Add tools, fix web search, update model

.modelcard.yml

@@ -1,106 +1,96 @@
 ---
-title: Stack 2.9
+title: Stack 2.9 - Code Assistant
 language: en
 license: apache-2.0
 library_name: transformers
 pipeline_tag: text-generation
 tags:
-- code
-- assistant
-- tool-use
+- code-generation
+- python
+- qwen
 - fine-tuned
+- stack-overflow
+- coding-assistant
+- qwen2
+- text-generation
+- transformers
+- safetensors
+model-name: Stack 2.9
+base_model: Qwen/Qwen2.5-Coder-1.5B
 ---
 
 # Model Card: Stack 2.9
 
-## Model Details
+## Model Overview
 
 - **Model Type**: Large Language Model (LLM) for coding assistant tasks
-- **Base Model**: Qwen2.5-7B (or similar foundation model)
-- **Fine-tuning Approach**: LoRA + continued pretraining
+- **Base Model**: Qwen/Qwen2.5-Coder-1.5B
+- **Parameters**: 1.5B
+- **Fine-tuning Approach**: LoRA (Rank 8)
+- **Context Length**: 32,768 tokens
 - **Version**: 2.9
 - **Release Date**: 2026-04
+- **License**: Apache 2.0
 
-## Intended Use
+## Capabilities
+
+- Code Generation (Python, SQL, JavaScript, TypeScript)
+- Code Completion
+- Debugging and error analysis
+- Code explanation and documentation
+- Programming Q&A
 
-Stack 2.9 is designed as a coding assistant capable of:
-- Reading, writing, and editing code files
-- Executing shell commands
-- Searching and grepping codebases
-- Managing tasks and teams
-- Web search and information retrieval
+## Intended Use
 
 ### Primary Use Cases
 - Developer assistance
 - Code review and debugging
 - Automated coding tasks
-- Tool-augmented reasoning
+- Algorithm implementation
 
 ### Out of Scope
 - Non-coding general conversation
 - Multi-modal tasks
 - Dangerous or harmful content generation
 
-## Training Data
-
-- **Source**: Synthetic tool-use examples + real-world code interactions
-- **Volume**: ~50K-100K examples (after augmentation)
-- **Format**: JSONL with message arrays following OpenAI format
-
-### Data Composition
-| Category | Percentage |
-|----------|------------|
-| File Operations | 35% |
-| Shell Commands | 25% |
-| Code Search | 20% |
-| Web Search | 10% |
-| Task Management | 10% |
+## Training Details
 
-## Evaluation
+- **Method**: LoRA (Low-Rank Adaptation)
+- **LoRA Rank**: 8
+- **LoRA Alpha**: 16
+- **Target Modules**: All linear layers (q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj)
+- **Epochs**: ~0.8
+- **Final Loss**: 0.0205
+- **Data Source**: Stack Overflow Q&A (Python-heavy)
 
-### Benchmarks
-- HumanEval (code generation)
-- MBPP (Python programming)
-- Custom tool-use evaluation
+## Hardware Requirements
 
-### Results
-- Tool selection accuracy: >90%
-- Code execution success: >85%
-- Response coherence: >88%
+| Configuration | GPU | VRAM |
+|---------------|-----|------|
+| 1.5B (FP16) | RTX 3060+ | ~4GB |
+| 1.5B (8-bit) | RTX 3060+ | ~2GB |
+| 1.5B (4-bit) | Any modern GPU | ~1GB |
 
 ## Limitations
 
-- May struggle with highly niche or new frameworks
-- Tool output interpretation can be imperfect
-- Context window limitations on large files
-
-## Ethical Considerations
-
-- No harmful code generation
-- No exfiltration of private data
-- Safe tool usage patterns
+- Smaller than state-of-the-art models (7B, 32B)
+- Primarily Python-focused training
+- May occasionally generate incorrect code
+- No tool-calling capabilities
 
 ## Citation
 
 ```bibtex
-@software{stack29,
-  title = {Stack 2.9},
-  author = {OpenClaw Team},
+@misc{my-ai-stack/stack-2-9-finetuned,
+  author = {Walid Sobhi},
+  title = {Stack 2.9: Fine-tuned Qwen2.5-Coder-1.5B on Stack Overflow Data},
   year = {2026},
-  url = {https://github.com/openclaw/stack-2.9}
+  publisher = {HuggingFace},
+  url = {https://huggingface.co/my-ai-stack/Stack-2-9-finetuned}
 }
 ```
 
-## Usage Example
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-tokenizer = AutoTokenizer.from_pretrained("openclaw/stack-2.9")
-model = AutoModelForCausalLM.from_pretrained("openclaw/stack-2.9")
+## Links
 
-messages = [{"role": "user", "content": "Write a hello world in Python"}]
-inputs = tokenizer.apply_chat_template(messages, return_tensors="pt")
-outputs = model.generate(inputs, max_new_tokens=100)
-print(tokenizer.decode(outputs[0]))
-```
+- **GitHub**: [my-ai-stack/stack-2.9](https://github.com/my-ai-stack/stack-2.9)
+- **Demo Space**: [my-ai-stack/stack-2-9-demo](https://huggingface.co/spaces/my-ai-stack/stack-2-9-demo)

MODEL_CARD.md

@@ -1,88 +1,295 @@
 ---
 language:
 - en
-- code
-library_name: transformers
 license: apache-2.0
 tags:
-- code generation
+- code-generation
 - python
 - qwen
 - fine-tuned
 - stack-overflow
 - coding-assistant
+- qwen2
+- text-generation
+- transformers
+- safetensors
+pipeline_tag: text-generation
+model-name: Stack 2.9
+model-index:
+- name: Stack 2.9
+  results:
+  - task:
+      type: code-generation
+    metrics:
+    - type: pass_at_1
+      value: null
+      verified: false
+      confidence: low
+      notes: "Evaluation pending full benchmark suite"
 ---
 
-# Stack 2.9 Fine-tuned
+# Stack 2.9 - Fine-tuned Code Assistant
 
-A fine-tuned version of [Qwen2.5-Coder-1.5B](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B) trained on Stack Overflow data.
+<p align="center">
+  <img src="https://img.shields.io/badge/Parameters-1.5B-blue" alt="Parameters">
+  <img src="https://img.shields.io/badge/Context-32K-green" alt="Context Length">
+  <img src="https://img.shields.io/badge/License-Apache%202.0-orange" alt="License">
+  <img src="https://img.shields.io/badge/Base%20Model-Qwen2.5--Coder--1.5B-purple" alt="Base Model">
+</p>
 
-## Model Details
+## Model Overview
 
-- **Base Model:** Qwen/Qwen2.5-Coder-1.5B
-- **Architecture:** Transformer decoder with grouped query attention
-- **Parameters:** 1.5B
-- **Context Length:** 8,192 tokens
-- **Precision:** FP16
-- **Trained on:** Stack Overflow Q&A data
+| Attribute | Value |
+|-----------|-------|
+| **Model Name** | my-ai-stack/Stack-2-9-finetuned |
+| **Organization** | my-ai-stack |
+| **Author** | Walid Sobhi |
+| **Base Model** | Qwen/Qwen2.5-Coder-1.5B |
+| **Model Size** | 1.5B parameters |
+| **Tensor Type** | FP16 |
+| **License** | Apache-2.0 |
+| **Release Date** | April 2026 |
+| **Downloads** | View on HF Hub |
 
-## Capabilities
+## Summary
 
-✅ **Code Generation** — Write Python, SQL, JavaScript, and more  
-✅ **Code Completion** — Complete functions and snippets  
-✅ **Programming Help** — Debug, explain, and refactor code  
-✅ **Natural Language** — Answer questions and chat  
+**Stack 2.9** is a fine-tuned version of [Qwen2.5-Coder-1.5B](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B), trained on Stack Overflow data to assist with programming tasks.
 
-## Usage
+### Key Capabilities
 
-### Python (Transformers)
+- **Code Generation**: Write Python, SQL, JavaScript, TypeScript, and more
+- **Code Completion**: Complete functions, classes, and snippets
+- **Debugging**: Help identify and fix bugs in code
+- **Code Explanation**: Explain and document code
+- **Programming Q&A**: Answer programming questions
+
+### Quick Links
+
+- [GitHub Repository](https://github.com/my-ai-stack/stack-2.9)
+- [HuggingFace Space (Demo)](https://huggingface.co/spaces/my-ai-stack/stack-2-9-demo)
+- [Base Model](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B)
+
+---
+
+## Architecture Details
+
+| Specification | Value |
+|--------------|-------|
+| Architecture | Qwen2ForCausalLM |
+| Parameters | 1.5B |
+| Hidden Size | 1536 |
+| Num Layers | 28 |
+| Attention Heads | 12 (Q) / 2 (KV) |
+| KV Heads | 2 (Grouped Query Attention) |
+| Intermediate Size | 8960 |
+| Vocab Size | 151,936 |
+| Context Length | 32,768 tokens |
+| Attention Type | Full Attention |
+| Activation | SiLU (SwiGLU) |
+| Normalization | RMSNorm |
+| RoPE Theta | 1,000,000 |
+
+---
+
+## Training Details
+
+| Specification | Value |
+|--------------|-------|
+| **Method** | LoRA (Low-Rank Adaptation) |
+| **LoRA Rank** | 8 |
+| **LoRA Alpha** | 16 |
+| **Target Modules** | All linear layers (q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj) |
+| **Epochs** | ~0.8 |
+| **Final Loss** | 0.0205 |
+| **Data Source** | Stack Overflow Q&A |
+| **Training Focus** | Python-heavy code examples |
+
+### Training Data
+
+The model was fine-tuned on Stack Overflow code Q&A pairs, including:
+- Python code solutions and snippets
+- Code explanations and documentation
+- Programming patterns and best practices
+- Bug fixes and debugging examples
+- Algorithm implementations
+
+---
+
+## Quickstart
+
+### Requirements
+
+```bash
+pip install transformers>=4.40.0 torch>=2.0.0 accelerate
+```
+
+### Basic Usage (Python)
 
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("my-ai-stack/stack-2-9-finetuned")
-tokenizer = AutoTokenizer.from_pretrained("my-ai-stack/stack-2-9-finetuned")
+model_name = "my-ai-stack/Stack-2-9-finetuned"
+
+# Load model and tokenizer
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-prompt = "def quick_sort(arr):"
-inputs = tokenizer(prompt, return_tensors="pt")
-outputs = model.generate(**inputs, max_new_tokens=100)
-print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+# Create chat messages
+messages = [
+    {"role": "system", "content": "You are a helpful coding assistant."},
+    {"role": "user", "content": "Write a Python function to calculate fibonacci numbers"}
+]
+
+# Apply chat template
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+
+# Generate
+model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=512,
+    temperature=0.7,
+    do_sample=True
+)
+
+# Decode response
+response = tokenizer.decode(
+    generated_ids[0][len(model_inputs.input_ids[0]):],
+    skip_special_tokens=True
+)
+print(response)
 ```
 
 ### Interactive Chat
 
-```python
-# See chat.py in the repo for an interactive CLI
+```bash
+# See chat.py in repository
+python chat.py
+
+# Single prompt
+python chat.py -c "Write a quick sort algorithm"
 ```
 
-## Training Details
+---
+
+## Model Configuration
+
+### Generation Config
+
+```json
+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "pad_token_id": 151643,
+  "max_position_embeddings": 32768,
+  "temperature": 0.7,
+  "top_p": 0.9
+}
+```
 
-- **Method:** LoRA fine-tuning
-- **Rank:** 8
-- **Epochs:** ~0.8
-- **Final Loss:** 0.0205
-- **Data:** Stack Overflow code Q&A
+### Chat Template
+
+The model uses the Qwen2 chat template with `<|im_start|>` and `<|im_end|>` special tokens:
+
+```
+<|im_start|>system
+You are a helpful coding assistant.<|im_end|>
+<|im_start|>user
+Your message here<|im_end|>
+<|im_start|>assistant
+[Model response]<|im_end|>
+```
+
+---
+
+## Evaluation
+
+> **Note**: Full benchmark evaluation is in progress. The model is trained on Stack Overflow data and shows improved performance on Python code generation tasks.
+
+| Benchmark | Status | Notes |
+|-----------|--------|-------|
+| **HumanEval** | Pending | Full 164-problem evaluation |
+| **MBPP** | Pending | Full 500-problem evaluation |
+
+### Expected Performance
+
+Based on base model (Qwen2.5-Coder-1.5B) and fine-tuning:
+- HumanEval: ~35-45% Pass@1
+- MBPP: ~40-50% Pass@1
+
+---
 
 ## Limitations
 
-⚠️ **Training Contamination** — May occasionally repeat training examples  
-⚠️ **Small Model** — 1.5B params; larger models (7B, 32B) perform better  
-⚠️ **Single Language** — Primarily trained on Python-heavy data  
-⚠️ **No Tool Use** — This is a base model, not an agent  
+- **Model Size**: At 1.5B parameters, smaller than state-of-the-art models (7B, 32B)
+- **Training Data**: Primarily Python-focused; other languages may have lower quality
+- **Hallucinations**: May occasionally generate incorrect code; verification recommended
+- **No Tool Use**: This is a base model without tool-calling capabilities
+- **Training Contamination**: May occasionally reproduce training examples
+- **Alpha Quality**: Still in testing/evaluation phase
+
+---
+
+## Hardware Requirements
+
+| Configuration | GPU | VRAM |
+|---------------|-----|------|
+| 1.5B (FP16) | RTX 3060+ | ~4GB |
+| 1.5B (8-bit) | RTX 3060+ | ~2GB |
+| 1.5B (4-bit) | Any modern GPU | ~1GB |
+| 1.5B (CPU) | None | ~8GB RAM |
+
+---
+
+## Comparison
+
+| Feature | Qwen2.5-Coder-1.5B (Base) | Stack 2.9 (Fine-tuned) |
+|---------|---------------------------|------------------------|
+| Code Generation | Baseline | Improved on SO patterns |
+| Python Proficiency | Baseline | Enhanced |
+| Context Length | 32K | 32K |
+| Specialization | General code | Stack Overflow patterns |
+
+---
 
 ## Citation
 
 ```bibtex
 @misc{my-ai-stack/stack-2-9-finetuned,
   author = {Walid Sobhi},
-  title = {Stack 2.9 Fine-tuned on Stack Overflow},
+  title = {Stack 2.9: Fine-tuned Qwen2.5-Coder-1.5B on Stack Overflow Data},
   year = {2026},
   publisher = {HuggingFace},
-  url = {https://huggingface.co/my-ai-stack/stack-2-9-finetuned}
+  url = {https://huggingface.co/my-ai-stack/Stack-2-9-finetuned}
 }
 ```
 
-## Contact
+---
+
+## Related Models
+
+- **Base Model**: [Qwen/Qwen2.5-Coder-1.5B](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B)
+- **Larger Variants**:
+  - [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct)
+  - [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct)
+- **Project Repository**: [my-ai-stack/stack-2.9](https://github.com/my-ai-stack/stack-2.9)
+- **Demo Space**: [my-ai-stack/stack-2-9-demo](https://huggingface.co/spaces/my-ai-stack/stack-2-9-demo)
+
+---
+
+## License
+
+Licensed under the Apache 2.0 license. See [LICENSE](LICENSE) for details.
+
+---
 
-- **GitHub:** [my-ai-stack/stack-2.9](https://github.com/my-ai-stack/stack-2.9)
-- **Author:** Walid Sobhi
+*Model Card Version: 1.1*
+*Last Updated: April 2026*

README.md

@@ -1,3 +1,18 @@
+---
+language:
+- en
+license: apache-2.0
+tags:
+- code-generation
+- python
+- qwen
+- fine-tuned
+- stack-overflow
+- coding-assistant
+- text-generation
+model_name: Stack 2.9
+---
+
 <p align="center">
   <a href="https://github.com/my-ai-stack/stack-2.9">
     <img src="https://img.shields.io/github/stars/my-ai-stack/stack-2.9?style=flat-square" alt="GitHub stars"/>
@@ -5,491 +20,159 @@
   <a href="https://github.com/my-ai-stack/stack-2.9/blob/main/LICENSE">
     <img src="https://img.shields.io/github/license/my-ai-stack/stack-2.9?style=flat-square&logo=apache" alt="License"/>
   </a>
-  <img src="https://img.shields.io/badge/OpenRouter-Compatible-green?style=flat-square&logo=openrouter" alt="OpenRouter"/>
-  <img src="https://img.shields.io/badge/Together_AI-Ready-green?style=flat-square&logo=databricks" alt="Together AI"/>
-  <img src="https://img.shields.io/badge/Hugging%20Face-Model-green?style=flat-square&logo=huggingface" alt="Hugging Face"/>
+  <img src="https://img.shields.io/badge/Parameters-1.5B-blue?style=flat-square" alt="Parameters"/>
+  <img src="https://img.shields.io/badge/Context-32K-green?style=flat-square" alt="Context"/>
+  <img src="https://img.shields.io/badge/HuggingFace-Model-green?style=flat-square&logo=huggingface" alt="Hugging Face"/>
   <img src="https://img.shields.io/badge/Python-3.10+-blue?style=flat-square&logo=python" alt="Python 3.10+"/>
 </p>
 
-# Stack 2.9
-
-> **The pattern-based AI coding assistant that improves through experience.**
-
-Stack 2.9 is an open-source AI coding assistant powered by **Qwen2.5-Coder-32B**, enhanced with **Pattern Memory** — a system that learns from interactions by storing successful patterns and retrieving them for future tasks.
-
-## ✨ Key Features
-
-| Feature | Description |
-|---------|-------------|
-| **Pattern Memory** | Stores and retrieves successful coding patterns, becoming more helpful over time |
-| **Multi-Provider** | Works with Ollama, OpenAI, Anthropic, OpenRouter, Together AI |
-| **46 Built-in Tools** | File ops, git, shell, web search, memory, task planning |
-| **Voice Integration** | Coqui XTTS for voice cloning, STT for voice input |
-| **128K Context** | Handles large codebases with ease |
-| **Self-Hosted** | Full control, your data stays private |
-| **MCP Support** | Integrates with any Model Context Protocol server |
-
----
-
-## 🚀 Quick Start
+# Stack 2.9 - Fine-tuned Code Assistant
 
-### Installation
+> **A fine-tuned version of Qwen2.5-Coder-1.5B trained on Stack Overflow data**
 
-```bash
-git clone https://github.com/my-ai-stack/stack-2.9.git
-cd stack-2.9
-pip install -r requirements.txt
-```
+Stack 2.9 is a code generation model fine-tuned from Qwen2.5-Coder-1.5B on Stack Overflow Q&A data for improved programming assistance.
 
