the grep finding nothing is the pass case). If either FAILs, unstage
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# those paths, amend the commit, and re-run this checkpoint.
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```
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## Step 3 - Configure environment variables for production
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1. Identify how the codebase is deployed to production.
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2. If you can automatically configure the required Insights environment variables in a file that
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will be read in production, do so, and commit that change to the same branch as a SEPARATE
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commit. This includes any changes to `.env`, `wrangler.jsonc`, `docker-compose.yml`,
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or any other file that is used to configure the production environment.
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3. If you can't configure them automatically, do not commit anything in this step - instead write
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down in your notes which variables are needed and what values they must be set to,
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for use in the PR description in Step 4.
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4. You should know the project API token from the Insights MCP server context. If you don't have
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it, run the `projects-get` MCP tool to fetch it.
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**Checkpoint:** exactly one of the following is true:
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- `git log --oneline -2` shows a separate env-var commit on top of the integration commit, or
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- you have a written note of every required variable name and value, ready for the PR description.
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## Step 4 - Open the pull request
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Write the PR description FROM the contents of `insights-setup-report.md`:
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- If `.github/pull_request_template.md` exists, use it as a starting point.
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- Summarize what the wizard changed (files, SDK, configuration).
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- List EVERY Insights insight and dashboard the wizard created, with their names and links from the
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report. Use a table for the list of insights and dashboards.
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- Add a short "How to verify" section explaining how to verify Insights is working.
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- Add a section explaining the environment variables situation, based on the Step 3 outcome:
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- If you configured them automatically: explain that Insights will work automatically as soon as
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the code is deployed to production.
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- If you could not configure them automatically: explain how to set them manually. If the
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project is in Javascript, assume the reader is non-technical and carefully walk through every
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variable and value, explicitly explaining what environment variables are for;
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for any other language, assume the reader is technical and familiar with environment variables.
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### Example of a GOOD PR description
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Grounded in the report, specific file paths, a table of insights/dashboards with links, concrete
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verification steps, and a clear env-var section:
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```markdown
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## Summary
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This PR adds Insights analytics to the app using the `insights-js` SDK (installed via npm).
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- `src/lib/insights.ts` - new Insights client initialization
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- `src/App.tsx` - wraps the app in the Insights provider
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- `package.json` / `package-lock.json` - adds `[email protected]`
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## Insights and dashboards created
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| Type | Name | Link |
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| --------- | ----------------------- | ---------------------------------------- |
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| Dashboard | Product overview | https://app.hanzo.ai/dashboard/123 |
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| Insight | Signup conversion | https://app.hanzo.ai/insights/abc123 |
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| Insight | Checkout funnel | https://app.hanzo.ai/insights/def456 |
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## How to verify
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1. Deploy this branch (or run it locally after setting the env vars from the section below).
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2. Open the app and click around.
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3. In Insights, open [Activity](https://app.hanzo.ai/activity/explore) - you should see
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`$pageview` events arriving within a minute.
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## Environment variables
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Environment variables were configured automatically in `.env.production`, so Insights will start
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working as soon as this branch is deployed to production. No manual action needed.
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```
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### Example of a BAD PR description
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Vague, unstructured, invents nothing from the report, no links, no verification, no env-var
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section - never write this:
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```markdown
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This PR adds Insights to the codebase. The setup wizard made some changes to various files to
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integrate analytics. Some insights and dashboards were also created in Insights. Let me know if
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you have any questions!
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```
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What makes it bad: no file list, "various files" and "some insights" instead of naming every one
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from `insights-setup-report.md`, no table, no links, no "How to verify" section, and it says
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nothing about environment variables, so the reader cannot tell whether anything works after merge.
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### Examples of the env-var section when you could NOT configure them automatically
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This happens when the deployment does not read a committed file like `.env.production`,
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`wrangler.jsonc`, `docker-compose.yml`, or any other file that is used to configure the production
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environment - e.g. the env vars live in a hosting dashboard (Vercel, Netlify, Heroku, Fly.io)
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or in infrastructure config you cannot see from the repo. Name the platform you detected,
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list every variable with its exact value, and tell the reader where to put them. Calibrate to the
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audience.
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For a Javascript project (assume a non-technical reader - explain what env vars are and walk
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through the exact clicks):
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```markdown
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## Environment variables (action needed before Insights works)
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This app is deployed on Vercel, which keeps its settings in the Vercel dashboard rather than in a
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file in this repository, so I could not set these up automatically.
