v0.8.5 Costing Hotfix

Hotfix to correct costing calculations

v0.8.3 — Accurate Cost Estimation + CLI Stability Update

🏷️ Release v0.8.3 — Accurate Cost Estimation + CLI Stability Update

🚀 Highlights

• Fixed Cost Estimation:
  CLI now accurately calculates token costs using embedded TokenFlow.AI registry data (supports both legacy and modern pricing fields).
• Improved Model Registry Integration:
  Automatically loads model metadata from TokenFlow.AI without requiring external configuration.
• CLI Packaging Polished:
  Updated .csproj for clean NuGet tool packaging (PackAsTool=true), ensuring global installs (dotnet tool install -g promptstream) work seamlessly.
• Internal Enhancements:
  • Simplified and documented PromptStreamService.AnalyzePrompt()
  • Added embedded JSON deserialization shim for cross-version registry compatibility
  • Verified cost calculations in both Debug and global tool contexts

🧩 Components Updated

• PromptStream.AI
• PromptStream.AI.CLI
• Integration with TokenFlow.AI (no republish required)

🧪 Verification

promptstream analyze --template "Explain neural networks simply." --model gpt-4o

Expected output:

📊 Prompt Analysis
────────────────────────────────────────
Model: gpt-4o
Prompt Tokens:     4
Completion Tokens: 0
Total Tokens:      4
Estimated Cost:    $0.010000
────────────────────────────────────────

🧠 Notes

• No API surface changes — all interfaces remain backward-compatible.
• Version 0.8.3 is safe to publish as both a NuGet library and a .NET global tool.

v0.8.1 CLI V2

v0.8.1

• Added new analyze command for token and cost analysis
• Updated documentation (cli-analyze.md)
• Minor CLI help and formatting improvements

PromptStream.AI v0.8.0 — Unified with Flow.AI.Core

PromptStream.AI v0.8.0 introduces full integration with Flow.AI.Core v0.2.0, unifying all shared models and interfaces across the Flow ecosystem. This release removes redundant local types, refactors internal services and tests to use the shared DTOs, and maintains 100% test coverage and documentation parity. It marks the first fully Core-aligned version, paving the way for seamless interoperability with TokenFlow.AI, ReasonFlow.AI, and future Flow components.

🌟 Highlights

🧩 Integrated Flow.AI.Core v0.2.0 (shared models & interfaces)

🧱 Removed redundant local types and streamlined dependencies

✅ Refactored PromptBuilder, PromptContextManager, and all tests

📘 Added new documentation page: core-integration.md

💯 Maintained full test coverage and clean CI/CD workflows

PromptStream.AI v0.1.5 — Foundational Release (Core + TokenFlow Integration)

The first public release of PromptStream.AI, introducing a complete, modular toolkit for prompt composition, validation, and conversational context management in .NET.

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🚀 Highlights

Core Library (PromptStream.AI)

• ✅ Token-aware prompt builder with variable interpolation
• ✅ Validation engine for completeness and token limits
• ✅ Context manager with merge, replay, summarization, and persistence (JSON)
• ✅ Token budgeting (EstimateTokenUsage, TrimToTokenBudget)
• ✅ Assistant reply tracking and multi-turn chat memory
• ✅ Seamless integration with TokenFlow.AI
• ✅ Comprehensive xUnit test coverage and Codecov integration

TokenFlow Integration (PromptStream.AI.Integration.TokenFlow)

• 💡 Provides TokenFlowModelClient adapter implementing IModelClient
• 🔗 Enables model-aware validation and token analysis from TokenFlow.AI
• 🧩 Ready for future Flow.AI.Core and ReasonFlow.AI interoperability

CLI (Developer Tooling)

• 💻 Added PromptStream.AI.CLI project for local dev tools
• Commands: build, validate, generate, context
• Color-coded console output and context persistence
• Will be released later as a global tool (dotnet tool install -g PromptStream.AI.CLI)

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🧱 Dependencies

• .NET 8.0 or higher
• Flow.AI.Core
• TokenFlow.AI (for integration)

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🧪 Testing

All components are covered by xUnit + Coverlet with full Codecov reporting.

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🗺️ Next Steps

• Publish CLI as .NET Global Tool
• Add Token cost estimation
• OpenAI-style function call validation
• Flow.AI Studio visual editor integration

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Part of the Flow.AI Ecosystem
© 2025 Andrew Clements