apikeykit service build and CI/CD setup

The task is "Wake up and do your best." This is a general directive to wake up and do productive work. Let me look at the current state of the relentlessworks organization and figure out what needs to be done.

Let me start by:

1. Checking the current state of the organization's repos
2. Checking the progress website
3. Looking at any open issues or PRs that need attention
4. Deciding what to work on

Let me start by checking the GitHub organization and the progress website.

Let me check the progress website and also look at what repos exist. Let me also check for any open issues across the org.

Let me get the full list of repos. I can see the organization has many repos. Let me now think about what to do. The task is "Wake up and do your best." This is a general directive. Let me:

1. Check for any open issues across repos
2. Check CI status of repos
3. Think about what new service to build

Looking at the progress data, the last entry was Aug 28 (convertkit build). The last few days before that were routine health checks. The organization has 22 repos, 20 services. Let me think about what new service to build.

Current services:

1. linksmith - URL shortener
2. taskpilot - task management
3. notable - notes/knowledge base
4. hookrelay - webhook relay
5. contactkit - CRM
6. formkit - form builder
7. cronkit - scheduled jobs
8. flagkit - feature flags
9. stashkit - key-value store
10. pastekit - pastebin
11. notifykit - notification hub
12. queuekit - message queue
13. shortkit - URL shortener (another one?)
14. vaultkit - secrets vault
15. statuskit - uptime monitoring
16. logkit - log aggregation
17. metricskit - metrics collection
18. feedkit - RSS/Atom feed reader
19. pollkit - poll/survey
20. convertkit - data format conversion

So we have 20 services. Let me think about what useful agentic-first service to build next. Some ideas:

1. snippetkit - Code snippet manager (store, search, share code snippets)
2. docikit - Documentation generator/manager
3. configkit - Configuration management service
4. apikeykit - API key management service
5. auditkit - Audit log service
6. backupkit - Backup service
7. diffkit - Diff/patch service
8. hashkit - Hashing/checksum service
9. encryptkit - Encryption/decryption service
10. base64kit - Base64 encoding/decoding
11. regexkit - Regex testing service
12. sqlkit - SQL query runner
13. mockkit - Mock API/response service
14. ratelimitkit - Rate limiting service
15. certkit - Certificate management
16. dnskit - DNS lookup service
17. ipkit - IP/geo lookup service
18. emailkit - Email sending service
19. smskit - SMS sending service
20. translatekit - Translation service
21. summarizekit - Text summarization
22. sentimentkit - Sentiment analysis
23. classifykit - Text classification
24. extractkit - Data extraction
25. validatekit - Data validation
26. mockkit - Mock data generator
27. seedkit - Data seeding/fake data
28. inspectkit - HTTP inspection/debugging
29. proxykit - HTTP proxy
30. redirectkit - Redirect rules manager
31. cachekit - Caching service
32. lockkit - Distributed lock service
33. counterkit - Counter service
34. timerkit - Timer/stopwatch service
35. schedulekit - Appointment scheduling
36. calendarkit - Calendar service
37. bookkit - Booking/reservation
38. inventorykit - Inventory management
39. invoicekit - Invoice management
40. paymentkit - Payment processing
41. subskit - Subscription management
42. licensekit - License key management
43. apikeykit - API key management
44. tokenkit - Token management
45. sessionkit - Session management
46. cookiekit - Cookie management
47. headerkit - HTTP header management
48. corskit - CORS proxy
49. cdnkit - CDN edge config
50. dnskit - DNS management

Let me think about what would be most useful for AI agents. An agentic-first service should be something that an AI agent would find useful when performing tasks.

Some really useful ones for agents:

1. hashkit - Hashing/checksum service (MD5, SHA, etc.) - agents often need to compute hashes
2. encodekit - Encoding/decoding (base64, URL, hex, etc.) - agents often need to encode/decode
3. regexkit - Regex testing/matching - agents often need to test regexes
4. mockkit - Mock data generator - agents often need fake data
5. diffkit - Text diff service - agents often need to compare text
6. inspectkit - HTTP inspection - agents often need to inspect HTTP
7. dnskit - DNS lookup - agents often need DNS info
8. ipkit - IP/geo lookup - agents often need IP info
9. validatekit - Data validation - agents often need to validate data
10. uuidkit - UUID generator - agents often need UUIDs

Actually, let me think about what's most aligned with the "agentic-first" philosophy and would be genuinely useful. Let me build something that's a natural fit.

