Data Frame Workflows for 'Microsoft Foundry'

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Documentation for package ‘foundryR’ version 0.1.0

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A B C F P R S T

-- A --

as_foundry_schema Convert an object to a foundryR JSON Schema

-- B --

bake.step_foundry_embed Apply the Foundry embedding step to new data

-- C --

codebook_diff Compare two codebooks
codebook_schema_helpers Codebook schema helpers

-- F --

format.foundry_codebook_diff Compare two codebooks
foundry_agent Run a bounded Responses API tool-calling loop
foundry_agents List Foundry agents
foundry_agent_create Create a Foundry agent
foundry_agent_delete Delete a Foundry agent
foundry_agent_get Retrieve a Foundry agent
foundry_agent_message Describe an agent message for task adherence
foundry_agent_reference Reference a Foundry agent from the Responses API
foundry_agent_tool Describe an agent tool for task adherence
foundry_agent_tool_call Describe an agent tool call for task adherence
foundry_agent_versions List versions of a Foundry agent
foundry_agreement Compute agreement metrics for LLM annotation
foundry_batches List Microsoft Foundry batches
foundry_batch_cancel Cancel a Microsoft Foundry batch
foundry_batch_create Create a Microsoft Foundry batch
foundry_batch_get Retrieve a Microsoft Foundry batch
foundry_batch_requests Write JSONL requests for the Batch API
foundry_batch_results Parse completed Microsoft Foundry batch results
foundry_batch_wait Wait for a Microsoft Foundry batch to finish
foundry_blocklists Manage Content Safety text blocklists
foundry_blocklist_add_items Manage Content Safety text blocklists
foundry_blocklist_create Manage Content Safety text blocklists
foundry_blocklist_delete Manage Content Safety text blocklists
foundry_blocklist_get Manage Content Safety text blocklists
foundry_blocklist_items Manage Content Safety text blocklists
foundry_blocklist_remove_items Manage Content Safety text blocklists
foundry_cache_clear Clear the foundryR embedding cache
foundry_chat Chat with an Azure AI Model
foundry_check_setup Check foundryR Setup
foundry_codebook Create a measurement codebook
foundry_consistency Measure repeated-extraction consistency
foundry_conversations Manage Responses API conversations
foundry_conversation_create Manage Responses API conversations
foundry_conversation_delete Manage Responses API conversations
foundry_conversation_get Manage Responses API conversations
foundry_conversation_items Manage Responses API conversations
foundry_conversation_items_add Manage Responses API conversations
foundry_conversation_update Manage Responses API conversations
foundry_embed Generate Text Embeddings
foundry_embed_batch Generate Text Embeddings in Parallel Batches
foundry_evals List evaluations
foundry_eval_create Create an evaluation
foundry_eval_data_config Define an evaluation data-source configuration
foundry_eval_delete Delete an evaluation
foundry_eval_get Retrieve an evaluation
foundry_eval_item Build an evaluation item for model-based graders
foundry_eval_runs List evaluation runs
foundry_eval_run_cancel Cancel an evaluation run
foundry_eval_run_create Create an evaluation run
foundry_eval_run_data Define an evaluation run data source
foundry_eval_run_get Retrieve an evaluation run
foundry_eval_run_output_items List evaluation run output items
foundry_extract Extract structured data from text using JSON Schema
foundry_extract_batch Extract structured data with the Batch API
foundry_files List uploaded Microsoft Foundry files
foundry_file_delete Delete a Microsoft Foundry file
foundry_file_download Download Microsoft Foundry file content
foundry_file_get Retrieve a Microsoft Foundry file
foundry_file_upload Upload a file to Microsoft Foundry
foundry_get_endpoint Get Azure AI Foundry Endpoint
foundry_get_project_endpoint Get Azure AI Foundry project endpoint
foundry_grader_azure_ai Azure AI built-in evaluator grader
foundry_grader_label_model Label-model grader
foundry_grader_score_model Score-model grader
foundry_grader_string_check String-check grader
foundry_grader_text_similarity Text-similarity grader
foundry_groundedness Detect Groundedness of LLM Responses
foundry_image Generate Images with DALL-E
foundry_image_edit Edit an image with Microsoft Foundry
