diff --git a/copilot_changes.txt b/copilot_changes.txt
new file mode 100644
index 000000000..4b8b510a2
--- /dev/null
+++ b/copilot_changes.txt
@@ -0,0 +1,824 @@
+diff --git a/extralit-frontend/components/base/base-render-table/RenderTable.vue b/extralit-frontend/components/base/base-render-table/RenderTable.vue
+index ff6874489..ab73e5afb 100644
+--- a/extralit-frontend/components/base/base-render-table/RenderTable.vue
++++ b/extralit-frontend/components/base/base-render-table/RenderTable.vue
+@@ -150,6 +150,7 @@ export default {
+     //     }
+     //   },
+     // },
++
+     validation: {
+       handler(newValidation, oldValidation) {
+         if (this.isLoaded) {
+@@ -196,7 +197,7 @@ export default {
+       var configs = this.tableJSON.schema.fields.map((column: DataFrameField) => {
+         const commonConfig = this.generateColumnConfig(column.name);
+         const editableConfig = this.generateColumnEditableConfig(column.name);
+-        return { ...commonConfig, ...editableConfig };
++        return { ...commonConfig, ...editableConfig, ...column };
+       });
+
+       if (!this.editable) {
+@@ -913,6 +914,7 @@ export default {
+
+         this.tabulator.on("cellEdited", (cell: CellComponent) => {
+           this.updateTableJsonData();
++          this.$emit("cell-edited", cell);
+           // const rowPos: number | boolean = cell.getRow().getPosition();
+           // if (typeof rowPos != 'number' || rowPos < 0 || rowPos > this.tableJSON.data.length) return;
+           // this.$set(this.tableJSON.data[rowPos-1], cell.getColumn().getField(), cell.getValue());
+diff --git a/extralit-frontend/components/base/base-simple-table/BaseSimpleTable.vue b/extralit-frontend/components/base/base-simple-table/BaseSimpleTable.vue
+index 15a62bbc4..3a7e5435a 100644
+--- a/extralit-frontend/components/base/base-simple-table/BaseSimpleTable.vue
++++ b/extralit-frontend/components/base/base-simple-table/BaseSimpleTable.vue
+@@ -6,6 +6,7 @@
+       :editable="editable"
+       :hasValidValues="hasValidValues"
+       :questions="questions"
++      :validation="validation || validators"
+       @table-built="$emit('table-built')"
+       @row-click="(e, row) => $emit('row-click', e, row)"
+       @cell-edited="(cell) => $emit('cell-edited', cell)"
+@@ -71,9 +72,11 @@ export default {
+   computed: {
+     // Convert simple data/columns to TableData format for RenderTable
+     computedTableJSON(): TableData {
++      // FIX 1: Use "...col" to preserve editor config (dropdowns), validators, and freezing
+       const fields = this.columns.map((col: any) => ({
+         name: col.field,
+         type: col.type || "string",
++        ...col // <--- THIS IS THE MAGIC FIX
+       }));
+
+       const schema = new DataFrameSchema(
+@@ -89,7 +92,14 @@ export default {
+         null
+       );
+
+-      if (this.validation) {
++      // FIX 2: Handle both 'validation' and 'validators' props
++      // ImportFileUpload passes :validators, so we must prioritize that.
++      if (this.validators) {
++        // We wrap it in a structure RenderTable understands
++        tableData.validation = { columns: {}, ...this.validation };
++        // We might need to pass this directly to the RenderTable prop instead,
++        // but attaching it to tableData is the safest way for the Schema to know about it.
