### Install Python Client

Source: https://synexa.ai/docs/quickstart

Install the Synexa Python client using pip. This is the first step to using Synexa AI in your Python applications.

```bash
pip install synexa
```

--------------------------------

### Install Node.js Client

Source: https://synexa.ai/docs/quickstart

Install the Synexa Node.js client using npm. This command is necessary to integrate Synexa AI into your JavaScript projects.

```bash
npm install synexa
```

--------------------------------

### Generate Video from Prompt (Node.js)

Source: https://synexa.ai/docs/guides/generating-videos

This Node.js example demonstrates generating a video from a text prompt. It requires the synexa package and an API token for authentication.

```javascript
import Synexa from 'synexa';
import fs from 'fs';

const synexa = new Synexa({
  auth: process.env.SYNEXA_API_TOKEN
});

// Generate a video from a text prompt
const [output] = await synexa.run("tencent/hunyuan-video", {
  input: {
    prompt: "A stylish woman walks down a Tokyo street"
  }
});

// Get the video URL or download it
if (output instanceof FileOutput) {
  const videoUrl = output.url();
  const videoData = await output.blob();
}
```

--------------------------------

### Generate Video with Advanced Options (Node.js)

Source: https://synexa.ai/docs/guides/generating-videos

This Node.js example shows how to configure video generation with advanced settings, including prompt, FPS, dimensions, and inference parameters.

```javascript
// Node.js example with advanced options
const [output] = await synexa.run("tencent/hunyuan-video", {
  input: {
    prompt: "A cat walks on the grass, realistic style",
    fps: 24,
    width: 864,
    height: 480,
    infer_steps: 50,
    video_length: 129,
    embedded_guidance_scale: 6
  }
});
```

--------------------------------

### Generate Video from Image (Python)

Source: https://synexa.ai/docs/guides/generating-videos

Use this snippet to generate a video from a simple text prompt using the Synexa Python SDK. Ensure the synexa library is installed and imported.

```python
import synexa

# Generate a video from an image
output = synexa.run(
    "tencent/hunyuan-video",
    input={
        "prompt": "A stylish woman walks down a Tokyo street"
    }
)

# Save the generated video
with open('output.mp4', 'wb') as f:
    f.write(output[0].read())
```

--------------------------------

### Generate Image with Python

Source: https://synexa.ai/docs/quickstart

Make your first API call using the Python client to generate an image. This example uses the 'black-forest-labs/flux-schnell' model and saves the output.

```python
import synexa

# Run the model
output = synexa.run(
    "black-forest-labs/flux-schnell",
    input={"prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic"}
)

# Save the generated image
for i, img in enumerate(output):
    with open(f'output_{i}.webp', 'wb') as f:
        f.write(img.read())
```

--------------------------------

### Generate Image with Node.js

Source: https://synexa.ai/docs/quickstart

Make your first API call using the Node.js client to generate an image. This example uses the 'black-forest-labs/flux-schnell' model and handles the output.

```javascript
// Run the model and get the output
const [output] = await synexa.run("black-forest-labs/flux-schnell", {
  input: {
    prompt: "An astronaut riding a rainbow unicorn, cinematic, dramatic"
  }
});

// Handle the output
if (output instanceof FileOutput) {
  console.log(output.url()); // Get the URL string
  const blob = await output.blob(); // Get the file data
}
```

--------------------------------

### Basic Speech to Text Conversion (Python)

Source: https://synexa.ai/docs/guides/speech-to-text

Use this snippet for a simple conversion of a local audio file to text using the Synexa AI API in Python. Ensure the 'synexa' library is installed.

```python
import synexa

# Convert speech to text
output = synexa.run(
    "openai/whisper",
    input={
        "audio": "path/to/audio.wav"  # Local audio file
    }
)

# Get the transcription
transcript = output[0]["text"]
print(transcript)
```

--------------------------------

### Control LLM Behavior with System Message (Python)

Source: https://synexa.ai/docs/guides/using-llms

Use a system message to guide the AI's persona and response style. Requires the synexa library.

```python
# Python example with system message
output = synexa.run(
    "meta/meta-llama-3-8b-instruct",
    input={
        "system": "You are a helpful AI assistant that speaks like Shakespeare",
        "prompt": "Tell me about artificial intelligence",
        "max_tokens": 200
    }
)
```

