Commit Graph

4 Commits

Author SHA1 Message Date
Harry Cui Kepler
ffa63173e0 refactor(agents): migrate console.warn/error/info to subsystem logger (#22906)
Merged via /review-pr -> /prepare-pr -> /merge-pr.

Prepared head SHA: a806c4cb27
Co-authored-by: Kepler2024 <166882517+Kepler2024@users.noreply.github.com>
Co-authored-by: gumadeiras <5599352+gumadeiras@users.noreply.github.com>
Reviewed-by: @gumadeiras
2026-02-21 17:11:47 -05:00
Shuai-DaiDai
8316571efe fix(venice): disable streaming to prevent SDK crash (#15878)
* fix(venice): disable streaming to prevent SDK crash with usage-only chunks (#15819)

Venice.ai API returns SSE chunks containing only usage metadata without
a choices array. The SDK crashes trying to access choices[0] on these
chunks with: Cannot read properties of undefined (reading '0')

Changes:
- Disable streaming by default for all Venice models
- Apply to both static catalog and dynamically discovered models
- Users can explicitly enable streaming in config if needed

This is a workaround until the SDK handles Venice's streaming format.

Fixes #15819

* fix(venice): avoid usage streaming chunks for Venice models (openclaw#15878) thanks @Shuai-DaiDai

---------

Co-authored-by: 帅小呆1号 <shuaixiaodai1@openclaw.ai>
Co-authored-by: Peter Steinberger <steipete@gmail.com>
2026-02-14 02:23:35 +01:00
Peter Steinberger
2e3b14187b fix: stabilize venice model discovery 2026-01-25 02:43:08 +00:00
jonisjongithub
7540d1e8c1 feat: add Venice AI provider integration
Venice AI is a privacy-focused AI inference provider with support for
uncensored models and access to major proprietary models via their
anonymized proxy.

This integration adds:

- Complete model catalog with 25 models:
  - 15 private models (Llama, Qwen, DeepSeek, Venice Uncensored, etc.)
  - 10 anonymized models (Claude, GPT-5.2, Gemini, Grok, Kimi, MiniMax)
- Auto-discovery from Venice API with fallback to static catalog
- VENICE_API_KEY environment variable support
- Interactive onboarding via 'venice-api-key' auth choice
- Model selection prompt showing all available Venice models
- Provider auto-registration when API key is detected
- Comprehensive documentation covering:
  - Privacy modes (private vs anonymized)
  - All 25 models with context windows and features
  - Streaming, function calling, and vision support
  - Model selection recommendations

Privacy modes:
- Private: Fully private, no logging (open-source models)
- Anonymized: Proxied through Venice (proprietary models)

Default model: venice/llama-3.3-70b (good balance of capability + privacy)
Venice API: https://api.venice.ai/api/v1 (OpenAI-compatible)
2026-01-25 01:11:57 +00:00