mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-11-19 12:40:09 +01:00
Merge branch 'master' of github.com:Mintplex-Labs/anything-llm into render
This commit is contained in:
timothycarambat
commit
6d7f8b71cf
@ -87,6 +87,7 @@ AnythingLLM divides your documents into objects called `workspaces`. A Workspace
|
||||
- [Fireworks AI (chat models)](https://fireworks.ai/)
|
||||
- [Perplexity (chat models)](https://www.perplexity.ai/)
|
||||
- [OpenRouter (chat models)](https://openrouter.ai/)
|
||||
- [DeepSeek (chat models)](https://deepseek.com/)
|
||||
- [Mistral](https://mistral.ai/)
|
||||
- [Groq](https://groq.com/)
|
||||
- [Cohere](https://cohere.com/)
|
||||
|
||||
@ -15,6 +15,7 @@
|
||||
"lint": "yarn prettier --ignore-path ../.prettierignore --write ./processSingleFile ./processLink ./utils index.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"@langchain/community": "^0.2.23",
|
||||
"@xenova/transformers": "^2.11.0",
|
||||
"bcrypt": "^5.1.0",
|
||||
"body-parser": "^1.20.2",
|
||||
@ -30,7 +31,6 @@
|
||||
"mammoth": "^1.6.0",
|
||||
"mbox-parser": "^1.0.1",
|
||||
"mime": "^3.0.0",
|
||||
"minimatch": "5.1.0",
|
||||
"moment": "^2.29.4",
|
||||
"node-html-parser": "^6.1.13",
|
||||
"officeparser": "^4.0.5",
|
||||
|
||||
@ -13,6 +13,7 @@ class ConfluencePagesLoader {
|
||||
limit = 25,
|
||||
expand = "body.storage,version",
|
||||
personalAccessToken,
|
||||
cloud = true,
|
||||
}) {
|
||||
this.baseUrl = baseUrl;
|
||||
this.spaceKey = spaceKey;
|
||||
@ -21,6 +22,7 @@ class ConfluencePagesLoader {
|
||||
this.limit = limit;
|
||||
this.expand = expand;
|
||||
this.personalAccessToken = personalAccessToken;
|
||||
this.cloud = cloud;
|
||||
}
|
||||
|
||||
get authorizationHeader() {
|
||||
@ -74,7 +76,11 @@ class ConfluencePagesLoader {
|
||||
|
||||
// https://developer.atlassian.com/cloud/confluence/rest/v2/intro/#auth
|
||||
async fetchAllPagesInSpace(start = 0, limit = this.limit) {
|
||||
const url = `${this.baseUrl}/wiki/rest/api/content?spaceKey=${this.spaceKey}&limit=${limit}&start=${start}&expand=${this.expand}`;
|
||||
const url = `${this.baseUrl}${
|
||||
this.cloud ? "/wiki" : ""
|
||||
}/rest/api/content?spaceKey=${
|
||||
this.spaceKey
|
||||
}&limit=${limit}&start=${start}&expand=${this.expand}`;
|
||||
const data = await this.fetchConfluenceData(url);
|
||||
if (data.size === 0) {
|
||||
return [];
|
||||
|
||||
@ -13,7 +13,13 @@ const { ConfluencePagesLoader } = require("./ConfluenceLoader");
|
||||
* @returns
|
||||
*/
|
||||
async function loadConfluence(
|
||||
{ baseUrl = null, spaceKey = null, username = null, accessToken = null },
|
||||
{
|
||||
baseUrl = null,
|
||||
spaceKey = null,
|
||||
username = null,
|
||||
accessToken = null,
|
||||
cloud = true,
|
||||
},
|
||||
response
|
||||
) {
|
||||
if (!baseUrl || !spaceKey || !username || !accessToken) {
|
||||
@ -45,6 +51,7 @@ async function loadConfluence(
|
||||
spaceKey,
|
||||
username,
|
||||
accessToken,
|
||||
cloud,
|
||||
});
|
||||
|
||||
const { docs, error } = await loader
|
||||
@ -66,7 +73,7 @@ async function loadConfluence(
|
||||
};
|
||||
}
|
||||
const outFolder = slugify(
|
||||
`confluence-${origin}-${v4().slice(0, 4)}`
|
||||
`confluence-${hostname}-${v4().slice(0, 4)}`
|
||||
).toLowerCase();
|
||||
const outFolderPath = path.resolve(documentsFolder, outFolder);
|
||||
if (!fs.existsSync(outFolderPath))
|
||||
@ -83,7 +90,7 @@ async function loadConfluence(
|
||||
description: doc.metadata.title,
|
||||
docSource: `${origin} Confluence`,
|
||||
chunkSource: generateChunkSource(
|
||||
{ doc, baseUrl: origin, spaceKey, accessToken, username },
|
||||
{ doc, baseUrl: origin, spaceKey, accessToken, username, cloud },
|
||||
response.locals.encryptionWorker
|
||||
),
|
||||
published: new Date().toLocaleString(),
|
||||
@ -122,6 +129,7 @@ async function fetchConfluencePage({
|
||||
spaceKey,
|
||||
username,
|
||||
accessToken,
|
||||
cloud = true,
|
||||
}) {
|
||||
if (!pageUrl || !baseUrl || !spaceKey || !username || !accessToken) {
|
||||
return {
|
||||
@ -154,6 +162,7 @@ async function fetchConfluencePage({
|
||||
spaceKey,
|
||||
username,
|
||||
accessToken,
|
||||
cloud,
|
||||
});
|
||||
|
||||
const { docs, error } = await loader
|
||||
@ -217,7 +226,7 @@ function validBaseUrl(baseUrl) {
|
||||
* @returns {string}
|
||||
*/
|
||||
function generateChunkSource(
|
||||
{ doc, baseUrl, spaceKey, accessToken, username },
|
||||
{ doc, baseUrl, spaceKey, accessToken, username, cloud },
|
||||
encryptionWorker
|
||||
) {
|
||||
const payload = {
|
||||
@ -225,6 +234,7 @@ function generateChunkSource(
|
||||
spaceKey,
|
||||
token: accessToken,
|
||||
username,
|
||||
cloud,
|
||||
};
|
||||
return `confluence://${doc.metadata.url}?payload=${encryptionWorker.encrypt(
|
||||
JSON.stringify(payload)
|
||||
|
||||
@ -105,7 +105,7 @@ class GitHubRepoLoader {
|
||||
if (!this.ready) throw new Error("[Github Loader]: not in ready state!");
|
||||
const {
|
||||
GithubRepoLoader: LCGithubLoader,
|
||||
} = require("langchain/document_loaders/web/github");
|
||||
} = require("@langchain/community/document_loaders/web/github");
|
||||
|
||||
if (this.accessToken)
|
||||
console.log(
|
||||
@ -113,17 +113,16 @@ class GitHubRepoLoader {
|
||||
);
|
||||
|
||||
const loader = new LCGithubLoader(this.repo, {
|
||||
accessToken: this.accessToken,
|
||||
branch: this.branch,
|
||||
recursive: !!this.accessToken, // Recursive will hit rate limits.
|
||||
maxConcurrency: 5,
|
||||
unknown: "ignore",
|
||||
unknown: "warn",
|
||||
accessToken: this.accessToken,
|
||||
ignorePaths: this.ignorePaths,
|
||||
verbose: true,
|
||||
});
|
||||
|
||||
const docs = [];
|
||||
for await (const doc of loader.loadAsStream()) docs.push(doc);
|
||||
const docs = await loader.load();
|
||||
return docs;
|
||||
}
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
const minimatch = require("minimatch");
|
||||
const ignore = require("ignore");
|
||||
|
||||
/**
|
||||
* @typedef {Object} RepoLoaderArgs
|
||||
@ -6,6 +6,7 @@ const minimatch = require("minimatch");
|
||||
* @property {string} [branch] - The branch to load from (optional).
|
||||
* @property {string} [accessToken] - GitLab access token for authentication (optional).
|
||||
* @property {string[]} [ignorePaths] - Array of paths to ignore when loading (optional).
|
||||
* @property {boolean} [fetchIssues] - Should issues be fetched (optional).
