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aegntic
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Add an impressive beginner-level recipe that automatically organizes and prioritizes tasks from various sources (files, emails, messages) into actionable todo lists. This recipe demonstrates practical AI-powered productivity enhancement. Key Features: - Multi-source task extraction (files, emails, messages, notes) - Intelligent categorization by urgency and importance - Project-based task organization - Priority filtering and deadline tracking - Actionable task transformation Recipe Details: - Uses exactly 1 MCP server (Filesystem) - beginner requirement - Comprehensive parameter system for flexible task management - Detailed prompt template with conditional logic - Follows proper YAML structure and validation - Addresses real-world productivity challenges Hacktoberfest Contribution: - Addresses issue block#4933: Beginner Recipe Submission block#2 - Meets all beginner recipe criteria - Provides immediate value to users - Demonstrates practical AI workflow automation Impact: - Helps users turn scattered information into organized action plans - Reduces task overwhelm through intelligent prioritization - Enhances productivity with automated task management - Showcases practical AI-assisted workflow optimization Signed-off-by: aegntic <team@aegntic.com>
aegntic
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Add an impressive beginner-level recipe that automatically organizes and prioritizes tasks from various sources (files, emails, messages) into actionable todo lists using AI-powered automation. Key Features: - Multi-source task extraction (files, emails, messages, notes) - Intelligent categorization by urgency and importance - Project-based task organization - Priority filtering and deadline tracking - Actionable task transformation Recipe Details: - Uses exactly 1 built-in MCP server (Filesystem) - beginner requirement - Comprehensive parameter system for flexible task management - Detailed prompt template with conditional logic - Follows proper YAML structure and validation - Addresses real-world productivity challenges Technical Implementation: - Fixed YAML syntax issues with proper string quoting - Corrected extension type from 'stdio' to 'builtin' - Ensured compliance with recipe validation requirements Hacktoberfest Contribution: - Addresses issue block#4933: Beginner Recipe Submission block#2 - Meets all beginner recipe criteria - Provides immediate value to users - Demonstrates practical AI workflow automation Impact: - Helps users turn scattered information into organized action plans - Reduces task overwhelm through intelligent prioritization - Enhances productivity with automated task management - Showcases practical AI-assisted workflow optimization
aegntic
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Oct 1, 2025
Add an impressive beginner-level recipe that automatically organizes and prioritizes tasks from various sources (files, emails, messages) into actionable todo lists using AI-powered automation. Key Features: - Multi-source task extraction (files, emails, messages, notes) - Intelligent categorization by urgency and importance - Project-based task organization - Priority filtering and deadline tracking - Actionable task transformation Recipe Details: - Uses exactly 1 built-in MCP server (Filesystem) - beginner requirement - Comprehensive parameter system for flexible task management - Detailed prompt template with conditional logic - Follows proper YAML structure and validation - Addresses real-world productivity challenges Hacktoberfest Contribution: - Addresses issue block#4933: Beginner Recipe Submission block#2 - Meets all beginner recipe criteria - Provides immediate value to users - Demonstrates practical AI workflow automation Impact: - Helps users turn scattered information into organized action plans - Reduces task overwhelm through intelligent prioritization - Enhances productivity with automated task management - Showcases practical AI-assisted workflow optimization
aegntic
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Oct 1, 2025
Add an impressive beginner-level recipe that automatically organizes and prioritizes tasks from various sources (files, emails, messages) into actionable todo lists using AI-powered automation. Key Features: - Multi-source task extraction (files, emails, messages, notes) - Intelligent categorization by urgency and importance - Project-based task organization - Priority filtering and deadline tracking - Actionable task transformation Recipe Details: - Uses exactly 1 built-in MCP server (Filesystem) - beginner requirement - Comprehensive parameter system for flexible task management - Detailed prompt template with conditional logic - Follows proper YAML structure and validation - Addresses real-world productivity challenges Technical Implementation: - Fixed YAML syntax issues with proper string quoting - Corrected extension type to use built-in filesystem extension - Ensured compliance with recipe validation requirements Hacktoberfest Contribution: - Addresses issue block#4933: Beginner Recipe Submission block#2 - Meets all beginner recipe criteria - Provides immediate value to users - Demonstrates practical AI workflow automation Impact: - Helps users turn scattered information into organized action plans - Reduces task overwhelm through intelligent prioritization - Enhances productivity with automated task management - Showcases practical AI-assisted workflow optimization
aegntic
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Oct 1, 2025
Add an impressive beginner-level recipe that automatically organizes and prioritizes tasks from various sources (files, emails, messages) into actionable todo lists using AI-powered automation. Key Features: - Multi-source task extraction (files, emails, messages, notes) - Intelligent categorization by urgency and importance - Project-based task organization - Priority filtering and deadline tracking - Actionable task transformation Recipe Details: - Uses exactly 1 built-in MCP server (Filesystem) - beginner requirement - Comprehensive parameter system for flexible task management - Detailed prompt template with conditional logic - Follows proper YAML structure and validation - Addresses real-world productivity challenges Hacktoberfest Contribution: - Addresses issue block#4933: Beginner Recipe Submission block#2 - Meets all beginner recipe criteria - Provides immediate value to users - Demonstrates practical AI workflow automation Impact: - Helps users turn scattered information into organized action plans - Reduces task overwhelm through intelligent prioritization - Enhances productivity with automated task management - Showcases practical AI-assisted workflow optimization
