Portkey Analytics > Summary API

openapi: 3.0.0
info:
  title: Portkey Analytics > Graphs Analytics > Summary API
  description: The Portkey REST API. Please see https://portkey.ai/docs/api-reference for more details.
  version: 2.0.0
  termsOfService: https://portkey.ai/terms
  contact:
    name: Portkey Developer Forum
    url: https://portkey.wiki/community
  license:
    name: MIT
    url: https://github.com/Portkey-AI/portkey-openapi/blob/master/LICENSE
servers:
- url: https://api.portkey.ai/v1
  description: Portkey API Public Endpoint
security:
- Portkey-Key: []
tags:
- name: Analytics > Summary
  description: Get overall summary for the selected time bucket.
paths:
  /analytics/summary/cache:
    servers:
    - url: https://api.portkey.ai/v1
      description: Portkey API Public Endpoint
    - url: SELF_HOSTED_CONTROL_PLANE_URL
      description: Self-Hosted Control Plane URL
    get:
      tags:
      - Analytics > Summary
      summary: Get cache summary data for the selected time period
      parameters:
      - $ref: '#/components/parameters/WorkspaceSlug'
      - $ref: '#/components/parameters/TimeOfGenerationMin'
      - $ref: '#/components/parameters/TimeOfGenerationMax'
      - $ref: '#/components/parameters/TotalUnitsMin'
      - $ref: '#/components/parameters/TotalUnitsMax'
      - $ref: '#/components/parameters/CostMin'
      - $ref: '#/components/parameters/CostMax'
      - $ref: '#/components/parameters/PromptTokenMin'
      - $ref: '#/components/parameters/PromptTokenMax'
      - $ref: '#/components/parameters/CompletionTokenMin'
      - $ref: '#/components/parameters/CompletionTokenMax'
      - $ref: '#/components/parameters/StatusCode'
      - $ref: '#/components/parameters/WeightedFeedbackMin'
      - $ref: '#/components/parameters/WeightedFeedbackMax'
      - $ref: '#/components/parameters/VirtualKeys'
      - $ref: '#/components/parameters/Configs'
      - $ref: '#/components/parameters/ApiKeyIds'
      - $ref: '#/components/parameters/Metadata'
      - $ref: '#/components/parameters/AiOrgModel'
      - $ref: '#/components/parameters/TraceId'
      - $ref: '#/components/parameters/SpanId'
      - $ref: '#/components/parameters/PromptSlug'
      responses:
        '200':
          description: OK
          headers:
            Content-Type:
              schema:
                type: string
                example: application/json
          content:
            application/json:
              schema:
                type: object
                properties:
                  summary:
                    type: object
                    properties:
                      hits:
                        type: integer
                        description: Total cache hits
                      avg_latency:
                        type: integer
                        description: Average latency for a cache hit
                      total_requests:
                        type: integer
                        description: Total requests
                      cache_speedup:
                        type: integer
                        description: Percentage speedup for cache hits compared to non cache hit requests
                  object:
                    type: string
                    description: The type of object being returned
                    enum:
                    - analytics-summary
                required:
                - summary
                - object
components:
  parameters:
    PromptTokenMin:
      in: query
      name: prompt_token_min
      schema:
        type: integer
        minimum: 0
      description: Minimum number of prompt tokens
    WeightedFeedbackMax:
      in: query
      name: weighted_feedback_max
      schema:
        type: number
        minimum: -10
        maximum: 10
      description: Maximum weighted feedback score
    TotalUnitsMax:
      in: query
      name: total_units_max
      schema:
        type: integer
        minimum: 0
      description: Maximum total units (tokens)
    Metadata:
      in: query
      name: metadata
      schema:
        type: string
      description: Stringifed json object with key value metadata pairs
      example: '{"_user":"user_1", "env": "staging"}'
    VirtualKeys:
      in: query
      name: virtual_keys
      schema:
        type: string
      description: Comma separated virtual key slugs
      example: vk-slug-1,vk-slug-2
    WeightedFeedbackMin:
      in: query
      name: weighted_feedback_min
      schema:
        type: number
        minimum: -10
        maximum: 10
      description: Minimum weighted feedback score
    TimeOfGenerationMax:
      in: query