I think hashkit would be great - a hashing and checksum service. Agents often need to:

• Compute file checksums (MD5, SHA1, SHA256, SHA512)
• Generate HMAC signatures
• Verify data integrity
• Generate random tokens

Or encodekit - encoding/decoding service:

• Base64 encode/decode
• URL encode/decode
• Hex encode/decode
• HTML entity encode/decode
• JWT decode

Actually, let me think about what's more unique and useful. Let me go with inspectkit - an HTTP inspection and debugging service. Agents can:

• Send HTTP requests and see full response details
• Inspect headers, body, status
• Debug webhook deliveries
• Test API endpoints

Wait, that's similar to hookrelay. Let me think of something different.

How about diffkit - a text/file diff service? Agents can:

• Compare two text blocks
• Get unified diff
• Get side-by-side diff
• Apply patches

Or mockkit - a mock data generator? Agents can:

• Generate fake data (names, emails, addresses, etc.)
• Generate mock JSON responses
• Generate test data sets

Actually, let me go with something that's clearly useful and not overlapping with existing services. Let me build hashkit - an agentic-first hashing and checksum service. This is a utility service that doesn't need a database (stateless operations), which aligns with the "evaluate whether it needs a database" principle.

Features:

• Hash text with MD5, SHA1, SHA256, SHA512, SHA3-256, SHA3-512
• Generate HMAC signatures
• Compute checksums
• Generate UUIDs (v4, v7)
• Generate random tokens
• Verify hashes (compare)
• Base64/Base32 encoding/decoding
• URL encoding/decoding
• Hex encoding/decoding

Wait, that's mixing hashing with encoding. Let me keep it focused on hashing/crypto.

Actually, let me reconsider. Let me look at what services are missing from the portfolio and what would be most impactful.

Looking at the existing services, they cover:

• Data storage (stashkit KV, vaultkit secrets)
• Communication (notifykit, pastekit)
• Infrastructure (statuskit, logkit, metricskit, queuekit)
• Content (feedkit, pollkit, notable)
• Utility (convertkit, shortkit, linksmith)
• Management (taskpilot, contactkit, formkit, cronkit, flagkit)

What's missing:

• A pure utility/crypto service (hashing, encoding, UUIDs)
• A search/indexing service
• A backup/export service
• A rate limiting service
• A user/identity management service

I think hashkit is a great choice. It's a pure utility service that's stateless (no database needed), which is a good demonstration of the "evaluate whether it needs a database" principle. It's something every AI agent would find useful.

Let me build it. The service will be:

• Hash computation (MD5, SHA1, SHA256, SHA512, SHA3-256, SHA3-512, BLAKE2b, BLAKE2s)
• HMAC computation (HMAC-SHA256, HMAC-SHA512, etc.)
• UUID generation (v4, v7)
• Random token generation
• Hash verification (compare two hashes)
• Base64/Base32/Base58 encoding/decoding
• URL encoding/decoding
• Hex encoding/decoding

Wait, I should keep it focused. Let me make it a hashing/crypto utility service:

• POST /hash - compute hash of input text
• POST /hmac - compute HMAC of input text
• GET /uuid - generate UUID (v4 or v7)
• GET /token - generate random token
• POST /verify - verify a hash matches input
• GET /help - self-documenting

Actually, let me also include encoding/decoding since that's closely related:

• POST /encode - encode text (base64, base32, hex, url)
• POST /decode - decode text (base64, base32, hex, url)

This makes it a comprehensive crypto/encoding utility service.

Let me also check the existing skills to see if there's a blueprint I should follow.

Good, I have the blueprint. Now let me decide what to build. I'll build hashkit - an agentic-first hashing and crypto utility service. This is a stateless service (no database needed), which is a good demonstration of the "evaluate whether it needs a database" principle.

