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add embedding engine to telem

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timothycarambat
2023-12-07 08:53:37 -08:00
parent ef79649891
commit 33de34f8dc
4 changed files with 7 additions and 0 deletions
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2
server/endpoints/api/workspace/index.js
View File

@@ -65,6 +65,7 @@ function apiWorkspaceEndpoints(app) {
await Telemetry.sendTelemetry("workspace_created", {
multiUserMode: multiUserMode(response),
LLMSelection: process.env.LLM_PROVIDER || "openai",
Embedder: process.env.EMBEDDING_ENGINE || "inherit",
VectorDbSelection: process.env.VECTOR_DB || "pinecone",
});
response.status(200).json({ workspace, message });
@@ -488,6 +489,7 @@ function apiWorkspaceEndpoints(app) {
const result = await chatWithWorkspace(workspace, message, mode);
await Telemetry.sendTelemetry("sent_chat", {
LLMSelection: process.env.LLM_PROVIDER || "openai",
Embedder: process.env.EMBEDDING_ENGINE || "inherit",
VectorDbSelection: process.env.VECTOR_DB || "pinecone",
});
response.status(200).json({ ...result });

2
server/endpoints/chat.js
View File

@@ -77,6 +77,7 @@ function chatEndpoints(app) {
await Telemetry.sendTelemetry("sent_chat", {
multiUserMode: multiUserMode(response),
LLMSelection: process.env.LLM_PROVIDER || "openai",
Embedder: process.env.EMBEDDING_ENGINE || "inherit",
VectorDbSelection: process.env.VECTOR_DB || "pinecone",
});
response.end();
@@ -154,6 +155,7 @@ function chatEndpoints(app) {
{
multiUserMode: multiUserMode(response),
LLMSelection: process.env.LLM_PROVIDER || "openai",
Embedder: process.env.EMBEDDING_ENGINE || "inherit",
VectorDbSelection: process.env.VECTOR_DB || "pinecone",
},
user?.id

1
server/endpoints/workspaces.js
View File

@@ -32,6 +32,7 @@ function workspaceEndpoints(app) {
{
multiUserMode: multiUserMode(response),
LLMSelection: process.env.LLM_PROVIDER || "openai",
Embedder: process.env.EMBEDDING_ENGINE || "inherit",
VectorDbSelection: process.env.VECTOR_DB || "pinecone",
},
user?.id

2
server/models/documents.js
View File

@@ -74,6 +74,7 @@ const Document = {
await Telemetry.sendTelemetry("documents_embedded_in_workspace", {
LLMSelection: process.env.LLM_PROVIDER || "openai",
Embedder: process.env.EMBEDDING_ENGINE || "inherit",
VectorDbSelection: process.env.VECTOR_DB || "pinecone",
});
return { failed: failedToEmbed, embedded };
@@ -105,6 +106,7 @@ const Document = {
await Telemetry.sendTelemetry("documents_removed_in_workspace", {
LLMSelection: process.env.LLM_PROVIDER || "openai",
Embedder: process.env.EMBEDDING_ENGINE || "inherit",
VectorDbSelection: process.env.VECTOR_DB || "pinecone",
});
return true;