> ## Documentation Index
> Fetch the complete documentation index at: https://doc.rapida.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Get All Assistant Analysis

Retrieves a list of all assistant analyses with optional filtering and pagination using the Rapida API.

<Info>
  For more authentication options, see: [https://doc.rapida.ai/api-reference/authentication](https://doc.rapida.ai/api-reference/authentication)
</Info>

### Parameters

<ParamField body="connectionConfig" type="ConnectionConfig" required>
  Configuration for the client connection.
</ParamField>

<ParamField body="request" type="GetAllAssistantAnalysisRequest" required>
  <Expandable>
    <ParamField body="assistantId" type="uint64" required>
      The unique identifier of the assistant to retrieve analyses for.
    </ParamField>

    <ParamField body="paginate" type="Paginate" optional>
      Pagination configuration for the request.

      <Expandable>
        <ParamField body="page" type="uint32">
          Page number to retrieve (0-based).
        </ParamField>

        <ParamField body="pageSize" type="uint32">
          Number of items per page.
        </ParamField>
      </Expandable>
    </ParamField>

    <ParamField body="criterias" type="Criteria[]" optional>
      Array of search criteria to filter results.

      <Expandable>
        <ParamField body="key" type="string">
          The field key to filter on.
        </ParamField>

        <ParamField body="value" type="string">
          The value to filter by.
        </ParamField>

        <ParamField body="logic" type="string">
          The logic operator for the filter. Accepted values: "should" or "must".
        </ParamField>
      </Expandable>
    </ParamField>
  </Expandable>
</ParamField>

### Usage

<CodeGroup>
  ```python Python theme={null}
  from rapida import (
      ConnectionConfig,
      GetAllAssistantConversationRequest,
      get_all_assistant_conversation,
  )
  from pprint import pprint
  connection_config = ConnectionConfig.default_connection_config(
      ConnectionConfig.with_sdk("{rapida-api-key}")
  )
  response = get_all_assistant_conversation(
      client_cfg=connection_config,
      request=GetAllAssistantConversationRequest(
          assistantId="{assistant_id}",
          paginate=Paginate(page=0, pageSize=20),
          # criterias=[Criteria(key="KEY", value="VALUE", logic="should")],
      ),
  )
  pprint(response)
  ```

  ```go Go theme={null}

  import (
  	"context"
  	"fmt"
  	"os"

  	clients "github.com/rapidaai/rapida-go/rapida/clients"
  	rapida_proto "github.com/rapidaai/rapida-go/rapida/clients/protos"
  	connections "github.com/rapidaai/rapida-go/rapida/connections"
  )

  func main() {
  	// Configure client connection using RAPIDA_PROJECT_CREDENTIAL environment variable
  	connectionConfig := connections.
  		DefaultconnectionConfig(connections.WithSDK(os.Getenv("RAPIDA_PROJECT_CREDENTIAL")))

  	// Retrieve all assistant analyses with pagination
  	response, err := clients.GetAllAssistantAnalysis(context.Background(), connectionConfig, &rapida_proto.GetAllAssistantAnalysisRequest{
  		AssistantId: 3456789876541212,
  		Paginate: &rapida_proto.Paginate{
  			Page:     0,
  			PageSize: 20,
  		},
  		// Optional: Add search criteria
  		// Criterias: []*rapida_proto.Criteria{{
  		// 	Key:   "key",
  		// 	Value: "value",
  		// 	Logic: "should", // or "must"
  		// }},
  	})

  	if err != nil {
  		fmt.Printf("Error while making call using rapida: %+v\n", err)
  		return
  	}

  	// Print the response
  	fmt.Printf("Rapida calling response: %+v\n", response)
  }
  ```

  ```typescript NodeJs theme={null}

  import {
    ConnectionConfig,
    Paginate,
    GetAllAssistantAnalysis,
    GetAllAssistantAnalysisRequest,
  } from "@rapidaai/nodejs";

  (async () => {
    const connectionCfg = ConnectionConfig.DefaultConnectionConfig(
      ConnectionConfig.WithSDK({
        ApiKey: process.env.RAPIDA_PROJECT_CREDENTIAL,
      })
    );
    getAllAssistantAnalysis(connectionCfg, 56789678987890121, 0, 20);
  })();

  async function getAllAssistantAnalysis(connectionCfg, assistantId, page = 0, pageSize = 20) {
    const pagination = new Paginate();
    pagination.setPage(page);
    pagination.setPageSize(pageSize);

    const request = new GetAllAssistantAnalysisRequest();
    request.setAssistantId(assistantId);
    request.setPaginate(pagination);

    try {
      const response = await GetAllAssistantAnalysis(request);
      console.log("All Assistant Analyses Response:", response.toObject());
    } catch (error) {
      console.error("Error with GetAllAssistantAnalysis call:", error);
    }
  }

  ```
</CodeGroup>

### Response

<ParamField body="code" type="int32">
  Numeric status code for the operation.
</ParamField>

<ParamField body="success" type="boolean">
  Indicates whether the operation was successful.
</ParamField>

<ParamField body="data" type="AssistantAnalysis[]">
  Array of assistant analysis objects.

  <Expandable>
    <ParamField body="id" type="uint64">
      Unique identifier for the assistant analysis.
    </ParamField>

    <ParamField body="name" type="string">
      Name of the assistant analysis.
    </ParamField>

    <ParamField body="description" type="string">
      Description of the assistant analysis purpose.
    </ParamField>

    <ParamField body="endpointId" type="uint64">
      Identifier of the associated endpoint.
    </ParamField>

    <ParamField body="endpointVersion" type="string">
      Version of the endpoint being used.
    </ParamField>

    <ParamField body="endpointParameters" type="map[string]string">
      Key-value pairs of parameters for the endpoint.
    </ParamField>

    <ParamField body="assistantId" type="uint64">
      Identifier of the associated assistant.
    </ParamField>

    <ParamField body="status" type="string">
      Current status of the assistant analysis.
    </ParamField>

    <ParamField body="createdBy" type="uint64">
      Identifier of the analysis creator.
    </ParamField>

    <ParamField body="createdUser" type="User">
      User object of the analysis creator.
    </ParamField>

    <ParamField body="updatedBy" type="uint64">
      Identifier of the last updater.
    </ParamField>

    <ParamField body="updatedUser" type="User">
      User object of the last updater.
    </ParamField>

    <ParamField body="createdDate" type="timestamp">
      Timestamp when the analysis was created.
    </ParamField>

    <ParamField body="updatedDate" type="timestamp">
      Timestamp when the analysis was last updated.
    </ParamField>

    <ParamField body="executionPriority" type="uint32">
      Priority level for analysis execution.
    </ParamField>
  </Expandable>
</ParamField>

<ParamField body="paginated" type="Paginated">
  Pagination information for the response.
</ParamField>

<ParamField body="error" type="object">
  Error information, if applicable.

  <Expandable>
    <ResponseField name="errorCode" type="uint64">
      Machine-readable error code.
    </ResponseField>

    <ResponseField name="errorMessage" type="string">
      Detailed error message.
    </ResponseField>

    <ResponseField name="humanMessage" type="string">
      Human-readable error message.
    </ResponseField>
  </Expandable>
</ParamField>