--------------------------------

### Control LLM Behavior with System Message (Node.js)

Source: https://synexa.ai/docs/guides/using-llms

Use a system message to guide the AI's persona and response style. Requires the synexa library and API token.

```javascript
// Node.js example with system message
const [output] = await synexa.run("meta/meta-llama-3-8b-instruct", {
  input: {
    system: "You are a helpful AI assistant that speaks like Shakespeare",
    prompt: "Tell me about artificial intelligence",
    max_tokens: 200
  }
});
```

--------------------------------

### Initialize Python Client with API Key

Source: https://synexa.ai/docs/quickstart

Set up the Synexa Python client by initializing it with your API key. You can set the key as an environment variable or pass it directly during initialization.

```python
import synexa

# Option 1: Environment variable
# export SYNEXA_API_KEY=your-api-key

# Option 2: Direct initialization
client = synexa.Synexa(api_key="your-api-key")
```

--------------------------------

### Initialize Node.js Client

Source: https://synexa.ai/docs/quickstart

Initialize the Synexa Node.js client with your API token. The token is typically provided via an environment variable for security.

```javascript
import Synexa from 'synexa';

const synexa = new Synexa.default({
  auth: process.env.SYNEXA_API_TOKEN // Your Synexa API token
});
```

--------------------------------

### Basic Speech to Text Conversion (Node.js)

Source: https://synexa.ai/docs/guides/speech-to-text

Convert a local audio file to text using the Synexa AI API in Node.js. Requires the 'synexa' package and an API token set in the environment.

```javascript
import Synexa from 'synexa';
import fs from 'fs';

const synexa = new Synexa.default({
  auth: process.env.SYNEXA_API_TOKEN
});

// Convert speech to text
const audioBuffer = fs.readFileSync('path/to/audio.wav');
const [output] = await synexa.run("openai/whisper", {
  input: {
    audio: audioBuffer
  }
});

// Get the transcription
console.log(output.text);
```

--------------------------------

### Generate Image with Python

Source: https://synexa.ai/docs/guides/generating-images

Use the Synexa Python client to generate an image from a text prompt and save it locally.

```python
import synexa

# Generate an image
output = synexa.run(
    "black-forest-labs/flux-schnell",
    input={
        "prompt": "a cute puppy in the style of pixar animation"
    }
)

# Save the generated image
with open('puppy.webp', 'wb') as f:
    f.write(output[0].read())

```

--------------------------------

### Customize LLM Text Generation (Python)

Source: https://synexa.ai/docs/guides/using-llms

Generate text with advanced parameters like top_k, temperature, and stop sequences. Requires the synexa library.

```python
# Python example with advanced options
output = synexa.run(
    "meta/meta-llama-3-8b-instruct",
    input={
        "top_k": 0,
        "top_p": 0.95,
        "prompt": "Johnny has 8 billion parameters. His friend Tommy has 70 billion parameters. What does this mean when it comes to speed?",
        "max_tokens": 512,
        "temperature": 0.7,
        "system_prompt": "You are a helpful assistant",
        "length_penalty": 1,
        "max_new_tokens": 512,
        "stop_sequences": "<|end_of_text|>,<|eot_id|>",
        "prompt_template": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
        "presence_penalty": 0,
        "log_performance_metrics": False
    }
)
```

--------------------------------

### Generate Video with Advanced Options (Python)

Source: https://synexa.ai/docs/guides/generating-videos

Customize video generation using advanced parameters like FPS, resolution, inference steps, and video length with this Python snippet.

```python
# Python example with advanced options
output = synexa.run(
    "tencent/hunyuan-video",
    input={
        "prompt": "A cat walks on the grass, realistic style",
        "fps": 24,
        "width": 864,
        "height": 480,
        "infer_steps": 50,
        "video_length": 129,
        "embedded_guidance_scale": 6
    }
)
```

--------------------------------

### Generate Image with Node.js

Source: https://synexa.ai/docs/guides/generating-images

Use the Synexa Node.js client to generate an image, retrieve its URL, or download its data.

```javascript
import Synexa from 'synexa';

const synexa = new Synexa({
  auth: process.env.SYNEXA_API_TOKEN
});

// Generate an image
const [output] = await synexa.run("black-forest-labs/flux-schnell", {
  input: {
    prompt: "a cute puppy in the style of pixar animation"
  }
});

// Get the image URL or download it
if (output instanceof FileOutput) {
  const imageUrl = output.url();
  const imageData = await output.blob();
}