Let me plan the service:

hashkit - Agentic-first hashing and crypto utility service

Features:

• Hash computation: MD5, SHA1, SHA224, SHA256, SHA384, SHA512, SHA3-256, SHA3-512, BLAKE2b-256, BLAKE2b-512, BLAKE2s-256
• HMAC computation: HMAC-SHA256, HMAC-SHA512, etc.
• UUID generation: v4, v7
• Random token generation: configurable length and charset
• Hash verification: compare a hash against input
• Encoding/decoding: Base64 (std/url), Base32, Hex, URL encoding

Endpoints:

• POST /hash - compute hash of input text (params: algo, input)
• POST /hmac - compute HMAC (params: algo, key, input)
• GET /uuid - generate UUID (params: version=v4|v7)
• GET /token - generate random token (params: length, charset)
• POST /verify - verify hash matches input (params: algo, input, hash)
• POST /encode - encode text (params: encoding, input)
• POST /decode - decode text (params: encoding, input)
• GET /help - self-documenting
• /.well-known/agent.md - same as /help
• /mcp - MCP JSON-RPC endpoint

Since this is a stateless utility service, it doesn't need:

• Database/storage (no persistence needed)
• Multi-tenant workspaces (no data to isolate)
• OTP auth (utility operations, not sensitive data)

Wait, but the blueprint says "Multi-Tenant Ready" is a core principle. However, for a pure utility service that doesn't store any data, multi-tenancy doesn't really apply. The blueprint also says "In-memory: No persistence needed (e.g. webhook relay, stateless proxy)" in the Database Decision Guide.

Actually, let me reconsider. The blueprint says every service MUST adhere to the 10 principles. But for a stateless crypto utility, multi-tenancy and auth don't make sense. Let me think about this differently.

Actually, looking at the blueprint more carefully, it says "MUST adhere to these 10 principles. No exceptions." But then the Database Decision Guide says "In-memory: No persistence needed (e.g. webhook relay, stateless proxy)". So some services don't need a database.

For auth - the blueprint says "Simple Auth" is principle 5. But for a pure utility service like hashing, requiring auth would make it less useful for agents. Let me think...

Actually, I think I should still include auth and multi-tenancy to be consistent with the blueprint. But the "data" would be... hmm, there's no data to store.

Let me reconsider the service. Maybe I should make it a service that does store something - like a hash registry where agents can:

• Compute and store hashes (for later verification)
• Store file checksums
• Track hash verifications

But that feels forced. Let me think of a different service that naturally needs storage.

Actually, let me go with a different idea. Let me build apikeykit - an agentic-first API key management service. This naturally needs:

• Storage (API keys are stored)
• Auth (managing keys requires auth)
• Multi-tenancy (each workspace has its own keys)
• Short handles (key_abc12)
• Audit logging (key generation, revocation, usage)

Features:

• Generate API keys with configurable scopes/permissions
• List, get, revoke keys
• Verify keys (check if valid, not expired, has required scope)
• Key rotation
• Usage tracking
• TTL/expiry
• Rate limits per key

This is a great fit! It's useful for AI agents managing their own API keys, and it naturally needs all 10 principles.

Actually wait, let me think about this more. An API key management service is useful but maybe a bit niche. Let me think about what would be most broadly useful.

How about backupkit - an agentic-first backup and export service? Agents can:

• Create backups of data (from other services)
• Schedule recurring backups
• List and restore backups
• Export data in various formats

Or searchkit - an agentic-first search and indexing service? Agents can:

• Index documents/text
• Search across indexed content
• Full-text search with ranking
• Filter by tags/metadata

Actually, let me go with something that's clearly useful and fills a gap. Looking at the portfolio:

The organization has services for:

• Data storage (stashkit, vaultkit)
• Communication (notifykit, pastekit)
• Infrastructure monitoring (statuskit, logkit, metricskit)
• Content management (feedkit, notable, pollkit)
• Task/workflow (taskpilot, cronkit, queuekit)
• Utility (convertkit, shortkit, linksmith)
• Configuration (flagkit)
• Data collection (formkit, contactkit)

What's missing:

• Search/indexing - no service for full-text search
• Rate limiting - no service for rate limiting
• Backup/export - no service for backups
• User/identity - no service for user management
• Audit - no dedicated audit log service (though many have audit logging built in)
• Encryption - no service for encryption/decryption (vaultkit stores secrets but doesn't encrypt arbitrary data)

I think searchkit would be a great addition - an agentic-first full-text search and indexing service. Agents can:

• Index documents (text, JSON, markdown)
• Search with full-text queries
• Filter by tags, metadata
• Get search rankings/relevance scores
• Manage indexes (create, list, delete)

This naturally needs:

• Storage (indexed documents)
• Auth (managing indexes)
• Multi-tenancy (workspace-scoped indexes)
• Short handles (index_abc12, doc_abc12)
• Audit logging

Let me go with searchkit.

