AI Analysis and Content Strategy fixes. Enhanced Strategy Routes refactoring.
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@@ -203,6 +203,10 @@ class ResearchIntent(BaseModel):
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default_factory=list,
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description="Specific aspects to focus on"
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)
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also_answering: List[str] = Field(
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default_factory=list,
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description="Additional questions or topics that should be addressed in the research results, even if not explicitly asked"
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)
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# Constraints
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perspective: Optional[str] = Field(
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@@ -258,6 +262,28 @@ class ResearchQuery(BaseModel):
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provider: str = Field("exa", description="Preferred provider: exa, tavily, google")
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priority: int = Field(1, ge=1, le=5, description="Priority 1-5, higher = more important")
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expected_results: str = Field(..., description="What we expect to find with this query")
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# Intent field links - which intent aspects this query addresses
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addresses_primary_question: bool = Field(
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False,
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description="Does this query address the primary question?"
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)
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addresses_secondary_questions: List[str] = Field(
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default_factory=list,
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description="Which secondary questions does this query answer?"
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)
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targets_focus_areas: List[str] = Field(
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default_factory=list,
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description="Which focus areas does this query target?"
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)
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covers_also_answering: List[str] = Field(
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default_factory=list,
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description="Which 'also answering' topics does this query cover?"
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)
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justification: Optional[str] = Field(
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None,
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description="Why this query was generated"
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)
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class IntentInferenceRequest(BaseModel):
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@@ -309,7 +335,15 @@ class IntentDrivenResearchResult(BaseModel):
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primary_answer: str = Field(..., description="Direct answer to primary question")
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secondary_answers: Dict[str, str] = Field(
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default_factory=dict,
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description="Answers to secondary questions (question → answer)"
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description="Answers to secondary questions (question → answer, null if not found)"
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)
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focus_areas_coverage: Dict[str, Optional[str]] = Field(
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default_factory=dict,
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description="Summary of what was found for each focus area (area → summary, null if not covered)"
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)
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also_answering_coverage: Dict[str, Optional[str]] = Field(
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default_factory=dict,
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description="Information found about each 'also answering' topic (topic → info, null if not found)"
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)
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# Deliverables (populated based on user's expected_deliverables)
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