|
||||
*/
|
||||
|
||||
/**
|
||||
@ -33,6 +34,8 @@ class GitLabRepoLoader {
|
||||
this.branch = args?.branch;
|
||||
this.accessToken = args?.accessToken || null;
|
||||
this.ignorePaths = args?.ignorePaths || [];
|
||||
this.ignoreFilter = ignore().add(this.ignorePaths);
|
||||
this.withIssues = args?.fetchIssues || false;
|
||||
|
||||
this.projectId = null;
|
||||
this.apiBase = "https://gitlab.com";
|
||||
@ -123,22 +126,44 @@ class GitLabRepoLoader {
|
||||
|
||||
if (this.accessToken)
|
||||
console.log(
|
||||
`[Gitlab Loader]: Access token set! Recursive loading enabled!`
|
||||
`[Gitlab Loader]: Access token set! Recursive loading enabled for ${this.repo}!`
|
||||
);
|
||||
|
||||
const files = await this.fetchFilesRecursive();
|
||||
const docs = [];
|
||||
|
||||
for (const file of files) {
|
||||
if (this.ignorePaths.some((path) => file.path.includes(path))) continue;
|
||||
console.log(`[Gitlab Loader]: Fetching files.`);
|
||||
|
||||
const content = await this.fetchSingleFileContents(file.path);
|
||||
if (content) {
|
||||
docs.push({
|
||||
pageContent: content,
|
||||
metadata: { source: file.path },
|
||||
});
|
||||
}
|
||||
const files = await this.fetchFilesRecursive();
|
||||
|
||||
console.log(`[Gitlab Loader]: Fetched ${files.length} files.`);
|
||||
|
||||
for (const file of files) {
|
||||
if (this.ignoreFilter.ignores(file.path)) continue;
|
||||
|
||||
docs.push({
|
||||
pageContent: file.content,
|
||||
metadata: {
|
||||
source: file.path,
|
||||
url: `${this.repo}/-/blob/${this.branch}/${file.path}`,
|
||||
},
|
||||
});
|
||||
}
|
||||
|
||||
if (this.withIssues) {
|
||||
console.log(`[Gitlab Loader]: Fetching issues.`);
|
||||
const issues = await this.fetchIssues();
|
||||
console.log(
|
||||
`[Gitlab Loader]: Fetched ${issues.length} issues with discussions.`
|
||||
);
|
||||
docs.push(
|
||||
...issues.map((issue) => ({
|
||||
issue,
|
||||
metadata: {
|
||||
source: `issue-${this.repo}-${issue.iid}`,
|
||||
url: issue.web_url,
|
||||
},
|
||||
}))
|
||||
);
|
||||
}
|
||||
|
||||
return docs;
|
||||
@ -160,51 +185,14 @@ class GitLabRepoLoader {
|
||||
if (!this.#validGitlabUrl() || !this.projectId) return [];
|
||||
await this.#validateAccessToken();
|
||||
this.branches = [];
|
||||
let fetching = true;
|
||||
let page = 1;
|
||||
let perPage = 50;
|
||||
|
||||
while (fetching) {
|
||||
try {
|
||||
const params = new URLSearchParams({
|
||||
per_page: perPage,
|
||||
page,
|
||||
});
|
||||
const response = await fetch(
|
||||
`${this.apiBase}/api/v4/projects/${
|
||||
this.projectId
|
||||
}/repository/branches?${params.toString()}`,
|
||||
{
|
||||
method: "GET",
|
||||
headers: {
|
||||
Accepts: "application/json",
|
||||
...(this.accessToken
|
||||
? { "PRIVATE-TOKEN": this.accessToken }
|
||||
: {}),
|
||||
},
|
||||
}
|
||||
)
|
||||
.then((res) => res.json())
|
||||
.then((branches) => {
|
||||
if (!Array.isArray(branches) || branches.length === 0) {
|
||||
fetching = false;
|
||||
return [];
|
||||
}
|
||||
return branches.map((b) => b.name);
|
||||
})
|
||||
.catch((e) => {
|
||||
console.error(e);
|
||||
fetching = false;
|
||||
return [];
|
||||
});
|
||||
const branchesRequestData = {
|
||||
endpoint: `/api/v4/projects/${this.projectId}/repository/branches`,
|
||||
};
|
||||
|
||||
this.branches.push(...response);
|
||||
page++;
|
||||
} catch (err) {
|
||||
console.log(`RepoLoader.getRepoBranches`, err);
|
||||
fetching = false;
|
||||
return [];
|
||||
}
|
||||
let branchesPage = [];
|
||||
while ((branchesPage = await this.fetchNextPage(branchesRequestData))) {
|
||||
this.branches.push(...branchesPage.map((branch) => branch.name));
|
||||
}
|
||||
return this.#branchPrefSort(this.branches);
|
||||
}
|
||||
@ -215,62 +203,91 @@ class GitLabRepoLoader {
|
||||
*/
|
||||
async fetchFilesRecursive() {
|
||||
const files = [];
|
||||
let perPage = 100;
|
||||
let fetching = true;
|
||||
let page = 1;
|
||||
const filesRequestData = {
|
||||
endpoint: `/api/v4/projects/${this.projectId}/repository/tree`,
|
||||
queryParams: {
|
||||
ref: this.branch,
|
||||
recursive: true,
|
||||
},
|
||||
};
|
||||
|
||||
while (fetching) {
|
||||
try {
|
||||
const params = new URLSearchParams({
|
||||
ref: this.branch,
|
||||
recursive: true,
|
||||
per_page: perPage,
|
||||
page,
|
||||
let filesPage = null;
|
||||
let pagePromises = [];
|
||||
while ((filesPage = await this.fetchNextPage(filesRequestData))) {
|
||||
// Fetch all the files that are not ignored in parallel.
|
||||
pagePromises = filesPage
|
||||
.filter((file) => {
|
||||
if (file.type !== "blob") return false;
|
||||
return !this.ignoreFilter.ignores(file.path);
|
||||
})
|
||||
.map(async (file) => {
|
||||
const content = await this.fetchSingleFileContents(file.path);
|
||||
if (!content) return null;
|
||||
return {
|
||||
path: file.path,
|
||||
content,
|
||||
};
|
||||
});
|
||||
const queryUrl = `${this.apiBase}/api/v4/projects/${
|
||||
this.projectId
|
||||
}/repository/tree?${params.toString()}`;
|
||||
const response = await fetch(queryUrl, {
|
||||
method: "GET",
|
||||
headers: this.accessToken
|
||||
? { "PRIVATE-TOKEN": this.accessToken }
|
||||
: {},
|
||||
});
|
||||
const totalPages = Number(response.headers.get("x-total-pages"));
|
||||
const nextPage = Number(response.headers.get("x-next-page"));
|
||||
const data = await response.json();
|
||||
|
||||
/** @type {FileTreeObject[]} */
|
||||
const objects = Array.isArray(data)
|
||||
? data.filter((item) => item.type === "blob")
|
||||
: []; // only get files, not paths or submodules
|
||||
const pageFiles = await Promise.all(pagePromises);
|
||||
|
||||
// Apply ignore path rules to found objects. If any rules match it is an invalid file path.
|
||||
console.log(
|
||||
`Found ${objects.length} blobs from repo from pg ${page}/${totalPages}`
|
||||
);
|
||||
for (const file of objects) {
|
||||
const isIgnored = this.ignorePaths.some((ignorePattern) =>
|
||||
minimatch(file.path, ignorePattern, { matchBase: true })
|
||||
);
|
||||
if (!isIgnored) files.push(file);
|
||||
}
|
||||
|
||||
if (page === totalPages) {
|
||||
fetching = false;
|
||||
break;
|
||||
}
|
||||
|
||||
page = Number(nextPage);
|
||||
} catch (e) {
|
||||
console.error(`RepoLoader.getRepositoryTree`, e);
|
||||
fetching = false;
|
||||
break;
|
||||
}
|
||||
files.push(...pageFiles.filter((item) => item !== null));
|
||||
console.log(`Fetched ${files.length} files.`);
|
||||
}
|
||||
console.log(`Total files fetched: ${files.length}`);
|
||||
return files;
|
||||
}
|
||||
|
||||
/**
|
||||
* Fetches all issues from the repository.
|
||||
* @returns {Promise<Issue[]>} An array of issue objects.
|
||||
*/
|
||||
async fetchIssues() {
|
||||
const issues = [];
|
||||
const issuesRequestData = {
|
||||
endpoint: `/api/v4/projects/${this.projectId}/issues`,
|
||||
};
|
||||
|
||||
let issuesPage = null;
|
||||
let pagePromises = [];
|
||||
while ((issuesPage = await this.fetchNextPage(issuesRequestData))) {
|
||||
// Fetch all the issues in parallel.
|
||||
pagePromises = issuesPage.map(async (issue) => {
|
||||
const discussionsRequestData = {
|
||||
endpoint: `/api/v4/projects/${this.projectId}/issues/${issue.iid}/discussions`,
|
||||
};
|
||||
let discussionPage = null;
|
||||
const discussions = [];
|
||||
|
||||
while (
|
||||
(discussionPage = await this.fetchNextPage(discussionsRequestData))
|
||||
) {
|
||||
discussions.push(
|
||||
...discussionPage.map(({ notes }) =>
|
||||
notes.map(
|
||||
({ body, author, created_at }) =>
|
||||
`${author.username} at ${created_at}:
|
||||
${body}`
|
||||
)
|
||||
)
|
||||
);
|
||||
}
|
||||
const result = {
|
||||
...issue,
|
||||
discussions,
|
||||
};
|
||||
return result;
|
||||
});
|
||||
|
||||
const pageIssues = await Promise.all(pagePromises);
|
||||
|
||||
issues.push(...pageIssues);
|
||||
console.log(`Fetched ${issues.length} issues.`);
|
||||
}
|
||||
console.log(`Total issues fetched: ${issues.length}`);
|
||||
return issues;
|
||||
}
|
||||
|
||||
/**
|
||||
* Fetches the content of a single file from the repository.
