List Conversations
List all conversations for an agent (or all conversations if agent_id not provided).
ParametersExpand Collapse
query: ConversationListParams { after, agent_id, archive_status, 4 more }
after?: string | null
Cursor for pagination (conv ID). Returns results relative to this ID in the specified sort order. Expected format: 'conv-
agent_id?: string | null
The agent ID to list conversations for (optional - returns all conversations if not provided)
archive_status?: "unarchived" | "archived" | "all"
Whether to return unarchived conversations only, archived conversations only, or all conversations
limit?: number
Maximum number of conversations to return
order?: "asc" | "desc"
Sort order for conversations. 'asc' for oldest first, 'desc' for newest first
order_by?: "created_at" | "last_run_completion" | "last_message_at"
Field to sort by
summary_search?: string | null
Search for text within conversation summaries
ReturnsExpand Collapse
id: string
The unique identifier of the conversation.
agent_id: string
The ID of the agent this conversation belongs to.
archived?: boolean
Whether the conversation is archived.
archived_at?: string | null
Timestamp of when the conversation was archived.
context_window_limit?: number | null
The context window limit for this conversation (overrides agent's context window).
created_at?: string | null
The timestamp when the object was created.
created_by_id?: string | null
The id of the user that made this object.
in_context_message_ids?: Array<string> | null
The IDs of in-context messages for the conversation. Null means this field was not retrieved/hydrated for this response.
last_message_at?: string | null
Timestamp of the most recent message request sent to this conversation.
last_updated_by_id?: string | null
The id of the user that made this object.
model?: string | null
The model handle for this conversation (overrides agent's model). Format: provider/model-name.
model_settings?: OpenAIModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 4 more } | SgLangModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 5 more } | AnthropicModelSettings { effort, max_output_tokens, parallel_tool_calls, 6 more } | 14 more | null
The model settings for this conversation (overrides agent's model settings).
OpenAIModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 4 more }
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "openai"
The type of the provider.
reasoning?: Reasoning { reasoning_effort }
The reasoning configuration for the model.
reasoning_effort?: "none" | "minimal" | "low" | 3 more
The reasoning effort to use when generating text reasoning models
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
strict?: boolean
Enable strict mode for tool calling. When true, tool outputs are guaranteed to match JSON schemas.
temperature?: number
The temperature of the model.
SgLangModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 5 more }
SGLang model configuration (OpenAI-compatible runtime with SGLang-specific parsing).
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "sglang"
The type of the provider.
reasoning?: Reasoning { reasoning_effort }
The reasoning configuration for the model.
reasoning_effort?: "none" | "minimal" | "low" | 3 more
The reasoning effort to use when generating text reasoning models
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
strict?: boolean
Enable strict mode for tool calling. When true, tool outputs are guaranteed to match JSON schemas.
temperature?: number
The temperature of the model.
tool_call_parser?: string | null
SGLang tool call parser name (for example 'glm47', 'qwen25', or 'hermes').
AnthropicModelSettings { effort, max_output_tokens, parallel_tool_calls, 6 more }
effort?: "low" | "medium" | "high" | 2 more | null
Effort level for supported Anthropic models (controls token spending). 'xhigh' and 'max' are available on Opus 4.6+. Not setting this gives similar performance to 'high'.
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "anthropic"
The type of the provider.
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
strict?: boolean
Enable strict mode for tool calling. When true, tool outputs are guaranteed to match JSON schemas.
temperature?: number
The temperature of the model.
thinking?: Thinking { budget_tokens, type }
The thinking configuration for the model.
budget_tokens?: number
The maximum number of tokens the model can use for extended thinking.
type?: "enabled" | "disabled"
The type of thinking to use.
verbosity?: "low" | "medium" | "high" | null
Soft control for how verbose model output should be, used for GPT-5 models.
GoogleAIModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 3 more }
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "google_ai"
The type of the provider.
response_schema?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response schema for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
temperature?: number
The temperature of the model.
thinking_config?: ThinkingConfig { include_thoughts, thinking_budget }
The thinking configuration for the model.
include_thoughts?: boolean
Whether to include thoughts in the model's response.
thinking_budget?: number
The thinking budget for the model.
GoogleVertexModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 3 more }
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "google_vertex"
The type of the provider.
response_schema?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response schema for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
temperature?: number
The temperature of the model.
thinking_config?: ThinkingConfig { include_thoughts, thinking_budget }
The thinking configuration for the model.
include_thoughts?: boolean
Whether to include thoughts in the model's response.
thinking_budget?: number
The thinking budget for the model.
AzureModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 2 more }
Azure OpenAI model configuration (OpenAI-compatible).
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "azure"
The type of the provider.
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
temperature?: number
The temperature of the model.
XaiModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 2 more }
xAI model configuration (OpenAI-compatible).
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "xai"
The type of the provider.
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
temperature?: number
The temperature of the model.
MoonshotModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 3 more }
Moonshot/Kimi model configuration (OpenAI-compatible).
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "moonshot"
The type of the provider.
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
strict?: boolean
Enable strict mode for tool calling. When true, tool outputs are guaranteed to match JSON schemas.
temperature?: number
The temperature of the model.
ZaiModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 3 more }
Z.ai (ZhipuAI) model configuration (OpenAI-compatible).
