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Author: LittleMouse

docs/Chat_Completions.md

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+# Chat Completions
+The Chat Completions API endpoint will generate a model response from a list of messages comprising a conversation.
+
+# Create chat completion
+`post https://api.openai.com/v1/chat/completions`
+
+```python
+from openai import OpenAI
+openai = OpenAI(
+    api_key="sk-",
+    base_url="http://192.168.20.186:8000/v1"
+)
+
+completion = client.chat.completions.create(
+  model="qwen2.5-0.5b-p256-ax630c",
+  messages=[
+    {"role": "developer", "content": "You are a helpful assistant."},
+    {"role": "user", "content": "Hello!"}
+  ]
+)
+
+print(completion.choices[0].message)
+```
+
+## Request body
+
+### messages `array` <span style="color: red;">Required</span>
+A list of messages comprising the conversation so far. Depending on the model you use, different message types (modalities) are supported, like text, images, and audio.
+
+### model `string` <span style="color: red;">Required</span>
+Model ID used to generate the response, like `qwen2.5-0.5b-p256-ax630c` or `deepseek-r1-1.5b-p256-ax630c`. StackFlow offers a wide range of models with different capabilities, performance characteristics. Refer to the model Docs to browse and compare available models.
+
+### audio
+`Audio output is not currently supported`
+
+### function_call
+`function_call is not currently supported`
+
+### max_tokens `integer` Optional
+The maximum number of tokens that can be generated in the chat completion.
+
+### response_format `object` Optional
+An object specifying the format that the model must output.
+`Currently only supported format is json_object.`

docs/Models.md

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+# Models
+List and describe the various models available in the API. You can refer to the Models documentation to understand what models are available and the differences between them.
+
+# List models
+`get http://192.168.20.186:8000/v1/models`
+
+Lists the currently available models, and provides basic information about each one such as the owner and availability.
+
+```python
+from openai import OpenAI
+openai = OpenAI(
+    api_key="sk-",
+    base_url="http://192.168.20.186:8000/v1"
+)
+
+client.models.list()
+```
+
+## Returns
+A list of model objects.

docs/Speech_to_text.md

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+# Audio
+Learn how to turn audio into text or text into audio.
+
+# Create speech
+post https://192.168.20.186:8000/v1/audio/speech
+
+Generates audio from the input text.
+
+```python
+from pathlib import Path
+from openai import OpenAI
+
+openai = OpenAI(
+    api_key="sk-",
+    base_url="http://192.168.20.186:8000/v1"
+)
+
+speech_file_path = Path(__file__).parent / "speech.mp3"
+with openai.audio.speech.with_streaming_response.create(
+  model="gpt-4o-mini-tts",
+  voice="alloy",
+  input="The quick brown fox jumped over the lazy dog."
+) as response:
+  response.stream_to_file(speech_file_path)
+```
+
+## Request body
+
+### input `string` <span style="color: red;">Required</span>
+The text to generate audio for. The maximum length is `1024` characters.
+
+### model `string` <span style="color: red;">Required</span>
+One of the available TTS models: `melotts-zh-cn`, `melotts-en-us`.
+
+### voice 
+`Voice selection is not currently supported`
+
+### response_format `string` Optional Defaults to mp3
+The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`, `wav`, and `pcm`.
+
+### speed `number` Optional Defaults to 1
+The speed of the generated audio. Select a value from `0.25` to `2.0`. `1.0` is the default.
+
+## Returns
+The audio file content.

docs/Text_to_speech.md

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+# Create transcription
+`post http://192.168.20.186:8000/v1/audio/transcriptions`
+Transcribes audio into the input language.
+
+```python
+from openai import OpenAI
+client = OpenAI(
+    api_key="sk-",
+    base_url="http://192.168.20.186:8000/v1"
+)
+
+audio_file = open("speech.mp3", "rb")
+transcript = client.audio.transcriptions.create(
+  model="whisper-tiny",
+  language="en",
+  file=audio_file
+)
+```
+
+## Request body
+
+### file file Required
+The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+
+### model `string` <span style="color: red;">Required</span>
+ID of the model to use. The options are `whisper-tiny`, `whisper-base`, and `whisper-small`.
+
+### language `string` <span style="color: red;">Required</span>
+The language of the input audio. Supplying the input language in ISO-639-1 (e.g. en) format will improve accuracy and latency.
+
+### response_format string Optional
+Defaults to json
+`Currently only supported format is json.`