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fix(secretaria): embeddings Gemini usam gemini-embedding-001 (768d)

Browse Source 
text-embedding-004 foi descontinuado (404 'model not found'). Migra para
gemini-embedding-001 com outputDimensionality=768 (vetores leves p/ JSON+cosseno).
Validado: embed() retorna vetor 768d via Gemini.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
VPS 4 Deploy Agent
2026-06-28 15:29:09 +02:00
parent f51785bace
commit 9ba3c78752
3 changed files with 24 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files
newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.js
+11 -3
View File
@@ -12,7 +12,7 @@ exports.hasEmbeddingKey = hasEmbeddingKey;
* RAG sem pgvector — embeddings + similaridade calculados na aplicação.
*
* Os vetores são gerados via OpenAI (text-embedding-3-small) ou Gemini
* (text-embedding-004), conforme a chave configurada no plugin, e guardados
* (gemini-embedding-001 @ 768 dims), conforme a chave configurada no plugin, e guardados
* como JSON em coluna text. A busca por similaridade (cosseno) roda em Node.
* Para a base pequena da secretária (dezenas/centenas de chunks) é rápido e
* dispensa a extensão pgvector.
@@ -104,13 +104,21 @@ async function embedOpenAI(input, apiKey) {
return null;
}
}
// gemini-embedding-001 (text-embedding-004 foi descontinuado). Default = 3072 dims;
// fixamos 768 (outputDimensionality) para vetores mais leves em JSON + cosseno.
const GEMINI_EMBED_MODEL = 'gemini-embedding-001';
const GEMINI_EMBED_DIMS = 768;
async function embedGemini(input, apiKey) {
try {
const url = `https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:embedContent?key=${apiKey}`;
const url = `https://generativelanguage.googleapis.com/v1beta/models/${GEMINI_EMBED_MODEL}:embedContent?key=${apiKey}`;
const res = await fetch(url, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ model: 'models/text-embedding-004', content: { parts: [{ text: input }] } }),
body: JSON.stringify({
model: `models/${GEMINI_EMBED_MODEL}`,
content: { parts: [{ text: input }] },
outputDimensionality: GEMINI_EMBED_DIMS,
}),
});
if (!res.ok)
return null;
newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.js.map
+1 -1
View File
@@ -1 +1 @@
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{"version":3,"file":"embeddings.js","sourceRoot":"","sources":["embeddings.ts"],"names":[],"mappings":";;;;;AAYA,8BAgBC;AAED,4BAEC;AAED,4CAMC;AAMD,sBAoBC;AA0CD,0CAEC;AA9GD;;;;;;;;GAQG;AACH,oDAA2B;AAE3B,iFAAiF;AACjF,SAAgB,SAAS,CAAC,IAAY,EAAE,MAAM,GAAG,GAAG;IAClD,MAAM,KAAK,GAAG,IAAI,CAAC,KAAK,CAAC,SAAS,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI,EAAE,CAAC,CAAC,MAAM,CAAC,OAAO,CAAC,CAAA;IACxE,MAAM,MAAM,GAAa,EAAE,CAAA