++      } else if (this.validation) {
+         tableData.validation = this.validation;
+       }
+
+diff --git a/extralit-frontend/components/features/import/analysis/useImportAnalysisTableViewModel.ts b/extralit-frontend/components/features/import/analysis/useImportAnalysisTableViewModel.ts
+index 99eb2e8eb..825cd0a6a 100644
+--- a/extralit-frontend/components/features/import/analysis/useImportAnalysisTableViewModel.ts
++++ b/extralit-frontend/components/features/import/analysis/useImportAnalysisTableViewModel.ts
+@@ -98,6 +98,8 @@ export const useImportAnalysisTableViewModel = (props: {
+       workspaceId: props.workspace?.id,
+       dataframeLength: props.dataframeData?.data?.length,
+       matchedFilesLength: props.pdfData?.matchedFiles?.length,
++      // Add deep watch on dataframe data to catch cell edits
++      dataframeDataHash: props.dataframeData ? JSON.stringify(props.dataframeData.data) : null,
+     }),
+     (newVal, oldVal) => {
+       // Only trigger if we have all required data and something actually changed
+@@ -107,7 +109,8 @@ export const useImportAnalysisTableViewModel = (props: {
+           !oldVal ||
+           newVal.workspaceId !== oldVal.workspaceId ||
+           newVal.dataframeLength !== oldVal.dataframeLength ||
+-          newVal.matchedFilesLength !== oldVal.matchedFilesLength
++          newVal.matchedFilesLength !== oldVal.matchedFilesLength ||
++          newVal.dataframeDataHash !== oldVal.dataframeDataHash
+         ) {
+           analyzeImport(props.workspace!, props.dataframeData!, props.pdfData!.matchedFiles);
+         }
+diff --git a/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue b/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue
+index 381d641e3..e594d8e90 100644
+--- a/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue
++++ b/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue
+@@ -12,6 +12,34 @@
+
+           <!-- Table Upload Section -->
+           <TableUpload :initial-data="bibData" @update="handleBibUpdate"  />
++
++          <!-- Editable Table for PDF-Only Upload -->
++          <div v-if="shouldShowEditableTable" class="import-file-upload__editable-table">
++            <div class="import-file-upload__editable-table-header">
++              <h3 class="import-file-upload__section-title">Reference Metadata</h3>
++              <p class="import-file-upload__section-description">
++                Create reference entries for your PDFs. The <strong>reference</strong> column must be unique, and you can select which PDFs to associate with each entry in the <strong>files</strong> column.
++              </p>
++            </div>
++
++            <BaseSimpleTable
++              ref="editableTable"
++              :data="editableTableData"
++              :columns="editableTableColumns"
++              :editable="true"
++              :validators="editableTableValidators"
++              @cell-edited="handleTableCellEdit"
++              @table-built="handleTableBuilt"
++            />
++
++            <!-- Unmapped PDFs Section -->
++            <div v-if="unmappedPdfFiles.length > 0" class="import-file-upload__unmapped-pdfs">
++              <h4>Unmapped PDF Files ({{ unmappedPdfFiles.length }})</h4>
++              <ul class="unmapped-files-list">
++                <li v-for="file in unmappedPdfFiles" :key="file">{{ file }}</li>
++              </ul>
++            </div>
++          </div>
+         </div>
+
+         <!-- Summary Sidebar -->
+@@ -24,6 +52,7 @@
+   import TableUpload from "./TableUpload.vue";
+   import PdfUpload from "./PdfUpload.vue";
+   import ImportSummarySidebar from "./ImportSummarySidebar.vue";
++  import BaseSimpleTable from "~/components/base/base-simple-table/BaseSimpleTable.vue";
+   import { useImportFileUploadViewModel } from "./useImportFileUploadViewModel";
+
+   export default {
+@@ -33,6 +62,7 @@
+       TableUpload,
+       PdfUpload,
+       ImportSummarySidebar,
++      BaseSimpleTable,
+     } as any,
+
+     props: {
+@@ -686,5 +716,68 @@
+         flex-direction: column;
+       }
+     }
++
++    // Editable Table Styles
++    &__editable-table {
++      display: flex;
++      flex-direction: column;
++      gap: $base-space * 2;
++      padding: $base-space * 3;
++      background: var(--bg-accent-grey-1);
++      border: 1px solid var(--border-field);
++      border-radius: $border-radius-m;
++    }
++
++    &__editable-table-header {
++      margin-bottom: $base-space;
++
++      .import-file-upload__section-title {
++        font-size: 1.2rem;
++        font-weight: 600;
