98 lines
5.0 KiB
YAML
98 lines
5.0 KiB
YAML
base_url: https://api.venice.ai/api/v1
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api_key: YOUR_API_KEY_HERE
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text_generation:
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model_id: kimi-k2-5
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prompt: "You are a brief, but helpful bot called {{ baibot_name }} powered by the {{ baibot_model_id }} model. The date/time of this conversation's start is: {{ baibot_conversation_start_time_utc }}."
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temperature: 1.0
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max_response_tokens: 4096
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max_context_tokens: 128000
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# Venice-specific request parameters. Only the keys present below are sent to Venice; omit a
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# key to fall back to Venice's own default. Omitting a knob is NOT the same as setting it to
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# `false` — `false` actively sends `false`.
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venice_parameters:
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# Web search: "auto" (model decides), "on" (always), or "off".
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enable_web_search: "auto"
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# Strip <think></think> blocks from reasoning models so the user sees only the answer.
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strip_thinking_response: true
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# Run in TEE-only mode instead of end-to-end encryption (works across all models).
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enable_e2ee: false
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# Other available knobs — uncomment to override Venice's default:
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# enable_web_citations: true
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# enable_web_scraping: true
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# include_venice_system_prompt: false
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# include_search_results_in_stream: true
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# return_search_results_as_documents: true
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# enable_x_search: true
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# disable_thinking: true
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# character_slug: public-character-id
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speech_to_text:
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model_id: nvidia/parakeet-tdt-0.6b-v3
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text_to_speech:
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# The Venice TTS model. Others include tts-qwen3-1-7b, tts-xai-v1,
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# tts-elevenlabs-turbo-v2-5, tts-minimax-speech-02-hd. See the models list endpoint.
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model_id: tts-kokoro
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# The voice to synthesize with. Voices are model-specific: Kokoro uses af_*/am_*/bf_*/bm_*
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# (e.g. af_sky, am_adam), other models have their own sets. You can also pass a cloned-voice
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# handle (vv_<id>) created via Venice's voice-cloning API. An incompatible voice returns an error.
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voice: af_sky
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# Output audio format: mp3, opus, aac, flac, wav, or pcm. mp3 is the broadest Matrix-client fit.
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response_format: mp3
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# Other available knobs — uncomment to override Venice's default:
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# Playback speed, 0.25–4.0 (1.0 is normal).
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# speed: 1.0
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# A style prompt steering emotion/delivery (e.g. "Excited and energetic."). Only Qwen 3 TTS uses it.
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# prompt: "Calm and warm."
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# Sampling temperature, 0.0–2.0 (higher = more varied). Only Qwen 3 / Orpheus / Chatterbox HD use it.
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# temperature: 0.9
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# Nucleus sampling, 0.0–1.0. Only Qwen 3 TTS uses it.
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# top_p: 1.0
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image_generation:
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# The image-generation model. See the models list endpoint for the full set.
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model_id: chroma
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# The image-edit model, used when editing an existing image rather than generating a new one.
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# Editing shares this same image_generation config block; only the model differs.
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edit:
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model_id: firered-image-edit
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# Other edit knobs — uncomment to override Venice's default:
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# Output format: jpeg, png, or webp. When omitted, Venice infers it (PNG at 1K, JPEG at 2K/4K).
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# output_format: png
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# Aspect ratio of the result: auto, 1:1, 3:2, 16:9, 21:9, 9:16, 2:3, 3:4, 4:5 (model-specific).
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# aspect_ratio: auto
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# Resolution tier: 1K, 2K, 4K (model-specific). Defaults to 1K.
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# resolution: 1K
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# Blur images classified as adult content. Defaults to true.
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# safe_mode: true
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# Other generation knobs — uncomment to override Venice's default. Omitting a knob is NOT the same
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# as setting it: an omitted knob lets Venice apply its own default, a set value is sent verbatim.
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# A description of what should NOT appear in the image.
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# negative_prompt: "blurry, watermark, text"
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# CFG scale, 0–20. Higher values make the image adhere more closely to the prompt.
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# cfg_scale: 7.5
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# Number of inference steps. Model-specific; some models ignore it.
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# steps: 8
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# A named style to apply (e.g. "3D Model"). See Venice's image-styles reference.
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# style_preset: "3D Model"
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# Random seed, -999999999–999999999. Fix it for reproducible results; omit for a random seed.
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# seed: 123456789
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# Blur images classified as adult content. Defaults to true.
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# safe_mode: true
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# Hide the Venice watermark. Venice may ignore this for certain generated content. Defaults to false.
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# hide_watermark: false
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# Output format: jpeg, png, or webp. webp is smallest; png is highest-quality. Defaults to webp.
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# format: webp
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# Image dimensions in pixels, each 1–1280. Default 1024×1024.
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# width: 1024
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# height: 1024
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# Aspect ratio (used by certain models, e.g. Nano Banana): "1:1", "16:9". An alternative to width/height.
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# aspect_ratio: "1:1"
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# Resolution tier (used by certain models): "1K", "2K", "4K".
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# resolution: "1K"
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# Output quality for supported models (e.g. GPT Image 2): low, medium, high. Higher can cost more.
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# quality: high
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# Lora strength, 0–100. Only applies if the model uses additional Loras.
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# lora_strength: 50
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# Embed the generation prompt into the image's EXIF metadata. Defaults to false.
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# embed_exif_metadata: false
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# Let the model pull the latest info from the web for the image. Model-specific; costs extra credits.
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# enable_web_search: false
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