      name: time_of_generation_max
      required: true
      schema:
        type: string
        format: date-time
        example: '2026-02-24T14:20:31+05:30'
      description: Maximum time of generation in ISO8601 format (YYYY-MM-DDTHH:MM:SS±HH:MM).
    CompletionTokenMax:
      in: query
      name: completion_token_max
      schema:
        type: integer
        minimum: 0
      description: Maximum number of completion tokens
    ApiKeyIds:
      in: query
      name: api_key_ids
      schema:
        type: string
      description: Comma separated API key UUIDs
      example: 765768a9-b4ec-4694-962c-d55f40cdb0dc,7c22af5a-8119-46b8-8d9b-bad3ad382387
    StatusCode:
      in: query
      name: status_code
      schema:
        type: string
      description: Comma separated response status codes
      example: 401,403
    Configs:
      in: query
      name: configs
      schema:
        type: string
      description: Comma separated config slugs
      example: pc-config-slug-1,pc-config-slug-2
    TraceId:
      in: query
      name: trace_id
      schema:
        type: string
      description: Comma separated trace IDs
      example: my-unique-trace-1,my-unique-trace-2
    CompletionTokenMin:
      in: query
      name: completion_token_min
      schema:
        type: integer
        minimum: 0
      description: Minimum number of completion tokens
    PromptSlug:
      in: query
      name: prompt_slug
      schema:
        type: string
      description: Comma separated prompt slugs
      example: prompt-slug-1,prompt-slug-2
    TotalUnitsMin:
      in: query
      name: total_units_min
      schema:
        type: integer
        minimum: 0
      description: Minimum total units (tokens)
    SpanId:
      in: query
      name: span_id
      schema:
        type: string
      description: Comma separated span IDs
      example: my-unique-span-1,my-unique-span-2
    WorkspaceSlug:
      in: query
      name: workspace_slug
      required: true
      schema:
        type: string
      description: Workspace slug filter. If a workspace API key is being used, this filter will not be taken into consideration. If an organisation API key is used and no workspace slug is passed, default workspace will be used.
    TimeOfGenerationMin:
      in: query
      name: time_of_generation_min
      required: true
      schema:
        type: string
        format: date-time
        example: '2026-02-23T14:20:31+05:30'
      description: Minimum time of generation in ISO8601 format (YYYY-MM-DDTHH:MM:SS±HH:MM).
    AiOrgModel:
      in: query
      name: ai_org_model
      schema:
        type: string
      description: Comma separated ai provider and model combination. Double underscore (__) should be used as a separator for each provider and model combination
      example: openai__gpt-3.5-turbo,azure-openai__gpt-35-turbo
    CostMax:
      in: query
      name: cost_max
      schema:
        type: number
        minimum: 0
      description: Maximum cost (in cents)
    CostMin:
      in: query
      name: cost_min
      schema:
        type: number
        minimum: 0
      description: Minimum cost (in cents)
    PromptTokenMax:
      in: query
      name: prompt_token_max
      schema:
        type: integer
        minimum: 0
      description: Maximum number of prompt tokens
  securitySchemes:
    Portkey-Key:
      type: apiKey
      in: header
      name: x-portkey-api-key
    Virtual-Key:
      type: apiKey
      in: header
      name: x-portkey-virtual-key
    Provider-Auth:
      type: http
      scheme: bearer
    Provider-Name:
      type: apiKey
      in: header
      name: x-portkey-provider
    Config:
      type: apiKey
      in: header
      name: x-portkey-config
    Custom-Host:
      type: apiKey
      in: header
      name: x-portkey-custom-host
x-server-groups:
  ControlPlaneServers:
  - url: https://api.portkey.ai/v1
    description: Portkey API Public Endpoint
  - url: SELF_HOSTED_CONTROL_PLANE_URL
    description: Self-Hosted Control Plane URL
  DataPlaneServers:
  - url: https://api.portkey.ai/v1
    description: Portkey API Public Endpoint
  - url: SELF_HOSTED_GATEWAY_URL
    description: Self-Hosted Gateway URL
  PublicServers:
  - url: https://api.portkey.ai
    description: Portkey Public API (no auth required)
x-mint:
  mcp:
    enabled: true
    name: Portkey MCP
    description: Official MCP Server for Portkey Docs & APIs
x-code-samples:
  navigationGroups:
  - id: endpoints
    title: Endpoints
  - id: assistants
    title: Assistants
  - id: legacy
    title: Legacy
  groups:
  - id: audio
    title: Audio
    description: 'Learn how to turn audio into text or text into audio.


