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LLM Systems & AI Engineering
Structured parsing middleware, prompt routing graphs, and edge case optimization.
Published: 2026-08-01•Last Updated: 2026-08-07
What is this service?
Build agentic workflows, structured parsing layers, and customized prompt routing graphs that handle edge cases reliably.
Who is this for?
SMEs and startups building user-facing AI applications requiring structured, predictable text outputs.
Pricing & Engagement
- Starting from: ₹15,00,000
- Typical range: ₹15,00,000 - ₹35,00,000
- Pricing Model: Sprint-based implementation
- Engagement timeline: 3 to 6 weeks
Typical Problems We Resolve
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Hallucination and lack of constraint in model output formatting (JSON/XML).
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Prompt injection vulnerability and sensitive data leaks.
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High API costs and slow time-to-first-token in multi-agent loops.
Key Deliverables
Pydantic-based Parsing & Validation Middleware
Optimized Prompt Templates with Evaluator Scripts
Defensive Prompt Security Implementation Guardrails
Technology Stack
PythonInstructorLangChainOpenAI SDKLlama-IndexLangSmith
Expected Outcomes
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99.9% reliable JSON output structures for UI rendering.
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Vulnerability mitigation for standard indirect prompt injections.
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Prompt token size reduced by 25% through pruning.
Next Steps & Engagement
Request an audit of your current LLM system architecture and API token logs.