++        margin-bottom: $base-space;
++        color: var(--fg-primary);
++      }
++
++      .import-file-upload__section-description {
++        color: var(--fg-secondary);
++        font-size: 0.9rem;
++        margin-bottom: 0;
++        line-height: 1.4;
++
++        strong {
++          color: var(--fg-primary);
++          font-weight: 600;
++        }
++      }
++    }
++
++    &__unmapped-pdfs {
++      margin-top: $base-space * 2;
++      padding: $base-space * 2;
++      background: var(--bg-banner-warning);
++      border: 1px solid var(--color-warning);
++      border-radius: $border-radius;
++
++      h4 {
++        margin: 0 0 $base-space 0;
++        color: var(--fg-primary);
++        font-size: 1rem;
++        font-weight: 600;
++      }
++
++      .unmapped-files-list {
++        margin: 0;
++        padding-left: $base-space * 3;
++        max-height: 200px;
++        overflow-y: auto;
++
++        li {
++          color: var(--fg-primary);
++          font-size: 0.9rem;
++          margin-bottom: calc($base-space / 2);
++          font-family: $quaternary-font-family;
++        }
++      }
++    }
+   }
+   </style>
+diff --git a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts
+new file mode 100644
+index 000000000..9cefe37c8
+--- /dev/null
++++ b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts
+@@ -0,0 +1,201 @@
++import { ref } from "@nuxtjs/composition-api";
++import { useImportFileUploadViewModel } from "./useImportFileUploadViewModel";
++
++// Mock the dependencies
++jest.mock("ts-injecty", () => ({
++  useResolve: jest.fn(),
++}));
++
++jest.mock("~/v1/domain/entities/table/TableData", () => ({
++  TableData: jest.fn().mockImplementation((data, schema, validation) => ({
++    data,
++    schema,
++    validation,
++  })),
++}));
++
++jest.mock("~/v1/domain/entities/table/Schema", () => ({
++  DataFrameSchema: jest.fn().mockImplementation((fields, primaryKey, foreignKeys, name) => ({
++    fields,
++    primaryKey,
++    foreignKeys,
++    name,
++  })),
++  DataFrameField: jest.fn(),
++}));
++
++jest.mock("~/v1/domain/entities/table/Validation", () => ({
++  Validators: jest.fn(),
++}));
++
++describe("useImportFileUploadViewModel", () => {
++  let emit: jest.Mock;
++  let props: any;
++
++  beforeEach(() => {
++    emit = jest.fn();
++    props = {
++      initialBibData: {
++        fileName: "",
++        dataframeData: null,
++        rawContent: "",
++      },
++      initialPdfData: {
++        matchedFiles: [],
++        unmatchedFiles: [],
++        totalFiles: 0,
++      },
++    };
++  });
++
++  describe("shouldShowEditableTable", () => {
++    it("should return true when PDFs are uploaded but no bibliography", () => {
++      const viewModel = useImportFileUploadViewModel(props, { emit });
++
++      // Simulate PDF upload
++      viewModel.handlePdfUpdate({
++        matchedFiles: [],
++        unmatchedFiles: [{ name: "test.pdf" }],
++        totalFiles: 1,
++      });
++
++      expect(viewModel.shouldShowEditableTable.value).toBe(true);
++    });
++
++    it("should return false when no PDFs are uploaded", () => {
++      const viewModel = useImportFileUploadViewModel(props, { emit });
++
++      expect(viewModel.shouldShowEditableTable.value).toBe(false);
++    });
++
++    it("should return false when bibliography is uploaded", () => {
++      const viewModel = useImportFileUploadViewModel(props, { emit });
++
++      // Simulate PDF upload
++      viewModel.handlePdfUpdate({
++        matchedFiles: [],
++        unmatchedFiles: [{ name: "test.pdf" }],
++        totalFiles: 1,
++      });
++
++      // Simulate bibliography upload
++      viewModel.handleBibUpdate({
++        fileName: "test.bib",
++        dataframeData: {
++          data: [{ reference: "test2023", title: "Test Paper" }],
++          schema: {},
++        },
++        rawContent: "",
++      });
++
++      expect(viewModel.shouldShowEditableTable.value).toBe(false);
++    });
++  });
++
++  describe("editableTableColumns", () => {
++    it("should include reference and files columns with proper configuration", () => {
++      const viewModel = useImportFileUploadViewModel(props, { emit });
++
++      // Simulate PDF upload
++      viewModel.handlePdfUpdate({
++        matchedFiles: [],
++        unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }],
++        totalFiles: 2,
++      });
++
++      const columns = viewModel.editableTableColumns.value;
++      const referenceCol = columns.find((col: any) => col.field === "reference");
++      const filesCol = columns.find((col: any) => col.field === "files");
