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API REFERENCE
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PULZE ACADEMY
List Space Models
Retrieve the list of models for the Space.
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Path Parameters
Response
The max_tokens for this model
A description of the model
Used to uniquely target models when we enable/disable them
The name of the model. Can belong to many providers
The fully qualified (namespaced) model name
The most recent data this model has been trained with
A URL to the model's page or more informatino
Whether the model is active for the app.
Store the name of the model the API requires
Extra model settings inferred from namespace
For models whose deprecation date is known (past or future), to show errors and deny service, or show warnings
Whether the model is active for the org.
The owner of the model. Sometimes, for a provider/model combination, many instances exist, trained on different data
The user (auth0_id) who created the model
When the model was added. Auto-populated in DB
The app_id that has access to this model (if only one)
A (usually 0) cost added on top of a request. Some models charge per request, not only per token
The cost of a completion token, in USD
The max_tokens for this model
This determines if the model will be available + pre-selected when users create new apps.
A description of the model
The ID of this model
True if the model is of type Chat Completions, False if it's a Text Completion model.
Whether it's fine-tuned or not
True if the model complies with GDPR
True if the model is open source
True if the model is publicly accessible to all
Model has been created and shared by Pulze
Whether it's rag-tuned or not
Test models are only used for testing and do not perform any LLM requests
The name of the model. Can belong to many providers
When the model was updated. Auto-populated in DB
The fully qualified (namespaced) model name
The org_id that has acccess to this model
The unit of billing for this model
tokens, characters The cost of a prompt token, in USD
True if the model supports function/tool call
True if the model supports json-formatted responses
True if the model supports n and best_of -- i.e, multiple responses
True if the model supports frequency_penalty and presence_penalty
True if the model supports streaming responses
True if the model supports image recognition (vision)
The most recent data this model has been trained with
A URL to the model's page or more informatino
Store the name of the model the API requires
Extra model settings inferred from namespace
For models whose deprecation date is known (past or future), to show errors and deny service, or show warnings
The owner of the model. Sometimes, for a provider/model combination, many instances exist, trained on different data
The user (auth0_id) who created the model
When the model was added. Auto-populated in DB
The app_id that has access to this model (if only one)
A (usually 0) cost added on top of a request. Some models charge per request, not only per token
The cost of a completion token, in USD
The max_tokens for this model
This determines if the model will be available + pre-selected when users create new apps.
A description of the model
The ID of this model
True if the model is of type Chat Completions, False if it's a Text Completion model.
Whether it's fine-tuned or not
True if the model complies with GDPR
True if the model is open source
True if the model is publicly accessible to all
Model has been created and shared by Pulze
Whether it's rag-tuned or not
Test models are only used for testing and do not perform any LLM requests
The name of the model. Can belong to many providers
When the model was updated. Auto-populated in DB
The fully qualified (namespaced) model name
The org_id that has acccess to this model
The unit of billing for this model
tokens, characters The cost of a prompt token, in USD
True if the model supports function/tool call
True if the model supports json-formatted responses
True if the model supports n and best_of -- i.e, multiple responses
True if the model supports frequency_penalty and presence_penalty
True if the model supports streaming responses
True if the model supports image recognition (vision)
The most recent data this model has been trained with
A URL to the model's page or more informatino
Store the name of the model the API requires
Extra model settings inferred from namespace
For models whose deprecation date is known (past or future), to show errors and deny service, or show warnings
The owner of the model. Sometimes, for a provider/model combination, many instances exist, trained on different data
The user (auth0_id) who created the model
When the model was added. Auto-populated in DB
The app_id that has access to this model (if only one)
A (usually 0) cost added on top of a request. Some models charge per request, not only per token
The cost of a completion token, in USD
The max_tokens for this model
This determines if the model will be available + pre-selected when users create new apps.
A description of the model
The ID of this model
True if the model is of type Chat Completions, False if it's a Text Completion model.
Whether it's fine-tuned or not
True if the model complies with GDPR
True if the model is open source
True if the model is publicly accessible to all
Model has been created and shared by Pulze
Whether it's rag-tuned or not
Test models are only used for testing and do not perform any LLM requests
The name of the model. Can belong to many providers
When the model was updated. Auto-populated in DB
The fully qualified (namespaced) model name
The org_id that has acccess to this model
The unit of billing for this model
tokens, characters The cost of a prompt token, in USD
True if the model supports function/tool call
True if the model supports json-formatted responses
True if the model supports n and best_of -- i.e, multiple responses
True if the model supports frequency_penalty and presence_penalty
True if the model supports streaming responses
True if the model supports image recognition (vision)
The most recent data this model has been trained with
A URL to the model's page or more informatino
Store the name of the model the API requires
Extra model settings inferred from namespace
For models whose deprecation date is known (past or future), to show errors and deny service, or show warnings
The owner of the model. Sometimes, for a provider/model combination, many instances exist, trained on different data
The ID of parent, in case it's not a base model
The ID of prompt, used for this model
The provider for the model.
The ID of parent, in case it's not a base model
The ID of prompt, used for this model
The provider for the model.
The ID of parent, in case it's not a base model
The ID of prompt, used for this model
The provider for the model.
The ID of parent, in case it's not a base model
The ID of prompt, used for this model
The provider for the model.
The user (auth0_id) who created the model
When the model was added. Auto-populated in DB
The app_id that has access to this model (if only one)
A (usually 0) cost added on top of a request. Some models charge per request, not only per token
The cost of a completion token, in USD
The max_tokens for this model
This determines if the model will be available + pre-selected when users create new apps.
A description of the model
The ID of this model
True if the model is of type Chat Completions, False if it's a Text Completion model.
