Mastering Iterative Prompting for Optimized AI Code Generation
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luigi12345
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about 2 hours ago
# Essential AutoGen Examples: Code Writing, File Operations & Agent Tools
1. **Code Writing with Function Calls & File Operations**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_code_writing/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_code_writing.ipynb)
- *Key Tools Shown*:
- `list_files()` - Directory listing
- `read_file(filename)` - File reading
- `edit_file(file, start_line, end_line, new_code)` - Precise code editing
- Code validation and syntax checking
- File backup and restore
2. **Auto Feedback from Code Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_auto_feedback_from_code_execution/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_auto_feedback_from_code_execution.ipynb)
- *Key Tools Shown*:
- `execute_code(code)` with output capture
- Error analysis and auto-correction
- Test case generation
- Iterative debugging loop
3. **Async Operations & Parallel Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_async/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_async.ipynb)
- *Key Tools Shown*:
- Async function registration
- Parallel agent operations
- Non-blocking file operations
- Task coordination
4. **LangChain Integration & Advanced Tools**
- [Colab](https://colab.research.google.com/github/sugarforever/LangChain-Advanced/blob/main/Integrations/AutoGen/autogen_langchain_uniswap_ai_agent.ipynb)
- *Key Tools Shown*:
- Vector store integration
- Document QA chains
- Multi-agent coordination
- Custom tool creation
Most relevant for file operations and code editing is Example #1, which demonstrates the core techniques used in autogenie.py for file manipulation and code editing using line numbers and replacement.
updated
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4 days ago
strangerzonehf/Flux-Midjourney-Mix2-LoRA
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4 days ago
strangerzonehf/Flux-Midjourney-Mix2-LoRA:Add generated example
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about 2 hours ago
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# Essential AutoGen Examples: Code Writing, File Operations & Agent Tools
1. **Code Writing with Function Calls & File Operations**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_code_writing/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_code_writing.ipynb)
- *Key Tools Shown*:
-
-
-
- Code validation and syntax checking
- File backup and restore
2. **Auto Feedback from Code Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_auto_feedback_from_code_execution/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_auto_feedback_from_code_execution.ipynb)
- *Key Tools Shown*:
-
- Error analysis and auto-correction
- Test case generation
- Iterative debugging loop
3. **Async Operations & Parallel Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_async/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_async.ipynb)
- *Key Tools Shown*:
- Async function registration
- Parallel agent operations
- Non-blocking file operations
- Task coordination
4. **LangChain Integration & Advanced Tools**
- [Colab](https://colab.research.google.com/github/sugarforever/LangChain-Advanced/blob/main/Integrations/AutoGen/autogen_langchain_uniswap_ai_agent.ipynb)
- *Key Tools Shown*:
- Vector store integration
- Document QA chains
- Multi-agent coordination
- Custom tool creation
Most relevant for file operations and code editing is Example #1, which demonstrates the core techniques used in autogenie.py for file manipulation and code editing using line numbers and replacement.
1. **Code Writing with Function Calls & File Operations**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_code_writing/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_code_writing.ipynb)
- *Key Tools Shown*:
-
list_files() - Directory listing-
read_file(filename) - File reading-
edit_file(file, start_line, end_line, new_code) - Precise code editing- Code validation and syntax checking
- File backup and restore
2. **Auto Feedback from Code Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_auto_feedback_from_code_execution/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_auto_feedback_from_code_execution.ipynb)
- *Key Tools Shown*:
-
execute_code(code) with output capture- Error analysis and auto-correction
- Test case generation
- Iterative debugging loop
3. **Async Operations & Parallel Execution**
- [Documentation](https://microsoft.github.io/autogen/0.2/docs/notebooks/agentchat_function_call_async/)
- [Notebook](https://github.com/microsoft/autogen/blob/0.2/notebook/agentchat_function_call_async.ipynb)
- *Key Tools Shown*:
- Async function registration
- Parallel agent operations
- Non-blocking file operations
- Task coordination
4. **LangChain Integration & Advanced Tools**
- [Colab](https://colab.research.google.com/github/sugarforever/LangChain-Advanced/blob/main/Integrations/AutoGen/autogen_langchain_uniswap_ai_agent.ipynb)
- *Key Tools Shown*:
- Vector store integration
- Document QA chains
- Multi-agent coordination
- Custom tool creation
Most relevant for file operations and code editing is Example #1, which demonstrates the core techniques used in autogenie.py for file manipulation and code editing using line numbers and replacement.
updated
a
model
4 days ago
Add generated example
#8 opened 4 days ago
by
luigi12345
replied to
their
post
8 days ago
You boss!! I I had it done in fastapi but didnβt mange to upload it yet. Thank you!!
replied to
their
post
8 days ago
from gradio_client import Client, file
client = Client("black-forest-labs/FLUX.1-schnell")
client.predict(
prompt="A handrawn colorful mind map diagram, rugosity drawn lines, clear shapes, brain silhouette, text areas. must include the texts LITERACY/MENTAL βββ PEACE [Dove Icon] βββ HEALTH [Vitruvian Man ~60px] βββ CONNECT [Brain-Mind Connection Icon] βββ INTELLIGENCE β βββ EVERYTHING [Globe Icon ~50px] βββ MEMORY βββ READING [Book Icon ~40px] βββ SPEED [Speedometer Icon] βββ CREATIVITY βββ INTELLIGENCE [Lightbulb + Infinity ~30px]",
seed=1872187377,
randomize_seed=True,
width=1024,
height=1024,
num_inference_steps=4,
api_name="/infer"
)
posted
an
update
8 days ago
Post
982
π€Create Beautiful Diagrams with FLUX WITHOUT DISTORTED TEXTβοΈ
from huggingface_hub import InferenceClient
client = InferenceClient("black-forest-labs/FLUX.1-schnell", token="hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx")
https://huggingface.co/spaces/black-forest-labs/FLUX.1-schnell
# output is a PIL.Image object
image = client.text_to_image("A handrawn colorful mind map diagram, rugosity drawn lines, clear shapes, brain silhouette, text areas. must include the texts LITERACY/MENTAL βββ PEACE [Dove Icon] βββ HEALTH [Vitruvian Man ~60px] βββ CONNECT [Brain-Mind Connection Icon] βββ INTELLIGENCE β βββ EVERYTHING [Globe Icon ~50px] βββ MEMORY βββ READING [Book Icon ~40px] βββ SPEED [Speedometer Icon] βββ CREATIVITY βββ INTELLIGENCE [Lightbulb + Infinity ~30px]")-
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