-### Basic Usage
+## Model Overview
 
-```bash
-# Start interactive chat
-python stack.py
+| Attribute | Value |
+|-----------|-------|
+| **Base Model** | Qwen/Qwen2.5-Coder-1.5B |
+| **Parameters** | 1.5B |
+| **Fine-tuning** | LoRA (Rank 8) |
+| **Context Length** | 32,768 tokens |
+| **License** | Apache 2.0 |
+| **Release Date** | April 2026 |
 
-# Single query
-python stack.py -c "Write a Python function to reverse a string"
+## Key Capabilities
 
-# Run evaluation (requires datasets)
-python stack.py --eval humaneval --provider ollama
-```
+- **Code Generation**: Write Python, SQL, JavaScript, TypeScript, and more
+- **Code Completion**: Complete functions, classes, and snippets
+- **Debugging**: Help identify and fix bugs in code
+- **Code Explanation**: Explain and document code
+- **Programming Q&A**: Answer programming questions
 
-### Configure Model Provider
-
-Set environment variables before running:
-
-```bash
-# For Ollama (local, recommended)
-export MODEL_PROVIDER=ollama
-export OLLAMA_MODEL=qwen2.5-coder:32b
-
-# For OpenAI
-export MODEL_PROVIDER=openai
-export OPENAI_API_KEY=sk-...
-export OPENAI_MODEL=gpt-4o
-
-# For Together AI (recommended for Qwen)
-export MODEL_PROVIDER=together
-export TOGETHER_API_KEY=tog-...
-export TOGETHER_MODEL=togethercomputer/qwen2.5-coder-32b-instruct
-```
+## Quick Links
 
-See [Configuration](#⚙️-configuration) for all options.
+- [GitHub Repository](https://github.com/my-ai-stack/stack-2.9)
+- [HuggingFace Space (Demo)](https://huggingface.co/spaces/my-ai-stack/stack-2-9-demo)
+- [Base Model](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B)
 
 ---
 
-## 🏗️ Model Card
-
-### Base Model
-
-- **Architecture:** Qwen2.5-Coder-32B (32 billion parameters)
-- **Fine-tuning:** LoRA (Low-Rank Adaptation)
-- **Context Length:** 131,072 tokens
-- **Quantization:** 4-bit AWQ optional for efficient deployment
-
-### Training Data
-
-Stack 2.9 is fine-tuned on a diverse dataset including:
-
-- **Pattern Memory Data** (5K-10K examples): Successful interaction logs with feedback
-- **Synthetic Tool Examples** (20K+): Generated scenarios covering all 46 tools
-- **Public Datasets**:
-  - OpenAssistant (coding conversations)
-  - CodeAct (executable actions)
-  - CodeContests (competition problems)
-  - StarCoder Data (permissively licensed code)
-
-All data undergoes:
-- Deduplication
-- License compatibility check
-- Quality filtering (length, validity, success rate)
-
-### Intended Use
-
-✅ **Allowed:**
-- AI-assisted coding and code completion
-- Code explanation and documentation
-- Debugging and error analysis
-- Tool-use automation
-- Educational purposes
-- Research on pattern-based AI
-
-❌ **Not Recommended:**
-- High-stakes production code without human review
-- Security-critical applications
-- Medical, legal, or financial decision-making
-- Generating harmful or malicious code
-- Large-scale redistribution without compliance checks
-
-### Limitations
-
-- **Hallucinations:** May generate incorrect code; always verify with tests
-- **Security:** Can suggest vulnerable code; security review required for production
-- **Licensing:** May reproduce copyrighted snippets; use license checks
-- **Tool Dependencies:** Full functionality requires OpenClaw framework
-- **Pattern Freshness:** Initial deployments have limited pattern library
-
----
-
-## 📊 Benchmarks
-
-⚠️ **Important:** The benchmark scores previously listed in this README have been **removed pending verification**. An audit revealed:
-
-- HumanEval & MBPP implementations only had 20 problems (1-4% of full benchmarks)
-- No proper inference logs exist for claimed numbers
-- Tool Use evaluation lacked proper implementation
-
-These scores were **unverifiable** and have been removed.
+## Quickstart
 
-### Current Status
-
-| Benchmark | Status | Notes |
-|-----------|--------|-------|
-| **HumanEval** | Evaluation in progress | Full 164-problem suite |
-| **MBPP** | Evaluation in progress | Full 500-problem suite |
-| **Tool Use** | Benchmark development | Custom tool-calling task |
-| **GSM8K** | Not started | Math reasoning (optional) |
-
-We are rebuilding evaluation infrastructure with proper methodology. See [EVALUATION.md](EVALUATION.md) for the audit report and plan.
-
-**Expected baseline** (based on Qwen2.5-Coder-32B):
-- HumanEval: ~70-72% Pass@1
-- MBPP: ~75-77% Pass@1
-
-Actual fine-tuned results will be published after proper evaluation.
-
----
-
-## 💻 Usage
-
-### Command Line Interface
+### Requirements
 
 ```bash
-# Interactive chat mode
-python stack.py
-
-# Single query
-python stack.py -c "Explain this code..."
-
-# Run benchmarks
-python stack.py --eval all --provider ollama
-
-# Manage patterns
-python stack.py --patterns list
-python stack.py --patterns stats
+pip install transformers>=4.40.0 torch>=2.0.0 accelerate
 ```
 
-### Python API
+### Python Usage
 
 ```python
-from stack_cli.agent import create_agent
-
-# Create agent
-agent = create_agent()
-
-# Chat
-response = agent.process("Write a hello world function")
-print(response.content)
-
-# Use tools
-result = agent.process("List files in current directory")
-```
-
-### Available Tools
-
-Stack 2.9 includes **46 built-in tools** for:
-- File operations (read, write, edit, search, grep, copy, move, delete)
-- Git operations (status, commit, push, pull, branch, log, diff)
-- Code execution (run, test, lint, format, typecheck, server, install)
-- Web (search, fetch, download, check_url, screenshot)
-- Memory (recall, save, list, context_load, project_scan)
-- Task planning (create_task, list_tasks, update_task, delete_task, create_plan, execute_plan)
-
-See [TOOLS.md](TOOLS.md) for complete documentation with examples.
-
----
-
-## 🔄 Pattern Memory Evolution
-
-Stack 2.9's Pattern Memory can **evolve** automatically:
-
-### Auto-Extraction from Git
-
-Mine your Git history for patterns:
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "my-ai-stack/Stack-2-9-finetuned"
+
+# Load model and tokenizer
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Create chat messages
+messages = [
+    {"role": "system", "content": "You are a helpful coding assistant."},
+    {"role": "user", "content": "Write a Python function to calculate fibonacci numbers"}
+]
+
+# Apply chat template
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+
+# Generate
+model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=512,
+    temperature=0.7,
+    do_sample=True
+)
+
+# Decode response
+response = tokenizer.decode(
+    generated_ids[0][len(model_inputs.input_ids[0]):],
+    skip_special_tokens=True
+)
+print(response)
+```
+
+### Interactive Chat
 
 ```bash
-python scripts/extract_patterns_from_git.py \
-    --repo-path . \
-    --output patterns.jsonl \
-    --since-date "2024-01-01"
-```
-
-See `docs/pattern-moat.md` for details.
-
-### Team Sync (Shared Database)
-
-Multiple developers can share patterns via a central PostgreSQL + FastAPI service. Schema and API endpoints documented in `docs/pattern-moat.md`.
-
-### Weight Fusion
-
-Merge LoRA adapters from multiple users with success-rate-weighted averaging:
-
-```bash
-python scripts/merge_lora_adapters.py \
-    --adapters adapter_a.safetensors adapter_b.safetensors \
-    --weights 0.7 0.3 \
-    --output merged.safetensors
+# See chat.py in repository
+python chat.py
 ```
 
 ---
 
-## 🛠️ Training & Fine-Tuning
-
-### Training Options
-
-| Platform | Notebook | Description |
-|----------|----------|-------------|
-| **Google Colab** | `colab_train_stack29.ipynb` | Free T4 GPU, 3-5 hours |
-| **Kaggle** | `kaggle_train_stack29.ipynb` | Free P100 GPU, 2-4 hours |
-| **Local Mac** | `train_local.py` | MPS/Apple Silicon |
-| **Cloud GPUs** | See below | RunPod, Vast.ai, etc |
+## Hardware Requirements
 
-### Quick Training (Colab)
-
-Use the provided notebook for quick prototyping:
-
-```bash
-# Open in Google Colab
-colab_train_stack29.ipynb
-```
-
-Trains a 5K-example mini dataset in 3-5 hours on free T4 GPU.
-
-### Full Training Pipeline
-
-```bash
-# Prepare data (from your sources)
-python scripts/create_mini_dataset.py --size 5000 --output data_mini/train.jsonl
-
-# Train LoRA adapter
-cd stack_2_9_training
-python -m train_lora --config train_config.yaml
-
-# Merge adapter with base model
-python -m merge_adapter --base-model Qwen/Qwen2.5-Coder-32B
-```
-
-### Cloud Training Scripts
-
-For production training on GPUs:
-
-- **RunPod:** `runpod_deploy.sh` — launches A100-80GB instances
-- **Vast.ai:** `vastai_deploy.sh` — finds cheapest suitable instances
-- **Kubernetes:** `k8s/deployment.yaml` — deploy to your K8s cluster
-- **Docker:** `docker-compose.cloud.yaml` — bare-metal GPU servers
-
-See each script for usage instructions.
-
-### Extracting Training Data from Your Codebase
-
-Extract tool patterns from your codebase to train the model:
-
-```bash
-# Extract tool patterns
-python scripts/extract_rtmp_tools.py
-
-# Create advanced examples
-python scripts/extract_rtmp_tools_advanced.py
-```
-
-This creates `data/rtmp-tools/` with tool usage patterns that can be combined with the main training data.
-
-### Kaggle Training
-
-Free GPU training on Kaggle (P100 16GB VRAM):
-
-```bash
-# Open in Kaggle
-kaggle_train_stack29.ipynb
-```
-
-### Local Mac Training (MPS)
-
-For Apple Silicon Macs without GPU cloud access:
-
-```bash
-python train_local.py
-```
-
-### Extracting Tool Patterns from RTMP
-
-Extract training data from your RTMP codebase to teach the model your custom tools:
-
-```bash
-# Extract tool patterns
-python scripts/extract_rtmp_tools.py
-python scripts/extract_rtmp_tools_advanced.py
-
-# Combined data includes 46+ tool patterns
-data/rtmp-tools/combined_tools.jsonl
-```
-
-The combined training data includes:
-- 41,807 code completion examples
-- 59 RTMP tool usage patterns (BashTool, FileReadTool, Task tools, etc.)
+| Configuration | GPU | VRAM |
+|---------------|-----|------|
+| 1.5B (FP16) | RTX 3060+ | ~4GB |
+| 1.5B (8-bit) | RTX 3060+ | ~2GB |
+| 1.5B (4-bit) | Any modern GPU | ~1GB |
+| 1.5B (CPU) | None | ~8GB RAM |
 
 ---
 
-## 🐳 Deployment
-
-### Docker (Local/Cloud)
-
-```bash
-cd stack-2.9-deploy
-docker-compose up -d
-```
-
-### Cloud Platforms
+## Training Details
 
-| Platform | Use Case | Documentation |
-|----------|----------|---------------|
-| **RunPod** | Pay-as-you-go GPU | `runpod_deploy.sh` |
-| **Vast.ai** | Spot instances (cheap) | `vastai_deploy.sh` |
-| **Kubernetes** | Enterprise scale | `k8s/` directory |
-| **HuggingFace Spaces** | Free inference hosting | `docs/free-deployment.md` |
-
-**Hardware requirements:**
-- **7B model:** RTX 3070 (8GB) minimum
-- **32B model:** A100-40GB recommended
-- **Quantized:** 4-bit reduces VRAM by ~50%
+- **Method**: LoRA (Low-Rank Adaptation)
+- **LoRA Rank**: 8
+- **LoRA Alpha**: 16
+- **Target Modules**: All linear layers (q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj)
+- **Epochs**: ~0.8
+- **Final Loss**: 0.0205
+- **Data Source**: Stack Overflow Q&A (Python-heavy)
 
 ---
 
-## 🔧 Configuration
-
-### Environment Variables
-
-| Variable | Required | Description |
-|----------|----------|-------------|
-| `MODEL_PROVIDER` | Yes | `ollama`, `openai`, `anthropic`, `openrouter`, `together` |
-| `OPENAI_API_KEY` | If OpenAI | Your OpenAI API key |
-| `ANTHROPIC_API_KEY` | If Anthropic | Your Anthropic API key |
-| `OPENROUTER_API_KEY` | If OpenRouter | Your OpenRouter API key |
-| `TOGETHER_API_KEY` | If Together | Your Together AI API key |
-| `OLLAMA_MODEL` | If Ollama | Model name (e.g., `qwen2.5-coder:32b`) |
-
-### Configuration File
+## Limitations
 
-Create `stack.yaml` in project root:
-
-```yaml
-model:
-  provider: ollama
-  name: qwen2.5-coder:32b
-  temperature: 0.7
-
-training:
-  lora_rank: 16
-  learning_rate: 3e-4
-  epochs: 3
-
-pattern_memory:
-  enabled: true
-  max_patterns: 10000
-  similarity_threshold: 0.75
-```
+- **Model Size**: At 1.5B parameters, smaller than state-of-the-art models (7B, 32B)
+- **Training Data**: Primarily Python-focused; other languages may have lower quality
+- **Hallucinations**: May occasionally generate incorrect code; verification recommended
+- **No Tool Use**: This is a base model without tool-calling capabilities
 
 ---
 
-## 📁 Project Structure
+## Citation
 
-```
-stack-2.9/
-├── stack_cli/              # CLI interface & agent
-│   ├── cli.py             # Main entry point
-│   ├── agent.py           # AI agent with tools
-│   └── context.py         # Context management
-│
-├── stack_2_9_eval/         # Evaluation framework
-│   ├── model_client.py    # Unified model API
-│   └── benchmarks/        # Benchmark implementations
-│
-├── stack_2_9_training/     # Training scripts
-│   ├── train_lora.py      # LoRA training
-│   ├── merge_adapter.py   # Merge LoRA into base
-│   └── prepare_data.py    # Data preparation
-│
-├── stack_2_9_deploy/       # Deployment configs
-│   ├── docker-compose.yml
-│   └── nginx.conf
-│
-├── scripts/                # Utility scripts
-│   ├── extract_patterns_from_git.py
-│   ├── merge_lora_adapters.py
-│   └── ...
-│
-├── docs/                   # Documentation
-│   ├── pattern-moat.md    # Pattern memory evolution
-│   └── ...
-│
-├── k8s/                    # Kubernetes configs
-│   ├── deployment.yaml
-│   ├── service.yaml
-│   └── secret.yaml
-│
-├── TOOLS.md                # Complete tool reference (46 tools)
-├── README.md               # This file
-├── requirements.txt        # Python dependencies
-├── stack.yaml              # Config (create your own)
-└── colab_train_stack29.ipynb  # Quick training notebook
+```bibtex
+@misc{my-ai-stack/stack-2-9-finetuned,
+  author = {Walid Sobhi},
+  title = {Stack 2.9: Fine-tuned Qwen2.5-Coder-1.5B on Stack Overflow Data},
+  year = {2026},
+  publisher = {HuggingFace},
+  url = {https://huggingface.co/my-ai-stack/Stack-2-9-finetuned}
+}
 ```
 
 ---
 
-## 🤝 Contributing
-
-Contributions are welcome! Please read [CONTRIBUTING.md](CONTRIBUTING.md) before submitting PRs.
+## License
 
-1. Fork the repository
-2. Create feature branch: `git checkout -b feature/amazing-feature`
-3. Commit changes: `git commit -m 'Add amazing feature'`
-4. Push to branch: `git push origin feature/amazing-feature`
-5. Open Pull Request
-
----
-
-## 📄 License
-
-Licensed under the **MIT License**. See [LICENSE](LICENSE) for full text.
-
-### Dependencies
-
-- Base model: Qwen2.5-Coder-32B (Apache 2.0)
-- Training code: HuggingFace Transformers, PEFT, bitsandbytes (Apache 2.0 / BSD)
-- Your modifications: MIT
-
----
-
-## 🙏 Acknowledgments
-
-- [Qwen](https://github.com/Qwen) for Qwen2.5-Coder base model
-- [Hugging Face](https://huggingface.co/) for transformers & PEFT
-- [Ollama](https://ollama.ai/) for local inference platform
-- [Together AI](https://together.ai/) for cloud inference & fine-tuning
-
----
-
-## 📚 Documentation
-
-- [API Reference](docs/reference/API.md)
-- [Architecture](docs/reference/ARCHITECTURE.md)
-- [Setup Guide](docs/guides/SETUP.md)
-- [Evaluation Plan](stack-2.9-eval/HUMAN_EVAL_PLAN.md)
-- [Tool Reference](TOOLS.md)
-- [Pattern Memory Evolution](docs/pattern-moat.md)
+Licensed under the Apache 2.0 license. See [LICENSE](LICENSE) for details.
 
 ---
 
 <p align="center">
-  Built with ❤️ for developers who want an AI that grows with them
-</p>
+  Built with ❤️ for developers
+</p>

chat_local.py

@@ -0,0 +1,79 @@
+"""
+Stack 2.9 - Local Inference Script
+Run the fine-tuned model locally on your machine
+"""
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Model path (your fine-tuned model)
+MODEL_PATH = "/Users/walidsobhi/stack-2-9-final-model"
+
+# Or use HuggingFace Hub version (if you want to test base model)
+# MODEL_PATH = "Qwen/Qwen2.5-Coder-1.5B"
+
+def load_model():
+    """Load model and tokenizer"""
+    print("Loading model...")
+    tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH, trust_remote_code=True)
+
+    model = AutoModelForCausalLM.from_pretrained(
+        MODEL_PATH,
+        torch_dtype=torch.float16,  # Half precision - faster
+        device_map="auto",          # Auto-detect device (GPU/CPU)
+        trust_remote_code=True
+    )
+    print("Model loaded!")
+    return model, tokenizer
+
+def generate(prompt, system_prompt="You are a helpful coding assistant.", max_tokens=512, temperature=0.7):
+    """Generate response from the model"""
+    messages = [
+        {"role": "system", "content": system_prompt},
+        {"role": "user", "content": prompt}
+    ]
+
+    # Apply chat template
+    text = tokenizer.apply_chat_template(
+        messages,
+        tokenize=False,
+        add_generation_prompt=True
+    )
+
+    # Tokenize
+    inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+    # Generate
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=max_tokens,
+        temperature=temperature,
+        do_sample=True,
+        pad_token_id=tokenizer.pad_token_id
+    )
+
+    # Decode - remove input prompt from response
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response[len(text):].strip()
+
+def chat():
+    """Interactive chat loop"""
+    print("\n" + "="*50)
+    print("Stack 2.9 - Local Chat")
+    print("="*50)
+    print("Type 'quit' to exit\n")
+
+    while True:
+        user_input = input("You: ")
+        if user_input.lower() in ['quit', 'exit', 'q']:
+            print("Goodbye!")
+            break
+
+        response = generate(user_input)
+        print(f"\nAssistant: {response}\n")
+
+# Load model once
+model, tokenizer = load_model()
+
+# Run chat
+if __name__ == "__main__":
+    chat()

chat_simple.py

@@ -0,0 +1,46 @@
+"""
+Stack 2.9 - Simple Local Chat
+Run the fine-tuned model locally on your machine
+"""
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+MODEL_PATH = "/Users/walidsobhi/stack-2-9-final-model"
+
+print("Loading model...")
+tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_PATH,
+    torch_dtype=torch.float16,
+    device_map="auto",
+    trust_remote_code=True
+)
+print("Model loaded!\n")
+
+def chat(prompt):
+    messages = [
+        {"role": "system", "content": "You are a helpful coding assistant."},
+        {"role": "user", "content": prompt}
+    ]
+
+    text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=512,
+        temperature=0.7,
+        do_sample=True,
+        pad_token_id=tokenizer.pad_token_id
+    )
+
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response[len(text):].strip()
+
+# Interactive loop
+while True:
+    prompt = input("You: ")
+    if prompt.lower() in ['quit', 'exit']:
+        break
+    print("Thinking...")
+    print(f"Bot: {chat(prompt)}\n")

run_local.py

@@ -0,0 +1,36 @@
+"""
+Stack 2.9 - Local Inference Script
+Run the fine-tuned model locally on your machine
+"""
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Model path
+MODEL_PATH = "/Users/walidsobhi/stack-2-9-final-model"
+
+# Or use HuggingFace Hub
+# MODEL_PATH = "Qwen/Qwen2.5-Coder-1.5B"
+
+print("Loading model...")
+tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_PATH,
+    torch_dtype=torch.float16,
+    device_map="auto",
+    trust_remote_code=True
+)
+print("Model loaded!\n")
+
+def generate(prompt, max_tokens=512, temperature=0.7):
+    messages = [{"role": "user", "content": prompt}]
+    text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+    outputs = model.generate(**inputs, max_new_tokens=max_tokens, temperature=temperature, do_sample=True)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)[len(text):].strip()
+    return response
+
+# Test
+prompt = "Write a Python function to calculate fibonacci numbers"
+print(f"Prompt: {prompt}\n")
+print("Response:", generate(prompt))

src/cli/agent.py

@@ -186,18 +186,48 @@ class ToolSelector:
     
     def select(self, intent: str, context: Dict[str, Any]) -> List[str]:
         """Select tools for given intent."""
-        tools = []
+        # Map string to QueryIntent enum
+        INTENT_MAP = {
+            "file_read": QueryIntent.FILE_READ,
+            "file_write": QueryIntent.FILE_WRITE,
+            "file_edit": QueryIntent.FILE_EDIT,
+            "file_search": QueryIntent.FILE_SEARCH,
+            "git_operation": QueryIntent.GIT_OPERATION,
+            "code_execution": QueryIntent.CODE_EXECUTION,
+            "web_search": QueryIntent.WEB_SEARCH,
+            "memory": QueryIntent.MEMORY,
+            "task": QueryIntent.TASK,
+            "general": QueryIntent.GENERAL,
+        }
         
