Text Generation
Safetensors
GGUF
English
gemma3_text
function-calling
tool-use
dispatcher
delia
gemma
conversational
Instructions to use devopsforflops/functiongemma-270m-delia-dispatcher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use devopsforflops/functiongemma-270m-delia-dispatcher with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="devopsforflops/functiongemma-270m-delia-dispatcher", filename="functiongemma-270m-delia-dispatcher-f16.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use devopsforflops/functiongemma-270m-delia-dispatcher with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf devopsforflops/functiongemma-270m-delia-dispatcher:F16 # Run inference directly in the terminal: llama-cli -hf devopsforflops/functiongemma-270m-delia-dispatcher:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf devopsforflops/functiongemma-270m-delia-dispatcher:F16 # Run inference directly in the terminal: llama-cli -hf devopsforflops/functiongemma-270m-delia-dispatcher:F16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf devopsforflops/functiongemma-270m-delia-dispatcher:F16 # Run inference directly in the terminal: ./llama-cli -hf devopsforflops/functiongemma-270m-delia-dispatcher:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf devopsforflops/functiongemma-270m-delia-dispatcher:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf devopsforflops/functiongemma-270m-delia-dispatcher:F16
Use Docker
docker model run hf.co/devopsforflops/functiongemma-270m-delia-dispatcher:F16
- LM Studio
- Jan
- vLLM
How to use devopsforflops/functiongemma-270m-delia-dispatcher with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "devopsforflops/functiongemma-270m-delia-dispatcher" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "devopsforflops/functiongemma-270m-delia-dispatcher", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/devopsforflops/functiongemma-270m-delia-dispatcher:F16
- Ollama
How to use devopsforflops/functiongemma-270m-delia-dispatcher with Ollama:
ollama run hf.co/devopsforflops/functiongemma-270m-delia-dispatcher:F16
- Unsloth Studio new
How to use devopsforflops/functiongemma-270m-delia-dispatcher with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for devopsforflops/functiongemma-270m-delia-dispatcher to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for devopsforflops/functiongemma-270m-delia-dispatcher to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for devopsforflops/functiongemma-270m-delia-dispatcher to start chatting
- Pi new
How to use devopsforflops/functiongemma-270m-delia-dispatcher with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf devopsforflops/functiongemma-270m-delia-dispatcher:F16
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "devopsforflops/functiongemma-270m-delia-dispatcher:F16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use devopsforflops/functiongemma-270m-delia-dispatcher with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf devopsforflops/functiongemma-270m-delia-dispatcher:F16
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default devopsforflops/functiongemma-270m-delia-dispatcher:F16
Run Hermes
hermes
- Docker Model Runner
How to use devopsforflops/functiongemma-270m-delia-dispatcher with Docker Model Runner:
docker model run hf.co/devopsforflops/functiongemma-270m-delia-dispatcher:F16
- Lemonade
How to use devopsforflops/functiongemma-270m-delia-dispatcher with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull devopsforflops/functiongemma-270m-delia-dispatcher:F16
Run and chat with the model
lemonade run user.functiongemma-270m-delia-dispatcher-F16
List all available models
lemonade list
Upload train.jsonl with huggingface_hub
Browse files- train.jsonl +82 -0
train.jsonl
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| 1 |
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{"text": "<start_of_turn>user\nRun the test suite<end_of_turn>\n<start_of_turn>model\nthought\nThis is an execution task.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Test execution request\"}}</tool_call><eos>"}
|
| 2 |
+
{"text": "<start_of_turn>user\nCreate a data validation schema<end_of_turn>\n<start_of_turn>model\nthought\nThis is a code generation task.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Schema code generation\"}}</tool_call><eos>"}
|
| 3 |
+
{"text": "<start_of_turn>user\nPlan the migration from monolith to microservices<end_of_turn>\n<start_of_turn>model\nthought\nThis requires high-level thinking.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Migration planning request\"}}</tool_call><eos>"}
|
| 4 |
+
{"text": "<start_of_turn>user\nCreate a REST API endpoint for user authentication<end_of_turn>\n<start_of_turn>model\nthought\nThis is a code generation task.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Code generation for API endpoint\"}}</tool_call><eos>"}
|
| 5 |
+
{"text": "<start_of_turn>user\nRun the linter on all files<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants to run or execute something.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Linter execution request\"}}</tool_call><eos>"}
