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@bernardev254 bernardev254 commented Sep 23, 2025

Description

This pull request introduces comprehensive unit test coverage across multiple core modules of the flare_ai_kit project, significantly improving reliability, maintainability, and developer confidence.
The tests validate critical functionality, error handling, and edge cases for:

Ecosystem: Ensures correct behavior for Gemini embeddings, including successful embedding generation, empty input handling, and API error conditions.

Consensus: Covers prediction strategies, validating data model creation and ensuring required fields (e.g., agent_id) are enforced.

RAG (Retrieval-Augmented Generation): Verifies vector search, document chunking, and embedding consistency.

Ingestion: Adds thorough tests for:

GitHubIngestor – repository cloning, file filtering, chunk generation, and cleanup logic.

PDFProcessor – dynamic Pydantic model creation, PDF text extraction
closes #108

@dineshpinto
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Thanks @bernardev254 looks good to me

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[QA] Add comprehensive unit tests for Flare AI Kit core modules

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