GITBOOK-650: docs: fix gpt 5.2 pro desc and schema

Author: techpro-aimlapi

docs/SUMMARY.md

@@ -271,6 +271,7 @@
     * [video-v2.6-pro-image-to-video](api-references/video-models/kling-ai/video-v2.6-pro-image-to-video.md)
     * [kling o1 models](api-references/video-models/kling-ai/kling-o1-models.md)
     * [video o1 reference to video kling ai](api-references/video-models/kling-ai/video-o1-reference-to-video-kling-ai.md)
+    * [video-o1-image-to-video](api-references/video-models/kling-ai/video-o1-image-to-video.md)
   * [Krea](api-references/video-models/krea/README.md)
     * [krea-wan-14b/text-to-video](api-references/video-models/krea/krea-wan-14b-text-to-video.md)
     * [krea-wan-14b/video-to-video](api-references/video-models/krea/krea-wan-14b-video-to-video.md)

docs/api-references/text-models-llm/openai/gpt-5.2-pro.md

@@ -16,9 +16,7 @@ This documentation is valid for the following list of our models:
 
 ## Model Overview
 
-{% openapi-operation spec="gpt-5-2-pro-RESPONSES" path="/v1/responses" method="post" %}
-[OpenAPI gpt-5-2-pro-RESPONSES](https://raw.githubusercontent.com/aimlapi/api-docs/refs/heads/main/docs/api-references/text-models-llm/OpenAI/gpt-5-2-pro-RESPONSES.json)
-{% endopenapi-operation %}
+The Pro version is built for more challenging tasks and is available only through the Responses API, as it supports multi-turn interactions before generating a response.
 
 ## How to Make a Call
 
@@ -56,7 +54,21 @@ If you need a more detailed walkthrough for setting up your development environm
 
 ## API Schema
 
+<details>
+
+<summary>Chat Completions vs. Responses API</summary>
+
+**Chat Completions**\
+The _chat completions_ API is the older, chat-oriented interface where you send a list of messages (`role: user`, `role: assistant`, etc.), and the model returns a single response. It was designed specifically for conversational workflows and follows a structured chat message format. It is now considered a legacy interface.
 
+**Responses**\
+The _Responses_ API is the newer, unified interface used across OpenAI’s latest models. Instead of focusing only on chat, it supports multiple input types (text, images, audio, tools, etc.) and multiple output modalities (text, JSON, images, audio, video). It is more flexible, more consistent across models, and intended to replace chat completions entirely.
+
+</details>
+
+{% openapi-operation spec="gpt-5-2-pro-RESPONSES" path="/v1/responses" method="post" %}
+[OpenAPI gpt-5-2-pro-RESPONSES](https://raw.githubusercontent.com/aimlapi/api-docs/refs/heads/main/docs/api-references/text-models-llm/OpenAI/gpt-5-2-pro-RESPONSES.json)
+{% endopenapi-operation %}
 
 ## Code Example: Using /responses Endpoint
 

docs/api-references/video-models/kling-ai/avatar-standard.md

@@ -1,15 +1,15 @@
 # avatar-standard
 
 {% columns %}
-{% column %}
+{% column width="66.66666666666666%" %}
 {% hint style="info" %}
 This documentation is valid for the following list of our models:
 