aegntic
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Oct 2, 2025
Add an impressive beginner-level recipe that automatically organizes and prioritizes tasks from various sources (files, emails, messages) into actionable todo lists using AI-powered automation. Key Features: - Multi-source task extraction (files, emails, messages, notes) - Intelligent categorization by urgency and importance - Project-based task organization - Priority filtering and deadline tracking - Actionable task transformation Recipe Details: - Uses exactly 1 built-in MCP server (Filesystem) - beginner requirement - Comprehensive parameter system for flexible task management - Detailed prompt template with conditional logic - Follows proper YAML structure and validation - Addresses real-world productivity challenges Hacktoberfest Contribution: - Addresses issue block#4933: Beginner Recipe Submission block#2 - Meets all beginner recipe criteria - Provides immediate value to users - Demonstrates practical AI workflow automation Impact: - Helps users turn scattered information into organized action plans - Reduces task overwhelm through intelligent prioritization - Enhances productivity with automated task management - Showcases practical AI-assisted workflow optimization
aegntic
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Oct 2, 2025
Add an impressive beginner-level recipe that automatically organizes and prioritizes tasks from various sources (files, emails, messages) into actionable todo lists using AI-powered automation. Key Features: - Multi-source task extraction (files, emails, messages, notes) - Intelligent categorization by urgency and importance - Project-based task organization - Priority filtering and deadline tracking - Actionable task transformation Recipe Details: - Uses exactly 1 built-in MCP server (Filesystem) - beginner requirement - Comprehensive parameter system for flexible task management - Detailed prompt template with conditional logic - Follows proper YAML structure and validation - Addresses real-world productivity challenges Hacktoberfest Contribution: - Addresses issue block#4933: Beginner Recipe Submission block#2 - Meets all beginner recipe criteria - Provides immediate value to users - Demonstrates practical AI workflow automation Impact: - Helps users turn scattered information into organized action plans - Reduces task overwhelm through intelligent prioritization - Enhances productivity with automated task management - Showcases practical AI-assisted workflow optimization Signed-off-by: aegntic <research@aegntic.ai>
aegntic
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Oct 4, 2025
Add an impressive beginner-level recipe that automatically organizes and prioritizes tasks from various sources (files, emails, messages) into actionable todo lists using AI-powered automation. Key Features: - Multi-source task extraction (files, emails, messages, notes) - Intelligent categorization by urgency and importance - Project-based task organization - Priority filtering and deadline tracking - Actionable task transformation Recipe Details: - Uses exactly 1 built-in MCP server (Filesystem) - beginner requirement - Comprehensive parameter system for flexible task management - Detailed prompt template with conditional logic - Follows proper YAML structure and validation - Addresses real-world productivity challenges Hacktoberfest Contribution: - Addresses issue block#4933: Beginner Recipe Submission block#2 - Meets all beginner recipe criteria - Provides immediate value to users - Demonstrates practical AI workflow automation Impact: - Helps users turn scattered information into organized action plans - Reduces task overwhelm through intelligent prioritization - Enhances productivity with automated task management - Showcases practical AI-assisted workflow optimization Signed-off-by: aegntic <research@aegntic.ai>
aegntic
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Oct 16, 2025
Add an impressive beginner-level recipe that automatically organizes and prioritizes tasks from various sources (files, emails, messages) into actionable todo lists using AI-powered automation. Key Features: - Multi-source task extraction (files, emails, messages, notes) - Intelligent categorization by urgency and importance - Project-based task organization - Priority filtering and deadline tracking - Actionable task transformation Recipe Details: - Uses exactly 1 built-in MCP server (Filesystem) - beginner requirement - Comprehensive parameter system for flexible task management - Detailed prompt template with conditional logic - Follows proper YAML structure and validation - Addresses real-world productivity challenges Hacktoberfest Contribution: - Addresses issue block#4933: Beginner Recipe Submission block#2 - Meets all beginner recipe criteria - Provides immediate value to users - Demonstrates practical AI workflow automation Impact: - Helps users turn scattered information into organized action plans - Reduces task overwhelm through intelligent prioritization - Enhances productivity with automated task management - Showcases practical AI-assisted workflow optimization Signed-off-by: aegntic <research@aegntic.ai>
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aharvard
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Nov 10, 2025
- Track trusted webContents IDs in a Set (trustedWebContentsIds) - Only inject proxy token for requests from trusted webContents - Validate webContents type (window/webview only) before trusting - Validate webContents URL (file:// or dev server) before trusting - Auto-cleanup trusted IDs when webContents destroyed - Log warnings when untrusted webContents attempt proxy access - Add type guard for undefined webContentsId - Add comprehensive documentation explaining security flow This prevents arbitrary webContents (compromised iframes, popups, etc.) from automatically receiving the proxy authentication token. Addresses security review item #2
arul-cc
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Nov 17, 2025
feat(anthropic): include custom provider configuration header in API …
bzqzheng
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Feb 4, 2026
