extractModelName extracts the model name from the full resource path Input: "publishers/google/models/gemini-2.0-flash" Output: "gemini-2.0-flash"

extractResponseText extracts the assistant's response from messages.

Fetch models once and cache the results.

generateWAVFile creates WAV data from PCM data with proper headers

Gemini methods using genai SDK with Vertex AI backend getGeminiRegion returns the appropriate region for a Gemini model. Preview models are often only

getLocaleCandidates returns a list of locale candidates to try, in order of preference. For example, for "pt-PT" it returns ["pt-PT", "pt", "pt-BR"] (

getOutputFormatFromExtension determines the API output format based on file extension

getSortedGroupsItems returns a new slice of GroupItems with both groups and their items sorted alphabetically in a case-insensitive manner. The origin

Get the directory for storing outputs.

isConversationalModel returns true if the model is suitable for text generation/chat Filters out image generation, embeddings, and other non-conversat

isMergeCommit determines if a commit is a merge commit based on its parents and message patterns.

isTTSModel checks if the model is a text-to-speech model

isValidLocale checks if a locale string can be parsed as a valid language tag.

joinPromptSections trims each part, drops empty ones, and joins the rest with newline separators.

maskSecret redacts a secret value for display, showing only the first 4 and last 4 chars.

modelPriority returns the sort priority for a model (lower = higher priority)

normalizeLocale converts various locale formats to BCP 47 language tags. Examples: - "en_US.UTF-8" -> "en-US" - "fr_FR@euro" -> "fr-FR" - "zh_CN.GB231

normalizeToBCP47 normalizes a locale string to BCP 47 format. Converts underscores to hyphens and ensures proper casing (language-REGION).

parseGeminiThinking converts thinking level to Gemini thinking config

parseOllamaNumCtx extracts and validates the num_ctx parameter from Ollama request options. Returns: - (0, nil) if num_ctx is not present or is null -

parseTimestampToSeconds converts timestamp string (HH:MM:SS or MM:SS) to total seconds

Sanitize input content by removing or replacing problematic characters. Args: input_text: The input text to sanitize Returns:

Save pattern execution log.

shouldIncludeRepeat determines if repeated content should be included based on time gap

shouldUseImageGeneration determines if image generation should be enabled This is a heuristic based on the presence of --image-file flag

sortModels sorts models by priority: Gemini > Claude > Others Within each group, models are sorted alphabetically

supportsResponsesAPI determines if the provider supports the new Responses API

toMessages converts the array of input messages from the ChatCompletionMessageType to the Bedrock Converse Message type. The system role messages are

tryMethodYtDlpInternal is a helper function to reduce duplication between tryMethodYtDlp and tryMethodYtDlpWithTimestamps.

validateImageFile validates the image file path and extension

validateImageParameters validates image generation parameters

Validate input content for potentially problematic characters or patterns. Args: input_text: The input text to validate Returns:

Validate a pattern's structure and content.

writeOllamaResponseStruct marshals the provided OllamaResponse and writes it as newline-delimited JSON to the HTTP response stream.

APIKeyMiddleware validates API key for protected endpoints. Swagger documentation endpoints (/swagger/*) are exempt from authentication to allow users

Apply executes file operations: - read:PATH - Read entire file content - tail:PATH|N - Read last N lines - exists:PATH - Check if file exists - size:P

Apply executes the requested text operation on the provided value

Apply executes fetch operations: - get:URL: Fetches content from URL, returns text content

Apply executes datetime operations with the following formats: Time: now (RFC3339), time (HH:MM:SS), unix (timestamp) Hour: startofhour, endofhour Dat

AuthHeader returns the Bedrock auth header (Bearer token)

AuthHeader returns the header name and value for authentication. Each APIM backend uses a different auth header: Bedrock: "Authorization", "Beare

AuthHeader returns the Vertex AI auth header (Google API key via APIM)

AuthHeader returns the Azure OpenAI auth header

BuildEndpoint constructs the full API endpoint URL for the given model

BuildEndpoint constructs the Vertex AI API endpoint URL Uses /publishers/google/models/{model}:generateContent path per Azure APIM Gateway routing Thi

BuildResponseParams exposes the shared Responses API request builder so auth-specialized vendors can reuse Fabric's OpenAI-compatible request shape.

CommitChanges creates a commit with the given message Uses native git CLI instead of go-git to properly handle worktree scenarios

CommitExists checks if a commit already exists in the cache

CreateAudioOutputFile creates a binary file for audio data

CreateClient creates a new client for a provider by name

CreateNewChangelogEntry aggregates all incoming PR files for release and includes direct commits

CustomHelpHandler handles help output with translations

DirectlyGetModels is used to fetch models directly from the API when the standard OpenAI SDK method fails due to a nonstandard format.

ExtractCitations extracts web citations from grounding metadata.

ExtractText exposes the shared Responses API text extraction logic so other vendors can reuse Fabric's response formatting and citation handling.

FetchAllMergedPRs fetches all merged PRs using GitHub's search API This is much more efficient than fetching PRs individually

FetchAllMergedPRsGraphQL fetches all merged PRs with their commits using GraphQL This is the ultimate optimization - gets everything in ~5-10 API call

FetchAndSavePlaylist fetches all videos in a playlist and saves them to a CSV file.