|
||||
* @param {string} sourceFilePath - The path to the file in the repository.
|
||||
@ -301,6 +318,59 @@ class GitLabRepoLoader {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Fetches the next page of data from the API.
|
||||
* @param {Object} requestData - The request data.
|
||||
* @returns {Promise<Array<Object>|null>} The next page of data, or null if no more pages.
|
||||
*/
|
||||
async fetchNextPage(requestData) {
|
||||
try {
|
||||
if (requestData.page === -1) return null;
|
||||
if (!requestData.page) requestData.page = 1;
|
||||
|
||||
const { endpoint, perPage = 100, queryParams = {} } = requestData;
|
||||
const params = new URLSearchParams({
|
||||
...queryParams,
|
||||
per_page: perPage,
|
||||
page: requestData.page,
|
||||
});
|
||||
const url = `${this.apiBase}${endpoint}?${params.toString()}`;
|
||||
|
||||
const response = await fetch(url, {
|
||||
method: "GET",
|
||||
headers: this.accessToken ? { "PRIVATE-TOKEN": this.accessToken } : {},
|
||||
});
|
||||
|
||||
// Rate limits get hit very often if no PAT is provided
|
||||
if (response.status === 401) {
|
||||
console.warn(`Rate limit hit for ${endpoint}. Skipping.`);
|
||||
return null;
|
||||
}
|
||||
|
||||
const totalPages = Number(response.headers.get("x-total-pages"));
|
||||
const data = await response.json();
|
||||
if (!Array.isArray(data)) {
|
||||
console.warn(`Unexpected response format for ${endpoint}:`, data);
|
||||
return [];
|
||||
}
|
||||
|
||||
console.log(
|
||||
`Gitlab RepoLoader: fetched ${endpoint} page ${requestData.page}/${totalPages} with ${data.length} records.`
|
||||
);
|
||||
|
||||
if (totalPages === requestData.page) {
|
||||
requestData.page = -1;
|
||||
} else {
|
||||
requestData.page = Number(response.headers.get("x-next-page"));
|
||||
}
|
||||
|
||||
return data;
|
||||
} catch (e) {
|
||||
console.error(`RepoLoader.fetchNextPage`, e);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = GitLabRepoLoader;
|
||||
|
||||
@ -43,13 +43,12 @@ async function loadGitlabRepo(args, response) {
|
||||
fs.mkdirSync(outFolderPath, { recursive: true });
|
||||
|
||||
for (const doc of docs) {
|
||||
if (!doc.pageContent) continue;
|
||||
if (!doc.metadata || (!doc.pageContent && !doc.issue)) continue;
|
||||
let pageContent = null;
|
||||
|
||||
const data = {
|
||||
id: v4(),
|
||||
url: "gitlab://" + doc.metadata.source,
|
||||
title: doc.metadata.source,
|
||||
docAuthor: repo.author,
|
||||
description: "No description found.",
|
||||
docSource: doc.metadata.source,
|
||||
chunkSource: generateChunkSource(
|
||||
repo,
|
||||
@ -57,13 +56,32 @@ async function loadGitlabRepo(args, response) {
|
||||
response.locals.encryptionWorker
|
||||
),
|
||||
published: new Date().toLocaleString(),
|
||||
wordCount: doc.pageContent.split(" ").length,
|
||||
pageContent: doc.pageContent,
|
||||
token_count_estimate: tokenizeString(doc.pageContent).length,
|
||||
};
|
||||
|
||||
if (doc.pageContent) {
|
||||
pageContent = doc.pageContent;
|
||||
|
||||
data.title = doc.metadata.source;
|
||||
data.docAuthor = repo.author;
|
||||
data.description = "No description found.";
|
||||
} else if (doc.issue) {
|
||||
pageContent = issueToMarkdown(doc.issue);
|
||||
|
||||
data.title = `Issue ${doc.issue.iid}: ${doc.issue.title}`;
|
||||
data.docAuthor = doc.issue.author.username;
|
||||
data.description = doc.issue.description;
|
||||
} else {
|
||||
continue;
|
||||
}
|
||||
|
||||
data.wordCount = pageContent.split(" ").length;
|
||||
data.token_count_estimate = tokenizeString(pageContent).length;
|
||||
data.pageContent = pageContent;
|
||||
|
||||
console.log(
|
||||
`[GitLab Loader]: Saving ${doc.metadata.source} to ${outFolder}`
|
||||
);
|
||||
|
||||
writeToServerDocuments(
|
||||
data,
|
||||
`${slugify(doc.metadata.source)}-${data.id}`,
|
||||
@ -135,4 +153,93 @@ function generateChunkSource(repo, doc, encryptionWorker) {
|
||||
)}`;
|
||||
}
|
||||
|
||||
function issueToMarkdown(issue) {
|
||||
const metadata = {};
|
||||
|
||||
const userFields = ["author", "assignees", "closed_by"];
|
||||
const userToUsername = ({ username }) => username;
|
||||
for (const userField of userFields) {
|
||||
if (issue[userField]) {
|
||||
if (Array.isArray(issue[userField])) {
|
||||
metadata[userField] = issue[userField].map(userToUsername);
|
||||
} else {
|
||||
metadata[userField] = userToUsername(issue[userField]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const singleValueFields = [
|
||||
"web_url",
|
||||
"state",
|
||||
"created_at",
|
||||
"updated_at",
|
||||
"closed_at",
|
||||
"due_date",
|
||||
"type",
|
||||
"merge_request_count",
|
||||
"upvotes",
|
||||
"downvotes",
|
||||
"labels",
|
||||
"has_tasks",
|
||||
"task_status",
|
||||
"confidential",
|
||||
"severity",
|
||||
];
|
||||
|
||||
for (const singleValueField of singleValueFields) {
|
||||
metadata[singleValueField] = issue[singleValueField];
|
||||
}
|
||||
|
||||
if (issue.milestone) {
|
||||
metadata.milestone = `${issue.milestone.title} (${issue.milestone.id})`;
|
||||
}
|
||||
|
||||
if (issue.time_stats) {
|
||||
const timeFields = ["time_estimate", "total_time_spent"];
|
||||
for (const timeField of timeFields) {
|
||||
const fieldName = `human_${timeField}`;
|
||||
if (issue?.time_stats[fieldName]) {
|
||||
metadata[timeField] = issue.time_stats[fieldName];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const metadataString = Object.entries(metadata)
|
||||
.map(([name, value]) => {
|
||||
if (!value || value?.length < 1) {
|
||||
return null;
|
||||
}
|
||||
let result = `- ${name.replace("_", " ")}:`;
|
||||
|
||||
if (!Array.isArray(value)) {
|
||||
result += ` ${value}`;
|
||||
} else {
|
||||
result += "\n" + value.map((s) => ` - ${s}`).join("\n");
|
||||
}
|
||||
|
||||
return result;
|
||||
})
|
||||
.filter((item) => item != null)
|
||||
.join("\n");
|
||||
|
||||
let markdown = `# ${issue.title} (${issue.iid})
|
||||
|
||||
${issue.description}
|
||||
|
||||
## Metadata
|
||||
|
||||
${metadataString}`;
|
||||
|
||||
if (issue.discussions.length > 0) {
|
||||
markdown += `
|
||||
|
||||
## Activity
|
||||
|
||||
${issue.discussions.join("\n\n")}
|
||||
`;
|
||||
}
|
||||
|
||||
return markdown;
|
||||
}
|
||||
|
||||
module.exports = { loadGitlabRepo, fetchGitlabFile };
|
||||
|
||||
@ -64,6 +64,23 @@
|
||||
