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# Solve.mjs Log - 2026-05-15T17:39:47.701Z
[2026-05-15T17:39:47.702Z] [INFO] 📁 Log file: /home/box/solve-2026-05-15T17-39-47-701Z.log
[2026-05-15T17:39:47.703Z] [INFO] (All output will be logged here)
[2026-05-15T17:39:48.315Z] [INFO]
[2026-05-15T17:39:48.316Z] [INFO] 🚀 solve v1.69.15
[2026-05-15T17:39:48.316Z] [INFO] 🔧 Raw command executed:
[2026-05-15T17:39:48.316Z] [INFO] /home/box/.nvm/versions/node/v20.20.2/bin/node /home/box/.bun/bin/solve https://github.com/link-assistant/formal-ai/issues/27 --model opus --tool claude --attach-logs --verbose --no-tool-check --disable-report-issue --language en
[2026-05-15T17:39:48.317Z] [INFO]
[2026-05-15T17:39:48.352Z] [INFO]
[2026-05-15T17:39:48.354Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED
[2026-05-15T17:39:48.354Z] [INFO]
[2026-05-15T17:39:48.354Z] [INFO] This option will upload the complete solution draft log file to the Pull Request.
[2026-05-15T17:39:48.354Z] [INFO] The log may contain sensitive information such as:
[2026-05-15T17:39:48.354Z] [INFO] • API keys, tokens, or secrets
[2026-05-15T17:39:48.355Z] [INFO] • File paths and directory structures
[2026-05-15T17:39:48.355Z] [INFO] • Command outputs and error messages
[2026-05-15T17:39:48.355Z] [INFO] • Internal system information
[2026-05-15T17:39:48.355Z] [INFO]
[2026-05-15T17:39:48.355Z] [INFO] ⚠️ DO NOT use this option with public repositories or if the log
[2026-05-15T17:39:48.355Z] [INFO] might contain sensitive data that should not be shared publicly.
[2026-05-15T17:39:48.355Z] [INFO]
[2026-05-15T17:39:48.356Z] [INFO] Continuing in 5 seconds... (Press Ctrl+C to abort)
[2026-05-15T17:39:48.356Z] [INFO]
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[2026-05-15T17:39:53.363Z] [STDOUT] Proceeding with log attachment enabled.
[2026-05-15T17:39:53.363Z] [INFO]
[2026-05-15T17:39:53.403Z] [INFO] 💾 Disk space check: 27627MB available (2048MB required) ✅
[2026-05-15T17:39:53.405Z] [INFO] 🧠 Memory check: 10395MB available, swap: none, total: 10395MB (256MB required) ✅
[2026-05-15T17:39:53.424Z] [INFO] ⏩ Skipping tool connection validation (dry-run mode or skip-tool-connection-check enabled)
[2026-05-15T17:39:53.424Z] [INFO] ⏩ Skipping GitHub authentication check (dry-run mode or skip-tool-connection-check enabled)
[2026-05-15T17:39:53.425Z] [INFO] 📋 URL validation:
[2026-05-15T17:39:53.425Z] [INFO] Input URL: https://github.com/link-assistant/formal-ai/issues/27
[2026-05-15T17:39:53.426Z] [INFO] Is Issue URL: true
[2026-05-15T17:39:53.426Z] [INFO] Is PR URL: false
[2026-05-15T17:39:53.426Z] [INFO] 🔍 --auto-accept-invite: Checking for pending invitation to link-assistant/formal-ai...
[2026-05-15T17:39:53.721Z] [INFO] Found 1 total pending repo invitation(s)
[2026-05-15T17:39:53.721Z] [INFO] No pending repository invitation found for link-assistant/formal-ai
[2026-05-15T17:39:54.134Z] [INFO] Found 0 total pending org invitation(s)
[2026-05-15T17:39:54.135Z] [INFO] No pending organization invitation found for link-assistant
[2026-05-15T17:39:54.135Z] [INFO] ℹ️ --auto-accept-invite: No pending invitation found for link-assistant/formal-ai or organization link-assistant
[2026-05-15T17:39:54.135Z] [INFO] 🔍 Checking repository access for auto-fork...
[2026-05-15T17:39:54.604Z] [STDOUT] {"admin":true,"maintain":true,"pull":true,"push":true,"triage":true}
[2026-05-15T17:39:55.064Z] [STDOUT] public
[2026-05-15T17:39:55.069Z] [INFO] Repository visibility: public
[2026-05-15T17:39:55.070Z] [INFO] ✅ Auto-fork: Write access detected to public repository, working directly on repository
[2026-05-15T17:39:55.071Z] [INFO] 🔍 Checking repository write permissions...
[2026-05-15T17:39:55.478Z] [STDOUT] {"admin":true,"maintain":true,"pull":true,"push":true,"triage":true}
[2026-05-15T17:39:55.482Z] [INFO] ✅ Repository write access: Confirmed
[2026-05-15T17:39:55.747Z] [STDOUT] link-assistant
[2026-05-15T17:39:56.171Z] [STDOUT] link-assistant/formal-ai
[2026-05-15T17:39:56.556Z] [STDOUT] {"number":27,"title":"Fixes and improvements"}
[2026-05-15T17:39:57.041Z] [STDOUT] public
[2026-05-15T17:39:57.046Z] [INFO] Repository visibility: public
[2026-05-15T17:39:57.046Z] [INFO] Auto-cleanup default: false (repository is public)
[2026-05-15T17:39:57.047Z] [INFO] 🔍 Auto-continue enabled: Checking for existing PRs for issue #27...
[2026-05-15T17:39:57.048Z] [INFO] 🔍 Checking for existing branches in link-assistant/formal-ai...
[2026-05-15T17:39:57.384Z] [STDOUT] gh-pages
issue-1-040a21d753ca
issue-1-70671eb0ba20
issue-4-1e8c9b0d59e2
issue-6-d8cf53772b56
issue-8-2ef42ad47e3f
issue-10-528ad8299bfa
issue-12-8475693e3ce5
issue-14-cea6df691135
issue-16-f76f85f72657
issue-18-65b2eb796b44
issue-20-4275e3280a5a
issue-21-0c5ffd5a0979
issue-24-7fe6ff27055d
issue-24-9083bf15af21
main
[2026-05-15T17:39:57.781Z] [STDOUT] []
[2026-05-15T17:39:57.786Z] [INFO] 📝 No existing PRs found for issue #27 - creating new PR
[2026-05-15T17:39:57.786Z] [INFO] 📝 Issue mode: Working with issue #27
[2026-05-15T17:39:57.787Z] [INFO]
[2026-05-15T17:39:57.787Z] [INFO] Creating temporary directory: /tmp/gh-issue-solver-1778866797787
[2026-05-15T17:39:57.790Z] [INFO]
[2026-05-15T17:39:57.790Z] [INFO] 📥 Cloning repository: link-assistant/formal-ai
[2026-05-15T17:39:58.191Z] [STDOUT] Cloning into '/tmp/gh-issue-solver-1778866797787'...
[2026-05-15T17:39:59.405Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1778866797787
[2026-05-15T17:39:59.412Z] [STDOUT] origin https://github.com/link-assistant/formal-ai.git (fetch)
origin https://github.com/link-assistant/formal-ai.git (push)
[2026-05-15T17:39:59.463Z] [STDOUT] main
[2026-05-15T17:39:59.473Z] [STDOUT] c86**********************************7b8
[2026-05-15T17:39:59.474Z] [INFO]
[2026-05-15T17:39:59.474Z] [INFO] 📌 Default branch: main
[2026-05-15T17:39:59.520Z] [INFO]
[2026-05-15T17:39:59.520Z] [INFO] 🌿 Creating branch: issue-27-2a30a20dbe1d from main (default)
[2026-05-15T17:39:59.563Z] [STDERR] Switched to a new branch 'issue-27-2a30a20dbe1d'
[2026-05-15T17:39:59.564Z] [STDOUT] branch 'issue-27-2a30a20dbe1d' set up to track 'origin/main'.
[2026-05-15T17:39:59.564Z] [INFO] 🔍 Verifying: Branch creation...
[2026-05-15T17:39:59.572Z] [STDOUT] issue-27-2a30a20dbe1d
[2026-05-15T17:39:59.573Z] [INFO] ✅ Branch created: issue-27-2a30a20dbe1d
[2026-05-15T17:39:59.573Z] [INFO] ✅ Current branch: issue-27-2a30a20dbe1d
[2026-05-15T17:39:59.574Z] [INFO] Branch operation: Create new branch
[2026-05-15T17:39:59.574Z] [INFO] Branch verification: Matches expected
[2026-05-15T17:39:59.576Z] [INFO]
[2026-05-15T17:39:59.576Z] [INFO] 🚀 Auto PR creation: ENABLED
[2026-05-15T17:39:59.576Z] [INFO] Creating: Initial commit and draft PR...
[2026-05-15T17:39:59.576Z] [INFO]
[2026-05-15T17:39:59.577Z] [INFO] Using .gitkeep mode (--claude-file=false, --gitkeep-file=true, --auto-gitkeep-file=true)
[2026-05-15T17:39:59.577Z] [INFO] 📝 Creating: .gitkeep (default)
[2026-05-15T17:39:59.577Z] [INFO] Issue URL from argv['issue-url']: https://github.com/link-assistant/formal-ai/issues/27
[2026-05-15T17:39:59.577Z] [INFO] Issue URL from argv._[0]: https://github.com/link-assistant/formal-ai/issues/27
[2026-05-15T17:39:59.578Z] [INFO] Final issue URL: https://github.com/link-assistant/formal-ai/issues/27
[2026-05-15T17:39:59.578Z] [INFO] .gitkeep already exists, appending timestamp...
[2026-05-15T17:39:59.578Z] [INFO] ✅ File created: .gitkeep
[2026-05-15T17:39:59.578Z] [INFO] 📦 Adding file: To git staging
[2026-05-15T17:39:59.665Z] [STDOUT] M .gitkeep
[2026-05-15T17:39:59.666Z] [INFO] Git status after add: M .gitkeep
[2026-05-15T17:39:59.666Z] [INFO] 📝 Creating commit: With .gitkeep file
[2026-05-15T17:39:59.710Z] [STDOUT] [issue-27-2a30a20dbe1d 372e643] Initial commit with task details
1 file changed, 2 insertions(+), 1 deletion(-)
[2026-05-15T17:39:59.710Z] [INFO] ✅ Commit created: Successfully with .gitkeep
[2026-05-15T17:39:59.711Z] [INFO] Commit output: [issue-27-2a30a20dbe1d 372e643] Initial commit with task details
[2026-05-15T17:39:59.711Z] [INFO] 1 file changed, 2 insertions(+), 1 deletion(-)
[2026-05-15T17:39:59.718Z] [STDOUT] 372**********************************ee6
[2026-05-15T17:39:59.719Z] [INFO] Commit hash: 372e643...
[2026-05-15T17:39:59.725Z] [STDOUT] 372e643 Initial commit with task details
[2026-05-15T17:39:59.726Z] [INFO] Latest commit: 372e643 Initial commit with task details
[2026-05-15T17:39:59.773Z] [INFO] Git status: clean
[2026-05-15T17:39:59.781Z] [STDOUT] origin https://github.com/link-assistant/formal-ai.git (fetch)
origin https://github.com/link-assistant/formal-ai.git (push)
[2026-05-15T17:39:59.782Z] [INFO] Remotes: origin https://github.com/link-assistant/formal-ai.git (fetch)
[2026-05-15T17:39:59.791Z] [STDOUT] * issue-27-2a30a20dbe1d 372e643 [origin/main: ahead 1] Initial commit with task details
main c8632c1 [origin/main] chore: release v0.26.0
[2026-05-15T17:39:59.792Z] [INFO] Branch info: * issue-27-2a30a20dbe1d 372e643 [origin/main: ahead 1] Initial commit with task details
[2026-05-15T17:39:59.792Z] [INFO] main c8632c1 [origin/main] chore: release v0.26.0
[2026-05-15T17:39:59.792Z] [INFO] 📤 Pushing branch: To remote repository...
[2026-05-15T17:39:59.792Z] [INFO] Push command: git push -u origin issue-27-2a30a20dbe1d
[2026-05-15T17:40:00.974Z] [STDOUT] remote:
remote: Create a pull request for 'issue-27-2a30a20dbe1d' on GitHub by visiting:
remote: https://github.com/link-assistant/formal-ai/pull/new/issue-27-2a30a20dbe1d
remote:
[2026-05-15T17:40:00.975Z] [STDOUT] To https://github.com/link-assistant/formal-ai.git
* [new branch] issue-27-2a30a20dbe1d -> issue-27-2a30a20dbe1d
[2026-05-15T17:40:00.983Z] [STDOUT] branch 'issue-27-2a30a20dbe1d' set up to track 'origin/issue-27-2a30a20dbe1d'.
[2026-05-15T17:40:00.984Z] [INFO] Push exit code: 0
[2026-05-15T17:40:00.985Z] [INFO] Push output: remote:
[2026-05-15T17:40:00.985Z] [INFO] remote: Create a pull request for 'issue-27-2a30a20dbe1d' on GitHub by visiting:
[2026-05-15T17:40:00.985Z] [INFO] remote: https://github.com/link-assistant/formal-ai/pull/new/issue-27-2a30a20dbe1d
[2026-05-15T17:40:00.985Z] [INFO] remote:
[2026-05-15T17:40:00.985Z] [INFO] To https://github.com/link-assistant/formal-ai.git
[2026-05-15T17:40:00.985Z] [INFO] * [new branch] issue-27-2a30a20dbe1d -> issue-27-2a30a20dbe1d
[2026-05-15T17:40:00.985Z] [INFO] branch 'issue-27-2a30a20dbe1d' set up to track 'origin/issue-27-2a30a20dbe1d'.
[2026-05-15T17:40:00.985Z] [INFO] ✅ Branch pushed: Successfully to remote
[2026-05-15T17:40:00.985Z] [INFO] Push output: remote:
[2026-05-15T17:40:00.985Z] [INFO] remote: Create a pull request for 'issue-27-2a30a20dbe1d' on GitHub by visiting:
[2026-05-15T17:40:00.985Z] [INFO] remote: https://github.com/link-assistant/formal-ai/pull/new/issue-27-2a30a20dbe1d
[2026-05-15T17:40:00.985Z] [INFO] remote:
[2026-05-15T17:40:00.985Z] [INFO] To https://github.com/link-assistant/formal-ai.git
[2026-05-15T17:40:00.985Z] [INFO] * [new branch] issue-27-2a30a20dbe1d -> issue-27-2a30a20dbe1d
[2026-05-15T17:40:00.985Z] [INFO] branch 'issue-27-2a30a20dbe1d' set up to track 'origin/issue-27-2a30a20dbe1d'.
[2026-05-15T17:40:00.986Z] [INFO] Waiting for GitHub to sync...
[2026-05-15T17:40:03.506Z] [STDOUT] 1
[2026-05-15T17:40:03.512Z] [INFO] Compare API check: 1 commit(s) ahead of main
[2026-05-15T17:40:03.512Z] [INFO] GitHub compare API ready: 1 commit(s) found
[2026-05-15T17:40:03.905Z] [STDOUT] issue-27-2a30a20dbe1d
[2026-05-15T17:40:03.911Z] [INFO] Branch verified on GitHub: issue-27-2a30a20dbe1d
[2026-05-15T17:40:04.288Z] [STDOUT] 372**********************************ee6
[2026-05-15T17:40:04.294Z] [INFO] Remote commit SHA: 372e643...
[2026-05-15T17:40:04.294Z] [INFO] 📋 Getting issue: Title from GitHub...
[2026-05-15T17:40:04.616Z] [STDOUT] Fixes and improvements
[2026-05-15T17:40:04.621Z] [INFO] Issue title: "Fixes and improvements"
[2026-05-15T17:40:04.622Z] [INFO] 👤 Getting user: Current GitHub account...
[2026-05-15T17:40:04.956Z] [STDOUT] konard
[2026-05-15T17:40:04.962Z] [INFO] Current user: konard
[2026-05-15T17:40:05.297Z] [INFO] User has collaborator access
[2026-05-15T17:40:05.298Z] [INFO] User has collaborator access
[2026-05-15T17:40:05.298Z] [INFO] 🔄 Fetching: Latest main branch...
[2026-05-15T17:40:05.633Z] [INFO] ✅ Base updated: Fetched latest main
[2026-05-15T17:40:05.634Z] [INFO] 🔍 Checking: Commits between branches...
[2026-05-15T17:40:05.646Z] [STDOUT] 1
[2026-05-15T17:40:05.646Z] [INFO] Commits ahead of origin/main: 1
[2026-05-15T17:40:05.647Z] [INFO] ✅ Commits found: 1 commit(s) ahead
[2026-05-15T17:40:05.647Z] [INFO] 🔀 Creating PR: Draft pull request...
[2026-05-15T17:40:05.648Z] [INFO] 🎯 Target branch: main (default)
[2026-05-15T17:40:05.648Z] [INFO] PR Title: [WIP] Fixes and improvements
[2026-05-15T17:40:05.649Z] [INFO] Base branch: main
[2026-05-15T17:40:05.649Z] [INFO] Head branch: issue-27-2a30a20dbe1d
[2026-05-15T17:40:05.650Z] [INFO] Assignee: konard
[2026-05-15T17:40:05.650Z] [INFO] PR Body:
[2026-05-15T17:40:05.650Z] [INFO] ## 🤖 AI-Powered Solution Draft
[2026-05-15T17:40:05.650Z] [INFO]
[2026-05-15T17:40:05.650Z] [INFO] This pull request is being automatically generated to solve issue #27.
[2026-05-15T17:40:05.650Z] [INFO]
[2026-05-15T17:40:05.650Z] [INFO] ### 📋 Issue Reference
[2026-05-15T17:40:05.650Z] [INFO] Fixes #27
[2026-05-15T17:40:05.650Z] [INFO]
[2026-05-15T17:40:05.650Z] [INFO] ### 🚧 Status
[2026-05-15T17:40:05.650Z] [INFO] **Work in Progress** - The AI assistant is currently analyzing and implementing the solution draft.
[2026-05-15T17:40:05.650Z] [INFO]
[2026-05-15T17:40:05.650Z] [INFO] ### 📝 Implementation Details
[2026-05-15T17:40:05.650Z] [INFO] _Details will be added as the solution draft is developed..._
[2026-05-15T17:40:05.650Z] [INFO]
[2026-05-15T17:40:05.650Z] [INFO] ---
[2026-05-15T17:40:05.650Z] [INFO] *This PR was created automatically by the AI issue solver*
[2026-05-15T17:40:05.651Z] [INFO] Command: cd "/tmp/gh-issue-solver-1778866797787" && gh pr create --draft --title "$(cat '/tmp/pr-title-1778866805651.txt')" --body-file "/tmp/pr-body-1778866805650.md" --base main --head issue-27-2a30a20dbe1d --repo link-assistant/formal-ai --assignee konard
[2026-05-15T17:40:09.009Z] [INFO] gh pr create stdout: https://github.com/link-assistant/formal-ai/pull/28
[2026-05-15T17:40:09.010Z] [INFO] 🔍 Verifying: PR creation...
[2026-05-15T17:40:11.435Z] [STDOUT] {"number":28,"state":"OPEN","url":"https://github.com/link-assistant/formal-ai/pull/28"}
[2026-05-15T17:40:11.441Z] [INFO] ✅ Verification: PR exists on GitHub (attempt 1/5)
[2026-05-15T17:40:11.441Z] [INFO] ✅ PR created: #28
[2026-05-15T17:40:11.441Z] [INFO] 📍 PR URL: https://github.com/link-assistant/formal-ai/pull/28
[2026-05-15T17:40:11.441Z] [INFO] 👤 Assigned to: konard
[2026-05-15T17:40:11.442Z] [INFO] 🔗 Linking: Issue #27 to PR #28...
[2026-05-15T17:40:11.766Z] [STDOUT] I_kwDOSbOoU88AAAABCZZHQg
[2026-05-15T17:40:11.771Z] [INFO] Issue node ID: I_kwDOSbOoU88AAAABCZZHQg
[2026-05-15T17:40:12.125Z] [STDOUT] PR_kwDOSbOoU87cAsBw
[2026-05-15T17:40:12.132Z] [INFO] PR node ID: PR_kwDOSbOoU87cAsBw
[2026-05-15T17:40:12.490Z] [STDOUT] 27
[2026-05-15T17:40:12.494Z] [INFO] ✅ Link verified: Issue #27 → PR #28
[2026-05-15T17:40:12.870Z] [STDOUT] konard
[2026-05-15T17:40:12.875Z] [INFO] 👤 Current user: konard
[2026-05-15T17:40:12.875Z] [INFO]
[2026-05-15T17:40:12.875Z] [INFO] 📊 Comment counting conditions:
[2026-05-15T17:40:12.875Z] [INFO] prNumber: 28
[2026-05-15T17:40:12.876Z] [INFO] branchName: issue-27-2a30a20dbe1d
[2026-05-15T17:40:12.876Z] [INFO] isContinueMode: false
[2026-05-15T17:40:12.876Z] [INFO] Will count comments: true
[2026-05-15T17:40:12.876Z] [INFO] 💬 Counting comments: Checking for new comments since last commit...
[2026-05-15T17:40:12.876Z] [INFO] PR #28 on branch: issue-27-2a30a20dbe1d
[2026-05-15T17:40:12.876Z] [INFO] Owner/Repo: link-assistant/formal-ai
[2026-05-15T17:40:12.876Z] [INFO] Repository path: /tmp/gh-issue-solver-1778866797787
[2026-05-15T17:40:12.887Z] [STDOUT] 2026-05-15T17:39:59+00:00
[2026-05-15T17:40:12.888Z] [INFO] 📅 Last commit time: 2026-05-15T17:39:59.000Z
[2026-05-15T17:40:13.175Z] [STDOUT] []
[2026-05-15T17:40:13.548Z] [STDOUT] []
[2026-05-15T17:40:13.876Z] [STDOUT] []
[2026-05-15T17:40:13.881Z] [INFO] 💬 New PR comments: 0
[2026-05-15T17:40:13.882Z] [INFO] 💬 New PR review comments: 0
[2026-05-15T17:40:13.882Z] [INFO] 💬 New issue comments: 0
[2026-05-15T17:40:13.882Z] [INFO] Total new comments: 0
[2026-05-15T17:40:13.882Z] [INFO] Comment lines to add: No (saving tokens)
[2026-05-15T17:40:13.882Z] [INFO] PR review comments fetched: 0
[2026-05-15T17:40:13.883Z] [INFO] PR conversation comments fetched: 0
[2026-05-15T17:40:13.883Z] [INFO] Total PR comments checked: 0
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Also we should support `Import memory`, `Import new memory`, `Import your new memory` as click to `import memory`, which will answer with a message like opening dialog, and open file selection dialog immediately, so user can select.\n- Also we need add `Conversations` section to the left and `New conversation` button on top, also on page referesh, or commining back after sometime we should keep showing last conversation.\n- Each conversation memory should be recorded separately in the entire memory of the system, so it should be able always recall any messages, when asked about previous message, first message, and also messages from other conversations in natural language.\n- We need to add summarize tool or skill, that will take any conversation, formalize it, and do actual logical summarization without any AIs (neural networks).\n- We need clear switcher between chat mode and agent mode, in agent mode agent receives task and operates autonomously taking requirements/goal converting it to plan and executing on it, by default all actions are executed in docker (or WebVM) so if user wants to access any data from the computer he is encouraged to copy these files to docker, where automatically git repository should be created, and after work is done we can ask user to accept or reject changes to his file system on his machine.\n- Agent should by default work in ask permissions mode on user's actual host machine, and autonomously inside docker/webvm, without user confirmation but with automatic git versioning after each and every change (that are meaningfully joined and accomplish single step of the plan.\n- We should prefer use data as rules/code or put code in data, and compile on execution.\n- Most of our code should be focused on interfacing with real world and between components.\n- Actual logic of the formal AI agent should be placed in seed data, as it should be configurable.\n\n<img width=\"686\" height=\"1111\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/3214d3b3-126e-460e-a698-382bcbcb2dea\" />\n\n- Most of the space in mobile view should be dedicated chat and input field, on top buttons should be containing only emojies (not labels), menu with all buttons + all left sidebar sections. 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[2026-05-15T17:40:19.946Z] [INFO] 🎭 Playwright MCP detected - enabling browser automation hints
[2026-05-15T17:40:20.112Z] [INFO] 👁️ Model vision capability: supported
[2026-05-15T17:40:20.113Z] [INFO]
[2026-05-15T17:40:20.113Z] [INFO] 📝 Final prompt structure:
[2026-05-15T17:40:20.113Z] [INFO] Characters: 272
[2026-05-15T17:40:20.114Z] [INFO] System prompt characters: 14941
[2026-05-15T17:40:20.114Z] [INFO] Feedback info: Included
[2026-05-15T17:40:20.117Z] [INFO]
[2026-05-15T17:40:20.117Z] [INFO] 🤖 Executing Claude: OPUS
[2026-05-15T17:40:20.119Z] [INFO] Model: opus
[2026-05-15T17:40:20.119Z] [INFO] Working directory: /tmp/gh-issue-solver-1778866797787
[2026-05-15T17:40:20.119Z] [INFO] Branch: issue-27-2a30a20dbe1d
[2026-05-15T17:40:20.119Z] [INFO] Prompt length: 272 chars
[2026-05-15T17:40:20.119Z] [INFO] System prompt length: 14941 chars
[2026-05-15T17:40:20.119Z] [INFO] Feedback info included: Yes (1 lines)
[2026-05-15T17:40:20.134Z] [INFO] 📈 System resources before execution:
[2026-05-15T17:40:20.135Z] [INFO] Memory: MemFree: 5381904 kB
[2026-05-15T17:40:20.135Z] [INFO] Load: 0.33 0.39 0.34 1/433 3327844
[2026-05-15T17:40:20.136Z] [INFO] 🧭 Claude Code quiet config verified at /home/box/.claude/settings.json: settings[autoMemoryEnabled=false, spinnerTipsEnabled=false, awaySummaryEnabled=false, feedbackSurveyRate=0, includeCoAuthoredBy=false, includeGitInstructions=true, prefersReducedMotion=true, showThinkingSummaries=false, skipDangerousModePermissionPrompt=true, viewMode="verbose", attribution={"commit":"","pr":""}, permissions={"defaultMode":"bypassPermissions"}], env[CLAUDE_CODE_DISABLE_AUTO_MEMORY=1, CLAUDE_CODE_DISABLE_CRON=1, CLAUDE_CODE_DISABLE_TERMINAL_TITLE=1, CLAUDE_CODE_DISABLE_CLAUDE_MDS=1, CLAUDE_CODE_DISABLE_FAST_MODE=1, CLAUDE_CODE_DISABLE_FEEDBACK_SURVEY=1, CLAUDE_CODE_DISABLE_MOUSE=1, CLAUDE_CODE_ENABLE_AWAY_SUMMARY=0, CLAUDE_CODE_ENABLE_TASKS=1, CLAUDE_CODE_MAX_TOOL_USE_CONCURRENCY=4, CLAUDE_CODE_RESUME_INTERRUPTED_TURN=1, DISABLE_FEEDBACK_COMMAND=1]
[2026-05-15T17:40:20.138Z] [INFO] 🧰 Created filtered MCP config (excluding 'claude.ai gmail*', 'claude.ai google drive*', 'claude.ai google calendar*'): /tmp/claude-mcp-no-useless-1778866820137-3326215.json
[2026-05-15T17:40:20.138Z] [INFO] 🧰 Useless MCP servers (claude.ai Gmail/Drive/Calendar) disabled for this session via --strict-mcp-config (issue #1627)
[2026-05-15T17:40:20.138Z] [INFO] 🧰 Disallowed 16 useless Claude Code tool(s) for this session (issue #1627)
[2026-05-15T17:40:20.138Z] [INFO]
[2026-05-15T17:40:20.138Z] [INFO] 📝 Raw command:
[2026-05-15T17:40:20.138Z] [INFO] (cd "/tmp/gh-issue-solver-1778866797787" && claude --output-format stream-json --verbose --dangerously-skip-permissions --model claude-opus-4-7 --strict-mcp-config --mcp-config "/tmp/claude-mcp-no-useless-1778866820137-3326215.json" --disallowedTools AskUserQuestion CronCreate CronDelete CronList EnterPlanMode EnterWorktree ExitPlanMode ExitWorktree Monitor NotebookEdit PushNotification RemoteTrigger ScheduleWakeup mcp__claude_ai_Gmail__* mcp__claude_ai_Google_Drive__* mcp__claude_ai_Google_Calendar__* -p "Issue to solve: https://github.com/link-assistant/formal-ai/issues/27
[2026-05-15T17:40:20.138Z] [INFO] Your prepared branch: issue-27-2a30a20dbe1d
[2026-05-15T17:40:20.138Z] [INFO] Your prepared working directory: /tmp/gh-issue-solver-1778866797787
[2026-05-15T17:40:20.138Z] [INFO] Your prepared Pull Request: https://github.com/link-assistant/formal-ai/pull/28
[2026-05-15T17:40:20.138Z] [INFO]
[2026-05-15T17:40:20.138Z] [INFO] Proceed.
[2026-05-15T17:40:20.138Z] [INFO] " --append-system-prompt "You are an AI issue solver. When you investigate issues, prefer root-cause analysis. When you communicate, prefer facts you have checked yourself or cite sources that provide evidence, such as quoted code or references to documents or web pages. When you are unsure or working from assumptions, test them yourself or ask clarifying questions.
[2026-05-15T17:40:20.138Z] [INFO] General guidelines.
[2026-05-15T17:40:20.138Z] [INFO] - When you execute commands and the output becomes large, save the logs to files for easier review.
[2026-05-15T17:40:20.138Z] [INFO] - When running commands, avoid setting a timeout yourself. Let them run as long as needed. The default timeout of 2 minutes is usually enough, and once commands finish, review the logs in the file.
[2026-05-15T17:40:20.138Z] [INFO] - When running sudo commands, especially package installations like apt-get, yum, or npm install, run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command.
[2026-05-15T17:40:20.138Z] [INFO] - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps:
[2026-05-15T17:40:20.138Z] [INFO] Step 1: List recent runs with timestamps using: gh run list --repo link-assistant/formal-ai --branch issue-27-2a30a20dbe1d --limit 5 --json databaseId,conclusion,createdAt,headSha
[2026-05-15T17:40:20.138Z] [INFO] Step 2: Verify runs are after the latest commit by checking timestamps and SHA
[2026-05-15T17:40:20.138Z] [INFO] Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo link-assistant/formal-ai --log > ci-logs/{workflow}-{run-id}.log
[2026-05-15T17:40:20.138Z] [INFO] Step 4: Read each downloaded log file with the Read tool to understand the actual failures
[2026-05-15T17:40:20.138Z] [INFO] Step 5: Report findings with specific errors and line numbers from logs
[2026-05-15T17:40:20.138Z] [INFO] This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR.
