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Seekr Internal API

The Internal API from Seekr — 39 operation(s) for internal.

Seekr Internal API is one of 35 APIs that Seekr publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Internal. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, an API reference, and authentication docs.

This API exposes 46 operations across 39 paths, and defines 72 schemas. It is described by OpenAPI 3.2.0, at version 1.0.

Requests are made against a single base URL, https://flow.seekr.com.

46 operations 39 paths 72 schemas 3 DELETE24 GET1 PATCH16 POST2 PUT

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
1.0
Base URL
https://flow.seekr.com/v1
Authentication
API Key, HTTP Bearer
Terms of Service
Resource Areas
1

Authentication & Security 2

Seekr Internal API declares 2 security schemes for authenticating requests. An API key is passed in the header as Authorization (APIKeyHeader). It accepts HTTP bearer tokens (HTTPBearer).

  • APIKeyHeader — Your Seekr API key, sent in the Authorization header with no 'Bearer' prefix.

Paths & Operations 46

Across 39 paths, the API surfaces 46 operations — 3 DELETE, 24 GET, 1 PATCH, 16 POST, 2 PUT. Each is listed below with its method, path, parameters, and response codes.

Internal 46
POST
/v1/internal/runs/latest
List Agent Latest Runs Endpoint
list_agent_latest_runs_endpoint_v1_internal_runs_latest_post body → 200422
GET
/v1/internal/agents
List Registered Agents Endpoint
list_registered_agents_endpoint_v1_internal_agents_get → 200
POST
/v1/internal/functions/validate-function-ids
Validate Function Ids
validate_function_ids_v1_internal_functions_validate_function_ids_post body → 200422
POST
/v1/internal/functions/by-ids
Get Functions By Ids
get_functions_by_ids_v1_internal_functions_by_ids_post body → 200422
GET
/version
Version
version_version_get → 200
GET
/v1/explainability/
Read Root
read_root_v1_explainability__get → 200
GET
/v1/explainability/status
Check Status
check_status_v1_explainability_status_get → 200
POST
/v1/explainability/create-index
Create Index
create_index_v1_explainability_create_index_post body → 200422
POST
/v1/explainability/populate-index
Populate Index
populate_index_v1_explainability_populate_index_post body → 200422
POST
/v1/explainability/delete-index
Delete Index
delete_index_v1_explainability_delete_index_post body → 200422
GET
/v1/explainability/influential-finetuning-data
Get Influential Finetuning Data
get_influential_finetuning_data_v1_explainability_influential_finetuning_data_get 10 params → 200422
GET
/v1/explainability/populate-index-job-status
Populate Index Job Status
populate_index_job_status_v1_explainability_populate_index_job_status_get 2 params → 200422
PATCH
/v2/flow/internal/agents/{agent_id}/update-status
Update Status
update_status_v2_flow_internal_agents__agent_id__update_status_patch 1 param body → 200422
GET
/v1/flow/alignment/{alignment_job_id}/workflow-phase
Alignment Workflow Phase
alignment_workflow_phase_v1_flow_alignment__alignment_job_id__workflow_phase_get 1 param → 200422
GET
/v1/flow_internal/health
Health
health_v1_flow_internal_health_get → 200
POST
/v1/flow/evals/cases
Create Case Route
create_case_route_v1_flow_evals_cases_post body → 200422
GET
/v1/flow/evals/cases
List Cases Route
list_cases_route_v1_flow_evals_cases_get 7 params → 200422
GET
/v1/flow/evals/cases/{case_id}
Get Case Route
get_case_route_v1_flow_evals_cases__case_id__get 1 param → 200422
PUT
/v1/flow/evals/cases/{case_id}
Update Case Route
update_case_route_v1_flow_evals_cases__case_id__put 1 param body → 200422
DELETE
/v1/flow/evals/cases/{case_id}
Delete Case Route
delete_case_route_v1_flow_evals_cases__case_id__delete 1 param → 204422
POST
/v1/flow/feedback/upload
Upload Feedback Route
upload_feedback_route_v1_flow_feedback_upload_post body → 200422
GET
/v1/flow/feedback/images/{image_id}
Get Feedback Image Route
get_feedback_image_route_v1_flow_feedback_images__image_id__get 1 param → 200422
POST
/v1/flow/feedback/
Create Feedback Route
create_feedback_route_v1_flow_feedback__post body → 200422
GET
/v1/flow/feedback/
List Feedback Route
list_feedback_route_v1_flow_feedback__get 8 params → 200422
GET
/v1/flow/feedback/{feedback_id}
Get Feedback Route
get_feedback_route_v1_flow_feedback__feedback_id__get 1 param → 200422
DELETE
/v1/flow/feedback/{feedback_id}
Delete Feedback Route
delete_feedback_route_v1_flow_feedback__feedback_id__delete 1 param → 204422
PUT
/v1/flow/feedback/{feedback_id}
Update Feedback Route
update_feedback_route_v1_flow_feedback__feedback_id__put 1 param body → 200422
GET
/v1/flow/internal/images/{image_id}
Get Image Route
get_image_route_v1_flow_internal_images__image_id__get 1 param → 200422
DELETE
/v1/flow/internal/images/{image_id}
Delete Image Route
delete_image_route_v1_flow_internal_images__image_id__delete 1 param → 200422
GET
/v1/flow/internal/images/{image_id}/content
Get Image Content Route
get_image_content_route_v1_flow_internal_images__image_id__content_get 1 param → 200422
POST
/v1/flow/internal/images
Create Images Route
create_images_route_v1_flow_internal_images_post body → 200422
GET
/v1/flow/fine-tunes/{fine_tune_id}/workflow-phase
Fine Tune Workflow Phase
fine_tune_workflow_phase_v1_flow_fine_tunes__fine_tune_id__workflow_phase_get 1 param → 200422
GET
/v1/flow/fine-tunes/{fine_tune_id}/demote-modeldeprecated
Demote Model
demote_model_v1_flow_fine_tunes__fine_tune_id__demote_model_get 2 params → 200422
GET
/v1/flow/fine-tunes/{fine_tune_id}/promote-modeldeprecated
Promote Model
promote_model_v1_flow_fine_tunes__fine_tune_id__promote_model_get 2 params → 200422
POST
/internal/finetune/{fine_tune_id}/status
Training Status Update
training_status_update_internal_finetune__fine_tune_id__status_post 2 params body → 200422
GET
/v1/flow/internal/health
Get Health Internal
get_health_internal_v1_flow_internal_health_get → 200
POST
/v1/flow/pricing/inference/serverless
Generate Price Estimate For Serverless Inference
generate_price_estimate_for_serverless_inference_v1_flow_pricing_inference_serverless_post body → 200422
POST
/v1/flow/pricing/fine-tuning
Generate Price Estimate For Finetuning
generate_price_estimate_for_finetuning_v1_flow_pricing_fine_tuning_post body → 200422
POST
/v1/flow/pricing/inference/dedicated
Generate Price Estimate For Dedicated Inference
generate_price_estimate_for_dedicated_inference_v1_flow_pricing_inference_dedicated_post body → 200422
GET
/v1/flow/internal/deployments/{deployment_id}
Internal Deployment By Id
internal_deployment_by_id_v1_flow_internal_deployments__deployment_id__get 2 params → 200422
POST
/v1/flow/internal/deployments/{deployment_id}/status
Update the status of a deployment (Internal)
update_deployment_status_internal_v1_flow_internal_deployments__deployment_id__status_post 1 param body → 200422
GET
/v1/flow/internal/models
Ml Models
ml_models_v1_flow_internal_models_get 1 param → 200422
GET
/v1/flow/internal/deployments
Deployments
deployments_v1_flow_internal_deployments_get 1 param → 200422
GET
/v1/flow/internal/models/info
Ml Model By Model Id
ml_model_by_model_id_v1_flow_internal_models_info_get 1 param → 200422
GET
/v1/flow/internal/models/hf_revision
Ml Model Hf Revision By Model Name
ml_model_hf_revision_by_model_name_v1_flow_internal_models_hf_revision_get 1 param → 200422
POST
/v1/flow/internal/explain/populate-index
Populate Explainability Index Route
populate_explainability_index_route_v1_flow_internal_explain_populate_index_post body → 200422

Schemas 72

The contract defines 72 schemas that model the data the API accepts and returns. The most detailed are Deployment (29 properties), AgentSchemaV2 (18 properties), GetHealthResponse (17 properties), MLModel (16 properties). Each schema is shown below with its type and property counts.

StatusUpdate
object
2 properties 1 required
ReasoningEffort
string
Controls how much reasoning the agent uses when working through a request. Accepts low, medium, or high, where higher levels produce more thorough reasoning. T…
RegisteredAgent
object
A registered agent currently known by agents-router.
6 properties 6 required
CreateImageForm
object
3 properties 1 required
CreateIndexResponse
object
CreateIndexResponse represents the response model for creating an index. Attributes: indexname (str): the index name that has been created. status (str): statu…
2 properties 1 required
AgentAsToolConfig
object
1 property 1 required
PopulateIndexRequest
object
PopulateIndexRequest represents the request model for populating an index with the data to the given index. This model is used to specify the parquet file cont…
5 properties 3 required
PopulateIndexResponse
object
PopulateIndexResponse represents the response model for populating an index. This model is used to specify the parquet file containing QA pairs used to fine-tu…
2 properties 2 required
AgentOutputConfig
object
4 properties
Deployment
object
29 properties 14 required
PopulateIndexRequest_2
object
Request model for populating explainability index
4 properties 4 required
PricingEstimateResponseModel
object
9 properties 7 required
InfluenceLevel
string
ImageResponse
object
7 properties 6 required
Case
object
9 properties 5 required
DeleteIndexRequest
object
DeleteIndexRequest represents the request model for deleting an index. Attributes: teamid (str): team id modelid (str): the fine-tuned model id in SeekrFlow.
2 properties 2 required
PricingEstimateFineTuningRequestModel
object
3 properties 2 required
llm_training__agents__tools__standalone__schemas__RunPython
object
Configuration for the run Python tool, which lets the agent execute developer-defined Python functions.
5 properties 2 required
MLModelType
string
MCPConnectorToolResponseConfig
object
3 properties 1 required
QuestionAnswerPair
object
4 properties 4 required
AgentOutputFrequency
string
CreateIndexRequest
object
CreateIndexRequest represents the request model for creating an index. Attributes: indexname (str): the index name for a fine-tuned model in SeekrFlow. usespar…
2 properties 1 required
StatusResponse
object
2 properties 2 required
GetMLModelsResponse
object
1 property 1 required
PricingEstimateDedicatedInferenceRequestModel
object
2 properties 2 required
UpdateCaseRequest
object
4 properties
PythonFunctionIdsRequest
object
Request model for retrieving Python functions by a list of IDs.
1 property 1 required
GetHealthResponse
object
17 properties 17 required
LatestRun
object
A minimal Run model to be used for determining the latest run of an agent.
3 properties 3 required
HardwareType
string
PopulateIndexResponse_2
object
Response model for populate index operation
2 properties 2 required
MLModel
object
16 properties 12 required
HTTPValidationError
object
1 property
WorkflowPhaseResponse
object
Internal: the Argo workflow phase backing a job. phase is the raw Argo phase (e.g. Running, Succeeded, Failed, Error) or None when the workflow no longer exist…
1 property
DeploymentStatus
string
llm_training__agents__tools__standalone__schemas__AgentAsTool
object
Configuration for an agent-as-tool, which delegates subtasks to another agent and returns the result to the supervisor.
5 properties 3 required
ValidatePythonFunctionIdsRequest
object
Request model for validating a list of Python function IDs for a team.
2 properties 2 required
CalculationParameter
object
3 properties 2 required
AgentStatus_2
string
UpdateDeploymentStatusRequest
object
2 properties 1 required
llm_training__agents__tools__standalone__schemas__MCPConnectorTool
object
Configuration for the MCP connector tool, which connects the agent to external MCP providers through a secure gateway with OAuth-based authentication.
5 properties 3 required
llm_training__agents__tools__standalone__schemas__WebSearch
object
Configuration for the web search tool: real-time information retrieval from web sources.
4 properties 2 required
CreateFeedbackRequest
object
4 properties 2 required
PricingEstimateServerlessInferenceRequestModel
object
2 properties 1 required
RunPythonConfig
object
1 property
GetMLModelHfRevision
object
2 properties 2 required
ValidateFunctionIdsResponse
object
Response model for function ID validation results.
2 properties 1 required
DeploymentProcessor
string
DeploymentType
string
AgentSchemaV2
object
18 properties 9 required
ValidationError
object
5 properties 3 required
FileSearchConfig
object
4 properties 1 required
AgentStatus
string
Available statuses for an agent.
AgentUpdateStatusRequest
object
1 property 1 required
AgentUpdateStatusResponseV2
object
6 properties 6 required
llm_training__agents__tools__standalone__schemas__FileSearch
object
Configuration for the file search tool: semantic search and retrieval across the agent's vector databases.
5 properties 3 required
DeleteIndexResponse
object
DeleteIndexResponse represents the response model for deleting an index. Attributes: indexname (str): the index name that has been deleted. status (str): respo…
2 properties 1 required
GetMLModelInfoResponse
object
3 properties 3 required
TagStrategy
string
BillingType
string
NewDeploymentRequest
object
6 properties 5 required
FeedbackResponse
object
9 properties 6 required
GetDeploymentsResponse
object
1 property 1 required
CreateCaseForm
object
5 properties 1 required
AcceleratorType
string
PythonFunctionResponse
object
Response model for a Python function, including code and user info.
9 properties 9 required
Body_upload_feedback_route_v1_flow_feedback_upload_post
object
5 properties 3 required
UpdateFeedbackRequest
object
4 properties 2 required
PopulateIndexJobStatusResponse
object
2 properties 2 required
InfluentialFinetuningDataResponse
object
3 properties 3 required
SinceUpdateMetrics
object
3 properties 3 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

seekr-internal-api-openapi.yml Raw ↑

Other APIs Seekr publishes across the network.

Seekr Documentation MCP Server
Seekr Agents API
Seekr Agents v1 - legacy API
Seekr Alignment API
Seekr Batches API
Seekr Data jobs API
Seekr Deployments API
Seekr Engines API
Seekr Evals API
Seekr Explainability API
Seekr Feedback API
Seekr Files API
Where this information came from

This is an independent, third-party profile of Seekr Internal API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

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Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

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