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base_url : https://api.venice.ai/api/v1
api_key : YOUR_API_KEY_HERE
text_generation :
model_id : kimi-k2-5
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 }}."
temperature : 1.0
max_response_tokens : 4096
max_context_tokens : 128000
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# Prompt caching: how long Venice keeps the prompt prefix cached. "default", "extended", or "24h".
# "24h" (shipped by default) makes a long, stable system prompt cheap across a day of conversations.
prompt_cache_retention : 24h
# Top-level sampling and reasoning knobs (uncomment to override Venice's default):
# Nucleus sampling, 0.0-1.0 (an alternative to temperature).
# top_p: 0.9
# Penalize tokens by how often they have already appeared, -2.0-2.0.
# frequency_penalty: 0.0
# Penalize tokens that have appeared at all, -2.0-2.0.
# presence_penalty: 0.0
# Penalize repetition; values above 1.0 discourage repeats.
# repetition_penalty: 1.0
# Reasoning budget for models that support it: low, medium, high.
# reasoning_effort: medium
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# Append the model's reasoning below the answer as a collapsible "💭 Reasoning" block (folded by
# default). Reads a field separate from the answer text, so it works alongside
# strip_thinking_response (which only strips <think> blocks from the answer).
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# show_reasoning: true
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# Venice-specific request parameters. Only the keys present below are sent to Venice; omit a
# key to fall back to Venice's own default. Omitting a knob is NOT the same as setting it to
# `false` — `false` actively sends `false`.
venice_parameters :
# Web search: "auto" (model decides), "on" (always), or "off".
enable_web_search : "auto"
# Strip <think></think> blocks from reasoning models so the user sees only the answer.
strip_thinking_response : true
# Run in TEE-only mode instead of end-to-end encryption (works across all models).
enable_e2ee : false
# Other available knobs — uncomment to override Venice's default:
# enable_web_citations: true
# enable_web_scraping: true
# include_venice_system_prompt: false
# include_search_results_in_stream: true
# return_search_results_as_documents: true
# enable_x_search: true
# disable_thinking: true
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# Response verbosity for models that support it: low, medium, high.
# verbosity: medium
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# character_slug: public-character-id
speech_to_text :
model_id : nvidia/parakeet-tdt-0.6b-v3
text_to_speech :
# The Venice TTS model. Others include tts-qwen3-1-7b, tts-xai-v1,
# tts-elevenlabs-turbo-v2-5, tts-minimax-speech-02-hd. See the models list endpoint.
model_id : tts-kokoro
# The voice to synthesize with. Voices are model-specific: Kokoro uses af_*/am_*/bf_*/bm_*
# (e.g. af_sky, am_adam), other models have their own sets. You can also pass a cloned-voice
# handle (vv_<id>) created via Venice's voice-cloning API. An incompatible voice returns an error.
voice : af_sky
# Output audio format: mp3, opus, aac, flac, wav, or pcm. mp3 is the broadest Matrix-client fit.
response_format : mp3
# Other available knobs — uncomment to override Venice's default:
# Playback speed, 0.25–
# speed: 1.0
# A style prompt steering emotion/delivery (e.g. "Excited and energetic."). Only Qwen 3 TTS uses it.
# prompt: "Calm and warm."
# Sampling temperature, 0.0–
# temperature: 0.9
# Nucleus sampling, 0.0–
# top_p: 1.0
image_generation :
# The image-generation model. See the models list endpoint for the full set.
model_id : chroma
# The image-edit model, used when editing an existing image rather than generating a new one.
# Editing shares this same image_generation config block; only the model differs.
edit :
model_id : firered-image-edit
# Other edit knobs — uncomment to override Venice's default:
# Output format: jpeg, png, or webp. When omitted, Venice infers it (PNG at 1K, JPEG at 2K/4K).
# output_format: png
# Aspect ratio of the result: auto, 1:1, 3:2, 16:9, 21:9, 9:16, 2:3, 3:4, 4:5 (model-specific).
# aspect_ratio: auto
# Resolution tier: 1K, 2K, 4K (model-specific). Defaults to 1K.
# resolution: 1K
# Blur images classified as adult content. Defaults to true.
# safe_mode: true
# Other generation knobs — uncomment to override Venice's default. Omitting a knob is NOT the same
# as setting it: an omitted knob lets Venice apply its own default, a set value is sent verbatim.
# A description of what should NOT appear in the image.
# negative_prompt: "blurry, watermark, text"
# CFG scale, 0–
# cfg_scale: 7.5
# Number of inference steps. Model-specific; some models ignore it.
# steps: 8
# A named style to apply (e.g. "3D Model"). See Venice's image-styles reference.
# style_preset: "3D Model"
# Random seed, -999999999–
# seed: 123456789
# Blur images classified as adult content. Defaults to true.
# safe_mode: true
# Hide the Venice watermark. Venice may ignore this for certain generated content. Defaults to false.
# hide_watermark: false
# Output format: jpeg, png, or webp. webp is smallest; png is highest-quality. Defaults to webp.
# format: webp
# Image dimensions in pixels, each 1– ×
# width: 1024
# height: 1024
# Aspect ratio (used by certain models, e.g. Nano Banana): "1:1", "16:9". An alternative to width/height.
# aspect_ratio: "1:1"
# Resolution tier (used by certain models): "1K", "2K", "4K".
# resolution: "1K"
# Output quality for supported models (e.g. GPT Image 2): low, medium, high. Higher can cost more.
# quality: high
# Lora strength, 0–
# lora_strength: 50
# Embed the generation prompt into the image's EXIF metadata. Defaults to false.
# embed_exif_metadata: false
# Let the model pull the latest info from the web for the image. Model-specific; costs extra credits.
# enable_web_search: false
