Spaces:
Running
Running
Set MODEL_ID
Browse files- src/workflows_v2.py +9 -5
src/workflows_v2.py
CHANGED
@@ -19,9 +19,12 @@ load_dotenv(env_path)
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# --- Atla Insights Configuration ---
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from atla_insights import configure, instrument, instrument_agno, instrument_openai, mark_success, mark_failure, tool
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# Define metadata for tracing
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metadata = {
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"model":
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"prompt": "v1.1",
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"environment": "prod",
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"agent_name": "Startup Idea Validator"
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@@ -94,9 +97,10 @@ class ValidationReport(BaseModel):
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# --- Agents ---
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idea_clarifier_agent = Agent(
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name="Idea Clarifier",
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model=OpenAIChat(id=
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instructions=[
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"Given a user's startup idea, your goal is to refine that idea.",
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"Evaluate the originality of the idea by comparing it with existing concepts.",
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@@ -111,7 +115,7 @@ idea_clarifier_agent = Agent(
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market_research_agent = Agent(
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name="Market Research Agent",
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model=OpenAIChat(id=
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tools=[GoogleSearchTools()],
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instructions=[
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"You are provided with a startup idea and the company's mission and objectives.",
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@@ -127,7 +131,7 @@ market_research_agent = Agent(
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competitor_analysis_agent = Agent(
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name="Competitor Analysis Agent",
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model=OpenAIChat(id=
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tools=[GoogleSearchTools()],
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instructions=[
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"You are provided with a startup idea and market research data.",
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@@ -144,7 +148,7 @@ competitor_analysis_agent = Agent(
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report_agent = Agent(
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name="Report Generator",
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model=OpenAIChat(id=
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instructions=[
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"You are provided with comprehensive data about a startup idea including clarification, market research, and competitor analysis.",
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"Synthesize all information into a comprehensive validation report.",
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# --- Atla Insights Configuration ---
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from atla_insights import configure, instrument, instrument_agno, instrument_openai, mark_success, mark_failure, tool
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# Model configuration - using same model across all agents but you can change them to any model you want
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MODEL_ID = "gpt-4o"
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# Define metadata for tracing
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metadata = {
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"model": MODEL_ID,
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"prompt": "v1.1",
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"environment": "prod",
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"agent_name": "Startup Idea Validator"
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# --- Agents ---
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# NOTE: All agents use the same model (MODEL_ID) for consistent performance and cost tracking
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idea_clarifier_agent = Agent(
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name="Idea Clarifier",
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model=OpenAIChat(id=MODEL_ID),
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instructions=[
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"Given a user's startup idea, your goal is to refine that idea.",
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"Evaluate the originality of the idea by comparing it with existing concepts.",
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market_research_agent = Agent(
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name="Market Research Agent",
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model=OpenAIChat(id=MODEL_ID), # Same model as other agents
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tools=[GoogleSearchTools()],
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instructions=[
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"You are provided with a startup idea and the company's mission and objectives.",
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competitor_analysis_agent = Agent(
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name="Competitor Analysis Agent",
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model=OpenAIChat(id=MODEL_ID), # Same model as other agents
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tools=[GoogleSearchTools()],
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instructions=[
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"You are provided with a startup idea and market research data.",
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report_agent = Agent(
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name="Report Generator",
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model=OpenAIChat(id=MODEL_ID), # Same model as other agents
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instructions=[
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"You are provided with comprehensive data about a startup idea including clarification, market research, and competitor analysis.",
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"Synthesize all information into a comprehensive validation report.",
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