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updated- observe, prompt sdk
WalkthroughThe changes update multiple documentation pages and reorganize navigation. The dataset guide now includes metadata and an introductory overview, while the experimentation document has been revised to remove a demo reference and expand on process details. New observability documents introduce structured definitions for spans, traces, and projects, along with a comprehensive guide on the Observe feature and its integration with LangChain. The prompt engineering section has updated titles and new Python SDK guides providing functions for prompt generation, improvement, and creation. Additionally, the navigation (mint.json) is restructured into hierarchical groups. Changes
Sequence Diagram(s)sequenceDiagram
participant Dev as Developer
participant LC as LangChain Service
participant TP as Trace Provider
participant OP as Observe Platform
Dev->>LC: Set OpenAI & FutureAGI API keys
LC->>TP: Initialize trace provider (project creation, telemetry)
LC->>OP: Send telemetry data (LLM calls, spans)
OP-->>LC: Acknowledge data receipt
sequenceDiagram
participant MP as Main Program
participant GP as generate_prompt_content()
participant PC as PromptClient
participant API as GPT Model API
MP->>GP: Invoke prompt generation function
GP->>PC: Instantiate PromptTemplate and PromptClient
loop For each requirement
GP->>PC: Request prompt generation
PC->>API: Generate prompt content
API-->>PC: Return generated output
PC-->>GP: Forward content
end
GP-->>MP: Print generated prompt
Poem
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Documentation
Refactor