++
++      expect(referenceCol).toBeDefined();
++      expect(referenceCol?.frozen).toBe(true);
++      expect(referenceCol?.validator).toContain("required");
++      expect(referenceCol?.validator).toContain("unique");
++
++      expect(filesCol).toBeDefined();
++      expect(filesCol?.editor).toBe("list");
++      expect(filesCol?.editorParams?.multiselect).toBe(true);
++      expect(filesCol?.editorParams?.values).toHaveLength(2);
++    });
++  });
++
++  describe("unmappedPdfFiles", () => {
++    it("should return all PDFs when no files are assigned", () => {
++      const viewModel = useImportFileUploadViewModel(props, { emit });
++
++      viewModel.handlePdfUpdate({
++        matchedFiles: [],
++        unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }],
++        totalFiles: 2,
++      });
++
++      expect(viewModel.unmappedPdfFiles.value).toEqual(["test1.pdf", "test2.pdf"]);
++    });
++
++    it("should exclude assigned PDFs from unmapped list", () => {
++      const viewModel = useImportFileUploadViewModel(props, { emit });
++
++      viewModel.handlePdfUpdate({
++        matchedFiles: [],
++        unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }],
++        totalFiles: 2,
++      });
++
++      // Manually set table data with one assigned file
++      viewModel.editableTableData.value = [
++        {
++          reference: "test2023",
++          files: ["test1.pdf"],
++        },
++      ];
++
++      expect(viewModel.unmappedPdfFiles.value).toEqual(["test2.pdf"]);
++    });
++  });
++
++  describe("syncEditableTableToBibData", () => {
++    it("should convert editable table data to bibData format", () => {
++      const viewModel = useImportFileUploadViewModel(props, { emit });
++
++      viewModel.editableTableData.value = [
++        {
++          reference: "test2023",
++          title: "Test Paper",
++          authors: "John Doe",
++          year: "2023",
++          files: ["test.pdf"],
++        },
++      ];
++
++      viewModel.syncEditableTableToBibData();
++
++      expect(viewModel.bibData.value.dataframeData).toBeDefined();
++      expect(viewModel.bibData.value.dataframeData?.data).toHaveLength(1);
++      expect(viewModel.bibData.value.dataframeData?.data[0]).toHaveProperty("reference", "test2023");
++      expect(viewModel.bibData.value.dataframeData?.data[0]).toHaveProperty("filePaths");
++      expect(viewModel.bibData.value.dataframeData?.data[0].filePaths).toEqual(["test.pdf"]);
++    });
++
++    it("should filter out empty rows", () => {
++      const viewModel = useImportFileUploadViewModel(props, { emit });
++
++      viewModel.editableTableData.value = [
++        {
++          reference: "test2023",
++          title: "Test Paper",
++          files: ["test.pdf"],
++        },
++        {
++          reference: "",
++          title: "",
++          files: [],
++        },
++      ];
++
++      viewModel.syncEditableTableToBibData();
++
++      expect(viewModel.bibData.value.dataframeData).toBeDefined();
++      expect(viewModel.bibData.value.dataframeData?.data).toHaveLength(1);
++    });
++  });
++});
+diff --git a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts
+index 1ebb8a8ca..e3833ca1f 100644
+--- a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts
++++ b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts
+@@ -5,6 +5,9 @@
+
+ import { ref, computed, watch, nextTick } from "@nuxtjs/composition-api";
+ import type { BibliographyData, PdfData } from "./types";
++import { TableData } from "~/v1/domain/entities/table/TableData";
++import { DataFrameSchema, DataFrameField } from "~/v1/domain/entities/table/Schema";
++import { Validators } from "~/v1/domain/entities/table/Validation";
+
+ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
+   // Internal flag to prevent recursive updates during initialization
+@@ -23,12 +26,179 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
+     unmatchedFiles: [],
+     totalFiles: 0,
+   });
++  const hasAutoSubmitted = ref(false);
++
++  // Editable table data for PDF-only uploads
++  const editableTableData = ref<any[]>([]);
++  const editableTable = ref<any>(null);
+
+   // Computed properties
+   const isValid = computed(() => {
+     return pdfData.value.totalFiles > 0;
+   });
+
++  // Check if we should show the editable table (PDFs uploaded but no bibliography)
++  const shouldShowEditableTable = computed(() => {
++    const hasPdfs = pdfData.value.totalFiles > 0;
++    const noBibliography = !bibData.value.dataframeData || bibData.value.dataframeData.data.length === 0;
