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doc: Correction of errors
0096f9e -
doc: add Social Media Post
cfa8ed9 -
doc: Optimization error description
de31bb3 -
docs: add demo video and update README
d7089f6 -
docs: add demo video and update README
7b1501a -
docs: add demo video and update README
e414c5f -
docs: add demo video and update README
adaee0a -
docs: add demo video and update README
5c942e2 -
docs: add demo video and update README
032c25f -
docs: add demo video and update README
2ba0254 -
docs: add demo video and update README
2ec2e6b -
docs: add demo video and update README
347da1e -
"feat(viz): add alt distance and stop rating to map popups"
6d9515a -
"feat(viz): add alt distance and stop rating to map popups"
9f2e319 -
docs: Organize the content in order
182cdaf -
docs: fix thumbnail width
1edb172 -
docs: fix thumbnail width
555fddf -
docs: fix thumbnail width
9baf801 -
docs: fix thumbnail width
8f8cdef -
docs: fix thumbnail width
1fd199c -
docs: fix thumbnail width
bf05739 -
docs: add update README for release
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docs: add MIT license, acknowledgements and update README for release
a588387 -
Update code and remove binary assets
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Delete assets
Verified signatureff7e2cd -
Upload demo.png
Verified signaturec091138 -
try to building social_image
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feat: Update the Quick Start Examples
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fix: Fixed Incorrect expression
6d5e70c -
fix: Import .md
f899746 -
fix: Error Description
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"Docs: Add Architecture, Agents & Troubleshooting guides; Update README (Demo links coming soon)"
1afcb94
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feat: update requirements
bc58aa1 -
feat: improve UI/UX
feat: update README.md info0fe3818 -
feat: improve UI/UX
feat: update README.md info0007a2a -
feat: improve UI/UX
feat: update README.md infoecbe9e4 -
feat: 🚀 Evolve to Stateful MCP Architecture with Context Injection Middleware
Major architectural overhaul to decouple Agent Logic (Service) from Tool Execution (Server) using the Model Context Protocol (MCP). Key Highlights: - **Micro-Architecture**: Migrated local toolkits to a standalone `FastMCP` server process (`mcp_server_lifeflow.py`). - **Context Engineering**: Implemented an AOP-style interceptor using Python `ContextVars`. This automatically injects `session_id` and `api_key` into MCP tool calls, keeping Agent prompts clean and reducing token usage. - **Multi-Tenant Safety**: Achieved strict session isolation. User-provided API keys dynamically override system environment variables via the injection layer. - **Runtime Metaprogramming**: Solved Agno/Phidata internal naming conflicts (`_` prefix) by dynamically patching tool entrypoints at startup. - **Exclusive Channels**: Configured dedicated MCP pipes for each Agent (`Scout`, `Navigator`, etc.) to prevent tool hallucination. This commit satisfies all requirements for Hackathon Track 2: MCP in Action…1518a95 -
feat: 🚀 Evolve to Stateful MCP Architecture with Context Injection Middleware
Major architectural overhaul to decouple Agent Logic (Service) from Tool Execution (Server) using the Model Context Protocol (MCP). Key Highlights: - **Micro-Architecture**: Migrated local toolkits to a standalone `FastMCP` server process (`mcp_server_lifeflow.py`). - **Context Engineering**: Implemented an AOP-style interceptor using Python `ContextVars`. This automatically injects `session_id` and `api_key` into MCP tool calls, keeping Agent prompts clean and reducing token usage. - **Multi-Tenant Safety**: Achieved strict session isolation. User-provided API keys dynamically override system environment variables via the injection layer. - **Runtime Metaprogramming**: Solved Agno/Phidata internal naming conflicts (`_` prefix) by dynamically patching tool entrypoints at startup. - **Exclusive Channels**: Configured dedicated MCP pipes for each Agent (`Scout`, `Navigator`, etc.) to prevent tool hallucination. This commit satisfies all requirements for Hackathon Track 2: MCP in Action…5bbc6a1 -
feat: 🚀 Evolve to Stateful MCP Architecture with Context Injection Middleware
Major architectural overhaul to decouple Agent Logic (Service) from Tool Execution (Server) using the Model Context Protocol (MCP). Key Highlights: - **Micro-Architecture**: Migrated local toolkits to a standalone `FastMCP` server process (`mcp_server_lifeflow.py`). - **Context Engineering**: Implemented an AOP-style interceptor using Python `ContextVars`. This automatically injects `session_id` and `api_key` into MCP tool calls, keeping Agent prompts clean and reducing token usage. - **Multi-Tenant Safety**: Achieved strict session isolation. User-provided API keys dynamically override system environment variables via the injection layer. - **Runtime Metaprogramming**: Solved Agno/Phidata internal naming conflicts (`_` prefix) by dynamically patching tool entrypoints at startup. - **Exclusive Channels**: Configured dedicated MCP pipes for each Agent (`Scout`, `Navigator`, etc.) to prevent tool hallucination. This commit satisfies all requirements for Hackathon Track 2: MCP in Action…529a8bd
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feat(v1.0.1): upgrade planner reasoning, map visuals, and presenter output