resolved "https://registry.yarnpkg.com/@huggingface/jinja/-/jinja-0.2.2.tgz#faeb205a9d6995089bef52655ddd8245d3190627"
|
||||
integrity sha512-/KPde26khDUIPkTGU82jdtTW9UAuvUTumCAbFs/7giR0SxsvZC4hru51PBvpijH6BVkHcROcvZM/lpy5h1jRRA==
|
||||
|
||||
"@langchain/community@^0.2.23":
|
||||
version "0.2.23"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/community/-/community-0.2.23.tgz#20560e107bcc8432c42e499f1b9292d41a3732f2"
|
||||
integrity sha512-p1n/zZ1F+O5l51RzeoUeJyhpzq6Wp11tkqKOj8oThKOQJgLhO7q6iFIvmKThzL7mZCNNuPM5r1OPnU4wO6iF/A==
|
||||
dependencies:
|
||||
"@langchain/core" ">=0.2.16 <0.3.0"
|
||||
"@langchain/openai" ">=0.1.0 <0.3.0"
|
||||
binary-extensions "^2.2.0"
|
||||
expr-eval "^2.0.2"
|
||||
flat "^5.0.2"
|
||||
js-yaml "^4.1.0"
|
||||
langchain "~0.2.3"
|
||||
langsmith "~0.1.30"
|
||||
uuid "^10.0.0"
|
||||
zod "^3.22.3"
|
||||
zod-to-json-schema "^3.22.5"
|
||||
|
||||
"@langchain/community@~0.0.47":
|
||||
version "0.0.53"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/community/-/community-0.0.53.tgz#a9aaedffa0ed2977e8d302d74e9f90a49a6da037"
|
||||
@ -78,6 +95,23 @@
|
||||
zod "^3.22.3"
|
||||
zod-to-json-schema "^3.22.5"
|
||||
|
||||
"@langchain/core@>=0.2.11 <0.3.0", "@langchain/core@>=0.2.16 <0.3.0":
|
||||
version "0.2.20"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-0.2.20.tgz#5115781b0a86db3ce4b697e473405892c09621ca"
|
||||
integrity sha512-WPBjrzOj79/yqjloDUIw1GDhuRQfHis07TyyDj+qS81nHh0svSasetKcqAZ3L5JoPcBmEL7rRBtM+OcyC3mLVg==
|
||||
dependencies:
|
||||
ansi-styles "^5.0.0"
|
||||
camelcase "6"
|
||||
decamelize "1.2.0"
|
||||
js-tiktoken "^1.0.12"
|
||||
langsmith "~0.1.39"
|
||||
mustache "^4.2.0"
|
||||
p-queue "^6.6.2"
|
||||
p-retry "4"
|
||||
uuid "^10.0.0"
|
||||
zod "^3.22.4"
|
||||
zod-to-json-schema "^3.22.3"
|
||||
|
||||
"@langchain/core@~0.1", "@langchain/core@~0.1.56", "@langchain/core@~0.1.60":
|
||||
version "0.1.61"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-0.1.61.tgz#9313363e04f1c6981a938b2909c44ce6fceb2736"
|
||||
@ -96,6 +130,17 @@
|
||||
zod "^3.22.4"
|
||||
zod-to-json-schema "^3.22.3"
|
||||
|
||||
"@langchain/openai@>=0.1.0 <0.3.0":
|
||||
version "0.2.5"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/openai/-/openai-0.2.5.tgz#e85b983986a7415ea743d4c854bb0674134334d4"
|
||||
integrity sha512-gQXS5VBFyAco0jgSnUVan6fYVSIxlffmDaeDGpXrAmz2nQPgiN/h24KYOt2NOZ1zRheRzRuO/CfRagMhyVUaFA==
|
||||
dependencies:
|
||||
"@langchain/core" ">=0.2.16 <0.3.0"
|
||||
js-tiktoken "^1.0.12"
|
||||
openai "^4.49.1"
|
||||
zod "^3.22.4"
|
||||
zod-to-json-schema "^3.22.3"
|
||||
|
||||
"@langchain/openai@~0.0.28":
|
||||
version "0.0.28"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/openai/-/openai-0.0.28.tgz#afaeec61b44816935db9ae937496c964c81ab571"
|
||||
@ -559,13 +604,6 @@ brace-expansion@^1.1.7:
|
||||
balanced-match "^1.0.0"
|
||||
concat-map "0.0.1"
|
||||
|
||||
brace-expansion@^2.0.1:
|
||||
version "2.0.1"
|
||||
resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-2.0.1.tgz#1edc459e0f0c548486ecf9fc99f2221364b9a0ae"
|
||||
integrity sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA==
|
||||
dependencies:
|
||||
balanced-match "^1.0.0"
|
||||
|
||||
braces@~3.0.2:
|
||||
version "3.0.2"
|
||||
resolved "https://registry.yarnpkg.com/braces/-/braces-3.0.2.tgz#3454e1a462ee8d599e236df336cd9ea4f8afe107"
|
||||
@ -1769,6 +1807,13 @@ js-tiktoken@^1.0.11, js-tiktoken@^1.0.7, js-tiktoken@^1.0.8:
|
||||
dependencies:
|
||||
base64-js "^1.5.1"
|
||||
|
||||
js-tiktoken@^1.0.12:
|
||||
version "1.0.12"
|
||||
resolved "https://registry.yarnpkg.com/js-tiktoken/-/js-tiktoken-1.0.12.tgz#af0f5cf58e5e7318240d050c8413234019424211"
|
||||
integrity sha512-L7wURW1fH9Qaext0VzaUDpFGVQgjkdE3Dgsy9/+yXyGEpBKnylTd0mU0bfbNkKDlXRb6TEsZkwuflu1B8uQbJQ==
|
||||
dependencies:
|
||||
base64-js "^1.5.1"
|
||||
|
||||
js-tokens@^4.0.0:
|
||||
version "4.0.0"
|
||||
resolved "https://registry.yarnpkg.com/js-tokens/-/js-tokens-4.0.0.tgz#19203fb59991df98e3a287050d4647cdeaf32499"
|
||||
@ -1844,6 +1889,28 @@ langchain@0.1.36:
|
||||
zod "^3.22.4"
|
||||
zod-to-json-schema "^3.22.3"
|
||||
|
||||
langchain@~0.2.3:
|
||||
version "0.2.12"
|
||||
resolved "https://registry.yarnpkg.com/langchain/-/langchain-0.2.12.tgz#3fac0b9519a070689b6dd679d5854abc57824dcf"
|
||||
integrity sha512-ZHtJrHUpridZ7IQu7N/wAQ6iMAAO7VLzkupHqKP79S6p+alrPbn1BjRnh+PeGm92YiY5DafTCuvchmujxx7bCQ==
|
||||
dependencies:
|
||||
"@langchain/core" ">=0.2.11 <0.3.0"
|
||||
"@langchain/openai" ">=0.1.0 <0.3.0"
|
||||
"@langchain/textsplitters" "~0.0.0"
|
||||
binary-extensions "^2.2.0"
|
||||
js-tiktoken "^1.0.12"
|
||||
js-yaml "^4.1.0"
|
||||
jsonpointer "^5.0.1"
|
||||
langchainhub "~0.0.8"
|
||||
langsmith "~0.1.30"
|
||||
ml-distance "^4.0.0"
|
||||
openapi-types "^12.1.3"
|
||||
p-retry "4"
|
||||
uuid "^10.0.0"
|
||||
yaml "^2.2.1"
|
||||
zod "^3.22.4"
|
||||
zod-to-json-schema "^3.22.3"
|
||||
|
||||
langchainhub@~0.0.8:
|
||||
version "0.0.8"
|
||||
resolved "https://registry.yarnpkg.com/langchainhub/-/langchainhub-0.0.8.tgz#fd4b96dc795e22e36c1a20bad31b61b0c33d3110"
|
||||
@ -1860,6 +1927,18 @@ langsmith@~0.1.1, langsmith@~0.1.7:
|
||||
p-retry "4"
|
||||
uuid "^9.0.0"
|
||||
|
||||
langsmith@~0.1.30, langsmith@~0.1.39:
|
||||
version "0.1.40"
|
||||
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.1.40.tgz#9708889386a5b9d0eb43dd3a9eba93513b57101d"
|
||||
integrity sha512-11E2WLbh/+41+Qc0w8fJJTC/iz91BA+zXRMX/Wz0KSstnfzIPBoiWa++Kp2X8yCIDNywWWLJhy/B8gYzm7VKig==
|
||||
dependencies:
|
||||
"@types/uuid" "^9.0.1"
|
||||
commander "^10.0.1"
|
||||
p-queue "^6.6.2"
|
||||
p-retry "4"
|
||||
semver "^7.6.3"
|
||||
uuid "^9.0.0"
|
||||
|
||||
leac@^0.6.0:
|
||||
version "0.6.0"
|
||||
resolved "https://registry.yarnpkg.com/leac/-/leac-0.6.0.tgz#dcf136e382e666bd2475f44a1096061b70dc0912"
|
||||
@ -2082,13 +2161,6 @@ mimic-response@^3.1.0:
|
||||
resolved "https://registry.yarnpkg.com/mimic-response/-/mimic-response-3.1.0.tgz#2d1d59af9c1b129815accc2c46a022a5ce1fa3c9"
|
||||
integrity sha512-z0yWI+4FDrrweS8Zmt4Ej5HdJmky15+L2e6Wgn3+iK5fWzb6T3fhNFq2+MeTRb064c6Wr4N/wv0DzQTjNzHNGQ==
|
||||
|
||||
minimatch@5.1.0:
|
||||
version "5.1.0"
|
||||
resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-5.1.0.tgz#1717b464f4971b144f6aabe8f2d0b8e4511e09c7"
|
||||