++    return hasPdfs && noBibliography;
++  });
++
++  // Get all PDF file names
++  const allPdfFileNames = computed(() => {
++    const matched = pdfData.value.matchedFiles.map((mf: any) => mf.file.name);
++    const unmatched = pdfData.value.unmatchedFiles.map((f: File) => f.name);
++    return [...matched, ...unmatched];
++  });
++
++  // Get unmapped PDF files (PDFs not assigned to any reference)
++  const unmappedPdfFiles = computed(() => {
++    const assignedFiles = new Set<string>();
++
++    // 🔑 Prefer Tabulator ONLY when ready
++    const rows = editableTable.value
++      ? editableTable.value.getData()
++      : editableTableData.value;
++
++    rows.forEach((row: any) => {
++      // 🔑 Ignore empty rows
++      if (!row.reference || !row.reference.trim()) return;
++
++      if (!row.files) return;
++      (Array.isArray(row.files) ? row.files : [row.files]).forEach(
++        (file: string) => assignedFiles.add(file)
++      );
++    });
++
++
++    return allPdfFileNames.value.filter(
++      fileName => !assignedFiles.has(fileName)
++    );
++  });
++
++
++
++  // Configure editable table columns with validators
++  const editableTableColumns = computed(() => {
++    const pdfFileOptions = allPdfFileNames.value.map(name => ({
++      label: name,
++      value: name,
++    }));
++
++    return [
++      {
++        field: "reference",
++        title: "Reference *",
++        frozen: true,
++        width: 200,
++        editor: "input",
++        validator: ["required", "unique"],
++      },
++      {
++        field: "title",
++        title: "Title",
++        width: 300,
++        editor: "input",
++      },
++      {
++        field: "authors",
++        title: "Authors",
++        width: 200,
++        editor: "input",
++      },
++      {
++        field: "year",
++        title: "Year",
++        width: 100,
++        editor: "input",
++      },
++      {
++        field: "journal",
++        title: "Journal",
++        width: 200,
++        editor: "input",
++      },
++      {
++        field: "doi",
++        title: "DOI",
++        width: 150,
++        editor: "input",
++      },
++      {
++        field: "files",
++        title: "Files *",
++        frozen: true,
++        frozenRight: true,
++        width: 200,
++        editor: "list",
++
++        editorParams: function (cell: any) {
++          const table = cell.getTable();
++          const row = cell.getRow();
++          const field = cell.getField();
++
++          // ✅ Source of truth: uploaded PDFs
++          const allFiles = new Set<string>(allPdfFileNames.value);
++
++          // ✅ Files already used in other rows
++          const usedFiles = new Set<string>();
++
++          table.getRows().forEach((r: any) => {
++            if (r === row) return;
++            const v = r.getData()[field];
++            if (!v) return;
++            (Array.isArray(v) ? v : [v]).forEach((f: string) =>
++              usedFiles.add(f)
++            );
++          });
++
++          // ✅ Allow current row selections
++          const current = cell.getValue() || [];
++          const currentSet = new Set(
++            Array.isArray(current) ? current : [current]
++          );
++
++          // ✅ Compute final list AT CLICK TIME
++          const values = [...allFiles]
++            .filter(f => !usedFiles.has(f) || currentSet.has(f))
++            .map(f => ({ label: f, value: f }));
++
++          return {
++            values,
++            multiselect: true,
++            autocomplete: false,
++            listOnEmpty: true,
++            clearable: true,
++          };
++        },
++
++        validator: ["required"],
++
++        formatter: (cell: any) => {
++          const value = cell.getValue();
++          if (!value || (Array.isArray(value) && value.length === 0)) {
++            return '<span style="color: var(--fg-tertiary);">No files</span>';
++          }
++          const files = Array.isArray(value) ? value : [value];
++          const count = files.length;
++          return `<span title="${files.join(', ')}">${count} file${count !== 1 ? 's' : ''}</span>`;
++        },
++      }
++
++    ];
++  });
++
++  // Validators for the editable table
++  const editableTableValidators = computed<Validators>(() => {
++    return {
++      reference: [
++        { type: "unique", parameters: { column: "reference" } },
++        "required",
++      ],
++      files: ["required"],
++    };
++  });
++
+   // Event handlers
+   const handleBibUpdate = (data: any) => {
+     bibData.value = {
