dinguerie

packages/tasks-gen/snippets-fixtures/conversational-llm-non-stream/0.huggingface.js.hf-inference.js

@@ -11,7 +11,7 @@ const chatCompletion = await client.chatCompletion({
 		}
 	],
 	provider: "hf-inference",
-	max_tokens: 500,
+	max_tokens: 500
 });
 
-console.log(chatCompletion.choices[0].message);
+console.log(chatCompletion.choices[0].message);

packages/tasks-gen/snippets-fixtures/conversational-llm-non-stream/0.huggingface.js.together.js

@@ -11,7 +11,7 @@ const chatCompletion = await client.chatCompletion({
 		}
 	],
 	provider: "together",
-	max_tokens: 500,
+	max_tokens: 500
 });
 
-console.log(chatCompletion.choices[0].message);
+console.log(chatCompletion.choices[0].message);

packages/tasks-gen/snippets-fixtures/conversational-llm-non-stream/0.huggingface_hub.hf-inference.py

@@ -15,7 +15,7 @@
 completion = client.chat.completions.create(
     model="meta-llama/Llama-3.1-8B-Instruct", 
 	messages=messages, 
-	max_tokens=500,
+	max_tokens=500
 )
 
 print(completion.choices[0].message)

packages/tasks-gen/snippets-fixtures/conversational-llm-non-stream/0.huggingface_hub.together.py

@@ -15,7 +15,7 @@
 completion = client.chat.completions.create(
     model="meta-llama/Llama-3.1-8B-Instruct", 
 	messages=messages, 
-	max_tokens=500,
+	max_tokens=500
 )
 
 print(completion.choices[0].message)

packages/tasks-gen/snippets-fixtures/conversational-llm-non-stream/1.openai.hf-inference.js

@@ -1,19 +1,19 @@
 import { OpenAI } from "openai";
 
 const client = new OpenAI({
-	baseURL: "https://router.huggingface.co/hf-inference/v1",
-	apiKey: "api_token",
+	baseURL: "https://router.huggingface.co/hf-inference",
+	apiKey: "api_token"
 });
 
 const chatCompletion = await client.chat.completions.create({
 	model: "meta-llama/Llama-3.1-8B-Instruct",
 	messages: [
 		{
 			role: "user",
-			content: "What is the capital of France?",
-		},
+			content: "What is the capital of France?"
+		}
 	],
-	max_tokens: 500,
+	max_tokens: 500
 });
 
-console.log(chatCompletion.choices[0].message);
+console.log(chatCompletion.choices[0].message);

packages/tasks-gen/snippets-fixtures/conversational-llm-non-stream/1.openai.hf-inference.py

@@ -1,7 +1,7 @@
 from openai import OpenAI
 
 client = OpenAI(
-	base_url="https://router.huggingface.co/hf-inference/v1",
+	base_url="https://router.huggingface.co/hf-inference",
 	api_key="api_token"
 )
 
@@ -15,7 +15,7 @@
 completion = client.chat.completions.create(
 	model="meta-llama/Llama-3.1-8B-Instruct", 
 	messages=messages, 
-	max_tokens=500,
+	max_tokens=500
 )
 
 print(completion.choices[0].message)

packages/tasks-gen/snippets-fixtures/conversational-llm-non-stream/1.openai.together.js

@@ -13,7 +13,7 @@ const chatCompletion = await client.chat.completions.create({
 			content: "What is the capital of France?"
 		}
 	],
-	max_tokens: 500,
+	max_tokens: 500
 });
 
-console.log(chatCompletion.choices[0].message);
+console.log(chatCompletion.choices[0].message);

packages/tasks-gen/snippets-fixtures/conversational-llm-non-stream/1.openai.together.py

@@ -15,7 +15,7 @@
 completion = client.chat.completions.create(
 	model="meta-llama/Llama-3.1-8B-Instruct", 
 	messages=messages, 
-	max_tokens=500,
+	max_tokens=500
 )
 
 print(completion.choices[0].message)

packages/tasks-gen/snippets-fixtures/conversational-llm-stream/0.huggingface.js.hf-inference.js

@@ -13,7 +13,7 @@ const stream = client.chatCompletionStream({
 		}
 	],
 	provider: "hf-inference",
-	max_tokens: 500,
+	max_tokens: 500
 });
 
 for await (const chunk of stream) {

packages/tasks-gen/snippets-fixtures/conversational-llm-stream/1.openai.hf-inference.js

@@ -1,8 +1,8 @@
 import { OpenAI } from "openai";
 
 const client = new OpenAI({
-	baseURL: "https://router.huggingface.co/hf-inference/v1",
-	apiKey: "api_token",
+	baseURL: "https://router.huggingface.co/hf-inference",
+	apiKey: "api_token"
 });
 
 let out = "";
@@ -12,8 +12,8 @@ const stream = await client.chat.completions.create({
 	messages: [
 		{
 			role: "user",
-			content: "What is the capital of France?",
-		},
+			content: "What is the capital of France?"
+		}
 	],
 	max_tokens: 500,
 	stream: true,
@@ -24,5 +24,5 @@ for await (const chunk of stream) {
 		const newContent = chunk.choices[0].delta.content;
 		out += newContent;
 		console.log(newContent);
-	}
-}
+	}  
+}

packages/tasks-gen/snippets-fixtures/conversational-llm-stream/1.openai.hf-inference.py