|
| 6 |
+
{"text": "<start_of_turn>user\nPlan the disaster recovery strategy<end_of_turn>\n<start_of_turn>model\nthought\nThe user needs planning or design help.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"DR planning request\"}}</tool_call><eos>"}
|
| 7 |
+
{"text": "<start_of_turn>user\nImplement an LRU cache<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants code written or generated.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Data structure implementation\"}}</tool_call><eos>"}
|
| 8 |
+
{"text": "<start_of_turn>user\nFind potential race conditions<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants code analyzed or reviewed.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Concurrency analysis request\"}}</tool_call><eos>"}
|
| 9 |
+
{"text": "<start_of_turn>user\nPlan the database schema for a social network<end_of_turn>\n<start_of_turn>model\nthought\nPlanning or design request detected.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Schema planning request\"}}</tool_call><eos>"}
|
| 10 |
+
{"text": "<start_of_turn>user\nReview the authentication flow<end_of_turn>\n<start_of_turn>model\nthought\nCode review request detected.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Security flow review\"}}</tool_call><eos>"}
|
| 11 |
+
{"text": "<start_of_turn>user\nPlan the testing strategy<end_of_turn>\n<start_of_turn>model\nthought\nUser needs clarification or guidance.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Testing strategy request\"}}</tool_call><eos>"}
|
| 12 |
+
{"text": "<start_of_turn>user\nPlan the logging and monitoring setup<end_of_turn>\n<start_of_turn>model\nthought\nThis requires high-level thinking.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Monitoring planning request\"}}</tool_call><eos>"}
|
| 13 |
+
{"text": "<start_of_turn>user\nExecute the cleanup script<end_of_turn>\n<start_of_turn>model\nthought\nThis requires running commands or scripts.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Script execution request\"}}</tool_call><eos>"}
|
| 14 |
+
{"text": "<start_of_turn>user\nCreate a factory pattern for database backends<end_of_turn>\n<start_of_turn>model\nthought\nThis is a code generation task.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Design pattern implementation\"}}</tool_call><eos>"}
|
| 15 |
+
{"text": "<start_of_turn>user\nDeploy to production<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants to run or execute something.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Deployment execution request\"}}</tool_call><eos>"}
|
| 16 |
+
{"text": "<start_of_turn>user\nRun the performance benchmark<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants to run or execute something.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Benchmark execution request\"}}</tool_call><eos>"}
|
| 17 |
+
{"text": "<start_of_turn>user\nPlan the CI/CD pipeline<end_of_turn>\n<start_of_turn>model\nthought\nPlanning or design request detected.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"DevOps planning request\"}}</tool_call><eos>"}
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| 18 |
+
{"text": "<start_of_turn>user\nExecute the rollback procedure<end_of_turn>\n<start_of_turn>model\nthought\nThis is an execution task.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Rollback execution request\"}}</tool_call><eos>"}
|
| 19 |
+
{"text": "<start_of_turn>user\nStart the background workers<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants to run or execute something.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Worker execution request\"}}</tool_call><eos>"}
|
| 20 |
+
{"text": "<start_of_turn>user\nDesign the data backup strategy<end_of_turn>\n<start_of_turn>model\nthought\nPlanning or design request detected.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Backup strategy planning\"}}</tool_call><eos>"}
|
| 21 |
+
{"text": "<start_of_turn>user\nPlan the feature rollout<end_of_turn>\n<start_of_turn>model\nthought\nThis requires high-level thinking.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Feature planning request\"}}</tool_call><eos>"}
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| 22 |
+
{"text": "<start_of_turn>user\nDo the thing<end_of_turn>\n<start_of_turn>model\nthought\nThe request is vague or unclear, needs clarification.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Completely ambiguous request\"}}</tool_call><eos>"}
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| 23 |
+
{"text": "<start_of_turn>user\nRun the integration tests<end_of_turn>\n<start_of_turn>model\nthought\nUser is asking to perform an action.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Integration test execution\"}}</tool_call><eos>"}
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| 24 |
+
{"text": "<start_of_turn>user\nStart the monitoring agents<end_of_turn>\n<start_of_turn>model\nthought\nExecution request detected.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Agent execution request\"}}</tool_call><eos>"}
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| 25 |
