> ## Documentation Index > Fetch the complete documentation index at: https://portkey-docs-feat-rerank-documentation.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Get rescued requests data ## OpenAPI ````yaml get /analytics/graphs/requests/rescued openapi: 3.0.0 info: title: Portkey 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: Assistants description: Build Assistants that can call models and use tools. - name: Audio description: Turn audio into text or text into audio. - name: Chat description: >- Given a list of messages comprising a conversation, the model will return a response. - name: Realtime description: WebSocket proxy for provider Realtime APIs - name: Collections description: Create, List, Retrieve, Update, and Delete collections of prompts. - name: Labels description: Create, List, Retrieve, Update, and Delete labels. - name: Prompt Collections description: Create, List, Retrieve, Update, and Delete prompt collections. - name: PromptPartials description: Create, List, Retrieve, Update, and Delete prompt partials. - name: Prompts description: >- Given a prompt template ID and variables, will run the saved prompt template and return a response. - name: Guardrails description: Create, List, Retrieve, Update, and Delete prompt Guardrails. - name: Completions description: >- Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position. - name: Embeddings description: >- Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. - name: Rerank description: >- Rerank a list of documents based on their relevance to a query. Supported providers include Cohere, Voyage, Jina, Pinecone, Bedrock, and Azure AI. - name: Fine-tuning description: Manage fine-tuning jobs to tailor a model to your specific training data. - name: Batch description: Create large batches of API requests to run asynchronously. - name: Files description: >- Files are used to upload documents that can be used with features like Assistants and Fine-tuning. - name: Images description: Given a prompt and/or an input image, the model will generate a new image. - name: Models description: List and describe the various models available in the API. - name: Moderations description: >- Given a input text, outputs if the model classifies it as potentially harmful. - name: Configs description: Create, List, Retrieve, and Update your Portkey Configs. - name: Feedback description: Send and Update any feedback. - name: Logs description: Custom Logger to add external logs to Portkey. - name: Integrations description: Create, List, Retrieve, Update, and Delete your Portkey Integrations. - name: Integrations > Workspaces description: Manage workspace access for your Portkey Integrations. - name: Integrations > Models description: Manage model access for your Portkey Integrations. - name: Providers description: Create, List, Retrieve, Update, and Delete your Portkey Providers. - name: Virtual-keys description: Create, List, Retrieve, Update, and Delete your Portkey Virtual keys. - name: Users description: Create and manage users. - name: User-invites description: Create and manage user invites. - name: Workspaces description: Create and manage workspaces. - name: Workspaces > Members description: Create and manage workspace members. - name: MCP Integrations description: Create, List, Retrieve, Update, and Delete MCP Integrations. - name: MCP Integrations > Workspaces description: Manage workspace access for MCP Integrations. - name: MCP Integrations > Capabilities description: List and manage capabilities for MCP Integrations. - name: MCP Integrations > Metadata description: Get MCP Integration metadata and sync info. - name: MCP Servers description: >- Create, List, Retrieve, Update, and Delete MCP Servers (workspace instances of MCP Integrations). - name: MCP Servers > Capabilities description: List and manage capabilities for MCP Servers. - name: MCP Servers > User Access description: List and manage user access for MCP Servers. - name: MCP Servers > Connections description: List and manage user connections for MCP Servers. - name: Api-Keys description: Create, List, Retrieve, Update, and Delete your Portkey API keys. - name: Logs Export description: Exports logs service. - name: Audit Logs description: Get audit logs for your Portkey account. - name: Analytics description: >- Get analytics over different data points like requests, costs, tokens, etc. - name: Analytics > Graphs description: Get data points for graphical representation. - name: Analytics > Summary description: Get overall summary for the selected time bucket. - name: Analytics > Groups description: Get grouped metrics for the selected time bucket. - name: Usage Limits Policies description: Manage usage limits policies to control total usage over time - name: Rate Limits Policies description: Manage rate limits policies to control request or token rates - name: Model Pricing description: Model pricing configurations for 2300+ LLMs across 40+ providers - name: Secret-References description: >- Create, List, Retrieve, Update, and Delete secret references to external secret managers. paths: /analytics/graphs/requests/rescued: 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 > Graphs summary: Get retry and fallback rescued requests graph 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: retry: type: integer description: >- Total requests rescued using retries across all data points fallback: type: integer description: >- Total requests rescued using fallback across all data points required: - retry - fallback data_points: type: array items: type: object properties: timestamp: type: string format: date-time description: The timestamp for the data point bucket retry: type: array items: type: object properties: retry_success_count: type: integer description: >- Retry attempt count at which the request was rescued count: type: integer description: Total requests rescued at this retry attempt fallback: type: integer description: >- Total requests rescued using fallback for this data point bucket required: - timestamp - retry - fallback description: An array of data points, each with a timestamp and metrics object: type: string description: The type of object being returned enum: - analytics-graph required: - summary - data_points - object components: parameters: 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). 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). TotalUnitsMin: in: query name: total_units_min schema: type: integer minimum: 0 description: Minimum total units (tokens) TotalUnitsMax: in: query name: total_units_max schema: type: integer minimum: 0 description: Maximum total units (tokens) CostMin: in: query name: cost_min schema: type: number minimum: 0 description: Minimum cost (in cents) CostMax: in: query name: cost_max schema: type: number minimum: 0 description: Maximum cost (in cents) PromptTokenMin: in: query name: prompt_token_min schema: type: integer minimum: 0 description: Minimum number of prompt tokens PromptTokenMax: in: query name: prompt_token_max schema: type: integer minimum: 0 description: Maximum number of prompt tokens CompletionTokenMin: in: query name: completion_token_min schema: type: integer minimum: 0 description: Minimum number of completion tokens CompletionTokenMax: in: query name: completion_token_max schema: type: integer minimum: 0 description: Maximum number of completion tokens StatusCode: in: query name: status_code schema: type: string description: Comma separated response status codes example: 401,403 WeightedFeedbackMin: in: query name: weighted_feedback_min schema: type: number minimum: -10 maximum: 10 description: Minimum weighted feedback score WeightedFeedbackMax: in: query name: weighted_feedback_max schema: type: number minimum: -10 maximum: 10 description: Maximum weighted feedback score VirtualKeys: in: query name: virtual_keys schema: type: string description: Comma separated virtual key slugs example: vk-slug-1,vk-slug-2 Configs: in: query name: configs schema: type: string description: Comma separated config slugs example: pc-config-slug-1,pc-config-slug-2 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 Metadata: in: query name: metadata schema: type: string description: Stringifed json object with key value metadata pairs example: '{"_user":"user_1", "env": "staging"}' 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 TraceId: in: query name: trace_id schema: type: string description: Comma separated trace IDs example: my-unique-trace-1,my-unique-trace-2 SpanId: in: query name: span_id schema: type: string description: Comma separated span IDs example: my-unique-span-1,my-unique-span-2 PromptSlug: in: query name: prompt_slug schema: type: string description: Comma separated prompt slugs example: prompt-slug-1,prompt-slug-2 securitySchemes: Portkey-Key: type: apiKey in: header name: x-portkey-api-key ````