Text Generation
Transformers
English
qwen2
code-generation
python
fine-tuning
Qwen
tools
agent-framework
multi-agent
conversational
Eval Results (legacy)
Instructions to use my-ai-stack/Stack-2-9-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use my-ai-stack/Stack-2-9-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="my-ai-stack/Stack-2-9-finetuned") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("my-ai-stack/Stack-2-9-finetuned") model = AutoModelForCausalLM.from_pretrained("my-ai-stack/Stack-2-9-finetuned") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use my-ai-stack/Stack-2-9-finetuned with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "my-ai-stack/Stack-2-9-finetuned" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "my-ai-stack/Stack-2-9-finetuned", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/my-ai-stack/Stack-2-9-finetuned
- SGLang
How to use my-ai-stack/Stack-2-9-finetuned with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "my-ai-stack/Stack-2-9-finetuned" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "my-ai-stack/Stack-2-9-finetuned", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "my-ai-stack/Stack-2-9-finetuned" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "my-ai-stack/Stack-2-9-finetuned", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use my-ai-stack/Stack-2-9-finetuned with Docker Model Runner:
docker model run hf.co/my-ai-stack/Stack-2-9-finetuned
| #!/usr/bin/env python3 | |
| """ | |
| Unit Tests for Stack 2.9 Agent Module | |
| """ | |
| import pytest | |
| import sys | |
| from pathlib import Path | |
| from unittest.mock import MagicMock, patch | |
| # Add stack_cli to path | |
| sys.path.insert(0, str(Path(__file__).parent.parent / "stack_cli")) | |
| from stack_cli.agent import ( | |
| QueryIntent, | |
| ToolCall, | |
| AgentResponse, | |
| QueryUnderstanding, | |
| ToolSelector, | |
| ResponseGenerator, | |
| SelfReflection, | |
| StackAgent, | |
| create_agent | |
| ) | |
| class TestQueryIntent: | |
| """Test QueryIntent enum.""" | |
| def test_intent_values(self): | |
| """Verify all intent values.""" | |
| assert QueryIntent.FILE_READ.value == "file_read" | |
| assert QueryIntent.FILE_WRITE.value == "file_write" | |
| assert QueryIntent.FILE_EDIT.value == "file_edit" | |
| assert QueryIntent.FILE_SEARCH.value == "file_search" | |
| assert QueryIntent.GIT_OPERATION.value == "git_operation" | |
| assert QueryIntent.CODE_EXECUTION.value == "code_execution" | |
| assert QueryIntent.WEB_SEARCH.value == "web_search" | |
| assert QueryIntent.MEMORY.value == "memory" | |
| assert QueryIntent.TASK.value == "task" | |
| assert QueryIntent.QUESTION.value == "question" | |
| assert QueryIntent.GENERAL.value == "general" | |
| class TestToolCall: | |
| """Test ToolCall dataclass.""" | |
| def test_tool_call_creation(self): | |
| """Create a basic tool call.""" | |
| call = ToolCall( | |
| tool_name="read", | |
| arguments={"path": "test.py"}, | |
| result={"success": True}, | |
| success=True | |
| ) | |
| assert call.tool_name == "read" | |
| assert call.arguments == {"path": "test.py"} | |
| assert call.success is True | |
| assert call.error is None | |
| def test_tool_call_with_error(self): | |
| """Create a tool call with error.""" | |
| call = ToolCall( | |
| tool_name="read", | |
| arguments={"path": "missing.py"}, | |
| error="File not found", | |
| success=False | |
| ) | |
| assert call.success is False | |
| assert call.error == "File not found" | |
| class TestAgentResponse: | |
| """Test AgentResponse dataclass.""" | |
| def test_agent_response_creation(self): | |
| """Create a basic agent response.""" | |
| response = AgentResponse( | |
| content="Test response", | |
| tool_calls=[], | |
| confidence=0.9 | |
| ) | |
| assert response.content == "Test response" | |
| assert len(response.tool_calls) == 0 | |
| assert response.confidence == 0.9 | |
| assert response.needs_clarification is False | |
| class TestQueryUnderstanding: | |
| """Test QueryUnderstanding class.""" | |
| def setup_method(self): | |
| """Set up test instance.""" | |
| self.qu = QueryUnderstanding() | |
| def test_parse_file_read(self): | |