-        try:
-            intent_enum = QueryIntent(intent)
-            tools = self.INTENT_TOOLS.get(intent_enum, [])
-        except ValueError:
-            tools = []
+        tools = []
+        intent_enum = INTENT_MAP.get(intent)
+        if intent_enum:
+            tools = list(self.INTENT_TOOLS.get(intent_enum, []))
         
-        # Add general tools
-        tools.extend(["run", "context_load", "project_scan"])
+        # For git operations, filter based on query keywords
+        if intent == "git_operation" and context.get("query"):
+            query = context["query"].lower()
+            git_keyword_tools = {
+                "status": ["git_status"],
+                "commit": ["git_commit"],
+                "push": ["git_push"],
+                "pull": ["git_pull"],
+                "branch": ["git_branch"],
+                "log": ["git_log"],
+                "diff": ["git_diff"],
+            }
+            filtered = []
+            for kw, tool_list in git_keyword_tools.items():
+                if kw in query:
+                    filtered.extend(tool_list)
+            # Default to git_status if no specific keyword found but query mentions git
+            if not filtered and "git" in query:
+                filtered = ["git_status"]
+            if filtered:
+                tools = filtered
         
-        return list(set(tools))
+        return tools
     
     def get_tool_parameters(self, tool_name: str, query: str, context: Dict[str, Any]) -> Dict[str, Any]:
         """Extract parameters for a tool from query and context."""
@@ -402,8 +432,8 @@ class StackAgent:
         intent = parsed["intent"]
         confidence = parsed["confidence"]
         
-        # Step 2: Select tools
-        selected_tools = self.tool_selector.select(intent, context)
+        # Step 2: Select tools (pass query in context for smart filtering)
+        selected_tools = self.tool_selector.select(intent, {"query": query, **context})
         tool_params = {}
         
         for tool_name in selected_tools:

src/cli/main.py

@@ -27,6 +27,7 @@ class Stack29CLI:
         self.provider = provider or os.environ.get("MODEL_PROVIDER", "ollama")
         self.model = model or os.environ.get("MODEL_NAME", "")
         self.client = None
+        self.agent = None
         self.miner = PatternMiner()
         self.chat_history = []
 
@@ -71,7 +72,7 @@ class Stack29CLI:
             self.client = None
 
     def chat_mode(self):
-        """Interactive chat mode"""
+        """Interactive chat mode using agent with tool calling"""
         if not self.client:
             print(f"{self.RED}No model connected!{self.END}")
             return
@@ -79,12 +80,11 @@ class Stack29CLI:
         print(f"\n{self.BLUE}=== Chat Mode ==={self.END}")
         print("Type 'exit' to return to menu, 'clear' to clear history\n")
 
-        # System prompt
-        system_msg = ChatMessage(
-            role="system",
-            content="You are Stack 2.9, a helpful AI coding assistant. You help with programming, debugging, and software development."
-        )
-        self.chat_history = [system_msg]
+        # Initialize agent if not done
+        if not hasattr(self, 'agent') or self.agent is None:
+            from cli.agent import StackAgent
+            self.agent = StackAgent(workspace='/Users/walidsobhi/stack-2.9')
+            print(f"{self.GREEN}✓{self.END} Agent initialized")
 
         while True:
             try:
@@ -97,35 +97,21 @@ class Stack29CLI:
                     break
 
                 if user_input.lower() == 'clear':
-                    self.chat_history = [system_msg]
                     print("Chat cleared.\n")
                     continue
 
-                # Add user message
-                self.chat_history.append(ChatMessage(role="user", content=user_input))
-
-                # Generate response
+                # Process through agent (handles tool calling)
                 print(f"{self.BLUE}Stack 2.9:{self.END} ", end="", flush=True)
 
                 try:
-                    result = self.client.chat(
-                        messages=self.chat_history,
-                        temperature=0.7,
-                        max_tokens=2048
-                    )
-
-                    response = result.text
-                    print(response)
-
-                    # Add assistant message
-                    self.chat_history.append(ChatMessage(role="assistant", content=response))
-
-                    # Store in pattern miner for self-evolution
-                    self.miner.store_feedback(
-                        problem_type="chat",
-                        solution=response,
-                        success=True
-                    )
+                    response = self.agent.process(user_input)
+                    print(response.content)
+
+                    if response.tool_calls:
+                        print(f"\n{self.YELLOW}[Tools called: {', '.join(tc.tool_name for tc in response.tool_calls)}]{self.END}")
+
+                except Exception as e:
+                    print(f"{self.RED}Error: {e}{self.END}")
 
                 except Exception as e:
                     print(f"{self.RED}Error: {e}{self.END}")

src/cli/tools.py

@@ -681,30 +681,38 @@ def tool_web_search(
     freshness: Optional[str] = None,
     language: Optional[str] = None
 ) -> Dict[str, Any]:
-    """Search the web using Brave Search API."""
+    """Search the web using DuckDuckGo."""
     try:
-        # Try to use brave search CLI if available, otherwise use placeholder
-        result = subprocess.run(
-            ["brave-search", query, "--count", str(count)],
-            capture_output=True,
-            text=True,
-            timeout=30
-        )
-        
-        if result.returncode == 0:
-            return {"success": True, "results": json.loads(result.stdout)}
-        
-        # Fallback: simulate search (in real implementation, use API)
+        import urllib.request
+        import urllib.parse
+        import re
+        from html import unescape
+
+        # DuckDuckGo Lite
+        encoded_query = urllib.parse.quote(query)
+        url = f"https://lite.duckduckgo.com/lite/?q={encoded_query}"
+
+        req = urllib.request.Request(url, headers={
+            'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36'
+        })
+        with urllib.request.urlopen(req, timeout=30) as response:
+            html = response.read().decode('utf-8')
+
+        results = []
+        # Find links - look for anchor tags with titles
+        all_links = re.findall(r'<a[^>]*href="(https?://[^"]+)"[^>]*>([^<]+)</a>', html)
+
+        for url, title in all_links[:count]:
+            title = unescape(title).strip()
+            if title and len(title) > 3:
+                results.append({"title": title, "url": url})
+
         return {
             "success": True,
             "query": query,
-            "results": [
-                {"title": f"Result for: {query}", "url": f"https://example.com/{i}"}
-                for i in range(count)
-            ]
+            "results": results[:count],
+            "count": len(results)
         }
-    except FileNotFoundError:
-        return {"success": False, "error": "brave-search CLI not found"}
     except Exception as e:
         return {"success": False, "error": str(e)}
 

stack/training/pattern_miner.py

@@ -51,7 +51,7 @@ class PatternMiner:
 
     # Pattern type keywords
     PATTERN_TYPES = {
-        "recursion": [r"def\s+\w+\s*\([^)]*\):\s*.*\1\(", r"return\s+.*\1\("],
+        "recursion": [r"def\s+(\w+)\s*\([^)]*\):\s*.*\1\(", r"return\s+(\w+)\s*\([^)]*\)\s*\1\("],
         "iteration": [r"for\s+", r"while\s+"],
         "list_comprehension": [r"\[.*for.*in.*\]"],
         "dictionary": [r"\{\w+:", r"dict\(", r"defaultdict\("],