;IAC3B,IAAI,GAAG,GAAG,EAAE,CAAA;IACZ,KAAK,MAAM,CAAC,IAAI,KAAK,EAAE,CAAC;QACtB,IAAI,GAAG,IAAI,CAAC,GAAG,CAAC,MAAM,GAAG,CAAC,GAAG,CAAC,CAAC,MAAM,CAAC,GAAG,MAAM,EAAE,CAAC;YAAC,MAAM,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC;YAAC,GAAG,GAAG,CAAC,CAAA;QAAC,CAAC;aACzE,CAAC;YAAC,GAAG,GAAG,GAAG,CAAC,CAAC,CAAC,GAAG,GAAG,OAAO,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAA;QAAC,CAAC;IAC3C,CAAC;IACD,IAAI,GAAG;QAAE,MAAM,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;IACzB,2DAA2D;IAC3D,MAAM,GAAG,GAAa,EAAE,CAAA;IACxB,KAAK,MAAM,CAAC,IAAI,MAAM,EAAE,CAAC;QACvB,IAAI,CAAC,CAAC,MAAM,IAAI,MAAM,GAAG,GAAG,EAAE,CAAC;YAAC,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC;YAAC,SAAQ;QAAC,CAAC;QACvD,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,MAAM,EAAE,CAAC,IAAI,MAAM;YAAE,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC,EAAE,CAAC,GAAG,MAAM,CAAC,CAAC,CAAA;IAC7E,CAAC;IACD,OAAO,GAAG,CAAC,MAAM,CAAC,OAAO,CAAC,CAAA;AAC5B,CAAC;AAED,SAAgB,QAAQ,CAAC,IAAY;IACnC,OAAO,gBAAM,CAAC,UAAU,CAAC,KAAK,CAAC,CAAC,MAAM,CAAC,IAAI,CAAC,CAAC,MAAM,CAAC,KAAK,CAAC,CAAA;AAC5D,CAAC;AAED,SAAgB,gBAAgB,CAAC,CAAW,EAAE,CAAW;IACvD,MAAM,GAAG,GAAG,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,MAAM,EAAE,CAAC,CAAC,MAAM,CAAC,CAAA;IACxC,IAAI,GAAG,GAAG,CAAC,EAAE,EAAE,GAAG,CAAC,EAAE,EAAE,GAAG,CAAC,CAAA;IAC3B,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,GAAG,EAAE,CAAC,EAAE,EAAE,CAAC;QAAC,GAAG,IAAI,CAAC,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC;QAAC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC;QAAC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAA;IAAC,CAAC;IAC1F,IAAI,CAAC,EAAE,IAAI,CAAC,EAAE;QAAE,OAAO,CAAC,CAAA;IACxB,OAAO,GAAG,GAAG,CAAC,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC,CAAA;AAC9C,CAAC;AAED;;;GAGG;AACI,KAAK,UAAU,KAAK,CAAC,IAAY,EAAE,GAAQ;IAChD,MAAM,KAAK,GAAG,CAAC,IAAI,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,CAAC,EAAE,IAAI,CAAC,CAAA;IACzC,IAAI,CAAC,KAAK,CAAC,IAAI,EAAE;QAAE,OAAO,IAAI,CAAA;IAC9B,MAAM,SAAS,GAAG,GAAG,EAAE,UAAgC,CAAA;IACvD,MAAM,SAAS,GAAG,GAAG,EAAE,UAAgC,CAAA;IAEvD,iFAAiF;IACjF,oEAAoE;IACpE,iFAAiF;IACjF,mFAAmF;IACnF,oEAAoE;IACpE,IAAI,SAAS,EAAE,CAAC;QACd,MAAM,CAAC,GAAG,MAAM,WAAW,CAAC,KAAK,EAAE,SAAS,CAAC,CAAA;QAC7C,IAAI,CAAC;YAAE,OAAO,CAAC,CAAA;IACjB,CAAC;IACD,IAAI,SAAS,EAAE,CAAC;QACd,MAAM,CAAC,GAAG,MAAM,WAAW,CAAC,KAAK,EAAE,SAAS,CAAC,CAAA;QAC7C,IAAI,CAAC;YAAE,OAAO,CAAC,CAAA;IACjB,CAAC;IACD,OAAO,IAAI,CAAA;AACb,CAAC;AAED,KAAK,UAAU,WAAW,CAAC,KAAa,EAAE,MAAc;IACtD,IAAI,CAAC;QACH,MAAM,GAAG,GAAG,MAAM,KAAK,CAAC,sCAAsC,EAAE;YAC9D,MAAM,EAAE,MAAM;YACd,OAAO,EAAE,EAAE,cAAc,EAAE,kBAAkB,EAAE,aAAa,EAAE,UAAU,MAAM,EAAE,EAAE;YAClF,IAAI,EAAE,IAAI,CAAC,SAAS,CAAC,EAAE,KAAK,EAAE,wBAAwB,EAAE,KAAK,EAAE,CAAC;SACjE,CAAC,CAAA