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docs/Endpoints/ChatCompletionAPI.md

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+---
+sidebar_position: 1
+id: chat-completion-api
+title: Chat Completion API
+tags:
+  - OpenAI API
+  - Chat Models
+---
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+## Chat Completion API
+
+**The role and the content of the prompt for each role is required.**
+
+<Tabs>
+  <TabItem value="py" label="Python" default>
+    ```python showLineNumbers
+    model = "Llama-3.1-70B-Instruct"  # choose one of available LLM (not the embedding model)
+    stream = True 
+
+    chat_response = client.chat.completions.create(
+        model=model,
+        messages=[
+            {"role": "system", "content": "You are a helpful assistant named Llama-3."},
+            {"role": "user", "content": "What is Open Telekom Cloud?"},
+        ],
+        temperature=0.1,
+        max_tokens=256,
+        stream=stream
+    )
+
+    if not stream:
+        print(chat_response.choices[0].message.content)
+    else:
+        for chunk in chat_response:
+            if chunk.choices:
+                if chunk.choices[0].delta.content is not None:
+                    print(chunk.choices[0].delta.content, end="", flush=True)
+    ```
+  </TabItem>
+
+  <TabItem value="curl" label="cURL">
+    ```bash showLineNumbers
+    curl -X POST https://llm-server.llmhub.t-systems.net/v2/chat/completions \
+    -H "Authorization: Bearer YOUR_API_KEY" \
+    -H "Content-Type: application/json" \
+    -d '{
+        "model": "Llama-3.1-70B-Instruct",
+        "messages": [
+            {"role": "system", "content": "You are a helpful assistant named Llama-3."},
+            {"role": "user", "content": "What is Open Telekom Cloud?"}
+        ],
+        "temperature": 0.1,
+        "max_tokens": 256,
+        "stream": true
+    }'
+    ```
+  </TabItem>
+</Tabs>

docs/Endpoints/CompletionAPI.md

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+---
+sidebar_position: 2
+id: completion-api
+title: Completion API
+tags:
+  - OpenAI API
+  - Text Models
+---
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+## Completion API
+
+**With this API, the raw text will be sent directly to the LLM without a special tag template.**
+
+<Tabs>
+  <TabItem value="py" label="Python" default>
+    ```python showLineNumbers
+    model = "Llama-3.1-70B-Instruct"  # choose one of the available LLMs (not the embedding model)
+    stream = True 
+
+    completion = client.completions.create(
+        model=model,
+        prompt="What is Python programming language?",
+        stream=stream,
+        temperature=0.2,
+        max_tokens=128
+    )
+
+    if not stream:
+        print(completion.choices[0].text)
+
+    else:
+        for chunk in completion:
+            if chunk.choices:
+                if chunk.choices[0].text is not None:
+                    print(chunk.choices[0].text, end="", flush=True)
+    ```
+  </TabItem>
+
+  <TabItem value="curl" label="cURL">
+    ```bash showLineNumbers
+    curl -X POST https://llm-server.llmhub.t-systems.net/v2/completions \
+    -H "Authorization: Bearer YOUR_API_KEY" \
+    -H "Content-Type: application/json" \
+    -d '{
+        "model": "Llama-3.1-70B-Instruct",
+        "prompt": "What is Python programming language?",
+        "temperature": 0.2,
+        "max_tokens": 128,
+        "stream": true
+    }'
+    ```
+  </TabItem>
+</Tabs>

docs/Endpoints/EmbeddingAPI.md

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+---
+sidebar_position: 3
+id: embedding-api
+title: Embedding API
+tags:
+  - OpenAI API
+  - Embedding Models
+---
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+## Embedding API
+
+<Tabs>
+  <TabItem value="py" label="Python" default>
+    ```python showLineNumbers
+    model = "jina-embeddings-v2-base-de"
+
+    texts = ["I am Batman and I'm rich", "I am Spiderman", "I am Ironman and I'm a billionaire", "I am Flash", "I am the president of USA"]
+    embeddings = client.embeddings.create(
+        input=texts, model=model
+    )
+
+    print('Embedding dimension: ', len(embeddings.data[0].embedding))
+    print('Number of embedding vectors: ', len(embeddings.data))
+    print('Token usage: ', embeddings.usage)
+    ```
+  </TabItem>
+
+  <TabItem value="curl" label="cURL">
+    ```bash showLineNumbers
+    curl -X POST https://llm-server.llmhub.t-systems.net/v2/embeddings \
+    -H "Authorization: Bearer YOUR_API_KEY" \
+    -H "Content-Type: application/json" \
+    -d '{
+        "model": "jina-embeddings-v2-base-de",
+        "input": ["I am Batman and I'm rich", "I am Spiderman", "I am Ironman and I'm a billionaire", "I am Flash", "I am the president of USA"]
+    }'
+    ```
+  </TabItem>
+</Tabs>

docs/Endpoints/_category_.json

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+{
+  "label": "Endpoints",
+  "position": 5,
+  "link": {
+    "type": "generated-index",
+    "description": "List of available Endpoints in AI Foundation Sevices"
+  }
+}