diff --git a/cohere-openapi.yaml b/cohere-openapi.yaml
index 7a4a5a45..9ad3992c 100644
--- a/cohere-openapi.yaml
+++ b/cohere-openapi.yaml
@@ -5825,12 +5825,12 @@ paths:
- STRICT
- NONE
description: |
- Used to select the [safety instruction](/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
+ Used to select the [safety instruction](https://docs.cohere.com/docs/safety-modes) inserted into the prompt. Defaults to `CONTEXTUAL`.
When `NONE` is specified, the safety instruction will be omitted.
Safety modes are not yet configurable in combination with `tools`, `tool_results` and `documents` parameters.
- **Note**: This parameter is only compatible with models [Command R 08-2024](/docs/command-r#august-2024-release), [Command R+ 08-2024](/docs/command-r-plus#august-2024-release) and newer.
+ **Note**: This parameter is only compatible with models [Command R 08-2024](https://docs.cohere.com/docs/command-r#august-2024-release), [Command R+ 08-2024](https://docs.cohere.com/docs/command-r-plus#august-2024-release) and newer.
Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments
responses:
@@ -7856,7 +7856,7 @@ paths:
$ref: "#/components/responses/GatewayTimeout"
description: |
- This API is marked as "Legacy" and is no longer maintained. Follow the [migration guide](/docs/migrating-from-cogenerate-to-cochat) to start using the Chat API.
+ This API is marked as "Legacy" and is no longer maintained. Follow the [migration guide](https://docs.cohere.com/docs/migrating-from-cogenerate-to-cochat) to start using the Chat API.
Generates realistic text conditioned on a given input.
requestBody:
@@ -7882,7 +7882,7 @@ paths:
- public
description: |-
The identifier of the model to generate with. Currently available models are `command` (default), `command-nightly` (experimental), `command-light`, and `command-light-nightly` (experimental).
- Smaller, "light" models are faster, while larger models will perform better. [Custom models](/docs/training-custom-models) can also be supplied with their full ID.
+ Smaller, "light" models are faster, while larger models will perform better. [Custom models](https://docs.cohere.com/docs/training-custom-models) can also be supplied with their full ID.
writeOnly: true
num_generations:
type: integer
@@ -11533,7 +11533,7 @@ paths:
Embeddings can be used to create classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.
- If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](/docs/semantic-search).
+ If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
requestBody:
content:
application/json:
@@ -11579,7 +11579,7 @@ paths:
description: |-
Defaults to embed-english-v2.0
- The identifier of the model. Smaller "light" models are faster, while larger models will perform better. [Custom models](/docs/training-custom-models) can also be supplied with their full ID.
+ The identifier of the model. Smaller "light" models are faster, while larger models will perform better. [Custom models](https://docs.cohere.com/docs/training-custom-models) can also be supplied with their full ID.
Available models and corresponding embedding dimensions:
@@ -15127,7 +15127,7 @@ paths:
Embeddings can be used to create text classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.
- If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](/docs/semantic-search).
+ If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
requestBody:
content:
application/json:
@@ -15177,7 +15177,7 @@ paths:
description: |-
Defaults to embed-english-v2.0
- The identifier of the model. Smaller "light" models are faster, while larger models will perform better. [Custom models](/docs/training-custom-models) can also be supplied with their full ID.
+ The identifier of the model. Smaller "light" models are faster, while larger models will perform better. [Custom models](https://docs.cohere.com/docs/training-custom-models) can also be supplied with their full ID.
Available models and corresponding embedding dimensions:
@@ -18446,7 +18446,7 @@ paths:
$ref: "#/components/responses/GatewayTimeout"
description: |
- This API is marked as "Legacy" and is no longer maintained. Follow the [migration guide](/docs/migrating-from-cogenerate-to-cochat) to start using the Chat API.
+ This API is marked as "Legacy" and is no longer maintained. Follow the [migration guide](https://docs.cohere.com/docs/migrating-from-cogenerate-to-cochat) to start using the Chat API.
Generates a summary in English for a given text.
requestBody:
@@ -21952,7 +21952,7 @@ components:
schema:
x-fern-availability: beta
description: |
- A JSON schema object that the output will adhere to. There are some restrictions we have on the schema, refer to [our guide](/docs/structured-outputs-json#schema-constraints) for more information.
+ A JSON schema object that the output will adhere to. There are some restrictions we have on the schema, refer to [our guide](https://docs.cohere.com/docs/structured-outputs-json#schema-constraints) for more information.
Example (required name and age object):
```json
{
@@ -22821,7 +22821,7 @@ components:
$ref: "#/components/schemas/ResponseFormatTypeV2"
json_schema:
description: |
- A [JSON schema](https://json-schema.org/overview/what-is-jsonschema) object that the output will adhere to. There are some restrictions we have on the schema, refer to [our guide](/docs/structured-outputs-json#schema-constraints) for more information.
+ A [JSON schema](https://json-schema.org/overview/what-is-jsonschema) object that the output will adhere to. There are some restrictions we have on the schema, refer to [our guide](https://docs.cohere.com/docs/structured-outputs-json#schema-constraints) for more information.
Example (required name and age object):
```json
{
@@ -23207,9 +23207,10 @@ components:
`ALL`. The likelihood refers to the average log-likelihood of the
entire specified string, which is useful for [evaluating the
performance of your model](likelihood-eval), especially if you've
- created a [custom model](/docs/training-custom-models). Individual
- token likelihoods provide the log-likelihood of each token. The
- first token will not have a likelihood.
+ created a [custom
+ model](https://docs.cohere.com/docs/training-custom-models).
+ Individual token likelihoods provide the log-likelihood of each
+ token. The first token will not have a likelihood.
items:
type: object
x-fern-audiences: