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5 Commits

Author SHA1 Message Date
Jin Hai
405275935f Go: fix unused check (#17922) 
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
 2026-08-06 14:45:10 +08:00
jay77721
2e2d12d262 feat: add batch_size to all embedding model configs (#17877) 
## Summary

Add a `batch_size` field to every embedding model entry in
`conf/models/*.json`. The field represents the maximum number of text
inputs that can be submitted to the embedding API in a single request.

**75 embedding models across 30 config files** now carry a `batch_size`.
Values were verified against each provider's official documentation (see
the verification table at `Desktop/embedding_models_verified.md`).

## Distribution

| batch_size | # models | Provider / Model |
|---|---|---|
| 1 | 2 | AWS Bedrock `amazon.titan-embed-text-v1/v2:0` — Bedrock
`invoke` accepts a single input per call |
| 10 | 3 | Aliyun `text-embedding-v3/v4`, Volcengine
`doubao-embedding-vision-251215` |
| 16 | 5 | BaiChuan `Baichuan-Text-Embedding`, Baidu Qianfan
`embedding-v1`, Mistral `mistral-embed`, Replicate (x2) |
| 32 | 10 | NVIDIA NIM (x3), SILICONFLOW (x2), PPIO (x3), GiteeAI
`bge-m3`, HuaweiCloud `bge-m3` |
| 50 | 4 | Tencent Hunyuan `kinfra` embeddings (x4) — `InputList.N` max
50 |
| 96 | 8 | Cohere embed-v3/v4 (x5), Bedrock Cohere (x3) |
| 100 | 3 | Google Gemini `text-embedding-004`, Upstage (x2) |
| 512 | 5 | Zhipu GLM `embedding-2/3` (x2), Perplexity `pplx-embed`
(x2), Astraflow `text-embedding-3-large` |
| 1000 | 9 | Voyage AI (x9) — API reference max |
| 1024 | 1 | DeepInfra `Qwen/Qwen3-Embedding-4B` |
| 2048 | 15 | OpenAI (x3) + OpenAI-API-compatible proxies (CometAPI,
n1n, Jiekou.AI, GreenPT, TogetherAI, NovitaAI) — OpenAI contract limit |
| 16384 | 10 | Jina (x8), 302.AI, GiteeAI `jina-clip-v2` — no documented
Jina batch limit, safe high cap |

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-08-06 10:47:38 +08:00
jay77721
47ecc2a231 feat: populate content_length and max_output from official docs (#17836) 
## Summary

- Verify and populate `content_length` (context window) and `max_output`
(max generation tokens) for all **478 chat/vision models** across **47
provider configs**
- Data sourced from **official API documentation** via 12 parallel
agents + targeted web verification
- Update Go test assertions to match verified values

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-08-05 15:22:57 +08:00
Haruko386
c575164695 Go: add tools for a lot of providers (#17341) 
### Summary

As title

---------

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
 2026-07-24 19:33:38 +08:00
sxxtony
63db30f0d9 Go: implement provider: n1n.ai (#15010) 
### What problem does this PR solve?

Add a Go driver for **n1n.ai** (https://docs.n1n.ai), one of the
unchecked providers on the umbrella tracking issue #14736. n1n.ai is an
OpenAI-compatible aggregator hosting a 450+ model catalog (GPT, Claude,
Gemini, DeepSeek, Kimi, Qwen, embedding + reranker families) under
`https://api.n1n.ai/v1`.

Until this PR, a tenant who configured `n1n` as a model provider in the
Go layer fell through to the default branch of
`internal/entity/models/factory.go` and got the dummy driver.

---------

Co-authored-by: sxxtony <sxxtony@users.noreply.github.com>
 2026-05-21 10:13:15 +08:00