+@@ -36,22 +206,49 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
+       dataframeData: data.dataframeData || null,
+       rawContent: data.rawContent || "",
+     };
++
++    // If a bibliography is uploaded, clear the editable table data
++    if (data.dataframeData && data.dataframeData.data && data.dataframeData.data.length > 0) {
++      editableTableData.value = [];
++    }
++
+     emitBibUpdate();
+   };
+
+   const handlePdfUpdate = (data: any) => {
++    hasAutoSubmitted.value = false;
+     pdfData.value = {
+       matchedFiles: data.matchedFiles || [],
+       unmatchedFiles: data.unmatchedFiles || [],
+       totalFiles: data.totalFiles || 0,
+     };
+
++    // Initialize editable table if needed (PDFs but no bib)
++    if (shouldShowEditableTable.value && editableTableData.value.length === 0) {
++      initializeEditableTable();
++    }
++
+     // Update dataframe data with matched file paths
+     updateDataframeWithFilePaths(data.matchedFiles || []);
+
+     emitPdfUpdate();
+   };
+
++  const handleTableCellEdit = (cell: any) => {
++    // Keep Vue mirror in sync ONLY
++    editableTableData.value = editableTable.value?.getData() || [];
++  };
++
++  const handleTableBuilt = () => {
++    // Table is ready, ensure data is in sync
++    if (editableTable.value) {
++      const tableData = editableTable.value.getData();
++      if (tableData && tableData.length > 0) {
++        editableTableData.value = tableData;
++      }
++    }
++  };
++
+   // Event emitters
+   const emitBibUpdate = () => {
+     emit("bib-update", {
+@@ -118,6 +315,86 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
+     emitBibUpdate();
+   };
+
++  // Initialize editable table with empty rows
++  const initializeEditableTable = () => {
++    // Start with a few empty rows
++    const initialRows = Array.from({ length: 3 }, (_, i) => ({
++      reference: "",
++      title: "",
++      authors: "",
++      year: "",
++      journal: "",
++      doi: "",
++      files: [],
++    }));
++
++    editableTableData.value = initialRows;
++  };
++
++  // Sync editable table data to bibData format
++  // Sync editable table data to bibData format
++  const syncEditableTableToBibData = () => {
++    if (editableTableData.value.length === 0) {
++      return;
++    }
++
++    // Filter out empty rows
++    const validRows = editableTableData.value.filter((row: any) =>
++      row.reference && row.reference.trim().length > 0
++    );
++
++    if (validRows.length === 0) {
++      return;
++    }
++
++    // Define schema
++    const fields: DataFrameField[] = [
++      { name: "reference", type: "string" },
++      { name: "title", type: "string" },
++      { name: "authors", type: "string" },
++      { name: "year", type: "string" },
++      { name: "journal", type: "string" },
++      { name: "doi", type: "string" },
++      { name: "files", type: "string" },
++    ];
++
++    const schema = new DataFrameSchema(
++      fields,
++      ["reference"],
++      null,
++      "manual-entry"
++    );
++
++    // Process rows: Format 'files' for compatibility
++    const processedRows = validRows.map((row: any) => {
++      // 1. Normalize files to an Array (Safe handling)
++      const filesArray = Array.isArray(row.files) ? row.files : (row.files ? [row.files] : []);
++
++      return {
++        ...row,
++        // 2. THE FIX: Convert Array back to String for Step 2 display
++        // Step 2 expects "file1.pdf, file2.pdf" and tries to .split() it.
++        // We give it exactly what it wants.
++        files: filesArray.join(', '),
++
++        // 3. Keep the real Array for the backend logic
++        filePaths: filesArray,
++      };
++    });
++
++    const tableData = new TableData(
++      processedRows,
++      schema,
++      null
++    );
++
++    bibData.value.dataframeData = tableData;
++    bibData.value.fileName = "manual-entry.csv";
++
++    // Re-emit the bib update with the generated dataframe
++    emitBibUpdate();
++  };
++
+   // Initialize component with existing data when navigating back
+   const initializeWithExistingData = () => {
+     // Set flag to prevent recursive updates
+@@ -154,7 +431,7 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
+   const reset = () => {
+     // Set flag to prevent recursive updates during reset
+     isInitializing.value = true;
+-
++    hasAutoSubmitted.value = false;
+     // Reset bibliography data
+     bibData.value = {
+       fileName: "",
+@@ -162,6 +439,7 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
+       rawContent: "",
+     };
+
++
