# Steps ## List Steps `client.steps.list(StepListParamsquery?, RequestOptionsoptions?): ArrayPage` **get** `/v1/steps/` List steps with optional pagination and date filters. ### Parameters - `query: StepListParams` - `after?: string | null` Cursor for pagination (step ID). Returns results relative to this ID in the specified sort order. Expected format: 'step-' - `agent_id?: string | null` Filter by the ID of the agent that performed the step - `before?: string | null` Cursor for pagination (step ID). Returns results relative to this ID in the specified sort order. Expected format: 'step-' - `end_date?: string | null` Return steps before this ISO datetime (e.g. "2025-01-29T15:01:19-08:00") - `feedback?: "positive" | "negative" | null` Filter by feedback - `"positive"` - `"negative"` - `has_feedback?: boolean | null` Filter by whether steps have feedback (true) or not (false) - `limit?: number | null` Maximum number of steps to return - `model?: string | null` Filter by the name of the model used for the step - `order?: "asc" | "desc"` Sort order for steps by creation time. 'asc' for oldest first, 'desc' for newest first - `"asc"` - `"desc"` - `order_by?: "created_at"` Field to sort by - `"created_at"` - `project_id?: string | null` Filter by the project ID that is associated with the step (cloud only). - `start_date?: string | null` Return steps after this ISO datetime (e.g. "2025-01-29T15:01:19-08:00") - `tags?: Array | null` Filter by tags - `trace_ids?: Array | null` Filter by trace ids returned by the server ### Returns - `Step` - `id: string` The id of the step. Assigned by the database. - `agent_id?: string | null` The ID of the agent that performed the step. - `cache_write_tokens?: number | null` The number of input tokens written to cache (Anthropic only). None if not reported by provider. - `cached_input_tokens?: number | null` The number of input tokens served from cache. None if not reported by provider. - `completion_tokens?: number | null` The number of tokens generated by the agent during this step. - `completion_tokens_details?: Record | null` Detailed completion token breakdown (e.g., reasoning_tokens). - `context_window_limit?: number | null` The context window limit configured for this step. - `error_data?: Record | null` Error details including message, traceback, and additional context - `error_type?: string | null` The type/class of the error that occurred - `feedback?: "positive" | "negative" | null` The feedback for this step. Must be either 'positive' or 'negative'. - `"positive"` - `"negative"` - `messages?: Array` The messages generated during this step. Deprecated: use `GET /v1/steps/{step_id}/messages` endpoint instead - `id: string` The human-friendly ID of the Message - `role: MessageRole` The role of the participant. - `"assistant"` - `"user"` - `"tool"` - `"function"` - `"system"` - `"approval"` - `"summary"` - `agent_id?: string | null` The unique identifier of the agent. - `approval_request_id?: string | null` The id of the approval request if this message is associated with a tool call request. - `approvals?: Array | null` The list of approvals for this message. - `ApprovalReturn` - `approve: boolean` Whether the tool has been approved - `tool_call_id: string` The ID of the tool call that corresponds to this approval - `reason?: string | null` An optional explanation for the provided approval status - `type?: "approval"` The message type to be created. - `"approval"` - `LettaSchemasMessageToolReturnOutput` - `status: "success" | "error"` The status of the tool call - `"success"` - `"error"` - `func_response?: string | Array | null` The function response - either a string or list of content parts (text/image) - `string` - `Array` - `TextContent` - `text: string` The text content of the message. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this text content. - `type?: "text"` The type of the message. - `"text"` - `ImageContent` - `source: URLImage | Base64Image | LettaImage` The source of the image. - `URLImage` - `url: string` The URL of the image. - `type?: "url"` The source type for the image. - `"url"` - `Base64Image` - `data: string` The base64 encoded image data. - `media_type: string` The media type for the image. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `type?: "base64"` The source type for the image. - `"base64"` - `LettaImage` - `file_id: string` The unique identifier of the image file persisted in storage. - `data?: string | null` The base64 encoded image data. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `media_type?: string | null` The media type for the image. - `type?: "letta"` The source type for the image. - `"letta"` - `type?: "image"` The type of the message. - `"image"` - `stderr?: Array | null` Captured stderr from the tool invocation - `stdout?: Array | null` Captured stdout (e.g. prints, logs) from the tool invocation - `tool_call_id?: unknown` The ID for the tool call - `approve?: boolean | null` Whether tool call is approved. - `batch_item_id?: string | null` The id of the LLMBatchItem that this message is associated with - `content?: Array | null` The content of the message. - `TextContent` - `ImageContent` - `ToolCallContent` - `id: string` A unique identifier for this specific tool call instance. - `input: Record` The parameters being passed to the tool, structured as a dictionary of parameter names to values. - `name: string` The name of the tool being called. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this tool call. - `type?: "tool_call"` Indicates this content represents a tool call event. - `"tool_call"` - `ToolReturnContent` - `content: string` The content returned by the tool execution. - `is_error: boolean` Indicates whether the tool execution resulted in an error. - `tool_call_id: string` References the ID of the ToolCallContent that initiated this tool call. - `type?: "tool_return"` Indicates this content represents a tool return event. - `"tool_return"` - `ReasoningContent` Sent via the Anthropic Messages API - `is_native: boolean` Whether the reasoning content was generated by a reasoner model that processed this step. - `reasoning: string` The intermediate reasoning or thought process content. - `signature?: string | null` A unique identifier for this reasoning step. - `type?: "reasoning"` Indicates this is a reasoning/intermediate step. - `"reasoning"` - `RedactedReasoningContent` Sent via the Anthropic Messages API - `data: string` The redacted or filtered intermediate reasoning content. - `type?: "redacted_reasoning"` Indicates this is a redacted thinking step. - `"redacted_reasoning"` - `OmittedReasoningContent` A placeholder for reasoning content we know is present, but isn't returned by the provider (e.g. OpenAI GPT-5 on ChatCompletions) - `signature?: string | null` A unique identifier for this reasoning step. - `type?: "omitted_reasoning"` Indicates this is an omitted reasoning step. - `"omitted_reasoning"` - `SummarizedReasoningContent` The style of reasoning content returned by the OpenAI Responses API - `id: string` The unique identifier for this reasoning step. - `summary: Array` Summaries of the reasoning content. - `index: number` The index of the summary part. - `text: string` The text of the summary part. - `encrypted_content?: string` The encrypted reasoning content. - `type?: "summarized_reasoning"` Indicates this is a summarized reasoning step. - `"summarized_reasoning"` - `conversation_id?: string | null` The conversation this message belongs to - `created_at?: string` The timestamp when the object was created. - `created_by_id?: string | null` The id of the user that made this object. - `denial_reason?: string | null` The reason the tool call request was denied. - `group_id?: string | null` The multi-agent group that the message was sent in - `is_err?: boolean | null` Whether this message is part of an error step. Used only for debugging purposes. - `last_updated_by_id?: string | null` The id of the user that made this object. - `model?: string | null` The model used to make the function call. - `name?: string | null` For role user/assistant: the (optional) name of the participant. For role tool/function: the name of the function called. - `otid?: string | null` The offline threading id associated with this message - `run_id?: string | null` The id of the run that this message was created in. - `sender_id?: string | null` The id of the sender of the message, can be an identity id or agent id - `step_id?: string | null` The id of the step that this message was created in. - `tool_call_id?: string | null` The ID of the tool call. Only applicable for role tool. - `tool_calls?: Array | null` The list of tool calls requested. Only applicable for role assistant. - `id: string` - `function: Function` The function that the model called. - `arguments: string` - `name: string` - `type: "function"` - `"function"` - `tool_returns?: Array | null` Tool execution return information for prior tool calls - `status: "success" | "error"` The status of the tool call - `"success"` - `"error"` - `func_response?: string | Array | null` The function response - either a string or list of content parts (text/image) - `string` - `Array` - `TextContent` - `ImageContent` - `stderr?: Array | null` Captured stderr from the tool invocation - `stdout?: Array | null` Captured stdout (e.g. prints, logs) from the tool invocation - `tool_call_id?: unknown` The ID for the tool call - `updated_at?: string | null` The timestamp when the object was last updated. - `model?: string | null` The name of the model used for this step. - `model_endpoint?: string | null` The model endpoint url used for this step. - `model_handle?: string | null` The model handle (e.g., 'openai/gpt-4o-mini') used for this step. - `origin?: string | null` The surface that this agent step was initiated from. - `project_id?: string | null` The project that the agent that executed this step belongs to (cloud only). - `prompt_tokens?: number | null` The number of tokens in the prompt during this step. - `prompt_tokens_details?: Record | null` Detailed prompt token breakdown (e.g., cached_tokens, cache_read_tokens, cache_creation_tokens). - `provider_category?: string | null` The category of the provider used for this step. - `provider_id?: string | null` The unique identifier of the provider that was configured for this step - `provider_name?: string | null` The name of the provider used for this step. - `reasoning_tokens?: number | null` The number of reasoning/thinking tokens generated. None if not reported by provider. - `request_id?: string | null` The API request log ID from cloud-api for correlating steps with API requests. - `run_id?: string | null` The unique identifier of the run that this step belongs to. Only included for async calls. - `status?: "pending" | "success" | "failed" | "cancelled" | null` Status of a step execution - `"pending"` - `"success"` - `"failed"` - `"cancelled"` - `stop_reason?: StopReasonType | null` The stop reason associated with the step. - `"end_turn"` - `"error"` - `"llm_api_error"` - `"invalid_llm_response"` - `"invalid_tool_call"` - `"max_steps"` - `"max_tokens_exceeded"` - `"no_tool_call"` - `"tool_rule"` - `"cancelled"` - `"insufficient_credits"` - `"requires_approval"` - `"context_window_overflow_in_system_prompt"` - `tags?: Array` Metadata tags. - `tid?: string | null` The unique identifier of the transaction that processed this step. - `total_tokens?: number | null` The total number of tokens processed by the agent during this step. - `trace_id?: string | null` The trace id of the agent step. ### Example ```typescript import Letta from '@letta-ai/letta-client'; const client = new Letta({ apiKey: process.env['LETTA_API_KEY'], // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const step of client.steps.list()) { console.log(step.id); } ``` #### Response ```json [ { "id": "id", "agent_id": "agent_id", "cache_write_tokens": 0, "cached_input_tokens": 0, "completion_tokens": 0, "completion_tokens_details": { "foo": "bar" }, "context_window_limit": 0, "error_data": { "foo": "bar" }, "error_type": "error_type", "feedback": "positive", "messages": [ { "id": "message-123e4567-e89b-12d3-a456-426614174000", "role": "assistant", "agent_id": "agent_id", "approval_request_id": "approval_request_id", "approvals": [ { "approve": true, "tool_call_id": "tool_call_id", "reason": "reason", "type": "approval" } ], "approve": true, "batch_item_id": "batch_item_id", "content": [ { "text": "text", "signature": "signature", "type": "text" } ], "conversation_id": "conversation_id", "created_at": "2019-12-27T18:11:19.117Z", "created_by_id": "created_by_id", "denial_reason": "denial_reason", "group_id": "group_id", "is_err": true, "last_updated_by_id": "last_updated_by_id", "model": "model", "name": "name", "otid": "otid", "run_id": "run_id", "sender_id": "sender_id", "step_id": "step_id", "tool_call_id": "tool_call_id", "tool_calls": [ { "id": "id", "function": { "arguments": "arguments", "name": "name" }, "type": "function" } ], "tool_returns": [ { "status": "success", "func_response": "string", "stderr": [ "string" ], "stdout": [ "string" ], "tool_call_id": {} } ], "updated_at": "2019-12-27T18:11:19.117Z" } ], "model": "model", "model_endpoint": "model_endpoint", "model_handle": "model_handle", "origin": "origin", "project_id": "project_id", "prompt_tokens": 0, "prompt_tokens_details": { "foo": "bar" }, "provider_category": "provider_category", "provider_id": "provider_id", "provider_name": "provider_name", "reasoning_tokens": 0, "request_id": "request_id", "run_id": "run_id", "status": "pending", "stop_reason": "end_turn", "tags": [ "string" ], "tid": "tid", "total_tokens": 0, "trace_id": "trace_id" } ] ``` ## Retrieve Step `client.steps.retrieve(stringstepID, RequestOptionsoptions?): Step` **get** `/v1/steps/{step_id}` Get a step by ID. ### Parameters - `stepID: string` The ID of the step in the format 'step-' ### Returns - `Step` - `id: string` The id of the step. Assigned by the database. - `agent_id?: string | null` The ID of the agent that performed the step. - `cache_write_tokens?: number | null` The number of input tokens written to cache (Anthropic only). None if not reported by provider. - `cached_input_tokens?: number | null` The number of input tokens served from cache. None if not reported by provider. - `completion_tokens?: number | null` The number of tokens generated by the agent during this step. - `completion_tokens_details?: Record | null` Detailed completion token breakdown (e.g., reasoning_tokens). - `context_window_limit?: number | null` The context window limit configured for this step. - `error_data?: Record | null` Error details including message, traceback, and additional context - `error_type?: string | null` The type/class of the error that occurred - `feedback?: "positive" | "negative" | null` The feedback for this step. Must be either 'positive' or 'negative'. - `"positive"` - `"negative"` - `messages?: Array` The messages generated during this step. Deprecated: use `GET /v1/steps/{step_id}/messages` endpoint instead - `id: string` The human-friendly ID of the Message - `role: MessageRole` The role of the participant. - `"assistant"` - `"user"` - `"tool"` - `"function"` - `"system"` - `"approval"` - `"summary"` - `agent_id?: string | null` The unique identifier of the agent. - `approval_request_id?: string | null` The id of the approval request if this message is associated with a tool call request. - `approvals?: Array | null` The list of approvals for this message. - `ApprovalReturn` - `approve: boolean` Whether the tool has been approved - `tool_call_id: string` The ID of the tool call that corresponds to this approval - `reason?: string | null` An optional explanation for the provided approval status - `type?: "approval"` The message type to be created. - `"approval"` - `LettaSchemasMessageToolReturnOutput` - `status: "success" | "error"` The status of the tool call - `"success"` - `"error"` - `func_response?: string | Array | null` The function response - either a string or list of content parts (text/image) - `string` - `Array` - `TextContent` - `text: string` The text content of the message. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this text content. - `type?: "text"` The type of the message. - `"text"` - `ImageContent` - `source: URLImage | Base64Image | LettaImage` The source of the image. - `URLImage` - `url: string` The URL of the image. - `type?: "url"` The source type for the image. - `"url"` - `Base64Image` - `data: string` The base64 encoded image data. - `media_type: string` The media type for the image. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `type?: "base64"` The source type for the image. - `"base64"` - `LettaImage` - `file_id: string` The unique identifier of the image file persisted in storage. - `data?: string | null` The base64 encoded image data. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `media_type?: string | null` The media type for the image. - `type?: "letta"` The source type for the image. - `"letta"` - `type?: "image"` The type of the message. - `"image"` - `stderr?: Array | null` Captured stderr from the tool invocation - `stdout?: Array | null` Captured stdout (e.g. prints, logs) from the tool invocation - `tool_call_id?: unknown` The ID for the tool call - `approve?: boolean | null` Whether tool call is approved. - `batch_item_id?: string | null` The id of the LLMBatchItem that this message is associated with - `content?: Array | null` The content of the message. - `TextContent` - `ImageContent` - `ToolCallContent` - `id: string` A unique identifier for this specific tool call instance. - `input: Record` The parameters being passed to the tool, structured as a dictionary of parameter names to values. - `name: string` The name of the tool being called. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this tool call. - `type?: "tool_call"` Indicates this content represents a tool call event. - `"tool_call"` - `ToolReturnContent` - `content: string` The content returned by the tool execution. - `is_error: boolean` Indicates whether the tool execution resulted in an error. - `tool_call_id: string` References the ID of the ToolCallContent that initiated this tool call. - `type?: "tool_return"` Indicates this content represents a tool return event. - `"tool_return"` - `ReasoningContent` Sent via the Anthropic Messages API - `is_native: boolean` Whether the reasoning content was generated by a reasoner model that processed this step. - `reasoning: string` The intermediate reasoning or thought process content. - `signature?: string | null` A unique identifier for this reasoning step. - `type?: "reasoning"` Indicates this is a reasoning/intermediate step. - `"reasoning"` - `RedactedReasoningContent` Sent via the Anthropic Messages API - `data: string` The redacted or filtered intermediate reasoning content. - `type?: "redacted_reasoning"` Indicates this is a redacted thinking step. - `"redacted_reasoning"` - `OmittedReasoningContent` A placeholder for reasoning content we know is present, but isn't returned by the provider (e.g. OpenAI GPT-5 on ChatCompletions) - `signature?: string | null` A unique identifier for this reasoning step. - `type?: "omitted_reasoning"` Indicates this is an omitted reasoning step. - `"omitted_reasoning"` - `SummarizedReasoningContent` The style of reasoning content returned by the OpenAI Responses API - `id: string` The unique identifier for this reasoning step. - `summary: Array` Summaries of the reasoning content. - `index: number` The index of the summary part. - `text: string` The text of the summary part. - `encrypted_content?: string` The encrypted reasoning content. - `type?: "summarized_reasoning"` Indicates this is a summarized reasoning step. - `"summarized_reasoning"` - `conversation_id?: string | null` The conversation this message belongs to - `created_at?: string` The timestamp when the object was created. - `created_by_id?: string | null` The id of the user that made this object. - `denial_reason?: string | null` The reason the tool call request was denied. - `group_id?: string | null` The multi-agent group that the message was sent in - `is_err?: boolean | null` Whether this message is part of an error step. Used only for debugging purposes. - `last_updated_by_id?: string | null` The id of the user that made this object. - `model?: string | null` The model used to make the function call. - `name?: string | null` For role user/assistant: the (optional) name of the participant. For role tool/function: the name of the function called. - `otid?: string | null` The offline threading id associated with this message - `run_id?: string | null` The id of the run that this message was created in. - `sender_id?: string | null` The id of the sender of the message, can be an identity id or agent id - `step_id?: string | null` The id of the step that this message was created in. - `tool_call_id?: string | null` The ID of the tool call. Only applicable for role tool. - `tool_calls?: Array | null` The list of tool calls requested. Only applicable for role assistant. - `id: string` - `function: Function` The function that the model called. - `arguments: string` - `name: string` - `type: "function"` - `"function"` - `tool_returns?: Array | null` Tool execution return information for prior tool calls - `status: "success" | "error"` The status of the tool call - `"success"` - `"error"` - `func_response?: string | Array | null` The function response - either a string or list of content parts (text/image) - `string` - `Array` - `TextContent` - `ImageContent` - `stderr?: Array | null` Captured stderr from the tool invocation - `stdout?: Array | null` Captured stdout (e.g. prints, logs) from the tool invocation - `tool_call_id?: unknown` The ID for the tool call - `updated_at?: string | null` The timestamp when the object was last updated. - `model?: string | null` The name of the model used for this step. - `model_endpoint?: string | null` The model endpoint url used for this step. - `model_handle?: string | null` The model handle (e.g., 'openai/gpt-4o-mini') used for this step. - `origin?: string | null` The surface that this agent step was initiated from. - `project_id?: string | null` The project that the agent that executed this step belongs to (cloud only). - `prompt_tokens?: number | null` The number of tokens in the prompt during this step. - `prompt_tokens_details?: Record | null` Detailed prompt token breakdown (e.g., cached_tokens, cache_read_tokens, cache_creation_tokens). - `provider_category?: string | null` The category of the provider used for this step. - `provider_id?: string | null` The unique identifier of the provider that was configured for this step - `provider_name?: string | null` The name of the provider used for this step. - `reasoning_tokens?: number | null` The number of reasoning/thinking tokens generated. None if not reported by provider. - `request_id?: string | null` The API request log ID from cloud-api for correlating steps with API requests. - `run_id?: string | null` The unique identifier of the run that this step belongs to. Only included for async calls. - `status?: "pending" | "success" | "failed" | "cancelled" | null` Status of a step execution - `"pending"` - `"success"` - `"failed"` - `"cancelled"` - `stop_reason?: StopReasonType | null` The stop reason associated with the step. - `"end_turn"` - `"error"` - `"llm_api_error"` - `"invalid_llm_response"` - `"invalid_tool_call"` - `"max_steps"` - `"max_tokens_exceeded"` - `"no_tool_call"` - `"tool_rule"` - `"cancelled"` - `"insufficient_credits"` - `"requires_approval"` - `"context_window_overflow_in_system_prompt"` - `tags?: Array` Metadata tags. - `tid?: string | null` The unique identifier of the transaction that processed this step. - `total_tokens?: number | null` The total number of tokens processed by the agent during this step. - `trace_id?: string | null` The trace id of the agent step. ### Example ```typescript import Letta from '@letta-ai/letta-client'; const client = new Letta({ apiKey: process.env['LETTA_API_KEY'], // This is the default and can be omitted }); const step = await client.steps.retrieve('step-123e4567-e89b-42d3-8456-426614174000'); console.log(step.id); ``` #### Response ```json { "id": "id", "agent_id": "agent_id", "cache_write_tokens": 0, "cached_input_tokens": 0, "completion_tokens": 0, "completion_tokens_details": { "foo": "bar" }, "context_window_limit": 0, "error_data": { "foo": "bar" }, "error_type": "error_type", "feedback": "positive", "messages": [ { "id": "message-123e4567-e89b-12d3-a456-426614174000", "role": "assistant", "agent_id": "agent_id", "approval_request_id": "approval_request_id", "approvals": [ { "approve": true, "tool_call_id": "tool_call_id", "reason": "reason", "type": "approval" } ], "approve": true, "batch_item_id": "batch_item_id", "content": [ { "text": "text", "signature": "signature", "type": "text" } ], "conversation_id": "conversation_id", "created_at": "2019-12-27T18:11:19.117Z", "created_by_id": "created_by_id", "denial_reason": "denial_reason", "group_id": "group_id", "is_err": true, "last_updated_by_id": "last_updated_by_id", "model": "model", "name": "name", "otid": "otid", "run_id": "run_id", "sender_id": "sender_id", "step_id": "step_id", "tool_call_id": "tool_call_id", "tool_calls": [ { "id": "id", "function": { "arguments": "arguments", "name": "name" }, "type": "function" } ], "tool_returns": [ { "status": "success", "func_response": "string", "stderr": [ "string" ], "stdout": [ "string" ], "tool_call_id": {} } ], "updated_at": "2019-12-27T18:11:19.117Z" } ], "model": "model", "model_endpoint": "model_endpoint", "model_handle": "model_handle", "origin": "origin", "project_id": "project_id", "prompt_tokens": 0, "prompt_tokens_details": { "foo": "bar" }, "provider_category": "provider_category", "provider_id": "provider_id", "provider_name": "provider_name", "reasoning_tokens": 0, "request_id": "request_id", "run_id": "run_id", "status": "pending", "stop_reason": "end_turn", "tags": [ "string" ], "tid": "tid", "total_tokens": 0, "trace_id": "trace_id" } ``` ## Domain Types ### Provider Trace - `ProviderTrace` Letta's internal representation of a provider trace. Attributes: id (str): The unique identifier of the provider trace. request_json (Dict[str, Any]): JSON content of the provider request. response_json (Dict[str, Any]): JSON content of the provider response. step_id (str): ID of the step that this trace is associated with. agent_id (str): ID of the agent that generated this trace. agent_tags (list[str]): Tags associated with the agent for filtering. call_type (str): Type of call (agent_step, summarization, etc.). run_id (str): ID of the run this trace is associated with. source (str): Source service that generated this trace (memgpt-server, lettuce-py). organization_id (str): The unique identifier of the organization. user_id (str): The unique identifier of the user who initiated the request. compaction_settings (Dict[str, Any]): Compaction/summarization settings (only for summarization calls). llm_config (Dict[str, Any]): LLM configuration used for this call (only for non-summarization calls). created_at (datetime): The timestamp when the object was created. - `request_json: Record` JSON content of the provider request - `response_json: Record` JSON content of the provider response - `id?: string` The human-friendly ID of the Provider_trace - `agent_id?: string | null` ID of the agent that generated this trace - `agent_tags?: Array | null` Tags associated with the agent for filtering - `billing_context?: BillingContext | null` Billing context for LLM request cost tracking. - `cost_source?: string | null` Cost source: 'quota' or 'credits' - `customer_id?: string | null` Customer ID for billing records - `plan_type?: string | null` Subscription tier - `call_type?: string | null` Type of call (agent_step, summarization, etc.) - `compaction_settings?: Record | null` Compaction/summarization settings (summarization calls only) - `created_at?: string` The timestamp when the object was created. - `created_by_id?: string | null` The id of the user that made this object. - `last_updated_by_id?: string | null` The id of the user that made this object. - `latency_ms?: number | null` LLM request latency in milliseconds - `llm_config?: Record | null` LLM configuration used for this call (non-summarization calls only) - `org_id?: string | null` ID of the organization - `run_id?: string | null` ID of the run this trace is associated with - `source?: string | null` Source service that generated this trace (memgpt-server, lettuce-py) - `step_id?: string | null` ID of the step that this trace is associated with - `updated_at?: string | null` The timestamp when the object was last updated. ### Step - `Step` - `id: string` The id of the step. Assigned by the database. - `agent_id?: string | null` The ID of the agent that performed the step. - `cache_write_tokens?: number | null` The number of input tokens written to cache (Anthropic only). None if not reported by provider. - `cached_input_tokens?: number | null` The number of input tokens served from cache. None if not reported by provider. - `completion_tokens?: number | null` The number of tokens generated by the agent during this step. - `completion_tokens_details?: Record | null` Detailed completion token breakdown (e.g., reasoning_tokens). - `context_window_limit?: number | null` The context window limit configured for this step. - `error_data?: Record | null` Error details including message, traceback, and additional context - `error_type?: string | null` The type/class of the error that occurred - `feedback?: "positive" | "negative" | null` The feedback for this step. Must be either 'positive' or 'negative'. - `"positive"` - `"negative"` - `messages?: Array` The messages generated during this step. Deprecated: use `GET /v1/steps/{step_id}/messages` endpoint instead - `id: string` The human-friendly ID of the Message - `role: MessageRole` The role of the participant. - `"assistant"` - `"user"` - `"tool"` - `"function"` - `"system"` - `"approval"` - `"summary"` - `agent_id?: string | null` The unique identifier of the agent. - `approval_request_id?: string | null` The id of the approval request if this message is associated with a tool call request. - `approvals?: Array | null` The list of approvals for this message. - `ApprovalReturn` - `approve: boolean` Whether the tool has been approved - `tool_call_id: string` The ID of the tool call that corresponds to this approval - `reason?: string | null` An optional explanation for the provided approval status - `type?: "approval"` The message type to be created. - `"approval"` - `LettaSchemasMessageToolReturnOutput` - `status: "success" | "error"` The status of the tool call - `"success"` - `"error"` - `func_response?: string | Array | null` The function response - either a string or list of content parts (text/image) - `string` - `Array` - `TextContent` - `text: string` The text content of the message. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this text content. - `type?: "text"` The type of the message. - `"text"` - `ImageContent` - `source: URLImage | Base64Image | LettaImage` The source of the image. - `URLImage` - `url: string` The URL of the image. - `type?: "url"` The source type for the image. - `"url"` - `Base64Image` - `data: string` The base64 encoded image data. - `media_type: string` The media type for the image. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `type?: "base64"` The source type for the image. - `"base64"` - `LettaImage` - `file_id: string` The unique identifier of the image file persisted in storage. - `data?: string | null` The base64 encoded image data. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `media_type?: string | null` The media type for the image. - `type?: "letta"` The source type for the image. - `"letta"` - `type?: "image"` The type of the message. - `"image"` - `stderr?: Array | null` Captured stderr from the tool invocation - `stdout?: Array | null` Captured stdout (e.g. prints, logs) from the tool invocation - `tool_call_id?: unknown` The ID for the tool call - `approve?: boolean | null` Whether tool call is approved. - `batch_item_id?: string | null` The id of the LLMBatchItem that this message is associated with - `content?: Array | null` The content of the message. - `TextContent` - `ImageContent` - `ToolCallContent` - `id: string` A unique identifier for this specific tool call instance. - `input: Record` The parameters being passed to the tool, structured as a dictionary of parameter names to values. - `name: string` The name of the tool being called. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this tool call. - `type?: "tool_call"` Indicates this content represents a tool call event. - `"tool_call"` - `ToolReturnContent` - `content: string` The content returned by the tool execution. - `is_error: boolean` Indicates whether the tool execution resulted in an error. - `tool_call_id: string` References the ID of the ToolCallContent that initiated this tool call. - `type?: "tool_return"` Indicates this content represents a tool return event. - `"tool_return"` - `ReasoningContent` Sent via the Anthropic Messages API - `is_native: boolean` Whether the reasoning content was generated by a reasoner model that processed this step. - `reasoning: string` The intermediate reasoning or thought process content. - `signature?: string | null` A unique identifier for this reasoning step. - `type?: "reasoning"` Indicates this is a reasoning/intermediate step. - `"reasoning"` - `RedactedReasoningContent` Sent via the Anthropic Messages API - `data: string` The redacted or filtered intermediate reasoning content. - `type?: "redacted_reasoning"` Indicates this is a redacted thinking step. - `"redacted_reasoning"` - `OmittedReasoningContent` A placeholder for reasoning content we know is present, but isn't returned by the provider (e.g. OpenAI GPT-5 on ChatCompletions) - `signature?: string | null` A unique identifier for this reasoning step. - `type?: "omitted_reasoning"` Indicates this is an omitted reasoning step. - `"omitted_reasoning"` - `SummarizedReasoningContent` The style of reasoning content returned by the OpenAI Responses API - `id: string` The unique identifier for this reasoning step. - `summary: Array` Summaries of the reasoning content. - `index: number` The index of the summary part. - `text: string` The text of the summary part. - `encrypted_content?: string` The encrypted reasoning content. - `type?: "summarized_reasoning"` Indicates this is a summarized reasoning step. - `"summarized_reasoning"` - `conversation_id?: string | null` The conversation this message belongs to - `created_at?: string` The timestamp when the object was created. - `created_by_id?: string | null` The id of the user that made this object. - `denial_reason?: string | null` The reason the tool call request was denied. - `group_id?: string | null` The multi-agent group that the message was sent in - `is_err?: boolean | null` Whether this message is part of an error step. Used only for debugging purposes. - `last_updated_by_id?: string | null` The id of the user that made this object. - `model?: string | null` The model used to make the function call. - `name?: string | null` For role user/assistant: the (optional) name of the participant. For role tool/function: the name of the function called. - `otid?: string | null` The offline threading id associated with this message - `run_id?: string | null` The id of the run that this message was created in. - `sender_id?: string | null` The id of the sender of the message, can be an identity id or agent id - `step_id?: string | null` The id of the step that this message was created in. - `tool_call_id?: string | null` The ID of the tool call. Only applicable for role tool. - `tool_calls?: Array | null` The list of tool calls requested. Only applicable for role assistant. - `id: string` - `function: Function` The function that the model called. - `arguments: string` - `name: string` - `type: "function"` - `"function"` - `tool_returns?: Array | null` Tool execution return information for prior tool calls - `status: "success" | "error"` The status of the tool call - `"success"` - `"error"` - `func_response?: string | Array | null` The function response - either a string or list of content parts (text/image) - `string` - `Array` - `TextContent` - `ImageContent` - `stderr?: Array | null` Captured stderr from the tool invocation - `stdout?: Array | null` Captured stdout (e.g. prints, logs) from the tool invocation - `tool_call_id?: unknown` The ID for the tool call - `updated_at?: string | null` The timestamp when the object was last updated. - `model?: string | null` The name of the model used for this step. - `model_endpoint?: string | null` The model endpoint url used for this step. - `model_handle?: string | null` The model handle (e.g., 'openai/gpt-4o-mini') used for this step. - `origin?: string | null` The surface that this agent step was initiated from. - `project_id?: string | null` The project that the agent that executed this step belongs to (cloud only). - `prompt_tokens?: number | null` The number of tokens in the prompt during this step. - `prompt_tokens_details?: Record | null` Detailed prompt token breakdown (e.g., cached_tokens, cache_read_tokens, cache_creation_tokens). - `provider_category?: string | null` The category of the provider used for this step. - `provider_id?: string | null` The unique identifier of the provider that was configured for this step - `provider_name?: string | null` The name of the provider used for this step. - `reasoning_tokens?: number | null` The number of reasoning/thinking tokens generated. None if not reported by provider. - `request_id?: string | null` The API request log ID from cloud-api for correlating steps with API requests. - `run_id?: string | null` The unique identifier of the run that this step belongs to. Only included for async calls. - `status?: "pending" | "success" | "failed" | "cancelled" | null` Status of a step execution - `"pending"` - `"success"` - `"failed"` - `"cancelled"` - `stop_reason?: StopReasonType | null` The stop reason associated with the step. - `"end_turn"` - `"error"` - `"llm_api_error"` - `"invalid_llm_response"` - `"invalid_tool_call"` - `"max_steps"` - `"max_tokens_exceeded"` - `"no_tool_call"` - `"tool_rule"` - `"cancelled"` - `"insufficient_credits"` - `"requires_approval"` - `"context_window_overflow_in_system_prompt"` - `tags?: Array` Metadata tags. - `tid?: string | null` The unique identifier of the transaction that processed this step. - `total_tokens?: number | null` The total number of tokens processed by the agent during this step. - `trace_id?: string | null` The trace id of the agent step. # Metrics ## Retrieve Metrics For Step `client.steps.metrics.retrieve(stringstepID, RequestOptionsoptions?): MetricRetrieveResponse` **get** `/v1/steps/{step_id}/metrics` Get step metrics by step ID. ### Parameters - `stepID: string` The ID of the step in the format 'step-' ### Returns - `MetricRetrieveResponse` - `id: string` The id of the step this metric belongs to (matches steps.id). - `agent_id?: string | null` The unique identifier of the agent. - `base_template_id?: string | null` The base template ID that the step belongs to (cloud only). - `llm_request_ns?: number | null` Time spent on LLM requests in nanoseconds. - `llm_request_start_ns?: number | null` The timestamp of the start of the llm request in nanoseconds. - `project_id?: string | null` The project that the step belongs to (cloud only). - `provider_id?: string | null` The unique identifier of the provider. - `run_id?: string | null` The unique identifier of the run. - `step_ns?: number | null` Total time for the step in nanoseconds. - `step_start_ns?: number | null` The timestamp of the start of the step in nanoseconds. - `template_id?: string | null` The template ID that the step belongs to (cloud only). - `tool_execution_ns?: number | null` Time spent on tool execution in nanoseconds. ### Example ```typescript import Letta from '@letta-ai/letta-client'; const client = new Letta({ apiKey: process.env['LETTA_API_KEY'], // This is the default and can be omitted }); const metric = await