foundry_llm_resource Describe a bring-your-own Azure OpenAI resource for groundedness
foundry_models List or retrieve available model deployments
foundry_moderate Moderate Text Content
foundry_moderate_image Moderate image content
foundry_moderate_multimodal Moderate an image together with its text
foundry_protected_code Detect protected material in code
foundry_protected_material Detect protected material in text
foundry_provenance Capture model and schema provenance
foundry_response Create a response with the Azure OpenAI Responses API
foundry_response_cancel Cancel a background Responses API response
foundry_response_delete Delete a stored Responses API response
foundry_response_input_items List input items for a Responses API response
foundry_response_retrieve Retrieve a stored Responses API response
foundry_save_image Save Generated Image to File
foundry_schema Build a strict JSON Schema object
foundry_set_content_safety_endpoint Set Azure Content Safety Endpoint
foundry_set_content_safety_key Set Azure Content Safety API Key
foundry_set_endpoint Set Azure AI Foundry Endpoint
foundry_set_image_endpoint Set Image Generation Endpoint
foundry_set_image_key Set Image Generation API Key
foundry_set_key Set Azure AI Foundry API Key
foundry_set_project_endpoint Set Azure AI Foundry project endpoint
foundry_set_speech_endpoint Set Microsoft Foundry Speech endpoint
foundry_set_speech_key Set Microsoft Foundry Speech API key
foundry_set_token Set Azure AI Foundry Bearer Token
foundry_set_token_provider Set a Microsoft Entra ID token provider
foundry_shield Shield Prompt from Injection Attacks
foundry_similarity Compute Cosine Similarity Between Embeddings
foundry_speak Generate speech audio from text
foundry_task_adherence Check an agent transcript for task adherence
foundry_token_azure_cli Create an Azure CLI token provider
foundry_token_azure_identity Create a Microsoft Entra ID token provider using AzureAuth
foundry_tool Define an R function as a Responses API tool
foundry_tool_file_search Create a file-search tool definition
foundry_transcribe Transcribe an audio file with Microsoft Foundry
foundry_translate_audio Translate an audio file with Microsoft Foundry
foundry_usage Summarise token usage for foundryR results
foundry_vector_search Manage Azure OpenAI vector stores
foundry_vector_stores Manage Azure OpenAI vector stores
foundry_vector_store_create Manage Azure OpenAI vector stores
foundry_vector_store_delete Manage Azure OpenAI vector stores
foundry_vector_store_files Manage Azure OpenAI vector stores
foundry_vector_store_file_add Manage Azure OpenAI vector stores
foundry_vector_store_file_batch Manage Azure OpenAI vector stores
foundry_vector_store_file_remove Manage Azure OpenAI vector stores
foundry_vector_store_get Manage Azure OpenAI vector stores
foundry_vector_store_modify Manage Azure OpenAI vector stores
foundry_video_download Download Microsoft Foundry generated video content
foundry_video_get Retrieve a Microsoft Foundry video generation
foundry_video_jobs List Microsoft Foundry video generation jobs
foundry_video_job_create Create a Microsoft Foundry video generation job
foundry_video_job_delete Delete a Microsoft Foundry video generation job
foundry_video_job_get Retrieve a Microsoft Foundry video generation job
foundry_web_search Search the web with the Responses API

-- P --

prep.step_foundry_embed Prepare the Foundry embedding step
print.foundry_codebook_diff Compare two codebooks
print.step_foundry_embed Print method for step_foundry_embed

-- R --

required_pkgs.step_foundry_embed Required packages for step_foundry_embed

-- S --

schema_array Schema constructors for structured outputs
schema_boolean Schema constructors for structured outputs
schema_constructors Schema constructors for structured outputs
schema_enum Schema constructors for structured outputs
schema_integer Schema constructors for structured outputs
schema_number Schema constructors for structured outputs
schema_object Schema constructors for structured outputs
schema_string Schema constructors for structured outputs
step_foundry_embed Foundry Embedding Recipe Step

-- T --

tidy.step_foundry_embed Foundry Embedding Recipe Step
type_boolean Codebook schema helpers
type_enum Codebook schema helpers
type_number Codebook schema helpers
type_string Codebook schema helpers