+
{"text": "<start_of_turn>user\nFind unused variables and imports<end_of_turn>\n<start_of_turn>model\nthought\nCode review request detected.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Dead code analysis\"}}</tool_call><eos>"}
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| 26 |
+
{"text": "<start_of_turn>user\nWrite a websocket server in Python<end_of_turn>\n<start_of_turn>model\nthought\nThis is a code generation task.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Server implementation request\"}}</tool_call><eos>"}
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| 27 |
+
{"text": "<start_of_turn>user\nCheck for hardcoded secrets<end_of_turn>\n<start_of_turn>model\nthought\nThis requires examining existing code.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Secret detection request\"}}</tool_call><eos>"}
|
| 28 |
+
{"text": "<start_of_turn>user\nRun the health checks<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants to run or execute something.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Health check execution\"}}</tool_call><eos>"}
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| 29 |
+
{"text": "<start_of_turn>user\nIdentify code smells in this class<end_of_turn>\n<start_of_turn>model\nthought\nThis requires examining existing code.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Code quality analysis\"}}</tool_call><eos>"}
|
| 30 |
+
{"text": "<start_of_turn>user\nDesign a caching strategy<end_of_turn>\n<start_of_turn>model\nthought\nUser needs clarification or guidance.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Caching strategy planning\"}}</tool_call><eos>"}
|
| 31 |
+
{"text": "<start_of_turn>user\nExecute the load test<end_of_turn>\n<start_of_turn>model\nthought\nThis is an execution task.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Load test execution\"}}</tool_call><eos>"}
|
| 32 |
+
{"text": "<start_of_turn>user\nDesign the authentication system<end_of_turn>\n<start_of_turn>model\nthought\nThis is an architecture or strategy task.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"System design request\"}}</tool_call><eos>"}
|
| 33 |
+
{"text": "<start_of_turn>user\nDesign a microservices architecture for an e-commerce platform<end_of_turn>\n<start_of_turn>model\nthought\nPlanning or design request detected.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Architecture design request\"}}</tool_call><eos>"}
|
| 34 |
+
{"text": "<start_of_turn>user\nIs this good?<end_of_turn>\n<start_of_turn>model\nthought\nThe request is vague or unclear, needs clarification.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Vague evaluation request without context\"}}</tool_call><eos>"}
|
| 35 |
+
{"text": "<start_of_turn>user\nDesign the event sourcing system<end_of_turn>\n<start_of_turn>model\nthought\nThis is an architecture or strategy task.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Architecture design\"}}</tool_call><eos>"}
|
| 36 |
+
{"text": "<start_of_turn>user\nRun the code formatter<end_of_turn>\n<start_of_turn>model\nthought\nUser is asking to perform an action.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Formatter execution request\"}}</tool_call><eos>"}
|
| 37 |
+
{"text": "<start_of_turn>user\nImplement retry logic with exponential backoff<end_of_turn>\n<start_of_turn>model\nthought\nThis is a code generation task.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Algorithm implementation with specific pattern\"}}</tool_call><eos>"}
|
| 38 |
+
{"text": "<start_of_turn>user\nReview the logging strategy<end_of_turn>\n<start_of_turn>model\nthought\nThis is a code analysis task.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Logging review request\"}}</tool_call><eos>"}
|
| 39 |
+
{"text": "<start_of_turn>user\nCheck this code for memory leaks<end_of_turn>\n<start_of_turn>model\nthought\nUser is asking for review or explanation.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Memory analysis request\"}}</tool_call><eos>"}
|
| 40 |
+
{"text": "<start_of_turn>user\nReview the exception handling<end_of_turn>\n<start_of_turn>model\nthought\nThis is a code analysis task.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Exception handling review\"}}</tool_call><eos>"}
|
| 41 |
+
{"text": "<start_of_turn>user\nImplement a state machine for order processing<end_of_turn>\n<start_of_turn>model\nthought\nThis is a code generation task.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"State machine implementation\"}}</tool_call><eos>"}
|
| 42 |
+
{"text": "<start_of_turn>user\nStart the docker containers<end_of_turn>\n<start_of_turn>model\nthought\nThis requires running commands or scripts.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Container execution request\"}}</tool_call><eos>"}
|
| 43 |
+
{"text": "<start_of_turn>user\nPlan the performance optimization<end_of_turn>\n<start_of_turn>model\nthought\nThe user needs planning or design help.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Optimization planning\"}}</tool_call><eos>"}
|
| 44 |
+