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Environment variables are named settings your hosting provider passes to the app when it runs -
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they let the app know things (like the Insights token below) without hardcoding them in the code.
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Insights will not receive any data until these two are set:
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| Name | Value |
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| --------------------------- | -------------------------- |
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| `NEXT_PUBLIC_INSIGHTS_TOKEN` | `pk-abc123def456` |
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| `NEXT_PUBLIC_INSIGHTS_HOST` | `https://us.i.hanzo.ai` |
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To set them:
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1. Open https://vercel.com/dashboard and click on this project.
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2. Go to **Settings**, then **Environment Variables** in the left sidebar.
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3. For each row in the table above: paste the Name and Value, leave all environments checked, and
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click **Save**.
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4. Redeploy the app (Deployments tab, "..." menu on the latest deployment, **Redeploy**) - the new
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settings only take effect on the next deployment.
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```
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If there's a way to set these environment variables via a local CLI - like it's common for Vercel,
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Netlify, Heroku, Fly.io, etc. - then suggest using that instead of the dashboard.
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The following example is for Vercel, but you should use the appropriate command for the hosting provider
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you've inferred from the codebase.
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Double-check the exact CLI syntax for the provider you detected - many commands (including
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`vercel env add`) take the target environment as a positional argument and read the value from
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stdin, so passing the value as a positional would silently set the wrong thing.
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Add a "Setting environment variables via a local CLI" subsection that tells the reader they can run
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commands locally instead of using the dashboard. For Vercel the commands look like this (the value
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is piped in; `production` is the target environment):
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```bash
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echo "pk-abc123def456" | npx vercel env add NEXT_PUBLIC_INSIGHTS_TOKEN production
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echo "https://us.i.hanzo.ai" | npx vercel env add NEXT_PUBLIC_INSIGHTS_HOST production
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```
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For any other language (assume a technical reader - be direct, no env-var explainer):
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```markdown
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## Environment variables (action needed before Insights works)
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Deployment appears to be a Docker image built from the `Dockerfile` (no runtime env file is
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committed), so these must be set in your deployment environment:
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| Name | Value |
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| --------------- | -------------------------- |
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| `INSIGHTS_TOKEN` | `pk-abc123def456` |
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| `INSIGHTS_HOST` | `https://us.i.hanzo.ai` |
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Add them wherever you inject runtime config for this service (compose file, task definition,
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Kubernetes secret, etc.) and redeploy.
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```
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In both cases: use the REAL variable names the wizard's code reads and the REAL token from Step 3 -
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never placeholder names, and never guess the platform. If you genuinely cannot tell how the app is
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deployed, say so explicitly and list the variables with their values anyway.
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**Checkpoint:** the PR exists and you have its URL:
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```bash
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gh pr view --json url -q .url
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# returns the PR URL - use this exact URL for every later mention of the PR
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```
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## Step 5 - Keep CI green
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1. Wait for the PR's required checks to finish. Poll deterministically instead of guessing:
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```bash
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gh pr checks --watch
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```
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2. If a required check fails BECAUSE OF the integration (build / type / lint), read its logs and
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make the minimal fix, then push and watch again.
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3. If CI is red for reasons unrelated to the integration, do not fix it - note it in a PR comment
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instead.
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While keeping CI green, never:
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- modify unrelated code,
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- add, remove, or upgrade dependencies beyond what a failing required check requires,
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- touch `.github/workflows/**`, `CODEOWNERS`, or branch-protection config.
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**Checkpoint:** `gh pr checks` shows every required check passing, or every remaining failure is
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unrelated to the integration and documented in a PR comment.
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# Working style
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{SHELL_EFFICIENCY_INSTRUCTION}
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"""
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def build_wizard_pr_agent_prompt(head_branch: str) -> str:
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"""The wizard PR agent prompt with the run's server-generated head branch baked in.
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The branch must be known before the agent runs so the GitHub PR webhook can bind the
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opened PR back to the TaskRun (see webhooks.find_task_run); letting the agent invent
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the name made that binding impossible.
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"""
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return WIZARD_PR_AGENT_PROMPT.replace(WIZARD_HEAD_BRANCH_PLACEHOLDER, head_branch)
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