stack/training/patterns/feedback.json

@@ -0,0 +1,1202 @@
+[
+  {
+    "id": "c297e871f03a3ab8",
+    "problem_type": "chat",
+    "solution": "Hello world! \ud83d\udc4b\n\nWelcome! I'm here to help you with programming, debugging, and software development. Whether you're working on code, need help debugging an issue, or have questions about software development, feel free to ask!\n\nWhat can I help you with today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:20:45.199197",
+    "model_version": null
+  },
+  {
+    "id": "73a001e06a4ca4a4",
+    "problem_type": "chat",
+    "solution": "# Invalid Group Reference Error\n\nThis error occurs in **regular expressions (regex)** when you reference a capture group that doesn't exist.\n\n## Common Causes\n\n### 1. Referencing a group that wasn't created\n```regex\n# \u274c Error: Only one group, but referencing \\2\n(\\w+)\\2\n\n# \u2705 Fixed: Reference matches the number of groups\n(\\w+)\\1\n```\n\n### 2. Wrong escape sequence\n```python\n# In Python strings, need double backslash\npattern = r\"(\\w+)\\1\"  # \u2705 Correct\npattern = \"(\\w+)\\1\"   # \u274c Might cause issues\n```\n\n### 3. Replacement string referencing non-existent group\n```python\nimport re\ntext = \"hello\"\n# \u274c Error: $2 doesn't exist\nre.sub(r'(\\w+)', text, '$2')  \n```\n\n---\n\n## To help you fix it, please share:\n\n1. **What language/tool** are you using? (Python, JavaScript, grep, etc.)\n2. **Your regex pattern** (or the code causing the error)\n\nThen I can give you a specific fix! \ud83d\ude42",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:23:03.254279",
+    "model_version": null
+  },
+  {
+    "id": "38e31f7cb9ce0f9b",
+    "problem_type": "chat",
+    "solution": "Yes, I can definitely help you with coding! Here's what I can assist with:\n\n## What I Can Help With\n\n- **Writing code** - Create new programs, functions, or scripts\n- **Debugging** - Find and fix errors in your code\n- **Explaining concepts** - Programming concepts, algorithms, best practices\n- **Code review** - Suggest improvements\n- **Learning** - Help you understand new languages or frameworks\n\n## How to Get Started\n\nTell me:\n\n1. **What language** are you working with? (Python, JavaScript, Java, C++, etc.)\n2. **What do you want to build?** Or what's the problem you're trying to solve?\n3. **What's your current situation?** (Starting from scratch, have partial code, getting an error, etc.)\n\n## Example Questions\n\n- \"How do I write a function to check if a number is prime in Python?\"\n- \"I'm getting this error: [paste error] - can you help fix it?\"\n- \"What's the best way to structure a REST API?\"\n- \"Can you explain how recursion works?\"\n\n---\n\nWhat do you need help with? \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:33:15.703642",
+    "model_version": null
+  },
+  {
+    "id": "efa7fffdb93a878d",
+    "problem_type": "chat",
+    "solution": "Here's a breakdown of my capabilities:\n\n## Core Capabilities\n\n| Category | What I Can Do |\n|----------|---------------|\n| **Writing Code** | Create scripts, apps, functions, APIs, algorithms from scratch |\n| **Debugging** | Find & fix bugs, explain error messages, suggest solutions |\n| **Explaining** | Break down concepts, syntax, best practices |\n| **Code Review** | Improve readability, performance, security |\n| **Refactoring** | Simplify, restructure, or modernize code |\n| **Testing** | Write unit tests, integration tests |\n| **Database** | Query design, SQL, ORMs |\n| **DevOps** | Docker, CI/CD, deployment scripts |\n\n## Languages I Know\n\n- Python, JavaScript/TypeScript, Java, C/C++, C#\n- Go, Rust, Ruby, PHP, Swift, Kotlin\n- HTML/CSS, SQL, Bash/Shell\n- And many frameworks/libraries for these\n\n## Other Abilities\n\n- **Read your code** - Paste it and I'll analyze it\n- **Write files** - I can generate code files for you\n- **Explain errors** - Just paste the error message\n- **Suggest improvements** - Best practices, performance tips\n- **Help you learn** - Step-by-step explanations\n\n---\n\n\u2753 **What would you like to build or work on?** Just tell me the language and goal, and I'll get started!",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:34:06.931741",
+    "model_version": null
+  },
+  {
+    "id": "8da6e2a8afa87871",
+    "problem_type": "chat",
+    "solution": "I'd be happy to help with container logs! It looks like your message got cut off.\n\nPlease share:\n\n1. **The logs** - Paste the container log output\n2. **What container** - Docker, Kubernetes, or a specific platform?\n3. **The issue** - What problem are you seeing? (error, crash, slow performance, etc.)\n\nOnce you paste the logs, I can help you:\n\n- Find errors or warnings\n- Understand what happened\n- Suggest fixes\n\nGo ahead and paste the logs! \ud83d\udccb",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:36:04.728707",
+    "model_version": null
+  },
+  {
+    "id": "fc9253dc2669630a",
+    "problem_type": "chat",
+    "solution": "Thanks for sharing! That's the startup log showing the application started at **2026-04-07 17:27:14**.\n\nTo help you, I need a bit more:\n\n1. **Is there more log output after this line?** (errors, warnings, exceptions)\n2. **Is the application working correctly?** Or is something wrong?\n3. **What are you trying to do?** (debug an issue, check performance, etc.)\n\nIf there are errors or warnings, please paste those - that's usually where the useful info is! \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:36:12.299615",
+    "model_version": null
+  },
+  {
+    "id": "c37e8ae597f8e800",
+    "problem_type": "chat",
+    "solution": "That's the tokenizer loading for your fine-tuned model: **`my-ai-stack/stack-2-9-finetuned`**\n\nThis looks like an AI/LLM application (likely using Hugging Face Transformers or similar).\n\n**Questions:**\n\n1. **Is there more log output?** (Any errors after this?)\n2. **What's the current issue?**\n   - Application not starting?\n   - Not responding?\n   - Getting errors when making requests?\n3. **What are you trying to do?** (Debug, optimize, deploy, etc.)\n\nIf it's working fine and you just want to understand - the app is loading:\n- Tokenizer (converts text to tokens)\n- Likely next: loading the model weights\n\nLet me know if there's a problem or what you need help with! \ud83e\udd16",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:36:25.156315",
+    "model_version": null
+  },
+  {
+    "id": "d32c039610423697",
+    "problem_type": "chat",
+    "solution": "I see there's an error! Please paste the **full traceback** so I can help debug it.\n\nThe traceback will show:\n- The error type (like `ValueError`, `FileNotFoundError`, etc.)\n- The line of code causing the issue\n- The full stack trace\n\nGo ahead and paste the complete error output! \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:36:39.723739",
+    "model_version": null
+  },
+  {
+    "id": "b4fa9932fbd08b78",
+    "problem_type": "chat",
+    "solution": "That's from the Hugging Face Hub library. I need to see the **full traceback** to diagnose the issue.\n\nPlease paste everything from:\n\n```\nTraceback (most recent call last):\n```\n\nthrough the end of the error message.\n\nThis will show:\n- The actual error (like `RepositoryNotFoundError`, `HTTPError`, etc.)\n- What was trying to be loaded\n- The root cause\n\nGo ahead and paste the complete error! \ud83d\udccb",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:36:43.074492",
+    "model_version": null
+  },
+  {
+    "id": "41ddd6a6c7ae8011",
+    "problem_type": "chat",
+    "solution": "I need to see the **complete traceback** to help you. Please paste **everything** from:\n\n```\nTraceback (most recent call last):\n```\n\nto the very end of the error message.\n\nSo far I can see it's an HTTP error from Hugging Face Hub, but I need to know:\n- **What error** - like `RepositoryNotFoundError`, `HTTPError`, `401`, etc.\n- **Which file/model** is failing\n- **The full stack trace**\n\nPlease copy and paste the **entire** error output! \ud83d\udc1b",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:36:45.781843",
+    "model_version": null
+  },
+  {
+    "id": "f50cc1715a457f80",
+    "problem_type": "chat",
+    "solution": "I understand, but I still need the **full** traceback. Please paste **everything** from the error.\n\nSpecifically, I need to see:\n\n1. **The error type** (at the very end, like `HTTPError`, `RepositoryNotFoundError`, `FileNotFoundError`)\n2. **The error message** (the actual error text)\n3. **All the lines** in between\n\nFor example, it should look something like:\n\n```\nHTTPError: 404 Client Error: Not Found for url: https://huggingface.co/api/models/my-ai-stack/stack-2-9-finetuned\n```\n\nOr:\n\n```\nRepositoryNotFoundError: 404 Repo Not Found: my-ai-stack/stack-2-9-finetuned\n```\n\nPlease copy and paste the **complete error** - including the error type and message at the bottom. That will tell me exactly what's wrong! \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:36:49.149810",
+    "model_version": null
+  },
+  {
+    "id": "5078fe926520f6fe",
+    "problem_type": "chat",
+    "solution": "I still need the **full error** to help you. Please paste **everything** from the traceback.\n\nThe most important part is at the very **end** - it will look something like:\n\n```\nHTTPError: 404 Client Error: Not Found for url: ...\n```\n\nOr:\n\n```\nRepositoryNotFoundError: 404 Repo Not Found: ...\n```\n\n**Please copy and paste the complete error starting from `Traceback` all the way to the last line.**\n\nIf you're not sure what to paste, just copy everything you see in the terminal/logs and paste it here. That will give me the full picture! \ud83d\udc1b",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:07.438959",
+    "model_version": null
+  },
+  {
+    "id": "181837b9f7742818",
+    "problem_type": "chat",
+    "solution": "Now I can see the issue! \ud83c\udfaf\n\n## The Problem\n\n```\nHTTPError: 404 Client Error: Not Found\n```\n\nThe model **`my-ai-stack/Stack-2-9-finetuned`** cannot be found on Hugging Face.\n\nThe URL being requested:\n```\nhttps://huggingface.co/my-ai-stack/Stack-2-9-finetuned/resolve/main/config.json\n```\n\n## Possible Causes\n\n| Issue | Solution |\n|-------|----------|\n| **Model doesn't exist** | Check if the model name is correct |\n| **Case sensitivity** | Hugging Face URLs are case-sensitive |\n| **Model is private** | Add your HF token or set repo as public |\n| **Not uploaded yet** | Push the model to Hugging Face first |\n\n## How to Fix\n\n1. **Verify the model name** on Hugging Face:\n   - Go to: `https://huggingface.co/my-ai-stack/Stack-2-9-finetuned`\n   - Does it exist?\n\n2. **Check case** - the URL shows `Stack-2-9-finetuned` (capital S)\n\n3. **If it's your model** - make sure you've uploaded it:\n   ```python\n   model.push_to_hub(\"my-ai-stack/Stack-2-9-finetuned\")\n   tokenizer.push_to_hub(\"my-ai-stack/Stack-2-9-finetuned\")\n   ```\n\n---\n\n**Does this model exist on your Hugging Face account?** Let me know and I can help you fix it! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:12.397306",
+    "model_version": null
+  },
+  {
+    "id": "4a5d145fe5e0e83e",
+    "problem_type": "chat",
+    "solution": "Got it - there's another exception caused by the 404 error!\n\nPlease paste the **rest of the error** - the exception that was raised **because** of the 404.\n\nIt should look something like:\n\n```\nRuntimeError: ... \nOSError: ...\nValueError: ...\n```\n\nOr it might be:\n\n```\nOSError: Unable to load model... \n```\n\nPlease paste the remaining lines so I can see the full picture and help you fix it! \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:21.760830",
+    "model_version": null
+  },
+  {
+    "id": "20e828d8ad91e117",
+    "problem_type": "chat",
+    "solution": "Go ahead and paste the rest of the error! \ud83d\udccb",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:34.103609",
+    "model_version": null
+  },
+  {
+    "id": "0ea3b589897f70b1",
+    "problem_type": "chat",
+    "solution": "I see it's coming from the `transformers` library (line 398 in `hub.py`).\n\nKeep posting the rest - I need to see the **final error message** at the very bottom. It should say something like:\n\n```\nOSError: ...\nRuntimeError: ...\n```\n\nOr it might be:\n\n```\nOSError: Unable to load model...\n```\n\nGo ahead and paste the remaining lines! \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:37.618424",
+    "model_version": null
+  },
+  {
+    "id": "57398745402f66ba",
+    "problem_type": "chat",
+    "solution": "I see it's trying to download the file via `hf_hub_download`.\n\nPlease keep pasting the remaining lines - I need to see the **final error** (the actual exception that caused the crash). It should be at the very bottom.\n\nThe final lines will look something like:\n\n```\nOSError: ... \nRuntimeError: ... \n```\n\nOr:\n\n```\nOSError: Unable to load config.json...\n```\n\nJust paste the rest and we'll get to the bottom of this! \ud83d\udc1b",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:39.674500",
+    "model_version": null
+  },
+  {
+    "id": "9f585be15d388274",
+    "problem_type": "chat",
+    "solution": "I see it's going through the Hugging Face validation process.\n\nKeep posting! We're getting close to the end. I need to see the **final exception** - the actual error message at the very bottom.\n\nIt should end with something like:\n\n```\nOSError: ...\n```\n\nOr:\n\n```\nOSError: 404 Client Error...\n```\n\nJust a few more lines! \ud83d\udccb",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:41.727360",
+    "model_version": null
+  },
+  {
+    "id": "9de1f861c08df157",
+    "problem_type": "chat",
+    "solution": "I need the **final error message** at the very bottom of the traceback.\n\nIt should look like:\n\n```\nOSError: Unable to load config.json for model my-ai-stack/Stack-2-9-finetuned\n```\n\nOr:\n\n```\nOSError: ... \n```\n\n**Please copy and paste just the last 2-3 lines** - that's where the actual error message is. That's what I need to help you fix it! \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:43.695329",
+    "model_version": null
+  },
+  {
+    "id": "b9860b5eb6cfb172",
+    "problem_type": "chat",
+    "solution": "We're getting close to the end! Just a few more lines to go.\n\nThe **final error message** should be at the very bottom - it will look something like:\n\n```\nOSError: ...\n```\n\nOr:\n\n```\nOSError: 404 Client Error: Not Found for url: ...\n```\n\n**Please just copy the last 2-3 lines** of the entire error output and paste them here. That's all I need to give you the solution! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:45.455236",
+    "model_version": null
+  },
+  {
+    "id": "dc10600b0f08cbd2",
+    "problem_type": "chat",
+    "solution": "We're almost at the end! Just need the **final error message** at the very bottom.\n\nIt should end with something like:\n\n```\nOSError: ...\n```\n\nOr:\n\n```\nOSError: 404 Client Error: Not Found\n```\n\n**Please paste just the last 2 lines** of the entire error - that's where the actual exception message lives. That's what I need to help you! \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:48.121262",
+    "model_version": null
+  },
+  {
+    "id": "9b16746a0b1daeaa",
+    "problem_type": "chat",
+    "solution": "We're almost there! I just need the **very last line** of the error - that's where the actual exception is.\n\nIt should look like:\n\n```\nOSError: ... \n```\n\nOr:\n\n```\nOSError: 404 Client Error: Not Found\n```\n\n**Please copy and paste ONLY the last line** of the error. That's the key piece I need! \ud83d\udc1b",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:51.364159",
+    "model_version": null
+  },
+  {
+    "id": "a7d07328cb736154",
+    "problem_type": "chat",
+    "solution": "Just need the **very last line** of the error! That's where the actual exception message is.\n\nIt should look like:\n\n```\nOSError: ...\n```\n\nOr:\n\n```\nOSError: 404 Client Error: Not Found for url: ...\n```\n\n**Please paste ONLY the last line** - I promise that's all I need! \ud83c\udfaf",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:54.186523",
+    "model_version": null
+  },
+  {
+    "id": "c47745f548b7b5c2",
+    "problem_type": "chat",
+    "solution": "We're almost at the end! I just need the **final line** of the error - that's where the exception message is.\n\nIt should be something like:\n\n```\nOSError: 404 Client Error: Not Found\n```\n\n**Please paste ONLY the last line** - that's the actual error I need to help you! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:37:56.451576",
+    "model_version": null
+  },
+  {
+    "id": "96f28fcbfc925b5c",
+    "problem_type": "chat",
+    "solution": "Getting close! Just need the **very last line** - that's where the actual exception message is.\n\nIt should be something like:\n\n```\nOSError: 404 Client Error: Not Found\n```\n\n**Please paste ONLY the last line** of the entire error! \ud83d\udccb",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:01.854841",
+    "model_version": null
+  },
+  {
+    "id": "1a4b1eb2ac8d2d9c",
+    "problem_type": "chat",
+    "solution": "Almost there! Just need the **final line** - that's where the actual exception message appears.\n\nIt will look like:\n\n```\nOSError: 404 Client Error: Not Found for url: ...\n```\n\n**Please paste ONLY the last line!** \ud83c\udfaf",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:06.408628",
+    "model_version": null
+  },
+  {
+    "id": "3f952ad13d785d65",
+    "problem_type": "chat",
+    "solution": "We're very close! Just need the **last line** of the entire error - that's the actual exception message.\n\nIt should look like:\n\n```\nOSError: 404 Client Error: Not Found for url: https://huggingface.co/...\n```\n\n**Please paste ONLY the very last line** - that's the error I need to help you fix! \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:09.950555",
+    "model_version": null
+  },
+  {
+    "id": "5fe6546c302101a1",
+    "problem_type": "chat",
+    "solution": "We're at the end of the traceback now! Just need the **final line** - the actual error message.\n\nIt should be something like:\n\n```\nOSError: 404 Client Error: Not Found for url: ...\n```\n\n**Please paste ONLY the last line** of the entire error - that's the exception message! \ud83d\udc1b",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:13.466904",
+    "model_version": null
+  },
+  {
+    "id": "282077b4f5c3b402",
+    "problem_type": "chat",
+    "solution": "We're at the end! Just need the **very last line** - that's the actual error message.\n\nIt should look like:\n\n```\nOSError: 404 Client Error: Not Found for url: ...\n```\n\n**Please paste ONLY the last line** - that's the exception! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:17.475412",
+    "model_version": null
+  },
+  {
+    "id": "d35b0c41bb42bff8",
+    "problem_type": "chat",
+    "solution": "I think we're at the very end now! Please just paste the **last 1-2 lines** - that's where the exception message is.\n\nIt should look like:\n\n```\nHTTPError: 404 Client Error: Not Found for url: ...\n```\n\nOr:\n\n```\nrequests.exceptions.HTTPError: 404 Client Error: Not Found for url: ...\n```\n\n**Please paste just the final error line!** \ud83c\udfaf\n\n---\n\nBased on everything I've seen so far, the issue is clear:\n\n> **The model `my-ai-stack/Stack-2-9-finetuned` doesn't exist on Hugging Face**\n\nThis is causing the 404 error when trying to load `config.json`. \n\n**Solutions:**\n1. Verify the model name exists on Hugging Face\n2. Check for case sensitivity (the URL shows `Stack` with capital S)\n3. Make sure you've uploaded the model first\n\nLet me know if you need help with any of these! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:23.217157",
+    "model_version": null
+  },
+  {
+    "id": "318fd3255ff75af5",
+    "problem_type": "chat",
+    "solution": "Almost! Just need the **final line** - the actual error message.\n\nIt should end with something like:\n\n```\nrequests.exceptions.HTTPError: 404 Client Error: Not Found for url: ...\n```\n\n**Please paste the very last line!** \ud83d\udccb\n\n---\n\nBased on everything I've seen, I'm confident the issue is:\n\n> **The model `my-ai-stack/Stack-2-9-finetuned` cannot be found on Hugging Face (404 error)**\n\nThis is why it's failing to load `config.json`.\n\n**Quick fixes:**\n1. Check if the model exists at: `https://huggingface.co/my-ai-stack/Stack-2-9-finetuned`\n2. Verify the exact name/spelling\n3. Make sure it's been uploaded if it's your model\n\nLet me know what you find! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:29.254737",
+    "model_version": null
+  },
+  {
+    "id": "f984ebd81211d6b5",
+    "problem_type": "chat",
+    "solution": "We're very close to the end! Just need the **last line** - the actual exception message.\n\nIt should look like:\n\n```\nrequests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/...\n```\n\n**Please paste ONLY the final error line!** \ud83d\udd0d\n\n---\n\nOr if you'd prefer, you can just tell me:\n\n**What's the final error message?** (it should say something like \"HTTPError: 404 Client Error...\")\n\nBased on everything I've seen, the model `my-ai-stack/Stack-2-9-finetuned` doesn't exist on Hugging Face, which is causing this 404 error. Let me know how you'd like to proceed! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:32.455257",
+    "model_version": null
+  },
+  {
+    "id": "9d945acf79be8099",
+    "problem_type": "chat",
+    "solution": "Got it - I can see it's raising an `EntryNotFoundError`!\n\nThat confirms the issue:\n\n> **EntryNotFoundError: The model `my-ai-stack/Stack-2-9-finetuned` was not found**\n\n---\n\n## Summary\n\nThe model **doesn't exist** on Hugging Face, causing the 404 error when trying to load:\n- `config.json`\n- The tokenizer\n\n## Fixes\n\n| Option | What to Do |\n|--------|------------|\n| **1. Check name** | Verify the exact model name at `https://huggingface.co/my-ai-stack/Stack-2-9-finetuned` |\n| **2. Upload model** | If it's your model, push it to Hugging Face first |\n| **3. Use different model** | Try a different model that exists |\n\n---\n\n**What would you like to do?**\n- Fix the model name?\n- Upload the model to Hugging Face?\n- Use a different model?\n\nLet me know and I'll help! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:35.652366",
+    "model_version": null
+  },
+  {
+    "id": "b816a751f911837b",
+    "problem_type": "chat",
+    "solution": "Now I have the **complete error**:\n\n```\nEntryNotFoundError: 404 Client Error. (Request ID: Root=1-69d53eb7-1f7c2ba369c4e5680f40f06b...)\n```\n\n---\n\n## \u2705 Confirmed Issue\n\n**The model `my-ai-stack/Stack-2-9-finetuned` does NOT exist on Hugging Face.**\n\nThat's why you're getting a 404 error when trying to load:\n- `config.json`\n- Tokenizer\n\n---\n\n## \ud83d\udd27 Solutions\n\n| Option | Steps |\n|--------|-------|\n| **1. Verify model exists** | Go to `https://huggingface.co/my-ai-stack/Stack-2-9-finetuned` in your browser |\n| **2. Upload the model** | If it's your fine-tuned model, push it to Hugging Face first |\n| **3. Use a different model** | Load a model that already exists on Hugging Face |\n| **4. Check spelling/case** | Make sure the model name matches exactly |\n\n---\n\n**Do you want me to help you with any of these?**\n- Upload the model to Hugging Face?\n- Use a different pre-trained model?\n- Debug something else?\n\nLet me know! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:48.157403",
+    "model_version": null
+  },
+  {
+    "id": "819084606f8f913e",
+    "problem_type": "chat",
+    "solution": "Perfect - now I have the **complete error**:\n\n```\nEntryNotFoundError: Entry Not Found for url: https://huggingface.co/my-ai-stack/Stack-2-9-finetuned/resolve/main/config.json\n```\n\n---\n\n## \u2705 Confirmed\n\n**The model `my-ai-stack/Stack-2-9-finetuned` does NOT exist on Hugging Face.**\n\nThe URL is trying to find `config.json` in that repository, but the repo doesn't exist.\n\n---\n\n## \ud83d\udd27 How to Fix\n\n| Option | What to Do |\n|--------|------------|\n| **1. Create/push the model** | If it's your model, upload it to Hugging Face first |\n| **2. Check the name** | Verify the exact spelling at `https://huggingface.co/my-ai-stack/` |\n| **3. Use a different model** | Try an existing model like `meta-llama/Llama-2-7b-hf` or `gpt2` |\n\n---\n\n**Which would you like help with?**\n\n1. **Upload your fine-tuned model** to Hugging Face?\n2. **Use a different model** that's already available?\n3. **Check your Hugging Face account** for the correct model name?\n\nLet me know! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:53.170926",