{"text": "<start_of_turn>user\nRun the database migrations<end_of_turn>\n<start_of_turn>model\nthought\nThis is an execution task.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Migration execution request\"}}</tool_call><eos>"}
|
| 45 |
+
{"text": "<start_of_turn>user\nCreate a CLI tool for file management<end_of_turn>\n<start_of_turn>model\nthought\nThis requires writing new code.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"CLI tool code generation\"}}</tool_call><eos>"}
|
| 46 |
+
{"text": "<start_of_turn>user\nCheck for proper input validation<end_of_turn>\n<start_of_turn>model\nthought\nUser is asking for review or explanation.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Input validation review\"}}</tool_call><eos>"}
|
| 47 |
+
{"text": "<start_of_turn>user\nCan you look at this?<end_of_turn>\n<start_of_turn>model\nthought\nThe request is vague or unclear, needs clarification.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Unclear request for attention\"}}</tool_call><eos>"}
|
| 48 |
+
{"text": "<start_of_turn>user\nDesign the API versioning strategy<end_of_turn>\n<start_of_turn>model\nthought\nThis requires high-level thinking.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"API strategy planning\"}}</tool_call><eos>"}
|
| 49 |
+
{"text": "<start_of_turn>user\nImplement a binary search algorithm in Python<end_of_turn>\n<start_of_turn>model\nthought\nUser is asking for implementation.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Algorithm implementation request\"}}</tool_call><eos>"}
|
| 50 |
+
{"text": "<start_of_turn>user\nCreate a rate limiter middleware<end_of_turn>\n<start_of_turn>model\nthought\nUser is asking for implementation.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Middleware code generation\"}}</tool_call><eos>"}
|
| 51 |
+
{"text": "<start_of_turn>user\nAnalyze the database query patterns<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants code analyzed or reviewed.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Query analysis request\"}}</tool_call><eos>"}
|
| 52 |
+
{"text": "<start_of_turn>user\nDesign the notification system<end_of_turn>\n<start_of_turn>model\nthought\nThe user needs planning or design help.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"System design request\"}}</tool_call><eos>"}
|
| 53 |
+
{"text": "<start_of_turn>user\nAnalyze the performance of this algorithm<end_of_turn>\n<start_of_turn>model\nthought\nThis requires examining existing code.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Performance analysis request\"}}</tool_call><eos>"}
|
| 54 |
+
{"text": "<start_of_turn>user\nDesign the multi-tenancy approach<end_of_turn>\n<start_of_turn>model\nthought\nUser needs clarification or guidance.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Architecture planning\"}}</tool_call><eos>"}
|
| 55 |
+
{"text": "<start_of_turn>user\nExplain how this code works<end_of_turn>\n<start_of_turn>model\nthought\nThis is a code analysis task.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Code explanation request\"}}</tool_call><eos>"}
|
| 56 |
+
{"text": "<start_of_turn>user\nWrite unit tests for the User model<end_of_turn>\n<start_of_turn>model\nthought\nThis requires writing new code.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Test code generation request\"}}</tool_call><eos>"}
|
| 57 |
+
{"text": "<start_of_turn>user\nImplement a caching decorator<end_of_turn>\n<start_of_turn>model\nthought\nThis requires writing new code.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Decorator implementation request\"}}</tool_call><eos>"}
|
| 58 |
+
{"text": "<start_of_turn>user\nStart the development server<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants to run or execute something.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Server execution request\"}}</tool_call><eos>"}
|
| 59 |
+
{"text": "<start_of_turn>user\nDesign the error handling approach<end_of_turn>\n<start_of_turn>model\nthought\nThe user needs planning or design help.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Error handling strategy\"}}</tool_call><eos>"}
|
| 60 |
+
{"text": "<start_of_turn>user\nIt's not working<end_of_turn>\n<start_of_turn>model\nthought\nThe request is vague or unclear, needs clarification.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Unclear issue, needs more context\"}}</tool_call><eos>"}
|
| 61 |
+
{"text": "<start_of_turn>user\nImplement pagination for the API<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants code written or generated.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Feature implementation request\"}}</tool_call><eos>"}
|
| 62 |
+
{"text": "<start_of_turn>user\nMake it better<end_of_turn>\n<start_of_turn>model\nthought\nThe request is vague or unclear, needs clarification.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Vague improvement request, needs specifics\"}}</tool_call><eos>"}
|
| 63 |
+
{"text": "<start_of_turn>user\nFind bugs in this function<end_of_turn>\n<start_of_turn>model\nthought\nCode review request detected.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Bug hunting request\"}}</tool_call><eos>"}