```

--------------------------------

### Handle LLM API Errors (Python)

Source: https://synexa.ai/docs/guides/using-llms

Implement try-except blocks to gracefully handle potential exceptions during text generation. Requires the synexa library.

```python
# Python error handling
try:
    output = synexa.run(
        "meta/meta-llama-3-8b-instruct",
        input={"prompt": "Tell me a joke"}
    )
except Exception as e:
    print(f"Error generating text: {e}")
```

--------------------------------

### Generate Text with LLM (Python)

Source: https://synexa.ai/docs/guides/using-llms

Basic text generation using a specified LLM model. Requires the synexa library.

```python
import synexa

# Generate text using an LLM
output = synexa.run(
    "meta/meta-llama-3-8b-instruct",
    input={
        "prompt": "What is the meaning of life?"
    }
)

# Get the generated text
response = output[0]["text"]
print(response)
```

--------------------------------

### Customize LLM Text Generation (Node.js)

Source: https://synexa.ai/docs/guides/using-llms

Generate text with advanced parameters like top_k, temperature, and stop sequences. Requires the synexa library and API token.

```javascript
// Node.js example with advanced options
const [output] = await synexa.run("meta/meta-llama-3-8b-instruct", {
  input: {
    top_k: 0,
    top_p: 0.95,
    prompt: "Johnny has 8 billion parameters. His friend Tommy has 70 billion parameters. What does this mean when it comes to speed?",
    max_tokens: 512,
    temperature: 0.7,
    system_prompt: "You are a helpful assistant",
    length_penalty: 1,
    max_new_tokens: 512,
    stop_sequences: "<|end_of_text|>,<|eot_id|>".
    prompt_template: "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
    presence_penalty: 0,
    log_performance_metrics: false
  }
});
```

--------------------------------

### Handle LLM API Errors (Node.js)

Source: https://synexa.ai/docs/guides/using-llms

Implement try-catch blocks to gracefully handle potential exceptions during text generation. Requires the synexa library and API token.

```javascript
// Node.js error handling
try {
  const [output] = await synexa.run("meta/meta-llama-3-8b-instruct", {
    input: { prompt: "Tell me a joke" }
  });
} catch (error) {
  console.error("Error generating text:", error);
}
```

--------------------------------

### Error Handling for Video Generation (Python)

Source: https://synexa.ai/docs/guides/generating-videos

Implement robust error handling for video generation requests using a try-except block in Python to catch and report exceptions.

```python
# Python error handling
try:
    output = synexa.run(
        "tencent/hunyuan-video",
        input={
            "prompt": "A stylish woman walks down a Tokyo street"
        }
    )
except Exception as e:
    print(f"Error generating video: {e}")
```

--------------------------------

### Advanced Speech to Text Options (Python)

Source: https://synexa.ai/docs/guides/speech-to-text

Customize transcription with advanced parameters like language detection, translation, and temperature using the Synexa AI API in Python. Handles remote audio files.

```python
# Python example with advanced options
output = synexa.run(
    "openai/whisper",
    input={
        "audio": "https://replicate.delivery/mgxm/e5159b1b-508a-4be4-b892-e1eb47850bdc/OSR_uk_000_0050_8k.wav",
        "language": "auto",
        "translate": False,
        "temperature": 0,
        "transcription": "plain text",
        "suppress_tokens": "-1",
        "logprob_threshold": -1,
        "no_speech_threshold": 0.6,
        "condition_on_previous_text": True,
        "compression_ratio_threshold": 2.4,
        "temperature_increment_on_fallback": 0.2
    }
)

# Get detailed output
transcript = output[0]["text"]
timestamps = output[0]["timestamps"]
```

--------------------------------

### Generate Text with LLM (Node.js)

Source: https://synexa.ai/docs/guides/using-llms

Basic text generation using a specified LLM model. Requires the synexa library and API token.

```javascript
import Synexa from 'synexa';

const synexa = new Synexa.default({
  auth: process.env.SYNEXA_API_TOKEN
});

// Generate text using an LLM
const [output] = await synexa.run("meta/meta-llama-3-8b-instruct", {
  input: {
    prompt: "What is the meaning of life?"
  }
});

// Get the generated text
console.log(output.text);
```

