Update block docs for: iteration.md

docs/content/platform/blocks/update/iteration.md

@@ -0,0 +1,138 @@
+
+<file_name>autogpt_platform/backend/backend/blocks/llm.md</file_name>
+
+# LLM Block Documentation
+
+## AI Structured Response Generator
+
+### What it is
+A block that generates structured responses using Large Language Models (LLMs).
+
+### What it does
+Generates formatted responses based on specific prompts and expected formats using various AI models.
+
+### How it works
+Takes a prompt and expected format, sends it to an LLM (like GPT-4 or Claude), and returns a structured response matching the specified format.
+
+### Inputs
+- Prompt: The text prompt to send to the language model
+- Expected Format: Dictionary defining the structure of the desired response
+- Model: Choice of LLM to use (e.g., GPT-4, Claude, etc.)
+- Credentials: API key for the chosen LLM provider
+- System Prompt: Additional context for the AI model
+- Conversation History: Previous messages for context
+- Retry Count: Number of attempts to get a valid response
+- Prompt Values: Variables to insert into the prompt
+- Max Tokens: Maximum length of the response
+
+### Outputs
+- Response: The structured response from the AI model
+- Error: Any error messages if the request fails
+
+### Possible use case
+Extracting specific information from customer reviews into a structured format for analysis.
+
+## AI Text Generator
+
+### What it is
+A block that generates free-form text responses using LLMs.
+
+### What it does
+Creates natural language responses to prompts without enforcing a specific structure.
+
+### How it works
+Sends prompts to an LLM and returns the raw text response.
+
+### Inputs
+- Prompt: The text prompt for the AI model
+- Model: Choice of LLM to use
+- Credentials: API key for the chosen provider
+- System Prompt: Additional context for the AI
+- Retry Count: Number of retry attempts
+- Prompt Values: Variables for the prompt
+- Max Tokens: Maximum response length
+
+### Outputs
+- Response: The generated text
+- Error: Any error messages
+
+### Possible use case
+Creating blog post drafts or generating creative writing content.
+
+## AI Text Summarizer
+
+### What it is
+A block that creates summaries of long texts using LLMs.
+
+### What it does
+Breaks down long texts into manageable chunks and creates a coherent summary.
+
+### How it works
+Splits text into smaller pieces, summarizes each piece, then combines these summaries into a final summary.
+
+### Inputs
+- Text: The long text to summarize
+- Model: Choice of LLM to use
+- Focus: Specific topic to focus on in the summary
+- Style: Format of the summary (concise, detailed, bullet points, etc.)
+- Max Tokens: Maximum length of each chunk
+- Chunk Overlap: Number of overlapping tokens between chunks
+
+### Outputs
+- Summary: The final summarized text
+- Error: Any error messages
+
+### Possible use case
+Summarizing long research papers or creating executive summaries of lengthy reports.
+
+## AI Conversation Block
+
+### What it is
+A block that manages multi-turn conversations with LLMs.
+
+### What it does
+Handles back-and-forth conversations while maintaining context.
+
+### How it works
+Manages a series of messages between user and AI, maintaining conversation history and context.
+
+### Inputs
+- Messages: List of previous conversation messages
+- Model: Choice of LLM to use
+- Credentials: API key for the chosen provider
+- Max Tokens: Maximum response length
+
+### Outputs
+- Response: The AI's reply to the conversation
+- Error: Any error messages
+
+### Possible use case
+Creating an interactive customer service chatbot.
+
+## AI List Generator
+
+### What it is
+A block that generates lists based on given criteria or source data.
+
+### What it does
+Creates structured lists of items based on provided focus or source material.
+
+### How it works
+Analyzes source data or focus criteria and generates relevant list items using an LLM.
+
+### Inputs
+- Focus: The specific focus for list generation
+- Source Data: Optional data to generate the list from
+- Model: Choice of LLM to use
+- Credentials: API key for the chosen provider
+- Max Retries: Number of attempts to generate a valid list
+- Max Tokens: Maximum response length
+
+### Outputs
+- Generated List: The complete list of items
+- List Item: Individual items from the list
+- Error: Any error messages
+
+### Possible use case
+Extracting key points from meeting transcripts or generating topic lists from articles.
+