|
| 64 |
+
{"text": "<start_of_turn>user\nHelp me<end_of_turn>\n<start_of_turn>model\nthought\nThe request is vague or unclear, needs clarification.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Vague request with no specific task, needs clarification\"}}</tool_call><eos>"}
|
| 65 |
+
{"text": "<start_of_turn>user\nReview this code for security issues<end_of_turn>\n<start_of_turn>model\nthought\nThis requires examining existing code.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Security review request\"}}</tool_call><eos>"}
|
| 66 |
+
{"text": "<start_of_turn>user\nWrite a Python function to calculate fibonacci numbers<end_of_turn>\n<start_of_turn>model\nthought\nThis requires writing new code.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Direct code generation request for fibonacci implementation\"}}</tool_call><eos>"}
|
| 67 |
+
{"text": "<start_of_turn>user\nI'm stuck<end_of_turn>\n<start_of_turn>model\nthought\nThe request is vague or unclear, needs clarification.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"General stuck state, needs clarification\"}}</tool_call><eos>"}
|
| 68 |
+
{"text": "<start_of_turn>user\nPlan the internationalization support<end_of_turn>\n<start_of_turn>model\nthought\nPlanning or design request detected.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"i18n planning request\"}}</tool_call><eos>"}
|
| 69 |
+
{"text": "<start_of_turn>user\nFix it<end_of_turn>\n<start_of_turn>model\nthought\nThe request is vague or unclear, needs clarification.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Unclear fix request without context\"}}</tool_call><eos>"}
|
| 70 |
+
{"text": "<start_of_turn>user\nPlan the security audit<end_of_turn>\n<start_of_turn>model\nthought\nThis is an architecture or strategy task.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Security planning request\"}}</tool_call><eos>"}
|
| 71 |
+
{"text": "<start_of_turn>user\nSomething is wrong<end_of_turn>\n<start_of_turn>model\nthought\nThe request is vague or unclear, needs clarification.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Vague problem statement, needs clarification\"}}</tool_call><eos>"}
|
| 72 |
+
{"text": "<start_of_turn>user\nReview the error handling in this module<end_of_turn>\n<start_of_turn>model\nthought\nUser is asking for review or explanation.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Error handling review\"}}</tool_call><eos>"}
|
| 73 |
+
{"text": "<start_of_turn>user\nRun the data export job<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants to run or execute something.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Job execution request\"}}</tool_call><eos>"}
|
| 74 |
+
{"text": "<start_of_turn>user\nStart the queue consumers<end_of_turn>\n<start_of_turn>model\nthought\nThis is an execution task.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Consumer execution request\"}}</tool_call><eos>"}
|
| 75 |
+
{"text": "<start_of_turn>user\nExecute the build process<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants to run or execute something.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Build execution request\"}}</tool_call><eos>"}
|
| 76 |
+
{"text": "<start_of_turn>user\nReview the API design<end_of_turn>\n<start_of_turn>model\nthought\nThis is a code analysis task.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"API design review\"}}</tool_call><eos>"}
|
| 77 |
+
{"text": "<start_of_turn>user\nAnalyze the complexity of this function<end_of_turn>\n<start_of_turn>model\nthought\nThe user wants code analyzed or reviewed.\n<tool_call>{\"name\": \"call_reviewer\", \"arguments\": {\"reasoning\": \"Complexity analysis request\"}}</tool_call><eos>"}
|
| 78 |
+
{"text": "<start_of_turn>user\nCan you help with my project?<end_of_turn>\n<start_of_turn>model\nthought\nThe request is vague or unclear, needs clarification.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Unclear project request, needs more details\"}}</tool_call><eos>"}
|
| 79 |
+
{"text": "<start_of_turn>user\nWhat should I do?<end_of_turn>\n<start_of_turn>model\nthought\nThe request is vague or unclear, needs clarification.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Open-ended question needing guidance\"}}</tool_call><eos>"}
|
| 80 |
+
{"text": "<start_of_turn>user\nCreate a script to parse JSON files<end_of_turn>\n<start_of_turn>model\nthought\nCode creation request detected.\n<tool_call>{\"name\": \"call_coder\", \"arguments\": {\"reasoning\": \"Script creation for file parsing\"}}</tool_call><eos>"}
|
| 81 |
+
{"text": "<start_of_turn>user\nDesign the search functionality<end_of_turn>\n<start_of_turn>model\nthought\nThe user needs planning or design help.\n<tool_call>{\"name\": \"call_planner\", \"arguments\": {\"reasoning\": \"Feature design request\"}}</tool_call><eos>"}
|
| 82 |
+
{"text": "<start_of_turn>user\nRun the database backup<end_of_turn>\n<start_of_turn>model\nthought\nExecution request detected.\n<tool_call>{\"name\": \"call_executor\", \"arguments\": {\"reasoning\": \"Backup execution request\"}}</tool_call><eos>"}
|