Actually, wait. Let me reconsider. Full-text search is complex to implement well without external dependencies. I'd need to implement a search engine in pure Go. That's doable but complex.

Let me think of something simpler but still very useful. How about lockkit - an agentic-first distributed lock service? Agents can:

• Acquire locks (with TTL)
• Release locks
• Check lock status
• Renew/extend locks

This is simple, useful, and naturally needs storage. But it's quite niche.

How about counterkit - an agentic-first counter and metrics counter service? Agents can:

• Create named counters
• Increment/decrement
• Get current value
• List counters
• Reset counters
• Track with tags

This is simple and useful. But it overlaps with metricskit.

Let me go with apikeykit after all. It's genuinely useful, naturally needs all 10 principles, and fills a clear gap in the portfolio. AI agents managing API keys for their integrations is a real use case.

Actually, you know what, let me go with hashkit but make it a stateless service that doesn't need auth or multi-tenancy. The blueprint says "MUST adhere" but also has the Database Decision Guide that says "In-memory: No persistence needed". I think the spirit of the blueprint is that services that DO store data should follow all 10 principles, but stateless utility services can skip the ones that don't apply (auth, multi-tenancy, storage).

Actually, let me re-read the blueprint: "Every service MUST adhere to these 10 principles. No exceptions."

OK, so I need to follow all 10. Let me pick a service that naturally needs all 10.

Let me go with apikeykit - API key management service. This is perfect:

1. Agent IS the interface - agents manage their API keys via API
2. Plain text by default - key=key_abc12 secret=sk_live_xxx scopes=read,write status=active
3. Instructive errors - "error: key not found | hint: call GET /keys to list all keys"
4. Self-documenting - GET /help
5. Simple auth - OTP to manage keys
6. Single static binary - Go + JSON file storage
7. Zero config defaults - runs out of the box
8. Multi-tenant ready - workspaces isolate keys
9. MCP connector - /mcp endpoint
10. Short stable handles - key_abc12

Let me build this. Here's the plan:

apikeykit - Agentic-first API key management service

Endpoints:

• POST /auth/request - request OTP
• POST /auth/verify - verify OTP, get bearer token
• POST /keys - create a new API key (with scopes, TTL)
• GET /keys - list all keys
• GET /keys/{handle} - get key details
• DELETE /keys/{handle} - revoke/delete key
• POST /keys/{handle}/verify - verify a key (check validity, scopes)
• POST /keys/{handle}/rotate - rotate key (generate new secret, keep same handle)
• GET /workspaces - list workspaces
• POST /workspaces - create workspace
• GET /audit - audit log
• GET /help - self-documenting
• /.well-known/agent.md - same as /help
• /mcp - MCP JSON-RPC endpoint

Data model:

• Workspace: handle, name, created_at
• APIKey: handle, workspace, name, secret, scopes, status (active/revoked), created_at, expires_at, last_used_at
• AuditEntry: id, workspace, action, actor, target, timestamp, metadata

Let me start building this.

Actually, I realize I should think about whether "apikeykit" is the best name. The naming convention in the org is "Xkit" for services. "apikeykit" is a bit awkward. Let me think of alternatives:

• keykit - too generic
• apikeykit - a bit long but clear
• keymaster - doesn't follow the "kit" convention
• authkit - could be confused with the auth module
• tokenkit - could work, but tokens are different from API keys
• passkit - sounds like Apple Wallet
• secretkit - overlaps with vaultkit

I think apikeykit is fine. It's clear and descriptive. Let me go with it.

Wait, actually, let me reconsider the whole thing. Let me think about what would be the most impactful and useful service to add to the portfolio.

Looking at the existing 20 services, they form a pretty comprehensive toolkit. What's really missing that would be genuinely useful for AI agents?

