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ApiGeeToMuleSoft
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Tech Feasibility Analysis
Premise
Assumption Table
Premise Check — tibco-apigee-migration-workbench
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Assumption Table
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Assumption
Status
Why
Tibco/Apigee APIs have parseable structure (XML, config files)
Solid
Apigee policies are XML; Tibco BW has documented project formats
Policy-to-policy mapping is finite and enumerable
Solid
Both platforms have bounded policy sets
LLM can translate policy logic with good prompts + RAG
Questionable
Simple 1:1 mappings yes; chained policies with custom scripts risk hallucination
RAG over Mulesoft/Apigee docs gives sufficient context
Questionable
Doc quality varies; undocumented runtime behavior won't be in docs
Validation layer can catch migration errors reliably
Questionable
Genuine risk.
Automated equivalence validation is hard without real test traffic or contract tests
pydantic-ai + OpenRouter is production-ready for this pipeline
Solid
Both stable and widely used
Postgres + pgvector is adequate for policy RAG at this scale
Solid
Single-store approach; pgvector handles vector search alongside relational migration state
OpenAI embeddings are sufficient for policy semantic matching
Solid
text-embedding-3-small is well-tested for RAG retrieval tasks
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✦
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✦ > Assumption Table
4
✦ > Verdict
5
✦ > Open Questions (Risks to carry forward)
6
✦ > Scope Clarifications (user confirmed)