Retrieve Conversation
Retrieve a specific conversation.
ParametersExpand Collapse
conversation_id: str
The conversation identifier. Either the special value 'default' or an ID in the format 'conv-
ReturnsExpand Collapse
class Conversation: …
Represents a conversation on an agent for concurrent messaging.
id: str
The unique identifier of the conversation.
agent_id: str
The ID of the agent this conversation belongs to.
created_at: Optional[datetime]
The timestamp when the object was created.
created_by_id: Optional[str]
The id of the user that made this object.
in_context_message_ids: Optional[List[str]]
The IDs of in-context messages for the conversation.
isolated_block_ids: Optional[List[str]]
IDs of blocks that are isolated (specific to this conversation, overriding agent defaults).
last_updated_by_id: Optional[str]
The id of the user that made this object.
model: Optional[str]
The model handle for this conversation (overrides agent's model). Format: provider/model-name.
model_settings: Optional[ModelSettings]
The model settings for this conversation (overrides agent's model settings).
class OpenAIModelSettings: …
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["openai"]]
The type of the provider.
reasoning: Optional[Reasoning]
The reasoning configuration for the model.
reasoning_effort: Optional[Literal["none", "minimal", "low", 3 more]]
The reasoning effort to use when generating text reasoning models
response_format: Optional[ResponseFormat]
The response format for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
strict: Optional[bool]
Enable strict mode for tool calling. When true, tool outputs are guaranteed to match JSON schemas.
temperature: Optional[float]
The temperature of the model.
class AnthropicModelSettings: …
effort: Optional[Literal["low", "medium", "high"]]
Effort level for Opus 4.5 model (controls token conservation). Not setting this gives similar performance to 'high'.
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["anthropic"]]
The type of the provider.
response_format: Optional[ResponseFormat]
The response format for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
strict: Optional[bool]
Enable strict mode for tool calling. When true, tool outputs are guaranteed to match JSON schemas.
temperature: Optional[float]
The temperature of the model.
thinking: Optional[Thinking]
The thinking configuration for the model.
budget_tokens: Optional[int]
The maximum number of tokens the model can use for extended thinking.
type: Optional[Literal["enabled", "disabled"]]
The type of thinking to use.
verbosity: Optional[Literal["low", "medium", "high"]]
Soft control for how verbose model output should be, used for GPT-5 models.
class GoogleAIModelSettings: …
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["google_ai"]]
The type of the provider.
response_schema: Optional[ResponseSchema]
The response schema for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
temperature: Optional[float]
The temperature of the model.
thinking_config: Optional[ThinkingConfig]
The thinking configuration for the model.
include_thoughts: Optional[bool]
Whether to include thoughts in the model's response.
thinking_budget: Optional[int]
The thinking budget for the model.
class GoogleVertexModelSettings: …
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["google_vertex"]]
The type of the provider.
response_schema: Optional[ResponseSchema]
The response schema for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
temperature: Optional[float]
The temperature of the model.
thinking_config: Optional[ThinkingConfig]
The thinking configuration for the model.
include_thoughts: Optional[bool]
Whether to include thoughts in the model's response.
thinking_budget: Optional[int]
The thinking budget for the model.
class AzureModelSettings: …
Azure OpenAI model configuration (OpenAI-compatible).
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["azure"]]
The type of the provider.
response_format: Optional[ResponseFormat]
The response format for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
temperature: Optional[float]
The temperature of the model.
class XaiModelSettings: …
xAI model configuration (OpenAI-compatible).
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["xai"]]
The type of the provider.
response_format: Optional[ResponseFormat]
The response format for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
temperature: Optional[float]
The temperature of the model.
class ModelSettingsZaiModelSettings: …
Z.ai (ZhipuAI) model configuration (OpenAI-compatible).
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["zai"]]
The type of the provider.
response_format: Optional[ModelSettingsZaiModelSettingsResponseFormat]
The response format for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
temperature: Optional[float]
The temperature of the model.
thinking: Optional[ModelSettingsZaiModelSettingsThinking]
The thinking configuration for GLM-4.5+ models.
clear_thinking: Optional[bool]
If False, preserved thinking is used (recommended for agents).
type: Optional[Literal["enabled", "disabled"]]
Whether thinking is enabled or disabled.
class GroqModelSettings: …
Groq model configuration (OpenAI-compatible).
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["groq"]]
The type of the provider.
response_format: Optional[ResponseFormat]
The response format for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
temperature: Optional[float]
The temperature of the model.
class DeepseekModelSettings: …
Deepseek model configuration (OpenAI-compatible).
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["deepseek"]]
The type of the provider.
response_format: Optional[ResponseFormat]
The response format for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
temperature: Optional[float]
The temperature of the model.
class TogetherModelSettings: …
Together AI model configuration (OpenAI-compatible).
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["together"]]
The type of the provider.
response_format: Optional[ResponseFormat]
The response format for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
temperature: Optional[float]
The temperature of the model.
class BedrockModelSettings: …
AWS Bedrock model configuration.
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["bedrock"]]
The type of the provider.
response_format: Optional[ResponseFormat]
The response format for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
temperature: Optional[float]
The temperature of the model.
class ModelSettingsOpenRouterModelSettings: …
OpenRouter model configuration (OpenAI-compatible).
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["openrouter"]]
The type of the provider.
response_format: Optional[ModelSettingsOpenRouterModelSettingsResponseFormat]
The response format for the model.
class TextResponseFormat: …
Response format for plain text responses.
type: Optional[Literal["text"]]
The type of the response format.
class JsonSchemaResponseFormat: …
Response format for JSON schema-based responses.
json_schema: Dict[str, object]
The JSON schema of the response.
type: Optional[Literal["json_schema"]]
The type of the response format.
class JsonObjectResponseFormat: …
Response format for JSON object responses.
type: Optional[Literal["json_object"]]
The type of the response format.
temperature: Optional[float]
The temperature of the model.
class ModelSettingsChatGptoAuthModelSettings: …
ChatGPT OAuth model configuration (uses ChatGPT backend API).
max_output_tokens: Optional[int]
The maximum number of tokens the model can generate.
parallel_tool_calls: Optional[bool]
Whether to enable parallel tool calling.
provider_type: Optional[Literal["chatgpt_oauth"]]
The type of the provider.
reasoning: Optional[ModelSettingsChatGptoAuthModelSettingsReasoning]
The reasoning configuration for the model.
reasoning_effort: Optional[Literal["none", "low", "medium", 2 more]]
The reasoning effort level for GPT-5.x and o-series models.
temperature: Optional[float]
The temperature of the model.
summary: Optional[str]
A summary of the conversation.
updated_at: Optional[datetime]
The timestamp when the object was last updated.
Retrieve Conversation
import os
from letta_client import Letta
client = Letta(
api_key=os.environ.get("LETTA_API_KEY"), # This is the default and can be omitted
)
conversation = client.conversations.retrieve(
"default",
)
print(conversation.id)
{
"id": "id",
"agent_id": "agent_id",
"created_at": "2019-12-27T18:11:19.117Z",
"created_by_id": "created_by_id",
"in_context_message_ids": [
"string"
],
"isolated_block_ids": [
"string"
],
"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",
"created_at": "2019-12-27T18:11:19.117Z",
"created_by_id": "created_by_id",
"in_context_message_ids": [
"string"
],
"isolated_block_ids": [
"string"
],
"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"
}