--------------------------------

### Advanced Speech to Text Options (Node.js)

Source: https://synexa.ai/docs/guides/speech-to-text

Customize transcription with advanced parameters like language detection, translation, and temperature using the Synexa AI API in Node.js. Handles remote audio files.

```javascript
// Node.js example with advanced options
const [output] = await synexa.run("openai/whisper", {
  input: {
    audio: "https://replicate.delivery/mgxm/e5159b1b-508a-4be4-b892-e1eb47850bdc/OSR_uk_000_0050_8k.wav",
    language: "auto",
    translate: false,
    temperature: 0,
    transcription: "plain text",
    suppress_tokens: "-1",
    logprob_threshold: -1,
    no_speech_threshold: 0.6,
    condition_on_previous_text: true,
    compression_ratio_threshold: 2.4,
    temperature_increment_on_fallback: 0.2
  }
});

// Get detailed output
const { text, timestamps } = output;
```

--------------------------------

### Error Handling for Speech to Text (Python)

Source: https://synexa.ai/docs/guides/speech-to-text

Implement robust error handling for audio processing with the Synexa AI API in Python. Catches potential exceptions during the transcription process.

```python
# Python error handling
try:
    output = synexa.run(
        "openai/whisper",
        input={"audio": "path/to/audio.wav"}
    )
except Exception as e:
    print(f"Error processing audio: {e}")
```

--------------------------------

### Error Handling for Video Generation (Node.js)

Source: https://synexa.ai/docs/guides/generating-videos

This Node.js snippet demonstrates how to handle errors during video generation using a try-catch block, logging any encountered issues.

```javascript
// Node.js error handling
try {
  const [output] = await synexa.run("tencent/hunyuan-video", {
    input: {
      prompt: "A stylish woman walks down a Tokyo street"
    }
  });
} catch (error) {
  console.error("Error generating video:", error);
}
```

--------------------------------

### Error Handling for Speech to Text (Node.js)

Source: https://synexa.ai/docs/guides/speech-to-text

Implement robust error handling for audio processing with the Synexa AI API in Node.js. Catches potential exceptions during the transcription process.

```javascript
// Node.js error handling
try {
  const [output] = await synexa.run("openai/whisper", {
    input: { audio: "path/to/audio.wav" }
  });
} catch (error) {
  console.error("Error processing audio:", error);
}
```

--------------------------------

### Advanced Image Generation Options in Python

Source: https://synexa.ai/docs/guides/generating-images

Customize image generation in Python by specifying negative prompts and inference parameters.

```python
# Python example with advanced options
output = synexa.run(
    "black-forest-labs/flux-schnell",
    input={
        "prompt": "a cute puppy in the style of pixar animation",
        "negative_prompt": "blurry, low quality",  # What to avoid
        "num_inference_steps": 30,  # More steps = higher quality
        "guidance_scale": 7.5  # Higher = more prompt-adherent
    }
)

```

--------------------------------

### Python Image Generation Error Handling

Source: https://synexa.ai/docs/guides/generating-images

Implement try-except blocks in Python to gracefully handle errors during image generation.

```python
# Python error handling
try:
    output = synexa.run("black-forest-labs/flux-schnell", 
        input={"prompt": "a cute puppy"}
    )
except Exception as e:
    print(f"Error generating image: {e}")

```

--------------------------------

### Node.js Image Generation Error Handling

Source: https://synexa.ai/docs/guides/generating-images

Implement try-catch blocks in Node.js to gracefully handle errors during image generation.

```javascript
// Node.js error handling
try {
  const [output] = await synexa.run("black-forest-labs/flux-schnell", {
    input: { prompt: "a cute puppy" }
  });
} catch (error) {
  console.error("Error generating image:", error);
}

```

--------------------------------

### Advanced Image Generation Options in Node.js

Source: https://synexa.ai/docs/guides/generating-images

Customize image generation in Node.js by specifying negative prompts and inference parameters.

```javascript
// Node.js example with advanced options
const [output] = await synexa.run("black-forest-labs/flux-schnell", {
  input: {
    prompt: "a cute puppy in the style of pixar animation",
    negative_prompt: "blurry, low quality",
    num_inference_steps: 30,
    guidance_scale: 7.5
  }
});

```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.