integrity sha512-9TPBGGak4nHfGZsPBohm9AWg6NoT7QTCehS3BIJABslyZbzxfV78QM2Y6+i741OPZIafFAaiiEMh5OyIrJPgtg==
|
||||
dependencies:
|
||||
brace-expansion "^2.0.1"
|
||||
|
||||
minimatch@^3.1.1, minimatch@^3.1.2:
|
||||
version "3.1.2"
|
||||
resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.1.2.tgz#19cd194bfd3e428f049a70817c038d89ab4be35b"
|
||||
@ -2417,6 +2489,19 @@ openai@^4.32.1:
|
||||
node-fetch "^2.6.7"
|
||||
web-streams-polyfill "^3.2.1"
|
||||
|
||||
openai@^4.49.1:
|
||||
version "4.54.0"
|
||||
resolved "https://registry.yarnpkg.com/openai/-/openai-4.54.0.tgz#eeb209c6892b997e524181b6ddb7e27bf4d09389"
|
||||
integrity sha512-e/12BdtTtj+tXs7iHm+Dm7H7WjEWnw7O52B2wSfCQ6lD5F6cvjzo7cANXy5TJ1Q3/qc8YRPT5wBTTFtP5sBp1g==
|
||||
dependencies:
|
||||
"@types/node" "^18.11.18"
|
||||
"@types/node-fetch" "^2.6.4"
|
||||
abort-controller "^3.0.0"
|
||||
agentkeepalive "^4.2.1"
|
||||
form-data-encoder "1.7.2"
|
||||
formdata-node "^4.3.2"
|
||||
node-fetch "^2.6.7"
|
||||
|
||||
openapi-types@^12.1.3:
|
||||
version "12.1.3"
|
||||
resolved "https://registry.yarnpkg.com/openapi-types/-/openapi-types-12.1.3.tgz#471995eb26c4b97b7bd356aacf7b91b73e777dd3"
|
||||
@ -2863,6 +2948,11 @@ semver@^7.3.5, semver@^7.5.4:
|
||||
dependencies:
|
||||
lru-cache "^6.0.0"
|
||||
|
||||
semver@^7.6.3:
|
||||
version "7.6.3"
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-7.6.3.tgz#980f7b5550bc175fb4dc09403085627f9eb33143"
|
||||
integrity sha512-oVekP1cKtI+CTDvHWYFUcMtsK/00wmAEfyqKfNdARm8u1wNVhSgaX7A8d4UuIlUI5e84iEwOhs7ZPYRmzU9U6A==
|
||||
|
||||
semver@~7.0.0:
|
||||
version "7.0.0"
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-7.0.0.tgz#5f3ca35761e47e05b206c6daff2cf814f0316b8e"
|
||||
@ -3336,6 +3426,11 @@ utils-merge@1.0.1:
|
||||
resolved "https://registry.yarnpkg.com/utils-merge/-/utils-merge-1.0.1.tgz#9f95710f50a267947b2ccc124741c1028427e713"
|
||||
integrity sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA==
|
||||
|
||||
uuid@^10.0.0:
|
||||
version "10.0.0"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
|
||||
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
|
||||
|
||||
uuid@^9.0.0:
|
||||
version "9.0.1"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-9.0.1.tgz#e188d4c8853cc722220392c424cd637f32293f30"
|
||||
|
||||
100
frontend/src/components/LLMSelection/DeepSeekOptions/index.jsx
Normal file
100
frontend/src/components/LLMSelection/DeepSeekOptions/index.jsx
Normal file
@ -0,0 +1,100 @@
|
||||
import { useState, useEffect } from "react";
|
||||
import System from "@/models/system";
|
||||
|
||||
export default function DeepSeekOptions({ settings }) {
|
||||
const [inputValue, setInputValue] = useState(settings?.DeepSeekApiKey);
|
||||
const [deepSeekApiKey, setDeepSeekApiKey] = useState(
|
||||
settings?.DeepSeekApiKey
|
||||
);
|
||||
|
||||
return (
|
||||
<div className="flex gap-[36px] mt-1.5">
|
||||
<div className="flex flex-col w-60">
|
||||
<label className="text-white text-sm font-semibold block mb-3">
|
||||
API Key
|
||||
</label>
|
||||
<input
|
||||
type="password"
|
||||
name="DeepSeekApiKey"
|
||||
className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:outline-primary-button active:outline-primary-button outline-none block w-full p-2.5"
|
||||
placeholder="DeepSeek API Key"
|
||||
defaultValue={settings?.DeepSeekApiKey ? "*".repeat(20) : ""}
|
||||
required={true}
|
||||
autoComplete="off"
|
||||
spellCheck={false}
|
||||
onChange={(e) => setInputValue(e.target.value)}
|
||||
onBlur={() => setDeepSeekApiKey(inputValue)}
|
||||
/>
|
||||
</div>
|
||||
{!settings?.credentialsOnly && (
|
||||
<DeepSeekModelSelection settings={settings} apiKey={deepSeekApiKey} />
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
function DeepSeekModelSelection({ apiKey, settings }) {
|
||||
const [models, setModels] = useState([]);
|
||||
const [loading, setLoading] = useState(true);
|
||||
|
||||
useEffect(() => {
|
||||
async function findCustomModels() {
|
||||
if (!apiKey) {
|
||||
setModels([]);
|
||||
setLoading(true);
|
||||
return;
|
||||
}
|
||||
|
||||
setLoading(true);
|
||||
const { models } = await System.customModels(
|
||||
"deepseek",
|
||||
typeof apiKey === "boolean" ? null : apiKey
|
||||
);
|
||||
setModels(models || []);
|
||||
setLoading(false);
|
||||
}
|
||||
findCustomModels();
|
||||
}, [apiKey]);
|
||||
|
||||
if (loading) {
|
||||
return (
|
||||
<div className="flex flex-col w-60">
|
||||
<label className="text-white text-sm font-semibold block mb-3">
|
||||
Chat Model Selection
|
||||
</label>
|
||||
<select
|
||||
name="DeepSeekModelPref"
|
||||
disabled={true}
|
||||
className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
|
||||
>
|
||||
<option disabled={true} selected={true}>
|
||||
-- loading available models --
|
||||
</option>
|
||||
</select>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="flex flex-col w-60">
|
||||
<label className="text-white text-sm font-semibold block mb-3">
|
||||
Chat Model Selection
|
||||
</label>
|
||||
<select
|
||||
name="DeepSeekModelPref"
|
||||
required={true}
|
||||
className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
|
||||
>
|
||||
{models.map((model) => (
|
||||
<option
|
||||
key={model.id}
|
||||
value={model.id}
|
||||
selected={settings?.DeepSeekModelPref === model.id}
|
||||
>
|
||||
{model.name}
|
||||
</option>
|
||||
))}
|
||||
</select>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@ -26,6 +26,7 @@ export default function ConfluenceOptions() {
|
||||
spaceKey: form.get("spaceKey"),
|
||||
username: form.get("username"),
|
||||
accessToken: form.get("accessToken"),
|
||||
cloud: form.get("isCloud") === "true",
|
||||
});
|
||||
|
||||
if (!!error) {
|
||||
@ -54,6 +55,31 @@ export default function ConfluenceOptions() {
|
||||
<form className="w-full" onSubmit={handleSubmit}>
|
||||
<div className="w-full flex flex-col py-2">
|
||||
<div className="w-full flex flex-col gap-4">
|
||||
<div className="flex flex-col pr-10">
|
||||
<div className="flex flex-col gap-y-1 mb-4">
|
||||
<label className="text-white text-sm font-bold flex gap-x-2 items-center">
|
||||
<p className="font-bold text-white">
|
||||
Confluence deployment type
|
||||
</p>
|
||||
</label>
|
||||
<p className="text-xs font-normal text-white/50">
|
||||
Determine if your Confluence instance is hosted on Atlassian
|
||||
cloud or self-hosted.