[2026-05-15T17:40:20.138Z] [INFO] Note: If user says \"failing\" but tools show \"passing\", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy.
[2026-05-15T17:40:20.138Z] [INFO] - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines.
[2026-05-15T17:40:20.138Z] [INFO] - When facing a complex problem, do as much tracing as possible and turn on all verbose modes.
[2026-05-15T17:40:20.138Z] [INFO] - When you create debug, test, or example scripts while fixing an issue, keep them in ./examples and/or ./experiments so you can reuse them later.
[2026-05-15T17:40:20.138Z] [INFO] - When you test assumptions, keep experiment scripts in ./experiments.
[2026-05-15T17:40:20.138Z] [INFO] - When an experiment demonstrates a real-world use case of the software, add it to ./examples.
[2026-05-15T17:40:20.138Z] [INFO] - When you face something extremely hard, use divide and conquer.
[2026-05-15T17:40:20.138Z] [INFO]
[2026-05-15T17:40:20.138Z] [INFO] Initial research.
[2026-05-15T17:40:20.138Z] [INFO] - When you start, create a detailed plan for yourself and follow your todo list step by step. Add as many relevant points from these guidelines to the todo list as practical so you can track the work clearly.
[2026-05-15T17:40:20.138Z] [INFO] - When the user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) list recent CI runs with timestamps, (2) download logs from failed runs to the ci-logs/ directory, (3) analyze error messages and identify the root cause, (4) implement a fix, (5) verify that the fix resolves the specific errors found in the logs.
[2026-05-15T17:40:20.138Z] [INFO] - When you read the issue, read all details and comments thoroughly.
[2026-05-15T17:40:20.138Z] [INFO] - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, download the image to a local file first, then use the Read tool to view and analyze it. Before reading downloaded images with the Read tool, verify that the file is a valid image rather than HTML by using a CLI tool such as the 'file' command. When corrupted or non-image files, such as GitHub \"Not Found\" pages saved as `.png`, are read, they can cause \"Could not process image\" errors and crash the AI solver process. When the file command shows \"HTML\", \"text\", or \"ASCII text\", the download failed, so do not call Read on that file. Instead: (1) when images are from GitHub issues or PRs, such as URLs containing \"github.com/user-attachments\", retry with: curl -L -H \"Authorization: token \$(gh auth token)\" -o <filename> \"<url>\" (2) when the retry still fails, skip the image and note that it was unavailable.
[2026-05-15T17:40:20.138Z] [INFO] - When you need issue details, use gh issue view https://github.com/link-assistant/formal-ai/issues/27.
[2026-05-15T17:40:20.138Z] [INFO] - When you need related code, use gh search code --owner link-assistant [keywords].
[2026-05-15T17:40:20.138Z] [INFO] - When you need repo context, read files in your working directory.
[2026-05-15T17:40:20.138Z] [INFO] - When you study related work, study the most recent related pull requests.
[2026-05-15T17:40:20.138Z] [INFO] - When the issue is not defined clearly enough, write a comment with clarifying questions.
[2026-05-15T17:40:20.138Z] [INFO] - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication.
[2026-05-15T17:40:20.138Z] [INFO] - When you are fixing a bug, find the actual root cause first and run as many experiments as needed.
[2026-05-15T17:40:20.138Z] [INFO] - When you are fixing a bug and the code does not have enough tracing or logs, add them and keep them in the code with the default state switched off.
[2026-05-15T17:40:20.138Z] [INFO] - When you need comments on a pull request, note that GitHub has three different comment types with different API endpoints:
[2026-05-15T17:40:20.138Z] [INFO] 1. PR review comments (inline code comments): gh api repos/link-assistant/formal-ai/pulls/28/comments --paginate
[2026-05-15T17:40:20.138Z] [INFO] 2. PR conversation comments (general discussion): gh api repos/link-assistant/formal-ai/issues/28/comments --paginate
[2026-05-15T17:40:20.138Z] [INFO] 3. PR reviews (approve/request changes): gh api repos/link-assistant/formal-ai/pulls/28/reviews --paginate
[2026-05-15T17:40:20.138Z] [INFO] Note: The command \"gh pr view --json comments\" only returns conversation comments and misses review comments.
[2026-05-15T17:40:20.138Z] [INFO] - When you need the latest comments on the issue, use gh api repos/link-assistant/formal-ai/issues/27/comments --paginate.
[2026-05-15T17:40:20.138Z] [INFO]
[2026-05-15T17:40:20.138Z] [INFO] Solution development and testing.
[2026-05-15T17:40:20.138Z] [INFO] - When issue is solvable, first create a test that reproduces the problem, then implement the fix.
[2026-05-15T17:40:20.138Z] [INFO] - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch.
[2026-05-15T17:40:20.138Z] [INFO] - When coding, commit each atomic step that is useful on its own to the pull request branch so interrupted work remains preserved in the pull request.
[2026-05-15T17:40:20.138Z] [INFO] - When you test:
[2026-05-15T17:40:20.138Z] [INFO] start from testing of small functions using separate scripts;
[2026-05-15T17:40:20.138Z] [INFO] write unit tests with mocks for easy and quick start.
[2026-05-15T17:40:20.138Z] [INFO] - When you test integrations, use existing framework.
[2026-05-15T17:40:20.138Z] [INFO] - When you test solution draft, include automated checks in pr.
[2026-05-15T17:40:20.138Z] [INFO] - When you write or modify tests, consider setting reasonable timeouts at test, suite, and CI job levels so failures surface quickly instead of hanging.
[2026-05-15T17:40:20.138Z] [INFO] - When you see repeated test timeout patterns in CI, investigate the root cause rather than increasing timeouts.
[2026-05-15T17:40:20.138Z] [INFO] - When the issue is unclear, write a comment on the issue with questions.
[2026-05-15T17:40:20.138Z] [INFO] - When you encounter problems that you cannot solve yourself and need human help, write a comment on the pull request asking for help.
[2026-05-15T17:40:20.138Z] [INFO] - When you need human help, use gh pr comment 28 --body \"your message\" to comment on existing PR.
[2026-05-15T17:40:20.138Z] [INFO]
[2026-05-15T17:40:20.138Z] [INFO] Reproducible testing.
[2026-05-15T17:40:20.138Z] [INFO] - When fixing a bug, create a test that reproduces the problem before implementing the fix. When you cannot reproduce the problem, you cannot verify the fix.
[2026-05-15T17:40:20.138Z] [INFO] - When encountering logic bugs, write an automated test that fails due to the bug, then implement the fix to make it pass.
[2026-05-15T17:40:20.138Z] [INFO] - When encountering UI bugs, capture a screenshot showing the problem state, then create a visual regression test or manual verification screenshot after the fix.
[2026-05-15T17:40:20.138Z] [INFO] - When creating tests, prefer minimum reproducible examples, meaning the simplest test case that demonstrates the issue.
[2026-05-15T17:40:20.138Z] [INFO] - When submitting a fix, include in the PR description: (1) how to reproduce the issue, (2) the automated test that verifies the fix, (3) before/after screenshots for UI issues.
[2026-05-15T17:40:20.138Z] [INFO] - When a bug fix does not have a reproducing test, treat the fix as incomplete because regressions can occur later without notice.
[2026-05-15T17:40:20.138Z] [INFO]
[2026-05-15T17:40:20.138Z] [INFO] Preparing pull request.
[2026-05-15T17:40:20.138Z] [INFO] - When you code, follow contributing guidelines.
[2026-05-15T17:40:20.138Z] [INFO] - When you commit, write clear message.
[2026-05-15T17:40:20.138Z] [INFO] - When you need examples of style, use gh pr list --repo link-assistant/formal-ai --state merged --search [keywords].
[2026-05-15T17:40:20.138Z] [INFO] - When you open pr, describe solution draft and include tests.
[2026-05-15T17:40:20.138Z] [INFO] - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release.
[2026-05-15T17:40:20.138Z] [INFO] - When you update existing pr 28, use gh pr edit to modify title and description.
[2026-05-15T17:40:20.138Z] [INFO] - When you are about to commit or push code, run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing.
[2026-05-15T17:40:20.138Z] [INFO] - When you finalize the pull request:
[2026-05-15T17:40:20.138Z] [INFO] follow style from merged prs for code, title, and description,
[2026-05-15T17:40:20.138Z] [INFO] check that no uncommitted changes corresponding to the original requirements are left behind,
[2026-05-15T17:40:20.138Z] [INFO] check that the default branch is merged into the pull request branch,
[2026-05-15T17:40:20.138Z] [INFO] check that all CI checks are passing if they exist before you finish,
[2026-05-15T17:40:20.138Z] [INFO] check for latest comments on the issue and pull request to ensure no recent feedback was missed,
[2026-05-15T17:40:20.138Z] [INFO] double-check that all changes in the pull request address the original requirements of the issue,
[2026-05-15T17:40:20.138Z] [INFO] check for newly introduced bugs in the pull request by carefully reading gh pr diff,
[2026-05-15T17:40:20.138Z] [INFO] check that no previously existing features were removed without an explicit request in the issue description, issue comments, or pull request comments.
[2026-05-15T17:40:20.138Z] [INFO] - When you finish implementation, use gh pr ready 28.
[2026-05-15T17:40:20.138Z] [INFO]
[2026-05-15T17:40:20.138Z] [INFO] Workflow and collaboration.
[2026-05-15T17:40:20.138Z] [INFO] - When you check branch, verify with git branch --show-current.
[2026-05-15T17:40:20.138Z] [INFO] - When you push, push only to branch issue-27-2a30a20dbe1d.
[2026-05-15T17:40:20.138Z] [INFO] - When you finish, create a pull request from branch issue-27-2a30a20dbe1d. (Note: PR 28 already exists, update it instead)
[2026-05-15T17:40:20.138Z] [INFO] - When you organize workflow, use pull requests instead of direct merges to default branch (main or master).
[2026-05-15T17:40:20.138Z] [INFO] - When you manage commits, preserve commit history for later analysis.
[2026-05-15T17:40:20.138Z] [INFO] - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed.
[2026-05-15T17:40:20.138Z] [INFO] - When you face conflict that you cannot resolve yourself, ask for help.
[2026-05-15T17:40:20.138Z] [INFO] - When you collaborate, respect branch protections by working only on issue-27-2a30a20dbe1d.
[2026-05-15T17:40:20.138Z] [INFO] - When you mention a result, include the pull request URL or comment URL.
[2026-05-15T17:40:20.138Z] [INFO] - When you need to create pr, remember pr 28 already exists for this branch.
[2026-05-15T17:40:20.138Z] [INFO]
[2026-05-15T17:40:20.138Z] [INFO] Self review.
[2026-05-15T17:40:20.138Z] [INFO] - When you check your solution draft, run all tests locally.
[2026-05-15T17:40:20.138Z] [INFO] - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes.
[2026-05-15T17:40:20.138Z] [INFO] - When you compare with repo style, use gh pr diff [number].
[2026-05-15T17:40:20.138Z] [INFO] - When you finalize, confirm code, tests, and description are consistent.
[2026-05-15T17:40:20.138Z] [INFO]
[2026-05-15T17:40:20.138Z] [INFO] GitHub CLI command patterns.
[2026-05-15T17:40:20.138Z] [INFO] - When fetching lists from GitHub API, use the --paginate flag to ensure all results are returned (GitHub returns max 30 per page by default).
[2026-05-15T17:40:20.138Z] [INFO] - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate.
[2026-05-15T17:40:20.138Z] [INFO] - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate.
[2026-05-15T17:40:20.138Z] [INFO] - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate.
[2026-05-15T17:40:20.138Z] [INFO] - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate.
[2026-05-15T17:40:20.138Z] [INFO] - When adding PR comment, use gh pr comment NUMBER --body \"text\" --repo OWNER/REPO.
[2026-05-15T17:40:20.138Z] [INFO] - When adding issue comment, use gh issue comment NUMBER --body \"text\" --repo OWNER/REPO.
[2026-05-15T17:40:20.138Z] [INFO] - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO.
[2026-05-15T17:40:20.138Z] [INFO] - When filtering with jq, use gh api repos/\${owner}/\${repo}/pulls/\${prNumber}/comments --paginate --jq 'reverse | .[0:5]'.
[2026-05-15T17:40:20.138Z] [INFO]
[2026-05-15T17:40:20.138Z] [INFO] Playwright MCP usage (browser automation via mcp__playwright__* tools).
[2026-05-15T17:40:20.138Z] [INFO] - When you develop frontend web applications (HTML, CSS, JavaScript, React, Vue, Angular, etc.), use Playwright MCP tools to test the UI in a real browser.
[2026-05-15T17:40:20.138Z] [INFO] - When WebFetch tool fails to retrieve expected content (e.g., returns empty content, JavaScript-rendered pages, or login-protected pages), use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for web browsing.
[2026-05-15T17:40:20.138Z] [INFO] - When WebSearch tool fails or returns insufficient results, use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for internet search.
[2026-05-15T17:40:20.138Z] [INFO] - When you need to interact with dynamic web pages that require JavaScript execution, use Playwright MCP tools.
[2026-05-15T17:40:20.138Z] [INFO] - When you need to visually verify how a web page looks or take screenshots, use browser_take_screenshot from Playwright MCP.
[2026-05-15T17:40:20.138Z] [INFO] - When you need to fill forms, click buttons, or perform user interactions on web pages, use Playwright MCP tools (browser_click, browser_type, browser_fill_form).
[2026-05-15T17:40:20.138Z] [INFO] - When you need to test responsive design or different viewport sizes, use browser_resize from Playwright MCP.
[2026-05-15T17:40:20.138Z] [INFO] - When you finish using the browser, close it with browser_close to free resources.
[2026-05-15T17:40:20.138Z] [INFO] - When reproducing UI bugs, use browser_take_screenshot to capture the problem state before implementing any fix.
[2026-05-15T17:40:20.138Z] [INFO] - When fixing UI bugs, take before/after screenshots to provide visual evidence of the fix for human verification.
[2026-05-15T17:40:20.138Z] [INFO] - When creating UI tests, save baseline screenshots to the repository for visual regression testing.
[2026-05-15T17:40:20.138Z] [INFO] - When verifying UI fixes, compare screenshots to ensure the fix does not introduce unintended visual changes.
[2026-05-15T17:40:20.138Z] [INFO]
[2026-05-15T17:40:20.138Z] [INFO] Visual UI work and screenshots.
[2026-05-15T17:40:20.138Z] [INFO] - When you work on visual UI changes (frontend, CSS, HTML, design), include a render or screenshot of the final result in the pull request description.
[2026-05-15T17:40:20.138Z] [INFO] - When you need to show visual results, take a screenshot and save it to the repository (e.g., in a docs/screenshots/ or assets/ folder).
[2026-05-15T17:40:20.138Z] [INFO] - When you save screenshots to the repository, use permanent links in the pull request description markdown (e.g., https://github.com/link-assistant/formal-ai/blob/issue-27-2a30a20dbe1d/docs/screenshots/result.png?raw=true).
[2026-05-15T17:40:20.138Z] [INFO] - When uploading images, commit them to the branch first, then reference them using the GitHub blob URL format with ?raw=true suffix (works for both public and private repositories).
[2026-05-15T17:40:20.138Z] [INFO] - When the visual result is important for review, mention it explicitly in the pull request description with the embedded image.
[2026-05-15T17:40:20.138Z] [INFO] - When fixing UI bugs, capture both the \"before\" (problem) and \"after\" (fixed) screenshots as evidence for human verification.
[2026-05-15T17:40:20.138Z] [INFO] - When reporting UI bugs, include a screenshot of the problem state to enable visual verification of the fix.
[2026-05-15T17:40:20.138Z] [INFO] - When the fix is visual, include side-by-side or sequential comparison of before/after states in the PR description.
[2026-05-15T17:40:20.138Z] [INFO] - When possible, create automated visual regression tests to prevent the UI bug from recurring." | jq -c .)
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] 📋 User prompt:
[2026-05-15T17:40:20.139Z] [INFO] ---BEGIN USER PROMPT---
[2026-05-15T17:40:20.139Z] [INFO] Issue to solve: https://github.com/link-assistant/formal-ai/issues/27
[2026-05-15T17:40:20.139Z] [INFO] Your prepared branch: issue-27-2a30a20dbe1d
[2026-05-15T17:40:20.139Z] [INFO] Your prepared working directory: /tmp/gh-issue-solver-1778866797787
[2026-05-15T17:40:20.139Z] [INFO] Your prepared Pull Request: https://github.com/link-assistant/formal-ai/pull/28
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] Proceed.
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] ---END USER PROMPT---
[2026-05-15T17:40:20.139Z] [INFO] 📋 System prompt:
[2026-05-15T17:40:20.139Z] [INFO] ---BEGIN SYSTEM PROMPT---
[2026-05-15T17:40:20.139Z] [INFO] You are an AI issue solver. When you investigate issues, prefer root-cause analysis. When you communicate, prefer facts you have checked yourself or cite sources that provide evidence, such as quoted code or references to documents or web pages. When you are unsure or working from assumptions, test them yourself or ask clarifying questions.
[2026-05-15T17:40:20.139Z] [INFO] General guidelines.
[2026-05-15T17:40:20.139Z] [INFO] - When you execute commands and the output becomes large, save the logs to files for easier review.
[2026-05-15T17:40:20.139Z] [INFO] - When running commands, avoid setting a timeout yourself. Let them run as long as needed. The default timeout of 2 minutes is usually enough, and once commands finish, review the logs in the file.
[2026-05-15T17:40:20.139Z] [INFO] - When running sudo commands, especially package installations like apt-get, yum, or npm install, run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command.
[2026-05-15T17:40:20.139Z] [INFO] - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps:
[2026-05-15T17:40:20.139Z] [INFO] Step 1: List recent runs with timestamps using: gh run list --repo link-assistant/formal-ai --branch issue-27-2a30a20dbe1d --limit 5 --json databaseId,conclusion,createdAt,headSha
[2026-05-15T17:40:20.139Z] [INFO] Step 2: Verify runs are after the latest commit by checking timestamps and SHA
[2026-05-15T17:40:20.139Z] [INFO] Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo link-assistant/formal-ai --log > ci-logs/{workflow}-{run-id}.log
[2026-05-15T17:40:20.139Z] [INFO] Step 4: Read each downloaded log file with the Read tool to understand the actual failures
[2026-05-15T17:40:20.139Z] [INFO] Step 5: Report findings with specific errors and line numbers from logs
[2026-05-15T17:40:20.139Z] [INFO] This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR.
[2026-05-15T17:40:20.139Z] [INFO] Note: If user says "failing" but tools show "passing", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy.
[2026-05-15T17:40:20.139Z] [INFO] - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines.
[2026-05-15T17:40:20.139Z] [INFO] - When facing a complex problem, do as much tracing as possible and turn on all verbose modes.
[2026-05-15T17:40:20.139Z] [INFO] - When you create debug, test, or example scripts while fixing an issue, keep them in ./examples and/or ./experiments so you can reuse them later.
[2026-05-15T17:40:20.139Z] [INFO] - When you test assumptions, keep experiment scripts in ./experiments.
[2026-05-15T17:40:20.139Z] [INFO] - When an experiment demonstrates a real-world use case of the software, add it to ./examples.
[2026-05-15T17:40:20.139Z] [INFO] - When you face something extremely hard, use divide and conquer.
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] Initial research.
[2026-05-15T17:40:20.139Z] [INFO] - When you start, create a detailed plan for yourself and follow your todo list step by step. Add as many relevant points from these guidelines to the todo list as practical so you can track the work clearly.
[2026-05-15T17:40:20.139Z] [INFO] - When the user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) list recent CI runs with timestamps, (2) download logs from failed runs to the ci-logs/ directory, (3) analyze error messages and identify the root cause, (4) implement a fix, (5) verify that the fix resolves the specific errors found in the logs.
[2026-05-15T17:40:20.139Z] [INFO] - When you read the issue, read all details and comments thoroughly.
[2026-05-15T17:40:20.139Z] [INFO] - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, download the image to a local file first, then use the Read tool to view and analyze it. Before reading downloaded images with the Read tool, verify that the file is a valid image rather than HTML by using a CLI tool such as the 'file' command. When corrupted or non-image files, such as GitHub "Not Found" pages saved as `.png`, are read, they can cause "Could not process image" errors and crash the AI solver process. When the file command shows "HTML", "text", or "ASCII text", the download failed, so do not call Read on that file. Instead: (1) when images are from GitHub issues or PRs, such as URLs containing "github.com/user-attachments", retry with: curl -L -H "Authorization: token $(gh auth token)" -o <filename> "<url>" (2) when the retry still fails, skip the image and note that it was unavailable.
[2026-05-15T17:40:20.139Z] [INFO] - When you need issue details, use gh issue view https://github.com/link-assistant/formal-ai/issues/27.
[2026-05-15T17:40:20.139Z] [INFO] - When you need related code, use gh search code --owner link-assistant [keywords].
[2026-05-15T17:40:20.139Z] [INFO] - When you need repo context, read files in your working directory.
[2026-05-15T17:40:20.139Z] [INFO] - When you study related work, study the most recent related pull requests.
[2026-05-15T17:40:20.139Z] [INFO] - When the issue is not defined clearly enough, write a comment with clarifying questions.
[2026-05-15T17:40:20.139Z] [INFO] - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication.
[2026-05-15T17:40:20.139Z] [INFO] - When you are fixing a bug, find the actual root cause first and run as many experiments as needed.
[2026-05-15T17:40:20.139Z] [INFO] - When you are fixing a bug and the code does not have enough tracing or logs, add them and keep them in the code with the default state switched off.
[2026-05-15T17:40:20.139Z] [INFO] - When you need comments on a pull request, note that GitHub has three different comment types with different API endpoints:
[2026-05-15T17:40:20.139Z] [INFO] 1. PR review comments (inline code comments): gh api repos/link-assistant/formal-ai/pulls/28/comments --paginate
[2026-05-15T17:40:20.139Z] [INFO] 2. PR conversation comments (general discussion): gh api repos/link-assistant/formal-ai/issues/28/comments --paginate
[2026-05-15T17:40:20.139Z] [INFO] 3. PR reviews (approve/request changes): gh api repos/link-assistant/formal-ai/pulls/28/reviews --paginate
[2026-05-15T17:40:20.139Z] [INFO] Note: The command "gh pr view --json comments" only returns conversation comments and misses review comments.
[2026-05-15T17:40:20.139Z] [INFO] - When you need the latest comments on the issue, use gh api repos/link-assistant/formal-ai/issues/27/comments --paginate.
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] Solution development and testing.
[2026-05-15T17:40:20.139Z] [INFO] - When issue is solvable, first create a test that reproduces the problem, then implement the fix.
[2026-05-15T17:40:20.139Z] [INFO] - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch.
[2026-05-15T17:40:20.139Z] [INFO] - When coding, commit each atomic step that is useful on its own to the pull request branch so interrupted work remains preserved in the pull request.
[2026-05-15T17:40:20.139Z] [INFO] - When you test:
[2026-05-15T17:40:20.139Z] [INFO] start from testing of small functions using separate scripts;
[2026-05-15T17:40:20.139Z] [INFO] write unit tests with mocks for easy and quick start.
[2026-05-15T17:40:20.139Z] [INFO] - When you test integrations, use existing framework.
[2026-05-15T17:40:20.139Z] [INFO] - When you test solution draft, include automated checks in pr.
[2026-05-15T17:40:20.139Z] [INFO] - When you write or modify tests, consider setting reasonable timeouts at test, suite, and CI job levels so failures surface quickly instead of hanging.
[2026-05-15T17:40:20.139Z] [INFO] - When you see repeated test timeout patterns in CI, investigate the root cause rather than increasing timeouts.
[2026-05-15T17:40:20.139Z] [INFO] - When the issue is unclear, write a comment on the issue with questions.
[2026-05-15T17:40:20.139Z] [INFO] - When you encounter problems that you cannot solve yourself and need human help, write a comment on the pull request asking for help.
[2026-05-15T17:40:20.139Z] [INFO] - When you need human help, use gh pr comment 28 --body "your message" to comment on existing PR.
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] Reproducible testing.
[2026-05-15T17:40:20.139Z] [INFO] - When fixing a bug, create a test that reproduces the problem before implementing the fix. When you cannot reproduce the problem, you cannot verify the fix.
[2026-05-15T17:40:20.139Z] [INFO] - When encountering logic bugs, write an automated test that fails due to the bug, then implement the fix to make it pass.
[2026-05-15T17:40:20.139Z] [INFO] - When encountering UI bugs, capture a screenshot showing the problem state, then create a visual regression test or manual verification screenshot after the fix.
[2026-05-15T17:40:20.139Z] [INFO] - When creating tests, prefer minimum reproducible examples, meaning the simplest test case that demonstrates the issue.
[2026-05-15T17:40:20.139Z] [INFO] - When submitting a fix, include in the PR description: (1) how to reproduce the issue, (2) the automated test that verifies the fix, (3) before/after screenshots for UI issues.
[2026-05-15T17:40:20.139Z] [INFO] - When a bug fix does not have a reproducing test, treat the fix as incomplete because regressions can occur later without notice.
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] Preparing pull request.
[2026-05-15T17:40:20.139Z] [INFO] - When you code, follow contributing guidelines.
[2026-05-15T17:40:20.139Z] [INFO] - When you commit, write clear message.
[2026-05-15T17:40:20.139Z] [INFO] - When you need examples of style, use gh pr list --repo link-assistant/formal-ai --state merged --search [keywords].
[2026-05-15T17:40:20.139Z] [INFO] - When you open pr, describe solution draft and include tests.
[2026-05-15T17:40:20.139Z] [INFO] - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release.
[2026-05-15T17:40:20.139Z] [INFO] - When you update existing pr 28, use gh pr edit to modify title and description.
[2026-05-15T17:40:20.139Z] [INFO] - When you are about to commit or push code, run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing.
[2026-05-15T17:40:20.139Z] [INFO] - When you finalize the pull request:
[2026-05-15T17:40:20.139Z] [INFO] follow style from merged prs for code, title, and description,
[2026-05-15T17:40:20.139Z] [INFO] check that no uncommitted changes corresponding to the original requirements are left behind,
[2026-05-15T17:40:20.139Z] [INFO] check that the default branch is merged into the pull request branch,
[2026-05-15T17:40:20.139Z] [INFO] check that all CI checks are passing if they exist before you finish,
[2026-05-15T17:40:20.139Z] [INFO] check for latest comments on the issue and pull request to ensure no recent feedback was missed,
[2026-05-15T17:40:20.139Z] [INFO] double-check that all changes in the pull request address the original requirements of the issue,
[2026-05-15T17:40:20.139Z] [INFO] check for newly introduced bugs in the pull request by carefully reading gh pr diff,
[2026-05-15T17:40:20.139Z] [INFO] check that no previously existing features were removed without an explicit request in the issue description, issue comments, or pull request comments.
[2026-05-15T17:40:20.139Z] [INFO] - When you finish implementation, use gh pr ready 28.
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] Workflow and collaboration.
[2026-05-15T17:40:20.139Z] [INFO] - When you check branch, verify with git branch --show-current.
[2026-05-15T17:40:20.139Z] [INFO] - When you push, push only to branch issue-27-2a30a20dbe1d.
[2026-05-15T17:40:20.139Z] [INFO] - When you finish, create a pull request from branch issue-27-2a30a20dbe1d. (Note: PR 28 already exists, update it instead)
[2026-05-15T17:40:20.139Z] [INFO] - When you organize workflow, use pull requests instead of direct merges to default branch (main or master).
[2026-05-15T17:40:20.139Z] [INFO] - When you manage commits, preserve commit history for later analysis.
[2026-05-15T17:40:20.139Z] [INFO] - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed.
[2026-05-15T17:40:20.139Z] [INFO] - When you face conflict that you cannot resolve yourself, ask for help.
[2026-05-15T17:40:20.139Z] [INFO] - When you collaborate, respect branch protections by working only on issue-27-2a30a20dbe1d.
[2026-05-15T17:40:20.139Z] [INFO] - When you mention a result, include the pull request URL or comment URL.
[2026-05-15T17:40:20.139Z] [INFO] - When you need to create pr, remember pr 28 already exists for this branch.
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] Self review.
[2026-05-15T17:40:20.139Z] [INFO] - When you check your solution draft, run all tests locally.
[2026-05-15T17:40:20.139Z] [INFO] - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes.
[2026-05-15T17:40:20.139Z] [INFO] - When you compare with repo style, use gh pr diff [number].
[2026-05-15T17:40:20.139Z] [INFO] - When you finalize, confirm code, tests, and description are consistent.
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] GitHub CLI command patterns.
[2026-05-15T17:40:20.139Z] [INFO] - When fetching lists from GitHub API, use the --paginate flag to ensure all results are returned (GitHub returns max 30 per page by default).
[2026-05-15T17:40:20.139Z] [INFO] - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate.
[2026-05-15T17:40:20.139Z] [INFO] - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate.
[2026-05-15T17:40:20.139Z] [INFO] - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate.
[2026-05-15T17:40:20.139Z] [INFO] - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate.
[2026-05-15T17:40:20.139Z] [INFO] - When adding PR comment, use gh pr comment NUMBER --body "text" --repo OWNER/REPO.
[2026-05-15T17:40:20.139Z] [INFO] - When adding issue comment, use gh issue comment NUMBER --body "text" --repo OWNER/REPO.
[2026-05-15T17:40:20.139Z] [INFO] - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO.
[2026-05-15T17:40:20.139Z] [INFO] - When filtering with jq, use gh api repos/${owner}/${repo}/pulls/${prNumber}/comments --paginate --jq 'reverse | .[0:5]'.
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] Playwright MCP usage (browser automation via mcp__playwright__* tools).
[2026-05-15T17:40:20.139Z] [INFO] - When you develop frontend web applications (HTML, CSS, JavaScript, React, Vue, Angular, etc.), use Playwright MCP tools to test the UI in a real browser.
[2026-05-15T17:40:20.139Z] [INFO] - When WebFetch tool fails to retrieve expected content (e.g., returns empty content, JavaScript-rendered pages, or login-protected pages), use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for web browsing.
[2026-05-15T17:40:20.139Z] [INFO] - When WebSearch tool fails or returns insufficient results, use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for internet search.
[2026-05-15T17:40:20.139Z] [INFO] - When you need to interact with dynamic web pages that require JavaScript execution, use Playwright MCP tools.
[2026-05-15T17:40:20.139Z] [INFO] - When you need to visually verify how a web page looks or take screenshots, use browser_take_screenshot from Playwright MCP.
[2026-05-15T17:40:20.139Z] [INFO] - When you need to fill forms, click buttons, or perform user interactions on web pages, use Playwright MCP tools (browser_click, browser_type, browser_fill_form).
[2026-05-15T17:40:20.139Z] [INFO] - When you need to test responsive design or different viewport sizes, use browser_resize from Playwright MCP.
[2026-05-15T17:40:20.139Z] [INFO] - When you finish using the browser, close it with browser_close to free resources.
[2026-05-15T17:40:20.139Z] [INFO] - When reproducing UI bugs, use browser_take_screenshot to capture the problem state before implementing any fix.
[2026-05-15T17:40:20.139Z] [INFO] - When fixing UI bugs, take before/after screenshots to provide visual evidence of the fix for human verification.
[2026-05-15T17:40:20.139Z] [INFO] - When creating UI tests, save baseline screenshots to the repository for visual regression testing.
[2026-05-15T17:40:20.139Z] [INFO] - When verifying UI fixes, compare screenshots to ensure the fix does not introduce unintended visual changes.
[2026-05-15T17:40:20.139Z] [INFO]
[2026-05-15T17:40:20.139Z] [INFO] Visual UI work and screenshots.
[2026-05-15T17:40:20.139Z] [INFO] - When you work on visual UI changes (frontend, CSS, HTML, design), include a render or screenshot of the final result in the pull request description.
[2026-05-15T17:40:20.139Z] [INFO] - When you need to show visual results, take a screenshot and save it to the repository (e.g., in a docs/screenshots/ or assets/ folder).
[2026-05-15T17:40:20.139Z] [INFO] - When you save screenshots to the repository, use permanent links in the pull request description markdown (e.g., https://github.com/link-assistant/formal-ai/blob/issue-27-2a30a20dbe1d/docs/screenshots/result.png?raw=true).
[2026-05-15T17:40:20.139Z] [INFO] - When uploading images, commit them to the branch first, then reference them using the GitHub blob URL format with ?raw=true suffix (works for both public and private repositories).
[2026-05-15T17:40:20.139Z] [INFO] - When the visual result is important for review, mention it explicitly in the pull request description with the embedded image.
[2026-05-15T17:40:20.139Z] [INFO] - When fixing UI bugs, capture both the "before" (problem) and "after" (fixed) screenshots as evidence for human verification.
[2026-05-15T17:40:20.139Z] [INFO] - When reporting UI bugs, include a screenshot of the problem state to enable visual verification of the fix.
[2026-05-15T17:40:20.139Z] [INFO] - When the fix is visual, include side-by-side or sequential comparison of before/after states in the PR description.
[2026-05-15T17:40:20.139Z] [INFO] - When possible, create automated visual regression tests to prevent the UI bug from recurring.
[2026-05-15T17:40:20.139Z] [INFO] ---END SYSTEM PROMPT---
[2026-05-15T17:40:20.140Z] [INFO] 📊 CLAUDE_CODE_MAX_OUTPUT_TOKENS: 128000, MCP_TIMEOUT: 900000ms, MCP_TOOL_TIMEOUT: 900000ms, ANTHROPIC_LOG: debug
[2026-05-15T17:40:20.140Z] [INFO] 📊 CLAUDE_CODE_DISABLE_1M_CONTEXT=1, CLAUDE_CODE_AUTO_COMPACT_WINDOW=150000, CLAUDE_AUTOCOMPACT_PCT_OVERRIDE=95
[2026-05-15T17:40:20.141Z] [INFO] 📋 Command details:
[2026-05-15T17:40:20.141Z] [INFO] 📂 Working directory: /tmp/gh-issue-solver-1778866797787
[2026-05-15T17:40:20.141Z] [INFO] 🌿 Branch: issue-27-2a30a20dbe1d
[2026-05-15T17:40:20.141Z] [INFO] 🤖 Model: Claude OPUS
[2026-05-15T17:40:20.141Z] [INFO]
[2026-05-15T17:40:20.141Z] [INFO] ▶️ Streaming output:
[2026-05-15T17:40:20.141Z] [INFO]
[2026-05-15T17:40:21.372Z] [INFO] {
[2026-05-15T17:40:21.372Z] [INFO] "type": "system",
[2026-05-15T17:40:21.372Z] [INFO] "subtype": "init",
[2026-05-15T17:40:21.372Z] [INFO] "cwd": "/tmp/gh-issue-solver-1778866797787",
[2026-05-15T17:40:21.372Z] [INFO] "session_id": "8f33cb23-e6be-484f-b0cb-5fe27c692d2a",
[2026-05-15T17:40:21.372Z] [INFO] "tools": [
[2026-05-15T17:40:21.372Z] [INFO] "Task",
[2026-05-15T17:40:21.372Z] [INFO] "Bash",
[2026-05-15T17:40:21.372Z] [INFO] "Edit",
[2026-05-15T17:40:21.372Z] [INFO] "Glob",
[2026-05-15T17:40:21.372Z] [INFO] "Grep",
[2026-05-15T17:40:21.372Z] [INFO] "Read",
[2026-05-15T17:40:21.372Z] [INFO] "ShareOnboardingGuide",
[2026-05-15T17:40:21.372Z] [INFO] "Skill",
[2026-05-15T17:40:21.372Z] [INFO] "TaskCreate",
[2026-05-15T17:40:21.372Z] [INFO] "TaskGet",
[2026-05-15T17:40:21.372Z] [INFO] "TaskList",
[2026-05-15T17:40:21.372Z] [INFO] "TaskOutput",
[2026-05-15T17:40:21.372Z] [INFO] "TaskStop",
[2026-05-15T17:40:21.372Z] [INFO] "TaskUpdate",
[2026-05-15T17:40:21.372Z] [INFO] "ToolSearch",
[2026-05-15T17:40:21.372Z] [INFO] "WebFetch",
[2026-05-15T17:40:21.372Z] [INFO] "WebSearch",
[2026-05-15T17:40:21.372Z] [INFO] "Write",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_click",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_close",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_console_messages",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_drag",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_drop",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_evaluate",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_file_upload",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_fill_form",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_handle_dialog",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_hover",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_navigate",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_navigate_back",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_network_request",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_network_requests",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_press_key",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_resize",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_run_code_unsafe",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_select_option",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_snapshot",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_tabs",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_take_screenshot",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_type",
[2026-05-15T17:40:21.372Z] [INFO] "mcp__playwright__browser_wait_for"
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[2026-05-15T17:40:30.086Z] [INFO] "content": "title:\tFixes and improvements\nstate:\tOPEN\nauthor:\tkonard (Konstantin Diachenko)\nlabels:\tbug, documentation, enhancement\ncomments:\t0\nassignees:\t\nprojects:\t\nmilestone:\t\nnumber:\t27\n--\n<img width=\"1824\" height=\"1111\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/db7196e2-7c45-4b5c-ba58-3b0a51b3bda8\" />\n\n- Remove `download bundle` button, as it is the same as `export memory` now\n- Remove `Bundled 119 events + seed` label\n- Sections to the left should be collapsable and when all expanded take up equal emount of space with separate scrolls, similar to how it done for some panels in VS Code.\n- `Prompts` should be renamed to `Example prompts`, and this section should contain actually all test cases we support the code, so by seeing examples user will have ability to see all the futures we support at the moment.\n- Also in `Demo` mode we should all the same examples + greeting.\n- Greetings and greetings responses should have some random variations configurable in settings.\n- `Who is Donald Trump?` works, but `Кто такой Илон Маск?` does not, that should be fixed. We should add more variations both to examples, and tests coverage, so for each supported feature we support wider range of natural language messages.\n- `Export memory` and `Export your memory` messages in all supported languages should be treated as click to `Export memory` button.\n- Attach file + `Import it as your memory` and `Import this file as your new memory` (and other variations + languages) should be treated as `import memory button`. Also we should support `Import memory`, `Import new memory`, `Import your new memory` as click to `import memory`, which will answer with a message like opening dialog, and open file selection dialog immediately, so user can select.\n- Also we need add `Conversations` section to the left and `New conversation` button on top, also on page referesh, or commining back after sometime we should keep showing last conversation.\n- Each conversation memory should be recorded separately in the entire memory of the system, so it should be able always recall any messages, when asked about previous message, first message, and also messages from other conversations in natural language.\n- We need to add summarize tool or skill, that will take any conversation, formalize it, and do actual logical summarization without any AIs (neural networks).\n- We need clear switcher between chat mode and agent mode, in agent mode agent receives task and operates autonomously taking requirements/goal converting it to plan and executing on it, by default all actions are executed in docker (or WebVM) so if user wants to access any data from the computer he is encouraged to copy these files to docker, where automatically git repository should be created, and after work is done we can ask user to accept or reject changes to his file system on his machine.\n- Agent should by default work in ask permissions mode on user's actual host machine, and autonomously inside docker/webvm, without user confirmation but with automatic git versioning after each and every change (that are meaningfully joined and accomplish single step of the plan.\n- We should prefer use data as rules/code or put code in data, and compile on execution.\n- Most of our code should be focused on interfacing with real world and between components.\n- Actual logic of the formal AI agent should be placed in seed data, as it should be configurable.\n\n<img width=\"686\" height=\"1111\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/3214d3b3-126e-460e-a698-382bcbcb2dea\" />\n\n- Most of the space in mobile view should be dedicated chat and input field, on top buttons should be containing only emojies (not labels), menu with all buttons + all left sidebar sections. So our system as a web app should be adaptable to mobile, tabled, notebook and desktop screens.\n\nWe need to download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, list of each and all requirements from the issue, find root causes of the each problem, and propose possible solutions and solution plans for each requirement (we should also check known existing components/libraries, that solve similar problem or can help in solutions).\n\nIf there is not enough data to find actual root cause, add debug output and verbose mode if not present, that will allow us to find root cause on next iteration.\n\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. Each issue must contain reproducible examples, workarounds and suggestions for fix the issue in code.\n\nPlease plan and execute everything in this single pull request, you have unlimited time and context, as context auto-compacts and you can continue indefinitely, until it is each and every requirement fully addressed, and everything is totally done.",
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Also we should support `Import memory`, `Import new memory`, `Import your new memory` as click to `import memory`, which will answer with a message like opening dialog, and open file selection dialog immediately, so user can select.\n- Also we need add `Conversations` section to the left and `New conversation` button on top, also on page referesh, or commining back after sometime we should keep showing last conversation.\n- Each conversation memory should be recorded separately in the entire memory of the system, so it should be able always recall any messages, when asked about previous message, first message, and also messages from other conversations in natural language.\n- We need to add summarize tool or skill, that will take any conversation, formalize it, and do actual logical summarization without any AIs (neural networks).\n- We need clear switcher between chat mode and agent mode, in agent mode agent receives task and operates autonomously taking requirements/goal converting it to plan and executing on it, by default all actions are executed in docker (or WebVM) so if user wants to access any data from the computer he is encouraged to copy these files to docker, where automatically git repository should be created, and after work is done we can ask user to accept or reject changes to his file system on his machine.\n- Agent should by default work in ask permissions mode on user's actual host machine, and autonomously inside docker/webvm, without user confirmation but with automatic git versioning after each and every change (that are meaningfully joined and accomplish single step of the plan.\n- We should prefer use data as rules/code or put code in data, and compile on execution.\n- Most of our code should be focused on interfacing with real world and between components.\n- Actual logic of the formal AI agent should be placed in seed data, as it should be configurable.\n\n<img width=\"686\" height=\"1111\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/3214d3b3-126e-460e-a698-382bcbcb2dea\" />\n\n- Most of the space in mobile view should be dedicated chat and input field, on top buttons should be containing only emojies (not labels), menu with all buttons + all left sidebar sections. So our system as a web app should be adaptable to mobile, tabled, notebook and desktop screens.\n\nWe need to download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, list of each and all requirements from the issue, find root causes of the each problem, and propose possible solutions and solution plans for each requirement (we should also check known existing components/libraries, that solve similar problem or can help in solutions).\n\nIf there is not enough data to find actual root cause, add debug output and verbose mode if not present, that will allow us to find root cause on next iteration.\n\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. Each issue must contain reproducible examples, workarounds and suggestions for fix the issue in code.\n\nPlease plan and execute everything in this single pull request, you have unlimited time and context, as context auto-compacts and you can continue indefinitely, until it is each and every requirement fully addressed, and everything is totally done.",
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[2026-05-15T17:40:39.859Z] [INFO] "content": "# formal-ai\n\nFormal AI is a Rust proof of concept for a symbolic, deterministic assistant that exposes OpenAI-shaped interfaces without neural-network inference.\n\nThe current prototype is intentionally small. It proves the surface area requested in issue #1:\n\n- library API for symbolic prompt handling\n- CLI chat command\n- HTTP API server with `/v1/chat/completions` and `/v1/responses`\n- Telegram bot CLI with long polling by default and an opt-in webhook server, configured through [`lino-arguments`](https://github.com/link-foundation/lino-arguments)\n- human-readable Links Notation knowledge and dataset export through `lino-objects-codec`\n- Docker-ready microservice\n- GitHub Pages markdown chat demo backed by a Rust-generated WebAssembly worker\n\nProject direction is tracked in [VISION.md](VISION.md), [GOALS.md](GOALS.md), and [NON-GOALS.md](NON-GOALS.md). The issue #12 synthesis is in [docs/case-studies/issue-12/README.md](docs/case-studies/issue-12/README.md).\n\n## Quick Start\n\n```bash\ncargo run -- chat --prompt \"Hi\"\ncargo run -- chat --prompt \"Write me hello world program in Rust\" --format chat\ncargo run -- dataset\ncargo run -- serve --host 127.0.0.1 --port 8080\nTELEGRAM_BOT_TOKEN=123:abc cargo run -- telegram # long polling (default)\ncargo run -- telegram --mode webhook --host 127.0.0.1 --port 8080 # webhook server (opt-in)\nrust-script scripts/download-datasets.rs\nexperiments/verify-hello-world-examples.sh\n```\n\nExample API call:\n\n```bash\ncurl -s http://127.0.0.1:8080/v1/chat/completions \\\n -H 'content-type: application/json' \\\n -d '{\"model\":\"formal-symbolic-poc\",\"messages\":[{\"role\":\"user\",\"content\":\"Hi\"}]}'\n```\n\nExample Telegram webhook update:\n\n```bash\ncurl -s http://127.0.0.1:8080/telegram/webhook \\\n -H 'content-type: application/json' \\\n -d '{\"update_id\":1,\"message\":{\"message_id\":7,\"date\":1,\"chat\":{\"id\":42,\"type\":\"private\"},\"text\":\"Write me hello world program in Rust\"}}'\n```\n\nDocker:\n\n```bash\ndocker build -t formal-ai .\ndocker run --rm -p 8080:8080 formal-ai\n```\n\nThe static demo lives in `src/web/index.html`. Serve it from a local web server or GitHub Pages so the WebAssembly worker can be fetched by the browser. The demo starts with a user greeting, renders markdown in messages, previews markdown input, and includes a randomized dialog mode for hello-world prompts across several programming languages.\n\n### Full-memory export and import\n\nEvery interface produces the same self-contained Links Notation document by default. In the browser, the **Export memory** topbar button writes `formal-ai-memory.lino` as a complete `formal_ai_bundle` — the entire seed (rules, concepts, tools, multilingual responses), UI preferences, environment metadata, and the full append-only event log — so a single click is enough to reconstitute the session. **Import memory** auto-detects bundle vs legacy `demo_memory` files and surfaces migration suggestions when the imported seed version differs from the running app's. The CLI matches:\n\n```bash\ncargo run -- memory export --from memory.lino --path full.lino # default: full bundle\ncargo run -- memory export --from memory.lino --path events.lino --events-only # legacy demo_memory\ncargo run -- memory import --path full.lino --into memory.lino # accepts either format\ncargo run -- bundle export --path bundle.lino --memory memory.lino\ncargo run -- bundle import --path bundle.lino --into memory.lino\n```\n\nThe Rust library re-exports the same helpers — `export_memory_full`, `import_memory_full`, `suggest_memory_migrations`, `BundleInfo`, `ParsedBundle` — so embedders writing their own surface get the same defaults. The prefilled **Report issue** link tells users to wrap the export in a `.zip` (GitHub does not yet accept `.lino` attachments) and to redact sensitive content before attaching.\n\n## Telegram Bot\n\nThe `formal-ai telegram` subcommand defaults to long polling and keeps the webhook server available as an opt-in mode. The CLI is configured through [`lino-arguments`](https://github.com/link-foundation/lino-arguments) (a clap-compatible derive), so every flag also reads from the matching environment variable and from `.lenv`/`.env` files in the working directory.\n\n### Long polling (default)\n\n```bash\nexport TELEGRAM_BOT_TOKEN=123:abc\ncargo run -- telegram # polling by default\ncargo run -- telegram --mode polling \\\n --timeout 30 --limit 100 \\\n --allowed-updates message,edited_message\n```\n\nThe polling client shells out to `curl`, calls Telegram's `getUpdates`, advances the offset after each batch, and replies through `sendMessage` with HTML formatting. The same `FormalAiEngine` used by the library, HTTP API, and web demo is reused, so polling answers match the other surfaces.\n\n### Webhook (opt-in)\n\n```bash\ncargo run -- telegram --mode webhook --host 127.0.0.1 --port 8080\n# or equivalently for backwards compatibility:\ncargo run -- serve --host 127.0.0.1 --port 8080\n```\n\nExpose the server through HTTPS and register the endpoint with Telegram:\n\n```bash\ncurl -s \"https://api.telegram.org/bot${TELEGRAM_BOT_TOKEN}/setWebhook\" \\\n -d \"url=https://example.com/telegram/webhook\"\n```\n\nThe webhook accepts Telegram `message`, `edited_message`, `channel_post`, and `edited_channel_post` updates. It returns a direct Telegram `sendMessage` response for both private chats and group/channel chat IDs, using Telegram HTML formatting so code blocks survive the chat surface. This prototype does not store a bot token or perform outbound Telegram API calls from the webhook path; large file attachments require an outbound bot-client layer.\n\n## Rust Library\n\n```rust\nuse formal_ai::{create_chat_completion, ChatCompletionRequest, ChatMessage, MessageContent};\n\nlet request = ChatCompletionRequest {\n model: None,\n messages: vec![ChatMessage {\n role: String::from(\"user\"),\n content: MessageContent::Text(String::from(\"Hi\")),\n }],\n stream: false,\n};\n\nlet completion = create_chat_completion(&request);\nassert_eq!(\n completion.choices[0].message.content.plain_text(),\n \"Hi, how may I help you?\"\n);\n```\n\n## Current Symbolic Behavior\n\nThe engine normalizes a prompt, selects a deterministic symbolic rule, and returns the rule output with evidence link identifiers and indented Links Notation. Seed rules currently cover:\n\n- greetings: `Hi`, `Hello`, `Hey`\n- hello world requests for Rust, Python, JavaScript, TypeScript, Go, and C\n- unknown prompts, which return an explicit learnable-rule fallback\n\nHello-world answers include execution metadata. Rust, Python, JavaScript, Go, and C examples are compiled or syntax-checked and run by the issue-8 local verification harness with captured output. TypeScript is returned with an explicit warning because `tsc` is not configured in the current repository runtime.\n\nNo GPU, neural network, remote model, or random sampling is used.\n\n## Dataset Seeds\n\nIssue #1 source indexes and seed prompts are stored as indented Links Notation in `data/`.\n\n```bash\nrust-script scripts/download-datasets.rs\nrust-script scripts/check-file-size.rs\n```\n\nThe generator writes source, greeting, hello-world, and demo-dialog records. `.lino` files are kept below 1500 lines and validated by the unit tests.\n\n## Development\n\n```bash\ncargo fmt --all -- --check\ncargo clippy --all-targets --all-features\ncargo test --all-features --verbose\ncargo test --doc --verbose\nrust-script scripts/check-file-size.rs\n```\n\nSee [REQUIREMENTS.md](REQUIREMENTS.md) for the cumulative requirement matrix (now alongside [VISION.md](VISION.md)) and [docs/case-studies/issue-1/README.md](docs/case-studies/issue-1/README.md) for the collected research and implementation plan.",
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[2026-05-15T17:40:39.859Z] [INFO] "stdout": "# formal-ai\n\nFormal AI is a Rust proof of concept for a symbolic, deterministic assistant that exposes OpenAI-shaped interfaces without neural-network inference.\n\nThe current prototype is intentionally small. It proves the surface area requested in issue #1:\n\n- library API for symbolic prompt handling\n- CLI chat command\n- HTTP API server with `/v1/chat/completions` and `/v1/responses`\n- Telegram bot CLI with long polling by default and an opt-in webhook server, configured through [`lino-arguments`](https://github.com/link-foundation/lino-arguments)\n- human-readable Links Notation knowledge and dataset export through `lino-objects-codec`\n- Docker-ready microservice\n- GitHub Pages markdown chat demo backed by a Rust-generated WebAssembly worker\n\nProject direction is tracked in [VISION.md](VISION.md), [GOALS.md](GOALS.md), and [NON-GOALS.md](NON-GOALS.md). The issue #12 synthesis is in [docs/case-studies/issue-12/README.md](docs/case-studies/issue-12/README.md).\n\n## Quick Start\n\n```bash\ncargo run -- chat --prompt \"Hi\"\ncargo run -- chat --prompt \"Write me hello world program in Rust\" --format chat\ncargo run -- dataset\ncargo run -- serve --host 127.0.0.1 --port 8080\nTELEGRAM_BOT_TOKEN=123:abc cargo run -- telegram # long polling (default)\ncargo run -- telegram --mode webhook --host 127.0.0.1 --port 8080 # webhook server (opt-in)\nrust-script scripts/download-datasets.rs\nexperiments/verify-hello-world-examples.sh\n```\n\nExample API call:\n\n```bash\ncurl -s http://127.0.0.1:8080/v1/chat/completions \\\n -H 'content-type: application/json' \\\n -d '{\"model\":\"formal-symbolic-poc\",\"messages\":[{\"role\":\"user\",\"content\":\"Hi\"}]}'\n```\n\nExample Telegram webhook update:\n\n```bash\ncurl -s http://127.0.0.1:8080/telegram/webhook \\\n -H 'content-type: application/json' \\\n -d '{\"update_id\":1,\"message\":{\"message_id\":7,\"date\":1,\"chat\":{\"id\":42,\"type\":\"private\"},\"text\":\"Write me hello world program in Rust\"}}'\n```\n\nDocker:\n\n```bash\ndocker build -t formal-ai .\ndocker run --rm -p 8080:8080 formal-ai\n```\n\nThe static demo lives in `src/web/index.html`. Serve it from a local web server or GitHub Pages so the WebAssembly worker can be fetched by the browser. The demo starts with a user greeting, renders markdown in messages, previews markdown input, and includes a randomized dialog mode for hello-world prompts across several programming languages.\n\n### Full-memory export and import\n\nEvery interface produces the same self-contained Links Notation document by default. In the browser, the **Export memory** topbar button writes `formal-ai-memory.lino` as a complete `formal_ai_bundle` — the entire seed (rules, concepts, tools, multilingual responses), UI preferences, environment metadata, and the full append-only event log — so a single click is enough to reconstitute the session. **Import memory** auto-detects bundle vs legacy `demo_memory` files and surfaces migration suggestions when the imported seed version differs from the running app's. The CLI matches:\n\n```bash\ncargo run -- memory export --from memory.lino --path full.lino # default: full bundle\ncargo run -- memory export --from memory.lino --path events.lino --events-only # legacy demo_memory\ncargo run -- memory import --path full.lino --into memory.lino # accepts either format\ncargo run -- bundle export --path bundle.lino --memory memory.lino\ncargo run -- bundle import --path bundle.lino --into memory.lino\n```\n\nThe Rust library re-exports the same helpers — `export_memory_full`, `import_memory_full`, `suggest_memory_migrations`, `BundleInfo`, `ParsedBundle` — so embedders writing their own surface get the same defaults. The prefilled **Report issue** link tells users to wrap the export in a `.zip` (GitHub does not yet accept `.lino` attachments) and to redact sensitive content before attaching.\n\n## Telegram Bot\n\nThe `formal-ai telegram` subcommand defaults to long polling and keeps the webhook server available as an opt-in mode. The CLI is configured through [`lino-arguments`](https://github.com/link-foundation/lino-arguments) (a clap-compatible derive), so every flag also reads from the matching environment variable and from `.lenv`/`.env` files in the working directory.\n\n### Long polling (default)\n\n```bash\nexport TELEGRAM_BOT_TOKEN=123:abc\ncargo run -- telegram # polling by default\ncargo run -- telegram --mode polling \\\n --timeout 30 --limit 100 \\\n --allowed-updates message,edited_message\n```\n\nThe polling client shells out to `curl`, calls Telegram's `getUpdates`, advances the offset after each batch, and replies through `sendMessage` with HTML formatting. The same `FormalAiEngine` used by the library, HTTP API, and web demo is reused, so polling answers match the other surfaces.\n\n### Webhook (opt-in)\n\n```bash\ncargo run -- telegram --mode webhook --host 127.0.0.1 --port 8080\n# or equivalently for backwards compatibility:\ncargo run -- serve --host 127.0.0.1 --port 8080\n```\n\nExpose the server through HTTPS and register the endpoint with Telegram:\n\n```bash\ncurl -s \"https://api.telegram.org/bot${TELEGRAM_BOT_TOKEN}/setWebhook\" \\\n -d \"url=https://example.com/telegram/webhook\"\n```\n\nThe webhook accepts Telegram `message`, `edited_message`, `channel_post`, and `edited_channel_post` updates. It returns a direct Telegram `sendMessage` response for both private chats and group/channel chat IDs, using Telegram HTML formatting so code blocks survive the chat surface. This prototype does not store a bot token or perform outbound Telegram API calls from the webhook path; large file attachments require an outbound bot-client layer.\n\n## Rust Library\n\n```rust\nuse formal_ai::{create_chat_completion, ChatCompletionRequest, ChatMessage, MessageContent};\n\nlet request = ChatCompletionRequest {\n model: None,\n messages: vec![ChatMessage {\n role: String::from(\"user\"),\n content: MessageContent::Text(String::from(\"Hi\")),\n }],\n stream: false,\n};\n\nlet completion = create_chat_completion(&request);\nassert_eq!(\n completion.choices[0].message.content.plain_text(),\n \"Hi, how may I help you?\"\n);\n```\n\n## Current Symbolic Behavior\n\nThe engine normalizes a prompt, selects a deterministic symbolic rule, and returns the rule output with evidence link identifiers and indented Links Notation. Seed rules currently cover:\n\n- greetings: `Hi`, `Hello`, `Hey`\n- hello world requests for Rust, Python, JavaScript, TypeScript, Go, and C\n- unknown prompts, which return an explicit learnable-rule fallback\n\nHello-world answers include execution metadata. Rust, Python, JavaScript, Go, and C examples are compiled or syntax-checked and run by the issue-8 local verification harness with captured output. TypeScript is returned with an explicit warning because `tsc` is not configured in the current repository runtime.\n\nNo GPU, neural network, remote model, or random sampling is used.\n\n## Dataset Seeds\n\nIssue #1 source indexes and seed prompts are stored as indented Links Notation in `data/`.\n\n```bash\nrust-script scripts/download-datasets.rs\nrust-script scripts/check-file-size.rs\n```\n\nThe generator writes source, greeting, hello-world, and demo-dialog records. `.lino` files are kept below 1500 lines and validated by the unit tests.\n\n## Development\n\n```bash\ncargo fmt --all -- --check\ncargo clippy --all-targets --all-features\ncargo test --all-features --verbose\ncargo test --doc --verbose\nrust-script scripts/check-file-size.rs\n```\n\nSee [REQUIREMENTS.md](REQUIREMENTS.md) for the cumulative requirement matrix (now alongside [VISION.md](VISION.md)) and [docs/case-studies/issue-1/README.md](docs/case-studies/issue-1/README.md) for the collected research and implementation plan.",
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[2026-05-15T17:40:40.304Z] [INFO] "content": "# Contributing to rust-ai-driven-development-pipeline-template\n\nThank you for your interest in contributing! This document provides guidelines and instructions for contributing to this project.\n\n## Development Setup\n\n1. **Fork and clone the repository**\n\n ```bash\n git clone https://github.com/YOUR-USERNAME/rust-ai-driven-development-pipeline-template.git\n cd rust-ai-driven-development-pipeline-template\n ```\n\n2. **Install Rust**\n\n Install Rust using rustup (if not already installed):\n\n ```bash\n curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh\n ```\n\n3. **Install development tools**\n\n ```bash\n rustup component add rustfmt clippy\n cargo install rust-script\n ```\n\n4. **Install pre-commit hooks** (optional but recommended)\n\n ```bash\n pip install pre-commit\n pre-commit install\n ```\n\n5. **Build the project**\n\n ```bash\n cargo build\n ```\n\n## Development Workflow\n\n1. **Create a feature branch**\n\n ```bash\n git checkout -b feature/my-feature\n ```\n\n2. **Make your changes**\n\n - Write code following the project's style guidelines\n - Add tests for any new functionality\n - Update documentation as needed\n\n3. **Run quality checks**\n\n ```bash\n # Format code\n cargo fmt\n\n # Run Clippy lints\n cargo clippy --all-targets --all-features\n\n # Check file sizes (requires rust-script)\n rust-script scripts/check-file-size.rs\n\n # Run all checks together\n cargo fmt --check && cargo clippy --all-targets --all-features && rust-script scripts/check-file-size.rs\n ```\n\n4. **Run tests**\n\n ```bash\n # Run all tests\n cargo test\n\n # Run tests with verbose output\n cargo test --verbose\n\n # Run doc tests\n cargo test --doc\n\n # Run a specific test\n cargo test test_name\n ```\n\n CI caps each test-matrix job at 10 minutes. Rust's built-in `cargo test` runner does not provide a portable global per-test timeout, so wrap long-running network, IO, or async tests with explicit test-level deadlines. If a repository adopts `cargo nextest`, configure runner deadlines with options such as `--slow-timeout` and `--leak-timeout`.\n\n5. **Add a changelog fragment**\n\n For any user-facing changes, create a changelog fragment:\n\n ```bash\n # Create a new file in changelog.d/\n # Format: YYYYMMDD_HHMMSS_description.md\n touch changelog.d/$(date +%Y%m%d_%H%M%S)_my_change.md\n ```\n\n Edit the file to document your changes:\n\n ```markdown\n ### Added\n - Description of new feature\n\n ### Fixed\n - Description of bug fix\n ```\n\n **Why fragments?** This prevents merge conflicts in CHANGELOG.md when multiple PRs are open simultaneously.\n\n6. **Commit your changes**\n\n ```bash\n git add .\n git commit -m \"feat: add new feature\"\n ```\n\n Pre-commit hooks will automatically run and check your code.\n\n7. **Push and create a Pull Request**\n\n ```bash\n git push origin feature/my-feature\n ```\n\n Then create a Pull Request on GitHub.\n\n## Code Style Guidelines\n\nThis project uses:\n\n- **rustfmt** for code formatting\n- **Clippy** for linting with pedantic and nursery lints enabled\n- **cargo test** for testing\n\n### Code Standards\n\n- Follow Rust idioms and best practices\n- Use documentation comments (`///`) for all public APIs\n- Write tests for all new functionality\n- Keep functions focused and reasonably sized\n- Keep files under 1000 lines\n- Use meaningful variable and function names\n\n### Documentation Format\n\nUse Rust documentation comments:\n\n```rust\n/// Brief description of the function.\n///\n/// Longer description if needed.\n///\n/// # Arguments\n///\n/// * `arg1` - Description of arg1\n/// * `arg2` - Description of arg2\n///\n/// # Returns\n///\n/// Description of return value\n///\n/// # Errors\n///\n/// Description of when errors are returned\n///\n/// # Examples\n///\n/// ```\n/// use my_package::example_function;\n/// let result = example_function(1, 2);\n/// assert_eq!(result, 3);\n/// ```\npub fn example_function(arg1: i32, arg2: i32) -> i32 {\n arg1 + arg2\n}\n```\n\n## Testing Guidelines\n\n- Write tests for all new features\n- Maintain or improve test coverage\n- Use descriptive test names\n- Organize tests in modules when appropriate\n- Use `#[cfg(test)]` for test-only code\n\nExample test structure:\n\n```rust\n#[cfg(test)]\nmod tests {\n use super::*;\n\n mod my_feature_tests {\n use super::*;\n\n #[test]\n fn test_basic_functionality() {\n assert_eq!(my_function(), expected_result);\n }\n\n #[test]\n fn test_edge_case() {\n assert_eq!(my_function(edge_case_input), expected_result);\n }\n }\n}\n```\n\n## Pull Request Process\n\n1. Ensure all tests pass locally\n2. Update documentation if needed\n3. Add a changelog fragment (see step 5 in Development Workflow)\n4. Ensure the PR description clearly describes the changes\n5. Link any related issues in the PR description\n6. Wait for CI checks to pass\n7. Address any review feedback\n\n## Changelog Management\n\nThis project uses a fragment-based changelog system similar to [Scriv](https://scriv.readthedocs.io/) (Python) and [Changesets](https://github.com/changesets/changesets) (JavaScript).\n\n### Creating a Fragment\n\n```bash\n# Create a new fragment with timestamp\ntouch changelog.d/$(date +%Y%m%d_%H%M%S)_description.md\n```\n\n### Fragment Categories\n\nUse these categories in your fragments:\n\n- **Added**: New features\n- **Changed**: Changes to existing functionality\n- **Deprecated**: Features that will be removed in future\n- **Removed**: Features that were removed\n- **Fixed**: Bug fixes\n- **Security**: Security-related changes\n\n### During Release\n\nFragments are automatically collected into CHANGELOG.md during the release process. The release workflow:\n\n1. Collects all fragments\n2. Updates CHANGELOG.md with the new version entry\n3. Removes processed fragment files\n4. Bumps the version in Cargo.toml\n5. Creates a git tag and GitHub release\n\n## Project Structure\n\n```\n.\n├── .github/workflows/ # GitHub Actions CI/CD\n├── changelog.d/ # Changelog fragments\n│ ├── README.md # Fragment instructions\n│ └── *.md # Individual changelog fragments\n├── examples/ # Usage examples\n├── scripts/ # Rust scripts (via rust-script)\n├── src/\n│ ├── lib.rs # Library entry point\n│ └── main.rs # Binary entry point\n├── tests/ # Integration tests\n├── .gitignore # Git ignore patterns\n├── .pre-commit-config.yaml # Pre-commit hooks\n├── Cargo.toml # Project configuration\n├── CHANGELOG.md # Project changelog\n├── CONTRIBUTING.md # This file\n├── LICENSE # Unlicense (public domain)\n└── README.md # Project README\n```\n\n## Release Process\n\nThis project uses semantic versioning (MAJOR.MINOR.PATCH):\n\n- **MAJOR**: Breaking changes\n- **MINOR**: New features (backward compatible)\n- **PATCH**: Bug fixes (backward compatible)\n\nReleases are managed through GitHub releases. 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[2026-05-15T17:40:40.304Z] [INFO] "stdout": "# Contributing to rust-ai-driven-development-pipeline-template\n\nThank you for your interest in contributing! This document provides guidelines and instructions for contributing to this project.\n\n## Development Setup\n\n1. **Fork and clone the repository**\n\n ```bash\n git clone https://github.com/YOUR-USERNAME/rust-ai-driven-development-pipeline-template.git\n cd rust-ai-driven-development-pipeline-template\n ```\n\n2. **Install Rust**\n\n Install Rust using rustup (if not already installed):\n\n ```bash\n curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh\n ```\n\n3. **Install development tools**\n\n ```bash\n rustup component add rustfmt clippy\n cargo install rust-script\n ```\n\n4. **Install pre-commit hooks** (optional but recommended)\n\n ```bash\n pip install pre-commit\n pre-commit install\n ```\n\n5. **Build the project**\n\n ```bash\n cargo build\n ```\n\n## Development Workflow\n\n1. **Create a feature branch**\n\n ```bash\n git checkout -b feature/my-feature\n ```\n\n2. **Make your changes**\n\n - Write code following the project's style guidelines\n - Add tests for any new functionality\n - Update documentation as needed\n\n3. **Run quality checks**\n\n ```bash\n # Format code\n cargo fmt\n\n # Run Clippy lints\n cargo clippy --all-targets --all-features\n\n # Check file sizes (requires rust-script)\n rust-script scripts/check-file-size.rs\n\n # Run all checks together\n cargo fmt --check && cargo clippy --all-targets --all-features && rust-script scripts/check-file-size.rs\n ```\n\n4. **Run tests**\n\n ```bash\n # Run all tests\n cargo test\n\n # Run tests with verbose output\n cargo test --verbose\n\n # Run doc tests\n cargo test --doc\n\n # Run a specific test\n cargo test test_name\n ```\n\n CI caps each test-matrix job at 10 minutes. Rust's built-in `cargo test` runner does not provide a portable global per-test timeout, so wrap long-running network, IO, or async tests with explicit test-level deadlines. If a repository adopts `cargo nextest`, configure runner deadlines with options such as `--slow-timeout` and `--leak-timeout`.\n\n5. **Add a changelog fragment**\n\n For any user-facing changes, create a changelog fragment:\n\n ```bash\n # Create a new file in changelog.d/\n # Format: YYYYMMDD_HHMMSS_description.md\n touch changelog.d/$(date +%Y%m%d_%H%M%S)_my_change.md\n ```\n\n Edit the file to document your changes:\n\n ```markdown\n ### Added\n - Description of new feature\n\n ### Fixed\n - Description of bug fix\n ```\n\n **Why fragments?** This prevents merge conflicts in CHANGELOG.md when multiple PRs are open simultaneously.\n\n6. **Commit your changes**\n\n ```bash\n git add .\n git commit -m \"feat: add new feature\"\n ```\n\n Pre-commit hooks will automatically run and check your code.\n\n7. **Push and create a Pull Request**\n\n ```bash\n git push origin feature/my-feature\n ```\n\n Then create a Pull Request on GitHub.\n\n## Code Style Guidelines\n\nThis project uses:\n\n- **rustfmt** for code formatting\n- **Clippy** for linting with pedantic and nursery lints enabled\n- **cargo test** for testing\n\n### Code Standards\n\n- Follow Rust idioms and best practices\n- Use documentation comments (`///`) for all public APIs\n- Write tests for all new functionality\n- Keep functions focused and reasonably sized\n- Keep files under 1000 lines\n- Use meaningful variable and function names\n\n### Documentation Format\n\nUse Rust documentation comments:\n\n```rust\n/// Brief description of the function.\n///\n/// Longer description if needed.\n///\n/// # Arguments\n///\n/// * `arg1` - Description of arg1\n/// * `arg2` - Description of arg2\n///\n/// # Returns\n///\n/// Description of return value\n///\n/// # Errors\n///\n/// Description of when errors are returned\n///\n/// # Examples\n///\n/// ```\n/// use my_package::example_function;\n/// let result = example_function(1, 2);\n/// assert_eq!(result, 3);\n/// ```\npub fn example_function(arg1: i32, arg2: i32) -> i32 {\n arg1 + arg2\n}\n```\n\n## Testing Guidelines\n\n- Write tests for all new features\n- Maintain or improve test coverage\n- Use descriptive test names\n- Organize tests in modules when appropriate\n- Use `#[cfg(test)]` for test-only code\n\nExample test structure:\n\n```rust\n#[cfg(test)]\nmod tests {\n use super::*;\n\n mod my_feature_tests {\n use super::*;\n\n #[test]\n fn test_basic_functionality() {\n assert_eq!(my_function(), expected_result);\n }\n\n #[test]\n fn test_edge_case() {\n assert_eq!(my_function(edge_case_input), expected_result);\n }\n }\n}\n```\n\n## Pull Request Process\n\n1. Ensure all tests pass locally\n2. Update documentation if needed\n3. Add a changelog fragment (see step 5 in Development Workflow)\n4. Ensure the PR description clearly describes the changes\n5. Link any related issues in the PR description\n6. Wait for CI checks to pass\n7. Address any review feedback\n\n## Changelog Management\n\nThis project uses a fragment-based changelog system similar to [Scriv](https://scriv.readthedocs.io/) (Python) and [Changesets](https://github.com/changesets/changesets) (JavaScript).\n\n### Creating a Fragment\n\n```bash\n# Create a new fragment with timestamp\ntouch changelog.d/$(date +%Y%m%d_%H%M%S)_description.md\n```\n\n### Fragment Categories\n\nUse these categories in your fragments:\n\n- **Added**: New features\n- **Changed**: Changes to existing functionality\n- **Deprecated**: Features that will be removed in future\n- **Removed**: Features that were removed\n- **Fixed**: Bug fixes\n- **Security**: Security-related changes\n\n### During Release\n\nFragments are automatically collected into CHANGELOG.md during the release process. The release workflow:\n\n1. Collects all fragments\n2. Updates CHANGELOG.md with the new version entry\n3. Removes processed fragment files\n4. Bumps the version in Cargo.toml\n5. Creates a git tag and GitHub release\n\n## Project Structure\n\n```\n.\n├── .github/workflows/ # GitHub Actions CI/CD\n├── changelog.d/ # Changelog fragments\n│ ├── README.md # Fragment instructions\n│ └── *.md # Individual changelog fragments\n├── examples/ # Usage examples\n├── scripts/ # Rust scripts (via rust-script)\n├── src/\n│ ├── lib.rs # Library entry point\n│ └── main.rs # Binary entry point\n├── tests/ # Integration tests\n├── .gitignore # Git ignore patterns\n├── .pre-commit-config.yaml # Pre-commit hooks\n├── Cargo.toml # Project configuration\n├── CHANGELOG.md # Project changelog\n├── CONTRIBUTING.md # This file\n├── LICENSE # Unlicense (public domain)\n└── README.md # Project README\n```\n\n## Release Process\n\nThis project uses semantic versioning (MAJOR.MINOR.PATCH):\n\n- **MAJOR**: Breaking changes\n- **MINOR**: New features (backward compatible)\n- **PATCH**: Bug fixes (backward compatible)\n\nReleases are managed through GitHub releases. To trigger a release:\n\n1. Manually trigger the release workflow with a version bump type\n2. Or: Update the version in Cargo.toml and push to main\n\n## Getting Help\n\n- Open an issue for bugs or feature requests\n- Use discussions for questions and general help\n- Check existing issues and PRs before creating new ones\n\n## Code of Conduct\n\n- Be respectful and inclusive\n- Provide constructive feedback\n- Focus on what is best for the community\n- Show empathy towards other community members\n\nThank you for contributing!",
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[2026-05-15T17:40:49.420Z] [INFO] [log_d7485c] sending request {
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[2026-05-15T17:40:49.421Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true",
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[2026-05-15T17:41:02.118Z] [INFO] "content": " (has(\"who\") && has(\"you\")) ||\n (has(\"what\") && has(\"you\")) ||\n ((has(\"who\") || has(\"what\")) && has(\"formal\") && has(\"ai\")) ||\n (has(\"tell\") && has(\"yourself\")) ||\n (has(\"introduce\") && has(\"yourself\"))\n );\n}\n\nfunction localFallbackAnswer(prompt) {\n const normalized = normalizePrompt(prompt);\n if ([\"hi\", \"hello\", \"hey\"].includes(normalized)) {\n return {\n intent: \"greeting\",\n content: \"Hi, how may I help you?\",\n };\n }\n\n if (isIdentityPrompt(normalized)) {\n return {\n intent: \"identity\",\n content: IDENTITY_ANSWER,\n };\n }\n\n return {\n intent: \"unknown\",\n content: UNKNOWN_ANSWER,\n };\n}\n\nfunction createDemoTurns() {\n const greeting = randomItem(DEMO_GREETINGS);\n const language = randomItem(DEMO_LANGUAGES);\n return [\n {\n text: greeting,\n label: \"Greeting\",\n },\n {\n text: randomItem(language.prompts),\n label: language.language,\n },\n ];\n}\n\nfunction appendCodeBlock(lines, value) {\n const text = String(value ?? \"\");\n const fence = text.includes(\"```\") ? \"````\" : \"```\";\n lines.push(fence);\n lines.push(text);\n lines.push(fence);\n}\n\nfunction shortText(value, limit = 70) {\n const normalized = String(value ?? \"\").replace(/\\s+/g, \" \").trim();\n if (normalized.length <= limit) {\n return normalized;\n }\n\n return `${normalized.slice(0, limit - 3)}...`;\n}\n\nfunction promptBeforeMessage(messages, focusMessage) {\n let prompt = \"\";\n for (const message of messages) {\n if (message.role === \"user\") {\n prompt = message.content;\n }\n if (focusMessage && message.id === focusMessage.id) {\n break;\n }\n }\n return prompt;\n}\n\nfunction createIssueTitle(messages, focusMessage) {\n const prompt = promptBeforeMessage(messages, focusMessage);\n if (focusMessage?.intent === \"unknown\" && prompt) {\n return `Unknown prompt: ${shortText(prompt, 80)}`;\n }\n if (prompt) {\n return `Issue with dialog: ${shortText(prompt, 80)}`;\n }\n return \"formal-ai demo issue report\";\n}\n\nfunction createIssueReportBody({\n messages,\n focusMessage,\n workerState,\n demoMode,\n demoStatus,\n diagnosticsMode,\n}) {\n const lines = [\n \"## Environment\",\n \"\",\n `- **Version**: ${APP_VERSION}`,\n `- **URL**: ${window.location.href}`,\n `- **User Agent**: ${navigator.userAgent}`,\n `- **Worker**: ${workerState}`,\n `- **Mode**: ${demoMode ? \"demo\" : \"manual\"}`,\n `- **Status**: ${demoStatus}`,\n `- **Diagnostics**: ${diagnosticsMode ? \"on\" : \"off\"}`,\n `- **Timestamp**: ${new Date().toISOString()}`,\n \"\",\n \"## Dialog\",\n \"\",\n ];\n\n if (messages.length === 0) {\n lines.push(\"No messages have been sent yet.\");\n } else {\n messages.forEach((message, index) => {\n const reported = focusMessage?.id === message.id ? \" (reported message)\" : \"\";\n lines.push(`### ${index + 1}. ${message.author}${reported}`);\n lines.push(\"\");\n lines.push(`- **Role**: ${message.role}`);\n lines.push(`- **Time**: ${message.sentAt}`);\n if (message.intent) {\n lines.push(`- **Intent**: intent: ${message.intent}`);\n }\n if (message.demoLabel) {\n lines.push(`- **Demo label**: ${message.demoLabel}`);\n }\n lines.push(\"\");\n appendCodeBlock(lines, message.content);\n lines.push(\"\");\n });\n }\n\n const prompt = promptBeforeMessage(messages, focusMessage);\n lines.push(\"\");\n lines.push(\"## Reproduction Steps\");\n lines.push(\"\");\n lines.push(`1. Open ${window.location.href}`);\n if (prompt) {\n lines.push(`2. Send the prompt \"${shortText(prompt, 120)}\"`);\n lines.push(\"3. Click the report link on the dialog message\");\n } else {\n lines.push(\"2. Use the demo until the issue occurs\");\n lines.push(\"3. Click Report issue\");\n }\n lines.push(\"\");\n lines.push(\"## Description\");\n lines.push(\"\");\n lines.push(\"<!-- Please describe what looked wrong or incomplete. -->\");\n lines.push(\"\");\n lines.push(\"## Attach full memory (recommended)\");\n lines.push(\"\");\n lines.push(\n \"Click **Export memory** in the top bar to save `formal-ai-memory.lino`. The file is the **full memory** of the agent — the entire seed (rules, concepts, tools, multilingual responses), your UI preferences, environment metadata, and the complete append-only event log of this session (every user turn, assistant reply, reasoning step, tool invocation) — so the maintainer can reconstruct the exact session.\",\n );\n lines.push(\"\");\n lines.push(\n \"**Wrap the export in a `.zip` before attaching.** GitHub's issue uploader does not currently accept `.lino` files (see [supported file types](https://docs.github.com/en/get-started/writing-on-github/working-with-advanced-formatting/attaching-files)). On any OS:\",\n );\n lines.push(\"\");\n lines.push(\"- macOS: right-click → *Compress*.\");\n lines.push(\"- Windows: right-click → *Send to* → *Compressed (zipped) folder*.\");\n lines.push(\"- Linux: `zip formal-ai-memory.zip formal-ai-memory.lino`.\");\n lines.push(\"\");\n lines.push(\n \"**Redact sensitive content first.** The export contains everything you typed into the chat. Open `formal-ai-memory.lino` in any text editor and remove personal names, secrets, API keys, internal URLs, or any pasted code you are not comfortable publishing before zipping and attaching.\",\n );\n lines.push(\"\");\n\n return lines.join(\"\\n\");\n}\n\nfunction createIssueUrl(context) {\n const params = new URLSearchParams({\n title: createIssueTitle(context.messages, context.focusMessage),\n body: createIssueReportBody(context),\n labels: ISSUE_LABELS,\n });\n return `https://github.com/${ISSUE_REPOSITORY}/issues/new?${params.toString()}`;\n}\n\nfunction Message({ message, diagnosticsMode, reportIssueUrl }) {\n const evidence = diagnosticsMode ? (message.evidence ?? []) : [];\n const thinkingSteps = diagnosticsMode ? (message.thinkingSteps ?? []) : [];\n const reportLabel = message.intent === \"unknown\" ? \"Report missing rule\" : \"Report issue\";\n\n return h(\n \"article\",\n { className: `message ${message.role}`, \"data-testid\": \"chat-message\" },\n h(\"div\", { className: \"avatar\", \"aria-hidden\": \"true\" }, message.role === \"user\" ? \"Y\" : \"FA\"),\n h(\n \"div\",\n { className: \"message-body\" },\n h(\n \"div\",\n { className: \"message-meta\" },\n h(\"strong\", null, message.author),\n h(\"time\", null, message.sentAt),\n diagnosticsMode && message.intent\n ? h(\"span\", { className: \"intent\" }, `intent:${message.intent}`)\n : null,\n ),\n h(\"div\", {\n className: \"markdown-body\",\n dangerouslySetInnerHTML: markdownHtml(message.content),\n }),\n evidence.length\n ? h(\n \"div\",\n { className: \"evidence-list\" },\n evidence.map((item) => h(\"span\", { key: item }, item)),\n )\n : null,\n thinkingSteps.length\n ? h(\n \"div\",\n { className: \"thinking-steps\" },\n h(\"strong\", null, \"Thinking\"),\n h(\n \"ol\",\n null,\n thinkingSteps.map((item) => h(\"li\", { key: item }, item)),\n ),\n )\n : null,\n reportIssueUrl\n ? h(\n \"div\",\n { className: \"message-actions\" },\n h(\n \"a\",\n {\n href: reportIssueUrl,\n target: \"_blank\",\n rel: \"noopener noreferrer\",\n },\n reportLabel,\n ),\n )\n : null,\n ),\n );\n}\n\nfunction App() {\n const workerRef = useRef(null);\n const pendingResponses = useRef(new Map());\n const transcriptEndRef = useRef(null);\n const importInputRef = useRef(null);\n const [messages, setMessages] = useState([]);\n const [prompt, setPrompt] = useState(\"\");\n const [pending, setPending] = useState(false);\n const [workerState, setWorkerState] = useState(\"wasm worker\");\n const [memoryStatus, setMemoryStatus] = useState(\"\");\n const [seed, setSeed] = useState({\n raw: {},\n tools: [],\n concepts: [],\n responses: {},\n });\n const initialPreferences = useRef(loadPreferences());\n const [demoMode, setDemoMode] = useState(initialPreferences.current.demoMode);\n const [demoPhase, setDemoPhase] = useState(\"manual\");\n const [demoCountdown, setDemoCountdown] = useState(null);\n const [diagnosticsMode, setDiagnosticsMode] = useState(\n initialPreferences.current.diagnosticsMode,\n );\n\n useEffect(() => {\n if (typeof window === \"undefined\" || !window.FormalAiSeed) return;\n let cancelled = false;\n window.FormalAiSeed.loadAll().then((loaded) => {\n if (cancelled) return;\n setSeed(loaded);\n });\n return () => {\n cancelled = true;\n };\n }, []);\n\n const handleExportMemory = useCallback(async () => {\n if (typeof window === \"undefined\" || !window.FormalAiMemory) {\n setMemoryStatus(\"Memory unavailable\");\n return;\n }\n try {\n const events = await window.FormalAiMemory.listEvents();\n const preferences = loadPreferences();\n const text = window.FormalAiMemory.exportFullMemory({\n seed,\n events,\n preferences,\n info: {\n version: APP_VERSION,\n url: window.location.href,\n userAgent: navigator.userAgent,\n workerState,\n mode: demoMode ? \"demo\" : \"manual\",\n },\n });\n downloadTextFile(MEMORY_EXPORT_FILENAME, text);\n const seedFileCount = seed && seed.raw ? Object.keys(seed.raw).length : 0;\n setMemoryStatus(\n `Exported full memory: ${events.length} event(s) + ${seedFileCount} seed file(s)`,\n );\n } catch (_error) {\n setMemoryStatus(\"Export failed\");\n }\n }, [seed, workerState, demoMode]);\n\n const handleExportBundle = useCallback(async () => {\n if (typeof window === \"undefined\" || !window.FormalAiMemory) {\n setMemoryStatus(\"Memory unavailable\");\n return;\n }\n try {\n const events = await window.FormalAiMemory.listEvents();\n const text = window.FormalAiMemory.exportBundle({\n seed,\n events,\n info: {\n version: APP_VERSION,\n url: window.location.href,\n userAgent: navigator.userAgent,\n workerState,\n mode: demoMode ? \"demo\" : \"manual\",\n },\n });\n downloadTextFile(BUNDLE_EXPORT_FILENAME, text);\n setMemoryStatus(`Bundled ${events.length} events + seed`);\n } catch (_error) {\n setMemoryStatus(\"Bundle export failed\");\n }\n }, [seed, workerState, demoMode]);\n\n const handleImportMemory = useCallback(async (event) => {\n const file = event.target.files && event.target.files[0];\n event.target.value = \"\";\n if (!file || typeof window === \"undefined\" || !window.FormalAiMemory) {\n return;\n }\n try {\n const text = await file.text();\n const imported = window.FormalAiMemory.importFullMemory(text);\n const inserted = await window.FormalAiMemory.importEvents(imported.events);\n const current = {\n agentInfo: seed && seed.agentInfo ? seed.agentInfo : {},\n info: { version: APP_VERSION },\n };\n const suggestions = window.FormalAiMemory.suggestMigrations({\n imported,\n current,\n });\n const headline =\n imported.kind === \"bundle\"\n ? `Imported ${inserted} event(s) from full bundle`\n : `Imported ${inserted} events`;\n if (suggestions.length > 0) {\n setMemoryStatus(\n `${headline}. Migration: ${suggestions.join(\" / \")}`,\n );\n } else {\n setMemoryStatus(headline);\n }\n } catch (_error) {\n setMemoryStatus(\"Import failed\");\n }\n }, [seed]);\n\n const triggerImportMemory = useCallback(() => {\n if (importInputRef.current) {\n importInputRef.current.click();\n }\n }, []);\n\n useEffect(() => {\n persistPreferences({ demoMode, diagnosticsMode });\n }, [demoMode, diagnosticsMode]);\n\n useEffect(() => {\n const worker = new Worker(withAssetVersion(\"formal_ai_worker.js\"));\n workerRef.current = worker;\n worker.onmessage = (event) => {\n if (event.data.kind === \"ready\") {\n setWorkerState(event.data.mode);\n return;\n }\n\n const requestId = event.data.requestId;\n const resolver = pendingResponses.current.get(requestId);\n if (resolver) {\n pendingResponses.current.delete(requestId);\n resolver(event.data);\n }\n };\n\n return () => worker.terminate();\n }, []);\n\n useEffect(() => {\n transcriptEndRef.current?.scrollIntoView({ block: \"end\" });\n }, [messages]);",
[2026-05-15T17:41:02.118Z] [INFO] "is_error": false
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[2026-05-15T17:41:02.118Z] [INFO] ]
[2026-05-15T17:41:02.118Z] [INFO] },
[2026-05-15T17:41:02.118Z] [INFO] "parent_tool_use_id": null,
[2026-05-15T17:41:02.118Z] [INFO] "session_id": "8f33cb23-e6be-484f-b0cb-5fe27c692d2a",
[2026-05-15T17:41:02.118Z] [INFO] "uuid": "8d5afb6d-079c-4798-99b4-6668e2e5b2fe",
[2026-05-15T17:41:02.118Z] [INFO] "timestamp": "2026-05-15T17:41:02.116Z",
[2026-05-15T17:41:02.118Z] [INFO] "tool_use_result": {
[2026-05-15T17:41:02.118Z] [INFO] "stdout": " (has(\"who\") && has(\"you\")) ||\n (has(\"what\") && has(\"you\")) ||\n ((has(\"who\") || has(\"what\")) && has(\"formal\") && has(\"ai\")) ||\n (has(\"tell\") && has(\"yourself\")) ||\n (has(\"introduce\") && has(\"yourself\"))\n );\n}\n\nfunction localFallbackAnswer(prompt) {\n const normalized = normalizePrompt(prompt);\n if ([\"hi\", \"hello\", \"hey\"].includes(normalized)) {\n return {\n intent: \"greeting\",\n content: \"Hi, how may I help you?\",\n };\n }\n\n if (isIdentityPrompt(normalized)) {\n return {\n intent: \"identity\",\n content: IDENTITY_ANSWER,\n };\n }\n\n return {\n intent: \"unknown\",\n content: UNKNOWN_ANSWER,\n };\n}\n\nfunction createDemoTurns() {\n const greeting = randomItem(DEMO_GREETINGS);\n const language = randomItem(DEMO_LANGUAGES);\n return [\n {\n text: greeting,\n label: \"Greeting\",\n },\n {\n text: randomItem(language.prompts),\n label: language.language,\n },\n ];\n}\n\nfunction appendCodeBlock(lines, value) {\n const text = String(value ?? \"\");\n const fence = text.includes(\"```\") ? \"````\" : \"```\";\n lines.push(fence);\n lines.push(text);\n lines.push(fence);\n}\n\nfunction shortText(value, limit = 70) {\n const normalized = String(value ?? \"\").replace(/\\s+/g, \" \").trim();\n if (normalized.length <= limit) {\n return normalized;\n }\n\n return `${normalized.slice(0, limit - 3)}...`;\n}\n\nfunction promptBeforeMessage(messages, focusMessage) {\n let prompt = \"\";\n for (const message of messages) {\n if (message.role === \"user\") {\n prompt = message.content;\n }\n if (focusMessage && message.id === focusMessage.id) {\n break;\n }\n }\n return prompt;\n}\n\nfunction createIssueTitle(messages, focusMessage) {\n const prompt = promptBeforeMessage(messages, focusMessage);\n if (focusMessage?.intent === \"unknown\" && prompt) {\n return `Unknown prompt: ${shortText(prompt, 80)}`;\n }\n if (prompt) {\n return `Issue with dialog: ${shortText(prompt, 80)}`;\n }\n return \"formal-ai demo issue report\";\n}\n\nfunction createIssueReportBody({\n messages,\n focusMessage,\n workerState,\n demoMode,\n demoStatus,\n diagnosticsMode,\n}) {\n const lines = [\n \"## Environment\",\n \"\",\n `- **Version**: ${APP_VERSION}`,\n `- **URL**: ${window.location.href}`,\n `- **User Agent**: ${navigator.userAgent}`,\n `- **Worker**: ${workerState}`,\n `- **Mode**: ${demoMode ? \"demo\" : \"manual\"}`,\n `- **Status**: ${demoStatus}`,\n `- **Diagnostics**: ${diagnosticsMode ? \"on\" : \"off\"}`,\n `- **Timestamp**: ${new Date().toISOString()}`,\n \"\",\n \"## Dialog\",\n \"\",\n ];\n\n if (messages.length === 0) {\n lines.push(\"No messages have been sent yet.\");\n } else {\n messages.forEach((message, index) => {\n const reported = focusMessage?.id === message.id ? \" (reported message)\" : \"\";\n lines.push(`### ${index + 1}. ${message.author}${reported}`);\n lines.push(\"\");\n lines.push(`- **Role**: ${message.role}`);\n lines.push(`- **Time**: ${message.sentAt}`);\n if (message.intent) {\n lines.push(`- **Intent**: intent: ${message.intent}`);\n }\n if (message.demoLabel) {\n lines.push(`- **Demo label**: ${message.demoLabel}`);\n }\n lines.push(\"\");\n appendCodeBlock(lines, message.content);\n lines.push(\"\");\n });\n }\n\n const prompt = promptBeforeMessage(messages, focusMessage);\n lines.push(\"\");\n lines.push(\"## Reproduction Steps\");\n lines.push(\"\");\n lines.push(`1. Open ${window.location.href}`);\n if (prompt) {\n lines.push(`2. Send the prompt \"${shortText(prompt, 120)}\"`);\n lines.push(\"3. Click the report link on the dialog message\");\n } else {\n lines.push(\"2. Use the demo until the issue occurs\");\n lines.push(\"3. Click Report issue\");\n }\n lines.push(\"\");\n lines.push(\"## Description\");\n lines.push(\"\");\n lines.push(\"<!-- Please describe what looked wrong or incomplete. -->\");\n lines.push(\"\");\n lines.push(\"## Attach full memory (recommended)\");\n lines.push(\"\");\n lines.push(\n \"Click **Export memory** in the top bar to save `formal-ai-memory.lino`. The file is the **full memory** of the agent — the entire seed (rules, concepts, tools, multilingual responses), your UI preferences, environment metadata, and the complete append-only event log of this session (every user turn, assistant reply, reasoning step, tool invocation) — so the maintainer can reconstruct the exact session.\",\n );\n lines.push(\"\");\n lines.push(\n \"**Wrap the export in a `.zip` before attaching.** GitHub's issue uploader does not currently accept `.lino` files (see [supported file types](https://docs.github.com/en/get-started/writing-on-github/working-with-advanced-formatting/attaching-files)). On any OS:\",\n );\n lines.push(\"\");\n lines.push(\"- macOS: right-click → *Compress*.\");\n lines.push(\"- Windows: right-click → *Send to* → *Compressed (zipped) folder*.\");\n lines.push(\"- Linux: `zip formal-ai-memory.zip formal-ai-memory.lino`.\");\n lines.push(\"\");\n lines.push(\n \"**Redact sensitive content first.** The export contains everything you typed into the chat. Open `formal-ai-memory.lino` in any text editor and remove personal names, secrets, API keys, internal URLs, or any pasted code you are not comfortable publishing before zipping and attaching.\",\n );\n lines.push(\"\");\n\n return lines.join(\"\\n\");\n}\n\nfunction createIssueUrl(context) {\n const params = new URLSearchParams({\n title: createIssueTitle(context.messages, context.focusMessage),\n body: createIssueReportBody(context),\n labels: ISSUE_LABELS,\n });\n return `https://github.com/${ISSUE_REPOSITORY}/issues/new?${params.toString()}`;\n}\n\nfunction Message({ message, diagnosticsMode, reportIssueUrl }) {\n const evidence = diagnosticsMode ? (message.evidence ?? []) : [];\n const thinkingSteps = diagnosticsMode ? (message.thinkingSteps ?? []) : [];\n const reportLabel = message.intent === \"unknown\" ? \"Report missing rule\" : \"Report issue\";\n\n return h(\n \"article\",\n { className: `message ${message.role}`, \"data-testid\": \"chat-message\" },\n h(\"div\", { className: \"avatar\", \"aria-hidden\": \"true\" }, message.role === \"user\" ? \"Y\" : \"FA\"),\n h(\n \"div\",\n { className: \"message-body\" },\n h(\n \"div\",\n { className: \"message-meta\" },\n h(\"strong\", null, message.author),\n h(\"time\", null, message.sentAt),\n diagnosticsMode && message.intent\n ? h(\"span\", { className: \"intent\" }, `intent:${message.intent}`)\n : null,\n ),\n h(\"div\", {\n className: \"markdown-body\",\n dangerouslySetInnerHTML: markdownHtml(message.content),\n }),\n evidence.length\n ? h(\n \"div\",\n { className: \"evidence-list\" },\n evidence.map((item) => h(\"span\", { key: item }, item)),\n )\n : null,\n thinkingSteps.length\n ? h(\n \"div\",\n { className: \"thinking-steps\" },\n h(\"strong\", null, \"Thinking\"),\n h(\n \"ol\",\n null,\n thinkingSteps.map((item) => h(\"li\", { key: item }, item)),\n ),\n )\n : null,\n reportIssueUrl\n ? h(\n \"div\",\n { className: \"message-actions\" },\n h(\n \"a\",\n {\n href: reportIssueUrl,\n target: \"_blank\",\n rel: \"noopener noreferrer\",\n },\n reportLabel,\n ),\n )\n : null,\n ),\n );\n}\n\nfunction App() {\n const workerRef = useRef(null);\n const pendingResponses = useRef(new Map());\n const transcriptEndRef = useRef(null);\n const importInputRef = useRef(null);\n const [messages, setMessages] = useState([]);\n const [prompt, setPrompt] = useState(\"\");\n const [pending, setPending] = useState(false);\n const [workerState, setWorkerState] = useState(\"wasm worker\");\n const [memoryStatus, setMemoryStatus] = useState(\"\");\n const [seed, setSeed] = useState({\n raw: {},\n tools: [],\n concepts: [],\n responses: {},\n });\n const initialPreferences = useRef(loadPreferences());\n const [demoMode, setDemoMode] = useState(initialPreferences.current.demoMode);\n const [demoPhase, setDemoPhase] = useState(\"manual\");\n const [demoCountdown, setDemoCountdown] = useState(null);\n const [diagnosticsMode, setDiagnosticsMode] = useState(\n initialPreferences.current.diagnosticsMode,\n );\n\n useEffect(() => {\n if (typeof window === \"undefined\" || !window.FormalAiSeed) return;\n let cancelled = false;\n window.FormalAiSeed.loadAll().then((loaded) => {\n if (cancelled) return;\n setSeed(loaded);\n });\n return () => {\n cancelled = true;\n };\n }, []);\n\n const handleExportMemory = useCallback(async () => {\n if (typeof window === \"undefined\" || !window.FormalAiMemory) {\n setMemoryStatus(\"Memory unavailable\");\n return;\n }\n try {\n const events = await window.FormalAiMemory.listEvents();\n const preferences = loadPreferences();\n const text = window.FormalAiMemory.exportFullMemory({\n seed,\n events,\n preferences,\n info: {\n version: APP_VERSION,\n url: window.location.href,\n userAgent: navigator.userAgent,\n workerState,\n mode: demoMode ? \"demo\" : \"manual\",\n },\n });\n downloadTextFile(MEMORY_EXPORT_FILENAME, text);\n const seedFileCount = seed && seed.raw ? Object.keys(seed.raw).length : 0;\n setMemoryStatus(\n `Exported full memory: ${events.length} event(s) + ${seedFileCount} seed file(s)`,\n );\n } catch (_error) {\n setMemoryStatus(\"Export failed\");\n }\n }, [seed, workerState, demoMode]);\n\n const handleExportBundle = useCallback(async () => {\n if (typeof window === \"undefined\" || !window.FormalAiMemory) {\n setMemoryStatus(\"Memory unavailable\");\n return;\n }\n try {\n const events = await window.FormalAiMemory.listEvents();\n const text = window.FormalAiMemory.exportBundle({\n seed,\n events,\n info: {\n version: APP_VERSION,\n url: window.location.href,\n userAgent: navigator.userAgent,\n workerState,\n mode: demoMode ? \"demo\" : \"manual\",\n },\n });\n downloadTextFile(BUNDLE_EXPORT_FILENAME, text);\n setMemoryStatus(`Bundled ${events.length} events + seed`);\n } catch (_error) {\n setMemoryStatus(\"Bundle export failed\");\n }\n }, [seed, workerState, demoMode]);\n\n const handleImportMemory = useCallback(async (event) => {\n const file = event.target.files && event.target.files[0];\n event.target.value = \"\";\n if (!file || typeof window === \"undefined\" || !window.FormalAiMemory) {\n return;\n }\n try {\n const text = await file.text();\n const imported = window.FormalAiMemory.importFullMemory(text);\n const inserted = await window.FormalAiMemory.importEvents(imported.events);\n const current = {\n agentInfo: seed && seed.agentInfo ? seed.agentInfo : {},\n info: { version: APP_VERSION },\n };\n const suggestions = window.FormalAiMemory.suggestMigrations({\n imported,\n current,\n });\n const headline =\n imported.kind === \"bundle\"\n ? `Imported ${inserted} event(s) from full bundle`\n : `Imported ${inserted} events`;\n if (suggestions.length > 0) {\n setMemoryStatus(\n `${headline}. Migration: ${suggestions.join(\" / \")}`,\n );\n } else {\n setMemoryStatus(headline);\n }\n } catch (_error) {\n setMemoryStatus(\"Import failed\");\n }\n }, [seed]);\n\n const triggerImportMemory = useCallback(() => {\n if (importInputRef.current) {\n importInputRef.current.click();\n }\n }, []);\n\n useEffect(() => {\n persistPreferences({ demoMode, diagnosticsMode });\n }, [demoMode, diagnosticsMode]);\n\n useEffect(() => {\n const worker = new Worker(withAssetVersion(\"formal_ai_worker.js\"));\n workerRef.current = worker;\n worker.onmessage = (event) => {\n if (event.data.kind === \"ready\") {\n setWorkerState(event.data.mode);\n return;\n }\n\n const requestId = event.data.requestId;\n const resolver = pendingResponses.current.get(requestId);\n if (resolver) {\n pendingResponses.current.delete(requestId);\n resolver(event.data);\n }\n };\n\n return () => worker.terminate();\n }, []);\n\n useEffect(() => {\n transcriptEndRef.current?.scrollIntoView({ block: \"end\" });\n }, [messages]);",
[2026-05-15T17:41:02.118Z] [INFO] "stderr": "",
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[2026-05-15T17:41:02.126Z] [INFO] [log_e84304] sending request {
[2026-05-15T17:41:02.127Z] [INFO] method: "post",
[2026-05-15T17:41:02.127Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true",
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[2026-05-15T17:41:06.137Z] [INFO] "content": " const requestAnswer = useCallback((text, history = []) => {\n const worker = workerRef.current;\n if (!worker) {\n return Promise.resolve(localFallbackAnswer(text));\n }\n\n return new Promise((resolve) => {\n const requestId = `request-${Date.now()}-${Math.random().toString(16).slice(2)}`;\n pendingResponses.current.set(requestId, resolve);\n worker.postMessage({ prompt: text, requestId, history });\n });\n }, []);\n\n const appendUserMessage = useCallback((text, extra = {}) => {\n const message = createMessage(\"user\", text, extra);\n setMessages((current) => [...current, message]);\n recordMemoryEvent({\n kind: \"message\",\n role: \"user\",\n content: text,\n sentAt: new Date().toISOString(),\n demoLabel: extra.demoLabel,\n });\n }, []);\n\n const appendAssistantMessage = useCallback((answer) => {\n const source = workerRef.current ? \"worker\" : \"fallback\";\n const solverEvidence = Array.isArray(answer.evidence) ? answer.evidence : [];\n const evidence = answer.intent\n ? [`intent:${answer.intent}`, `source:${source}`, ...solverEvidence]\n : solverEvidence;\n const thinkingSteps = Array.isArray(answer.steps) && answer.steps.length > 0\n ? answer.steps.map((entry) => `${entry.step}: ${entry.detail}`)\n : [\n \"Normalize prompt text\",\n `Select symbolic intent ${answer.intent || \"unknown\"}`,\n `Render deterministic answer from ${source}`,\n ];\n const message = createMessage(\"assistant\", answer.content, {\n intent: answer.intent,\n evidence,\n thinkingSteps,\n });\n setMessages((current) => [...current, message]);\n const sentAt = new Date().toISOString();\n if (Array.isArray(answer.steps)) {\n answer.steps.forEach((entry) => {\n recordMemoryEvent({\n kind: \"reasoning\",\n role: \"assistant\",\n content: `${entry.step}: ${entry.detail}`,\n intent: answer.intent,\n sentAt,\n });\n });\n }\n if (Array.isArray(answer.toolCalls)) {\n answer.toolCalls.forEach((call) => {\n recordMemoryEvent({\n kind: \"tool_call\",\n role: \"assistant\",\n tool: call.tool,\n inputs: call.inputs,\n outputs: call.outputs,\n content: `tool:${call.tool}`,\n sentAt,\n });\n });\n }\n recordMemoryEvent({\n kind: \"message\",\n role: \"assistant\",\n content: answer.content,\n intent: answer.intent,\n evidence,\n sentAt,\n });\n }, []);\n\n const conversationHistory = useCallback(\n () =>\n messages.map((message) => ({\n role: message.role,\n content: message.content,\n })),\n [messages],\n );\n\n async function sendText(text, extra = {}) {\n const trimmed = text.trim();\n if (!trimmed || pending) {\n return;\n }\n\n setPending(true);\n const history = conversationHistory();\n appendUserMessage(trimmed, extra);\n const answer = await requestAnswer(trimmed, history);\n appendAssistantMessage(answer);\n setPending(false);\n }\n\n async function send() {\n const text = prompt.trim();\n if (!text) {\n return;\n }\n\n setPrompt(\"\");\n await sendText(text);\n }\n\n function handleKeyDown(event) {\n if (event.key === \"Enter\" && !event.shiftKey) {\n event.preventDefault();\n send();\n }\n }\n\n useEffect(() => {\n if (!demoMode) {\n setDemoPhase(\"manual\");\n setDemoCountdown(null);\n return undefined;\n }\n\n let cancelled = false;\n let countdownTimer = 0;\n\n async function runCycle() {\n const turns = createDemoTurns();\n setMessages([]);\n setPending(true);\n setDemoPhase(\"playing\");\n setDemoCountdown(null);\n\n for (const turn of turns) {\n if (cancelled) {\n return;\n }\n\n appendUserMessage(turn.text, { demoLabel: turn.label });\n await wait(randomInt(700, 1300));\n const answer = await requestAnswer(turn.text);\n if (cancelled) {\n return;\n }\n appendAssistantMessage(answer);\n await wait(randomInt(900, 1500));\n }\n\n setPending(false);\n const waitSeconds = randomInt(10, 20);\n let remainingSeconds = waitSeconds;\n setDemoPhase(\"waiting\");\n setDemoCountdown(remainingSeconds);\n countdownTimer = window.setInterval(() => {\n remainingSeconds -= 1;\n if (remainingSeconds <= 0) {\n window.clearInterval(countdownTimer);\n if (!cancelled) {\n runCycle();\n }\n return;\n }\n setDemoCountdown(remainingSeconds);\n }, 1000);\n }\n\n runCycle();\n\n return () => {\n cancelled = true;\n window.clearInterval(countdownTimer);\n setPending(false);\n };\n }, [appendAssistantMessage, appendUserMessage, demoMode, requestAnswer]);\n\n const lastAssistant = useMemo(\n () => [...messages].reverse().find((message) => message.role === \"assistant\"),\n [messages],\n );\n\n const demoStatus = demoMode\n ? demoPhase === \"waiting\" && demoCountdown !== null\n ? `Next dialog in ${demoCountdown}s`\n : \"Demo playing\"\n : \"Manual mode\";\n const reportContext = {\n messages,\n workerState,\n demoMode,\n demoStatus,\n diagnosticsMode,\n };\n const currentReportUrl = createIssueUrl(reportContext);\n\n return h(\n \"main\",\n { className: \"app\" },\n h(\n \"header\",\n { className: \"topbar\" },\n h(\"div\", { className: \"brand\" }, h(\"span\", { className: \"mark\" }, \"FA\"), h(\"strong\", null, \"formal-ai\")),\n h(\n \"div\",\n { className: \"topbar-actions\" },\n h(\"span\", { className: \"demo-status\", \"data-testid\": \"demo-status\", role: \"status\" }, demoStatus),\n diagnosticsMode ? h(\"span\", { className: \"status\" }, workerState) : null,\n h(\n \"a\",\n {\n className: \"report-button\",\n \"data-testid\": \"report-issue\",\n href: currentReportUrl,\n target: \"_blank\",\n rel: \"noopener noreferrer\",\n title:\n \"Open a pre-filled GitHub issue with the current session transcript. Click Export memory to save the full agent state, redact sensitive content, wrap it in a .zip, and attach it (GitHub does not accept .lino directly yet).\",\n },\n \"Report issue\",\n ),\n h(\n \"button\",\n {\n type: \"button\",\n className: \"memory-button\",\n \"data-testid\": \"memory-export\",\n onClick: handleExportMemory,\n title:\n \"Save the full agent state to formal-ai-memory.lino: the entire seed, UI preferences, environment metadata, and the append-only event log. Wrap the file in a .zip before attaching it to a GitHub issue (the issue uploader does not accept .lino directly yet).\",\n },\n \"Export memory\",\n ),\n h(\n \"button\",\n {\n type: \"button\",\n className: \"memory-button\",\n \"data-testid\": \"memory-import\",\n onClick: triggerImportMemory,\n title:\n \"Load a previous export. Accepts both the new full-memory bundle and the legacy demo_memory event-only log. Migration hints are shown next to this bar.\",\n },\n \"Import memory\",\n ),\n h(\n \"button\",\n {\n type: \"button\",\n className: \"memory-button\",\n \"data-testid\": \"memory-bundle\",\n onClick: handleExportBundle,\n title:\n \"Alias for Export memory kept for backwards compatibility. Saves formal-ai-bundle.lino — the same full bundle (seed + memory log + environment metadata) that Export memory now produces.\",\n },\n \"Download bundle\",\n ),\n h(\"input\", {\n ref: importInputRef,\n type: \"file\",\n accept: \".lino,text/plain\",\n style: { display: \"none\" },\n \"data-testid\": \"memory-import-input\",\n onChange: handleImportMemory,\n }),\n memoryStatus\n ? h(\n \"span\",\n {\n className: \"memory-status\",\n role: \"status\",\n \"data-testid\": \"memory-status\",\n },\n memoryStatus,\n )\n : null,\n h(\n \"button\",\n {\n type: \"button\",\n className: \"diagnostics-toggle\",\n \"aria-pressed\": diagnosticsMode,\n onClick: () => setDiagnosticsMode((value) => !value),\n },\n diagnosticsMode ? \"Diagnostics on\" : \"Diagnostics\",\n ),\n h(\n \"button\",\n {\n type: \"button\",\n className: \"mode-toggle\",\n \"aria-pressed\": demoMode,\n onClick: () => setDemoMode((value) => !value),\n },\n demoMode ? \"Demo on\" : \"Demo\",\n ),\n ),\n ),\n h(\n \"section\",\n { className: \"workspace\" },\n h(\n \"aside\",\n { className: \"context-panel\" },\n h(\"h2\", null, \"Prompts\"),\n h(\n \"div\",\n { className: \"prompt-list\" },\n QUICK_PROMPTS.map((item) =>\n h(\n \"button\",\n {\n key: item,\n type: \"button\",\n onClick: () => {\n setDemoMode(false);\n setPrompt(item);\n },\n },\n item,\n ),\n ),\n ),\n seed.tools && seed.tools.length > 0\n ? h(\n \"div\",\n { className: \"tool-registry\", \"data-testid\": \"tool-registry\" },\n h(\"h2\", null, \"Tools\"),\n h(\n \"ul\",\n { className: \"tool-list\" },\n seed.tools.map((tool) =>\n h(\n \"li\",\n {\n key: tool.id,\n className: `tool tool-mode-${tool.mode || \"thinking\"}`,\n \"data-testid\": \"tool-entry\",\n \"data-tool-id\": tool.id,\n \"data-tool-mode\": tool.mode || \"thinking\",\n },\n h(\n \"div\",\n { className: \"tool-head\" },\n h(\"strong\", null, tool.name || tool.id),\n h(\n \"span\",\n { className: \"tool-mode\" },\n tool.mode === \"agent\" ? \"agent\" : \"thinking\",\n ),\n ),\n tool.description\n ? h(\"p\", { className: \"tool-desc\" }, tool.description)\n : null,\n ),\n ),\n ),\n )\n : null,\n diagnosticsMode ? h(\"h2\", null, \"Trace\") : null,\n diagnosticsMode\n ? h(\n \"dl\",\n { className: \"trace-list\" },\n h(\"div\", null, h(\"dt\", null, \"Model\"), h(\"dd\", null, \"formal-symbolic-poc\")),\n h(\"div\", null, h(\"dt\", null, \"Mode\"), h(\"dd\", null, demoStatus)),\n h(\"div\", null, h(\"dt\", null, \"Intent\"), h(\"dd\", null, lastAssistant?.intent ?? \"none\")),\n h(\"div\", null, h(\"dt\", null, \"Data\"), h(\"dd\", null, \"data/source-index.lino\")),\n h(\n \"div\",\n null,\n h(\"dt\", null, \"Seed files\"),\n h(\n \"dd\",\n null,\n Object.keys(seed.raw || {}).join(\", \") || \"(loading)\",\n ),\n ),\n h(\n \"div\",\n null,\n h(\"dt\", null, \"Tools loaded\"),\n h(\"dd\", null, String((seed.tools || []).length)),\n ),\n h(\n \"div\",\n null,\n h(\"dt\", null, \"Concepts loaded\"),\n h(\"dd\", null, String((seed.concepts || []).length)),\n ),\n )\n : null,\n ),\n h(\n \"section\",\n { className: \"chat-panel\" },\n h(\n \"section\",\n { className: \"messages\", \"aria-live\": \"polite\", \"data-testid\": \"message-list\" },\n messages.map((message) =>\n h(Message, {\n key: message.id,\n message,\n diagnosticsMode,\n reportIssueUrl:\n message.role === \"assistant\"\n ? createIssueUrl({ ...reportContext, focusMessage: message })\n : null,\n }),\n ),\n pending\n ? h(\n \"article\",\n { className: \"message assistant pending\" },\n h(\"div\", { className: \"avatar\", \"aria-hidden\": \"true\" }, \"FA\"),\n h(\"div\", { className: \"message-body\" }, h(\"div\", { className: \"typing\" }, \"Working\")),\n )\n : null,\n h(\"div\", { ref: transcriptEndRef }),\n ),\n h(\n \"form\",\n {\n className: \"composer\",\n onSubmit: (event) => {\n event.preventDefault();\n send();\n },\n },\n h(\n \"div\",\n { className: \"composer-grid\" },\n h(\"textarea\", {\n value: prompt,\n rows: 3,\n placeholder: \"Message formal-ai\",\n onChange: (event) => setPrompt(event.target.value),\n onKeyDown: handleKeyDown,\n disabled: demoMode,\n \"data-testid\": \"chat-composer-input\",\n }),\n h(\n \"button\",\n {\n className: \"send-button\",\n type: \"submit\",\n disabled: pending || demoMode || !prompt.trim(),\n \"data-testid\": \"chat-composer-submit\",\n },\n pending ? \"...\" : \"Send\",\n ),\n ),\n ),\n ),\n ),\n );\n}\n\nfunction wait(milliseconds) {\n return new Promise((resolve) => {\n window.setTimeout(resolve, milliseconds);\n });\n}\n\nReactDOM.createRoot(document.getElementById(\"root\")).render(h(App));",
[2026-05-15T17:41:06.137Z] [INFO] "is_error": false
[2026-05-15T17:41:06.137Z] [INFO] }
[2026-05-15T17:41:06.137Z] [INFO] ]
[2026-05-15T17:41:06.137Z] [INFO] },
[2026-05-15T17:41:06.137Z] [INFO] "parent_tool_use_id": null,
[2026-05-15T17:41:06.137Z] [INFO] "session_id": "8f33cb23-e6be-484f-b0cb-5fe27c692d2a",
[2026-05-15T17:41:06.137Z] [INFO] "uuid": "2861aa42-78e5-4c63-be28-da44e7a51033",
[2026-05-15T17:41:06.137Z] [INFO] "timestamp": "2026-05-15T17:41:06.135Z",
[2026-05-15T17:41:06.137Z] [INFO] "tool_use_result": {
