hanshan1988 commited on
Commit
af6fdc2
·
1 Parent(s): a654024

fixed agent architecture

Browse files
Files changed (2) hide show
  1. agent.py +8 -6
  2. app.py +0 -1
agent.py CHANGED
@@ -147,6 +147,8 @@ class BasicAgent:
147
  self.hf_model_provider = hf_model_provider
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  self.tools_list = tools_list
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  print("BasicAgent initialized.")
 
 
150
 
151
  def build_llm_with_tools(self):
152
  print("Building Hugging Face model and tools...")
@@ -156,7 +158,7 @@ class BasicAgent:
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  provider=self.hf_model_provider,
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  max_new_tokens=8192,
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  do_sample=False,
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- temperature=0.4,
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  )
161
 
162
  chat_model = ChatHuggingFace(llm=llm)
@@ -166,7 +168,7 @@ class BasicAgent:
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  llm_with_tools = chat_model.bind_tools(
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  self.tools_list
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  )
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- print("Agent built successfully.")
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  return llm_with_tools
171
 
172
  def build_agent_graph(self):
@@ -187,14 +189,14 @@ class BasicAgent:
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  tools_condition,
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  )
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  builder.add_edge("tools", "assistant")
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- return builder.compile()
 
 
191
 
192
  async def __call__(self, question: str) -> str:
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  print(f"Agent received question (first 100 chars): {question[:100]}...")
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  # fixed_answer = "This is a default answer."
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  # print(f"Agent returning fixed answer: {fixed_answer}")
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- # Create agent with all the tools
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- agent_graph = self.build_agent_graph()
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  # Example query agent might receive
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  # fixed_answer = await agent.run(question)
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  messages = [
@@ -204,7 +206,7 @@ class BasicAgent:
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  content=question # + '/nothink'
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  )
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  ]
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- response = await agent_graph.ainvoke(
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  {"messages": messages},
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  config={
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  "recursion_limit": 8,
 
147
  self.hf_model_provider = hf_model_provider
148
  self.tools_list = tools_list
149
  print("BasicAgent initialized.")
150
+ # Create agent with all the tools
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+ self.agent_graph = self.build_agent_graph()
152
 
153
  def build_llm_with_tools(self):
154
  print("Building Hugging Face model and tools...")
 
158
  provider=self.hf_model_provider,
159
  max_new_tokens=8192,
160
  do_sample=False,
161
+ temperature=0.2,
162
  )
163
 
164
  chat_model = ChatHuggingFace(llm=llm)
 
168
  llm_with_tools = chat_model.bind_tools(
169
  self.tools_list
170
  )
171
+ print("LLM with tools built successfully.")
172
  return llm_with_tools
173
 
174
  def build_agent_graph(self):
 
189
  tools_condition,
190
  )
191
  builder.add_edge("tools", "assistant")
192
+ agent_graph = builder.compile()
193
+ print("Agent graph built successfully.")
194
+ return agent_graph
195
 
196
  async def __call__(self, question: str) -> str:
197
  print(f"Agent received question (first 100 chars): {question[:100]}...")
198
  # fixed_answer = "This is a default answer."
199
  # print(f"Agent returning fixed answer: {fixed_answer}")
 
 
200
  # Example query agent might receive
201
  # fixed_answer = await agent.run(question)
202
  messages = [
 
206
  content=question # + '/nothink'
207
  )
208
  ]
209
+ response = await self.agent_graph.ainvoke(
210
  {"messages": messages},
211
  config={
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  "recursion_limit": 8,
app.py CHANGED
@@ -9,7 +9,6 @@ import re
9
 
10
  from tools import fetch_website, get_wiki_full, youtube_transcript, python_repl_tool, duckduckgo_search_results
11
 
12
-
13
  # (Keep Constants as is)
14
  # --- Constants ---
15
  DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
9
 
10
  from tools import fetch_website, get_wiki_full, youtube_transcript, python_repl_tool, duckduckgo_search_results
11
 
 
12
  # (Keep Constants as is)
13
  # --- Constants ---
14
  DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"