      Related guide: [Speech to text](https://platform.openai.com/docs/guides/speech-to-text)

      '
    navigationGroup: endpoints
    sections:
    - type: endpoint
      key: createSpeech
      path: createSpeech
    - type: endpoint
      key: createTranscription
      path: createTranscription
    - type: endpoint
      key: createTranslation
      path: createTranslation
    - type: object
      key: CreateTranscriptionResponseJson
      path: json-object
    - type: object
      key: CreateTranscriptionResponseVerboseJson
      path: verbose-json-object
  - id: chat
    title: Chat
    description: 'Given a list of messages comprising a conversation, the model will return a response.


      Related guide: [Chat Completions](https://platform.openai.com/docs/guides/text-generation)

      '
    navigationGroup: endpoints
    sections:
    - type: endpoint
      key: createChatCompletion
      path: create
    - type: object
      key: CreateChatCompletionResponse
      path: object
    - type: object
      key: CreateChatCompletionStreamResponse
      path: streaming
  - id: realtime
    title: Realtime
    description: 'WebSocket proxy for provider Realtime APIs (`GET` upgrade). Use `wss://` with the same `/v1` data-plane base as other gateway routes.


      Related guide: [OpenAI Realtime API](https://platform.openai.com/docs/guides/realtime)

      '
    navigationGroup: endpoints
    sections:
    - type: endpoint
      key: connectRealtime
      path: connect
  - id: embeddings
    title: Embeddings
    description: 'Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.


      Related guide: [Embeddings](https://platform.openai.com/docs/guides/embeddings)

      '
    navigationGroup: endpoints
    sections:
    - type: endpoint
      key: createEmbedding
      path: create
    - type: object
      key: Embedding
      path: object
  - id: rerank
    title: Rerank
    description: 'Rerank a list of documents based on their relevance to a query. Reranking improves search results by scoring documents based on semantic relevance rather than keyword matching.


      Supported providers: Cohere, Voyage, Jina, Pinecone, Bedrock, Azure AI.

      '
    navigationGroup: endpoints
    sections:
    - type: endpoint
      key: createRerank
      path: create
    - type: object
      key: CreateRerankResponse
      path: object
  - id: fine-tuning
    title: Fine-tuning
    description: 'Manage fine-tuning jobs to tailor a model to your specific training data.


      Related guide: [Fine-tune models](https://platform.openai.com/docs/guides/fine-tuning)

      '
    navigationGroup: endpoints
    sections:
    - type: endpoint
      key: createFineTuningJob
      path: create
    - type: endpoint
      key: listPaginatedFineTuningJobs
      path: list
    - type: endpoint
      key: listFineTuningEvents
      path: list-events
    - type: endpoint
      key: listFineTuningJobCheckpoints
      path: list-checkpoints
    - type: endpoint
      key: retrieveFineTuningJob
      path: retrieve
    - type: endpoint
      key: cancelFineTuningJob
      path: cancel
    - type: object
      key: FinetuneChatRequestInput
      path: chat-input
    - type: object
      key: FinetuneCompletionRequestInput
      path: completions-input
    - type: object
      key: FineTuningJob
      path: object
    - type: object
      key: FineTuningJobEvent
      path: event-object
    - type: object
      key: FineTuningJobCheckpoint
      path: checkpoint-object
  - id: batch
    title: Batch
    description: 'Create large batches of API requests for asynchronous processing. The Batch API returns completions within 24 hours for a 50% discount.


      Related guide: [Batch](https://platform.openai.com/docs/guides/batch)

      '
    navigationGroup: endpoints
    sections:
    - type: endpoint
      key: createBatch
      path: create
    - type: endpoint
      key: retrieveBatch
      path: retrieve
    - type: endpoint
      key: cancelBatch
      path: cancel
    - type: endpoint
      key: listBatches
      path: list
    - type: object
      key: Batch
      path: object
    - type: object
      key: BatchRequestInput
      path: request-input
    - type: object
      key: BatchRequestOutput
      path: request-output
  - id: files
    title: Files
    description: 'Files are used to upload documents that can be used with features like [Assistants](https://platform.openai.com/docs/api-reference/assistants), [Fine-tuning](https://platform.openai.com/docs/api-reference/fine-tuning), and [Batch API](https://platform.openai.com/docs/guides/batch).