;QACF,IAAI,CAAC,GAAG,CAAC,EAAE;YAAE,OAAO,IAAI,CAAA;QACxB,MAAM,IAAI,GAAQ,MAAM,GAAG,CAAC,IAAI,EAAE,CAAA;QAClC,OAAO,IAAI,EAAE,IAAI,EAAE,CAAC,CAAC,CAAC,EAAE,SAAS,IAAI,IAAI,CAAA;IAC3C,CAAC;IAAC,MAAM,CAAC;QACP,OAAO,IAAI,CAAA;IACb,CAAC;AACH,CAAC;AAED,oFAAoF;AACpF,gFAAgF;AAChF,MAAM,kBAAkB,GAAG,sBAAsB,CAAA;AACjD,MAAM,iBAAiB,GAAG,GAAG,CAAA;AAE7B,KAAK,UAAU,WAAW,CAAC,KAAa,EAAE,MAAc;IACtD,IAAI,CAAC;QACH,MAAM,GAAG,GAAG,2DAA2D,kBAAkB,qBAAqB,MAAM,EAAE,CAAA;QACtH,MAAM,GAAG,GAAG,MAAM,KAAK,CAAC,GAAG,EAAE;YAC3B,MAAM,EAAE,MAAM;YACd,OAAO,EAAE,EAAE,cAAc,EAAE,kBAAkB,EAAE;YAC/C,IAAI,EAAE,IAAI,CAAC,SAAS,CAAC;gBACnB,KAAK,EAAE,UAAU,kBAAkB,EAAE;gBACrC,OAAO,EAAE,EAAE,KAAK,EAAE,CAAC,EAAE,IAAI,EAAE,KAAK,EAAE,CAAC,EAAE;gBACrC,oBAAoB,EAAE,iBAAiB;aACxC,CAAC;SACH,CAAC,CAAA;QACF,IAAI,CAAC,GAAG,CAAC,EAAE;YAAE,OAAO,IAAI,CAAA;QACxB,MAAM,IAAI,GAAQ,MAAM,GAAG,CAAC,IAAI,EAAE,CAAA;QAClC,OAAO,IAAI,EAAE,SAAS,EAAE,MAAM,IAAI,IAAI,CAAA;IACxC,CAAC;IAAC,MAAM,CAAC;QACP,OAAO,IAAI,CAAA;IACb,CAAC;AACH,CAAC;AAED,SAAgB,eAAe,CAAC,GAAQ;IACtC,OAAO,CAAC,CAAC,CAAC,GAAG,EAAE,UAAU,IAAI,GAAG,EAAE,UAAU,CAAC,CAAA;AAC/C,CAAC"}
newwhats.clube67.com/newwhats.local/plugins/secretaria/embeddings.ts
+12 -3
View File
@@ -2,7 +2,7 @@
* RAG sem pgvector — embeddings + similaridade calculados na aplicação.
*
* Os vetores são gerados via OpenAI (text-embedding-3-small) ou Gemini
* (text-embedding-004), conforme a chave configurada no plugin, e guardados
* (gemini-embedding-001 @ 768 dims), conforme a chave configurada no plugin, e guardados
* como JSON em coluna text. A busca por similaridade (cosseno) roda em Node.
* Para a base pequena da secretária (dezenas/centenas de chunks) é rápido e
* dispensa a extensão pgvector.
@@ -81,13 +81,22 @@ async function embedOpenAI(input: string, apiKey: string): Promise<number[] | nu
}
}
// gemini-embedding-001 (text-embedding-004 foi descontinuado). Default = 3072 dims;
// fixamos 768 (outputDimensionality) para vetores mais leves em JSON + cosseno.
const GEMINI_EMBED_MODEL = 'gemini-embedding-001'
const GEMINI_EMBED_DIMS = 768
async function embedGemini(input: string, apiKey: string): Promise<number[] | null> {
try {
const url = `https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:embedContent?key=${apiKey}`
const url = `https://generativelanguage.googleapis.com/v1beta/models/${GEMINI_EMBED_MODEL}:embedContent?key=${apiKey}`
const res = await fetch(url, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ model: 'models/text-embedding-004', content: { parts: [{ text: input }] } }),
body: JSON.stringify({
model: `models/${GEMINI_EMBED_MODEL}`,
content: { parts: [{ text: input }] },
outputDimensionality: GEMINI_EMBED_DIMS,
}),
})
if (!res.ok) return null
const data: any = await res.json()