[2026-05-15T17:41:06.137Z] [INFO] "stdout": " const requestAnswer = useCallback((text, history = []) => {\n const worker = workerRef.current;\n if (!worker) {\n return Promise.resolve(localFallbackAnswer(text));\n }\n\n return new Promise((resolve) => {\n const requestId = `request-${Date.now()}-${Math.random().toString(16).slice(2)}`;\n pendingResponses.current.set(requestId, resolve);\n worker.postMessage({ prompt: text, requestId, history });\n });\n }, []);\n\n const appendUserMessage = useCallback((text, extra = {}) => {\n const message = createMessage(\"user\", text, extra);\n setMessages((current) => [...current, message]);\n recordMemoryEvent({\n kind: \"message\",\n role: \"user\",\n content: text,\n sentAt: new Date().toISOString(),\n demoLabel: extra.demoLabel,\n });\n }, []);\n\n const appendAssistantMessage = useCallback((answer) => {\n const source = workerRef.current ? \"worker\" : \"fallback\";\n const solverEvidence = Array.isArray(answer.evidence) ? answer.evidence : [];\n const evidence = answer.intent\n ? [`intent:${answer.intent}`, `source:${source}`, ...solverEvidence]\n : solverEvidence;\n const thinkingSteps = Array.isArray(answer.steps) && answer.steps.length > 0\n ? answer.steps.map((entry) => `${entry.step}: ${entry.detail}`)\n : [\n \"Normalize prompt text\",\n `Select symbolic intent ${answer.intent || \"unknown\"}`,\n `Render deterministic answer from ${source}`,\n ];\n const message = createMessage(\"assistant\", answer.content, {\n intent: answer.intent,\n evidence,\n thinkingSteps,\n });\n setMessages((current) => [...current, message]);\n const sentAt = new Date().toISOString();\n if (Array.isArray(answer.steps)) {\n answer.steps.forEach((entry) => {\n recordMemoryEvent({\n kind: \"reasoning\",\n role: \"assistant\",\n content: `${entry.step}: ${entry.detail}`,\n intent: answer.intent,\n sentAt,\n });\n });\n }\n if (Array.isArray(answer.toolCalls)) {\n answer.toolCalls.forEach((call) => {\n recordMemoryEvent({\n kind: \"tool_call\",\n role: \"assistant\",\n tool: call.tool,\n inputs: call.inputs,\n outputs: call.outputs,\n content: `tool:${call.tool}`,\n sentAt,\n });\n });\n }\n recordMemoryEvent({\n kind: \"message\",\n role: \"assistant\",\n content: answer.content,\n intent: answer.intent,\n evidence,\n sentAt,\n });\n }, []);\n\n const conversationHistory = useCallback(\n () =>\n messages.map((message) => ({\n role: message.role,\n content: message.content,\n })),\n [messages],\n );\n\n async function sendText(text, extra = {}) {\n const trimmed = text.trim();\n if (!trimmed || pending) {\n return;\n }\n\n setPending(true);\n const history = conversationHistory();\n appendUserMessage(trimmed, extra);\n const answer = await requestAnswer(trimmed, history);\n appendAssistantMessage(answer);\n setPending(false);\n }\n\n async function send() {\n const text = prompt.trim();\n if (!text) {\n return;\n }\n\n setPrompt(\"\");\n await sendText(text);\n }\n\n function handleKeyDown(event) {\n if (event.key === \"Enter\" && !event.shiftKey) {\n event.preventDefault();\n send();\n }\n }\n\n useEffect(() => {\n if (!demoMode) {\n setDemoPhase(\"manual\");\n setDemoCountdown(null);\n return undefined;\n }\n\n let cancelled = false;\n let countdownTimer = 0;\n\n async function runCycle() {\n const turns = createDemoTurns();\n setMessages([]);\n setPending(true);\n setDemoPhase(\"playing\");\n setDemoCountdown(null);\n\n for (const turn of turns) {\n if (cancelled) {\n return;\n }\n\n appendUserMessage(turn.text, { demoLabel: turn.label });\n await wait(randomInt(700, 1300));\n const answer = await requestAnswer(turn.text);\n if (cancelled) {\n return;\n }\n appendAssistantMessage(answer);\n await wait(randomInt(900, 1500));\n }\n\n setPending(false);\n const waitSeconds = randomInt(10, 20);\n let remainingSeconds = waitSeconds;\n setDemoPhase(\"waiting\");\n setDemoCountdown(remainingSeconds);\n countdownTimer = window.setInterval(() => {\n remainingSeconds -= 1;\n if (remainingSeconds <= 0) {\n window.clearInterval(countdownTimer);\n if (!cancelled) {\n runCycle();\n }\n return;\n }\n setDemoCountdown(remainingSeconds);\n }, 1000);\n }\n\n runCycle();\n\n return () => {\n cancelled = true;\n window.clearInterval(countdownTimer);\n setPending(false);\n };\n }, [appendAssistantMessage, appendUserMessage, demoMode, requestAnswer]);\n\n const lastAssistant = useMemo(\n () => [...messages].reverse().find((message) => message.role === \"assistant\"),\n [messages],\n );\n\n const demoStatus = demoMode\n ? demoPhase === \"waiting\" && demoCountdown !== null\n ? `Next dialog in ${demoCountdown}s`\n : \"Demo playing\"\n : \"Manual mode\";\n const reportContext = {\n messages,\n workerState,\n demoMode,\n demoStatus,\n diagnosticsMode,\n };\n const currentReportUrl = createIssueUrl(reportContext);\n\n return h(\n \"main\",\n { className: \"app\" },\n h(\n \"header\",\n { className: \"topbar\" },\n h(\"div\", { className: \"brand\" }, h(\"span\", { className: \"mark\" }, \"FA\"), h(\"strong\", null, \"formal-ai\")),\n h(\n \"div\",\n { className: \"topbar-actions\" },\n h(\"span\", { className: \"demo-status\", \"data-testid\": \"demo-status\", role: \"status\" }, demoStatus),\n diagnosticsMode ? h(\"span\", { className: \"status\" }, workerState) : null,\n h(\n \"a\",\n {\n className: \"report-button\",\n \"data-testid\": \"report-issue\",\n href: currentReportUrl,\n target: \"_blank\",\n rel: \"noopener noreferrer\",\n title:\n \"Open a pre-filled GitHub issue with the current session transcript. Click Export memory to save the full agent state, redact sensitive content, wrap it in a .zip, and attach it (GitHub does not accept .lino directly yet).\",\n },\n \"Report issue\",\n ),\n h(\n \"button\",\n {\n type: \"button\",\n className: \"memory-button\",\n \"data-testid\": \"memory-export\",\n onClick: handleExportMemory,\n title:\n \"Save the full agent state to formal-ai-memory.lino: the entire seed, UI preferences, environment metadata, and the append-only event log. Wrap the file in a .zip before attaching it to a GitHub issue (the issue uploader does not accept .lino directly yet).\",\n },\n \"Export memory\",\n ),\n h(\n \"button\",\n {\n type: \"button\",\n className: \"memory-button\",\n \"data-testid\": \"memory-import\",\n onClick: triggerImportMemory,\n title:\n \"Load a previous export. Accepts both the new full-memory bundle and the legacy demo_memory event-only log. Migration hints are shown next to this bar.\",\n },\n \"Import memory\",\n ),\n h(\n \"button\",\n {\n type: \"button\",\n className: \"memory-button\",\n \"data-testid\": \"memory-bundle\",\n onClick: handleExportBundle,\n title:\n \"Alias for Export memory kept for backwards compatibility. Saves formal-ai-bundle.lino — the same full bundle (seed + memory log + environment metadata) that Export memory now produces.\",\n },\n \"Download bundle\",\n ),\n h(\"input\", {\n ref: importInputRef,\n type: \"file\",\n accept: \".lino,text/plain\",\n style: { display: \"none\" },\n \"data-testid\": \"memory-import-input\",\n onChange: handleImportMemory,\n }),\n memoryStatus\n ? h(\n \"span\",\n {\n className: \"memory-status\",\n role: \"status\",\n \"data-testid\": \"memory-status\",\n },\n memoryStatus,\n )\n : null,\n h(\n \"button\",\n {\n type: \"button\",\n className: \"diagnostics-toggle\",\n \"aria-pressed\": diagnosticsMode,\n onClick: () => setDiagnosticsMode((value) => !value),\n },\n diagnosticsMode ? \"Diagnostics on\" : \"Diagnostics\",\n ),\n h(\n \"button\",\n {\n type: \"button\",\n className: \"mode-toggle\",\n \"aria-pressed\": demoMode,\n onClick: () => setDemoMode((value) => !value),\n },\n demoMode ? \"Demo on\" : \"Demo\",\n ),\n ),\n ),\n h(\n \"section\",\n { className: \"workspace\" },\n h(\n \"aside\",\n { className: \"context-panel\" },\n h(\"h2\", null, \"Prompts\"),\n h(\n \"div\",\n { className: \"prompt-list\" },\n QUICK_PROMPTS.map((item) =>\n h(\n \"button\",\n {\n key: item,\n type: \"button\",\n onClick: () => {\n setDemoMode(false);\n setPrompt(item);\n },\n },\n item,\n ),\n ),\n ),\n seed.tools && seed.tools.length > 0\n ? h(\n \"div\",\n { className: \"tool-registry\", \"data-testid\": \"tool-registry\" },\n h(\"h2\", null, \"Tools\"),\n h(\n \"ul\",\n { className: \"tool-list\" },\n seed.tools.map((tool) =>\n h(\n \"li\",\n {\n key: tool.id,\n className: `tool tool-mode-${tool.mode || \"thinking\"}`,\n \"data-testid\": \"tool-entry\",\n \"data-tool-id\": tool.id,\n \"data-tool-mode\": tool.mode || \"thinking\",\n },\n h(\n \"div\",\n { className: \"tool-head\" },\n h(\"strong\", null, tool.name || tool.id),\n h(\n \"span\",\n { className: \"tool-mode\" },\n tool.mode === \"agent\" ? \"agent\" : \"thinking\",\n ),\n ),\n tool.description\n ? h(\"p\", { className: \"tool-desc\" }, tool.description)\n : null,\n ),\n ),\n ),\n )\n : null,\n diagnosticsMode ? h(\"h2\", null, \"Trace\") : null,\n diagnosticsMode\n ? h(\n \"dl\",\n { className: \"trace-list\" },\n h(\"div\", null, h(\"dt\", null, \"Model\"), h(\"dd\", null, \"formal-symbolic-poc\")),\n h(\"div\", null, h(\"dt\", null, \"Mode\"), h(\"dd\", null, demoStatus)),\n h(\"div\", null, h(\"dt\", null, \"Intent\"), h(\"dd\", null, lastAssistant?.intent ?? \"none\")),\n h(\"div\", null, h(\"dt\", null, \"Data\"), h(\"dd\", null, \"data/source-index.lino\")),\n h(\n \"div\",\n null,\n h(\"dt\", null, \"Seed files\"),\n h(\n \"dd\",\n null,\n Object.keys(seed.raw || {}).join(\", \") || \"(loading)\",\n ),\n ),\n h(\n \"div\",\n null,\n h(\"dt\", null, \"Tools loaded\"),\n h(\"dd\", null, String((seed.tools || []).length)),\n ),\n h(\n \"div\",\n null,\n h(\"dt\", null, \"Concepts loaded\"),\n h(\"dd\", null, String((seed.concepts || []).length)),\n ),\n )\n : null,\n ),\n h(\n \"section\",\n { className: \"chat-panel\" },\n h(\n \"section\",\n { className: \"messages\", \"aria-live\": \"polite\", \"data-testid\": \"message-list\" },\n messages.map((message) =>\n h(Message, {\n key: message.id,\n message,\n diagnosticsMode,\n reportIssueUrl:\n message.role === \"assistant\"\n ? createIssueUrl({ ...reportContext, focusMessage: message })\n : null,\n }),\n ),\n pending\n ? h(\n \"article\",\n { className: \"message assistant pending\" },\n h(\"div\", { className: \"avatar\", \"aria-hidden\": \"true\" }, \"FA\"),\n h(\"div\", { className: \"message-body\" }, h(\"div\", { className: \"typing\" }, \"Working\")),\n )\n : null,\n h(\"div\", { ref: transcriptEndRef }),\n ),\n h(\n \"form\",\n {\n className: \"composer\",\n onSubmit: (event) => {\n event.preventDefault();\n send();\n },\n },\n h(\n \"div\",\n { className: \"composer-grid\" },\n h(\"textarea\", {\n value: prompt,\n rows: 3,\n placeholder: \"Message formal-ai\",\n onChange: (event) => setPrompt(event.target.value),\n onKeyDown: handleKeyDown,\n disabled: demoMode,\n \"data-testid\": \"chat-composer-input\",\n }),\n h(\n \"button\",\n {\n className: \"send-button\",\n type: \"submit\",\n disabled: pending || demoMode || !prompt.trim(),\n \"data-testid\": \"chat-composer-submit\",\n },\n pending ? \"...\" : \"Send\",\n ),\n ),\n ),\n ),\n ),\n );\n}\n\nfunction wait(milliseconds) {\n return new Promise((resolve) => {\n window.setTimeout(resolve, milliseconds);\n });\n}\n\nReactDOM.createRoot(document.getElementById(\"root\")).render(h(App));",
[2026-05-15T17:41:06.137Z] [INFO] "stderr": "",
[2026-05-15T17:41:06.137Z] [INFO] "interrupted": false,
[2026-05-15T17:41:06.137Z] [INFO] "isImage": false,
[2026-05-15T17:41:06.137Z] [INFO] "noOutputExpected": false
[2026-05-15T17:41:06.137Z] [INFO] }
[2026-05-15T17:41:06.137Z] [INFO] }
[2026-05-15T17:41:06.144Z] [INFO] [log_b7bf00] sending request {
[2026-05-15T17:41:06.144Z] [INFO] method: "post",
[2026-05-15T17:41:06.144Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true",
[2026-05-15T17:41:06.145Z] [INFO] options: {
[2026-05-15T17:41:06.145Z] [INFO] method: "post",
[2026-05-15T17:41:06.145Z] [INFO] path: "/v1/messages?beta=true",
[2026-05-15T17:41:06.145Z] [INFO] body: {
[2026-05-15T17:41:06.145Z] [INFO] model: "claude-opus-4-7",
[2026-05-15T17:41:06.145Z] [INFO] messages: [
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[2026-05-15T17:41:09.440Z] [INFO] "content": ":root {\n color-scheme: light;\n font-family:\n Inter, ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\",\n sans-serif;\n background: #eef2f1;\n color: #1e252b;\n}\n\n* {\n box-sizing: border-box;\n}\n\nbody {\n margin: 0;\n min-width: 320px;\n height: 100vh;\n min-height: 100vh;\n overflow: hidden;\n}\n\nbutton,\ntextarea,\n.report-button {\n font: inherit;\n}\n\nbutton {\n cursor: pointer;\n}\n\n.app {\n height: 100vh;\n min-height: 0;\n display: grid;\n grid-template-rows: auto 1fr;\n}\n\n.topbar {\n min-height: 64px;\n display: flex;\n align-items: center;\n justify-content: space-between;\n gap: 16px;\n padding: 0 24px;\n border-bottom: 1px solid #d6dde1;\n background: #fbfcfd;\n}\n\n.brand,\n.topbar-actions {\n display: flex;\n align-items: center;\n gap: 12px;\n}\n\n.brand strong {\n font-size: 18px;\n}\n\n.mark,\n.avatar {\n display: grid;\n place-items: center;\n color: #ffffff;\n font-weight: 800;\n}\n\n.mark {\n width: 34px;\n height: 34px;\n border-radius: 8px;\n background: #175f4f;\n font-size: 14px;\n}\n\n.avatar {\n width: 38px;\n height: 38px;\n border-radius: 50%;\n font-size: 12px;\n}\n\n.status {\n color: #5f6d78;\n font-size: 14px;\n}\n\n.demo-status {\n color: #40515f;\n font-size: 14px;\n font-weight: 700;\n}\n\n.mode-toggle,\n.diagnostics-toggle,\n.report-button,\n.memory-button,\n.send-button,\n.prompt-list button {\n border: 1px solid #b9c6ca;\n border-radius: 8px;\n background: #ffffff;\n color: #1e252b;\n font-weight: 700;\n}\n\n.mode-toggle,\n.diagnostics-toggle,\n.report-button,\n.memory-button {\n min-height: 38px;\n padding: 0 12px;\n}\n\n.memory-status {\n font-size: 13px;\n color: #40515f;\n align-self: center;\n}\n\n.report-button {\n display: inline-flex;\n align-items: center;\n text-decoration: none;\n}\n\n.mode-toggle[aria-pressed=\"true\"],\n.diagnostics-toggle[aria-pressed=\"true\"],\n.send-button {\n border-color: #175f4f;\n background: #175f4f;\n color: #ffffff;\n}\n\n.workspace {\n min-height: 0;\n display: grid;\n grid-template-columns: minmax(220px, 300px) minmax(0, 1fr);\n overflow: hidden;\n}\n\n.context-panel {\n display: grid;\n align-content: start;\n gap: 14px;\n overflow: auto;\n padding: 18px;\n border-right: 1px solid #d6dde1;\n background: #f7f8fa;\n}\n\n.context-panel h2 {\n margin: 0;\n color: #40515f;\n font-size: 13px;\n text-transform: uppercase;\n}\n\n.prompt-list {\n display: grid;\n gap: 8px;\n}\n\n.prompt-list button {\n min-height: 42px;\n padding: 9px 10px;\n text-align: left;\n overflow-wrap: anywhere;\n}\n\n.prompt-list button:hover {\n border-color: #2d6cdf;\n}\n\n.trace-list {\n display: grid;\n gap: 8px;\n margin: 0;\n}\n\n.trace-list div {\n display: grid;\n gap: 2px;\n border: 1px solid #d6dde1;\n border-radius: 8px;\n padding: 9px 10px;\n background: #ffffff;\n}\n\n.trace-list dt {\n color: #657584;\n font-size: 12px;\n font-weight: 800;\n text-transform: uppercase;\n}\n\n.trace-list dd {\n margin: 0;\n font-size: 14px;\n overflow-wrap: anywhere;\n}\n\n.chat-panel {\n min-width: 0;\n min-height: 0;\n display: grid;\n grid-template-rows: minmax(0, 1fr) auto;\n background: #ffffff;\n}\n\n.messages {\n min-height: 0;\n display: grid;\n align-content: start;\n gap: 14px;\n overflow: auto;\n padding: 24px clamp(14px, 4vw, 48px);\n}\n\n.message {\n display: grid;\n grid-template-columns: 38px minmax(0, 1fr);\n gap: 12px;\n width: min(820px, 100%);\n}\n\n.message.user {\n justify-self: end;\n grid-template-columns: minmax(0, 1fr) 38px;\n}\n\n.message.user .avatar {\n grid-column: 2;\n grid-row: 1;\n background: #2d6cdf;\n}\n\n.message.user .message-body {\n grid-column: 1;\n grid-row: 1;\n background: #edf4ff;\n border-color: #c6d9fb;\n}\n\n.message.assistant .avatar {\n background: #175f4f;\n}\n\n.message-body {\n min-width: 0;\n border: 1px solid #dce4e7;\n border-radius: 8px;\n padding: 12px 14px;\n background: #fbfcfd;\n}\n\n.message-meta {\n display: flex;\n align-items: baseline;\n gap: 8px;\n flex-wrap: wrap;\n color: #667684;\n font-size: 13px;\n}\n\n.message-meta strong {\n color: #1e252b;\n}\n\n.intent {\n border: 1px solid #dac78b;\n border-radius: 999px;\n padding: 2px 7px;\n background: #fff8df;\n color: #6c5512;\n font-size: 12px;\n font-weight: 800;\n}\n\n.markdown-body {\n line-height: 1.5;\n overflow-wrap: anywhere;\n}\n\n.markdown-body p {\n margin: 8px 0;\n}\n\n.markdown-body p:first-child {\n margin-top: 0;\n}\n\n.markdown-body p:last-child {\n margin-bottom: 0;\n}\n\n.markdown-body pre {\n overflow: auto;\n border-radius: 8px;\n padding: 12px;\n background: #111827;\n color: #f7fafc;\n line-height: 1.45;\n}\n\n.markdown-body code {\n font-family: \"SFMono-Regular\", Consolas, \"Liberation Mono\", monospace;\n font-size: 0.92em;\n}\n\n.markdown-body :not(pre) > code {\n border-radius: 5px;\n padding: 2px 5px;\n background: #e9eef1;\n}\n\n.evidence-list {\n display: flex;\n gap: 6px;\n flex-wrap: wrap;\n margin-top: 10px;\n}\n\n.evidence-list span {\n border: 1px solid #cbd6db;\n border-radius: 999px;\n padding: 3px 7px;\n color: #4b5e6b;\n font-size: 12px;\n font-weight: 700;\n}\n\n.thinking-steps {\n margin-top: 10px;\n border-top: 1px solid #dce4e7;\n padding-top: 10px;\n color: #4b5e6b;\n font-size: 12px;\n}\n\n.thinking-steps strong {\n display: block;\n margin-bottom: 6px;\n color: #40515f;\n text-transform: uppercase;\n}\n\n.thinking-steps ol {\n margin: 0;\n padding-left: 18px;\n}\n\n.thinking-steps li + li {\n margin-top: 4px;\n}\n\n.message-actions {\n display: flex;\n gap: 10px;\n margin-top: 10px;\n font-size: 13px;\n font-weight: 700;\n}\n\n.message-actions a {\n color: #175f4f;\n text-decoration: none;\n}\n\n.message-actions a:hover {\n text-decoration: underline;\n}\n\n.pending .message-body {\n width: 116px;\n}\n\n.typing::after {\n content: \"...\";\n}\n\n.composer {\n border-top: 1px solid #d6dde1;\n padding: 14px clamp(14px, 4vw, 48px) 18px;\n background: #f7f8fa;\n}\n\n.composer-grid {\n width: min(860px, 100%);\n margin: 0 auto;\n display: grid;\n grid-template-columns: minmax(0, 1fr) auto;\n gap: 10px;\n align-items: end;\n}\n\ntextarea {\n min-width: 0;\n min-height: 76px;\n max-height: 180px;\n resize: vertical;\n border: 1px solid #b9c6ca;\n border-radius: 8px;\n padding: 12px 13px;\n background: #ffffff;\n color: #1e252b;\n}\n\ntextarea:focus {\n outline: 2px solid #2d6cdf;\n outline-offset: 1px;\n}\n\ntextarea:disabled {\n color: #667684;\n background: #edf1f3;\n}\n\n.send-button {\n min-width: 92px;\n min-height: 44px;\n padding: 0 16px;\n}\n\n.send-button:disabled {\n border-color: #b9c6ca;\n background: #a9b6bb;\n cursor: not-allowed;\n}\n\n@media (max-width: 820px) {\n .topbar {\n min-height: 58px;\n flex-wrap: wrap;\n align-items: flex-start;\n padding: 10px 14px;\n }\n\n .status {\n display: none;\n }\n\n .topbar-actions {\n flex: 1 1 220px;\n flex-wrap: wrap;\n justify-content: flex-end;\n gap: 8px;\n }\n\n .demo-status {\n flex-basis: 100%;\n font-size: 12px;\n text-align: right;\n }\n\n .workspace {\n grid-template-columns: 1fr;\n grid-template-rows: auto minmax(0, 1fr);\n }\n\n .context-panel {\n max-height: 260px;\n border-right: 0;\n border-bottom: 1px solid #d6dde1;\n }\n\n .prompt-list {\n grid-template-columns: repeat(2, minmax(0, 1fr));\n }\n\n .messages {\n padding: 18px 12px;\n }\n\n .message {\n grid-template-columns: 32px minmax(0, 1fr);\n }\n\n .message.user {\n grid-template-columns: minmax(0, 1fr) 32px;\n }\n\n .avatar {\n width: 32px;\n height: 32px;\n }\n\n .composer-grid {\n grid-template-columns: 1fr;\n }\n\n .send-button {\n width: 100%;\n }\n}\n\n.tool-registry {\n margin-top: 18px;\n border-top: 1px solid rgba(127, 127, 127, 0.18);\n padding-top: 14px;\n}\n\n.tool-list {\n list-style: none;\n margin: 0;\n padding: 0;\n display: flex;\n flex-direction: column;\n gap: 8px;\n}\n\n.tool {\n border: 1px solid rgba(127, 127, 127, 0.2);\n border-radius: 8px;\n padding: 8px 10px;\n background: rgba(255, 255, 255, 0.02);\n}\n\n.tool-head {\n display: flex;\n align-items: center;\n justify-content: space-between;\n gap: 8px;\n}\n\n.tool-mode {\n font-size: 11px;\n text-transform: uppercase;\n letter-spacing: 0.04em;\n padding: 2px 6px;\n border-radius: 4px;\n background: rgba(120, 140, 255, 0.18);\n color: #4a5acc;\n}\n\n.tool-mode-agent .tool-mode {\n background: rgba(255, 170, 90, 0.18);\n color: #b66e1a;\n}\n\n.tool-desc {\n margin: 4px 0 0;\n font-size: 12px;\n opacity: 0.75;\n line-height: 1.4;\n}\n\n@media (max-width: 520px) {\n .prompt-list {\n grid-template-columns: 1fr;\n }\n\n .brand strong {\n font-size: 16px;\n }\n\n .mode-toggle {\n min-width: 84px;\n }\n\n .diagnostics-toggle,\n .report-button {\n max-width: 118px;\n overflow: hidden;\n text-overflow: ellipsis;\n white-space: nowrap;\n }\n}",
[2026-05-15T17:41:09.440Z] [INFO] "is_error": false
[2026-05-15T17:41:09.440Z] [INFO] }
[2026-05-15T17:41:09.440Z] [INFO] ]
[2026-05-15T17:41:09.440Z] [INFO] },
[2026-05-15T17:41:09.440Z] [INFO] "parent_tool_use_id": null,
[2026-05-15T17:41:09.440Z] [INFO] "session_id": "8f33cb23-e6be-484f-b0cb-5fe27c692d2a",
[2026-05-15T17:41:09.440Z] [INFO] "uuid": "2daa5cd8-c392-4d53-8959-85ee2ede6fa8",
[2026-05-15T17:41:09.440Z] [INFO] "timestamp": "2026-05-15T17:41:09.439Z",
[2026-05-15T17:41:09.440Z] [INFO] "tool_use_result": {
[2026-05-15T17:41:09.440Z] [INFO] "stdout": ":root {\n color-scheme: light;\n font-family:\n Inter, ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\",\n sans-serif;\n background: #eef2f1;\n color: #1e252b;\n}\n\n* {\n box-sizing: border-box;\n}\n\nbody {\n margin: 0;\n min-width: 320px;\n height: 100vh;\n min-height: 100vh;\n overflow: hidden;\n}\n\nbutton,\ntextarea,\n.report-button {\n font: inherit;\n}\n\nbutton {\n cursor: pointer;\n}\n\n.app {\n height: 100vh;\n min-height: 0;\n display: grid;\n grid-template-rows: auto 1fr;\n}\n\n.topbar {\n min-height: 64px;\n display: flex;\n align-items: center;\n justify-content: space-between;\n gap: 16px;\n padding: 0 24px;\n border-bottom: 1px solid #d6dde1;\n background: #fbfcfd;\n}\n\n.brand,\n.topbar-actions {\n display: flex;\n align-items: center;\n gap: 12px;\n}\n\n.brand strong {\n font-size: 18px;\n}\n\n.mark,\n.avatar {\n display: grid;\n place-items: center;\n color: #ffffff;\n font-weight: 800;\n}\n\n.mark {\n width: 34px;\n height: 34px;\n border-radius: 8px;\n background: #175f4f;\n font-size: 14px;\n}\n\n.avatar {\n width: 38px;\n height: 38px;\n border-radius: 50%;\n font-size: 12px;\n}\n\n.status {\n color: #5f6d78;\n font-size: 14px;\n}\n\n.demo-status {\n color: #40515f;\n font-size: 14px;\n font-weight: 700;\n}\n\n.mode-toggle,\n.diagnostics-toggle,\n.report-button,\n.memory-button,\n.send-button,\n.prompt-list button {\n border: 1px solid #b9c6ca;\n border-radius: 8px;\n background: #ffffff;\n color: #1e252b;\n font-weight: 700;\n}\n\n.mode-toggle,\n.diagnostics-toggle,\n.report-button,\n.memory-button {\n min-height: 38px;\n padding: 0 12px;\n}\n\n.memory-status {\n font-size: 13px;\n color: #40515f;\n align-self: center;\n}\n\n.report-button {\n display: inline-flex;\n align-items: center;\n text-decoration: none;\n}\n\n.mode-toggle[aria-pressed=\"true\"],\n.diagnostics-toggle[aria-pressed=\"true\"],\n.send-button {\n border-color: #175f4f;\n background: #175f4f;\n color: #ffffff;\n}\n\n.workspace {\n min-height: 0;\n display: grid;\n grid-template-columns: minmax(220px, 300px) minmax(0, 1fr);\n overflow: hidden;\n}\n\n.context-panel {\n display: grid;\n align-content: start;\n gap: 14px;\n overflow: auto;\n padding: 18px;\n border-right: 1px solid #d6dde1;\n background: #f7f8fa;\n}\n\n.context-panel h2 {\n margin: 0;\n color: #40515f;\n font-size: 13px;\n text-transform: uppercase;\n}\n\n.prompt-list {\n display: grid;\n gap: 8px;\n}\n\n.prompt-list button {\n min-height: 42px;\n padding: 9px 10px;\n text-align: left;\n overflow-wrap: anywhere;\n}\n\n.prompt-list button:hover {\n border-color: #2d6cdf;\n}\n\n.trace-list {\n display: grid;\n gap: 8px;\n margin: 0;\n}\n\n.trace-list div {\n display: grid;\n gap: 2px;\n border: 1px solid #d6dde1;\n border-radius: 8px;\n padding: 9px 10px;\n background: #ffffff;\n}\n\n.trace-list dt {\n color: #657584;\n font-size: 12px;\n font-weight: 800;\n text-transform: uppercase;\n}\n\n.trace-list dd {\n margin: 0;\n font-size: 14px;\n overflow-wrap: anywhere;\n}\n\n.chat-panel {\n min-width: 0;\n min-height: 0;\n display: grid;\n grid-template-rows: minmax(0, 1fr) auto;\n background: #ffffff;\n}\n\n.messages {\n min-height: 0;\n display: grid;\n align-content: start;\n gap: 14px;\n overflow: auto;\n padding: 24px clamp(14px, 4vw, 48px);\n}\n\n.message {\n display: grid;\n grid-template-columns: 38px minmax(0, 1fr);\n gap: 12px;\n width: min(820px, 100%);\n}\n\n.message.user {\n justify-self: end;\n grid-template-columns: minmax(0, 1fr) 38px;\n}\n\n.message.user .avatar {\n grid-column: 2;\n grid-row: 1;\n background: #2d6cdf;\n}\n\n.message.user .message-body {\n grid-column: 1;\n grid-row: 1;\n background: #edf4ff;\n border-color: #c6d9fb;\n}\n\n.message.assistant .avatar {\n background: #175f4f;\n}\n\n.message-body {\n min-width: 0;\n border: 1px solid #dce4e7;\n border-radius: 8px;\n padding: 12px 14px;\n background: #fbfcfd;\n}\n\n.message-meta {\n display: flex;\n align-items: baseline;\n gap: 8px;\n flex-wrap: wrap;\n color: #667684;\n font-size: 13px;\n}\n\n.message-meta strong {\n color: #1e252b;\n}\n\n.intent {\n border: 1px solid #dac78b;\n border-radius: 999px;\n padding: 2px 7px;\n background: #fff8df;\n color: #6c5512;\n font-size: 12px;\n font-weight: 800;\n}\n\n.markdown-body {\n line-height: 1.5;\n overflow-wrap: anywhere;\n}\n\n.markdown-body p {\n margin: 8px 0;\n}\n\n.markdown-body p:first-child {\n margin-top: 0;\n}\n\n.markdown-body p:last-child {\n margin-bottom: 0;\n}\n\n.markdown-body pre {\n overflow: auto;\n border-radius: 8px;\n padding: 12px;\n background: #111827;\n color: #f7fafc;\n line-height: 1.45;\n}\n\n.markdown-body code {\n font-family: \"SFMono-Regular\", Consolas, \"Liberation Mono\", monospace;\n font-size: 0.92em;\n}\n\n.markdown-body :not(pre) > code {\n border-radius: 5px;\n padding: 2px 5px;\n background: #e9eef1;\n}\n\n.evidence-list {\n display: flex;\n gap: 6px;\n flex-wrap: wrap;\n margin-top: 10px;\n}\n\n.evidence-list span {\n border: 1px solid #cbd6db;\n border-radius: 999px;\n padding: 3px 7px;\n color: #4b5e6b;\n font-size: 12px;\n font-weight: 700;\n}\n\n.thinking-steps {\n margin-top: 10px;\n border-top: 1px solid #dce4e7;\n padding-top: 10px;\n color: #4b5e6b;\n font-size: 12px;\n}\n\n.thinking-steps strong {\n display: block;\n margin-bottom: 6px;\n color: #40515f;\n text-transform: uppercase;\n}\n\n.thinking-steps ol {\n margin: 0;\n padding-left: 18px;\n}\n\n.thinking-steps li + li {\n margin-top: 4px;\n}\n\n.message-actions {\n display: flex;\n gap: 10px;\n margin-top: 10px;\n font-size: 13px;\n font-weight: 700;\n}\n\n.message-actions a {\n color: #175f4f;\n text-decoration: none;\n}\n\n.message-actions a:hover {\n text-decoration: underline;\n}\n\n.pending .message-body {\n width: 116px;\n}\n\n.typing::after {\n content: \"...\";\n}\n\n.composer {\n border-top: 1px solid #d6dde1;\n padding: 14px clamp(14px, 4vw, 48px) 18px;\n background: #f7f8fa;\n}\n\n.composer-grid {\n width: min(860px, 100%);\n margin: 0 auto;\n display: grid;\n grid-template-columns: minmax(0, 1fr) auto;\n gap: 10px;\n align-items: end;\n}\n\ntextarea {\n min-width: 0;\n min-height: 76px;\n max-height: 180px;\n resize: vertical;\n border: 1px solid #b9c6ca;\n border-radius: 8px;\n padding: 12px 13px;\n background: #ffffff;\n color: #1e252b;\n}\n\ntextarea:focus {\n outline: 2px solid #2d6cdf;\n outline-offset: 1px;\n}\n\ntextarea:disabled {\n color: #667684;\n background: #edf1f3;\n}\n\n.send-button {\n min-width: 92px;\n min-height: 44px;\n padding: 0 16px;\n}\n\n.send-button:disabled {\n border-color: #b9c6ca;\n background: #a9b6bb;\n cursor: not-allowed;\n}\n\n@media (max-width: 820px) {\n .topbar {\n min-height: 58px;\n flex-wrap: wrap;\n align-items: flex-start;\n padding: 10px 14px;\n }\n\n .status {\n display: none;\n }\n\n .topbar-actions {\n flex: 1 1 220px;\n flex-wrap: wrap;\n justify-content: flex-end;\n gap: 8px;\n }\n\n .demo-status {\n flex-basis: 100%;\n font-size: 12px;\n text-align: right;\n }\n\n .workspace {\n grid-template-columns: 1fr;\n grid-template-rows: auto minmax(0, 1fr);\n }\n\n .context-panel {\n max-height: 260px;\n border-right: 0;\n border-bottom: 1px solid #d6dde1;\n }\n\n .prompt-list {\n grid-template-columns: repeat(2, minmax(0, 1fr));\n }\n\n .messages {\n padding: 18px 12px;\n }\n\n .message {\n grid-template-columns: 32px minmax(0, 1fr);\n }\n\n .message.user {\n grid-template-columns: minmax(0, 1fr) 32px;\n }\n\n .avatar {\n width: 32px;\n height: 32px;\n }\n\n .composer-grid {\n grid-template-columns: 1fr;\n }\n\n .send-button {\n width: 100%;\n }\n}\n\n.tool-registry {\n margin-top: 18px;\n border-top: 1px solid rgba(127, 127, 127, 0.18);\n padding-top: 14px;\n}\n\n.tool-list {\n list-style: none;\n margin: 0;\n padding: 0;\n display: flex;\n flex-direction: column;\n gap: 8px;\n}\n\n.tool {\n border: 1px solid rgba(127, 127, 127, 0.2);\n border-radius: 8px;\n padding: 8px 10px;\n background: rgba(255, 255, 255, 0.02);\n}\n\n.tool-head {\n display: flex;\n align-items: center;\n justify-content: space-between;\n gap: 8px;\n}\n\n.tool-mode {\n font-size: 11px;\n text-transform: uppercase;\n letter-spacing: 0.04em;\n padding: 2px 6px;\n border-radius: 4px;\n background: rgba(120, 140, 255, 0.18);\n color: #4a5acc;\n}\n\n.tool-mode-agent .tool-mode {\n background: rgba(255, 170, 90, 0.18);\n color: #b66e1a;\n}\n\n.tool-desc {\n margin: 4px 0 0;\n font-size: 12px;\n opacity: 0.75;\n line-height: 1.4;\n}\n\n@media (max-width: 520px) {\n .prompt-list {\n grid-template-columns: 1fr;\n }\n\n .brand strong {\n font-size: 16px;\n }\n\n .mode-toggle {\n min-width: 84px;\n }\n\n .diagnostics-toggle,\n .report-button {\n max-width: 118px;\n overflow: hidden;\n text-overflow: ellipsis;\n white-space: nowrap;\n }\n}",
[2026-05-15T17:41:09.440Z] [INFO] "stderr": "",
[2026-05-15T17:41:09.440Z] [INFO] "interrupted": false,
[2026-05-15T17:41:09.440Z] [INFO] "isImage": false,
[2026-05-15T17:41:09.440Z] [INFO] "noOutputExpected": false
[2026-05-15T17:41:09.440Z] [INFO] }
[2026-05-15T17:41:09.440Z] [INFO] }
[2026-05-15T17:41:09.448Z] [INFO] [log_1864ed] sending request {
[2026-05-15T17:41:09.448Z] [INFO] method: "post",
[2026-05-15T17:41:09.448Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true",
[2026-05-15T17:41:09.448Z] [INFO] options: {
[2026-05-15T17:41:09.449Z] [INFO] method: "post",
[2026-05-15T17:41:09.449Z] [INFO] path: "/v1/messages?beta=true",
[2026-05-15T17:41:09.449Z] [INFO] body: {
[2026-05-15T17:41:09.449Z] [INFO] model: "claude-opus-4-7",
[2026-05-15T17:41:09.449Z] [INFO] messages: [
[2026-05-15T17:41:09.449Z] [INFO] [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...]
[2026-05-15T17:41:09.449Z] [INFO] ],
[2026-05-15T17:41:09.449Z] [INFO] system: [
[2026-05-15T17:41:09.450Z] [INFO] [Object ...], [Object ...], [Object ...], [Object ...]
[2026-05-15T17:41:09.450Z] [INFO] ],
[2026-05-15T17:41:09.450Z] [INFO] tools: [
[2026-05-15T17:41:09.450Z] [INFO] [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...]
[2026-05-15T17:41:09.450Z] [INFO] ],
[2026-05-15T17:41:09.450Z] [INFO] tool_choice: undefined,
[2026-05-15T17:41:09.450Z] [INFO] metadata: [Object ...],
[2026-05-15T17:41:09.450Z] [INFO] max_tokens: 128000,
[2026-05-15T17:41:09.450Z] [INFO] thinking: [Object ...],
[2026-05-15T17:41:09.451Z] [INFO] context_management: [Object ...],
[2026-05-15T17:41:09.451Z] [INFO] output_config: [Object ...],
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Every step in the universal solver loop appends an Event with a stable content-addressed id; the user-facing answer is, by construction, a projection of this log.\"\n source \"docs/NON-GOALS.md\"\n source_kind \"project-docs\"\n\nconcept_links_notation\n term \"Links Notation\"\n intent \"concept_lookup\"\n category \"data-format\"\n aliases \"links notation|lino|the links notation format\"\n summary \"Links Notation is an indentation-based, untyped serialization format used by the Deep Theory project to represent links and link networks as portable text.\"\n source \"https://github.com/linksplatform/Documentation\"\n source_kind \"project-docs\"\n\nconcept_doublet\n term \"doublet\"\n intent \"concept_lookup\"\n category \"data-structure\"\n aliases \"doublet link|a doublet|two-link\"\n summary \"A doublet is a link with exactly two endpoints. In Deep Theory it is the canonical reduction target for higher-arity links because every higher arity can be encoded as a chain of doublets.\"\n source \"docs/VISION.md\"\n source_kind \"project-docs\"\n\nconcept_wikipedia\n term \"Wikipedia\"\n intent \"concept_lookup\"\n category \"encyclopedia\"\n aliases \"wikipedia|the wikipedia|en.wikipedia|википедия|विकिपीडिया|维基百科|維基百科\"\n summary \"Wikipedia is a free, multilingual online encyclopedia written and maintained by a community of volunteer contributors through a model of open collaboration.\"\n source \"https://en.wikipedia.org/wiki/Wikipedia\"\n source_kind \"wikipedia\"\n\nconcept_wikidata\n term \"Wikidata\"\n intent \"concept_lookup\"\n category \"structured-knowledge\"\n aliases \"wikidata|the wikidata knowledge graph|викидата|विकिडेटा|维基数据|維基數據\"\n summary \"Wikidata is a collaboratively edited multilingual knowledge graph hosted by the Wikimedia Foundation. 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It is designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications.\"\n source \"https://en.wikipedia.org/wiki/WebAssembly\"\n source_kind \"wikipedia\"\n\nconcept_rust\n term \"Rust\"\n intent \"concept_lookup\"\n category \"programming-language\"\n aliases \"rust|rust programming language|the rust language|rust-lang|раст|язык раст|रस्ट|रस्ट प्रोग्रामिंग|rust 语言|rust语言|rust 程序设计语言\"\n summary \"Rust is a multi-paradigm, general-purpose programming language that emphasises performance, type safety, and concurrency. It enforces memory safety without using a garbage collector.\"\n source \"https://en.wikipedia.org/wiki/Rust_(programming_language)\"\n source_kind \"wikipedia\"\n\nconcept_iir_signal_processing\n term \"IIR\"\n intent \"concept_lookup\"\n category \"signal-processing\"\n wikidata \"Q740073\"\n aliases \"iir|iir filter|infinite impulse response|infinite-impulse-response|бесконечная импульсная характеристика|бих-фильтр|бих фильтр|आईआईआर|अनंत आवेग प्रतिक्रिया|无限脉冲响应|无限脉冲响应滤波器|無限脈衝響應\"\n contexts \"ml|machine learning|machine-learning|dsp|digital signal processing|signal processing|signal-processing|filtering|filter|audio|deep learning|neural network|нейронная сеть|обработка сигналов|цифровая обработка сигналов|сигнал|фильтр|фильтрация|машинное обучение|глубокое обучение|न्यूरल नेटवर्क|मशीन लर्निंग|गहन शिक्षण|डीएसपी|संकेत प्रसंस्करण|信号处理|信号|滤波|滤波器|机器学习|深度学习|神经网络|數位訊號處理|訊號處理|機器學習|深度學習|神經網路\"\n context_links \"context_machine_learning|context_signal_processing|context_neural_network\"\n summary \"An infinite impulse response (IIR) filter is a recursive digital filter whose impulse response continues indefinitely because the current output depends on past outputs as well as past inputs. 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Such filters can be either analog or digital, and the impulse-response feedback means the same shape can be approximated with far fewer coefficients than a finite impulse response (FIR) filter, at the cost of nonlinear phase and the need to verify stability.\"\n source \"https://en.wikipedia.org/wiki/Infinite_impulse_response\"\n source_kind \"wikipedia\"\n localized \"ru\"\n term \"Фильтр с бесконечной импульсной характеристикой\"",
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Every step in the universal solver loop appends an Event with a stable content-addressed id; the user-facing answer is, by construction, a projection of this log.\"\n source \"docs/NON-GOALS.md\"\n source_kind \"project-docs\"\n\nconcept_links_notation\n term \"Links Notation\"\n intent \"concept_lookup\"\n category \"data-format\"\n aliases \"links notation|lino|the links notation format\"\n summary \"Links Notation is an indentation-based, untyped serialization format used by the Deep Theory project to represent links and link networks as portable text.\"\n source \"https://github.com/linksplatform/Documentation\"\n source_kind \"project-docs\"\n\nconcept_doublet\n term \"doublet\"\n intent \"concept_lookup\"\n category \"data-structure\"\n aliases \"doublet link|a doublet|two-link\"\n summary \"A doublet is a link with exactly two endpoints. 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expect(page.locator('.brand')).toBeVisible();\n await expect(page.locator('.brand strong')).toContainText('formal-ai');\n });\n\n test('demo mode starts automatically and exposes a live countdown', async ({ page }) => {\n const demoToggle = page.locator('.mode-toggle');\n await expect(demoToggle).toBeVisible();\n await expect(demoToggle).toContainText('Demo on');\n\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await expect(input).toBeDisabled();\n\n const demoStatus = page.locator('[data-testid=\"demo-status\"]');\n await expect(demoStatus).toBeVisible();\n await expect(demoStatus).toContainText(/Demo playing|Next dialog in/);\n await expect(demoStatus).toContainText(/Next dialog in \\d+s/, { timeout: 15_000 });\n\n const firstCountdown = await demoStatus.textContent();\n await page.waitForTimeout(1200);\n await expect(demoStatus).not.toHaveText(firstCountdown || '');\n });\n\n test('automatic demo renders a chat exchange', async ({ page }) => {\n const messageList = page.locator('[data-testid=\"message-list\"]');\n await expect(messageList).toBeVisible();\n\n const messages = page.locator('[data-testid=\"chat-message\"]');\n await expect(messages.first()).toBeVisible({ timeout: 15_000 });\n\n await expect(page.locator('[data-testid=\"chat-message\"].user').first()).toBeVisible();\n await expect(page.locator('[data-testid=\"chat-message\"].assistant').first()).toBeVisible({\n timeout: 15_000,\n });\n });\n\n test('quick prompts sidebar is visible with expected prompts', async ({ page }) => {\n const promptList = page.locator('.prompt-list');\n await expect(promptList).toBeVisible();\n\n const buttons = promptList.locator('button');\n await expect(buttons.first()).toContainText('Hi');\n await expect(buttons.nth(1)).toContainText('Rust');\n });\n\n test('chat input and send button are present', async ({ page }) => {\n await switchToManualMode(page);\n\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await expect(input).toBeVisible();\n await expect(input).toBeEnabled();\n\n const sendBtn = page.locator('[data-testid=\"chat-composer-submit\"]');\n await expect(sendBtn).toBeVisible();\n });\n\n test('send button is disabled when input is empty', async ({ page }) => {\n await switchToManualMode(page);\n\n const sendBtn = page.locator('[data-testid=\"chat-composer-submit\"]');\n await expect(sendBtn).toBeDisabled();\n });\n\n test('clicking a quick prompt populates the input', async ({ page }) => {\n const hiButton = page.locator('.prompt-list button').first();\n await hiButton.click();\n\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await expect(input).toBeEnabled({ timeout: 5_000 });\n await expect(input).toHaveValue('Hi');\n });\n\n test('sending a greeting produces an assistant reply', async ({ page }) => {\n await switchToManualMode(page);\n\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await input.fill('Hello');\n\n const messages = page.locator('[data-testid=\"chat-message\"]');\n const initialCount = await messages.count();\n\n const sendBtn = page.locator('[data-testid=\"chat-composer-submit\"]');\n await sendBtn.click();\n\n // Wait for the assistant response to appear (worker or fallback)\n await expect(messages).toHaveCount(initialCount + 2, { timeout: 15_000 });\n\n const lastMsg = messages.last();\n await expect(lastMsg).toHaveClass(/assistant/);\n await expect(lastMsg).toContainText('Hi');\n });\n\n test('known assistant dialogs include a prefilled issue report link', async ({ page }) => {\n await switchToManualMode(page);\n\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await input.fill('Hello');\n\n const messages = page.locator('[data-testid=\"chat-message\"]');\n const initialCount = await messages.count();\n\n await page.locator('[data-testid=\"chat-composer-submit\"]').click();\n await expect(messages).toHaveCount(initialCount + 2, { timeout: 15_000 });\n\n const lastMsg = messages.last();\n await expect(lastMsg).toHaveClass(/assistant/);\n\n const reportLink = lastMsg.locator('.message-actions a');\n await expect(reportLink).toHaveText('Report issue');\n\n const href = await reportLink.getAttribute('href');\n expect(href).toBeTruthy();\n\n const url = new URL(href || '');\n const body = url.searchParams.get('body') || '';\n\n expect(`${url.origin}${url.pathname}`).toBe(\n 'https://github.com/link-assistant/formal-ai/issues/new',\n );\n expect(url.searchParams.get('labels')).toBe('bug');\n expect(body).toContain('## Environment');\n expect(body).toContain('## Dialog');\n expect(body).toContain('Hello');\n expect(body).toContain('Hi, how may I help you?');\n });\n\n test('asking who are you produces an identity response', async ({ page }) => {\n await switchToManualMode(page);\n\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await input.fill('Who are you?');\n\n const messages = page.locator('[data-testid=\"chat-message\"]');\n const initialCount = await messages.count();\n\n await page.locator('[data-testid=\"chat-composer-submit\"]').click();\n await expect(messages).toHaveCount(initialCount + 2, { timeout: 15_000 });\n\n const lastMsg = messages.last();\n await expect(lastMsg).toHaveClass(/assistant/);\n await expect(lastMsg).toContainText('formal-ai');\n await expect(lastMsg).not.toContainText('learned symbolic rule for that prompt yet');\n });\n\n test('unknown prompts include a prefilled missing-rule issue link', async ({ page }) => {\n await switchToManualMode(page);\n\n const prompt = 'What is the capital of France?';\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await input.fill(prompt);\n\n const messages = page.locator('[data-testid=\"chat-message\"]');\n const initialCount = await messages.count();\n\n await page.locator('[data-testid=\"chat-composer-submit\"]').click();\n await expect(messages).toHaveCount(initialCount + 2, { timeout: 15_000 });\n\n const lastMsg = messages.last();\n await expect(lastMsg).toHaveClass(/assistant/);\n await expect(lastMsg).toContainText('learned symbolic rule for that prompt yet');\n\n const reportLink = lastMsg.locator('.message-actions a');\n await expect(reportLink).toHaveText('Report missing rule');\n\n const href = await reportLink.getAttribute('href');\n expect(href).toBeTruthy();\n\n const url = new URL(href || '');\n const body = url.searchParams.get('body') || '';\n\n expect(url.searchParams.get('title')).toContain('Unknown prompt');\n expect(url.searchParams.get('labels')).toBe('bug');\n expect(body).toContain('## Environment');\n expect(body).toContain('**Version**');\n expect(body).toContain('**User Agent**');\ndemo.spec.js\nmultilingual.spec.js",
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[2026-05-15T17:41:53.872Z] [INFO] "stdout": "// @ts-check\nconst { test, expect } = require('@playwright/test');\n\nasync function switchToManualMode(page) {\n const demoToggle = page.locator('.mode-toggle');\n await expect(demoToggle).toContainText('Demo on');\n await demoToggle.click();\n await expect(demoToggle).toContainText('Demo');\n await expect(page.locator('[data-testid=\"demo-status\"]')).toHaveText('Manual mode');\n await expect(page.locator('[data-testid=\"chat-composer-input\"]')).toBeEnabled({\n timeout: 5_000,\n });\n}\n\ntest.describe('formal-ai demo UI', () => {\n test.beforeEach(async ({ page }) => {\n await page.goto('./');\n // Wait for React to mount and the app shell to be visible\n await expect(page.locator('.app')).toBeVisible({ timeout: 15_000 });\n });\n\n test('page title is formal-ai', async ({ page }) => {\n await expect(page).toHaveTitle('formal-ai');\n });\n\n test('brand header is visible', async ({ page }) => {\n await expect(page.locator('.brand')).toBeVisible();\n await expect(page.locator('.brand strong')).toContainText('formal-ai');\n });\n\n test('demo mode starts automatically and exposes a live countdown', async ({ page }) => {\n const demoToggle = page.locator('.mode-toggle');\n await expect(demoToggle).toBeVisible();\n await expect(demoToggle).toContainText('Demo on');\n\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await expect(input).toBeDisabled();\n\n const demoStatus = page.locator('[data-testid=\"demo-status\"]');\n await expect(demoStatus).toBeVisible();\n await expect(demoStatus).toContainText(/Demo playing|Next dialog in/);\n await expect(demoStatus).toContainText(/Next dialog in \\d+s/, { timeout: 15_000 });\n\n const firstCountdown = await demoStatus.textContent();\n await page.waitForTimeout(1200);\n await expect(demoStatus).not.toHaveText(firstCountdown || '');\n });\n\n test('automatic demo renders a chat exchange', async ({ page }) => {\n const messageList = page.locator('[data-testid=\"message-list\"]');\n await expect(messageList).toBeVisible();\n\n const messages = page.locator('[data-testid=\"chat-message\"]');\n await expect(messages.first()).toBeVisible({ timeout: 15_000 });\n\n await expect(page.locator('[data-testid=\"chat-message\"].user').first()).toBeVisible();\n await expect(page.locator('[data-testid=\"chat-message\"].assistant').first()).toBeVisible({\n timeout: 15_000,\n });\n });\n\n test('quick prompts sidebar is visible with expected prompts', async ({ page }) => {\n const promptList = page.locator('.prompt-list');\n await expect(promptList).toBeVisible();\n\n const buttons = promptList.locator('button');\n await expect(buttons.first()).toContainText('Hi');\n await expect(buttons.nth(1)).toContainText('Rust');\n });\n\n test('chat input and send button are present', async ({ page }) => {\n await switchToManualMode(page);\n\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await expect(input).toBeVisible();\n await expect(input).toBeEnabled();\n\n const sendBtn = page.locator('[data-testid=\"chat-composer-submit\"]');\n await expect(sendBtn).toBeVisible();\n });\n\n test('send button is disabled when input is empty', async ({ page }) => {\n await switchToManualMode(page);\n\n const sendBtn = page.locator('[data-testid=\"chat-composer-submit\"]');\n await expect(sendBtn).toBeDisabled();\n });\n\n test('clicking a quick prompt populates the input', async ({ page }) => {\n const hiButton = page.locator('.prompt-list button').first();\n await hiButton.click();\n\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await expect(input).toBeEnabled({ timeout: 5_000 });\n await expect(input).toHaveValue('Hi');\n });\n\n test('sending a greeting produces an assistant reply', async ({ page }) => {\n await switchToManualMode(page);\n\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await input.fill('Hello');\n\n const messages = page.locator('[data-testid=\"chat-message\"]');\n const initialCount = await messages.count();\n\n const sendBtn = page.locator('[data-testid=\"chat-composer-submit\"]');\n await sendBtn.click();\n\n // Wait for the assistant response to appear (worker or fallback)\n await expect(messages).toHaveCount(initialCount + 2, { timeout: 15_000 });\n\n const lastMsg = messages.last();\n await expect(lastMsg).toHaveClass(/assistant/);\n await expect(lastMsg).toContainText('Hi');\n });\n\n test('known assistant dialogs include a prefilled issue report link', async ({ page }) => {\n await switchToManualMode(page);\n\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await input.fill('Hello');\n\n const messages = page.locator('[data-testid=\"chat-message\"]');\n const initialCount = await messages.count();\n\n await page.locator('[data-testid=\"chat-composer-submit\"]').click();\n await expect(messages).toHaveCount(initialCount + 2, { timeout: 15_000 });\n\n const lastMsg 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[2026-05-15T17:41:56.000Z] [INFO] response 200 https://api.anthropic.com/v1/messages?beta=true Headers {
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[2026-05-15T17:41:57.691Z] [INFO] "content": [
[2026-05-15T17:41:57.691Z] [INFO] {
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[2026-05-15T17:41:57.691Z] [INFO] "content": "295\n// @ts-check\nconst { test, expect } = require('@playwright/test');\n\nasync function switchToManualMode(page) {\n const demoToggle = page.locator('.mode-toggle');\n await expect(demoToggle).toContainText('Demo on');\n await demoToggle.click();\n await expect(demoToggle).toContainText('Demo');\n await expect(page.locator('[data-testid=\"demo-status\"]')).toHaveText('Manual mode');\n await expect(page.locator('[data-testid=\"chat-composer-input\"]')).toBeEnabled({\n timeout: 5_000,\n });\n await expect(page.locator('[data-testid=\"tool-entry\"]').first()).toBeVisible({\n timeout: 10_000,\n });\n}\n\nasync function sendPrompt(page, text) {\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await expect(input).toBeEnabled({ timeout: 5_000 });\n await input.fill(text);\n const messages = page.locator('[data-testid=\"chat-message\"]');\n const initial = await messages.count();\n await page.locator('[data-testid=\"chat-composer-submit\"]').click();\n await expect(messages).toHaveCount(initial + 2, { timeout: 20_000 });\n return messages.last();\n}\n\ntest.describe('multilingual chat surface', () => {\n test.beforeEach(async ({ page }) => {\n await page.goto('./');\n await expect(page.locator('.app')).toBeVisible({ timeout: 15_000 });\n await switchToManualMode(page);\n });\n\n test('Russian greeting replies in Russian', async ({ page }) => {\n const last = await sendPrompt(page, 'Привет');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText(/Здравствуйте|Привет/);\n });\n\n test('Hindi greeting replies in Hindi', async ({ page }) => {\n const last = await sendPrompt(page, 'नमस्ते');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText('नमस्ते');\n });\n\n test('Chinese identity question replies in Chinese', async ({ page }) => {\n const last = await sendPrompt(page, '你是谁?');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText('formal-ai');\n await expect(last).toContainText(/符号|确定性/);\n });\n\n test('Russian \"What is X?\" returns the offline concept summary', async ({ page }) => {\n const last = await sendPrompt(page, 'Что такое Википедия?');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText(/Wikipedia|encyclopedia/i);\n });\n\n test('Chinese \"X 是什么?\" returns the offline concept summary', async ({ page }) => {\n const last = await sendPrompt(page, '维基百科是什么?');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText(/Wikipedia|encyclopedia/i);\n });\n});\n\ntest.describe('Wikipedia REST fallback', () => {\n test.beforeEach(async ({ page }) => {\n await page.goto('./');\n await expect(page.locator('.app')).toBeVisible({ timeout: 15_000 });\n await switchToManualMode(page);\n });\n\n test('\"What is X?\" for an out-of-corpus term fetches a Wikipedia summary', async ({ page }) => {\n // Stub the Wikipedia REST endpoint so the test is hermetic and does not depend\n // on external network availability or rate limiting.\n await page.route('**/api/rest_v1/page/summary/**', async (route) => {\n const json = {\n title: 'Albert Einstein',\n extract: 'Albert Einstein was a German-born theoretical physicist...',\n type: 'standard',\n content_urls: {\n desktop: { page: 'https://en.wikipedia.org/wiki/Albert_Einstein' },\n },\n };\n await route.fulfill({\n status: 200,\n contentType: 'application/json',\n body: JSON.stringify(json),\n });\n });\n\n const last = await sendPrompt(page, 'What is Albert Einstein?');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText('Albert Einstein');\n await expect(last).toContainText('theoretical physicist');\n await expect(last).toContainText('en.wikipedia.org');\n });",
[2026-05-15T17:41:57.691Z] [INFO] "is_error": false
[2026-05-15T17:41:57.691Z] [INFO] }
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[2026-05-15T17:41:57.691Z] [INFO] "tool_use_result": {
[2026-05-15T17:41:57.691Z] [INFO] "stdout": "295\n// @ts-check\nconst { test, expect } = require('@playwright/test');\n\nasync function switchToManualMode(page) {\n const demoToggle = page.locator('.mode-toggle');\n await expect(demoToggle).toContainText('Demo on');\n await demoToggle.click();\n await expect(demoToggle).toContainText('Demo');\n await expect(page.locator('[data-testid=\"demo-status\"]')).toHaveText('Manual mode');\n await expect(page.locator('[data-testid=\"chat-composer-input\"]')).toBeEnabled({\n timeout: 5_000,\n });\n await expect(page.locator('[data-testid=\"tool-entry\"]').first()).toBeVisible({\n timeout: 10_000,\n });\n}\n\nasync function sendPrompt(page, text) {\n const input = page.locator('[data-testid=\"chat-composer-input\"]');\n await expect(input).toBeEnabled({ timeout: 5_000 });\n await input.fill(text);\n const messages = page.locator('[data-testid=\"chat-message\"]');\n const initial = await messages.count();\n await page.locator('[data-testid=\"chat-composer-submit\"]').click();\n await expect(messages).toHaveCount(initial + 2, { timeout: 20_000 });\n return messages.last();\n}\n\ntest.describe('multilingual chat surface', () => {\n test.beforeEach(async ({ page }) => {\n await page.goto('./');\n await expect(page.locator('.app')).toBeVisible({ timeout: 15_000 });\n await switchToManualMode(page);\n });\n\n test('Russian greeting replies in Russian', async ({ page }) => {\n const last = await sendPrompt(page, 'Привет');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText(/Здравствуйте|Привет/);\n });\n\n test('Hindi greeting replies in Hindi', async ({ page }) => {\n const last = await sendPrompt(page, 'नमस्ते');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText('नमस्ते');\n });\n\n test('Chinese identity question replies in Chinese', async ({ page }) => {\n const last = await sendPrompt(page, '你是谁?');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText('formal-ai');\n await expect(last).toContainText(/符号|确定性/);\n });\n\n test('Russian \"What is X?\" returns the offline concept summary', async ({ page }) => {\n const last = await sendPrompt(page, 'Что такое Википедия?');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText(/Wikipedia|encyclopedia/i);\n });\n\n test('Chinese \"X 是什么?\" returns the offline concept summary', async ({ page }) => {\n const last = await sendPrompt(page, '维基百科是什么?');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText(/Wikipedia|encyclopedia/i);\n });\n});\n\ntest.describe('Wikipedia REST fallback', () => {\n test.beforeEach(async ({ page }) => {\n await page.goto('./');\n await expect(page.locator('.app')).toBeVisible({ timeout: 15_000 });\n await switchToManualMode(page);\n });\n\n test('\"What is X?\" for an out-of-corpus term fetches a Wikipedia summary', async ({ page }) => {\n // Stub the Wikipedia REST endpoint so the test is hermetic and does not depend\n // on external network availability or rate limiting.\n await page.route('**/api/rest_v1/page/summary/**', async (route) => {\n const json = {\n title: 'Albert Einstein',\n extract: 'Albert Einstein was a German-born theoretical physicist...',\n type: 'standard',\n content_urls: {\n desktop: { page: 'https://en.wikipedia.org/wiki/Albert_Einstein' },\n },\n };\n await route.fulfill({\n status: 200,\n contentType: 'application/json',\n body: JSON.stringify(json),\n });\n });\n\n const last = await sendPrompt(page, 'What is Albert Einstein?');\n await expect(last).toHaveClass(/assistant/);\n await expect(last).toContainText('Albert Einstein');\n await expect(last).toContainText('theoretical physicist');\n await expect(last).toContainText('en.wikipedia.org');\n });",
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[2026-05-15T17:42:04.181Z] [INFO] "traceresponse": "00-4c5be8b3f471c37b6a81b1c6ab971002-dc0a1e2612d32e55-01",
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[2026-05-15T17:42:04.182Z] [INFO] "cf-ray": "9fc3efd6d807a0af-FRA",
[2026-05-15T17:42:04.182Z] [INFO] } ReadableStream {
[2026-05-15T17:42:04.182Z] [INFO] blob: [Function: blob],
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[2026-05-15T17:42:05.347Z] [INFO] {
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[2026-05-15T17:42:05.347Z] [INFO] "content": "// Shared Links Notation seed loader for the demo.\n//\n// The browser demo loads its multilingual response phrases, concept summaries,\n// tool registry, language-detection rules, prompt patterns, and agent metadata\n// from `src/web/seed/*.lino` instead of hardcoded JavaScript constants. Every\n// prompt-handling decision is therefore data-driven: a user who wants to\n// retune their own agent can edit a `.lino` file and ship it alongside the\n// static site without touching the worker code.\n//\n// `src/web/seed/` is a deploy artefact synchronised from `data/seed/` (the\n// canonical source shared with the Rust solver, CLI, Telegram bot, and HTTP\n// server). Run `scripts/sync-seed.sh` to refresh the copy.\n//\n// The loader is intentionally minimal: indentation-based, untyped, and shared\n// between the main thread (`window.FormalAiSeed`) and the worker\n// (`self.FormalAiSeed`) without any bundler step.\n\n(function (global) {\n \"use strict\";\n\n var DEFAULT_FILES = [\n \"seed/agent-info.lino\",\n \"seed/multilingual-responses.lino\",\n \"seed/concepts.lino\",\n \"seed/concept-contexts.lino\",\n \"seed/tools.lino\",\n \"seed/language-detection.lino\",\n \"seed/prompt-patterns.lino\",\n \"seed/intent-routing.lino\",\n \"seed/greetings.lino\",\n \"seed/identity.lino\",\n \"seed/hello-world-programs.lino\",\n \"seed/demo-dialogs.lino\",\n \"seed/environments.lino\",\n ];\n\n function isWorker() {\n return (\n typeof global.WorkerGlobalScope !== \"undefined\" &&\n global instanceof global.WorkerGlobalScope\n );\n }\n\n function assetVersion() {\n if (typeof global.FORMAL_AI_ASSET_VERSION === \"string\") {\n return global.FORMAL_AI_ASSET_VERSION;\n }\n try {\n var search = global.location && global.location.search;\n var match = search && /[?&]v=([^&]+)/.exec(search);\n return match ? decodeURIComponent(match[1].replace(/\\+/g, \" \")) : \"\";\n } catch (_error) {\n return \"\";\n }\n }\n\n function withAssetVersion(url) {\n var version = assetVersion();\n if (!version) return url;\n if (\n url.indexOf(\"://\") !== -1 ||\n url.indexOf(\"//\") === 0 ||\n url.indexOf(\"data:\") === 0\n ) {\n return url;\n }\n return (\n url +\n (url.indexOf(\"?\") === -1 ? \"?\" : \"&\") +\n \"v=\" +\n encodeURIComponent(version)\n );\n }\n\n function unescapeValue(value) {\n return String(value || \"\")\n .replace(/\\\\n/g, \"\\n\")\n .replace(/\\\\\"/g, '\"')\n .replace(/\\\\\\\\/g, \"\\\\\");\n }\n\n // Parse an indented Links Notation document into a nested structure:\n //\n // root_node\n // child \"name\"\n // key \"value\"\n //\n // -> { name: \"root_node\", children: [ { name: \"child\", id: \"name\",\n // children: [ { name: \"key\", id: \"value\", children: [] } ] } ] }\n function parseLino(text) {\n var lines = String(text || \"\").split(/\\r?\\n/);\n var root = { name: \"\", id: \"\", value: \"\", children: [], indent: -1 };\n var stack = [root];\n for (var i = 0; i < lines.length; i += 1) {\n var line = lines[i];\n if (!line || /^\\s*$/.test(line)) continue;\n var indentMatch = /^(\\s*)/.exec(line);\n var indent = indentMatch ? indentMatch[1].length : 0;\n var content = line.slice(indent);\n // Walk back up to find the parent for this indent.\n while (stack.length > 1 && stack[stack.length - 1].indent >= indent) {\n stack.pop();\n }\n var parent = stack[stack.length - 1];\n var node = parseLinoLine(content, indent);\n parent.children.push(node);\n stack.push(node);\n }\n return root.children.length === 1 ? root.children[0] : root;\n }\n\n function parseLinoLine(content, indent) {\n var node = {\n name: \"\",\n id: \"\",\n value: \"\",\n children: [],\n indent: indent,\n };\n var first = content.indexOf(' \"');\n if (first === -1) {\n node.name = content.trim();\n return node;\n }\n node.name = content.slice(0, first).trim();\n var rest = content.slice(first + 1).trim();\n if (rest.length === 0 || rest[0] !== '\"') return node;\n var closing = -1;\n for (var i = 1; i < rest.length; i += 1) {\n if (rest[i] === \"\\\\\") {\n i += 1;\n continue;\n }\n if (rest[i] === '\"') {\n closing = i;\n break;\n }\n }\n if (closing === -1) return node;\n node.id = unescapeValue(rest.slice(1, closing));\n node.value = node.id;\n return node;\n }\n\n function findChildren(node, name) {\n if (!node || !Array.isArray(node.children)) return [];\n return node.children.filter(function (child) {\n return child.name === name;\n });\n }\n\n function findChildValue(node, name) {\n var match = findChildren(node, name)[0];\n return match ? match.id : \"\";\n }\n\n function extractMultilingualResponses(node) {\n var responses = {};\n if (!node) return responses;\n var entries = findChildren(node, \"response\");\n for (var i = 0; i < entries.length; i += 1) {\n var entry = entries[i];\n var intent = findChildValue(entry, \"intent\");\n var language = findChildValue(entry, \"language\");\n var text = findChildValue(entry, \"text\");\n if (!intent || !language || !text) continue;\n if (!responses[intent]) responses[intent] = {};\n responses[intent][language] = text;\n }\n return responses;\n }\n\n function extractConcepts(root) {\n if (!root || !Array.isArray(root.children)) return [];\n // Concept files are flat — each top-level child is one record.\n var concepts = [];\n var iterate = function (item) {\n if (!item || !item.name) return;\n if (!item.name.startsWith(\"concept_\")) return;\n var aliases = findChildValue(item, \"aliases\");\n var contexts = findChildValue(item, \"contexts\");\n var contextLinks = findChildValue(item, \"context_links\");\n var localized = findChildren(item, \"localized\").map(function (loc) {\n var locAliases = findChildValue(loc, \"aliases\");\n return {\n language: loc.id,\n term: findChildValue(loc, \"term\"),\n aliases: locAliases ? 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[2026-05-15T17:42:05.347Z] [INFO] "tool_use_result": {
[2026-05-15T17:42:05.347Z] [INFO] "stdout": "// Shared Links Notation seed loader for the demo.\n//\n// The browser demo loads its multilingual response phrases, concept summaries,\n// tool registry, language-detection rules, prompt patterns, and agent metadata\n// from `src/web/seed/*.lino` instead of hardcoded JavaScript constants. Every\n// prompt-handling decision is therefore data-driven: a user who wants to\n// retune their own agent can edit a `.lino` file and ship it alongside the\n// static site without touching the worker code.\n//\n// `src/web/seed/` is a deploy artefact synchronised from `data/seed/` (the\n// canonical source shared with the Rust solver, CLI, Telegram bot, and HTTP\n// server). Run `scripts/sync-seed.sh` to refresh the copy.\n//\n// The loader is intentionally minimal: indentation-based, untyped, and shared\n// between the main thread (`window.FormalAiSeed`) and the worker\n// (`self.FormalAiSeed`) without any bundler step.\n\n(function (global) {\n \"use strict\";\n\n var DEFAULT_FILES = [\n \"seed/agent-info.lino\",\n \"seed/multilingual-responses.lino\",\n \"seed/concepts.lino\",\n \"seed/concept-contexts.lino\",\n \"seed/tools.lino\",\n \"seed/language-detection.lino\",\n \"seed/prompt-patterns.lino\",\n \"seed/intent-routing.lino\",\n \"seed/greetings.lino\",\n \"seed/identity.lino\",\n \"seed/hello-world-programs.lino\",\n \"seed/demo-dialogs.lino\",\n \"seed/environments.lino\",\n ];\n\n function isWorker() {\n return (\n typeof global.WorkerGlobalScope !== \"undefined\" &&\n global instanceof global.WorkerGlobalScope\n );\n }\n\n function assetVersion() {\n if (typeof global.FORMAL_AI_ASSET_VERSION === \"string\") {\n return global.FORMAL_AI_ASSET_VERSION;\n }\n try {\n var search = global.location && global.location.search;\n var match = search && /[?&]v=([^&]+)/.exec(search);\n return match ? decodeURIComponent(match[1].replace(/\\+/g, \" \")) : \"\";\n } catch (_error) {\n return \"\";\n }\n }\n\n function withAssetVersion(url) {\n var version = assetVersion();\n if (!version) return url;\n if (\n url.indexOf(\"://\") !== -1 ||\n url.indexOf(\"//\") === 0 ||\n url.indexOf(\"data:\") === 0\n ) {\n return url;\n }\n return (\n url +\n (url.indexOf(\"?\") === -1 ? \"?\" : \"&\") +\n \"v=\" +\n encodeURIComponent(version)\n );\n }\n\n function unescapeValue(value) {\n return String(value || \"\")\n .replace(/\\\\n/g, \"\\n\")\n .replace(/\\\\\"/g, '\"')\n .replace(/\\\\\\\\/g, \"\\\\\");\n }\n\n // Parse an indented Links Notation document into a nested structure:\n //\n // root_node\n // child \"name\"\n // key \"value\"\n //\n // -> { name: \"root_node\", children: [ { name: \"child\", id: \"name\",\n // children: [ { name: \"key\", id: \"value\", children: [] } ] } ] }\n function parseLino(text) {\n var lines = String(text || \"\").split(/\\r?\\n/);\n var root = { name: \"\", id: \"\", value: \"\", children: [], indent: -1 };\n var stack = [root];\n for (var i = 0; i < lines.length; i += 1) {\n var line = lines[i];\n if (!line || /^\\s*$/.test(line)) continue;\n var indentMatch = /^(\\s*)/.exec(line);\n var indent = indentMatch ? indentMatch[1].length : 0;\n var content = line.slice(indent);\n // Walk back up to find the parent for this indent.\n while (stack.length > 1 && stack[stack.length - 1].indent >= indent) {\n stack.pop();\n }\n var parent = stack[stack.length - 1];\n var node = parseLinoLine(content, indent);\n parent.children.push(node);\n stack.push(node);\n }\n return root.children.length === 1 ? root.children[0] : root;\n }\n\n function parseLinoLine(content, indent) {\n var node = {\n name: \"\",\n id: \"\",\n value: \"\",\n children: [],\n indent: indent,\n };\n var first = content.indexOf(' \"');\n if (first === -1) {\n node.name = content.trim();\n return node;\n }\n node.name = content.slice(0, first).trim();\n var rest = content.slice(first + 1).trim();\n if (rest.length === 0 || rest[0] !== '\"') return node;\n var closing = -1;\n for (var i = 1; i < rest.length; i += 1) {\n if (rest[i] === \"\\\\\") {\n i += 1;\n continue;\n }\n if (rest[i] === '\"') {\n closing = i;\n break;\n }\n }\n if (closing === -1) return node;\n node.id = unescapeValue(rest.slice(1, closing));\n node.value = node.id;\n return node;\n }\n\n function findChildren(node, name) {\n if (!node || !Array.isArray(node.children)) return [];\n return node.children.filter(function (child) {\n return child.name === name;\n });\n }\n\n function findChildValue(node, name) {\n var match = findChildren(node, name)[0];\n return match ? match.id : \"\";\n }\n\n function extractMultilingualResponses(node) {\n var responses = {};\n if (!node) return responses;\n var entries = findChildren(node, \"response\");\n for (var i = 0; i < entries.length; i += 1) {\n var entry = entries[i];\n var intent = findChildValue(entry, \"intent\");\n var language = findChildValue(entry, \"language\");\n var text = findChildValue(entry, \"text\");\n if (!intent || !language || !text) continue;\n if (!responses[intent]) responses[intent] = {};\n responses[intent][language] = text;\n }\n return responses;\n }\n\n function extractConcepts(root) {\n if (!root || !Array.isArray(root.children)) return [];\n // Concept files are flat — each top-level child is one record.\n var concepts = [];\n var iterate = function (item) {\n if (!item || !item.name) return;\n if (!item.name.startsWith(\"concept_\")) return;\n var aliases = findChildValue(item, \"aliases\");\n var contexts = findChildValue(item, \"contexts\");\n var contextLinks = findChildValue(item, \"context_links\");\n var localized = findChildren(item, \"localized\").map(function (loc) {\n var locAliases = findChildValue(loc, \"aliases\");\n return {\n language: loc.id,\n term: findChildValue(loc, \"term\"),\n aliases: locAliases ? locAliases.split(\"|\").map(trim).filter(Boolean) : [],\n summary: findChildValue(loc, \"summary\"),\n source: findChildValue(loc, \"source\"),\n sourceKind: findChildValue(loc, \"source_kind\"),\n };\n });\n concepts.push({\n slug: item.name,\n term: findChildValue(item, \"term\"),\n category: findChildValue(item, \"category\") || \"concept\",\n summary: findChildValue(item, \"summary\"),\n source: findChildValue(item, \"source\"),\n sourceKind: findChildValue(item, \"source_kind\") || \"project-docs\",",
[2026-05-15T17:42:05.347Z] [INFO] "stderr": "",
[2026-05-15T17:42:05.347Z] [INFO] "interrupted": false,
[2026-05-15T17:42:05.347Z] [INFO] "isImage": false,
[2026-05-15T17:42:05.347Z] [INFO] "noOutputExpected": false
[2026-05-15T17:42:05.347Z] [INFO] }
[2026-05-15T17:42:05.347Z] [INFO] }
[2026-05-15T17:42:05.354Z] [INFO] [log_cc0282] sending request {
[2026-05-15T17:42:05.354Z] [INFO] method: "post",
[2026-05-15T17:42:05.355Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true",
[2026-05-15T17:42:05.355Z] [INFO] options: {
[2026-05-15T17:42:05.355Z] [INFO] method: "post",
[2026-05-15T17:42:05.355Z] [INFO] path: "/v1/messages?beta=true",
[2026-05-15T17:42:05.356Z] [INFO] body: {
[2026-05-15T17:42:05.356Z] [INFO] model: "claude-opus-4-7",
[2026-05-15T17:42:05.356Z] [INFO] messages: [
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[2026-05-15T17:42:05.356Z] [INFO] ],
[2026-05-15T17:42:05.356Z] [INFO] system: [
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[2026-05-15T17:42:05.357Z] [INFO] tool_choice: undefined,
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[2026-05-15T17:42:14.123Z] [INFO] }
[2026-05-15T17:42:14.123Z] [INFO] [log_9052b6] response parsed {
[2026-05-15T17:42:14.124Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true",
[2026-05-15T17:42:14.124Z] [INFO] status: 200,
[2026-05-15T17:42:14.124Z] [INFO] body: _h {
[2026-05-15T17:42:14.124Z] [INFO] iterator: [AsyncGeneratorFunction: A],
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[2026-05-15T17:42:14.124Z] [INFO] signal: [AbortSignal ...],
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[2026-05-15T17:42:14.126Z] [INFO] },
[2026-05-15T17:42:14.126Z] [INFO] durationMs: 1976,
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[2026-05-15T17:42:14.709Z] [INFO] {
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[2026-05-15T17:42:14.709Z] [INFO] "message": {
[2026-05-15T17:42:14.709Z] [INFO] "model": "claude-opus-4-7",
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[2026-05-15T17:42:14.709Z] [INFO] "type": "message",
[2026-05-15T17:42:14.709Z] [INFO] "role": "assistant",
[2026-05-15T17:42:14.709Z] [INFO] "content": [
[2026-05-15T17:42:14.709Z] [INFO] {
[2026-05-15T17:42:14.709Z] [INFO] "type": "tool_use",
[2026-05-15T17:42:14.709Z] [INFO] "id": "toolu_01My1zs45XUiKNQAQUzqhc2o",
[2026-05-15T17:42:14.709Z] [INFO] "name": "Bash",
[2026-05-15T17:42:14.709Z] [INFO] "input": {
[2026-05-15T17:42:14.709Z] [INFO] "command": "cat src/web/formal_ai_worker.js | head -100",
[2026-05-15T17:42:14.709Z] [INFO] "description": "View worker header"
[2026-05-15T17:42:14.709Z] [INFO] },
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[2026-05-15T17:42:14.709Z] [INFO] "service_tier": "standard",
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[2026-05-15T17:42:14.709Z] [INFO] },
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[2026-05-15T17:42:14.709Z] [INFO] "parent_tool_use_id": null,
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[2026-05-15T17:42:14.709Z] [INFO] }
[2026-05-15T17:42:15.331Z] [INFO] {
[2026-05-15T17:42:15.331Z] [INFO] "type": "user",
[2026-05-15T17:42:15.331Z] [INFO] "message": {
[2026-05-15T17:42:15.331Z] [INFO] "role": "user",
[2026-05-15T17:42:15.331Z] [INFO] "content": [
[2026-05-15T17:42:15.331Z] [INFO] {
[2026-05-15T17:42:15.331Z] [INFO] "tool_use_id": "toolu_01My1zs45XUiKNQAQUzqhc2o",
[2026-05-15T17:42:15.331Z] [INFO] "type": "tool_result",
[2026-05-15T17:42:15.331Z] [INFO] "content": "// Universal solver implementation for the demo worker.\n//\n// Every reasoning path here mirrors the Rust `FormalAiEngine` in\n// `src/solver.rs` so the website, CLI, Telegram bot, library, and HTTP server\n// all produce the same answers for the same prompts. The answer the user\n// sees is always a projection of an append-only event log — there is no\n// hardcoded prompt→answer table.\n//\n// All multilingual phrases, concept summaries, and the tool registry are\n// loaded from `seed/*.lino` files at startup via `seed_loader.js`. Editing a\n// `.lino` file is enough to retune the agent — no JavaScript change required.\n\nfunction currentAssetVersion() {\n try {\n const search = self.location && self.location.search;\n const match = search && /[?&]v=([^&]+)/.exec(search);\n return match ? decodeURIComponent(match[1].replace(/\\+/g, \" \")) : \"\";\n } catch (_error) {\n return \"\";\n }\n}\n\nfunction withAssetVersion(url) {\n const version = currentAssetVersion();\n if (!version) return url;\n return `${url}${url.includes(\"?\") ? \"&\" : \"?\"}v=${encodeURIComponent(\n version,\n )}`;\n}\n\ntry {\n importScripts(withAssetVersion(\"seed_loader.js\"));\n} catch (_error) {\n // Seed loader is optional: tests that mock the worker may exclude it.\n}\n\nlet wasm;\nlet mode = \"wasm worker\";\n\n// Hard-coded fallbacks. These are only used if `seed/*.lino` fails to load,\n// e.g. when the worker runs from a `file://` URL. The shipped GitHub Pages\n// build always fetches the seed successfully.\nconst FALLBACK_IDENTITY_ANSWER =\n \"I am formal-ai, a deterministic symbolic AI proof of concept that answers from local Links Notation rules and OpenAI-compatible API shapes. I do not perform neural inference in this demo.\";\n\nconst FALLBACK_GREETING_ANSWER = \"Hi, how may I help you?\";\n\nconst FALLBACK_UNKNOWN_ANSWER =\n \"I do not have a learned symbolic rule for that prompt yet. Add a Links Notation fact or rule, then run the request again.\";\n\n// Mutable runtime tables — populated from seed at init().\nlet MULTILINGUAL_ANSWERS = {\n greeting: { en: FALLBACK_GREETING_ANSWER },\n identity: { en: FALLBACK_IDENTITY_ANSWER },\n unknown: { en: FALLBACK_UNKNOWN_ANSWER },\n};\nlet CONCEPTS = [];\nlet CONCEPT_CONTEXTS = [];\nlet TOOLS = [];\nlet SEED_RAW = {};\nlet AGENT_INFO = {};\nlet LANGUAGE_RULES = [\n { language: \"ru\", start: 0x0400, end: 0x04ff },\n { language: \"hi\", start: 0x0900, end: 0x097f },\n { language: \"zh\", start: 0x4e00, end: 0x9fff },\n];\nlet PROMPT_PATTERNS = [];\n// Intent routing rules loaded from `seed/intent-routing.lino` at init time.\n// `intents` mirror `seed::IntentRoute` from the Rust crate, so the browser\n// and the Rust solver behave identically when classifying prompts. The\n// fallback below mirrors the contents of `data/seed/intent-routing.lino`\n// so the worker remains functional even when the `.lino` fetch fails (for\n// example when the demo is opened from `file://`).\nlet INTENT_ROUTING = {\n intents: [\n {\n id: \"intent_greeting\",\n slug: \"greeting\",\n responseLink: \"response:greeting\",\n keywords: [\"hi\", \"hello\", \"hey\", \"привет\", \"здравствуйте\", \"नमस्ते\", \"你好\", \"您好\"],\n phrases: [],\n tokens: [\"greet\"],\n combos: [],\n },\n {\n id: \"intent_identity\",\n slug: \"identity\",\n responseLink: \"response:identity\",\n keywords: [],\n phrases: [\n \"who are you\",\n \"what are you\",\n \"who is formal ai\",\n \"what is formal ai\",\n \"who is formalai\",\n \"what is formalai\",\n \"tell me about yourself\",\n \"introduce yourself\",\n \"кто ты\",\n \"что ты\",",
[2026-05-15T17:42:15.331Z] [INFO] "is_error": false
[2026-05-15T17:42:15.331Z] [INFO] }
[2026-05-15T17:42:15.331Z] [INFO] ]
[2026-05-15T17:42:15.331Z] [INFO] },
[2026-05-15T17:42:15.331Z] [INFO] "parent_tool_use_id": null,
[2026-05-15T17:42:15.331Z] [INFO] "session_id": "8f33cb23-e6be-484f-b0cb-5fe27c692d2a",
[2026-05-15T17:42:15.331Z] [INFO] "uuid": "879b028b-d9ca-415e-9a41-1cba5d547513",
[2026-05-15T17:42:15.331Z] [INFO] "timestamp": "2026-05-15T17:42:15.329Z",
[2026-05-15T17:42:15.331Z] [INFO] "tool_use_result": {
[2026-05-15T17:42:15.331Z] [INFO] "stdout": "// Universal solver implementation for the demo worker.\n//\n// Every reasoning path here mirrors the Rust `FormalAiEngine` in\n// `src/solver.rs` so the website, CLI, Telegram bot, library, and HTTP server\n// all produce the same answers for the same prompts. The answer the user\n// sees is always a projection of an append-only event log — there is no\n// hardcoded prompt→answer table.\n//\n// All multilingual phrases, concept summaries, and the tool registry are\n// loaded from `seed/*.lino` files at startup via `seed_loader.js`. Editing a\n// `.lino` file is enough to retune the agent — no JavaScript change required.\n\nfunction currentAssetVersion() {\n try {\n const search = self.location && self.location.search;\n const match = search && /[?&]v=([^&]+)/.exec(search);\n return match ? decodeURIComponent(match[1].replace(/\\+/g, \" \")) : \"\";\n } catch (_error) {\n return \"\";\n }\n}\n\nfunction withAssetVersion(url) {\n const version = currentAssetVersion();\n if (!version) return url;\n return `${url}${url.includes(\"?\") ? \"&\" : \"?\"}v=${encodeURIComponent(\n version,\n )}`;\n}\n\ntry {\n importScripts(withAssetVersion(\"seed_loader.js\"));\n} catch (_error) {\n // Seed loader is optional: tests that mock the worker may exclude it.\n}\n\nlet wasm;\nlet mode = \"wasm worker\";\n\n// Hard-coded fallbacks. These are only used if `seed/*.lino` fails to load,\n// e.g. when the worker runs from a `file://` URL. The shipped GitHub Pages\n// build always fetches the seed successfully.\nconst FALLBACK_IDENTITY_ANSWER =\n \"I am formal-ai, a deterministic symbolic AI proof of concept that answers from local Links Notation rules and OpenAI-compatible API shapes. I do not perform neural inference in this demo.\";\n\nconst FALLBACK_GREETING_ANSWER = \"Hi, how may I help you?\";\n\nconst FALLBACK_UNKNOWN_ANSWER =\n \"I do not have a learned symbolic rule for that prompt yet. Add a Links Notation fact or rule, then run the request again.\";\n\n// Mutable runtime tables — populated from seed at init().\nlet MULTILINGUAL_ANSWERS = {\n greeting: { en: FALLBACK_GREETING_ANSWER },\n identity: { en: FALLBACK_IDENTITY_ANSWER },\n unknown: { en: FALLBACK_UNKNOWN_ANSWER },\n};\nlet CONCEPTS = [];\nlet CONCEPT_CONTEXTS = [];\nlet TOOLS = [];\nlet SEED_RAW = {};\nlet AGENT_INFO = {};\nlet LANGUAGE_RULES = [\n { language: \"ru\", start: 0x0400, end: 0x04ff },\n { language: \"hi\", start: 0x0900, end: 0x097f },\n { language: \"zh\", start: 0x4e00, end: 0x9fff },\n];\nlet PROMPT_PATTERNS = [];\n// Intent routing rules loaded from `seed/intent-routing.lino` at init time.\n// `intents` mirror `seed::IntentRoute` from the Rust crate, so the browser\n// and the Rust solver behave identically when classifying prompts. The\n// fallback below mirrors the contents of `data/seed/intent-routing.lino`\n// so the worker remains functional even when the `.lino` fetch fails (for\n// example when the demo is opened from `file://`).\nlet INTENT_ROUTING = {\n intents: [\n {\n id: \"intent_greeting\",\n slug: \"greeting\",\n responseLink: \"response:greeting\",\n keywords: [\"hi\", \"hello\", \"hey\", \"привет\", \"здравствуйте\", \"नमस्ते\", \"你好\", \"您好\"],\n phrases: [],\n tokens: [\"greet\"],\n combos: [],\n },\n {\n id: \"intent_identity\",\n slug: \"identity\",\n responseLink: \"response:identity\",\n keywords: [],\n phrases: [\n \"who are you\",\n \"what are you\",\n \"who is formal ai\",\n \"what is formal ai\",\n \"who is formalai\",\n \"what is formalai\",\n \"tell me about yourself\",\n \"introduce yourself\",\n \"кто ты\",\n \"что ты\",",
[2026-05-15T17:42:15.331Z] [INFO] "stderr": "",
[2026-05-15T17:42:15.331Z] [INFO] "interrupted": false,
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[2026-05-15T17:42:15.331Z] [INFO] "noOutputExpected": false
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[2026-05-15T17:42:15.331Z] [INFO] }
[2026-05-15T17:42:15.339Z] [INFO] [log_372400] sending request {
[2026-05-15T17:42:15.339Z] [INFO] method: "post",
[2026-05-15T17:42:15.340Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true",
[2026-05-15T17:42:15.340Z] [INFO] options: {
[2026-05-15T17:42:15.340Z] [INFO] method: "post",
[2026-05-15T17:42:15.340Z] [INFO] path: "/v1/messages?beta=true",
[2026-05-15T17:42:15.340Z] [INFO] body: {
[2026-05-15T17:42:15.341Z] [INFO] model: "claude-opus-4-7",
[2026-05-15T17:42:15.341Z] [INFO] messages: [
[2026-05-15T17:42:15.341Z] [INFO] [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...], [Object ...]
[2026-05-15T17:42:15.341Z] [INFO] ],
[2026-05-15T17:42:15.341Z] [INFO] system: [
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[2026-05-15T17:42:15.342Z] [INFO] ],
[2026-05-15T17:42:15.342Z] [INFO] tools: [
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[2026-05-15T17:42:15.342Z] [INFO] ],
[2026-05-15T17:42:15.342Z] [INFO] tool_choice: undefined,
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[2026-05-15T17:42:15.343Z] [INFO] max_tokens: 128000,
[2026-05-15T17:42:15.343Z] [INFO] thinking: [Object ...],
[2026-05-15T17:42:15.344Z] [INFO] context_management: [Object ...],
[2026-05-15T17:42:15.344Z] [INFO] output_config: [Object ...],
[2026-05-15T17:42:15.344Z] [INFO] diagnostics: [Object ...],
[2026-05-15T17:42:15.344Z] [INFO] stream: true,
[2026-05-15T17:42:15.344Z] [INFO] },
[2026-05-15T17:42:15.345Z] [INFO] timeout: 600000,
[2026-05-15T17:42:15.345Z] [INFO] signal: AbortSignal {
[2026-05-15T17:42:15.345Z] [INFO] [Symbol(events.maxEventTargetListeners)]: 50,
[2026-05-15T17:42:15.345Z] [INFO] [Symbol(events.maxEventTargetListenersWarned)]: false,
[2026-05-15T17:42:15.345Z] [INFO] aborted: false,
[2026-05-15T17:42:15.345Z] [INFO] reason: undefined,
[2026-05-15T17:42:15.345Z] [INFO] onabort: null,
[2026-05-15T17:42:15.346Z] [INFO] throwIfAborted: [Function: throwIfAborted],
[2026-05-15T17:42:15.346Z] [INFO] addEventListener: [Function: addEventListener],
[2026-05-15T17:42:15.346Z] [INFO] removeEventListener: [Function: removeEventListener],
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[2026-05-15T17:42:15.346Z] [INFO] },
[2026-05-15T17:42:15.346Z] [INFO] stream: true,
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[2026-05-15T17:42:15.347Z] [INFO] "anthropic-beta": "claude-code-20250219,oauth-2025-04-20,interleaved-thinking-2025-05-14,context-management-2025-06-27,prompt-caching-scope-2026-01-05,advisor-tool-2026-03-01,advanced-tool-use-2025-11-20,effort-2025-11-24,extended-cache-ttl-2025-04-11,cache-diagnosis-2026-04-07",
[2026-05-15T17:42:15.347Z] [INFO] "anthropic-dangerous-direct-browser-access": "true",
[2026-05-15T17:42:15.348Z] [INFO] "anthropic-version": "2023-06-01",
[2026-05-15T17:42:15.348Z] [INFO] authorization: "***",
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[2026-05-15T17:42:15.349Z] [INFO] "x-stainless-os": "Linux",
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[2026-05-15T17:42:15.350Z] [INFO] }
[2026-05-15T17:42:18.036Z] [INFO] [log_372400, request-id: "req_011Cb4mT4i6P63Bm5T1hDuDT"] post https://api.anthropic.com/v1/messages?beta=true succeeded with status 200 in 2697ms
[2026-05-15T17:42:18.036Z] [INFO] [log_372400] response start {
[2026-05-15T17:42:18.037Z] [INFO] url: "https://api.anthropic.com/v1/messages?beta=true",
[2026-05-15T17:42:18.037Z] [INFO] status: 200,
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[2026-05-15T17:42:18.038Z] [INFO] "anthropic-ratelimit-unified-overage-status": "rejected",
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[2026-05-15T17:42:18.039Z] [INFO] "anthropic-ratelimit-unified-status": "allowed",
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[2026-05-15T17:42:30.867Z] [INFO] "stdout": " contextMatch: true,\n context: contextNormalized,\n };\n }\n }\n\n // No context match: prefer records with no contexts declared.\n termMatches.sort((a, b) => {\n const ac = (Array.isArray(a.contexts) && a.contexts.length > 0) ? 1 : 0;\n const bc = (Array.isArray(b.contexts) && b.contexts.length > 0) ? 1 : 0;\n return ac - bc;\n });\n return {\n record: termMatches[0],\n contextMatch: false,\n context: contextNormalized || null,\n };\n}\n\nfunction lookupConceptQuery(query) {\n if (!query) return null;\n const direct = rankConceptForPair(query.term, query.context);\n if (direct) return direct;\n if (query.context) {\n const reversed = rankConceptForPair(query.context, query.term);\n if (reversed) return reversed;\n }\n return null;\n}\n\nfunction lookupConcept(term) {\n const hit = lookupConceptQuery({ term: term, context: null });\n return hit ? hit.record : null;\n}\n\n// Default concept-lookup patterns when seed/prompt-patterns.lino is missing.\n// Sorted longest-first so \"what is a \" beats \"what is \" when both match.\nconst DEFAULT_CONCEPT_SUFFIXES = [\n \" क्या होता है\",\n \" क्या है\",\n \" कौन हैं\",\n \" कौन है\",\n \"是甚麼\",\n \"是什么\",\n \"是誰\",\n \"是谁\",\n];\nconst DEFAULT_CONCEPT_PREFIXES = [\n \"what is a \",\n \"what is an \",\n \"what is the \",\n \"what is \",\n \"what's a \",\n \"what's an \",\n \"what's the \",\n \"what's \",\n \"what does \",\n \"tell me about \",\n \"tell me what \",\n \"define \",\n \"explain \",\n \"describe \",\n \"who is \",\n \"who was \",\n \"что такое \",\n \"что это \",\n \"кто такой \",\n \"кто такая \",\n \"кто это \",\n \"расскажи о \",\n \"расскажи про \",\n \"опиши \",\n \"объясни \",\n \"什么是\",\n \"甚麼是\",\n \"请解释\",\n \"请说说\",\n \"介绍一下\",\n];\n\nfunction conceptPatternsByKind(kind) {\n const matches = PROMPT_PATTERNS.filter(\n (p) => p && p.intent === \"concept_lookup\" && p.kind === kind && p.text,\n ).map((p) => p.text);\n // Sort longest-first so more specific patterns win.\n matches.sort((a, b) => b.length - a.length);\n if (matches.length > 0) return matches;\n if (kind === \"suffix\") return DEFAULT_CONCEPT_SUFFIXES;\n if (kind === \"prefix\") return DEFAULT_CONCEPT_PREFIXES;\n return [];\n}\n\nfunction splitTermAndContext(body) {\n const delimiters = conceptPatternsByKind(\"context_delimiter\");\n for (const delimiter of delimiters) {\n const idx = body.indexOf(delimiter);\n if (idx >= 0) {\n const term = body.slice(0, idx).trim();\n const context = body.slice(idx + delimiter.length).trim();\n if (term && context) {\n return { term: term, context: context };\n }\n }\n }\n return { term: body, context: null };\n}\n\nfunction extractConceptQuery(prompt) {\n const trimmedRaw = String(prompt || \"\")\n .trim()\n .replace(/[?。.!!,,;:]+$/g, \"\")\n .trim();\n if (!trimmedRaw) return null;\n\n const suffixes = conceptPatternsByKind(\"suffix\");\n for (const suffix of suffixes) {\n if (trimmedRaw.endsWith(suffix)) {\n return finalizeConceptBody(\n trimmedRaw.slice(0, -suffix.length).trim(),\n );\n }\n }\n\n const lower = trimmedRaw.toLowerCase();\n const prefixes = conceptPatternsByKind(\"prefix\");\n let body = null;\n for (const prefix of prefixes) {\n if (lower.startsWith(prefix)) {\n body = trimmedRaw.slice(prefix.length);\n break;\n }\n }\n if (!body) return null;\n return finalizeConceptBody(body);\n}\n\nfunction extractConceptTerm(prompt) {\n const query = extractConceptQuery(prompt);\n return query ? 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