      '
    navigationGroup: endpoints
    sections:
    - type: endpoint
      key: createFile
      path: create
    - type: endpoint
      key: listFiles
      path: list
    - type: endpoint
      key: retrieveFile
      path: retrieve
    - type: endpoint
      key: deleteFile
      path: delete
    - type: endpoint
      key: downloadFile
      path: retrieve-contents
    - type: object
      key: OpenAIFile
      path: object
  - id: images
    title: Images
    description: 'Given a prompt and/or an input image, the model will generate a new image.


      Related guide: [Image generation](https://platform.openai.com/docs/guides/images)

      '
    navigationGroup: endpoints
    sections:
    - type: endpoint
      key: createImage
      path: create
    - type: endpoint
      key: createImageEdit
      path: createEdit
    - type: endpoint
      key: createImageVariation
      path: createVariation
    - type: object
      key: Image
      path: object
  - id: models
    title: Models
    description: 'List and describe the various models available in the API. You can refer to the [Models](https://platform.openai.com/docs/models) documentation to understand what models are available and the differences between them.

      '
    navigationGroup: endpoints
    sections:
    - type: endpoint
      key: listModels
      path: list
    - type: endpoint
      key: retrieveModel
      path: retrieve
    - type: endpoint
      key: deleteModel
      path: delete
    - type: object
      key: Model
      path: object
  - id: moderations
    title: Moderations
    description: 'Given some input text, outputs if the model classifies it as potentially harmful across several categories.


      Related guide: [Moderations](https://platform.openai.com/docs/guides/moderation)

      '
    navigationGroup: endpoints
    sections:
    - type: endpoint
      key: createModeration
      path: create
    - type: object
      key: CreateModerationResponse
      path: object
  - id: assistants
    title: Assistants
    beta: true
    description: 'Build assistants that can call models and use tools to perform tasks.


      [Get started with the Assistants API](https://platform.openai.com/docs/assistants)

      '
    navigationGroup: assistants
    sections:
    - type: endpoint
      key: createAssistant
      path: createAssistant
    - type: endpoint
      key: listAssistants
      path: listAssistants
    - type: endpoint
      key: getAssistant
      path: getAssistant
    - type: endpoint
      key: modifyAssistant
      path: modifyAssistant
    - type: endpoint
      key: deleteAssistant
      path: deleteAssistant
    - type: object
      key: AssistantObject
      path: object
  - id: threads
    title: Threads
    beta: true
    description: 'Create threads that assistants can interact with.


      Related guide: [Assistants](https://platform.openai.com/docs/assistants/overview)

      '
    navigationGroup: assistants
    sections:
    - type: endpoint
      key: createThread
      path: createThread
    - type: endpoint
      key: getThread
      path: getThread
    - type: endpoint
      key: modifyThread
      path: modifyThread
    - type: endpoint
      key: deleteThread
      path: deleteThread
    - type: object
      key: ThreadObject
      path: object
  - id: messages
    title: Messages
    beta: true
    description: 'Create messages within threads


      Related guide: [Assistants](https://platform.openai.com/docs/assistants/overview)

      '
    navigationGroup: assistants
    sections:
    - type: endpoint
      key: createMessage
      path: createMessage
    - type: endpoint
      key: listMessages
      path: listMessages
    - type: endpoint
      key: getMessage
      path: getMessage
    - type: endpoint
      key: modifyMessage
      path: modifyMessage
    - type: endpoint
      key: deleteMessage
      path: deleteMessage
    - type: object
      key: MessageObject
      path: object
  - id: runs
    title: Runs
    beta: true
    description: 'Represents an execution run on a thread.