This fixes the Fork Session issues where messages appeared to be gone or the session seemed to update the existing one. The root cause was a race condition where auto-submit fired before the forked conversation loaded. Root Causes Fixed: 1. Auto-submit fired immediately, before messages loaded 2. Backend wasn't passed explicit conversation, potentially using stale data 3. User never saw the forked conversation history before it was modified The Fix (Two Parts): Part 1: Wait for Messages to Load (useAutoSubmit.ts) - Check messages.length > 0 before auto-submitting for forked sessions - This ensures the conversation history is loaded and visible - If messages haven't loaded, return and wait for next render - Once loaded, auto-submit fires with the edited message Part 2: Pass conversation_so_far Explicitly (useChatStream.ts) - When handleSubmit is called with existing messages, pass conversation_so_far - This ensures backend uses the correct conversation state - Prevents backend from loading potentially stale session data - Fixes both fork and edit-in-place scenarios Expected Behavior After Fix: 1. User clicks "Fork Session" with edited message 2. Backend creates forked session with conversation history 3. Frontend loads session, displays conversation history 4. Auto-submit waits until messages.length > 0 5. Auto-submit fires with edited message + explicit conversation 6. Backend processes with correct conversation context 7. New response streams back 8. User sees: [history] + [edited message] + [new response] This maintains the expected automatic behavior while fixing the race condition and ensuring data consistency. Fixes both Bug block#1 and Bug block#2 from fork session investigation Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> Signed-off-by: Bright Zheng <bright@squareup.com>
nkuhn-vmw
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Feb 10, 2026
Implement a first-class provider for Tanzu AI Services, enabling enterprise-managed LLM access through Cloud Foundry service bindings with an OpenAI-compatible API. - Add TanzuAIServicesProvider using OpenAiCompatibleProvider - Support single-model and multi-model credential formats - Support VCAP_SERVICES auto-detection for Cloud Foundry - Implement config_url model discovery and capability filtering - Register as Builtin provider in init.rs - Add 14 unit tests and 10 integration tests (wiremock) - Update providers.md documentation Closes block#1, block#2, block#3, block#4, block#5, block#6, block#7, block#8, block#12, block#16 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Tyler-Hardin
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Feb 11, 2026
The parallel tool call merge (merge block#2) was too aggressive — it merged assistant+tool_call messages across separate model response boundaries. When a multi-step conversation had reasoning_content on each step's assistant message, merge block#2 combined all tool_calls into a single assistant message, losing reasoning_content from later steps and creating an invalid conversation structure for Kimi thinking models. The fix adds a check: stop merging when the next assistant message has reasoning_content, which indicates a new model response rather than a split parallel tool call from the same response. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Signed-off-by: Harrison <hcstebbins@gmail.com>
Tyler-Hardin
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Feb 11, 2026
The parallel tool call merge (merge block#2) was too aggressive — it merged assistant+tool_call messages across separate model response boundaries. When a multi-step conversation had reasoning_content on each step's assistant message, merge block#2 combined all tool_calls into a single assistant message, losing reasoning_content from later steps and creating an invalid conversation structure for Kimi thinking models. The fix adds a check: stop merging when the next assistant message has reasoning_content, which indicates a new model response rather than a split parallel tool call from the same response. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Signed-off-by: Harrison <hcstebbins@gmail.com>
Tyler-Hardin
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Feb 11, 2026
The parallel tool call merge (merge block#2) was too aggressive — it merged assistant+tool_call messages across separate model response boundaries. When a multi-step conversation had reasoning_content on each step's assistant message, merge block#2 combined all tool_calls into a single assistant message, losing reasoning_content from later steps and creating an invalid conversation structure for Kimi thinking models. The fix adds a check: stop merging when the next assistant message has reasoning_content, which indicates a new model response rather than a split parallel tool call from the same response. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Signed-off-by: Harrison <hcstebbins@gmail.com>
Tyler-Hardin
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Feb 11, 2026
The parallel tool call merge (merge block#2) was too aggressive — it merged assistant+tool_call messages across separate model response boundaries. When a multi-step conversation had reasoning_content on each step's assistant message, merge block#2 combined all tool_calls into a single assistant message, losing reasoning_content from later steps and creating an invalid conversation structure for Kimi thinking models. The fix adds a check: stop merging when the next assistant message has reasoning_content, which indicates a new model response rather than a split parallel tool call from the same response. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Signed-off-by: Harrison <hcstebbins@gmail.com>
Tyler-Hardin
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Feb 11, 2026
The parallel tool call merge (merge block#2) was too aggressive — it merged assistant+tool_call messages across separate model response boundaries. When a multi-step conversation had reasoning_content on each step's assistant message, merge block#2 combined all tool_calls into a single assistant message, losing reasoning_content from later steps and creating an invalid conversation structure for Kimi thinking models. The fix adds a check: stop merging when the next assistant message has reasoning_content, which indicates a new model response rather than a split parallel tool call from the same response. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Signed-off-by: Harrison <hcstebbins@gmail.com>
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document how to run shell from source