 * `klingai/avatar-standard`
 {% endhint %}
 {% endcolumn %}
 
-{% column %}
+{% column width="33.33333333333334%" %}
 
 {% endcolumn %}
 {% endcolumns %}

docs/api-references/video-models/kling-ai/video-o1-image-to-video.md

@@ -0,0 +1,157 @@
+---
+hidden: true
+noIndex: true
+---
+
+# video-o1-image-to-video
+
+{% columns %}
+{% column width="66.66666666666666%" %}
+{% hint style="info" %}
+This documentation is valid for the following list of our models:
+
+* `klingai/video-o1-image-to-video`
+{% endhint %}
+{% endcolumn %}
+
+{% column width="33.33333333333334%" %}
+<a href="https://aimlapi.com/app/klingai/video-o1-image-to-video" class="button primary">Try in Playground</a>
+{% endcolumn %}
+{% endcolumns %}
+
+.
+
+## Setup your API Key
+
+If you don’t have an API key for the AI/ML API yet, feel free to use our [Quickstart guide](https://docs.aimlapi.com/quickstart/setting-up).
+
+## API Schemas
+
+Generating a video using this model involves sequentially calling two endpoints:
+
+* The first one is for creating and sending a video generation task to the server (returns a generation ID).
+* The second one is for requesting the generated video from the server using the generation ID received from the first endpoint.
+
+Below, you can find two corresponding API schemas and an example with both endpoint calls.
+
+### Create a video generation task and send it to the server
+
+{% openapi-operation spec="video-v2-6-pro-image-to-video" path="/v2/video/generations" method="post" %}
+[OpenAPI video-v2-6-pro-image-to-video](https://raw.githubusercontent.com/aimlapi/api-docs/refs/heads/main/docs/api-references/video-models/Kling-AI/video-v2-6-pro-image-to-video.json)
+{% endopenapi-operation %}
+
+### Retrieve the generated video from the server
+
+After sending a request for video generation, this task is added to the queue. This endpoint lets you check the status of a video generation task using its `generation_id`, obtained from the endpoint described above.\
+If the video generation task status is `complete`, the response will include the final result — with the generated video URL and additional metadata.
+
+{% openapi-operation spec="universal-video-endpoint-fetch" path="/v2/video/generations" method="get" %}
+[OpenAPI universal-video-endpoint-fetch](https://raw.githubusercontent.com/aimlapi/api-docs/refs/heads/main/docs/api-references/video-models/ByteDance/omnihuman-pair.json)
+{% endopenapi-operation %}
+
+## Code Example
+
+The code below creates a video generation task, then automatically polls the server every **15** seconds until it finally receives the video URL.
+
+{% tabs %}
+{% tab title="Python" %}
+{% code overflow="wrap" %}
+```python
+import requests
+import time
+
+# Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
+api_key = "<YOUR_AIMLAPI_KEY>"
+base_url = "https://api.aimlapi.com/v2"
+
+# Creating and sending a video generation task to the server
+def generate_video():
+    url = f"{base_url}/video/generations"
+    headers = {
+        "Authorization": f"Bearer {api_key}", 
+    }
+
+    data = {
+        "model": "klingai/video-o1-image-to-video",
+        "prompt": "Mona Lisa puts on glasses with her hands.",
+        "image_url": "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg",
+        "duration": "5",       
+    }
+ 
+    response = requests.post(url, json=data, headers=headers)
+    
+    if response.status_code >= 400:
+        print(f"Error: {response.status_code} - {response.text}")
+    else:
+        response_data = response.json()
+        return response_data
+
+# Requesting the result of the task from the server using the generation_id
+def get_video(gen_id):
+    url = f"{base_url}/video/generations"
+    params = {
+        "generation_id": gen_id,
+    }
+    
+    headers = {
+        "Authorization": f"Bearer {api_key}", 
+        "Content-Type": "application/json"
+        }
+
+    response = requests.get(url, params=params, headers=headers)
+    return response.json()
+
+
+def main():
+     # Running video generation and getting a task id
+    gen_response = generate_video()
+    gen_id = gen_response.get("id")
+    print("Generation ID:  ", gen_id)
+
+    # Trying to retrieve the video from the server every 15 sec
+    if gen_id:
+        start_time = time.time()
+
+        timeout = 1000
+        while time.time() - start_time < timeout:
+            response_data = get_video(gen_id)
+
+            if response_data is None:
+                print("Error: No response from API")
+                break
+        
+            status = response_data.get("status")
+            print("Status:", status)
+
+            if status == "waiting" or status == "active" or  status == "queued" or status == "generating":
+                print("Still waiting... Checking again in 15 seconds.")
+                time.sleep(15)
+            else:
+                print("Processing complete:/n", response_data)
+                return response_data
+   
+        print("Timeout reached. Stopping.")
+        return None     
+
+
+if __name__ == "__main__":
+    main()
+```
+{% endcode %}
+{% endtab %}
+{% endtabs %}
+
+<details>
+
+<summary>Response</summary>
+
+{% code overflow="wrap" %}
+```json5
+```
+{% endcode %}
+
+</details>
+
+**Processing time**: \~ 1 min 50 sec.
+
+**Generated video** (1180x1756, with sound):

