Replaces today's `keyLimitUsd = min(walletBalance, $25)` with population-aware
buffers so users can use 100% of their credits before being paywalled, and
opaque mid-run "more credits" failures (e.g. https://github.com/pullfrog/app/actions/runs/25531633203)
get a clear PR comment instead of a generic stack-trace dump.
Policy matrix:
- Auto-reload accounts: `wallet + autoReloadAmountCents` (default $50, no cap)
- Card + no-autoreload: `wallet + $5` overdraft buffer
- No card: `wallet` (no buffer; existing zero-balance 402 stays)
- OSS: `$10` (unchanged)
Removes the $25 per-run cap entirely. Long Build runs at high-balance
accounts no longer silently cap at $25.
Other changes:
- Classify mid-run OpenRouter "requires more credits, or fewer max_tokens"
errors as `router_keylimit_exhausted` BillingError so users get an
actionable PR comment.
- Override OpenCode `max_tokens: 32000` default to `5000` via
OpenCodeConfig.limit.output. Drops Opus per-call upfront budget reservation
from ~$2.40 to ~$0.38 — what makes low-wallet runs viable at all.
- Switch `findInitialComment` and `findExistingPaywallComment` to GraphQL
`issueOrPullRequest(number:) { comments(last: 100) }` (single round trip,
actually returns newest-100; REST listComments doesn't support sort/direction).
Also fixes a latent `comments.find()` returning the OLDEST match instead
of the most recent — now selects max(databaseId).
- Wrap `syncAccountUsage` in `prisma.$transaction` with `SELECT ... FOR UPDATE`
on the account row. Pre/post-balance reads inside the transaction enable
deterministic low-balance edge detection (currently logs; will push the
outreach.low_balance task once #592 lands).
Plan: .cursor/plans/router-low-balance-paywall.plan.md (in companion wiki-billing branch)
Pullfrog is a GitHub bot that brings the full power of your favorite coding agents into GitHub. It's open source and powered by GitHub Actions.
Tag @pullfrog — Tag @pullfrog in a comment anywhere in your repo. It will pull in any relevant context using the action's internal MCP server and perform the appropriate task.
Prompt from the web — Trigger arbitrary tasks from the Pullfrog dashboard
Automated triggers — Configure Pullfrog to trigger agent runs in response to specific events. Each of these triggers can be associated with custom prompt instructions.
issue created
issue labeled
PR created
PR review created
PR review requested
and more...
Pullfrog is the bridge between your preferred coding agents and GitHub. Use it for:
🤖 Coding tasks — Tell @pullfrog to implement something and it'll spin up a PR. If CI fails, it'll read the logs and attempt a fix automatically. It'll automatically address any PR reviews too.
🔍 PR review — Coding agents are great at reviewing PRs. Using the "PR created" trigger, you can configure Pullfrog to auto-review new PRs.
🤙 Issue management — Via the "issue created" trigger, Pullfrog can automatically respond to common questions, create implementation plans, and link to related issues/PRs. Or (if you're feeling lucky) you can prompt it to immediately attempt a PR addressing new issues.
Literally whatever — Want to have the agent automatically add docs to all new PRs? Cut a new release with agent-written notes on every commit to main? Pullfrog lets you do it.
Standalone Usage
You can also use pullfrog/pullfrog as a step in your own workflows. The action exposes a result output that can be consumed by subsequent steps.
Example: Auto-generate release notes on new tags
name:Releaseon:push:tags:['v*']permissions:contents:writejobs:release:runs-on:ubuntu-lateststeps:- name:Checkoutuses:actions/checkout@v4with:fetch-depth:0- name:Generate release notesid:notesuses:pullfrog/pullfrog@v0with:prompt:| Generate release notes for ${{ github.ref_name }}.
Compare commits between this tag and the previous tag.
Format as markdown: summary paragraph, then ### Features, ### Fixes, ### Breaking Changes sections.
Omit empty sections. Be concise.env:ANTHROPIC_API_KEY:${{ secrets.ANTHROPIC_API_KEY }}# write to file to avoid shell escaping issues with special characters- name:Create GitHub releaserun:| notesfile="$RUNNER_TEMP/release-notes-$GITHUB_RUN_ID.md"
printf '%s' "$NOTES" > "$notesfile"
gh release create ${{ github.ref_name }} --title "${{ github.ref_name }}" --notes-file "$notesfile"env:GH_TOKEN:${{ github.token }}NOTES:${{ steps.notes.outputs.result }}
Example: Structured Output with Zod Schema
You can force the agent to return structured JSON output by providing a JSON schema. This allows you to reliably parse and use the agent's response in subsequent workflow steps.
You can define your JSON schema directly or uou can use any validation library that converts to JSON Schema. Here's an example using Zod:
name:Release Checkon:pull_request:types:[closed]jobs:check-release:if:github.event.pull_request.merged == trueruns-on:ubuntu-lateststeps:- uses:actions/checkout@v4- name:Install dependenciesrun:npm install --no-save --no-package-lock zod @actions/core- name:Generate Schemaid:schemarun:| node -e '
import { z } from "zod";
import { setOutput } from "@actions/core";
const schema = z.object({
version: z.string().describe("Semantic version number (e.g. 1.0.0)"),
isBreaking: z.boolean().describe("Whether this release contains breaking changes"),
changelog: z.array(z.string()).describe("List of changes in this release"),
});
setOutput("schema", JSON.stringify(z.toJSONSchema(schema)));
'- name:Analyze PRid:analysisuses:pullfrog/pullfrog@v0with:prompt:| Analyze this PR and determine semantic versioning impact.
Return a JSON object matching the provided schema.output_schema:${{ steps.schema.outputs.schema }}env:ANTHROPIC_API_KEY:${{ secrets.ANTHROPIC_API_KEY }}- name:Process Resultrun:| # Parse the JSON result using fromJSON()
echo "Version: ${{ fromJSON(steps.analysis.outputs.result).version }}"
echo "Breaking: ${{ fromJSON(steps.analysis.outputs.result).isBreaking }}"