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "zai"
The type of the provider.
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
temperature?: number
The temperature of the model.
thinking?: Thinking { clear_thinking, type }
The thinking configuration for GLM-4.5+ models.
clear_thinking?: boolean
If False, preserved thinking is used (recommended for agents).
type?: "enabled" | "disabled"
Whether thinking is enabled or disabled.
MoonshotCodingModelSettings { effort, max_output_tokens, parallel_tool_calls, 6 more }
Kimi Code model configuration (Anthropic-compatible).
effort?: "low" | "medium" | "high" | 2 more | null
Effort level for supported Anthropic models (controls token spending). 'xhigh' and 'max' are available on Opus 4.6+. Not setting this gives similar performance to 'high'.
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "moonshot_coding"
The type of the provider.
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
strict?: boolean
Enable strict mode for tool calling. When true, tool outputs are guaranteed to match JSON schemas.
temperature?: number
The temperature of the model.
thinking?: Thinking { budget_tokens, type }
The thinking configuration for the model.
budget_tokens?: number
The maximum number of tokens the model can use for extended thinking.
type?: "enabled" | "disabled"
The type of thinking to use.
verbosity?: "low" | "medium" | "high" | null
Soft control for how verbose model output should be, used for GPT-5 models.
GroqModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 2 more }
Groq model configuration (OpenAI-compatible).
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "groq"
The type of the provider.
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
temperature?: number
The temperature of the model.
DeepseekModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 2 more }
Deepseek model configuration (OpenAI-compatible).
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "deepseek"
The type of the provider.
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
temperature?: number
The temperature of the model.
TogetherModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 2 more }
Together AI model configuration (OpenAI-compatible).
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "together"
The type of the provider.
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
temperature?: number
The temperature of the model.
BedrockModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 2 more }
AWS Bedrock model configuration.
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "bedrock"
The type of the provider.
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
temperature?: number
The temperature of the model.
BasetenModelSettings { max_output_tokens, parallel_tool_calls, provider_type, temperature }
Baseten model configuration (OpenAI-compatible).
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "baseten"
The type of the provider.
temperature?: number
The temperature of the model.
OpenRouterModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 2 more }
OpenRouter model configuration (OpenAI-compatible).
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "openrouter"
The type of the provider.
response_format?: TextResponseFormat { type } | JsonSchemaResponseFormat { json_schema, type } | JsonObjectResponseFormat { type } | null
The response format for the model.
TextResponseFormat { type }
Response format for plain text responses.
type?: "text"
The type of the response format.
JsonSchemaResponseFormat { json_schema, type }
Response format for JSON schema-based responses.
json_schema: Record<string, unknown>
The JSON schema of the response.
type?: "json_schema"
The type of the response format.
JsonObjectResponseFormat { type }
Response format for JSON object responses.
type?: "json_object"
The type of the response format.
temperature?: number
The temperature of the model.
ChatGptoAuthModelSettings { max_output_tokens, parallel_tool_calls, provider_type, 2 more }
ChatGPT OAuth model configuration (uses ChatGPT backend API).
max_output_tokens?: number
The maximum number of tokens the model can generate.
parallel_tool_calls?: boolean
Whether to enable parallel tool calling.
provider_type?: "chatgpt_oauth"
The type of the provider.
reasoning?: Reasoning { reasoning_effort }
The reasoning configuration for the model.
reasoning_effort?: "none" | "low" | "medium" | 2 more
The reasoning effort level for GPT-5.x and o-series models.
temperature?: number
The temperature of the model.
summary?: string | null
A summary of the conversation.
updated_at?: string | null
The timestamp when the object was last updated.
List Conversations
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 conversations = await client.conversations.list();
console.log(conversations);
[
{
"id": "id",
"agent_id": "agent_id",
"archived": true,
"archived_at": "2019-12-27T18:11:19.117Z",
"context_window_limit": 0,
"created_at": "2019-12-27T18:11:19.117Z",
"created_by_id": "created_by_id",
"in_context_message_ids": [
"string"
],
"last_message_at": "2019-12-27T18:11:19.117Z",
"last_updated_by_id": "last_updated_by_id",
"model": "model",
"model_settings": {
"max_output_tokens": 0,
"parallel_tool_calls": true,
"provider_type": "openai",
"reasoning": {
"reasoning_effort": "none"
},
"response_format": {
"type": "text"
},
"strict": true,
"temperature": 0
},
"summary": "summary",
"updated_at": "2019-12-27T18:11:19.117Z"
}
]
Returns Examples
[
{
"id": "id",
"agent_id": "agent_id",
"archived": true,
"archived_at": "2019-12-27T18:11:19.117Z",
"context_window_limit": 0,
"created_at": "2019-12-27T18:11:19.117Z",
"created_by_id": "created_by_id",
"in_context_message_ids": [
"string"
],
"last_message_at": "2019-12-27T18:11:19.117Z",
"last_updated_by_id": "last_updated_by_id",
"model": "model",
"model_settings": {
"max_output_tokens": 0,
"parallel_tool_calls": true,
"provider_type": "openai",
"reasoning": {
"reasoning_effort": "none"
},
"response_format": {
"type": "text"
},
"strict": true,
"temperature": 0
},
"summary": "summary",
"updated_at": "2019-12-27T18:11:19.117Z"
}
]