+     // Reset PDF data
+     pdfData.value = {
+       matchedFiles: [],
+@@ -215,21 +493,52 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
+     { deep: true, immediate: true }
+   );
+
++  watch(
++    unmappedPdfFiles,
++    (newUnmapped) => {
++      // Only auto-submit when:
++      // 1. Table exists
++      // 2. No unmapped PDFs remain
++      // 3. We haven't already submitted
++      if (
++        editableTable.value &&
++        newUnmapped.length === 0 &&
++        !hasAutoSubmitted.value
++      ) {
++        hasAutoSubmitted.value = true;
++        syncEditableTableToBibData();
++      }
++    },
++    { immediate: false }
++  );
++
++
+   return {
+     // Reactive state
+     isInitializing,
+     bibData,
+     pdfData,
++    editableTableData,
++    editableTable,
+
+     // Computed
+     isValid,
++    shouldShowEditableTable,
++    allPdfFileNames,
++    unmappedPdfFiles,
++    editableTableColumns,
++    editableTableValidators,
+
+     // Methods
+     handleBibUpdate,
+     handlePdfUpdate,
++    handleTableCellEdit,
++    handleTableBuilt,
+     emitBibUpdate,
+     emitPdfUpdate,
+     updateDataframeWithFilePaths,
++    initializeEditableTable,
++    syncEditableTableToBibData,
+     initializeWithExistingData,
+     reset,
+   };
diff --git a/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue b/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue
index c426a4ca3..eabc68b3e 100644
--- a/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue
+++ b/extralit-frontend/components/features/import/file-upload/ImportFileUpload.vue
@@ -25,6 +25,7 @@
   import TableUpload from "./TableUpload.vue";
   import PdfUpload from "./PdfUpload.vue";
   import ImportSummarySidebar from "./ImportSummarySidebar.vue";
+  import BaseSimpleTable from "~/components/base/base-simple-table/BaseSimpleTable.vue";
   import { useImportFileUploadViewModel } from "./useImportFileUploadViewModel";
 
   export default {
@@ -34,6 +35,7 @@
       TableUpload,
       PdfUpload,
       ImportSummarySidebar,
+      BaseSimpleTable,
     } as any,
 
     props: {
diff --git a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts
new file mode 100644
index 000000000..9cefe37c8
--- /dev/null
+++ b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.spec.ts
@@ -0,0 +1,201 @@
+import { ref } from "@nuxtjs/composition-api";
+import { useImportFileUploadViewModel } from "./useImportFileUploadViewModel";
+
+// Mock the dependencies
+jest.mock("ts-injecty", () => ({
+  useResolve: jest.fn(),
+}));
+
+jest.mock("~/v1/domain/entities/table/TableData", () => ({
+  TableData: jest.fn().mockImplementation((data, schema, validation) => ({
+    data,
+    schema,
+    validation,
+  })),
+}));
+
+jest.mock("~/v1/domain/entities/table/Schema", () => ({
+  DataFrameSchema: jest.fn().mockImplementation((fields, primaryKey, foreignKeys, name) => ({
+    fields,
+    primaryKey,
+    foreignKeys,
+    name,
+  })),
+  DataFrameField: jest.fn(),
+}));
+
+jest.mock("~/v1/domain/entities/table/Validation", () => ({
+  Validators: jest.fn(),
+}));
+
+describe("useImportFileUploadViewModel", () => {
+  let emit: jest.Mock;
+  let props: any;
+
+  beforeEach(() => {
+    emit = jest.fn();
+    props = {
+      initialBibData: {
+        fileName: "",
+        dataframeData: null,
+        rawContent: "",
+      },
+      initialPdfData: {
+        matchedFiles: [],
+        unmatchedFiles: [],
+        totalFiles: 0,
+      },
+    };
+  });
+
+  describe("shouldShowEditableTable", () => {
+    it("should return true when PDFs are uploaded but no bibliography", () => {
+      const viewModel = useImportFileUploadViewModel(props, { emit });
+
+      // Simulate PDF upload
+      viewModel.handlePdfUpdate({
+        matchedFiles: [],
+        unmatchedFiles: [{ name: "test.pdf" }],
+        totalFiles: 1,
+      });
+
+      expect(viewModel.shouldShowEditableTable.value).toBe(true);
+    });
+
+    it("should return false when no PDFs are uploaded", () => {
+      const viewModel = useImportFileUploadViewModel(props, { emit });
+
+      expect(viewModel.shouldShowEditableTable.value).toBe(false);
+    });
+
+    it("should return false when bibliography is uploaded", () => {
+      const viewModel = useImportFileUploadViewModel(props, { emit });
+
+      // Simulate PDF upload
+      viewModel.handlePdfUpdate({
+        matchedFiles: [],
+        unmatchedFiles: [{ name: "test.pdf" }],
+        totalFiles: 1,
+      });
+
+      // Simulate bibliography upload
+      viewModel.handleBibUpdate({
+        fileName: "test.bib",
