boning123 commited on
Commit
5c7ef6a
·
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1 Parent(s): 7d40951

Update agent.py

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Files changed (1) hide show
  1. agent.py +23 -13
agent.py CHANGED
@@ -1,24 +1,31 @@
1
  from llama_cpp import Llama
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  from duckduckgo_search import DDGS
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  from e2b import Sandbox
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-
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  import gradio as gr
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- llm = Llama(model_path="models/Sam-reason-A1.Q4_K_S.gguf", n_ctx=2048)
 
 
 
 
 
8
 
 
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  def search_tool(q):
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  with DDGS() as ddgs:
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  results = ddgs.text(q)
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- return "\n".join([r["title"] + ": " + r["href"] for r in results[:3]])
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  def calc_tool(expr):
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- try: return str(eval(expr))
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- except Exception as e: return f"Math error: {e}"
 
 
17
 
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  def run_tool(command):
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  with Sandbox(template="base") as sb:
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- out = sb.run(command)
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- return out.stdout or out.stderr or "No output."
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  tools = {
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  "search": search_tool,
@@ -26,22 +33,25 @@ tools = {
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  "run": run_tool
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  }
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  def parse_tools(text):
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- for key in tools:
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- if f"<tool:{key}>" in text:
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- start = text.find(f"<tool:{key}>") + len(f"<tool:{key}>")
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- end = text.find(f"</tool:{key}>")
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  arg = text[start:end].strip()
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- return tools[key](arg)
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  return None
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  def agent_chat(user_input, history=[]):
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  history.append({"role": "user", "content": user_input})
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  prompt = "\n".join([f"{m['role']}: {m['content']}" for m in history])
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  output = llm(prompt=prompt, stop=["user:", "system:"], echo=False)
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  response = output["choices"][0]["text"].strip()
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  result = parse_tools(response)
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- if result: response += f"\n🔧 Tool Output:\n{result}"
 
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  history.append({"role": "assistant", "content": response})
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  return response
47
 
 
1
  from llama_cpp import Llama
2
  from duckduckgo_search import DDGS
3
  from e2b import Sandbox
 
4
  import gradio as gr
5
 
6
+ # Load GGUF model (Sam-reason-S2.1, gemma3 arch)
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+ llm = Llama(
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+ model_path="models/Sam-reason-S2.1.Q4_K_S.gguf",
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+ n_ctx=2048,
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+ verbose=False
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+ )
12
 
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+ # Tools
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  def search_tool(q):
15
  with DDGS() as ddgs:
16
  results = ddgs.text(q)
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+ return "\n".join([f"{r['title']}: {r['href']}" for r in results[:3]])
18
 
19
  def calc_tool(expr):
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+ try:
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+ return str(eval(expr))
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+ except Exception as e:
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+ return f"Math error: {e}"
24
 
25
  def run_tool(command):
26
  with Sandbox(template="base") as sb:
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+ result = sb.run(command)
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+ return result.stdout or result.stderr or "No output."
29
 
30
  tools = {
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  "search": search_tool,
 
33
  "run": run_tool
34
  }
35
 
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+ # Tool parser
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  def parse_tools(text):
38
+ for name in tools:
39
+ if f"<tool:{name}>" in text:
40
+ start = text.find(f"<tool:{name}>") + len(f"<tool:{name}>")
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+ end = text.find(f"</tool:{name}>")
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  arg = text[start:end].strip()
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+ return tools[name](arg)
44
  return None
45
 
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+ # Agent loop
47
  def agent_chat(user_input, history=[]):
48
  history.append({"role": "user", "content": user_input})
49
  prompt = "\n".join([f"{m['role']}: {m['content']}" for m in history])
50
  output = llm(prompt=prompt, stop=["user:", "system:"], echo=False)
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  response = output["choices"][0]["text"].strip()
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  result = parse_tools(response)
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+ if result:
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+ response += f"\n🔧 Tool Output:\n{result}"
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  history.append({"role": "assistant", "content": response})
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  return response
57