|
||||
</p>
|
||||
</div>
|
||||
<select
|
||||
name="isCloud"
|
||||
className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:outline-primary-button active:outline-primary-button outline-none block w-full p-2.5"
|
||||
required={true}
|
||||
autoComplete="off"
|
||||
spellCheck={false}
|
||||
defaultValue="true"
|
||||
>
|
||||
<option value="true">Atlassian Cloud</option>
|
||||
<option value="false">Self-hosted</option>
|
||||
</select>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-col pr-10">
|
||||
<div className="flex flex-col gap-y-1 mb-4">
|
||||
<label className="text-white text-sm font-bold flex gap-x-2 items-center">
|
||||
@ -103,7 +129,7 @@ export default function ConfluenceOptions() {
|
||||
</p>
|
||||
</div>
|
||||
<input
|
||||
type="email"
|
||||
type="text"
|
||||
name="username"
|
||||
className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:outline-primary-button active:outline-primary-button outline-none block w-full p-2.5"
|
||||
placeholder="jdoe@example.com"
|
||||
|
||||
@ -34,6 +34,7 @@ export default function GitlabOptions() {
|
||||
accessToken: form.get("accessToken"),
|
||||
branch: form.get("branch"),
|
||||
ignorePaths: ignores,
|
||||
fetchIssues: form.get("fetchIssues"),
|
||||
});
|
||||
|
||||
if (!!error) {
|
||||
@ -112,6 +113,30 @@ export default function GitlabOptions() {
|
||||
onBlur={() => setSettings({ ...settings, accessToken })}
|
||||
/>
|
||||
</div>
|
||||
<div className="flex flex-col pr-10">
|
||||
<div className="flex flex-col gap-y-1 mb-4">
|
||||
<label className="text-white font-bold text-sm flex gap-x-2 items-center">
|
||||
<p className="font-bold text-white">Settings</p>{" "}
|
||||
</label>
|
||||
<p className="text-xs font-normal text-white/50">
|
||||
Select additional entities to fetch from the GitLab API.
|
||||
</p>
|
||||
</div>
|
||||
<div className="flex items-center gap-x-2">
|
||||
<label className="relative inline-flex cursor-pointer items-center">
|
||||
<input
|
||||
type="checkbox"
|
||||
name="fetchIssues"
|
||||
value={true}
|
||||
className="peer sr-only"
|
||||
/>
|
||||
<div className="pointer-events-none peer h-6 w-11 rounded-full bg-stone-400 after:absolute after:left-[2px] after:top-[2px] after:h-5 after:w-5 after:rounded-full after:shadow-xl after:border after:border-gray-600 after:bg-white after:box-shadow-md after:transition-all after:content-[''] peer-checked:bg-lime-300 peer-checked:after:translate-x-full peer-checked:after:border-white peer-focus:outline-none peer-focus:ring-4 peer-focus:ring-blue-800"></div>
|
||||
<span className="ml-3 text-sm font-medium text-white">
|
||||
Fetch Issues as Documents
|
||||
</span>
|
||||
</label>
|
||||
</div>
|
||||
</div>
|
||||
<GitLabBranchSelection
|
||||
repo={settings.repo}
|
||||
accessToken={settings.accessToken}
|
||||
|
||||
BIN
frontend/src/media/llmprovider/deepseek.png
Normal file
BIN
frontend/src/media/llmprovider/deepseek.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 30 KiB |
@ -64,11 +64,23 @@ const DataConnector = {
|
||||
return { branches: [], error: e.message };
|
||||
});
|
||||
},
|
||||
collect: async function ({ repo, accessToken, branch, ignorePaths = [] }) {
|
||||
collect: async function ({
|
||||
repo,
|
||||
accessToken,
|
||||
branch,
|
||||
ignorePaths = [],
|
||||
fetchIssues = false,
|
||||
}) {
|
||||
return await fetch(`${API_BASE}/ext/gitlab/repo`, {
|
||||
method: "POST",
|
||||
headers: baseHeaders(),
|
||||
body: JSON.stringify({ repo, accessToken, branch, ignorePaths }),
|
||||
body: JSON.stringify({
|
||||
repo,
|
||||
accessToken,
|
||||
branch,
|
||||
ignorePaths,
|
||||
fetchIssues,
|
||||
}),
|
||||
})
|
||||
.then((res) => res.json())
|
||||
.then((res) => {
|
||||
@ -119,7 +131,13 @@ const DataConnector = {
|
||||
},
|
||||
|
||||
confluence: {
|
||||
collect: async function ({ baseUrl, spaceKey, username, accessToken }) {
|
||||
collect: async function ({
|
||||
baseUrl,
|
||||
spaceKey,
|
||||
username,
|
||||
accessToken,
|
||||
cloud,
|
||||
}) {
|
||||
return await fetch(`${API_BASE}/ext/confluence`, {
|
||||
method: "POST",
|
||||
headers: baseHeaders(),
|
||||
@ -128,6 +146,7 @@ const DataConnector = {
|
||||
spaceKey,
|
||||
username,
|
||||
accessToken,
|
||||
cloud,
|
||||
}),
|
||||
})
|
||||
.then((res) => res.json())
|
||||
|
||||
@ -24,6 +24,7 @@ import TextGenWebUILogo from "@/media/llmprovider/text-generation-webui.png";
|
||||
import CohereLogo from "@/media/llmprovider/cohere.png";
|
||||
import LiteLLMLogo from "@/media/llmprovider/litellm.png";
|
||||
import AWSBedrockLogo from "@/media/llmprovider/bedrock.png";
|
||||
import DeepSeekLogo from "@/media/llmprovider/deepseek.png";
|
||||
|
||||
import PreLoader from "@/components/Preloader";
|
||||
import OpenAiOptions from "@/components/LLMSelection/OpenAiOptions";
|
||||
@ -46,6 +47,7 @@ import KoboldCPPOptions from "@/components/LLMSelection/KoboldCPPOptions";
|
||||
import TextGenWebUIOptions from "@/components/LLMSelection/TextGenWebUIOptions";
|
||||
import LiteLLMOptions from "@/components/LLMSelection/LiteLLMOptions";
|
||||
import AWSBedrockLLMOptions from "@/components/LLMSelection/AwsBedrockLLMOptions";
|
||||
import DeepSeekOptions from "@/components/LLMSelection/DeepSeekOptions";
|
||||
|
||||
import LLMItem from "@/components/LLMSelection/LLMItem";
|
||||
import { CaretUpDown, MagnifyingGlass, X } from "@phosphor-icons/react";
|
||||
@ -209,6 +211,14 @@ export const AVAILABLE_LLM_PROVIDERS = [
|
||||
description: "Run LiteLLM's OpenAI compatible proxy for various LLMs.",
|
||||
requiredConfig: ["LiteLLMBasePath"],
|
||||
},
|
||||
{
|
||||
name: "DeepSeek",
|
||||
value: "deepseek",
|
||||
logo: DeepSeekLogo,
|
||||
options: (settings) => <DeepSeekOptions settings={settings} />,
|
||||
description: "Run DeepSeek's powerful LLMs.",
|
||||
requiredConfig: ["DeepSeekApiKey"],
|
||||
},
|
||||
{
|
||||
name: "Generic OpenAI",
|
||||
value: "generic-openai",
|
||||
|
||||
@ -20,6 +20,7 @@ import KoboldCPPLogo from "@/media/llmprovider/koboldcpp.png";
|
||||
import TextGenWebUILogo from "@/media/llmprovider/text-generation-webui.png";
|
||||
import LiteLLMLogo from "@/media/llmprovider/litellm.png";
|
||||
import AWSBedrockLogo from "@/media/llmprovider/bedrock.png";
|
||||
import DeepSeekLogo from "@/media/llmprovider/deepseek.png";
|
||||
|
||||
import CohereLogo from "@/media/llmprovider/cohere.png";
|
||||
import ZillizLogo from "@/media/vectordbs/zilliz.png";
|
||||
@ -196,6 +197,11 @@ export const LLM_SELECTION_PRIVACY = {
|
||||
],
|
||||
logo: AWSBedrockLogo,
|
||||
},
|
||||
deepseek: {
|
||||
name: "DeepSeek",
|
||||
description: ["Your model and chat contents are visible to DeepSeek"],
|
||||
logo: DeepSeekLogo,
|
||||
},
|
||||
};
|
||||
|
||||
export const VECTOR_DB_PRIVACY = {
|
||||
|
||||
@ -19,6 +19,7 @@ import KoboldCPPLogo from "@/media/llmprovider/koboldcpp.png";
|
||||
import TextGenWebUILogo from "@/media/llmprovider/text-generation-webui.png";
|
||||
import LiteLLMLogo from "@/media/llmprovider/litellm.png";
|
||||
import AWSBedrockLogo from "@/media/llmprovider/bedrock.png";
|
||||
import DeepSeekLogo from "@/media/llmprovider/deepseek.png";
|
||||
|
||||
import CohereLogo from "@/media/llmprovider/cohere.png";
|
||||
import OpenAiOptions from "@/components/LLMSelection/OpenAiOptions";
|
||||
@ -41,6 +42,7 @@ import KoboldCPPOptions from "@/components/LLMSelection/KoboldCPPOptions";
|
||||
import TextGenWebUIOptions from "@/components/LLMSelection/TextGenWebUIOptions";
|
||||
import LiteLLMOptions from "@/components/LLMSelection/LiteLLMOptions";
|
||||
import AWSBedrockLLMOptions from "@/components/LLMSelection/AwsBedrockLLMOptions";
|
||||
import DeepSeekOptions from "@/components/LLMSelection/DeepSeekOptions";
|
||||
|
||||
import LLMItem from "@/components/LLMSelection/LLMItem";
|
||||
import System from "@/models/system";
|
||||
@ -184,6 +186,13 @@ const LLMS = [
|
||||
options: (settings) => <LiteLLMOptions settings={settings} />,
|
||||
description: "Run LiteLLM's OpenAI compatible proxy for various LLMs.",
|
||||
},
|
||||
{
|
||||
name: "DeepSeek",
|
||||
value: "deepseek",
|
||||
logo: DeepSeekLogo,
|
||||
options: (settings) => <DeepSeekOptions settings={settings} />,
|
||||
description: "Run DeepSeek's powerful LLMs.",
|
||||
},
|
||||
{
|
||||
name: "Generic OpenAI",
|
||||
value: "generic-openai",
|
||||
|
||||
@ -23,6 +23,7 @@ const ENABLED_PROVIDERS = [
|
||||
"generic-openai",
|
||||
"bedrock",
|
||||
"fireworksai",
|
||||
"deepseek",
|
||||
// TODO: More agent support.