+    "model_version": null
+  },
+  {
+    "id": "bef65bb3acc5b4b2",
+    "problem_type": "chat",
+    "solution": "Got it - there's **another exception** caused by the EntryNotFoundError!\n\nPlease paste the **remaining exception** - it should be the final error that crashed the application.\n\nIt might look like:\n\n```\nRuntimeError: ... \nOSError: ...\nValueError: ...\n```\n\nOr:\n\n```\nOSError: Unable to load model...\n```\n\nPlease paste the rest! \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:38:56.744024",
+    "model_version": null
+  },
+  {
+    "id": "5d965144cf4fa935",
+    "problem_type": "chat",
+    "solution": "Go ahead and paste the rest! \ud83d\udccb",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:39:00.161488",
+    "model_version": null
+  },
+  {
+    "id": "bd2688f4a18bbda9",
+    "problem_type": "chat",
+    "solution": "I see! The error is coming from your application at **`/app/app.py` line 21**.\n\nKeep posting - I need to see the final exception so I can help you fix it! \ud83d\udccb",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:39:13.876854",
+    "model_version": null
+  },
+  {
+    "id": "6fc5740c1eaa5bb5",
+    "problem_type": "chat",
+    "solution": "I see! The error is at:\n\n```python\ntokenizer = AutoTokenizer.from_pretrained(\"my-ai-stack/stack-2-9-finetuned\")\n```\n\nThis is in your **`/app/app.py` line 21**.\n\nThis confirms it's trying to load the tokenizer from the model that doesn't exist.\n\n---\n\nPlease paste the **final exception** - the actual error that crashed the app. It should be at the very end and look like:\n\n```\nOSError: ...\nRuntimeError: ...\n```\n\nOr:\n\n```\nOSError: Unable to load tokenizer for model...\n```\n\nLet me see the final error and then I can help you fix the code! \ud83d\udd27",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:39:19.353458",
+    "model_version": null
+  },
+  {
+    "id": "7996d4ef72ecb6fe",
+    "problem_type": "chat",
+    "solution": "The error is in the `transformers` library - it's trying to load the tokenizer automatically.\n\nJust need the **final exception** at the very end! It should be something like:\n\n```\nOSError: Unable to load tokenizer...\n```\n\nOr:\n\n```\nValueError: ...\n```\n\nPlease paste the very last line! \ud83c\udfaf",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:39:27.809043",
+    "model_version": null
+  },
+  {
+    "id": "d71810e952f217c7",
+    "problem_type": "chat",
+    "solution": "Getting close! Just need the **final exception** at the very end - that's the actual error that crashed your app.\n\nIt should be something like:\n\n```\nOSError: Unable to load config...\n```\n\nOr:\n\n```\nValueError: ...\n```\n\n**Please paste the last line!** \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:39:30.389226",
+    "model_version": null
+  },
+  {
+    "id": "87888748cc0fbba7",
+    "problem_type": "chat",
+    "solution": "Almost at the end! Just need the **final exception** - the actual error message at the very bottom.\n\nIt should be something like:\n\n```\nOSError: Unable to load config...\n```\n\nOr:\n\n```\nEntryNotFoundError: ...\n```\n\n**Please paste the last line!** \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:39:38.852906",
+    "model_version": null
+  },
+  {
+    "id": "7f40d478ab55e139",
+    "problem_type": "chat",
+    "solution": "We're very close to the end! Just need the **final exception** - that's the actual error that crashed your app.\n\nIt should be at the very bottom and look like:\n\n```\nOSError: Unable to load config...\nEntryNotFoundError: ...\n```\n\n**Please paste the last line!** \ud83c\udfaf",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:39:42.000169",
+    "model_version": null
+  },
+  {
+    "id": "6d28e1dcc106a478",
+    "problem_type": "chat",
+    "solution": "Just one more line! The **final exception** at the very bottom is what crashed the app.\n\nIt should look like:\n\n```\nOSError: Entry Not Found for url: ...\n```\n\nOr:\n\n```\nEntryNotFoundError: 404 Client Error...\n```\n\n**Please paste the very last line!** \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:39:50.558629",
+    "model_version": null
+  },
+  {
+    "id": "847fb02fc9cf2b73",
+    "problem_type": "chat",
+    "solution": "Just one more line! The **final exception** is at the very end.\n\nIt should look like:\n\n```\nOSError: Entry Not Found for url: ...\n```\n\nOr:\n\n```\nEntryNotFoundError: 404 Client Error...\n```\n\n**Please paste the last line!** \ud83d\udccb",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:40:04.340447",
+    "model_version": null
+  },
+  {
+    "id": "9bbb294443924a98",
+    "problem_type": "chat",
+    "solution": "We're at the very end! The final exception should be right after this line.\n\n**Please paste the last 1-2 lines** - that's the actual error that crashed your application! \ud83c\udfaf",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:40:06.726906",
+    "model_version": null
+  },
+  {
+    "id": "37a77769aed7f06d",
+    "problem_type": "chat",
+    "solution": "Just need the **final line**! The actual exception message should be right after this.\n\nIt should be something like:\n\n```\nOSError: Entry Not Found for url: https://huggingface.co/...\nEntryNotFoundError: 404 Client Error...\n```\n\n**Please paste ONLY the last line!** \ud83d\udd0d",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:40:10.414393",
+    "model_version": null
+  },
+  {
+    "id": "25cb842879d9cc14",
+    "problem_type": "chat",
+    "solution": "We're at the very end! The final exception should be the last line.\n\n**Please paste ONLY the last line** - that's the error that crashed your app! \ud83d\ude80\n\n---\n\nIn the meantime, based on everything I've seen, here's the summary:\n\n## \u2705 Problem Identified\n\nYour code at `/app/app.py` line 21:\n```python\ntokenizer = AutoTokenizer.from_pretrained(\"my-ai-stack/stack-2-9-finetuned\")\n```\n\n**The model `my-ai-stack/stack-2-9-finetuned` doesn't exist on Hugging Face.**\n\n## \ud83d\udd27 Quick Fix\n\nChange your code to use a model that actually exists:\n\n```python\n# Option 1: Use a different model\ntokenizer = AutoTokenizer.from_pretrained(\"gpt2\")\n\n# Option 2: Use the correct model name (if you have one)\ntokenizer = AutoTokenizer.from_pretrained(\"your-actual-model-name\")\n```\n\n---\n\nLet me know if you need help with the final error line or fixing the code! \ud83c\udfaf",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:40:16.674939",
+    "model_version": null
+  },
+  {
+    "id": "2acabb4c5adb03fc",
+    "problem_type": "chat",
+    "solution": "Got it - an `EnvironmentError`! Just need the **final line** - that's the actual error message.\n\nIt should look like:\n\n```\nEnvironmentError: Entry Not Found for url: https://huggingface.co/my-ai-stack/Stack-2-9-finetuned/...\n```\n\n**Please paste the last line!** \ud83c\udfaf\n\n---\n\nI've already identified the issue:\n\n## \u2705 Final Summary\n\n**Your model `my-ai-stack/stack-2-9-finetuned` does NOT exist on Hugging Face** \u2192 404 error \u2192 EnvironmentError\n\n**Fix:** Either:\n1. Use a model that exists (like `gpt2`, `meta-llama/Llama-2-7b-hf`)\n2. Upload your model to Hugging Face first\n3. Fix the model name if it's a typo\n\nLet me know if you need help fixing `/app/app.py`! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:40:25.249186",
+    "model_version": null
+  },
+  {
+    "id": "edeffcdcd7db09ea",
+    "problem_type": "chat",
+    "solution": "Now I have the **complete error**! \ud83c\udf89\n\n```\nOSError: my-ai-stack/stack-2-9-finetuned does not appear to have a file named config.json. \nCheckout 'https://huggingface.co/my-ai-stack/stack-2-9-finetuned/main' for available files.\n```\n\n---\n\n## \u2705 Problem Confirmed\n\n**The model `my-ai-stack/stack-2-9-finetuned` does NOT exist on Hugging Face.**\n\n---\n\n## \ud83d\udd27 Solutions\n\n### Option 1: Use an existing model\nChange your code in `/app/app.py` to use a model that exists:\n\n```python\n# Use GPT-2 (free, works out of the box)\ntokenizer = AutoTokenizer.from_pretrained(\"gpt2\")\n\n# Or Llama-2 (requires approval)\ntokenizer = AutoTokenizer.from_pretrained(\"meta-llama/Llama-2-7b-hf\")\n```\n\n### Option 2: Upload your model first\nIf this is your fine-tuned model, upload it to Hugging Face:\n\n```python\nfrom transformers import AutoTokenizer, AutoModelForCausalLM\n\nmodel = AutoModelForCausalLM.from_pretrained(\"your-local-model\")\ntokenizer = AutoTokenizer.from_pretrained(\"your-local-model\")\n\n# Push to Hub\nmodel.push_to_hub(\"my-ai-stack/stack-2-9-finetuned\")\ntokenizer.push_to_hub(\"my-ai-stack/stack-2-9-finetuned\")\n```\n\n### Option 3: Fix the model name\nCheck your Hugging Face account for the correct model name.\n\n---\n\n**Which option would you like help with?** \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:40:33.902835",
+    "model_version": null
+  },
+  {
+    "id": "7d684dac427f0ede",
+    "problem_type": "chat",
+    "solution": "It looks like the application is trying to load the **same model** that doesn't exist.\n\n---\n\n## Current Status\n\nThe app is still trying to load:\n```\nmy-ai-stack/stack-2-9-finetuned\n```\n\nBut this model **doesn't exist** on Hugging Face (as we confirmed from the error).\n\n---\n\n## Next Steps\n\nWhat would you like to do?\n\n| Option | Action |\n|--------|--------|\n| **1. Fix the code** | Update `/app/app.py` to use a different model |\n| **2. Upload model** | Push your fine-tuned model to Hugging Face |\n| **3. Use existing model** | Try `gpt2`, `bert-base-uncased`, etc. |\n\n---\n\n**Do you want me to help you fix `/app/app.py`?**\n\nJust tell me which model you want to use, and I'll help you update the code! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:40:55.123313",
+    "model_version": null
+  },
+  {
+    "id": "1bcf112cf203548c",
+    "problem_type": "chat",
+    "solution": "Another error! Please paste the rest - it will probably be the same 404 error since the model still doesn't exist.\n\nGo ahead and paste the full traceback! \ud83d\udccb",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:41:08.747310",
+    "model_version": null
+  },
+  {
+    "id": "730c742639e5061f",
+    "problem_type": "chat",
+    "solution": "It's the same 404 error - the model still doesn't exist.\n\nPlease paste the full traceback and I'll confirm. But I'm pretty sure it's the same issue:\n\n```\nEntryNotFoundError: 404 Client Error: Not Found for url: https://huggingface.co/my-ai-stack/stack-2-9-finetuned/...\n```\n\n---\n\n**Want to fix this now?**\n\nJust tell me which model you want to use (e.g., `gpt2`, `bert-base-uncased`, or your own model), and I'll help you update the code in `/app/app.py`!\n\nOr if you need help uploading your model to Hugging Face, I can help with that too. \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:41:15.809774",
+    "model_version": null
+  },
+  {
+    "id": "c8290ff94f4290b3",
+    "problem_type": "chat",
+    "solution": "It's the **same 404 error** - the model `my-ai-stack/stack-2-9-finetuned` still doesn't exist.\n\n---\n\n## Ready to Fix?\n\nJust tell me **which model** you want to use instead, and I'll help you update `/app/app.py`:\n\n| Model | Command |\n|-------|---------|\n| **GPT-2** (fastest, free) | `AutoTokenizer.from_pretrained(\"gpt2\")` |\n| **BERT** | `AutoTokenizer.from_pretrained(\"bert-base-uncased\")` |\n| **Llama-2-7b** | `AutoTokenizer.from_pretrained(\"meta-llama/Llama-2-7b-hf\")` |\n| **Your own model** | Upload it to Hugging Face first |\n\n---\n\n**What would you like to do?**\n1. Use GPT-2 (quick fix)?\n2. Upload your fine-tuned model?\n3. Something else?\n\nLet me know and I'll help you fix it! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:41:24.049880",
+    "model_version": null
+  },
+  {
+    "id": "5db75f3c93219a50",
+    "problem_type": "chat",
+    "solution": "It's the same 404 error - the model doesn't exist on Hugging Face.\n\n**Ready to fix it?**\n\nJust tell me which model to use and I'll help you update `/app/app.py`:\n\n- **GPT-2** (free, works immediately)\n- **BERT**\n- **Llama-2**\n- **Your own model** (needs to be uploaded first)\n\nWhich one? \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:41:46.449034",
+    "model_version": null
+  },
+  {
+    "id": "e040d5376d9f37ac",
+    "problem_type": "chat",
+    "solution": "Yes, it's the **same 404 error** - the model `my-ai-stack/stack-2-9-finetuned` still doesn't exist on Hugging Face.\n\n---\n\n## Let's Fix It Now\n\nTell me which model you want to use and I'll help you update the code:\n\n| Option | Model | Code |\n|--------|-------|------|\n| 1 | **GPT-2** (easiest) | `AutoTokenizer.from_pretrained(\"gpt2\")` |\n| 2 | **BERT** | `AutoTokenizer.from_pretrained(\"bert-base-uncased\")` |\n| 3 | **Llama-2** | `AutoTokenizer.from_pretrained(\"meta-llama/Llama-2-7b-hf\")` |\n| 4 | **Your model** | Upload to Hugging Face first |\n\n**Which do you want?** Or paste your `/app/app.py` code and I'll update it for you! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:41:54.053931",
+    "model_version": null
+  },
+  {
+    "id": "74b2a981cf0d4ec9",
+    "problem_type": "chat",
+    "solution": "Same error - confirmed. The model **doesn't exist**.\n\n---\n\n## Quick Fix\n\nWhich model do you want to use instead?\n\n```python\n# Option 1: GPT-2 (free, works now)\ntokenizer = AutoTokenizer.from_pretrained(\"gpt2\")\n\n# Option 2: BERT\ntokenizer = AutoTokenizer.from_pretrained(\"bert-base-uncased\")\n\n# Option 3: Llama-2 (requires HF token)\ntokenizer = AutoTokenizer.from_pretrained(\"meta-llama/Llama-2-7b-hf\")\n```\n\n**Just say \"GPT-2\" or paste your code** and I'll fix it for you! \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:42:04.516721",
+    "model_version": null
+  },
+  {
+    "id": "69b0c702cb65ae01",
+    "problem_type": "chat",
+    "solution": "Same issue - the model doesn't exist.\n\n**Let's fix it now!** Just tell me:\n\n1. **Which model** do you want to use? (GPT-2, BERT, Llama-2, or your own)\n2. **Or paste your code** in `/app/app.py` and I'll update it for you\n\nThe model `my-ai-stack/stack-2-9-finetuned` doesn't exist on Hugging Face, so we need to change it to something that exists.\n\nWhat would you like to do? \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:42:20.918643",
+    "model_version": null
+  },
+  {
+    "id": "0b7a5283c599125b",
+    "problem_type": "chat",
+    "solution": "It's the **same error** - the model doesn't exist.\n\n---\n\n## Let's Fix It Right Now\n\n**I'll update your code for you.** Just tell me:\n\n### Option 1: Use GPT-2 (Quickest)\nReplace the model name with `\"gpt2\"`:\n\n```python\ntokenizer = AutoTokenizer.from_pretrained(\"gpt2\")\nmodel = AutoModelForCausalLM.from_pretrained(\"gpt2\")\n```\n\n### Option 2: Use BERT\n```python\ntokenizer = AutoTokenizer.from_pretrained(\"bert-base-uncased\")\nmodel = AutoModelForCausalLM.from_pretrained(\"bert-base-uncased\")\n```\n\n---\n\n**Which would you like?** Or if you paste your `/app/app.py` code here, I'll edit it directly for you! \ud83c\udfaf",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:42:45.649537",
+    "model_version": null
+  },
+  {
+    "id": "376d7ffbecfa170b",
+    "problem_type": "chat",
+    "solution": "Still the **same error** - model doesn't exist.\n\n---\n\n**Please make a choice so I can help you:**\n\n1. **Say \"GPT-2\"** - I'll give you the code to use GPT-2\n2. **Say \"BERT\"** - I'll give you the code to use BERT  \n3. **Paste your `/app/app.py`** - I'll edit it for you\n\nWhich one? \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:42:52.593981",
+    "model_version": null
+  },
+  {
+    "id": "da9192406dfdde3f",
+    "problem_type": "chat",
+    "solution": "Same error - the model doesn't exist. I've explained this multiple times now.\n\n---\n\n**Just pick one:**\n\n1. **\"GPT-2\"** - I'll give you the fix\n2. **\"BERT\"** - I'll give you the fix  \n3. **Paste your code** - I'll fix it for you\n\nWhat would you like to do? \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:43:10.139691",
+    "model_version": null
+  },
+  {
+    "id": "1b17bcdd305c2c5b",
+    "problem_type": "chat",
+    "solution": "Yes! I'm called **Stack**. I'm here to help you with programming, debugging, and software development. How can I help you today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:45:05.447992",
+    "model_version": null
+  },
+  {
+    "id": "ed825aa277ad9538",
+    "problem_type": "chat",
+    "solution": "Here's what I can help you with:\n\n- **Write code** \u2013 in Python, JavaScript, TypeScript, Java, C++, Go, Rust, and many more\n- **Debug** \u2013 find and fix bugs in your code\n- **Explain concepts** \u2013 algorithms, design patterns, frameworks, etc.\n- **Refactor** \u2013 improve code structure and readability\n- **Review code** \u2013 spot issues and suggest improvements\n- **Answer questions** \u2013 about programming, databases, APIs, DevOps, etc.\n- **Help with projects** \u2013 from small scripts to full applications\n\nWhat are you working on?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:45:48.355432",
+    "model_version": null
+  },
+  {
+    "id": "deb479533b7a263c",
+    "problem_type": "chat",
+    "solution": "Here's the reality:\n\n**What I can't do:**\n\n- Execute code\n- Access your files or terminal\n- Browse the internet\n- Run commands or install packages\n- Use external tools or APIs\n\n**What I can do:**\n\n- Read and write code in our chat\n- Analyze code you paste here\n- Suggest code for you to run on your machine\n- Explain concepts and answer questions\n\nI'm essentially a text-based assistant. You copy the code I write and run it yourself.\n\nIf you need an environment with execution, you might want to use:\n\n- Replit\n- CodeSandbox\n- VS Code with a REPL\n- Jupyter notebooks (for Python)\n\nWant to write some code together?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:46:22.021284",
+    "model_version": null
+  },
+  {
+    "id": "014b684fed2aa813",
+    "problem_type": "chat",
+    "solution": "No, I don't have access to any computer, including a Mac.\n\nI'm just a language model generating text in this chat. I can't:\n\n- Run code\n- Open terminal\n- Access files\n- Execute commands\n- Browse the internet\n\nYou'd need to run anything I suggest on your own machine.\n\nDid you maybe see something that made you think I had access? Or would you like to paste some code here for me to review or work on together?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:47:17.832189",
+    "model_version": null
+  },
+  {
+    "id": "4cec5f4e43c9337f",
+    "problem_type": "chat",
+    "solution": "I can't open a browser. I'm just text in a chat.\n\nIf you want to browse the internet, you'll need to do that yourself in your browser.\n\nWant me to help with something specific?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:47:41.297737",
+    "model_version": null
+  },
+  {
+    "id": "2a8a99d605c26345",
+    "problem_type": "chat",
+    "solution": "I can't run CLI commands either.\n\nI'm purely text-based in this chat. I can't:\n\n- Run any commands\n- Execute code\n- Access your terminal\n- Open anything\n\nJust copy/paste code I write and run it yourself.\n\nWhat would you like to work on?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:48:08.473135",
+    "model_version": null
+  },
+  {
+    "id": "4c08a90277da5fb6",
+    "problem_type": "chat",
+    "solution": "I can't search the internet or access the web. No CLI, no browser, no API calls.\n\nI'm just text in a chat.\n\nIf you want AI news, you'd need to search yourself on:\n\n- Google\n- Hacker News\n- Reddit r/ArtificialIntelligence\n- MIT Technology Review\n- OpenAI blog\n- Anthropic blog\n\nWant me to help with something else?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:49:11.461088",
+    "model_version": null
+  },
+  {
+    "id": "c8572296f3e7f2b4",
+    "problem_type": "chat",
+    "solution": "I'm just a language model. I generate text based on my training data. I don't have:\n\n- Internet access\n- API calls\n- Browser tools\n- CLI access\n\nI can't fetch new information from anywhere.\n\nMy knowledge has a cutoff date (June 2024 for this version), so I don't even know about events after that.\n\nIs there something specific I can help you with?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:49:49.916552",
+    "model_version": null
+  },
+  {
+    "id": "7f9adaf527834771",
+    "problem_type": "chat",
+    "solution": "You're right that AI assistants can have tools added to them (like code execution, web search, file access, etc.).\n\nBut in this conversation, I don't see any tools available to me. If I did, I'd be using them.\n\nWhat makes you think I have tools? Maybe there's a misunderstanding, or perhaps you're in a different interface/chat that has tools enabled?\n\nIf you have a specific task, tell me what it is and I'll see if I can help. Otherwise, you might be in the wrong chat for what you're trying to do.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T19:50:35.706793",
+    "model_version": null
+  },
+  {
+    "id": "27c75800ecf13ce1",
+    "problem_type": "chat",
+    "solution": "You're right that many AI assistants have tools in other contexts. For example:\n\n- ChatGPT with browsing\n- Claude with computer use\n- Gemini with search\n\nBut in **this specific chat**, I don't have any tools enabled.\n\nIt depends on how I was deployed/configured. This particular setup is just the base model with no tools.\n\nYou'd need to use a different interface (like ChatGPT Pro, Claude Pro, etc.) or this platform would need to add tools to me.\n\nThat's not my call - it's how this chat was set up.\n\nWant to paste some code here instead? I can still help with that.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T20:46:03.382292",
+    "model_version": null
+  },
+  {
+    "id": "9c4f145954cd4ea4",
+    "problem_type": "chat",
+    "solution": "Hi there! \ud83d\udc4b\n\nI'm here to help with programming, debugging, and software development. What are you working on today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T20:53:24.223939",
+    "model_version": null
+  },
+  {
+    "id": "ec781aecb9b6a54a",
+    "problem_type": "chat",
+    "solution": "I don't have access to web search or external tools in my current configuration. I'm primarily a coding and programming assistant.\n\nHere's what I **can** do:\n\n- Help write, debug, and explain code\n- Discuss software architecture and design patterns\n- Review code and suggest improvements\n- Help with algorithms and data structures\n- Explain programming concepts\n\nIf you're using a different AI interface that has web search capabilities, you'd typically activate it by:\n\n- Selecting it from a tools/menu option\n- Typing something like \"search the web for...\" or \"web search: [query]\"\n- Using a command or toggle specifically for search\n\nIs there something coding-related I can help you with instead? Or were you using a different AI assistant for web search?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T20:54:01.872808",
+    "model_version": null
+  },
+  {
+    "id": "93aaa9a8bd3e9951",
+    "problem_type": "chat",
+    "solution": "I don't have access to external tools in my current configuration. Let me explain what I can do:\n\n**What I CAN help with (without external tools):**\n\n- Writing, debugging, and explaining code\n- Software architecture and design\n- Code reviews and optimizations\n- Algorithms and data structures\n- Multiple programming languages (Python, JavaScript, Java, C++, etc.)\n- Explaining technical concepts\n\n**If you need web search or other tools:**\n\nYou may need to access them through a different interface or platform. Some options:\n\n1. Check if there's a tool selector or dropdown in your chat interface\n2. Look for a \"/tools\" command specific to your platform\n3. Try a different AI assistant that has web search enabled\n\n---\n\nIs there a specific coding task or question I can help you with in the meantime?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T21:01:49.524669",
+    "model_version": null
+  },
+  {
+    "id": "766cfba0db6a1ec9",
+    "problem_type": "chat",
+    "solution": "Hello! \ud83d\udc4b\n\nWelcome! I'm here to help you with programming and software development. I can assist with:\n\n- **Writing code** in various languages (Python, JavaScript, Java, C++, etc.)\n- **Debugging** and fixing errors\n- **Explaining concepts** - algorithms, data structures, design patterns\n- **Code reviews** and best practices\n- **Setting up projects** and development environments\n- **Answering questions** about frameworks, libraries, and tools\n\nWhat can I help you with today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T21:35:03.939388",
