ofermend commited on
Commit
f153e2c
·
1 Parent(s): 990921a

vectara-agentic version bump

Browse files
Files changed (2) hide show
  1. agent.py +3 -4
  2. requirements.txt +1 -1
agent.py CHANGED
@@ -25,8 +25,7 @@ def create_assistant_tools(cfg):
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  tool_name = "ask_vehicles",
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  tool_description = """
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  Given a user query,
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- returns a response (str) to a user question about electric vehicles based on online resources.
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- You can ask this tool any question about electric cars, including the different types of EVs, how they work, the pros and cons of different models, the environmental impact, and more.
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  """,
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  tool_args_schema = QueryElectricCars,
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  reranker = "multilingual_reranker_v1", rerank_k = 100,
@@ -55,14 +54,14 @@ def create_assistant_tools(cfg):
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  tool_name = "ask_policies",
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  tool_description = """
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  Given a user query,
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- returns a response (str) to a user question about incentives and regulations about electric vehicles in the United States.
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  You can ask this tool any question about laws passed by states or the federal government related to electric vehicles.
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  """,
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  tool_args_schema = QueryEVLaws,
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  reranker = "multilingual_reranker_v1", rerank_k = 100,
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  n_sentences_before = 2, n_sentences_after = 2, lambda_val = 0.005,
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  summary_num_results = 10,
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- vectara_summarizer = 'vectara-summary-ext-24-05-sml',
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  include_citations = False,
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  )
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  tool_name = "ask_vehicles",
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  tool_description = """
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  Given a user query,
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+ returns a response to a user question about electric vehicles.
 
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  """,
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  tool_args_schema = QueryElectricCars,
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  reranker = "multilingual_reranker_v1", rerank_k = 100,
 
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  tool_name = "ask_policies",
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  tool_description = """
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  Given a user query,
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+ returns a response to a user question about electric vehicles incentives and regulations, in the United States.
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  You can ask this tool any question about laws passed by states or the federal government related to electric vehicles.
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  """,
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  tool_args_schema = QueryEVLaws,
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  reranker = "multilingual_reranker_v1", rerank_k = 100,
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  n_sentences_before = 2, n_sentences_after = 2, lambda_val = 0.005,
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  summary_num_results = 10,
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+ vectara_summarizer = 'vectara-summary-ext-24-05-med-omni',
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  include_citations = False,
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  )
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requirements.txt CHANGED
@@ -7,4 +7,4 @@ langdetect==1.0.9
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  langcodes==3.4.0
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  datasets==2.14.7
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  uuid==1.30
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- vectara-agentic==0.1.8
 
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  langcodes==3.4.0
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  datasets==2.14.7
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  uuid==1.30
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+ vectara-agentic==0.1.13