|
||||
// "cohere", // Has tool calling and will need to build explicit support
|
||||
// "huggingface" // Can be done but already has issues with no-chat templated. Needs to be tested.
|
||||
|
||||
@ -511,6 +511,10 @@ const SystemSettings = {
|
||||
|
||||
// VoyageAi API Keys
|
||||
VoyageAiApiKey: !!process.env.VOYAGEAI_API_KEY,
|
||||
|
||||
// DeepSeek API Keys
|
||||
DeepSeekApiKey: !!process.env.DEEPSEEK_API_KEY,
|
||||
DeepSeekModelPref: process.env.DEEPSEEK_MODEL_PREF,
|
||||
};
|
||||
},
|
||||
|
||||
|
||||
127
server/utils/AiProviders/deepseek/index.js
Normal file
127
server/utils/AiProviders/deepseek/index.js
Normal file
@ -0,0 +1,127 @@
|
||||
const { NativeEmbedder } = require("../../EmbeddingEngines/native");
|
||||
const {
|
||||
handleDefaultStreamResponseV2,
|
||||
} = require("../../helpers/chat/responses");
|
||||
const { MODEL_MAP } = require("../modelMap");
|
||||
|
||||
class DeepSeekLLM {
|
||||
constructor(embedder = null, modelPreference = null) {
|
||||
if (!process.env.DEEPSEEK_API_KEY)
|
||||
throw new Error("No DeepSeek API key was set.");
|
||||
const { OpenAI: OpenAIApi } = require("openai");
|
||||
|
||||
this.openai = new OpenAIApi({
|
||||
apiKey: process.env.DEEPSEEK_API_KEY,
|
||||
baseURL: "https://api.deepseek.com/v1",
|
||||
});
|
||||
this.model =
|
||||
modelPreference || process.env.DEEPSEEK_MODEL_PREF || "deepseek-chat";
|
||||
this.limits = {
|
||||
history: this.promptWindowLimit() * 0.15,
|
||||
system: this.promptWindowLimit() * 0.15,
|
||||
user: this.promptWindowLimit() * 0.7,
|
||||
};
|
||||
|
||||
this.embedder = embedder ?? new NativeEmbedder();
|
||||
this.defaultTemp = 0.7;
|
||||
}
|
||||
|
||||
#appendContext(contextTexts = []) {
|
||||
if (!contextTexts || !contextTexts.length) return "";
|
||||
return (
|
||||
"\nContext:\n" +
|
||||
contextTexts
|
||||
.map((text, i) => {
|
||||
return `[CONTEXT ${i}]:\n${text}\n[END CONTEXT ${i}]\n\n`;
|
||||
})
|
||||
.join("")
|
||||
);
|
||||
}
|
||||
|
||||
streamingEnabled() {
|
||||
return "streamGetChatCompletion" in this;
|
||||
}
|
||||
|
||||
static promptWindowLimit(modelName) {
|
||||
return MODEL_MAP.deepseek[modelName] ?? 8192;
|
||||
}
|
||||
|
||||
promptWindowLimit() {
|
||||
return MODEL_MAP.deepseek[this.model] ?? 8192;
|
||||
}
|
||||
|
||||
async isValidChatCompletionModel(modelName = "") {
|
||||
const models = await this.openai.models.list().catch(() => ({ data: [] }));
|
||||
return models.data.some((model) => model.id === modelName);
|
||||
}
|
||||
|
||||
constructPrompt({
|
||||
systemPrompt = "",
|
||||
contextTexts = [],
|
||||
chatHistory = [],
|
||||
userPrompt = "",
|
||||
}) {
|
||||
const prompt = {
|
||||
role: "system",
|
||||
content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
|
||||
};
|
||||
return [prompt, ...chatHistory, { role: "user", content: userPrompt }];
|
||||
}
|
||||
|
||||
async getChatCompletion(messages = null, { temperature = 0.7 }) {
|
||||
if (!(await this.isValidChatCompletionModel(this.model)))
|
||||
throw new Error(
|
||||
`DeepSeek chat: ${this.model} is not valid for chat completion!`
|
||||
);
|
||||
|
||||
const result = await this.openai.chat.completions
|
||||
.create({
|
||||
model: this.model,
|
||||
messages,
|
||||
temperature,
|
||||
})
|
||||
.catch((e) => {
|
||||
throw new Error(e.message);
|
||||
});
|
||||
|
||||
if (!result.hasOwnProperty("choices") || result.choices.length === 0)
|
||||
return null;
|
||||
return result.choices[0].message.content;
|
||||
}
|
||||
|
||||
async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
|
||||
if (!(await this.isValidChatCompletionModel(this.model)))
|
||||
throw new Error(
|
||||
`DeepSeek chat: ${this.model} is not valid for chat completion!`
|
||||
);
|
||||
|
||||
const streamRequest = await this.openai.chat.completions.create({
|
||||
model: this.model,
|
||||
stream: true,
|
||||
messages,
|
||||
temperature,
|
||||
});
|
||||
return streamRequest;
|
||||
}
|
||||
|
||||
handleStream(response, stream, responseProps) {
|
||||
return handleDefaultStreamResponseV2(response, stream, responseProps);
|
||||
}
|
||||
|
||||
async embedTextInput(textInput) {
|
||||
return await this.embedder.embedTextInput(textInput);
|
||||
}
|
||||
async embedChunks(textChunks = []) {
|
||||
return await this.embedder.embedChunks(textChunks);
|
||||
}
|
||||
|
||||
async compressMessages(promptArgs = {}, rawHistory = []) {
|
||||
const { messageArrayCompressor } = require("../../helpers/chat");
|
||||
const messageArray = this.constructPrompt(promptArgs);
|
||||
return await messageArrayCompressor(this, messageArray, rawHistory);
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
DeepSeekLLM,
|
||||
};
|
||||
@ -53,6 +53,10 @@ const MODEL_MAP = {
|
||||
"gpt-4": 8_192,
|
||||
"gpt-4-32k": 32_000,
|
||||
},
|
||||
deepseek: {
|
||||
"deepseek-chat": 128_000,
|
||||
"deepseek-coder": 128_000,
|
||||
},
|
||||
};
|
||||
|
||||
module.exports = { MODEL_MAP };
|
||||
|
||||
@ -783,6 +783,8 @@ ${this.getHistory({ to: route.to })
|
||||
return new Providers.AWSBedrockProvider({});
|
||||
case "fireworksai":
|
||||
return new Providers.FireworksAIProvider({ model: config.model });
|
||||
case "deepseek":
|
||||
return new Providers.DeepSeekProvider({ model: config.model });
|
||||
|
||||
default:
|
||||
throw new Error(
|
||||
|
||||
@ -174,6 +174,14 @@ class Provider {
|
||||
apiKey: process.env.TEXT_GEN_WEB_UI_API_KEY ?? "not-used",
|
||||
...config,
|
||||
});
|
||||
case "deepseek":
|
||||
return new ChatOpenAI({
|
||||
configuration: {
|
||||
baseURL: "https://api.deepseek.com/v1",
|
||||
},
|
||||
apiKey: process.env.DEEPSEEK_API_KEY ?? null,
|
||||
...config,
|
||||
});
|
||||
default:
|
||||
throw new Error(`Unsupported provider ${provider} for this task.`);
|
||||
}
|
||||
|
||||
118
server/utils/agents/aibitat/providers/deepseek.js
Normal file
118
server/utils/agents/aibitat/providers/deepseek.js
Normal file
@ -0,0 +1,118 @@
|
||||
const OpenAI = require("openai");
|
||||
const Provider = require("./ai-provider.js");
|
||||
const InheritMultiple = require("./helpers/classes.js");
|
||||
const UnTooled = require("./helpers/untooled.js");
|
||||
const { toValidNumber } = require("../../../http/index.js");
|
||||
|
||||
class DeepSeekProvider extends InheritMultiple([Provider, UnTooled]) {
|
||||
model;
|
||||
|
||||
constructor(config = {}) {
|
||||
super();
|
||||
const { model = "deepseek-chat" } = config;
|
||||
const client = new OpenAI({
|
||||
baseURL: "https://api.deepseek.com/v1",
|
||||
apiKey: process.env.DEEPSEEK_API_KEY ?? null,
|
||||
maxRetries: 3,
|
||||
});
|
||||
|
||||
this._client = client;
|
||||
this.model = model;
|
||||
this.verbose = true;
|
||||
this.maxTokens = process.env.DEEPSEEK_MAX_TOKENS
|
||||
? toValidNumber(process.env.DEEPSEEK_MAX_TOKENS, 1024)
|
||||
: 1024;
|
||||
}
|
||||
|
||||
get client() {
|
||||
return this._client;
|
||||
}
|
||||
|
||||
async #handleFunctionCallChat({ messages = [] }) {
|
||||
return await this.client.chat.completions
|
||||
.create({
|
||||
model: this.model,
|
||||
temperature: 0,
|
||||
messages,
|
||||
max_tokens: this.maxTokens,
|
||||
})
|
||||
.then((result) => {
|
||||
if (!result.hasOwnProperty("choices"))
|
||||
throw new Error("DeepSeek chat: No results!");
|
||||
if (result.choices.length === 0)
|
||||
throw new Error("DeepSeek chat: No results length!");
|
||||
return result.choices[0].message.content;
|
||||
})
|
||||
.catch((_) => {
|
||||
return null;
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* Create a completion based on the received messages.