client.steps.metrics.retrieve('step-123e4567-e89b-42d3-8456-426614174000'); console.log(metric.id); ``` #### Response ```json { "id": "id", "agent_id": "agent_id", "base_template_id": "base_template_id", "llm_request_ns": 0, "llm_request_start_ns": 0, "project_id": "project_id", "provider_id": "provider_id", "run_id": "run_id", "step_ns": 0, "step_start_ns": 0, "template_id": "template_id", "tool_execution_ns": 0 } ``` ## Domain Types ### Metric Retrieve Response - `MetricRetrieveResponse` - `id: string` The id of the step this metric belongs to (matches steps.id). - `agent_id?: string | null` The unique identifier of the agent. - `base_template_id?: string | null` The base template ID that the step belongs to (cloud only). - `llm_request_ns?: number | null` Time spent on LLM requests in nanoseconds. - `llm_request_start_ns?: number | null` The timestamp of the start of the llm request in nanoseconds. - `project_id?: string | null` The project that the step belongs to (cloud only). - `provider_id?: string | null` The unique identifier of the provider. - `run_id?: string | null` The unique identifier of the run. - `step_ns?: number | null` Total time for the step in nanoseconds. - `step_start_ns?: number | null` The timestamp of the start of the step in nanoseconds. - `template_id?: string | null` The template ID that the step belongs to (cloud only). - `tool_execution_ns?: number | null` Time spent on tool execution in nanoseconds. # Trace ## Retrieve Trace For Step `client.steps.trace.retrieve(stringstepID, RequestOptionsoptions?): ProviderTrace | null` **get** `/v1/steps/{step_id}/trace` Retrieve Trace For Step ### Parameters - `stepID: string` The ID of the step in the format 'step-' ### Returns - `ProviderTrace | null` - `request_json: Record` JSON content of the provider request - `response_json: Record` JSON content of the provider response - `id?: string` The human-friendly ID of the Provider_trace - `agent_id?: string | null` ID of the agent that generated this trace - `agent_tags?: Array | null` Tags associated with the agent for filtering - `billing_context?: BillingContext | null` Billing context for LLM request cost tracking. - `cost_source?: string | null` Cost source: 'quota' or 'credits' - `customer_id?: string | null` Customer ID for billing records - `plan_type?: string | null` Subscription tier - `call_type?: string | null` Type of call (agent_step, summarization, etc.) - `compaction_settings?: Record | null` Compaction/summarization settings (summarization calls only) - `created_at?: string` The timestamp when the object was created. - `created_by_id?: string | null` The id of the user that made this object. - `last_updated_by_id?: string | null` The id of the user that made this object. - `latency_ms?: number | null` LLM request latency in milliseconds - `llm_config?: Record | null` LLM configuration used for this call (non-summarization calls only) - `org_id?: string | null` ID of the organization - `run_id?: string | null` ID of the run this trace is associated with - `source?: string | null` Source service that generated this trace (memgpt-server, lettuce-py) - `step_id?: string | null` ID of the step that this trace is associated with - `updated_at?: string | null` The timestamp when the object was last updated. ### Example ```typescript import Letta from '@letta-ai/letta-client'; const client = new Letta({ apiKey: process.env['LETTA_API_KEY'], // This is the default and can be omitted }); const providerTrace = await client.steps.trace.retrieve( 'step-123e4567-e89b-42d3-8456-426614174000', ); console.log(providerTrace.id); ``` #### Response ```json { "request_json": { "foo": "bar" }, "response_json": { "foo": "bar" }, "id": "provider_trace-123e4567-e89b-12d3-a456-426614174000", "agent_id": "agent_id", "agent_tags": [ "string" ], "billing_context": { "cost_source": "cost_source", "customer_id": "customer_id", "plan_type": "plan_type" }, "call_type": "call_type", "compaction_settings": { "foo": "bar" }, "created_at": "2019-12-27T18:11:19.117Z", "created_by_id": "created_by_id", "last_updated_by_id": "last_updated_by_id", "latency_ms": 0, "llm_config": { "foo": "bar" }, "org_id": "org_id", "run_id": "run_id", "source": "source", "step_id": "step_id", "updated_at": "2019-12-27T18:11:19.117Z" } ``` # Feedback ## Modify Feedback For Step `client.steps.feedback.create(stringstepID, FeedbackCreateParamsbody, RequestOptionsoptions?): Step` **patch** `/v1/steps/{step_id}/feedback` Modify feedback for a given step. ### Parameters - `stepID: string` The ID of the step in the format 'step-' - `body: FeedbackCreateParams` - `feedback?: "positive" | "negative" | null` Whether this feedback is positive or negative - `"positive"` - `"negative"` - `tags?: Array | null` Feedback tags to add to the step ### Returns - `Step` - `id: string` The id of the step. Assigned by the database. - `agent_id?: string | null` The ID of the agent that performed the step. - `cache_write_tokens?: number | null` The number of input tokens written to cache (Anthropic only). None if not reported by provider. - `cached_input_tokens?: number | null` The number of input tokens served from cache. None if not reported by provider. - `completion_tokens?: number | null` The number of tokens generated by the agent during this step. - `completion_tokens_details?: Record | null` Detailed completion token breakdown (e.g., reasoning_tokens). - `context_window_limit?: number | null` The context window limit configured for this step. - `error_data?: Record | null` Error details including message, traceback, and additional context - `error_type?: string | null` The type/class of the error that occurred - `feedback?: "positive" | "negative" | null` The feedback for this step. Must be either 'positive' or 'negative'. - `"positive"` - `"negative"` - `messages?: Array` The messages generated during this step. Deprecated: use `GET /v1/steps/{step_id}/messages` endpoint instead - `id: string` The human-friendly ID of the Message - `role: MessageRole` The role of the participant. - `"assistant"` - `"user"` - `"tool"` - `"function"` - `"system"` - `"approval"` - `"summary"` - `agent_id?: string | null` The unique identifier of the agent. - `approval_request_id?: string | null` The id of the approval request if this message is associated with a tool call request. - `approvals?: Array | null` The list of approvals for this message. - `ApprovalReturn` - `approve: boolean` Whether the tool has been approved - `tool_call_id: string` The ID of the tool call that corresponds to this approval - `reason?: string | null` An optional explanation for the provided approval status - `type?: "approval"` The message type to be created. - `"approval"` - `LettaSchemasMessageToolReturnOutput` - `status: "success" | "error"` The status of the tool call - `"success"` - `"error"` - `func_response?: string | Array | null` The function response - either a string or list of content parts (text/image) - `string` - `Array` - `TextContent` - `text: string` The text content of the message. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this text content. - `type?: "text"` The type of the message. - `"text"` - `ImageContent` - `source: URLImage | Base64Image | LettaImage` The source of the image. - `URLImage` - `url: string` The URL of the image. - `type?: "url"` The source type for the image. - `"url"` - `Base64Image` - `data: string` The base64 encoded image data. - `media_type: string` The media type for the image. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `type?: "base64"` The source type for the image. - `"base64"` - `LettaImage` - `file_id: string` The unique identifier of the image file persisted in storage. - `data?: string | null` The base64 encoded image data. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `media_type?: string | null` The media type for the image. - `type?: "letta"` The source type for the image. - `"letta"` - `type?: "image"` The type of the message. - `"image"` - `stderr?: Array | null` Captured stderr from the tool invocation - `stdout?: Array | null` Captured stdout (e.g. prints, logs) from the tool invocation - `tool_call_id?: unknown` The ID for the tool call - `approve?: boolean | null` Whether tool call is approved. - `batch_item_id?: string | null` The id of the LLMBatchItem that this message is associated with - `content?: Array | null` The content of the message. - `TextContent` - `ImageContent` - `ToolCallContent` - `id: string` A unique identifier for this specific tool call instance. - `input: Record` The parameters being passed to the tool, structured as a dictionary of parameter names to values. - `name: string` The name of the tool being called. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this tool call. - `type?: "tool_call"` Indicates this content represents a tool call event. - `"tool_call"` - `ToolReturnContent` - `content: string` The content returned by the tool execution. - `is_error: boolean` Indicates whether the tool execution resulted in an error. - `tool_call_id: string` References the ID of the ToolCallContent that initiated this tool call. - `type?: "tool_return"` Indicates this content represents a tool return event. - `"tool_return"` - `ReasoningContent` Sent via the Anthropic Messages API - `is_native: boolean` Whether the reasoning content was generated by a reasoner model that processed this step. - `reasoning: string` The intermediate reasoning or thought process content. - `signature?: string | null` A unique identifier for this reasoning step. - `type?: "reasoning"` Indicates this is a reasoning/intermediate step. - `"reasoning"` - `RedactedReasoningContent` Sent via the Anthropic Messages API - `data: string` The redacted or filtered intermediate reasoning content. - `type?: "redacted_reasoning"` Indicates this is a redacted thinking step. - `"redacted_reasoning"` - `OmittedReasoningContent` A placeholder for reasoning content we know is present, but isn't returned by the provider (e.g. OpenAI GPT-5 on ChatCompletions) - `signature?: string | null` A unique identifier for this reasoning step. - `type?: "omitted_reasoning"` Indicates this is an omitted reasoning step. - `"omitted_reasoning"` - `SummarizedReasoningContent` The style of reasoning content returned by the OpenAI Responses API - `id: string` The unique identifier for this reasoning step. - `summary: Array` Summaries of the reasoning content. - `index: number` The index of the summary part. - `text: string` The text of the summary part. - `encrypted_content?: string` The encrypted reasoning content. - `type?: "summarized_reasoning"` Indicates this is a summarized reasoning step. - `"summarized_reasoning"` - `conversation_id?: string | null` The conversation this message belongs to - `created_at?: string` The timestamp when the object was created. - `created_by_id?: string | null` The id of the user that made this object. - `denial_reason?: string | null` The reason the tool call request was denied. - `group_id?: string | null` The multi-agent group that the message was sent in - `is_err?: boolean | null` Whether this message is part of an error step. Used only for debugging purposes. - `last_updated_by_id?: string | null` The id of the user that made this object. - `model?: string | null` The model used to make the function call. - `name?: string | null` For role user/assistant: the (optional) name of the participant. For role tool/function: the name of the function called. - `otid?: string | null` The offline threading id associated with this message - `run_id?: string | null` The id of the run that this message was created in. - `sender_id?: string | null` The id of the sender of the message, can be an identity id or agent id - `step_id?: string | null` The id of the step that this message was created in. - `tool_call_id?: string | null` The ID of the tool call. Only applicable for role tool. - `tool_calls?: Array | null` The list of tool calls requested. Only applicable for role assistant. - `id: string` - `function: Function` The function that the model called. - `arguments: string` - `name: string` - `type: "function"` - `"function"` - `tool_returns?: Array | null` Tool execution return information for prior tool calls - `status: "success" | "error"` The status of the tool call - `"success"` - `"error"` - `func_response?: string | Array | null` The function response - either a string or list of content parts (text/image) - `string` - `Array` - `TextContent` - `ImageContent` - `stderr?: Array | null` Captured stderr from the tool invocation - `stdout?: Array | null` Captured stdout (e.g. prints, logs) from the tool invocation - `tool_call_id?: unknown` The ID for the tool call - `updated_at?: string | null` The timestamp when the object was last updated. - `model?: string | null` The name of the model used for this step. - `model_endpoint?: string | null` The model endpoint url used for this step. - `model_handle?: string | null` The model handle (e.g., 'openai/gpt-4o-mini') used for this step. - `origin?: string | null` The surface that this agent step was initiated from. - `project_id?: string | null` The project that the agent that executed this step belongs to (cloud only). - `prompt_tokens?: number | null` The number of tokens in the prompt during this step. - `prompt_tokens_details?: Record | null` Detailed prompt token breakdown (e.g., cached_tokens, cache_read_tokens, cache_creation_tokens). - `provider_category?: string | null` The category of the provider used for this step. - `provider_id?: string | null` The unique identifier of the provider that was configured for this step - `provider_name?: string | null` The name of the provider used for this step. - `reasoning_tokens?: number | null` The number of reasoning/thinking tokens generated. None if not reported by provider. - `request_id?: string | null` The API request log ID from cloud-api for correlating steps with API requests. - `run_id?: string | null` The unique identifier of the run that this step belongs to. Only included for async calls. - `status?: "pending" | "success" | "failed" | "cancelled" | null` Status of a step execution - `"pending"` - `"success"` - `"failed"` - `"cancelled"` - `stop_reason?: StopReasonType | null` The stop reason associated with the step. - `"end_turn"` - `"error"` - `"llm_api_error"` - `"invalid_llm_response"` - `"invalid_tool_call"` - `"max_steps"` - `"max_tokens_exceeded"` - `"no_tool_call"` - `"tool_rule"` - `"cancelled"` - `"insufficient_credits"` - `"requires_approval"` - `"context_window_overflow_in_system_prompt"` - `tags?: Array` Metadata tags. - `tid?: string | null` The unique identifier of the transaction that processed this step. - `total_tokens?: number | null` The total number of tokens processed by the agent during this step. - `trace_id?: string | null` The trace id of the agent step. ### Example ```typescript import Letta from '@letta-ai/letta-client'; const client = new Letta({ apiKey: process.env['LETTA_API_KEY'], // This is the default and can be omitted }); const step = await client.steps.feedback.create('step-123e4567-e89b-42d3-8456-426614174000'); console.log(step.id); ``` #### Response ```json { "id": "id", "agent_id": "agent_id", "cache_write_tokens": 0, "cached_input_tokens": 0, "completion_tokens": 0, "completion_tokens_details": { "foo": "bar" }, "context_window_limit": 0, "error_data": { "foo": "bar" }, "error_type": "error_type", "feedback": "positive", "messages": [ { "id": "message-123e4567-e89b-12d3-a456-426614174000", "role": "assistant", "agent_id": "agent_id", "approval_request_id": "approval_request_id", "approvals": [ { "approve": true, "tool_call_id": "tool_call_id", "reason": "reason", "type": "approval" } ], "approve": true, "batch_item_id": "batch_item_id", "content": [ { "text": "text", "signature": "signature", "type": "text" } ], "conversation_id": "conversation_id", "created_at": "2019-12-27T18:11:19.117Z", "created_by_id": "created_by_id", "denial_reason": "denial_reason", "group_id": "group_id", "is_err": true, "last_updated_by_id": "last_updated_by_id", "model": "model", "name": "name", "otid": "otid", "run_id": "run_id", "sender_id": "sender_id", "step_id": "step_id", "tool_call_id": "tool_call_id", "tool_calls": [ { "id": "id", "function": { "arguments": "arguments", "name": "name" }, "type": "function" } ], "tool_returns": [ { "status": "success", "func_response": "string", "stderr": [ "string" ], "stdout": [ "string" ], "tool_call_id": {} } ], "updated_at": "2019-12-27T18:11:19.117Z" } ], "model": "model", "model_endpoint": "model_endpoint", "model_handle": "model_handle", "origin": "origin", "project_id": "project_id", "prompt_tokens": 0, "prompt_tokens_details": { "foo": "bar" }, "provider_category": "provider_category", "provider_id": "provider_id", "provider_name": "provider_name", "reasoning_tokens": 0, "request_id": "request_id", "run_id": "run_id", "status": "pending", "stop_reason": "end_turn", "tags": [ "string" ], "tid": "tid", "total_tokens": 0, "trace_id": "trace_id" } ``` # Messages ## List Messages For Step `client.steps.messages.list(stringstepID, MessageListParamsquery?, RequestOptionsoptions?): ArrayPage` **get** `/v1/steps/{step_id}/messages` List messages for a given step. ### Parameters - `stepID: string` The ID of the step in the format 'step-' - `query: MessageListParams` - `after?: string | null` Cursor for pagination (message ID). Returns results relative to this ID in the specified sort order. Expected format: 'message-' - `before?: string | null` Cursor for pagination (message ID). Returns results relative to this ID in the specified sort order. Expected format: 'message-' - `limit?: number | null` Maximum number of messages to return - `order?: "asc" | "desc"` Sort order for messages by creation time. 'asc' for oldest first, 'desc' for newest first - `"asc"` - `"desc"` - `order_by?: "created_at"` Sort by field - `"created_at"` ### Returns - `MessageListResponse = SystemMessage | UserMessage | ReasoningMessage | 8 more` A message generated by the system. Never streamed back on a response, only used for cursor pagination. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message content (str): The message content sent by the system - `SystemMessage` A message generated by the system. Never streamed back on a response, only used for cursor pagination. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message content (str): The message content sent by the system - `id: string` - `content: string` The message content sent by the system - `date: string` - `is_err?: boolean | null` - `message_type?: "system_message"` The type of the message. - `"system_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `UserMessage` A message sent by the user. Never streamed back on a response, only used for cursor pagination. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message content (Union[str, List[LettaUserMessageContentUnion]]): The message content sent by the user (can be a string or an array of multi-modal content parts) - `id: string` - `content: Array | string` The message content sent by the user (can be a string or an array of multi-modal content parts) - `Array` - `TextContent` - `text: string` The text content of the message. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this text content. - `type?: "text"` The type of the message. - `"text"` - `ImageContent` - `source: URLImage | Base64Image | LettaImage` The source of the image. - `URLImage` - `url: string` The URL of the image. - `type?: "url"` The source type for the image. - `"url"` - `Base64Image` - `data: string` The base64 encoded image data. - `media_type: string` The media type for the image. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `type?: "base64"` The source type for the image. - `"base64"` - `LettaImage` - `file_id: string` The unique identifier of the image file persisted in storage. - `data?: string | null` The base64 encoded image data. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `media_type?: string | null` The media type for the image. - `type?: "letta"` The source type for the image. - `"letta"` - `type?: "image"` The type of the message. - `"image"` - `string` - `date: string` - `is_err?: boolean | null` - `message_type?: "user_message"` The type of the message. - `"user_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `ReasoningMessage` Representation of an agent's internal reasoning. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message source (Literal["reasoner_model", "non_reasoner_model"]): Whether the reasoning content was generated natively by a reasoner model or derived via prompting reasoning (str): The internal reasoning of the agent signature (Optional[str]): The model-generated signature of the reasoning step - `id: string` - `date: string` - `reasoning: string` - `is_err?: boolean | null` - `message_type?: "reasoning_message"` The type of the message. - `"reasoning_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `signature?: string | null` - `source?: "reasoner_model" | "non_reasoner_model"` - `"reasoner_model"` - `"non_reasoner_model"` - `step_id?: string | null` - `HiddenReasoningMessage` Representation of an agent's internal reasoning where reasoning content has been hidden from the response. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message state (Literal["redacted", "omitted"]): Whether the reasoning content was redacted by the provider or simply omitted by the API hidden_reasoning (Optional[str]): The internal reasoning of the agent - `id: string` - `date: string` - `state: "redacted" | "omitted"` - `"redacted"` - `"omitted"` - `hidden_reasoning?: string | null` - `is_err?: boolean | null` - `message_type?: "hidden_reasoning_message"` The type of the message. - `"hidden_reasoning_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `ToolCallMessage` A message representing a request to call a tool (generated by the LLM to trigger tool execution). Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message tool_call (Union[ToolCall, ToolCallDelta]): The tool call - `id: string` - `date: string` - `tool_call: ToolCall | ToolCallDelta` - `ToolCall` - `arguments: string` - `name: string` - `tool_call_id: string` - `ToolCallDelta` - `arguments?: string | null` - `name?: string | null` - `tool_call_id?: string | null` - `is_err?: boolean | null` - `message_type?: "tool_call_message"` The type of the message. - `"tool_call_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `tool_calls?: Array | ToolCallDelta | null` - `Array` - `arguments: string` - `name: string` - `tool_call_id: string` - `ToolCallDelta` - `ToolReturnMessage` A message representing the return value of a tool call (generated by Letta executing the requested tool). Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message tool_return (str): The return value of the tool (deprecated, use tool_returns) status (Literal["success", "error"]): The status of the tool call (deprecated, use tool_returns) tool_call_id (str): A unique identifier for the tool call that generated this message (deprecated, use tool_returns) stdout (Optional[List(str)]): Captured stdout (e.g. prints, logs) from the tool invocation (deprecated, use tool_returns) stderr (Optional[List(str)]): Captured stderr from the tool invocation (deprecated, use tool_returns) tool_returns (Optional[List[ToolReturn]]): List of tool returns for multi-tool support - `id: string` - `date: string` - `status: "success" | "error"` - `"success"` - `"error"` - `tool_call_id: string` - `tool_return: string` - `is_err?: boolean | null` - `message_type?: "tool_return_message"` The type of the message. - `"tool_return_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `stderr?: Array | null` - `stdout?: Array | null` - `step_id?: string | null` - `tool_returns?: Array | null` - `status: "success" | "error"` - `"success"` - `"error"` - `tool_call_id: string` - `tool_return: Array | string` The tool return value - either a string or list of content parts (text/image) - `Array` - `TextContent` - `ImageContent` - `string` - `stderr?: Array | null` - `stdout?: Array | null` - `type?: "tool"` The message type to be created. - `"tool"` - `AssistantMessage` A message sent by the LLM in response to user input. Used in the LLM context. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message content (Union[str, List[LettaAssistantMessageContentUnion]]): The message content sent by the agent (can be a string or an array of content parts) - `id: string` - `content: Array | string` The message content sent by the agent (can be a string or an array of content parts) - `Array` - `text: string` The text content of the message. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this text content. - `type?: "text"` The type of the message. - `"text"` - `string` - `date: string` - `is_err?: boolean | null` - `message_type?: "assistant_message"` The type of the message. - `"assistant_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `ApprovalRequestMessage` A message representing a request for approval to call a tool (generated by the LLM to trigger tool execution). Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message tool_call (ToolCall): The tool call - `id: string` - `date: string` - `tool_call: ToolCall | ToolCallDelta` The tool call that has been requested by the llm to run - `ToolCall` - `ToolCallDelta` - `is_err?: boolean | null` - `message_type?: "approval_request_message"` The type of the message. - `"approval_request_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `tool_calls?: Array | ToolCallDelta | null` The tool calls that have been requested by the llm to run, which are pending approval - `Array` - `arguments: string` - `name: string` - `tool_call_id: string` - `ToolCallDelta` - `ApprovalResponseMessage` A message representing a response form the user indicating whether a tool has been approved to run. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message approve: (bool) Whether the tool has been approved approval_request_id: The ID of the approval request reason: (Optional[str]) An optional explanation for the provided approval status - `id: string` - `date: string` - `approval_request_id?: string | null` The message ID of the approval request - `approvals?: Array | null` The list of approval responses - `ApprovalReturn` - `approve: boolean` Whether the tool has been approved - `tool_call_id: string` The ID of the tool call that corresponds to this approval - `reason?: string | null` An optional explanation for the provided approval status - `type?: "approval"` The message type to be created. - `"approval"` - `ToolReturn` - `status: "success" | "error"` - `tool_call_id: string` - `tool_return: Array | string` The tool return value - either a string or list of content parts (text/image) - `stderr?: Array | null` - `stdout?: Array | null` - `type?: "tool"` The message type to be created. - `approve?: boolean | null` Whether the tool has been approved - `is_err?: boolean | null` - `message_type?: "approval_response_message"` The type of the message. - `"approval_response_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `reason?: string | null` An optional explanation for the provided approval status - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `SummaryMessage` A message representing a summary of the conversation. Sent to the LLM as a user or system message depending on the provider. - `id: string` - `date: string` - `summary: string` - `compaction_stats?: CompactionStats | null` Statistics about a memory compaction operation. - `context_window: number` The model's context window size - `messages_count_after: number` Number of messages after compaction - `messages_count_before: number` Number of messages before compaction - `trigger: string` What triggered the compaction (e.g., 'context_window_exceeded', 'post_step_context_check') - `context_tokens_after?: number | null` Token count after compaction (message tokens only, does not include tool definitions) - `context_tokens_before?: number | null` Token count before compaction (from LLM usage stats, includes full context sent to LLM) - `is_err?: boolean | null` - `message_type?: "summary_message"` - `"summary_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `EventMessage` A message for notifying the developer that an event that has occured (e.g. a compaction). Events are NOT part of the context window. - `id: string` - `date: string` - `event_data: Record` - `event_type: "compaction"` - `"compaction"` - `is_err?: boolean | null` - `message_type?: "event_message"` - `"event_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` ### Example ```typescript import Letta from '@letta-ai/letta-client'; const client = new Letta({ apiKey: process.env['LETTA_API_KEY'], // This is the default and can be omitted }); // Automatically fetches more pages as needed. for await (const messageListResponse of client.steps.messages.list( 'step-123e4567-e89b-42d3-8456-426614174000', )) { console.log(messageListResponse); } ``` #### Response ```json [ { "id": "id", "content": "content", "date": "2019-12-27T18:11:19.117Z", "is_err": true, "message_type": "system_message", "name": "name", "otid": "otid", "run_id": "run_id", "sender_id": "sender_id", "seq_id": 0, "step_id": "step_id" } ] ``` ## Domain Types ### Message List Response - `MessageListResponse = SystemMessage | UserMessage | ReasoningMessage | 8 more` A message generated by the system. Never streamed back on a response, only used for cursor pagination. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message content (str): The message content sent by the system - `SystemMessage` A message generated by the system. Never streamed back on a response, only used for cursor pagination. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message content (str): The message content sent by the system - `id: string` - `content: string` The message content sent by the system - `date: string` - `is_err?: boolean | null` - `message_type?: "system_message"` The type of the message. - `"system_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `UserMessage` A message sent by the user. Never streamed back on a response, only used for cursor pagination. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message content (Union[str, List[LettaUserMessageContentUnion]]): The message content sent by the user (can be a string or an array of multi-modal content parts) - `id: string` - `content: Array | string` The message content sent by the user (can be a string or an array of multi-modal content parts) - `Array` - `TextContent` - `text: string` The text content of the message. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this text content. - `type?: "text"` The type of the message. - `"text"` - `ImageContent` - `source: URLImage | Base64Image | LettaImage` The source of the image. - `URLImage` - `url: string` The URL of the image. - `type?: "url"` The source type for the image. - `"url"` - `Base64Image` - `data: string` The base64 encoded image data. - `media_type: string` The media type for the image. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `type?: "base64"` The source type for the image. - `"base64"` - `LettaImage` - `file_id: string` The unique identifier of the image file persisted in storage. - `data?: string | null` The base64 encoded image data. - `detail?: string | null` What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide) - `media_type?: string | null` The media type for the image. - `type?: "letta"` The source type for the image. - `"letta"` - `type?: "image"` The type of the message. - `"image"` - `string` - `date: string` - `is_err?: boolean | null` - `message_type?: "user_message"` The type of the message. - `"user_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `ReasoningMessage` Representation of an agent's internal reasoning. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message source (Literal["reasoner_model", "non_reasoner_model"]): Whether the reasoning content was generated natively by a reasoner model or derived via prompting reasoning (str): The internal reasoning of the agent signature (Optional[str]): The model-generated signature of the reasoning step - `id: string` - `date: string` - `reasoning: string` - `is_err?: boolean | null` - `message_type?: "reasoning_message"` The type of the message. - `"reasoning_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `signature?: string | null` - `source?: "reasoner_model" | "non_reasoner_model"` - `"reasoner_model"` - `"non_reasoner_model"` - `step_id?: string | null` - `HiddenReasoningMessage` Representation of an agent's internal reasoning where reasoning content has been hidden from the response. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message state (Literal["redacted", "omitted"]): Whether the reasoning content was redacted by the provider or simply omitted by the API hidden_reasoning (Optional[str]): The internal reasoning of the agent - `id: string` - `date: string` - `state: "redacted" | "omitted"` - `"redacted"` - `"omitted"` - `hidden_reasoning?: string | null` - `is_err?: boolean | null` - `message_type?: "hidden_reasoning_message"` The type of the message. - `"hidden_reasoning_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `ToolCallMessage` A message representing a request to call a tool (generated by the LLM to trigger tool execution). Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message tool_call (Union[ToolCall, ToolCallDelta]): The tool call - `id: string` - `date: string` - `tool_call: ToolCall | ToolCallDelta` - `ToolCall` - `arguments: string` - `name: string` - `tool_call_id: string` - `ToolCallDelta` - `arguments?: string | null` - `name?: string | null` - `tool_call_id?: string | null` - `is_err?: boolean | null` - `message_type?: "tool_call_message"` The type of the message. - `"tool_call_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `tool_calls?: Array | ToolCallDelta | null` - `Array` - `arguments: string` - `name: string` - `tool_call_id: string` - `ToolCallDelta` - `ToolReturnMessage` A message representing the return value of a tool call (generated by Letta executing the requested tool). Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message tool_return (str): The return value of the tool (deprecated, use tool_returns) status (Literal["success", "error"]): The status of the tool call (deprecated, use tool_returns) tool_call_id (str): A unique identifier for the tool call that generated this message (deprecated, use tool_returns) stdout (Optional[List(str)]): Captured stdout (e.g. prints, logs) from the tool invocation (deprecated, use tool_returns) stderr (Optional[List(str)]): Captured stderr from the tool invocation (deprecated, use tool_returns) tool_returns (Optional[List[ToolReturn]]): List of tool returns for multi-tool support - `id: string` - `date: string` - `status: "success" | "error"` - `"success"` - `"error"` - `tool_call_id: string` - `tool_return: string` - `is_err?: boolean | null` - `message_type?: "tool_return_message"` The type of the message. - `"tool_return_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `stderr?: Array | null` - `stdout?: Array | null` - `step_id?: string | null` - `tool_returns?: Array | null` - `status: "success" | "error"` - `"success"` - `"error"` - `tool_call_id: string` - `tool_return: Array | string` The tool return value - either a string or list of content parts (text/image) - `Array` - `TextContent` - `ImageContent` - `string` - `stderr?: Array | null` - `stdout?: Array | null` - `type?: "tool"` The message type to be created. - `"tool"` - `AssistantMessage` A message sent by the LLM in response to user input. Used in the LLM context. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message content (Union[str, List[LettaAssistantMessageContentUnion]]): The message content sent by the agent (can be a string or an array of content parts) - `id: string` - `content: Array | string` The message content sent by the agent (can be a string or an array of content parts) - `Array` - `text: string` The text content of the message. - `signature?: string | null` Stores a unique identifier for any reasoning associated with this text content. - `type?: "text"` The type of the message. - `"text"` - `string` - `date: string` - `is_err?: boolean | null` - `message_type?: "assistant_message"` The type of the message. - `"assistant_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `ApprovalRequestMessage` A message representing a request for approval to call a tool (generated by the LLM to trigger tool execution). Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message tool_call (ToolCall): The tool call - `id: string` - `date: string` - `tool_call: ToolCall | ToolCallDelta` The tool call that has been requested by the llm to run - `ToolCall` - `ToolCallDelta` - `is_err?: boolean | null` - `message_type?: "approval_request_message"` The type of the message. - `"approval_request_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `tool_calls?: Array | ToolCallDelta | null` The tool calls that have been requested by the llm to run, which are pending approval - `Array` - `arguments: string` - `name: string` - `tool_call_id: string` - `ToolCallDelta` - `ApprovalResponseMessage` A message representing a response form the user indicating whether a tool has been approved to run. Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message approve: (bool) Whether the tool has been approved approval_request_id: The ID of the approval request reason: (Optional[str]) An optional explanation for the provided approval status - `id: string` - `date: string` - `approval_request_id?: string | null` The message ID of the approval request - `approvals?: Array | null` The list of approval responses - `ApprovalReturn` - `approve: boolean` Whether the tool has been approved - `tool_call_id: string` The ID of the tool call that corresponds to this approval - `reason?: string | null` An optional explanation for the provided approval status - `type?: "approval"` The message type to be created. - `"approval"` - `ToolReturn` - `status: "success" | "error"` - `tool_call_id: string` - `tool_return: Array | string` The tool return value - either a string or list of content parts (text/image) - `stderr?: Array | null` - `stdout?: Array | null` - `type?: "tool"` The message type to be created. - `approve?: boolean | null` Whether the tool has been approved - `is_err?: boolean | null` - `message_type?: "approval_response_message"` The type of the message. - `"approval_response_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `reason?: string | null` An optional explanation for the provided approval status - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `SummaryMessage` A message representing a summary of the conversation. Sent to the LLM as a user or system message depending on the provider. - `id: string` - `date: string` - `summary: string` - `compaction_stats?: CompactionStats | null` Statistics about a memory compaction operation. - `context_window: number` The model's context window size - `messages_count_after: number` Number of messages after compaction - `messages_count_before: number` Number of messages before compaction - `trigger: string` What triggered the compaction (e.g., 'context_window_exceeded', 'post_step_context_check') - `context_tokens_after?: number | null` Token count after compaction (message tokens only, does not include tool definitions) - `context_tokens_before?: number | null` Token count before compaction (from LLM usage stats, includes full context sent to LLM) - `is_err?: boolean | null` - `message_type?: "summary_message"` - `"summary_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null` - `EventMessage` A message for notifying the developer that an event that has occured (e.g. a compaction). Events are NOT part of the context window. - `id: string` - `date: string` - `event_data: Record` - `event_type: "compaction"` - `"compaction"` - `is_err?: boolean | null` - `message_type?: "event_message"` - `"event_message"` - `name?: string | null` - `otid?: string | null` The offline threading id (OTID). Set by the client to deduplicate requests. Used for idempotency in background streaming mode — each message in a request must have a unique OTID. Retries of the same request should reuse the same OTIDs. - `run_id?: string | null` - `sender_id?: string | null` - `seq_id?: number | null` - `step_id?: string | null`