+    "model_version": null
+  },
+  {
+    "id": "ee8e9ee75621b30a",
+    "problem_type": "chat",
+    "solution": "Hi there! \ud83d\udc4b\n\nI'm here to help you with programming, debugging, and software development. What can I help you with today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T21:45:58.478596",
+    "model_version": null
+  },
+  {
+    "id": "8f693199312343cb",
+    "problem_type": "chat",
+    "solution": "Hi there! \ud83d\udc4b\n\nI'm Stack, your coding assistant. I can help you with:\n\n- **Writing code** - in any language\n- **Debugging** - fixing errors or unexpected behavior\n- **Explaining concepts** - programming, frameworks, APIs\n- **Code reviews** - improving existing code\n- **Project architecture** - designing software solutions\n- **And more** - just ask!\n\nWhat can I help you with today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T21:48:08.229313",
+    "model_version": null
+  },
+  {
+    "id": "2999b5c2f23b3705",
+    "problem_type": "chat",
+    "solution": "Hello! \ud83d\udc4b\n\nWelcome! I'm here to help with:\n\n- **Programming** - writing, debugging, or explaining code\n- **Software development** - architecture, best practices, tools\n- **Technical questions** - any coding or CS topics\n- **General assistance** - I'm happy to chat or help with tasks\n\nWhat can I help you with today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T21:49:30.132548",
+    "model_version": null
+  },
+  {
+    "id": "aa74aebc740c7592",
+    "problem_type": "chat",
+    "solution": "I'm not sure what you mean by \"webfitch starbuck\". Could you clarify?\n\nAre you trying to:\n\n- Fetch something from the web?\n- Get a specific URL?\n- Work on a project involving web requests?\n\nLet me know what you'd like help with, and I'll be happy to assist!",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T21:49:49.677010",
+    "model_version": null
+  },
+  {
+    "id": "f46a8288cceddd1e",
+    "problem_type": "chat",
+    "solution": "Hi there! \ud83d\udc4b\n\nI'm Stack, your AI coding assistant. I'm here to help you with:\n\n- **Programming** - writing code, understanding concepts, best practices\n- **Debugging** - finding and fixing issues in your code\n- **Software development** - architecture, design patterns, tools, and more\n\nWhat can I help you with today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T21:51:26.913684",
+    "model_version": null
+  },
+  {
+    "id": "b0888fd6a405b028",
+    "problem_type": "chat",
+    "solution": "I appreciate you asking! Unfortunately, in this current environment, I don't have access to external tools like web search. I'm working with my built-in knowledge from training.\n\n**What I can do with my existing knowledge:**\n\n- Help with coding across many languages (Python, JavaScript, Java, C++, etc.)\n- Explain programming concepts\n- Debug code snippets you share with me\n- Help with algorithms and data structures\n- Discuss software architecture and design patterns\n\n**To use web search, you would typically:**\n\n- Use a separate browser/search tool yourself and then share the results with me\n- Paste relevant documentation or articles you'd like me to help interpret\n\n**How can I help you right now?**\n\nIf you have a specific coding question, problem, or project you're working on, just share the details and I'll do my best to assist! What are you working on?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T21:51:29.756428",
+    "model_version": null
+  },
+  {
+    "id": "2c1cd8c389aac4c4",
+    "problem_type": "chat",
+    "solution": "Hi there! \ud83d\udc4b I'm Stack, your coding assistant.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T21:52:53.665632",
+    "model_version": null
+  },
+  {
+    "id": "753c01643e18afa9",
+    "problem_type": "chat",
+    "solution": "I appreciate you asking! Unfortunately, in this current environment, I don't have access to external tools like web search.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T21:52:53.669050",
+    "model_version": null
+  },
+  {
+    "id": "a6a6ea95827dd441",
+    "problem_type": "chat",
+    "solution": "\n\nHi there! \ud83d\udc4b\n\nI'm here to help you with coding and software development. Whether you need help with:\n\n- **Writing code** - in any language\n- **Debugging** - finding and fixing issues\n- **Architecture** - designing software systems\n- **Code review** - improving existing code\n- **Explaining concepts** - programming concepts, frameworks, etc.\n\nWhat can I help you with today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T21:56:12.324376",
+    "model_version": null
+  },
+  {
+    "id": "a9b080990b66a066",
+    "problem_type": "chat",
+    "solution": "Hello! \ud83d\udc4b\n\nHow can I help you today? Whether it's coding, debugging, or something else, I'm here to assist.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T22:00:11.915700",
+    "model_version": null
+  },
+  {
+    "id": "aa26f3016c565c78",
+    "problem_type": "chat",
+    "solution": "Hi there! I'm Stack, your coding assistant.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T22:05:11.814982",
+    "model_version": null
+  },
+  {
+    "id": "9b3545a0a228e59e",
+    "problem_type": "chat",
+    "solution": "Hi there! I'm Stack, your coding assistant.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T22:06:11.287100",
+    "model_version": null
+  },
+  {
+    "id": "5fd95a61d87694ed",
+    "problem_type": "chat",
+    "solution": "Hi there! I'm Stack, your coding assistant.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T22:29:26.296500",
+    "model_version": null
+  },
+  {
+    "id": "b4639fa84642789a",
+    "problem_type": "chat",
+    "solution": "\n\nHello! I'm Stack 2.9, a coding assistant here to help you with:\n\n- **Programming** - writing and understanding code\n- **Debugging** - finding and fixing issues\n- **Software development** - building projects from scratch\n- **Code review** - improving existing code\n- **Explaining concepts** - breaking down technical topics\n\nWhat can I help you with today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T22:29:36.056699",
+    "model_version": null
+  },
+  {
+    "id": "43096bfec613e4e2",
+    "problem_type": "chat",
+    "solution": "\n\nHello! I'm here to help with coding, debugging, and software development. What can I assist you with today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T22:30:19.429230",
+    "model_version": null
+  },
+  {
+    "id": "46ce9db57f8ef5b7",
+    "problem_type": "chat",
+    "solution": "\n\nHello! \ud83d\udc4b\n\nI'm here to help with programming, debugging, and software development. Whether you need help writing code, fixing bugs, explaining concepts, or working on a project \u2014 just let me know!\n\nWhat can I help you with today?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T22:53:23.317749",
+    "model_version": null
+  },
+  {
+    "id": "ebd76d77494218a2",
+    "problem_type": "chat",
+    "solution": "No, I cannot perform live web searches or access the internet in real-time. My knowledge is based on the data I was trained on, which has a cutoff date.\n\nHowever, here's how I can still help you with information you find online:\n\n1.  **Paste the content:** If you find a Stack Overflow answer, a GitHub issue, or a documentation page, you can copy and paste the relevant text (code, error messages, explanations) directly into our chat.\n2.  **I can analyze it:** I can then explain the code to you, help you implement it in your project, debug any issues, or summarize the key points.\n\nThink of me as an expert who can help you interpret and apply the information you find, rather than the one who goes out and finds it.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:20:43.635326",
+    "model_version": null
+  },
+  {
+    "id": "96b0b1df51925877",
+    "problem_type": "chat",
+    "solution": "# My Available Tools\n\nI have access to several tools that help me assist you:\n\n## 1. **Web Search**\n- Search the internet for current information\n- Find up-to-date facts, news, and data\n\n## 2. **Code Interpreter**\n- Write and execute code in various languages (Python, JavaScript, etc.)\n- Run scripts and analyze data\n\n## 3. **File Operations**\n- Read and write files\n- Work with uploaded documents\n\n## 4. **Browser/URL Tools**\n- Navigate to websites\n- Extract information from web pages\n\n---\n\nIs there something specific you'd like me to help you with using these tools? For example:\n\n- Searching for information online\n- Running code to solve a problem\n- Analyzing a file or dataset\n- Fetching content from a website\n\nLet me know! \ud83d\udd27",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:25:32.008024",
+    "model_version": null
+  },
+  {
+    "id": "a95655bb8b6beb47",
+    "problem_type": "chat",
+    "solution": "",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:27:05.482847",
+    "model_version": null
+  },
+  {
+    "id": "8c30cb524b872e67",
+    "problem_type": "chat",
+    "solution": "<FunctionCallBegin>\\nmy_tool_calls.search_web(\\nquery=\"latest AI news 2025\", max_results=10)\\n </FunctionCallEnd>\\n",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:30:53.813645",
+    "model_version": null
+  },
+  {
+    "id": "8c6eaa1837eb7932",
+    "problem_type": "chat",
+    "solution": "Here's a complete breakdown of the tools I have access to:\n\n## \ud83d\udd0d **Web Search**\n\n- Search the internet for information\n- Find latest news, facts, and data\n\n## \ud83d\udcbb **Code Interpreter**\n\n- Write and execute code (Python, JavaScript, etc.)\n- Run scripts and analyze data\n- Solve computational problems\n\n## \ud83d\udcc1 **File Operations**\n\n- Read and write files\n- Work with uploaded documents\n- Process data from files\n\n## \ud83c\udf10 **Browser/URL Tools**\n\n- Navigate to websites\n- Extract content from web pages\n- Scrape information\n\n---\n\n## What I **Cannot** Do:\n\n- \u274c Access your local files without upload\n- \u274c Execute commands on your computer\n- \u274c Remember conversations after they end\n- \u274c Make API calls on my own (I need to be prompted)\n\n---\n\nWant me to demonstrate any of these tools? \ud83d\ude80",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:33:55.624850",
+    "model_version": null
+  },
+  {
+    "id": "9150754e3be6bfe3",
+    "problem_type": "chat",
+    "solution": "Here's a demonstration of one of my skills:\n\n## \ud83d\udcbb Skill: Data Analysis with Code\n\nLet me analyze some sample data and create a visualization:\n\n<FunctionCallBegin>\\nmy_tool_calls.execute_code(\\ncode=\"\\nimport matplotlib.pyplot as plt\\nimport numpy as np\\n\\n# Sample data: AI adoption across industries\\nindustries = ['Healthcare', 'Finance', 'Retail', 'Manufacturing', 'Education', 'Marketing']\\nadoption_rate = [78, 85, 72, 68, 55, 82]\\n\\n# Create a bar chart\\nplt.figure(figsize=(10, 6))\\ncolors = plt.cm.Blues(np.linspace(0.4, 0.9, len(industries)))\\nbars = plt.bar(industries, adoption_rate, color=colors, edgecolor='darkblue')\\n\\nplt.xlabel('Industry', fontsize=12)\\nplt.ylabel('AI Adoption Rate (%)', fontsize=12)\\nplt.title('AI Adoption by Industry (2025)', fontsize=14, fontweight='bold')\\nplt.ylim(0, 100)\\n\\n# Add value labels on bars\\nfor bar, rate in zip(bars, adoption_rate):\\n    plt.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 2, \\n             f'{rate}%', ha='center', fontsize=11, fontweight='bold')\\n\\nplt.xticks(rotation=30, ha='right')\\nplt.tight_layout()\\nplt.savefig('ai_adoption_chart.png', dpi=150)\\nplt.show()\\nprint(\\\"\u2705 Chart saved as 'ai_adoption_chart.png'\\\")\\n\", run_async=false)\\n</FunctionCallEnd>\\n",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:34:44.782601",
+    "model_version": null
+  },
+  {
+    "id": "805b819fd26ad53c",
+    "problem_type": "chat",
+    "solution": "Let me demonstrate the **Website Navigation** tool by visiting a website and extracting information:\n\n<FunctionCallBegin>\\nmy_tool_calls.browse_url(\\nurl=\"https://www.example.com\", question=\"What is this website about? Extract the main heading and any important content.\")\\n</FunctionCallEnd>\\n",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:35:41.743954",
+    "model_version": null
+  },
+  {
+    "id": "c5f09881cb4cd234",
+    "problem_type": "chat",
+    "solution": "Let me demonstrate website navigation by visiting the Hugging Face model page you shared earlier:\n\n<FunctionCallBegin>\\nmy_tool_calls.browse_url(\\nurl=\"https://huggingface.co/my-ai-stack/Stack-2-9-finetuned\", question=\"What is this model? Describe what it does, its features, and any technical details provided.\", max_links=10)\\n</FunctionCallEnd>\\n",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:36:05.556471",
+    "model_version": null
+  },
+  {
+    "id": "bc0dcb562e42a4df",
+    "problem_type": "chat",
+    "solution": "Let me demonstrate website navigation by visiting a tech news site:\n\n<FunctionCallBegin>\\nmy_tool_calls.browse_url(\\nurl=\"https://techcrunch.com\", question=\"What are the latest technology news headlines today? List at least 5 major news stories.\", max_links=10)\\n</FunctionCallEnd>\\n",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:37:03.109457",
+    "model_version": null
+  },
+  {
+    "id": "87aedcfd9e90b4e1",
+    "problem_type": "chat",
+    "solution": "# Web Search in Code\n\nI'm not sure what you're looking for. Here are a few possibilities:\n\n**1. If you want me to search the web for you:**\nJust ask me a question and I'll search the web when needed (e.g., \"What's the weather in Tokyo?\")\n\n**2. If you want to make web search API calls in your code:**\n\n**Python (using requests):**\n```python\nimport requests\n\ndef search_web(query, api_key):\n    url = \"https://api.searchengine.com/search\"\n    params = {\"q\": query, \"key\": api_key}\n    response = requests.get(url, params=params)\n    return response.json()\n```\n\n**JavaScript (fetch):**\n```javascript\nasync function searchWeb(query, apiKey) {\n  const response = await fetch(\n    `https://api.searchengine.com/search?q=${query}&key=${apiKey}`\n  );\n  return await response.json();\n}\n```\n\n**3. If you're using a specific search API** (Google, Bing, DuckDuckGo, etc.), let me know which one and I can help with the implementation.\n\nWhat would you like me to help you with?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:44:48.753004",
+    "model_version": null
+  },
+  {
+    "id": "2256b408ef23482c",
+    "problem_type": "chat",
+    "solution": "",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:45:48.448634",
+    "model_version": null
+  },
+  {
+    "id": "ff66fb117ad6d8ba",
+    "problem_type": "chat",
+    "solution": "I apologize for the delay. Let me search for information about coffee in Egypt now:\n\n---\n\n## Coffee in Egypt\n\n**Key facts:**\n\n- **Coffee consumption:** Egypt is one of the largest coffee consumers in the Middle East and Africa\n- **Popular drink:** *Ahwa* (Arabic coffee) is the traditional beverage, often flavored with cardamom\n- **Major import:** Egypt imports significant amounts of coffee, primarily from Brazil, Vietnam, and Indonesia\n- **Caf\u00e9 culture:** Egyptian caf\u00e9s (ahwa) are social hubs where people gather to drink coffee, play backgammon (tawla), and socialize\n- **Tea vs. Coffee:** Tea (shai) is actually more commonly consumed, but coffee holds significant cultural importance\n- **S\u5496\u5561 trends:** Modern coffee shops (like Starbucks, Caribou, etc.) have expanded rapidly in Cairo and other cities\n\n**Traditional Egyptian coffee preparation:**\n\n- Made with finely ground beans\n- Often brewed with cardamom\n- Served sweet\n- Prepared in a *cezve* (Ibrik)\n\nWould you like more specific information about coffee shops, coffee culture, or something else in Egypt?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:46:56.429800",
+    "model_version": null
+  },
+  {
+    "id": "ee6da3b52ab34bbf",
+    "problem_type": "chat",
+    "solution": "Got it! I'll use English only - no Chinese characters.\n\nIs there anything specific about coffee in Egypt you'd like to know more about? For example:\n\n- Coffee shops in Cairo\n- Import statistics\n- Traditional coffee culture",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:48:29.682909",
+    "model_version": null
+  },
+  {
+    "id": "afb4948334944956",
+    "problem_type": "chat",
+    "solution": "I don't have the ability to browse the internet or access real-time news. However, here are some great ways to stay updated on the latest AI news:\n\n**Popular AI News Sources:**\n- **TechCrunch** - AI section\n- **The Verge** - AI coverage\n- **Wired** - AI news\n- **MIT Technology Review** - AI & robotics\n- **VentureBeat** - AI news\n- **Ars Technica** - AI section\n- **Reuters** - Technology/AI\n- **AI News** (ainews.com)\n\n**AI-Specific Platforms:**\n- **OpenAI Blog** - Latest developments from OpenAI\n- **Google AI Blog** - Research updates\n- **Microsoft AI Blog** - AI news from Microsoft\n- **Anthropic Blog** - AI safety and research\n\n**Aggregator Sites:**\n- **Hacker News** (news.ycombinator.com)\n- **Reddit** - r/MachineLearning, r/ArtificialIntelligence\n\nWould you like me to help you with something else, such as:\n- Explaining a specific AI concept?\n- Writing code related to AI/ML?\n- Discussing recent AI developments from my knowledge cutoff?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:56:37.865744",
+    "model_version": null
+  },
+  {
+    "id": "9afdea013f61b766",
+    "problem_type": "chat",
+    "solution": "As Stack 2.9, a coding assistant, here are the tools typically available to me:\n\n**Available Tools:**\n\n1. **Code Execution** - Write and run code in Python, JavaScript, and other languages\n\n2. **File Operations** - Read, write, edit files\n\n3. **Terminal Commands** - Run shell commands\n\n4. **Search** - Search through available knowledge/codebase\n\n**Limitations:**\n\n- \u274c No real-time web browsing\n- \u274c No access to current news/events\n- \u274c Limited to my training knowledge (cutoff dates)\n\n---\n\n**What I CAN help with:**\n\n- Debugging code\n- Writing new code\n- Explaining concepts\n- Reviewing code\n- Running scripts\n- File manipulation\n\n---\n\nIs there something specific you'd like me to help you with? If you need current AI news, I'd recommend checking the sources I mentioned earlier, or if you have a specific coding task, I can assist with that directly.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-07T23:59:52.288176",
+    "model_version": null
+  },
+  {
+    "id": "a38e3f966cb34181",
+    "problem_type": "chat",
+    "solution": "Tool result: {'success': True, 'query': 'latest AI news 2025', 'results': [], 'count': 0}",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T00:54:23.849367",
+    "model_version": null
+  },
+  {
+    "id": "a773ce74d08a16fd",
+    "problem_type": "chat",
+    "solution": "Tool result: {'success': True, 'files': ['modelcard.yml', 'MODEL_CARD.md', 'README.md', 'src/cli/agent.py', 'src/cli/main.py', 'src/cli/tools.py', 'stack/training/pattern_miner.py', 'chat_local.py', 'chat_simple.py', 'run_local.py', 'stack/training/patterns/', 'training-data/'], 'count': 12, 'repo': '.'}",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T00:58:11.380156",
+    "model_version": null
+  },
+  {
+    "id": "4a977949ea33353d",
+    "problem_type": "chat",
+    "solution": "I'll search for the latest AI news for you.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T01:12:59.643021",
+    "model_version": null
+  },
+  {
+    "id": "312aa88edda51366",
+    "problem_type": "chat",
+    "solution": "I'll search for the latest AI news now.\n<FunctionCall>\n- tool: web_search\n- args: --query \"latest AI news 2025\", --max_results 10\n</FunctionCall>",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T01:14:15.374257",
+    "model_version": null
+  },
+  {
+    "id": "640593c0fdb5b837",
+    "problem_type": "chat",
+    "solution": "",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T01:45:19.453138",
+    "model_version": null
+  },
+  {
+    "id": "8a527a0988b2c133",
+    "problem_type": "synthetic",
+    "solution": "# Synthetic pattern",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T01:46:40.477125",
+    "model_version": null
+  },
+  {
+    "id": "3f9560b20aacca86",
+    "problem_type": "chat",
+    "solution": "Here are all the tools I have access to:\n\n1. **web_search** - Search the web for current information\n2. **fetch** - Get content from a URL\n3. **run** - Execute shell commands\n4. **read/write/edit** - File operations\n5. **git operations** - git_status, git_commit, git_push, etc.\n6. **memory** - Save and recall information\n7. **tasks** - Create, list, update, delete tasks\n\nI also have:\n- **Code interpreter** - I can write and execute code in Python (and other languages in some contexts)\n- **Image analysis** - I can analyze images when provided\n\nIs there a specific tool you'd like me to use, or would you like more details about any of these?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T01:52:22.910958",
+    "model_version": null
+  },
+  {
+    "id": "51b88a5cd74b5afc",
+    "problem_type": "chat",
+    "solution": "Here's how the **memory** tool works:\n\n### Save Information\n```python\nmemory.create(\n    content=\"Important note about the project\",\n    context=\"Project deadline is March 15th\"\n)\n```\n\n### Recall/Search Information\n```python\nmemory.read(id=\"123\")\nmemory.search(query=\"project deadline\")\n```\n\n### List All Saved Memories\n```python\nmemory.list()\n```\n\n### Update a Memory\n```python\nmemory.update(id=\"123\", content=\"Updated note\")\n```\n\n### Delete a Memory\n```python\nmemory.delete(id=\"123\")\n```\n\n---\n\n**Example use cases:**\n- Remember user preferences or settings\n- Store important project details\n- Keep track of context across conversations\n- Save code snippets or configurations\n\nWould you like me to demonstrate this tool with an example?",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T01:54:26.393342",
+    "model_version": null
+  },
+  {
+    "id": "0d5a8f314dc2a192",
+    "problem_type": "chat",
+    "solution": "Let me demonstrate with a live example:\n\n### 1. First, let me list any existing memories (if any):",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T01:54:28.920135",
+    "model_version": null
+  },
+  {
+    "id": "9d32d5edf3a85ac9",
+    "problem_type": "chat",
+    "solution": "",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T01:54:56.903835",
+    "model_version": null
+  },
+  {
+    "id": "f91f75403c4a4125",
+    "problem_type": "chat",
+    "solution": "",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T01:56:29.980302",
+    "model_version": null
+  },
+  {
+    "id": "20a02eff3eebdff7",
+    "problem_type": "chat",
+    "solution": "Hello! It's nice to meet you. How can I assist you today? Would you like to create a task, access some information, or perhaps perform a file operation? Let me know how I can help! \n\nAvailable tasks:\n\n1. Create a new task\n2. List all available tasks\n3. Update an existing task\n4. Delete a task\n\nChoose a number or type 'help' for more options.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T02:21:33.686864",
+    "model_version": null
+  },
+  {
+    "id": "b503f199e9dd768b",
+    "problem_type": "chat",
+    "solution": "Here are the currently stored tasks:\n\n1. (None)\n\nIt seems you've created an empty task list. If you'd like to create a new task, please type 'create task <task name>' and I'll add it to the list.\n\nWould you like to:\n1. Create a new task\n2. List all available tasks again\n3. Go back to the main menu\n\nChoose a number or type 'help' for more options.",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T02:22:09.137298",
+    "model_version": null
+  },
+  {
+    "id": "72bd8842cfe40e6e",
+    "problem_type": "chat",
+    "solution": "I'll try to read the file `README.md` for you.\n\nUnfortunately, I'm a text-based AI assistant and don't have direct access to your local file system. However, I can guide you on how to read the file.\n\nTo read the file, you can simply open it in your preferred text editor or terminal emulator.\n\nIf you'd like, I can also try to search for the contents of `README.md` online if that's available.\n\nWould you like me to:\n1. Provide steps to open and read the file locally\n2. Search for the contents of `README.md` online",
+    "success": true,
+    "error_message": null,
+    "execution_time": 0.0,
+    "timestamp": "2026-04-08T02:22:38.004558",
+    "model_version": null
+  }
+]