|
||||
*
|
||||
* @param messages A list of messages to send to the API.
|
||||
* @param functions
|
||||
* @returns The completion.
|
||||
*/
|
||||
async complete(messages, functions = null) {
|
||||
try {
|
||||
let completion;
|
||||
if (functions.length > 0) {
|
||||
const { toolCall, text } = await this.functionCall(
|
||||
messages,
|
||||
functions,
|
||||
this.#handleFunctionCallChat.bind(this)
|
||||
);
|
||||
|
||||
if (toolCall !== null) {
|
||||
this.providerLog(`Valid tool call found - running ${toolCall.name}.`);
|
||||
this.deduplicator.trackRun(toolCall.name, toolCall.arguments);
|
||||
return {
|
||||
result: null,
|
||||
functionCall: {
|
||||
name: toolCall.name,
|
||||
arguments: toolCall.arguments,
|
||||
},
|
||||
cost: 0,
|
||||
};
|
||||
}
|
||||
completion = { content: text };
|
||||
}
|
||||
|
||||
if (!completion?.content) {
|
||||
this.providerLog(
|
||||
"Will assume chat completion without tool call inputs."
|
||||
);
|
||||
const response = await this.client.chat.completions.create({
|
||||
model: this.model,
|
||||
messages: this.cleanMsgs(messages),
|
||||
});
|
||||
completion = response.choices[0].message;
|
||||
}
|
||||
|
||||
// The UnTooled class inherited Deduplicator is mostly useful to prevent the agent
|
||||
// from calling the exact same function over and over in a loop within a single chat exchange
|
||||
// _but_ we should enable it to call previously used tools in a new chat interaction.
|
||||
this.deduplicator.reset("runs");
|
||||
return {
|
||||
result: completion.content,
|
||||
cost: 0,
|
||||
};
|
||||
} catch (error) {
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the cost of the completion.
|
||||
*
|
||||
* @param _usage The completion to get the cost for.
|
||||
* @returns The cost of the completion.
|
||||
*/
|
||||
getCost(_usage) {
|
||||
return 0;
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = DeepSeekProvider;
|
||||
@ -14,6 +14,7 @@ const PerplexityProvider = require("./perplexity.js");
|
||||
const TextWebGenUiProvider = require("./textgenwebui.js");
|
||||
const AWSBedrockProvider = require("./bedrock.js");
|
||||
const FireworksAIProvider = require("./fireworksai.js");
|
||||
const DeepSeekProvider = require("./deepseek.js");
|
||||
|
||||
module.exports = {
|
||||
OpenAIProvider,
|
||||
@ -28,6 +29,7 @@ module.exports = {
|
||||
OpenRouterProvider,
|
||||
MistralProvider,
|
||||
GenericOpenAiProvider,
|
||||
DeepSeekProvider,
|
||||
PerplexityProvider,
|
||||
TextWebGenUiProvider,
|
||||
AWSBedrockProvider,
|
||||
|
||||
@ -162,6 +162,10 @@ class AgentHandler {
|
||||
"FireworksAI API Key must be provided to use agents."
|
||||
);
|
||||
break;
|
||||
case "deepseek":
|
||||
if (!process.env.DEEPSEEK_API_KEY)
|
||||
throw new Error("DeepSeek API Key must be provided to use agents.");
|
||||
break;
|
||||
|
||||
default:
|
||||
throw new Error(
|
||||
@ -206,6 +210,8 @@ class AgentHandler {
|
||||
return null;
|
||||
case "fireworksai":
|
||||
return null;
|
||||
case "deepseek":
|
||||
return "deepseek-chat";
|
||||
default:
|
||||
return "unknown";
|
||||
}
|
||||
|
||||
@ -18,6 +18,7 @@ const SUPPORT_CUSTOM_MODELS = [
|
||||
"litellm",
|
||||
"elevenlabs-tts",
|
||||
"groq",
|
||||
"deepseek",
|
||||
];
|
||||
|
||||
async function getCustomModels(provider = "", apiKey = null, basePath = null) {
|
||||
@ -53,6 +54,8 @@ async function getCustomModels(provider = "", apiKey = null, basePath = null) {
|
||||
return await getElevenLabsModels(apiKey);
|
||||
case "groq":
|
||||
return await getGroqAiModels(apiKey);
|
||||
case "deepseek":
|
||||
return await getDeepSeekModels(apiKey);
|
||||
default:
|
||||
return { models: [], error: "Invalid provider for custom models" };
|
||||
}
|
||||
@ -419,6 +422,31 @@ async function getElevenLabsModels(apiKey = null) {
|
||||
return { models, error: null };
|
||||
}
|
||||
|
||||
async function getDeepSeekModels(apiKey = null) {
|
||||
const { OpenAI: OpenAIApi } = require("openai");
|
||||
const openai = new OpenAIApi({
|
||||
apiKey: apiKey || process.env.DEEPSEEK_API_KEY,
|
||||
baseURL: "https://api.deepseek.com/v1",
|
||||
});
|
||||
const models = await openai.models
|
||||
.list()
|
||||
.then((results) => results.data)
|
||||
.then((models) =>
|
||||
models.map((model) => ({
|
||||
id: model.id,
|
||||
name: model.id,
|
||||
organization: model.owned_by,
|
||||
}))
|
||||
)
|
||||
.catch((e) => {
|
||||
console.error(`DeepSeek:listModels`, e.message);
|
||||
return [];
|
||||
});
|
||||
|
||||
if (models.length > 0 && !!apiKey) process.env.DEEPSEEK_API_KEY = apiKey;
|
||||
return { models, error: null };
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
getCustomModels,
|
||||
};
|
||||
|
||||
@ -159,6 +159,9 @@ function getLLMProvider({ provider = null, model = null } = {}) {
|
||||
case "bedrock":
|
||||
const { AWSBedrockLLM } = require("../AiProviders/bedrock");
|
||||
return new AWSBedrockLLM(embedder, model);
|
||||
case "deepseek":
|
||||
const { DeepSeekLLM } = require("../AiProviders/deepseek");
|
||||
return new DeepSeekLLM(embedder, model);
|
||||
default:
|
||||
throw new Error(
|
||||
`ENV: No valid LLM_PROVIDER value found in environment! Using ${process.env.LLM_PROVIDER}`
|
||||
|
||||
@ -501,6 +501,16 @@ const KEY_MAPPING = {
|
||||
envKey: "TTS_PIPER_VOICE_MODEL",
|
||||
checks: [],
|
||||
},
|
||||
|
||||
// DeepSeek Options
|
||||
DeepSeekApiKey: {
|
||||
envKey: "DEEPSEEK_API_KEY",
|
||||
checks: [isNotEmpty],
|
||||
},
|
||||
DeepSeekModelPref: {
|
||||
envKey: "DEEPSEEK_MODEL_PREF",
|
||||
checks: [isNotEmpty],
|
||||
},
|
||||
};
|
||||
|
||||
function isNotEmpty(input = "") {
|
||||
@ -602,6 +612,7 @@ function supportedLLM(input = "") {
|
||||
"litellm",
|
||||
"generic-openai",
|
||||
"bedrock",
|
||||
"deepseek",
|
||||
].includes(input);
|
||||
return validSelection ? null : `${input} is not a valid LLM provider.`;
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue
Block a user