docs/api-references/video-models/pixverse/v5-5-text-to-video.md

@@ -154,130 +154,6 @@ if __name__ == "__main__":
 {% tab title="JavaScript" %}
 {% code overflow="wrap" %}
 ```javascript
-// Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>
-const apiKey = "<YOUR_AIMLAPI_KEY>";
-const baseUrl = "https://api.aimlapi.com/v2";
-const https = require("https");
-const { URL } = require("url");
-
-// Creating and sending a video generation task to the server
-function generateVideo(callback) {
-    const data = JSON.stringify({
-        model: "pixverse/v5.5/text-to-video",
-        prompt: `
-A menacing evil dragon appears in a distance above the tallest mountain, then rushes toward the camera with its jaws open, revealing massive fangs. We see it's coming.
-`,
-        resolution: '1080p',
-        duration: 5,
-    });
-
-    const url = new URL(`${baseUrl}/generate/video/pixverse/generation`);
-    const options = {
-        method: "POST",
-        headers: {
-            "Authorization": `Bearer ${apiKey}`,
-            "Content-Type": "application/json",
-            "Content-Length": Buffer.byteLength(data)
-        }
-    };
-
-    const req = https.request(url, options, (res) => {
-        let body = "";
-        res.on("data", (chunk) => body += chunk);
-        res.on("end", () => {
-            if (res.statusCode >= 400) {
-                console.error(`Error: ${res.statusCode} - ${body}`);
-                callback(null);
-            } else {
-                const result = JSON.parse(body);
-                callback(result);
-            }
-        });
-    });
-
-    req.on("error", (err) => {
-        console.error("Request error:", err);
-        callback(null);
-    });
-
-    req.write(data);
-    req.end();
-}
-
-// Requesting the result of the task from the server using the generation_id
-function getVideo(genId, callback) {
-    const url = new URL(`${baseUrl}/generate/video/pixverse/generation`);
-    url.searchParams.append("generation_id", genId);
-
-    const options = {
-        method: "GET",
-        headers: {
-            "Authorization": `Bearer ${apiKey}`,
-            "Content-Type": "application/json"
-        }
-    };
-
-    const req = https.request(url, options, (res) => {
-        let body = "";
-        res.on("data", (chunk) => body += chunk);
-        res.on("end", () => {
-            const result = JSON.parse(body);
-            callback(result);
-        });
-    });
-
-    req.on("error", (err) => {
-        console.error("Request error:", err);
-        callback(null);
-    });
-
-    req.end();
-}
-
-// Initiates video generation and checks the status every 10 seconds until completion or timeout
-function main() {
-    generateVideo((genResponse) => {
-        if (!genResponse || !genResponse.id) {
-            console.error("No generation ID received.");
-            return;
-        }
-
-        const genId = genResponse.id;
-        console.log("Generation ID:", genId);
-
-        const timeout = 1000 * 1000; // 1000 sec
-        const interval = 10 * 1000; // 10 sec
-        const startTime = Date.now();
-
-        const checkStatus = () => {
-            if (Date.now() - startTime >= timeout) {
-                console.log("Timeout reached. Stopping.");
-                return;
-            }
-
-            getVideo(genId, (responseData) => {
-                if (!responseData) {
-                    console.error("Error: No response from API");
-                    return;
-                }
-
-                const status = responseData.status;
-                console.log("Status:", status);
-
-                if (["waiting", "active", "queued", "generating"].includes(status)) {
-                    console.log("Still waiting... Checking again in 10 seconds.");
-                    setTimeout(checkStatus, interval);
-                } else {
-                    console.log("Processing complete:\n", responseData);
-                }
-            });
-        };
-
-        checkStatus();
-    });
-}
-
-main();
 ```
 {% endcode %}
 {% endtab %}