Add spec changes

Co-authored-by: Michael <[email protected]>
cohere-ai · Nov 14, 2024 · 959dd36 · 959dd36
1 parent 39fa33a
commit 959dd36
Showing 1 changed file with 15 additions and 14 deletions.
diff --git 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: |
         <Warning>
-        This API is marked as "Legacy" and is no longer maintained.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+        This API is marked as "Legacy" and is no longer maintained.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.
         </Warning>
         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: |
         <Warning>
-        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.
         </Warning>
         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: