SeekrFlow integrates with OpenAI's ecosystem to provide powerful log probability analysis and dynamic tool calling capabilities, while also offering seamless LangChain compatibility for developers to build complex AI workflows using both platforms' strengths.

OpenAI ecosystem integration

SeekrFlow's inference engine seamlessly integrates with OpenAI's ecosystem, expanding workflow capabilities and enhancing usability through innovative features:

Log Probabilities: Support for log_probs and top_logprobs, providing insights into model decision-making, aiding debugging, and improving output accuracy. Analyze token-level confidence to enhance transparency and identify potential hallucinations. Dynamic Tool Calling: Custom functions can now be automatically invoked by the model based on context. Supply function signatures and let the model intelligently determine when and how to call them, enabling seamless implementation of specific business logic tailored to your application needs.

LangChain integration

SeekrFlow is fully compatible with the LangChain framework, allowing developers to leverage LangChain's extensive component ecosystem while benefiting from Seekrflow's performance and reliability:

ChatSeekrFlow Model: Access SeekrFlow's capabilities directly through LangChain's interfaces with the ChatSeekrFlow integration, supporting both synchronous and streaming completions compatible with LangChain's BaseChatModel.
Simplified Development: Build complex AI workflows combining document processing, vectorization, RAG capabilities, and agentic behaviors, within a unified environment that leverages both platforms' strengths.