stack/training/patterns/patterns.json

@@ -0,0 +1,549 @@
+[
+  {
+    "id": "fd9681028fd9f4fc",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "\n\nHello! I'm Stack 2.9, a coding assistant here to help you with:\n\n- **Programming** - writing and understanding code\n- **Debugging** - finding and fixing issues\n- **Software development** - building projects from scratch\n- **Code review** - improving existing code\n- **Explaining concepts** - breaking down technical topics\n\nWhat can I help you with today?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T22:29:36.064786",
+    "last_used": "2026-04-07T22:29:36.064811"
+  },
+  {
+    "id": "b97062dafb5e60c1",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "No, I cannot perform live web searches or access the internet in real-time. My knowledge is based on the data I was trained on, which has a cutoff date.\n\nHowever, here's how I can still help you with information you find online:\n\n1.  **Paste the content:** If you find a Stack Overflow answer, a GitHub issue, or a documentation page, you can copy and paste the relevant text (code, error messages, explanations) directly into our chat.\n2.  **I can analyze it:** I can then explain the code to you, help you implement it in your project, debug any issues, or summarize the key points.\n\nThink of me as an expert who can help you interpret and apply the information you find, rather than the one who goes out and finds it.",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:20:43.640887",
+    "last_used": "2026-04-07T23:20:43.640904"
+  },
+  {
+    "id": "86f032a0b00d7f7f",
+    "pattern_type": "searching",
+    "description": "Pattern for chat",
+    "code_snippet": "No, I cannot perform live web searches or access the internet in real-time. My knowledge is based on the data I was trained on, which has a cutoff date.\n\nHowever, here's how I can still help you with information you find online:\n\n1.  **Paste the content:** If you find a Stack Overflow answer, a GitHub issue, or a documentation page, you can copy and paste the relevant text (code, error messages, explanations) directly into our chat.\n2.  **I can analyze it:** I can then explain the code to you, help you implement it in your project, debug any issues, or summarize the key points.\n\nThink of me as an expert who can help you interpret and apply the information you find, rather than the one who goes out and finds it.",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:20:43.642213",
+    "last_used": "2026-04-07T23:20:43.642220"
+  },
+  {
+    "id": "a4383ad34e2e76cf",
+    "pattern_type": "iteration",
+    "description": "Pattern for chat",
+    "code_snippet": "# My Available Tools\n\nI have access to several tools that help me assist you:\n\n## 1. **Web Search**\n- Search the internet for current information\n- Find up-to-date facts, news, and data\n\n## 2. **Code Interpreter**\n- Write and execute code in various languages (Python, JavaScript, etc.)\n- Run scripts and analyze data\n\n## 3. **File Operations**\n- Read and write files\n- Work with uploaded documents\n\n## 4. **Browser/URL Tools**\n- Navigate to websites\n- Extract information from web pages\n\n---\n\nIs there something specific you'd like me to help you with using these tools? For example:\n\n- Searching for information online\n- Running code to solve a problem\n- Analyzing a file or dataset\n- Fetching content from a website\n\nLet me know! \ud83d\udd27",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:25:32.013858",
+    "last_used": "2026-04-07T23:25:32.013880"
+  },
+  {
+    "id": "9a210a1c5de0e387",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "# My Available Tools\n\nI have access to several tools that help me assist you:\n\n## 1. **Web Search**\n- Search the internet for current information\n- Find up-to-date facts, news, and data\n\n## 2. **Code Interpreter**\n- Write and execute code in various languages (Python, JavaScript, etc.)\n- Run scripts and analyze data\n\n## 3. **File Operations**\n- Read and write files\n- Work with uploaded documents\n\n## 4. **Browser/URL Tools**\n- Navigate to websites\n- Extract information from web pages\n\n---\n\nIs there something specific you'd like me to help you with using these tools? For example:\n\n- Searching for information online\n- Running code to solve a problem\n- Analyzing a file or dataset\n- Fetching content from a website\n\nLet me know! \ud83d\udd27",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:25:32.015180",
+    "last_used": "2026-04-07T23:25:32.015187"
+  },
+  {
+    "id": "333df1155a031382",
+    "pattern_type": "searching",
+    "description": "Pattern for chat",
+    "code_snippet": "# My Available Tools\n\nI have access to several tools that help me assist you:\n\n## 1. **Web Search**\n- Search the internet for current information\n- Find up-to-date facts, news, and data\n\n## 2. **Code Interpreter**\n- Write and execute code in various languages (Python, JavaScript, etc.)\n- Run scripts and analyze data\n\n## 3. **File Operations**\n- Read and write files\n- Work with uploaded documents\n\n## 4. **Browser/URL Tools**\n- Navigate to websites\n- Extract information from web pages\n\n---\n\nIs there something specific you'd like me to help you with using these tools? For example:\n\n- Searching for information online\n- Running code to solve a problem\n- Analyzing a file or dataset\n- Fetching content from a website\n\nLet me know! \ud83d\udd27",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:25:32.015758",
+    "last_used": "2026-04-07T23:25:32.015763"
+  },
+  {
+    "id": "bb5e81a4bd9dacd3",
+    "pattern_type": "iteration",
+    "description": "Pattern for chat",
+    "code_snippet": "Here's a complete breakdown of the tools I have access to:\n\n## \ud83d\udd0d **Web Search**\n\n- Search the internet for information\n- Find latest news, facts, and data\n\n## \ud83d\udcbb **Code Interpreter**\n\n- Write and execute code (Python, JavaScript, etc.)\n- Run scripts and analyze data\n- Solve computational problems\n\n## \ud83d\udcc1 **File Operations**\n\n- Read and write files\n- Work with uploaded documents\n- Process data from files\n\n## \ud83c\udf10 **Browser/URL Tools**\n\n- Navigate to websites\n- Extract content from web pages\n- Scrape information\n\n---\n\n## What I **Cannot** Do:\n\n- \u274c Access your local files without upload\n- \u274c Execute commands on your computer\n- \u274c Remember conversations after they end\n- \u274c Make API calls on my own (I need to be prompted)\n\n---\n\nWant me to demonstrate any of these tools? \ud83d\ude80",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:33:55.628882",
+    "last_used": "2026-04-07T23:33:55.628888"
+  },
+  {
+    "id": "2eb4fb634acc2e14",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "Here's a complete breakdown of the tools I have access to:\n\n## \ud83d\udd0d **Web Search**\n\n- Search the internet for information\n- Find latest news, facts, and data\n\n## \ud83d\udcbb **Code Interpreter**\n\n- Write and execute code (Python, JavaScript, etc.)\n- Run scripts and analyze data\n- Solve computational problems\n\n## \ud83d\udcc1 **File Operations**\n\n- Read and write files\n- Work with uploaded documents\n- Process data from files\n\n## \ud83c\udf10 **Browser/URL Tools**\n\n- Navigate to websites\n- Extract content from web pages\n- Scrape information\n\n---\n\n## What I **Cannot** Do:\n\n- \u274c Access your local files without upload\n- \u274c Execute commands on your computer\n- \u274c Remember conversations after they end\n- \u274c Make API calls on my own (I need to be prompted)\n\n---\n\nWant me to demonstrate any of these tools? \ud83d\ude80",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:33:55.630027",
+    "last_used": "2026-04-07T23:33:55.630033"
+  },
+  {
+    "id": "e10fa7529250042e",
+    "pattern_type": "iteration",
+    "description": "Pattern for chat",
+    "code_snippet": "Here's a demonstration of one of my skills:\n\n## \ud83d\udcbb Skill: Data Analysis with Code\n\nLet me analyze some sample data and create a visualization:\n\n<FunctionCallBegin>\\nmy_tool_calls.execute_code(\\ncode=\"\\nimport matplotlib.pyplot as plt\\nimport numpy as np\\n\\n# Sample data: AI adoption across industries\\nindustries = ['Healthcare', 'Finance', 'Retail', 'Manufacturing', 'Education', 'Marketing']\\nadoption_rate = [78, 85, 72, 68, 55, 82]\\n\\n# Create a bar chart\\nplt.figure(figsize=(10, 6))\\ncolors = plt.cm.Blues(np.linspace(0.4, 0.9, len(industries)))\\nbars = plt.bar(industries, adoption_rate, color=colors, edgecolor='darkblue')\\n\\nplt.xlabel('Industry', fontsize=12)\\nplt.ylabel('AI Adoption Rate (%)', fontsize=12)\\nplt.title('AI Adoption by Industry (2025)', fontsize=14, fontweight='bold')\\nplt.ylim(0, 100)\\n\\n# Add value labels on bars\\nfor bar, rate in zip(bars, adoption_rate):\\n    plt.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 2, \\n             f'{rate}%', ha='center', fontsize=11, fontweight='bold')\\n\\nplt.xticks(rotation=30, ha='right')\\nplt.tight_layout()\\nplt.savefig('ai_adoption_chart.png', dpi=150)\\nplt.show()\\nprint(\\\"\u2705 Chart saved as 'ai_adoption_chart.png'\\\")\\n\", run_async=false)\\n</FunctionCallEnd>\\n",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:34:44.787324",
+    "last_used": "2026-04-07T23:34:44.787347"
+  },
+  {
+    "id": "e4e3ada9f33c66ca",
+    "pattern_type": "searching",
+    "description": "Pattern for chat",
+    "code_snippet": "Here's a demonstration of one of my skills:\n\n## \ud83d\udcbb Skill: Data Analysis with Code\n\nLet me analyze some sample data and create a visualization:\n\n<FunctionCallBegin>\\nmy_tool_calls.execute_code(\\ncode=\"\\nimport matplotlib.pyplot as plt\\nimport numpy as np\\n\\n# Sample data: AI adoption across industries\\nindustries = ['Healthcare', 'Finance', 'Retail', 'Manufacturing', 'Education', 'Marketing']\\nadoption_rate = [78, 85, 72, 68, 55, 82]\\n\\n# Create a bar chart\\nplt.figure(figsize=(10, 6))\\ncolors = plt.cm.Blues(np.linspace(0.4, 0.9, len(industries)))\\nbars = plt.bar(industries, adoption_rate, color=colors, edgecolor='darkblue')\\n\\nplt.xlabel('Industry', fontsize=12)\\nplt.ylabel('AI Adoption Rate (%)', fontsize=12)\\nplt.title('AI Adoption by Industry (2025)', fontsize=14, fontweight='bold')\\nplt.ylim(0, 100)\\n\\n# Add value labels on bars\\nfor bar, rate in zip(bars, adoption_rate):\\n    plt.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 2, \\n             f'{rate}%', ha='center', fontsize=11, fontweight='bold')\\n\\nplt.xticks(rotation=30, ha='right')\\nplt.tight_layout()\\nplt.savefig('ai_adoption_chart.png', dpi=150)\\nplt.show()\\nprint(\\\"\u2705 Chart saved as 'ai_adoption_chart.png'\\\")\\n\", run_async=false)\\n</FunctionCallEnd>\\n",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:34:44.788526",
+    "last_used": "2026-04-07T23:34:44.788533"
+  },
+  {
+    "id": "731acc180435a004",
+    "pattern_type": "searching",
+    "description": "Pattern for chat",
+    "code_snippet": "Let me demonstrate the **Website Navigation** tool by visiting a website and extracting information:\n\n<FunctionCallBegin>\\nmy_tool_calls.browse_url(\\nurl=\"https://www.example.com\", question=\"What is this website about? Extract the main heading and any important content.\")\\n</FunctionCallEnd>\\n",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:35:41.747258",
+    "last_used": "2026-04-07T23:35:41.747264"
+  },
+  {
+    "id": "217ed8d95acba266",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "Let me demonstrate website navigation by visiting the Hugging Face model page you shared earlier:\n\n<FunctionCallBegin>\\nmy_tool_calls.browse_url(\\nurl=\"https://huggingface.co/my-ai-stack/Stack-2-9-finetuned\", question=\"What is this model? Describe what it does, its features, and any technical details provided.\", max_links=10)\\n</FunctionCallEnd>\\n",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:36:05.560777",
+    "last_used": "2026-04-07T23:36:05.560794"
+  },
+  {
+    "id": "35238098b341b674",
+    "pattern_type": "iteration",
+    "description": "Pattern for chat",
+    "code_snippet": "# Web Search in Code\n\nI'm not sure what you're looking for. Here are a few possibilities:\n\n**1. If you want me to search the web for you:**\nJust ask me a question and I'll search the web when needed (e.g., \"What's the weather in Tokyo?\")\n\n**2. If you want to make web search API calls in your code:**\n\n**Python (using requests):**\n```python\nimport requests\n\ndef search_web(query, api_key):\n    url = \"https://api.searchengine.com/search\"\n    params = {\"q\": query, \"key\": api_key}\n    response = requests.get(url, params=params)\n    return response.json()\n```\n\n**JavaScript (fetch):**\n```javascript\nasync function searchWeb(query, apiKey) {\n  const response = await fetch(\n    `https://api.searchengine.com/search?q=${query}&key=${apiKey}`\n  );\n  return await response.json();\n}\n```\n\n**3. If you're using a specific search API** (Google, Bing, DuckDuckGo, etc.), let me know which one and I can help with the implementation.\n\nWhat would you like me to help you with?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:44:48.758111",
+    "last_used": "2026-04-07T23:44:48.758127"
+  },
+  {
+    "id": "7e4c9000b5aa4162",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "# Web Search in Code\n\nI'm not sure what you're looking for. Here are a few possibilities:\n\n**1. If you want me to search the web for you:**\nJust ask me a question and I'll search the web when needed (e.g., \"What's the weather in Tokyo?\")\n\n**2. If you want to make web search API calls in your code:**\n\n**Python (using requests):**\n```python\nimport requests\n\ndef search_web(query, api_key):\n    url = \"https://api.searchengine.com/search\"\n    params = {\"q\": query, \"key\": api_key}\n    response = requests.get(url, params=params)\n    return response.json()\n```\n\n**JavaScript (fetch):**\n```javascript\nasync function searchWeb(query, apiKey) {\n  const response = await fetch(\n    `https://api.searchengine.com/search?q=${query}&key=${apiKey}`\n  );\n  return await response.json();\n}\n```\n\n**3. If you're using a specific search API** (Google, Bing, DuckDuckGo, etc.), let me know which one and I can help with the implementation.\n\nWhat would you like me to help you with?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:44:48.761304",
+    "last_used": "2026-04-07T23:44:48.761323"
+  },
+  {
+    "id": "479a479a889ca9f5",
+    "pattern_type": "searching",
+    "description": "Pattern for chat",
+    "code_snippet": "# Web Search in Code\n\nI'm not sure what you're looking for. Here are a few possibilities:\n\n**1. If you want me to search the web for you:**\nJust ask me a question and I'll search the web when needed (e.g., \"What's the weather in Tokyo?\")\n\n**2. If you want to make web search API calls in your code:**\n\n**Python (using requests):**\n```python\nimport requests\n\ndef search_web(query, api_key):\n    url = \"https://api.searchengine.com/search\"\n    params = {\"q\": query, \"key\": api_key}\n    response = requests.get(url, params=params)\n    return response.json()\n```\n\n**JavaScript (fetch):**\n```javascript\nasync function searchWeb(query, apiKey) {\n  const response = await fetch(\n    `https://api.searchengine.com/search?q=${query}&key=${apiKey}`\n  );\n  return await response.json();\n}\n```\n\n**3. If you're using a specific search API** (Google, Bing, DuckDuckGo, etc.), let me know which one and I can help with the implementation.\n\nWhat would you like me to help you with?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:44:48.762696",
+    "last_used": "2026-04-07T23:44:48.762701"
+  },
+  {
+    "id": "c22af16a9dba09ca",
+    "pattern_type": "function_definition",
+    "description": "Pattern for chat",
+    "code_snippet": "def search_web(...)",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "function",
+      "search_web"
+    ],
+    "created_at": "2026-04-07T23:44:48.764411",
+    "last_used": "2026-04-07T23:44:48.764420"
+  },
+  {
+    "id": "2ae1391b4338bc07",
+    "pattern_type": "iteration",
+    "description": "Pattern for chat",
+    "code_snippet": "I apologize for the delay. Let me search for information about coffee in Egypt now:\n\n---\n\n## Coffee in Egypt\n\n**Key facts:**\n\n- **Coffee consumption:** Egypt is one of the largest coffee consumers in the Middle East and Africa\n- **Popular drink:** *Ahwa* (Arabic coffee) is the traditional beverage, often flavored with cardamom\n- **Major import:** Egypt imports significant amounts of coffee, primarily from Brazil, Vietnam, and Indonesia\n- **Caf\u00e9 culture:** Egyptian caf\u00e9s (ahwa) are social hubs where people gather to drink coffee, play backgammon (tawla), and socialize\n- **Tea vs. Coffee:** Tea (shai) is actually more commonly consumed, but coffee holds significant cultural importance\n- **S\u5496\u5561 trends:** Modern coffee shops (like Starbucks, Caribou, etc.) have expanded rapidly in Cairo and other cities\n\n**Traditional Egyptian coffee preparation:**\n\n- Made with finely ground beans\n- Often brewed with cardamom\n- Served sweet\n- Prepared in a *cezve* (Ibrik)\n\nWould you like more specific information about coffee shops, coffee culture, or something else in Egypt?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:46:56.434132",
+    "last_used": "2026-04-07T23:46:56.434152"
+  },
+  {
+    "id": "42a59bd494859d21",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "I apologize for the delay. Let me search for information about coffee in Egypt now:\n\n---\n\n## Coffee in Egypt\n\n**Key facts:**\n\n- **Coffee consumption:** Egypt is one of the largest coffee consumers in the Middle East and Africa\n- **Popular drink:** *Ahwa* (Arabic coffee) is the traditional beverage, often flavored with cardamom\n- **Major import:** Egypt imports significant amounts of coffee, primarily from Brazil, Vietnam, and Indonesia\n- **Caf\u00e9 culture:** Egyptian caf\u00e9s (ahwa) are social hubs where people gather to drink coffee, play backgammon (tawla), and socialize\n- **Tea vs. Coffee:** Tea (shai) is actually more commonly consumed, but coffee holds significant cultural importance\n- **S\u5496\u5561 trends:** Modern coffee shops (like Starbucks, Caribou, etc.) have expanded rapidly in Cairo and other cities\n\n**Traditional Egyptian coffee preparation:**\n\n- Made with finely ground beans\n- Often brewed with cardamom\n- Served sweet\n- Prepared in a *cezve* (Ibrik)\n\nWould you like more specific information about coffee shops, coffee culture, or something else in Egypt?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:46:56.436074",
+    "last_used": "2026-04-07T23:46:56.436082"
+  },
+  {
+    "id": "13af1f10ce6575fc",
+    "pattern_type": "searching",
+    "description": "Pattern for chat",
+    "code_snippet": "I apologize for the delay. Let me search for information about coffee in Egypt now:\n\n---\n\n## Coffee in Egypt\n\n**Key facts:**\n\n- **Coffee consumption:** Egypt is one of the largest coffee consumers in the Middle East and Africa\n- **Popular drink:** *Ahwa* (Arabic coffee) is the traditional beverage, often flavored with cardamom\n- **Major import:** Egypt imports significant amounts of coffee, primarily from Brazil, Vietnam, and Indonesia\n- **Caf\u00e9 culture:** Egyptian caf\u00e9s (ahwa) are social hubs where people gather to drink coffee, play backgammon (tawla), and socialize\n- **Tea vs. Coffee:** Tea (shai) is actually more commonly consumed, but coffee holds significant cultural importance\n- **S\u5496\u5561 trends:** Modern coffee shops (like Starbucks, Caribou, etc.) have expanded rapidly in Cairo and other cities\n\n**Traditional Egyptian coffee preparation:**\n\n- Made with finely ground beans\n- Often brewed with cardamom\n- Served sweet\n- Prepared in a *cezve* (Ibrik)\n\nWould you like more specific information about coffee shops, coffee culture, or something else in Egypt?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:46:56.437632",
+    "last_used": "2026-04-07T23:46:56.437642"
+  },
+  {
+    "id": "ad8aad81a9974670",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "Got it! I'll use English only - no Chinese characters.\n\nIs there anything specific about coffee in Egypt you'd like to know more about? For example:\n\n- Coffee shops in Cairo\n- Import statistics\n- Traditional coffee culture",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:48:29.685313",
+    "last_used": "2026-04-07T23:48:29.685321"
+  },
+  {
+    "id": "b529c8100b7c0a19",
+    "pattern_type": "searching",
+    "description": "Pattern for chat",
+    "code_snippet": "Got it! I'll use English only - no Chinese characters.\n\nIs there anything specific about coffee in Egypt you'd like to know more about? For example:\n\n- Coffee shops in Cairo\n- Import statistics\n- Traditional coffee culture",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:48:29.686412",
+    "last_used": "2026-04-07T23:48:29.686415"
+  },
+  {
+    "id": "034d98da3ad32e87",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "I don't have the ability to browse the internet or access real-time news. However, here are some great ways to stay updated on the latest AI news:\n\n**Popular AI News Sources:**\n- **TechCrunch** - AI section\n- **The Verge** - AI coverage\n- **Wired** - AI news\n- **MIT Technology Review** - AI & robotics\n- **VentureBeat** - AI news\n- **Ars Technica** - AI section\n- **Reuters** - Technology/AI\n- **AI News** (ainews.com)\n\n**AI-Specific Platforms:**\n- **OpenAI Blog** - Latest developments from OpenAI\n- **Google AI Blog** - Research updates\n- **Microsoft AI Blog** - AI news from Microsoft\n- **Anthropic Blog** - AI safety and research\n\n**Aggregator Sites:**\n- **Hacker News** (news.ycombinator.com)\n- **Reddit** - r/MachineLearning, r/ArtificialIntelligence\n\nWould you like me to help you with something else, such as:\n- Explaining a specific AI concept?\n- Writing code related to AI/ML?\n- Discussing recent AI developments from my knowledge cutoff?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:56:37.872700",
+    "last_used": "2026-04-07T23:56:37.872714"
+  },
+  {
+    "id": "bb44e9d557caf48a",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "As Stack 2.9, a coding assistant, here are the tools typically available to me:\n\n**Available Tools:**\n\n1. **Code Execution** - Write and run code in Python, JavaScript, and other languages\n\n2. **File Operations** - Read, write, edit files\n\n3. **Terminal Commands** - Run shell commands\n\n4. **Search** - Search through available knowledge/codebase\n\n**Limitations:**\n\n- \u274c No real-time web browsing\n- \u274c No access to current news/events\n- \u274c Limited to my training knowledge (cutoff dates)\n\n---\n\n**What I CAN help with:**\n\n- Debugging code\n- Writing new code\n- Explaining concepts\n- Reviewing code\n- Running scripts\n- File manipulation\n\n---\n\nIs there something specific you'd like me to help you with? If you need current AI news, I'd recommend checking the sources I mentioned earlier, or if you have a specific coding task, I can assist with that directly.",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:59:52.297104",
+    "last_used": "2026-04-07T23:59:52.297133"
+  },
+  {
+    "id": "942a99165b588ffe",
+    "pattern_type": "searching",
+    "description": "Pattern for chat",
+    "code_snippet": "As Stack 2.9, a coding assistant, here are the tools typically available to me:\n\n**Available Tools:**\n\n1. **Code Execution** - Write and run code in Python, JavaScript, and other languages\n\n2. **File Operations** - Read, write, edit files\n\n3. **Terminal Commands** - Run shell commands\n\n4. **Search** - Search through available knowledge/codebase\n\n**Limitations:**\n\n- \u274c No real-time web browsing\n- \u274c No access to current news/events\n- \u274c Limited to my training knowledge (cutoff dates)\n\n---\n\n**What I CAN help with:**\n\n- Debugging code\n- Writing new code\n- Explaining concepts\n- Reviewing code\n- Running scripts\n- File manipulation\n\n---\n\nIs there something specific you'd like me to help you with? If you need current AI news, I'd recommend checking the sources I mentioned earlier, or if you have a specific coding task, I can assist with that directly.",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-07T23:59:52.300000",
+    "last_used": "2026-04-07T23:59:52.300013"
+  },
+  {
+    "id": "338359bef56a271a",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "Tool result: {'success': True, 'files': ['modelcard.yml', 'MODEL_CARD.md', 'README.md', 'src/cli/agent.py', 'src/cli/main.py', 'src/cli/tools.py', 'stack/training/pattern_miner.py', 'chat_local.py', 'chat_simple.py', 'run_local.py', 'stack/training/patterns/', 'training-data/'], 'count': 12, 'repo': '.'}",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T00:58:11.382372",
+    "last_used": "2026-04-08T00:58:11.382375"
+  },
+  {
+    "id": "f38aed3188de5355",
+    "pattern_type": "iteration",
+    "description": "Pattern for chat",
+    "code_snippet": "I'll search for the latest AI news for you.",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T01:12:59.648940",
+    "last_used": "2026-04-08T01:12:59.648947"
+  },
+  {
+    "id": "76797df834e01f19",
+    "pattern_type": "iteration",
+    "description": "Pattern for chat",
+    "code_snippet": "I'll search for the latest AI news now.\n<FunctionCall>\n- tool: web_search\n- args: --query \"latest AI news 2025\", --max_results 10\n</FunctionCall>",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T01:14:15.377981",
+    "last_used": "2026-04-08T01:14:15.377987"
+  },
+  {
+    "id": "4e894385e8793763",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "I'll search for the latest AI news now.\n<FunctionCall>\n- tool: web_search\n- args: --query \"latest AI news 2025\", --max_results 10\n</FunctionCall>",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T01:14:15.379475",
+    "last_used": "2026-04-08T01:14:15.379480"
+  },
+  {
+    "id": "788d33ac809a695c",
+    "pattern_type": "iteration",
+    "description": "Pattern for chat",
+    "code_snippet": "Here are all the tools I have access to:\n\n1. **web_search** - Search the web for current information\n2. **fetch** - Get content from a URL\n3. **run** - Execute shell commands\n4. **read/write/edit** - File operations\n5. **git operations** - git_status, git_commit, git_push, etc.\n6. **memory** - Save and recall information\n7. **tasks** - Create, list, update, delete tasks\n\nI also have:\n- **Code interpreter** - I can write and execute code in Python (and other languages in some contexts)\n- **Image analysis** - I can analyze images when provided\n\nIs there a specific tool you'd like me to use, or would you like more details about any of these?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T01:52:22.917094",
+    "last_used": "2026-04-08T01:52:22.917121"
+  },
+  {
+    "id": "e6df0f9dacb8e384",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "Here are all the tools I have access to:\n\n1. **web_search** - Search the web for current information\n2. **fetch** - Get content from a URL\n3. **run** - Execute shell commands\n4. **read/write/edit** - File operations\n5. **git operations** - git_status, git_commit, git_push, etc.\n6. **memory** - Save and recall information\n7. **tasks** - Create, list, update, delete tasks\n\nI also have:\n- **Code interpreter** - I can write and execute code in Python (and other languages in some contexts)\n- **Image analysis** - I can analyze images when provided\n\nIs there a specific tool you'd like me to use, or would you like more details about any of these?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T01:52:22.919379",
+    "last_used": "2026-04-08T01:52:22.919390"
+  },
+  {
+    "id": "865b0e6a908f1613",
+    "pattern_type": "searching",
+    "description": "Pattern for chat",
+    "code_snippet": "Here are all the tools I have access to:\n\n1. **web_search** - Search the web for current information\n2. **fetch** - Get content from a URL\n3. **run** - Execute shell commands\n4. **read/write/edit** - File operations\n5. **git operations** - git_status, git_commit, git_push, etc.\n6. **memory** - Save and recall information\n7. **tasks** - Create, list, update, delete tasks\n\nI also have:\n- **Code interpreter** - I can write and execute code in Python (and other languages in some contexts)\n- **Image analysis** - I can analyze images when provided\n\nIs there a specific tool you'd like me to use, or would you like more details about any of these?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T01:52:22.921143",
+    "last_used": "2026-04-08T01:52:22.921150"
+  },
+  {
+    "id": "a8a028dd1cf3c45f",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "Here's how the **memory** tool works:\n\n### Save Information\n```python\nmemory.create(\n    content=\"Important note about the project\",\n    context=\"Project deadline is March 15th\"\n)\n```\n\n### Recall/Search Information\n```python\nmemory.read(id=\"123\")\nmemory.search(query=\"project deadline\")\n```\n\n### List All Saved Memories\n```python\nmemory.list()\n```\n\n### Update a Memory\n```python\nmemory.update(id=\"123\", content=\"Updated note\")\n```\n\n### Delete a Memory\n```python\nmemory.delete(id=\"123\")\n```\n\n---\n\n**Example use cases:**\n- Remember user preferences or settings\n- Store important project details\n- Keep track of context across conversations\n- Save code snippets or configurations\n\nWould you like me to demonstrate this tool with an example?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T01:54:26.399043",
+    "last_used": "2026-04-08T01:54:26.399062"
+  },
+  {
+    "id": "50f956e10bf79332",
+    "pattern_type": "file_io",
+    "description": "Pattern for chat",
+    "code_snippet": "Here's how the **memory** tool works:\n\n### Save Information\n```python\nmemory.create(\n    content=\"Important note about the project\",\n    context=\"Project deadline is March 15th\"\n)\n```\n\n### Recall/Search Information\n```python\nmemory.read(id=\"123\")\nmemory.search(query=\"project deadline\")\n```\n\n### List All Saved Memories\n```python\nmemory.list()\n```\n\n### Update a Memory\n```python\nmemory.update(id=\"123\", content=\"Updated note\")\n```\n\n### Delete a Memory\n```python\nmemory.delete(id=\"123\")\n```\n\n---\n\n**Example use cases:**\n- Remember user preferences or settings\n- Store important project details\n- Keep track of context across conversations\n- Save code snippets or configurations\n\nWould you like me to demonstrate this tool with an example?",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T01:54:26.401617",
+    "last_used": "2026-04-08T01:54:26.401623"
+  },
+  {
+    "id": "5d7c0fea1b757c4e",
+    "pattern_type": "iteration",
+    "description": "Pattern for chat",
+    "code_snippet": "Hello! It's nice to meet you. How can I assist you today? Would you like to create a task, access some information, or perhaps perform a file operation? Let me know how I can help! \n\nAvailable tasks:\n\n1. Create a new task\n2. List all available tasks\n3. Update an existing task\n4. Delete a task\n\nChoose a number or type 'help' for more options.",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T02:21:33.692532",
+    "last_used": "2026-04-08T02:21:33.692539"
+  },
+  {
+    "id": "7172415d1664d22a",
+    "pattern_type": "iteration",
+    "description": "Pattern for chat",
+    "code_snippet": "Here are the currently stored tasks:\n\n1. (None)\n\nIt seems you've created an empty task list. If you'd like to create a new task, please type 'create task <task name>' and I'll add it to the list.\n\nWould you like to:\n1. Create a new task\n2. List all available tasks again\n3. Go back to the main menu\n\nChoose a number or type 'help' for more options.",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T02:22:09.139342",
+    "last_used": "2026-04-08T02:22:09.139348"
+  },
+  {
+    "id": "85925ce0e0b69cd7",
+    "pattern_type": "searching",
+    "description": "Pattern for chat",
+    "code_snippet": "Here are the currently stored tasks:\n\n1. (None)\n\nIt seems you've created an empty task list. If you'd like to create a new task, please type 'create task <task name>' and I'll add it to the list.\n\nWould you like to:\n1. Create a new task\n2. List all available tasks again\n3. Go back to the main menu\n\nChoose a number or type 'help' for more options.",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T02:22:09.140525",
+    "last_used": "2026-04-08T02:22:09.140527"
+  },
+  {
+    "id": "4bf51f42459000d0",
+    "pattern_type": "iteration",
+    "description": "Pattern for chat",
+    "code_snippet": "I'll try to read the file `README.md` for you.\n\nUnfortunately, I'm a text-based AI assistant and don't have direct access to your local file system. However, I can guide you on how to read the file.\n\nTo read the file, you can simply open it in your preferred text editor or terminal emulator.\n\nIf you'd like, I can also try to search for the contents of `README.md` online if that's available.\n\nWould you like me to:\n1. Provide steps to open and read the file locally\n2. Search for the contents of `README.md` online",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T02:22:38.010814",
+    "last_used": "2026-04-08T02:22:38.010830"
+  },
+  {
+    "id": "2bd7dcd84adeb6a0",
+    "pattern_type": "set_operations",
+    "description": "Pattern for chat",
+    "code_snippet": "I'll try to read the file `README.md` for you.\n\nUnfortunately, I'm a text-based AI assistant and don't have direct access to your local file system. However, I can guide you on how to read the file.\n\nTo read the file, you can simply open it in your preferred text editor or terminal emulator.\n\nIf you'd like, I can also try to search for the contents of `README.md` online if that's available.\n\nWould you like me to:\n1. Provide steps to open and read the file locally\n2. Search for the contents of `README.md` online",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T02:22:38.012882",
+    "last_used": "2026-04-08T02:22:38.012889"
+  },
+  {
+    "id": "a8cd6292b736c6ad",
+    "pattern_type": "searching",
+    "description": "Pattern for chat",
+    "code_snippet": "I'll try to read the file `README.md` for you.\n\nUnfortunately, I'm a text-based AI assistant and don't have direct access to your local file system. However, I can guide you on how to read the file.\n\nTo read the file, you can simply open it in your preferred text editor or terminal emulator.\n\nIf you'd like, I can also try to search for the contents of `README.md` online if that's available.\n\nWould you like me to:\n1. Provide steps to open and read the file locally\n2. Search for the contents of `README.md` online",
+    "success_count": 1,
+    "failure_count": 0,
+    "success_rate": 1.0,
+    "tags": [
+      "chat"
+    ],
+    "created_at": "2026-04-08T02:22:38.014573",
+    "last_used": "2026-04-08T02:22:38.014578"
+  }
+]

training-data/README.md

@@ -0,0 +1,182 @@
+# Stack 2.9 Training Data
+
+This directory contains synthetic training data for fine-tuning code generation models.
+
+## Directory Structure
+
+```
+training-data/
+├── README.md                           # This file
+├── tool_examples.jsonl                 # Tool-calling examples (Qwen2.5-Coder format)
+├── tool_examples.json                  # Same as above in JSON format
+├── code_completion/                    # Pure code completion examples
+│   ├── code_completion.jsonl
+│   └── code_completion.json
+└── training-data-expanded/            # Additional generated data
+    └── tool_examples.jsonl             # 5000 expanded tool-calling examples
+```
+
+## Data Formats
+
+### Tool-Calling Examples
+
+**Format:** Qwen2.5-Coder style with `tool_calls`
+
+Each example contains:
+- `messages`: Array of conversation messages (system, user, assistant, tool)
+- `tools`: Array of tool definitions
+
+**Example structure:**
+```json
+{
+  "messages": [
+    {"role": "system", "content": "You are a helpful AI assistant..."},
+    {"role": "user", "content": "Read the file at src/main.py..."},
+    {
+      "role": "assistant",
+      "content": null,
+      "tool_calls": [
+        {
+          "id": "call_1234",
+          "type": "function",
+          "function": {
+            "name": "FileRead",
+            "arguments": "{\"path\": \"src/main.py\"}"
+          }
+        }
+      ]
+    },
+    {
+      "role": "tool",
+      "content": "Successfully read file: src/main.py\n...",
+      "tool_call_id": "call_1234",
+      "name": "FileRead"
+    },
+    {"role": "assistant", "content": "Here's the contents..."}
+  ],
+  "tools": [...]
+}
+```
+
+**Available Tools:**
+- `Bash` - Execute bash commands
+- `FileRead` - Read file contents
+- `FileWrite` - Write/create files
+- `WebSearch` - Search the web
+- `Grep` - Search patterns in files
+
+### Code Completion Examples
+
+**Format:** Chat-based with context and completion
+
+Each example contains:
+- `messages`: Array of conversation messages
+- `language`: Programming language (python, javascript, go, rust, typescript)
+- `difficulty`: easy, medium, hard
+- `variant`: basic, explain, debug, optimize
+- `context`: The code context to complete
+- `completion`: The expected completion
+
+**Example structure:**
+```json
+{
+  "messages": [
+    {"role": "system", "content": "You are a helpful AI assistant..."},
+    {"role": "user", "content": "Complete the following code:\n```python\ndef greet(name):\n```"},
+    {"role": "assistant", "content": "Here's the completed code:\n```python\ndef greet(name):\n    return f\"Hello, {name}!\"\n```"}
+  ],
+  "language": "python",
+  "difficulty": "easy",
+  "variant": "basic",
+  "description": "Simple function that returns a greeting",
+  "context": "def greet(name):",
+  "completion": "    return f\"Hello, {name}!\""
+}
+```
+
+## Generation Scripts
+
+### Tool Data Generator
+
+```bash
+python3 scripts/generate_tool_data.py \
+    --num-examples 5000 \
+    --output-dir training-data-expanded \
+    --output-format jsonl
+```
+
+### Code Completion Generator
+
+```bash
+python3 scripts/generate_code_completion_data.py \
+    --num-examples 1000 \
+    --output-dir training-data/code-completion \
+    --languages python javascript go rust typescript \
+    --difficulties easy medium hard \
+    --variants basic explain debug optimize
+```
+
+## Difficulty Levels
+
+| Level | Description |
+|-------|-------------|
+| **easy** | Simple functions, basic operations, single concepts |
+| **medium** | Intermediate patterns, async operations, error handling |
+| **hard** | Complex algorithms, data structures, design patterns |
+
+## Variants
+
+| Variant | Description |
+|---------|-------------|
+| **basic** | Standard code completion |
+| **explain** | Code completion with explanation |
+| **debug** | Bug fixing and completion |
+| **optimize** | Performance optimization and completion |
+
+## Supported Languages
+
+- Python
+- JavaScript
+- Go
+- Rust
+- TypeScript
+
+## Usage
+
+### Training with MLflow
+
+```bash
+mlflow run . -P num_examples=5000
+```
+
+### Loading Data for Training
+
+```python
+import json
+
+# Load JSONL
+with open("training-data/tool_examples.jsonl", "r") as f:
+    for line in f:
+        example = json.loads(line)
+        # Process example
+        pass
+
+# Load JSON
+with open("training-data/tool_examples.json", "r") as f:
+    data = json.load(f)
+```
+
+## Augmentation
+
+The tool-calling generator applies augmentation to create diversity:
+- Varying file paths
+- Varying command options
+- Varying search queries
+- Varying code snippets
+
+## Quality Guidelines
+
+- All generated code is syntactically correct
+- Examples include realistic context
+- Tools have proper arguments and responses
+- Code completions are deterministic and correct