Format the judge's verdict as markdown.

Derive a sanitized .md filename from the company name in the prompt.

Strip any path separators or dots to prevent directory traversal.

Split text into overlapping sentence chunks.

Builds a compact text summary of real OHLCV price data to ground the analysis prompt.

Build the system prompt string with the clinical extraction instructions and JSON schema.

Convert a list of role/content dicts from session history into LangChain message objects.

Raise ValueError if the query contains any non-SELECT or mutating SQL statement.

Render a PDF page to a PNG image at RENDER_DPI and return it as a vision ProcessedPage.

Write the report markdown to a temp file and return its path.

Upload audio to Gemini File API, transcribe it, index the transcript.

Embed and insert a list of text chunks into the given collection. Returns the number of documents successfully added.

Upload image to Gemini File API, describe it, index the description.

Load a PDF with LangChain's PyPDFLoader and index up to MAX_PDF_PAGES pages.

Index raw text input.

Save a user/assistant message pair to Mem0 and record the outcome in session state.

Fetch a web page, strip HTML boilerplate, and index the content.

Upload video to Gemini File API, describe it, index the description.

Run the finance agent on a question and return its plain-text reply.

Build and return a GitHub Intelligence Agent. Args: github_pat: GitHub Personal Access Token (read-only permissions are enough) g

Build and return the LangChain tool-calling agent graph with the finance tools.

Construct and return the Gradio Blocks interface for the audio translator.

Construct and return the Gradio Blocks interface for the medical document parser.

Format retrieved chunks as a markdown context block with clickable timestamp links.

Create empty in-memory Qdrant collections.

Construct and return the Gradio ChatInterface for the browser automation agent.

Construct and return the Gradio Blocks interface with the two-panel reasoning UI.

Construct and compile the debate graph.

Build a self-contained HTML page that: • Renders every formula with KaTeX (display mode) • Shows the raw LaTeX source in a styled cod

Assemble the full reasoning-agent prompt.

For each widget in the PDF, extract surrounding text to give a semantic label. Returns {widget_field_name: descriptive_text_context}.

Format retrieved chunks into a numbered SOURCES block for the prompt.

Build the CartMate system prompt with user context and relevant memories injected.

Build and return the Gradio Blocks interface for the debate app.

Return the spending category for a transaction based on keyword matching.

The 'Cinematic' Streaming Engine. Detects closed JSON pairs mid-stream to trigger UI updates.

Probes the Ollama API to check whether it is reachable and returns a status message.

Returns (ollama_reachable, glm_ocr_installed). Quick, non-blocking probe used in the sidebar.

Flatten whisper segments into overlapping ~500-word chunks with timestamps.

Split text into overlapping word windows.

Remove blank lines and decorative separator lines from captured CrewAI stdout.

Return True if a ChromaDB collection with the given name already exists.

One LLM call that maps the registry's logical key names to the PDF's exact internal widget field names. Returns {logical_name: pdf_internal_

Fresh client per request; avoids reusing a connection NVIDIA already closed.

Create and return a ChatMistralAI instance configured with the given API key.

Build and return the LangChain tool-calling agent graph.

Download the best-quality audio from a YouTube URL and return the path to the MP3 file.

Embed a list of texts, one by one.

Embed each document individually — Gemini Embedding 2 does not support true batching.

Embed a single query string (query time).

Produce a structured escalation message. The LLM writes only a brief empathetic acknowledgment of the specific situation (2-

Return the set of ticket_id values already stored in VectorAI DB.

Return the latest AI message content from an agent invoke result.

Return the last plain-text AI response from the message list, skipping tool calls and table listings.

Download and extract plain-text article content from a URL using Trafilatura, truncated to 1800 characters.

Pull LaTeX formulas out of the model's response. Tries delimiter styles in order of preference; falls back to raw lines. Returns a list o

Send a single page to the LLM and return the extracted ClinicalProfile.

Strip chain-of-thought tags and return the first complete HTML document found in the LLM output.

Main entry point for local extraction, yielding chunks of text.

Main entry point for local extraction, yielding chunks of text.

Send image to Mistral Large 3 and extract structured prescription data.

Extract the 11-character YouTube video ID from any supported URL format.

Fetch a Wikipedia page for a band. Returns {"title": str, "url": str, "content": str} or raises an error.

Fetch documentation via MCP, then summarize with the LLM.

Fetch a URL directly through MCP using the exact user-provided URL.

Fetch the most recent tech stories from Hacker News via the Algolia Search API and return them as a list of dicts.

Fetch a URL and return (title, cleaned_text).

Find the most similar embedding in a list to the query embedding. Args: query_emb (np.ndarray): Query embedding vector e

Render retrieved chunks as a numbered citation list.

Format holdings into a markdown table and append the user's question.