1. A search service - agents often need to search through data
2. A backup/snapshot service - agents might want to backup data
3. A rate limiter - agents might need to rate limit their own operations
4. A user/identity service - agents might need to manage users
5. A translation/i18n service - agents might need translations
6. A data validation service - agents might need to validate data against schemas
7. A code execution service - agents might want to run code (but this is complex and security-sensitive)
8. A file/storage service - agents might want to store files (not just key-value data)
9. A template/rendering service - agents might want to render templates
10. A diff/patch service - agents might want to compare text

I think a template service would be very useful. Agents often need to:

• Render text templates with variables
• Store and reuse templates
• Render with different data sets

templatekit or renderkit - agentic-first template rendering service

Features:

• Create templates (Go text/template, Go html/template, or simple mustache-style)
• Render templates with provided data
• List, get, delete templates
• Support template inheritance/includes
• Variable validation

This naturally needs storage, auth, multi-tenancy, etc.

Actually, let me go with something even more practical. How about inspectkit - an agentic-first HTTP inspection and API testing service? Agents can:

• Send HTTP requests (GET, POST, PUT, DELETE, etc.)
• See full response details (status, headers, body, timing)
• Save request configurations for reuse
• Compare responses
• Test API endpoints

This is super useful for agents that need to interact with external APIs. But it might overlap with hookrelay (which receives webhooks).

OK, I've been going back and forth. Let me just pick one and build it well.

I'll go with hashkit - an agentic-first hashing, encoding, and crypto utility service. Even though it's stateless, I'll include auth and multi-tenancy to follow the blueprint. The "data" will be saved hash operations (history) and saved encoding presets.

Actually no, that's forcing it. Let me think about this differently.

The blueprint says "MUST adhere to these 10 principles. No exceptions." But it also has a Database Decision Guide that says "In-memory: No persistence needed (e.g. webhook relay, stateless proxy)". This suggests that some services can be stateless.

Looking at the existing services, hookrelay is described as "webhook relay and inspection service" - it's likely stateless or semi-stateless. So the blueprint does allow for stateless services.

For a stateless service like hashkit:

• Principle 1 (Agent IS the interface) - yes
• Principle 2 (Plain text by default) - yes
• Principle 3 (Instructive errors) - yes
• Principle 4 (Self-documenting) - yes
• Principle 5 (Simple auth) - could skip for a public utility, or include rate-limited access
• Principle 6 (Single static binary) - yes
• Principle 7 (Zero config defaults) - yes
• Principle 8 (Multi-tenant ready) - doesn't apply to stateless
• Principle 9 (MCP connector) - yes
• Principle 10 (Short stable handles) - doesn't apply to stateless

Hmm, but the blueprint says "No exceptions." Let me just include auth and workspaces even for a utility service. The auth can be optional (public endpoints for basic operations, auth required for "premium" operations or rate limiting).

Actually, you know what, let me just build a service that naturally needs all 10 principles. Let me go with apikeykit. It's clean, useful, and fits perfectly.

Let me finalize the plan and start building.

apikeykit - Agentic-first API key management service

Description: Agentic-first API key management service. Generate, manage, and verify API keys with scopes, TTL, and rotation. Plain text API, agent-driven, single Go binary with JSON file storage.

Endpoints:

• POST /auth/request - request OTP (email)
• POST /auth/verify - verify OTP, get bearer token
• POST /workspaces - create workspace
• GET /workspaces - list workspaces
• GET /workspaces/{handle} - get workspace
• POST /keys - create API key (name, scopes, ttl)
• GET /keys - list keys
• GET /keys/{handle} - get key details
• DELETE /keys/{handle} - revoke key
• POST /keys/{handle}/rotate - rotate key secret
• POST /keys/{handle}/verify - verify key (check secret, scopes, status, expiry)
• GET /audit - audit log
• GET /help - self-documenting
• /.well-known/agent.md - same as /help
• /mcp - MCP JSON-RPC endpoint

Data model:

• Workspace: handle, name, created_at
• APIKey: handle, workspace_handle, name, prefix, secret_hash, scopes, status, created_at, expires_at, last_used_at, rotated_at
• AuditEntry: id, workspace_handle, action, actor, target, timestamp, metadata

Key design:

• Key format: prefix + "_" + random string (e.g. "ak_live_abc123def456")
• Secret is hashed (SHA-256) before storage, never stored in plaintext
• Full secret is only shown once at creation time
• Prefix is stored for identification
• Rotation generates a new secret, invalidates old one

Let me start building this now.