      Related guide: [Assistants](https://platform.openai.com/docs/assistants/overview)

      '
    navigationGroup: assistants
    sections:
    - type: endpoint
      key: createRun
      path: createRun
    - type: endpoint
      key: createThreadAndRun
      path: createThreadAndRun
    - type: endpoint
      key: listRuns
      path: listRuns
    - type: endpoint
      key: getRun
      path: getRun
    - type: endpoint
      key: modifyRun
      path: modifyRun
    - type: endpoint
      key: submitToolOuputsToRun
      path: submitToolOutputs
    - type: endpoint
      key: cancelRun
      path: cancelRun
    - type: object
      key: RunObject
      path: object
  - id: run-steps
    title: Run Steps
    beta: true
    description: 'Represents the steps (model and tool calls) taken during the run.


      Related guide: [Assistants](https://platform.openai.com/docs/assistants/overview)

      '
    navigationGroup: assistants
    sections:
    - type: endpoint
      key: listRunSteps
      path: listRunSteps
    - type: endpoint
      key: getRunStep
      path: getRunStep
    - type: object
      key: RunStepObject
      path: step-object
  - id: vector-stores
    title: Vector Stores
    beta: true
    description: 'Vector stores are used to store files for use by the `file_search` tool.


      Related guide: [File Search](https://platform.openai.com/docs/assistants/tools/file-search)

      '
    navigationGroup: assistants
    sections:
    - type: endpoint
      key: createVectorStore
      path: create
    - type: endpoint
      key: listVectorStores
      path: list
    - type: endpoint
      key: getVectorStore
      path: retrieve
    - type: endpoint
      key: modifyVectorStore
      path: modify
    - type: endpoint
      key: deleteVectorStore
      path: delete
    - type: object
      key: VectorStoreObject
      path: object
  - id: vector-stores-files
    title: Vector Store Files
    beta: true
    description: 'Vector store files represent files inside a vector store.


      Related guide: [File Search](https://platform.openai.com/docs/assistants/tools/file-search)

      '
    navigationGroup: assistants
    sections:
    - type: endpoint
      key: createVectorStoreFile
      path: createFile
    - type: endpoint
      key: listVectorStoreFiles
      path: listFiles
    - type: endpoint
      key: getVectorStoreFile
      path: getFile
    - type: endpoint
      key: deleteVectorStoreFile
      path: deleteFile
    - type: object
      key: VectorStoreFileObject
      path: file-object
  - id: vector-stores-file-batches
    title: Vector Store File Batches
    beta: true
    description: 'Vector store file batches represent operations to add multiple files to a vector store.


      Related guide: [File Search](https://platform.openai.com/docs/assistants/tools/file-search)

      '
    navigationGroup: assistants
    sections:
    - type: endpoint
      key: createVectorStoreFileBatch
      path: createBatch
    - type: endpoint
      key: getVectorStoreFileBatch
      path: getBatch
    - type: endpoint
      key: cancelVectorStoreFileBatch
      path: cancelBatch
    - type: endpoint
      key: listFilesInVectorStoreBatch
      path: listBatchFiles
    - type: object
      key: VectorStoreFileBatchObject
      path: batch-object
  - id: assistants-streaming
    title: Streaming
    beta: true
    description: 'Stream the result of executing a Run or resuming a Run after submitting tool outputs.


      You can stream events from the [Create Thread and Run](https://platform.openai.com/docs/api-reference/runs/createThreadAndRun),

      [Create Run](https://platform.openai.com/docs/api-reference/runs/createRun), and [Submit Tool Outputs](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)

      endpoints by passing `"stream": true`. The response will be a [Server-Sent events](https://html.spec.whatwg.org/multipage/server-sent-events.html#server-sent-events) stream.


      Our Node and Python SDKs provide helpful utilities to make streaming easy. Reference the

      [Assistants API quickstart](https://platform.openai.com/docs/assistants/overview) to learn more.

      '
    navigationGroup: assistants
    sections:
    - type: object
      key: MessageDeltaObject
      path: message-delta-object
    - type: object
      key: RunStepDeltaObject
      path: run-step-delta-object
    - type: object
      key: AssistantStreamEvent
      path: events
  - id: completions
    title: Completions
    legacy: true
    navigationGroup: legacy
    description: 'Given a prompt, the model will return one or more predicted completions along with the probabilities of alternative tokens at each position. Most developer should use our [Chat Completions API](https://platform.openai.com/docs/guides/text-generation/text-generation-models) to leverage our best and newest models.

      '
    sections:
    - type: endpoint
      key: createCompletion
      path: create
    - type: object
      key: CreateCompletionResponse
      path: object