@@ -1,7 +1,7 @@
 from openai import OpenAI
 
 client = OpenAI(
-	base_url="https://router.huggingface.co/hf-inference/v1",
+	base_url="https://router.huggingface.co/hf-inference",
 	api_key="api_token"
 )
 

packages/tasks-gen/snippets-fixtures/conversational-vlm-non-stream/0.huggingface.js.hf-inference.js

@@ -22,7 +22,7 @@ const chatCompletion = await client.chatCompletion({
 		}
 	],
 	provider: "hf-inference",
-	max_tokens: 500,
+	max_tokens: 500
 });
 
-console.log(chatCompletion.choices[0].message);
+console.log(chatCompletion.choices[0].message);

packages/tasks-gen/snippets-fixtures/conversational-vlm-non-stream/0.huggingface_hub.hf-inference.py

@@ -26,7 +26,7 @@
 completion = client.chat.completions.create(
     model="meta-llama/Llama-3.2-11B-Vision-Instruct", 
 	messages=messages, 
-	max_tokens=500,
+	max_tokens=500
 )
 
 print(completion.choices[0].message)

packages/tasks-gen/snippets-fixtures/conversational-vlm-non-stream/1.openai.hf-inference.js

@@ -1,8 +1,8 @@
 import { OpenAI } from "openai";
 
 const client = new OpenAI({
-	baseURL: "https://router.huggingface.co/hf-inference/v1",
-	apiKey: "api_token",
+	baseURL: "https://router.huggingface.co/hf-inference",
+	apiKey: "api_token"
 });
 
 const chatCompletion = await client.chat.completions.create({
@@ -13,18 +13,18 @@ const chatCompletion = await client.chat.completions.create({
 			content: [
 				{
 					type: "text",
-					text: "Describe this image in one sentence.",
+					text: "Describe this image in one sentence."
 				},
 				{
 					type: "image_url",
 					image_url: {
-						url: "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg",
-					},
-				},
-			],
-		},
+						url: "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
+					}
+				}
+			]
+		}
 	],
-	max_tokens: 500,
+	max_tokens: 500
 });
 
-console.log(chatCompletion.choices[0].message);
+console.log(chatCompletion.choices[0].message);

packages/tasks-gen/snippets-fixtures/conversational-vlm-non-stream/1.openai.hf-inference.py

@@ -1,7 +1,7 @@
 from openai import OpenAI
 
 client = OpenAI(
-	base_url="https://router.huggingface.co/hf-inference/v1",
+	base_url="https://router.huggingface.co/hf-inference",
 	api_key="api_token"
 )
 
@@ -26,7 +26,7 @@
 completion = client.chat.completions.create(
 	model="meta-llama/Llama-3.2-11B-Vision-Instruct", 
 	messages=messages, 
-	max_tokens=500,
+	max_tokens=500
 )
 
 print(completion.choices[0].message)

packages/tasks-gen/snippets-fixtures/conversational-vlm-stream/0.huggingface.js.hf-inference.js

@@ -24,7 +24,7 @@ const stream = client.chatCompletionStream({
 		}
 	],
 	provider: "hf-inference",
-	max_tokens: 500,
+	max_tokens: 500
 });
 
 for await (const chunk of stream) {

packages/tasks-gen/snippets-fixtures/conversational-vlm-stream/1.openai.hf-inference.js

@@ -1,8 +1,8 @@
 import { OpenAI } from "openai";
 
 const client = new OpenAI({
-	baseURL: "https://router.huggingface.co/hf-inference/v1",
-	apiKey: "api_token",
+	baseURL: "https://router.huggingface.co/hf-inference",
+	apiKey: "api_token"
 });
 
 let out = "";
@@ -15,16 +15,16 @@ const stream = await client.chat.completions.create({
 			content: [
 				{
 					type: "text",
-					text: "Describe this image in one sentence.",
+					text: "Describe this image in one sentence."
 				},
 				{
 					type: "image_url",
 					image_url: {
-						url: "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg",
-					},
-				},
-			],
-		},
+						url: "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
+					}
+				}
+			]
+		}
 	],
 	max_tokens: 500,
 	stream: true,
@@ -35,5 +35,5 @@ for await (const chunk of stream) {
 		const newContent = chunk.choices[0].delta.content;
 		out += newContent;
 		console.log(newContent);
-	}
-}
+	}  
+}

packages/tasks-gen/snippets-fixtures/conversational-vlm-stream/1.openai.hf-inference.py

@@ -1,7 +1,7 @@
 from openai import OpenAI
 
 client = OpenAI(
-	base_url="https://router.huggingface.co/hf-inference/v1",
+	base_url="https://router.huggingface.co/hf-inference",
 	api_key="api_token"
 )