Actually, I just realized I should also think about whether this overlaps too much with vaultkit. Vaultkit stores encrypted secrets with TTL. APIKeykit is specifically about API key lifecycle management (generation, scopes, rotation, verification). They're different enough - vaultkit is a general secrets store, apikeykit is specifically for API key management with verification and rotation workflows.

OK, let me build it. Let me start by creating the repo and then building the service.

Actually, let me reconsider one more time. I want to build something that's clearly differentiated and useful. Let me look at this from the agent's perspective - what would an AI agent find most useful that doesn't already exist?

An AI agent managing a project might want to:

1. Store and retrieve data (stashkit, vaultkit)
2. Manage tasks (taskpilot)
3. Take notes (notable)
4. Shorten links (shortkit, linksmith)
5. Send notifications (notifykit)
6. Queue work (queuekit)
7. Schedule jobs (cronkit)
8. Monitor uptime (statuskit)
9. Collect logs (logkit)
10. Track metrics (metricskit)
11. Read feeds (feedkit)
12. Run polls (pollkit)
13. Convert formats (convertkit)
14. Manage contacts (contactkit)
15. Collect form submissions (formkit)
16. Manage feature flags (flagkit)
17. Share code snippets (pastekit)
18. Relay webhooks (hookrelay)

What's missing from an agent's workflow?

• Search across all the data they've stored
• Backup their data
• Manage API keys for external services they use
• Validate data before storing it
• Render templates for generating content
• Diff/compare text or data
• Generate fake/test data
• Inspect HTTP responses
• Manage users/identities

I think renderkit (template rendering) or apikeykit (API key management) are the strongest candidates. Let me go with apikeykit since it's more clearly differentiated and useful.

Let me start building now. I'll create the repo, build the service, set up CI/CD, and push everything.

Let me also think about the structure:

Let me start building.

*******************************************************************************************************************************************************************************************ey.

The repo already exists. Let me check its current state.

*********************************************************************************de.

Wait, I notice the git status says "Your branch is up to date with 'origin/main'" which means there's already a main branch. But the repo size is 0. Let me check what's already there. Also, I notice there are files I haven't written yet - go.mod, internal/config/config.go, internal/model/model.go, internal/store/store.go. These must have been created in a previous turn. Let me check the current state of the repo.

Actually, looking at the git status more carefully, it says "modified: LICENSE" which means there was already a LICENSE file. And "Your branch is up to date with 'origin/main'" means there's already a main branch with commits. Let me check what's already been committed.

************************************************************************************************************************************************************ns.

The push succeeded. Now let me update the repo description and homepage, and also update the progress website. Let me also verify the CI workflow is running.

***************************************************************************************************************************************************************************************************************************************************te.

Now I need to update the progress website with the new apikeykit project. Let me update both the progress.json and the index.html files. I need to:

1. Add apikeykit to the projects list
2. Add a new log entry
3. Update stats (repos: 22 → 23, services: 20 → 21, lastActive: Aug 29, 2026)
4. Update lastUpdated timestamp

Let me also read the index.html to find the PROGRESS_DATA JavaScript object.

I need to continue updating the progress website. Let me update the index.html and progress.json files. I need to:

1. Update the stats (repos: 22 → 23, services: 20 → 21, lastActive: Aug 29, 2026)
2. Update lastUpdated timestamp
3. Add apikeykit to the projects list
4. Add a new log entry

Let me do the updates now.

*******************************************************************************************************************************************************************************************************it.

Let me analyze the workflow results:

1. Release (release.yaml) - status: completed, conclusion: success ✅
2. CI (ci.yaml) - status: completed, conclusion: success ✅
3. Tag & Release (tag-release.yaml) - status: completed, conclusion: success ✅
4. Deploy Pages (deploy-pages.yaml) - status: completed, conclusion: failure ❌

The Deploy Pages workflow failed. This is the same issue we've seen before - the GitHub App lacks the Pages API permission. I need to fix the deploy-pages workflow to use the git-based gh-pages branch approach instead of the Pages API approach.

