updated changes

fern/docs/pages/llm-evaluation/prompts/automate-prompt-management.mdx

@@ -102,7 +102,13 @@ await prompt.push({ text: "You are a helpful assistant called {name}." });
 
 <Tab title="curL" language="curl">
 
-<EndpointRequestSnippet endpoint="POST /v1/prompts" />
+For **message** prompts:
+
+<EndpointRequestSnippet endpoint="POST /v1/prompts" example="List-Prompt" />
+
+For **text** prompts:
+
+<EndpointRequestSnippet endpoint="POST /v1/prompts" example="Text-Prompt" />
 
 </Tab>
 
@@ -176,7 +182,13 @@ await prompt.update({
 
 <Tab title="curL" language="curl">
 
-<EndpointRequestSnippet endpoint="PUT /v1/prompts/{alias}/versions/{version}" />
+For **message** prompts:
+
+<EndpointRequestSnippet endpoint="PUT /v1/prompts/{alias}/versions/{version}" example="List-Prompt" />
+
+For **text** prompts:
+
+<EndpointRequestSnippet endpoint="PUT /v1/prompts/{alias}/versions/{version}" example="Text-Prompt" />
 
 </Tab>
 
@@ -262,13 +274,56 @@ prompt.update(
 
 <Tab title="TypeScript" language="typescript">
 
-TODO
+```typescript maxLines={0}
+import { Prompt } from "deepeval-ts";
+
+const responseSchema = {
+  name: "ResponseSchema",
+  fields: {
+    answer: "string",
+    confidence: "float",
+  }
+}
+
+const prompt = new Prompt({ alias: "YOUR-PROMPT-ALIAS" });
+
+await prompt.push({
+  version: "00.00.01",
+  messagesTemplate: [
+    new PromptMessage({ role: "system", content: "You are a helpful assistant." }),
+  ],
+  modelSettings: {
+    provider: "OPEN_AI",
+    name: "gpt-4o",
+    temperature: 0.7,
+    maxTokens: 1000,
+    topP: 0.9,
+    frequencyPenalty: 0.1,
+    presencePenalty: 0.1,
+    stopSequence: ["END"],
+    reasoningEffort: "MINIMAL",
+    verbosity: "LOW",
+  },
+  outputType: OutputType.SCHEMA,
+  outputSchema: responseSchema,
+});
+
+await prompt.update({
+  version: "latest",
+  modelSettings: {
+    provider: "OPEN_AI",
+    name: "gpt-4o",
+    temperature: 0.8,
+    maxTokens: 2000,
+  }
+});
+```
 
 </Tab>
 
 <Tab title="curL" language="curl">
 
-TODO
+<EndpointRequestSnippet endpoint="PUT /v1/prompts/{alias}/versions/{version}" example="Model-Settings" />
 
 </Tab>
 

fern/docs/pages/llm-evaluation/prompts/version-prompts.mdx

@@ -132,7 +132,7 @@ from deepeval.prompt.api import PromptMessage
 prompt = Prompt(alias="YOUR-PROMPT-ALIAS")
 prompt.push(messages=[PromptMessage(role="...", content="...")])
 
-````
+```
 </Tab>
 
 <Tab title="Text" language="python">
@@ -141,7 +141,7 @@ from deepeval.prompt import Prompt
 
 prompt = Prompt(alias="YOUR-PROMPT-ALIAS")
 prompt.push(text="...")
-````
+```
 
 </Tab>
 

fern/openapi.yaml

@@ -903,20 +903,24 @@ paths:
                 text: "Updated hello, {{name}}!"
                 interpolationType: "FSTRING"
                 outputType: "TEXT"
-                modelSettings:
-                  provider: "OPEN_AI"
-                  name: "gpt-4o"
-                  temperature: 0.7
               List-Prompt:
                 messages:
                   - role: user
                     content: "What is the updated weather like in {{city}}?"
                 interpolationType: "FSTRING"
                 outputType: "TEXT"
+              Model-Settings:
+                text: "Updated hello, {{name}}!"
+                interpolationType: "FSTRING"
+                outputType: "TEXT"
                 modelSettings:
                   provider: "OPEN_AI"
                   name: "gpt-4o"
                   temperature: 0.7
+                  maxTokens: 1000
+                  topP: 0.9
+                  frequencyPenalty: 0.1
+                  presencePenalty: 0.1
       responses:
         "200":
           description: ""
@@ -1006,20 +1010,24 @@ paths:
                 text: "Updated hello, {{name}}!"
                 interpolationType: "FSTRING"
                 outputType: "TEXT"
-                modelSettings:
-                  provider: "OPEN_AI"
-                  name: "gpt-4o"
-                  temperature: 0.7
               List-Prompt:
                 messages:
                   - role: user
                     content: "What is the updated weather like in {{city}}?"
                 interpolationType: "FSTRING"
                 outputType: "TEXT"
+              Model-Settings:
+                text: "Updated hello, {{name}}!"
+                interpolationType: "FSTRING"
+                outputType: "TEXT"
                 modelSettings:
                   provider: "OPEN_AI"
                   name: "gpt-4o"
                   temperature: 0.7
+                  maxTokens: 1000
+                  topP: 0.9
+                  frequencyPenalty: 0.1
+                  presencePenalty: 0.1
       responses:
         "200":
           description: ""
@@ -3983,6 +3991,7 @@ components:
           description: This is the array of fields that define the output schema structure.
       required:
         - fields
+        - name
 
     OutputSchemaField:
       type: object
@@ -4007,6 +4016,7 @@ components:
       required:
         - id
         - type
+        - name
 
     UpdatePromptRequest:
       type: object