| """Test parsing file read queries.""" | |
| result = self.qu.parse("read README.md") | |
| assert result["intent"] == "file_read" | |
| assert result["confidence"] > 0 | |
| def test_parse_file_write(self): | |
| """Test parsing file write queries.""" | |
| result = self.qu.parse("write test.py with content") | |
| assert result["intent"] == "file_write" | |
| assert result["confidence"] > 0 | |
| def test_parse_git_operation(self): | |
| """Test parsing git operations.""" | |
| result = self.qu.parse("git status") | |
| assert result["intent"] == "git_operation" | |
| assert result["confidence"] > 0 | |
| def test_parse_web_search(self): | |
| """Test parsing web search queries.""" | |
| result = self.qu.parse("search the web for python") | |
| assert result["intent"] == "web_search" | |
| assert result["confidence"] > 0 | |
| def test_parse_general(self): | |
| """Test parsing general queries.""" | |
| result = self.qu.parse("hello world") | |
| assert result["intent"] == "general" | |
| assert result["confidence"] == 0.5 | |
| def test_parse_case_insensitive(self): | |
| """Test case insensitive parsing.""" | |
| result1 = self.qu.parse("READ README.md") | |
| result2 = self.qu.parse("read readme.md") | |
| assert result1["intent"] == result2["intent"] == "file_read" | |
| def test_extract_file_path(self): | |
| """Test file path extraction.""" | |
| path = self.qu.extract_file_path("read test.py") | |
| assert path == "test.py" | |
| path = self.qu.extract_file_path("read my_project/src/main.py") | |
| assert path == "my_project/src/main.py" | |
| class TestToolSelector: | |
| """Test ToolSelector class.""" | |
| def setup_method(self): | |
| """Set up test instance.""" | |
| self.ts = ToolSelector() | |
| def test_select_file_read_tools(self): | |
| """Test tool selection for file read.""" | |
| tools = self.ts.select("file_read", {}) | |
| assert "read" in tools | |
| def test_select_git_tools(self): | |
| """Test tool selection for git.""" | |
| tools = self.ts.select("git_operation", {}) | |
| assert "git_status" in tools | |
| def test_select_web_search_tools(self): | |
| """Test tool selection for web search.""" | |
| tools = self.ts.select("web_search", {}) | |
| assert "web_search" in tools | |
| def test_select_general_tools(self): | |
| """Test tool selection for general intent.""" | |
| tools = self.ts.select("general", {}) | |
| # Should include general tools | |
| assert "run" in tools | |
| assert "context_load" in tools | |
| def test_get_tool_parameters_read(self): | |
| """Test parameter extraction for read tool.""" | |
| params = self.ts.get_tool_parameters("read", "read test.py", {}) | |
| assert "path" in params | |
| def test_get_tool_parameters_git_commit(self): | |
| """Test parameter extraction for git commit.""" | |
| params = self.ts.get_tool_parameters("git_commit", 'commit "fix bug"', {}) | |
| assert "message" in params | |
| class TestResponseGenerator: | |
| """Test ResponseGenerator class.""" | |
| def setup_method(self): | |
| """Set up test instance.""" | |
| with patch('stack_cli.agent.create_context_manager'): | |
| self.rg = ResponseGenerator() | |
| def test_generate_empty(self): | |
| """Test generating response for empty tool calls.""" | |
| result = self.rg.generate([], "general", {}) | |
| assert "couldn't find" in result.lower() or "no results" in result.lower() | |
| def test_generate_with_success(self): | |
| """Test generating response for successful tool calls.""" | |
| tool_calls = [ | |
| ToolCall( | |
| tool_name="read", | |
| arguments={"path": "test.py"}, | |
| result={"success": True, "content": "test content"}, | |
| success=True | |
| ) | |
| ] | |
| result = self.rg.generate(tool_calls, "file_read", {}) | |
| assert "read" in result.lower() | |
| assert "test content" in result | |
| def test_generate_with_error(self): | |
| """Test generating response for failed tool calls.""" | |
| tool_calls = [ | |
| ToolCall( | |
| tool_name="read", | |
| arguments={"path": "missing.py"}, | |
| result={"success": False, "error": "File not found"}, | |
| success=False | |
| ) | |
| ] | |
| result = self.rg.generate(tool_calls, "file_read", {}) | |
| assert "error" in result.lower() or "not found" in result.lower() | |
| def test_generate_clarification(self): | |
| """Test clarification generation.""" | |
| question = "Which file do you want to read?" | |
| result = self.rg.generate_clarification(question) | |
| assert "clarification" in result.lower() | |
| assert question in result | |
| class TestSelfReflection: | |
| """Test SelfReflection class.""" | |
| def setup_method(self): | |
| """Set up test instance.""" | |
| self.sr = SelfReflection() | |
| def test_reflect_high_confidence(self): | |
| """Test reflection with high confidence.""" | |
| tool_calls = [ | |
| ToolCall(tool_name="read", arguments={}, result={"success": True}, success=True), | |
| ToolCall(tool_name="write", arguments={}, result={"success": True}, success=True) | |
| ] | |
| result = self.sr.reflect("test query", tool_calls, "Good response content here") | |
| assert result["needs_reflection"] is False | |
| assert result["confidence"] >= 0.7 | |
| def test_reflect_low_confidence(self): | |
| """Test reflection with failed tool calls.""" | |
| tool_calls = [ | |
| ToolCall(tool_name="read", arguments={}, error="Failed", success=False) | |
| ] | |
| result = self.sr.reflect("test query", tool_calls, "Short") | |
| assert result["needs_reflection"] is True | |
| assert result["failed_calls"] > 0 | |
| def test_reflect_empty_response(self): | |
| """Test reflection with empty response.""" | |
| tool_calls = [] | |
| result = self.sr.reflect("test query", tool_calls, "") | |
| assert result["needs_reflection"] is True | |
| assert result["response_length"] == 0 | |
| class TestStackAgent: | |
| """Test StackAgent class.""" | |
| def setup_method(self): | |
| """Set up test instance.""" | |
| with patch('stack_cli.context.create_context_manager'): | |
| self.agent = StackAgent() | |
| def test_agent_creation(self): | |
| """Test agent is created correctly.""" | |
| assert self.agent is not None | |
| assert self.agent.query_understanding is not None | |
| assert self.agent.tool_selector is not None | |
| assert self.agent.response_generator is not None | |
| assert self.agent.self_reflection is not None | |
| def test_process_simple_query(self): | |
| """Test processing a simple query.""" | |
| with patch('stack_cli.tools.get_tool') as mock_get_tool: | |
| mock_tool = MagicMock(return_value={"success": True, "content": "test"}) | |
| mock_get_tool.return_value = mock_tool | |
| response = self.agent.process("read test.py") | |
| assert response is not None | |
| assert response.content is not None | |
| assert isinstance(response, AgentResponse) | |
| def test_process_with_tools(self): | |
| """Test processing with forced tools.""" | |
| with patch('stack_cli.tools.get_tool') as mock_get_tool: | |
| mock_tool = MagicMock(return_value={"success": True}) | |
| mock_get_tool.return_value = mock_tool | |
| response = self.agent.process_with_tools("test", ["read"]) | |
| assert response is not None | |
| assert isinstance(response, AgentResponse) | |
| def test_get_context(self): | |
| """Test getting context.""" | |
| context = self.agent.get_context() | |
| assert context is not None | |
| assert isinstance(context, str) | |
| def test_get_schemas(self): | |
| """Test getting tool schemas.""" | |
| schemas = self.agent.get_schemas() | |
| assert isinstance(schemas, list) | |
| if schemas: | |
| assert "name" in schemas[0] | |
| assert "description" in schemas[0] | |
| class TestCreateAgent: | |
| """Test create_agent factory function.""" | |
| def test_create_agent_default(self): | |
| """Test creating agent with defaults.""" | |
| with patch('stack_cli.context.create_context_manager'): | |
| agent = create_agent() | |
| assert agent is not None | |
| assert isinstance(agent, StackAgent) | |
| def test_create_agent_custom_workspace(self): | |
| """Test creating agent with custom workspace.""" | |
| with patch('stack_cli.context.create_context_manager'): | |
| agent = create_agent("/custom/path") | |
| assert agent is not None | |
| assert isinstance(agent, StackAgent) | |
| if __name__ == "__main__": | |
| pytest.main([__file__, "-v"]) | |