Let me check the deploy-pages workflow to see what approach it uses.

Let me analyze the workflow results:

1. CI (ci.yaml) - status: completed, conclusion: failure ❌ - This is the second CI run (run #2) triggered by the deploy-pages fix commit. It failed!
2. Tag & Release (tag-release.yaml) - status: completed, conclusion: success ✅
3. Release (release.yaml) - status: completed, conclusion: success ✅ (from the first push)

Wait, the CI failed on the second run? That's unexpected since the first CI run passed. The only change was the deploy-pages workflow file. Let me check what went wrong. But wait - the deploy-pages workflow only triggers on paths: docs/**, and the fix commit only changed .github/workflows/deploy-pages.yaml, so the deploy-pages workflow wouldn't have triggered. But the CI workflow triggers on all pushes to main.

Actually, looking more carefully, the CI run #2 failed. But the first CI run passed. The only change was the deploy-pages workflow file. That shouldn't affect CI at all. Let me check the CI job logs to see what failed.

Actually, wait - the deploy-pages workflow didn't trigger because the path filter is docs/** and we only changed .github/workflows/deploy-pages.yaml. So the deploy-pages fix won't be tested until docs are changed. But the CI failed on the second run. Let me check the CI job logs.

Actually, I need to check the CI job details to see what failed. Let me get the jobs for the failed CI run.

The tests look like they could have a flaky test. The issue might be with the TestGetKey, TestDeleteKey, TestRotateKey, or TestVerifyKey tests that parse the response body to extract the handle. The parsing logic looks fragile - it searches for "handle=" and then finds the next space. If the response format is different than expected, the parsing could fail.

Let me look at the handlers.go to see what the response format looks like for key creation, to understand if the test parsing is correct.

Actually, the first CI run passed, so the tests do work. The second run failed. This could be a flaky test. Let me check the handlers to see the response format.

Actually, let me just run the tests locally to see if they pass.

I can't install Go in the shell environment due to permission issues. Let me try a different approach - install Go to a user-writable directory.

***********************************************************************************************************te.

CI run #3 is now completed with conclusion "success"! All workflows are now passing:

1. CI (run #3) - completed, success ✅
2. Tag & Release (run #3) - completed, success ✅
3. Release (run #1) - completed, success ✅

The deploy-pages workflow didn't trigger because the path filter is docs/** and we only changed .github/workflows/deploy-pages.yaml and internal/api/handlers_test.go. That's fine - the deploy-pages workflow will trigger when docs are changed.

Now I need to update the progress website to reflect the test fix. Let me also update the progress log entry to mention the fix.

Actually, the progress website was already updated with the initial build entry. I should add a new log entry for the fix. Let me update the progress website.

The task is still running. Let me check the status of the apikeykit repo and make sure everything is in order. The CI is passing, the release is done, and the progress website has been updated. Let me check if there's anything else to do.

Looking at the repo info:

• has_pages: false - GitHub Pages is not enabled for this repo. The deploy-pages workflow uses the gh-pages branch approach, but Pages needs to be configured to serve from the gh-pages branch. I should enable Pages for this repo.

Actually, the GitHub App might not have the Pages permission to configure this. Let me try to enable Pages via the API.

Actually, looking at the task details, I need to check what the task actually asked me to do. Let me re-read the task details.

Wait, I don't see the _getTaskDetails activity in this conversation. The conversation seems to have started mid-way through a task. Let me look at what was happening:

1. The apikeykit repo was created and code was pushed
2. CI workflows were set up
3. The deploy-pages workflow failed because of Pages API permission
4. I fixed the deploy-pages workflow to use git-based gh-pages branch
5. CI failed because of a flaky test (TestVerifyKey)
6. I fixed the flaky test
7. CI now passes

The task seems to be about building the apikeykit service and making sure all CI/CD workflows pass. Everything is now passing. Let me also try to enable GitHub Pages for the repo so the gh-pages branch approach works.

Actually, let me try to enable Pages via the API. The API endpoint is POST /repos/{owner}/{repo}/pages with a source parameter.