Whether it's fine-tuned or not
True if the model complies with GDPR
True if the model is open source
True if the model is publicly accessible to all
Model has been created and shared by Pulze
Whether it's rag-tuned or not
Test models are only used for testing and do not perform any LLM requests
The name of the model. Can belong to many providers
When the model was updated. Auto-populated in DB
The fully qualified (namespaced) model name
The org_id that has acccess to this model
The unit of billing for this model
tokens, characters The cost of a prompt token, in USD
True if the model supports function/tool call
True if the model supports json-formatted responses
True if the model supports n and best_of -- i.e, multiple responses
True if the model supports frequency_penalty and presence_penalty
True if the model supports streaming responses
True if the model supports image recognition (vision)
The most recent data this model has been trained with
A URL to the model's page or more informatino
Store the name of the model the API requires
Extra model settings inferred from namespace
For models whose deprecation date is known (past or future), to show errors and deny service, or show warnings
The owner of the model. Sometimes, for a provider/model combination, many instances exist, trained on different data
The user (auth0_id) who created the model
When the model was added. Auto-populated in DB
The app_id that has access to this model (if only one)
A (usually 0) cost added on top of a request. Some models charge per request, not only per token
The cost of a completion token, in USD
The max_tokens for this model
This determines if the model will be available + pre-selected when users create new apps.
A description of the model
The ID of this model
True if the model is of type Chat Completions, False if it's a Text Completion model.
Whether it's fine-tuned or not
True if the model complies with GDPR
True if the model is open source
True if the model is publicly accessible to all
Model has been created and shared by Pulze
Whether it's rag-tuned or not
Test models are only used for testing and do not perform any LLM requests
The name of the model. Can belong to many providers
When the model was updated. Auto-populated in DB
The fully qualified (namespaced) model name
The org_id that has acccess to this model
The unit of billing for this model
tokens, characters The cost of a prompt token, in USD
True if the model supports function/tool call
True if the model supports json-formatted responses
True if the model supports n and best_of -- i.e, multiple responses
True if the model supports frequency_penalty and presence_penalty
True if the model supports streaming responses
True if the model supports image recognition (vision)
The most recent data this model has been trained with
A URL to the model's page or more informatino
Store the name of the model the API requires
Extra model settings inferred from namespace
For models whose deprecation date is known (past or future), to show errors and deny service, or show warnings
The owner of the model. Sometimes, for a provider/model combination, many instances exist, trained on different data
The user (auth0_id) who created the model
When the model was added. Auto-populated in DB
The app_id that has access to this model (if only one)
A (usually 0) cost added on top of a request. Some models charge per request, not only per token
The cost of a completion token, in USD
The max_tokens for this model
This determines if the model will be available + pre-selected when users create new apps.
A description of the model
The ID of this model
True if the model is of type Chat Completions, False if it's a Text Completion model.
Whether it's fine-tuned or not
True if the model complies with GDPR
True if the model is open source
True if the model is publicly accessible to all
Model has been created and shared by Pulze
Whether it's rag-tuned or not
Test models are only used for testing and do not perform any LLM requests
The name of the model. Can belong to many providers
When the model was updated. Auto-populated in DB
The fully qualified (namespaced) model name
The org_id that has acccess to this model
The unit of billing for this model
tokens, characters The cost of a prompt token, in USD
True if the model supports function/tool call
True if the model supports json-formatted responses
True if the model supports n and best_of -- i.e, multiple responses
True if the model supports frequency_penalty and presence_penalty
True if the model supports streaming responses
True if the model supports image recognition (vision)
The most recent data this model has been trained with
A URL to the model's page or more informatino
Store the name of the model the API requires
Extra model settings inferred from namespace
For models whose deprecation date is known (past or future), to show errors and deny service, or show warnings
The owner of the model. Sometimes, for a provider/model combination, many instances exist, trained on different data
The user (auth0_id) who created the model
When the model was added. Auto-populated in DB
The app_id that has access to this model (if only one)
A (usually 0) cost added on top of a request. Some models charge per request, not only per token
The cost of a completion token, in USD
The max_tokens for this model
This determines if the model will be available + pre-selected when users create new apps.
A description of the model
The ID of this model
True if the model is of type Chat Completions, False if it's a Text Completion model.
Whether it's fine-tuned or not
True if the model complies with GDPR
True if the model is open source
True if the model is publicly accessible to all
Model has been created and shared by Pulze
Whether it's rag-tuned or not
Test models are only used for testing and do not perform any LLM requests
The name of the model. Can belong to many providers
When the model was updated. Auto-populated in DB
The fully qualified (namespaced) model name
The org_id that has acccess to this model
The unit of billing for this model
tokens, characters The cost of a prompt token, in USD
True if the model supports function/tool call
True if the model supports json-formatted responses
True if the model supports n and best_of -- i.e, multiple responses
True if the model supports frequency_penalty and presence_penalty
True if the model supports streaming responses
True if the model supports image recognition (vision)
The most recent data this model has been trained with
A URL to the model's page or more informatino
Store the name of the model the API requires
Extra model settings inferred from namespace
For models whose deprecation date is known (past or future), to show errors and deny service, or show warnings
The owner of the model. Sometimes, for a provider/model combination, many instances exist, trained on different data
The ID of parent, in case it's not a base model
The ID of prompt, used for this model
The provider for the model.
The ID of parent, in case it's not a base model
The ID of prompt, used for this model
The provider for the model.
The ID of parent, in case it's not a base model
The ID of prompt, used for this model
The provider for the model.
The ID of parent, in case it's not a base model
The ID of prompt, used for this model
The provider for the model.
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