This release upgrades LifeFlow AI with advanced reasoning logic and dynamic visualizations for the hackathon demo. Key Changes: 1. Planner Agent (Logic Upgrade): - Implemented "Strict Triage" logic to prioritize logistics and fixed appointments over casual tasks. - Added contextual duration estimation (e.g., assigning 20 mins for airport drop-offs instead of default 60). - Added exclusion rules to prevent redundant "Arrive at Start" tasks. 2. Map Visualization (Visual Upgrade): - Replaced static lines with directional arrows to clearly show travel flow. - Added dynamic leg coloring that matches destination markers for better clarity. - Consolidated alternative routes into a single, clean map layer. 3. Presenter Agent: - Enforced strict Markdown output to prevent raw JSON leakage in the final report. - Added automatic mode switching between "Executive Briefing" and "Magazine Feature" styles. - Implemented fail-fast logic to handle incomplete data gracefully. 4. Core Fixes: - Fixed…9066e49
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add tool doc
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del unuseful code
38995df -
Improve README error descriptions
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feat: Improved stop point color in visualizer.py
feat: Improved logger functionality in the wooden agent toolf4b9b0d -
feat: Improved stop point color in visualizer.py
feat: Improved logger functionality in the wooden agent toolcec5bde -
# ⚡ Model Registry Optimization (Fast Mode)
## Changes - **Removed Llama 3.3 70B**: Deprecated due to stability issues in structured output (Ref: agno-agi/agno#4090). - **Added Qwen 2.5 32B (`qwen-2.5-32b`)**: New default for Fast Mode. Chosen for its superior performance in JSON generation and logic reasoning at lower latency. - **Added GPT-OSS 20B (`openai/gpt-oss-20b`)**: Lightweight alternative for ultra-fast data retrieval tasks. -- update README.md ## Impact - Improves "Fast Mode" stability for Tool Calling (Scout/Navigator). - Reduces latency for intermediate reasoning steps.e127d7d -
# ⚡ Model Registry Optimization (Fast Mode)
## Changes - **Removed Llama 3.3 70B**: Deprecated due to stability issues in structured output (Ref: agno-agi/agno#4090). - **Added Qwen 2.5 32B (`qwen-2.5-32b`)**: New default for Fast Mode. Chosen for its superior performance in JSON generation and logic reasoning at lower latency. - **Added GPT-OSS 20B (`openai/gpt-oss-20b`)**: Lightweight alternative for ultra-fast data retrieval tasks. -- update README.md ## Impact - Improves "Fast Mode" stability for Tool Calling (Scout/Navigator). - Reduces latency for intermediate reasoning steps.684c8a3 -
Release v1.0.0: Hybrid AI Architecture, Modern UI Overhaul, and Performance Optimizations
# 🚀 Major Features: Hybrid AI Architecture - **Dual-Brain System**: Implemented "Primary Brain" (GPT-4o/Gemini) for complex reasoning and "Acceleration Layer" (Groq/Llama-3) for fast tool execution. - **Model Allowlist**: Integrated `MODEL_OPTIONS` in `config.py` with tiered selection (Efficiency vs. Flagship). - **Fast Mode**: Added toggle to offload heavy tasks (Scout/Navigator) to Groq/Llama-3-70B, reducing costs and latency. # 🎨 UI/UX: Modern Redesign & Workflow - **Settings Modal Revamp**: - Redesigned with a "Purple/Gradient" theme for a professional look. - Split configuration into "Services", "Primary Brain", and "Acceleration" tabs. - Implemented **Passive Validation**: API keys are validated instantly on blur (Zero-cost check). - Dynamic visibility: Automatically hides redundant keys based on provider selection. - **Dashboard Layout**: - Vertical control bar in the header for better space utilization. - Repositioned "Stop & Back" button to the right column for …929b1d4 -
Release v1.0.0: Hybrid AI Architecture, Modern UI Overhaul, and Performance Optimizations
# 🚀 Major Features: Hybrid AI Architecture - **Dual-Brain System**: Implemented "Primary Brain" (GPT-4o/Gemini) for complex reasoning and "Acceleration Layer" (Groq/Llama-3) for fast tool execution. - **Model Allowlist**: Integrated `MODEL_OPTIONS` in `config.py` with tiered selection (Efficiency vs. Flagship). - **Fast Mode**: Added toggle to offload heavy tasks (Scout/Navigator) to Groq/Llama-3-70B, reducing costs and latency. # 🎨 UI/UX: Modern Redesign & Workflow - **Settings Modal Revamp**: - Redesigned with a "Purple/Gradient" theme for a professional look. - Split configuration into "Services", "Primary Brain", and "Acceleration" tabs. - Implemented **Passive Validation**: API keys are validated instantly on blur (Zero-cost check). - Dynamic visibility: Automatically hides redundant keys based on provider selection. - **Dashboard Layout**: - Vertical control bar in the header for better space utilization. - Repositioned "Stop & Back" button to the right column for …9092b29 -
Release v1.0.0: Hybrid AI Architecture, Modern UI Overhaul, and Performance Optimizations
# 🚀 Major Features: Hybrid AI Architecture - **Dual-Brain System**: Implemented "Primary Brain" (GPT-4o/Gemini) for complex reasoning and "Acceleration Layer" (Groq/Llama-3) for fast tool execution. - **Model Allowlist**: Integrated `MODEL_OPTIONS` in `config.py` with tiered selection (Efficiency vs. Flagship). - **Fast Mode**: Added toggle to offload heavy tasks (Scout/Navigator) to Groq/Llama-3-70B, reducing costs and latency. # 🎨 UI/UX: Modern Redesign & Workflow - **Settings Modal Revamp**: - Redesigned with a "Purple/Gradient" theme for a professional look. - Split configuration into "Services", "Primary Brain", and "Acceleration" tabs. - Implemented **Passive Validation**: API keys are validated instantly on blur (Zero-cost check). - Dynamic visibility: Automatically hides redundant keys based on provider selection. - **Dashboard Layout**: - Vertical control bar in the header for better space utilization. - Repositioned "Stop & Back" button to the right column for …63e03d8