File size: 3,099 Bytes
c209999 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 | import streamlit as st
import requests
API_URL = "http://localhost:8000"
st.set_page_config(
page_title="Agentic Coding Sandbox",
page_icon="⚡",
layout="wide",
)
st.title("⚡ Self-Correcting Agentic Coding Sandbox")
st.markdown(
"Submit a coding task. The system generates, executes, and self-heals the code in an isolated Docker sandbox."
)
with st.sidebar:
st.header("About")
st.markdown(
"""
**Architecture:**
1. **Coder Agent** — generates Python code via LLM
2. **Sandbox Executor** — runs code in isolated Docker container
3. **Critic Agent** — analyzes errors and suggests fixes
4. **Retry Loop** — up to 3 self-healing attempts
"""
)
st.caption(f"API: {API_URL}")
col1, col2 = st.columns([3, 2])
with col1:
prompt = st.text_area(
"Describe what you want the code to do:",
height=150,
placeholder="e.g., Plot a bar chart of the top 5 most frequent words in this text.",
)
if st.button("Run", type="primary", disabled=not prompt):
with st.spinner("Generating code..."):
try:
resp = requests.post(
f"{API_URL}/run",
json={"prompt": prompt},
timeout=120,
)
resp.raise_for_status()
result = resp.json()
st.session_state["result"] = result
except requests.exceptions.ConnectionError:
st.error(
f"Cannot connect to API at {API_URL}. "
"Make sure the API server is running: `python -m src.ui.api`"
)
except Exception as e:
st.error(f"Error: {e}")
with col2:
st.subheader("Result")
if "result" in st.session_state:
result = st.session_state["result"]
retries = result.get("retries_used", 0)
if result.get("success"):
st.success(f"✅ Succeeded ({retries} retries)")
else:
st.error(f"❌ Failed ({retries} retries)")
files = result.get("files", {})
if files:
for name, b64 in files.items():
st.image(f"data:image/png;base64,{b64}", caption=name, use_container_width=True)
output = result.get("output") or result.get("error") or "No output"
if output.strip():
st.code(output, language="text", line_numbers=True)
else:
st.info("Submit a prompt to see results here.")
st.divider()
st.subheader("Execution Trace")
if "result" in st.session_state:
trace = st.session_state["result"].get("trace", [])
if trace:
for i, entry in enumerate(trace):
node = entry.get("node", "?")
retry = entry.get("retry", 0)
icon = {"coder": "✏️", "executor": "⚙️", "critic": "🔍"}.get(node, "➡️")
with st.expander(f"{icon} Attempt {retry + 1} — {node}", expanded=True):
st.json(entry)
else:
st.caption("No trace data available.")
else:
st.caption("Run a prompt to see the execution trace.")
|