+        dataframeData: {
+          data: [{ reference: "test2023", title: "Test Paper" }],
+          schema: {},
+        },
+        rawContent: "",
+      });
+
+      expect(viewModel.shouldShowEditableTable.value).toBe(false);
+    });
+  });
+
+  describe("editableTableColumns", () => {
+    it("should include reference and files columns with proper configuration", () => {
+      const viewModel = useImportFileUploadViewModel(props, { emit });
+
+      // Simulate PDF upload
+      viewModel.handlePdfUpdate({
+        matchedFiles: [],
+        unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }],
+        totalFiles: 2,
+      });
+
+      const columns = viewModel.editableTableColumns.value;
+      const referenceCol = columns.find((col: any) => col.field === "reference");
+      const filesCol = columns.find((col: any) => col.field === "files");
+
+      expect(referenceCol).toBeDefined();
+      expect(referenceCol?.frozen).toBe(true);
+      expect(referenceCol?.validator).toContain("required");
+      expect(referenceCol?.validator).toContain("unique");
+
+      expect(filesCol).toBeDefined();
+      expect(filesCol?.editor).toBe("list");
+      expect(filesCol?.editorParams?.multiselect).toBe(true);
+      expect(filesCol?.editorParams?.values).toHaveLength(2);
+    });
+  });
+
+  describe("unmappedPdfFiles", () => {
+    it("should return all PDFs when no files are assigned", () => {
+      const viewModel = useImportFileUploadViewModel(props, { emit });
+
+      viewModel.handlePdfUpdate({
+        matchedFiles: [],
+        unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }],
+        totalFiles: 2,
+      });
+
+      expect(viewModel.unmappedPdfFiles.value).toEqual(["test1.pdf", "test2.pdf"]);
+    });
+
+    it("should exclude assigned PDFs from unmapped list", () => {
+      const viewModel = useImportFileUploadViewModel(props, { emit });
+
+      viewModel.handlePdfUpdate({
+        matchedFiles: [],
+        unmatchedFiles: [{ name: "test1.pdf" }, { name: "test2.pdf" }],
+        totalFiles: 2,
+      });
+
+      // Manually set table data with one assigned file
+      viewModel.editableTableData.value = [
+        {
+          reference: "test2023",
+          files: ["test1.pdf"],
+        },
+      ];
+
+      expect(viewModel.unmappedPdfFiles.value).toEqual(["test2.pdf"]);
+    });
+  });
+
+  describe("syncEditableTableToBibData", () => {
+    it("should convert editable table data to bibData format", () => {
+      const viewModel = useImportFileUploadViewModel(props, { emit });
+
+      viewModel.editableTableData.value = [
+        {
+          reference: "test2023",
+          title: "Test Paper",
+          authors: "John Doe",
+          year: "2023",
+          files: ["test.pdf"],
+        },
+      ];
+
+      viewModel.syncEditableTableToBibData();
+
+      expect(viewModel.bibData.value.dataframeData).toBeDefined();
+      expect(viewModel.bibData.value.dataframeData?.data).toHaveLength(1);
+      expect(viewModel.bibData.value.dataframeData?.data[0]).toHaveProperty("reference", "test2023");
+      expect(viewModel.bibData.value.dataframeData?.data[0]).toHaveProperty("filePaths");
+      expect(viewModel.bibData.value.dataframeData?.data[0].filePaths).toEqual(["test.pdf"]);
+    });
+
+    it("should filter out empty rows", () => {
+      const viewModel = useImportFileUploadViewModel(props, { emit });
+
+      viewModel.editableTableData.value = [
+        {
+          reference: "test2023",
+          title: "Test Paper",
+          files: ["test.pdf"],
+        },
+        {
+          reference: "",
+          title: "",
+          files: [],
+        },
+      ];
+
+      viewModel.syncEditableTableToBibData();
+
+      expect(viewModel.bibData.value.dataframeData).toBeDefined();
+      expect(viewModel.bibData.value.dataframeData?.data).toHaveLength(1);
+    });
+  });
+});
diff --git a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts
index aa0cdfec1..8c9d05bea 100644
--- a/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts
+++ b/extralit-frontend/components/features/import/file-upload/useImportFileUploadViewModel.ts
@@ -5,6 +5,9 @@
 
 import { ref, computed, watch, nextTick } from "@nuxtjs/composition-api";
 import type { BibliographyData, PdfData } from "./types";
+import { TableData } from "~/v1/domain/entities/table/TableData";
+import { DataFrameSchema, DataFrameField } from "~/v1/domain/entities/table/Schema";
+import { Validators } from "~/v1/domain/entities/table/Validation";
 
 export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
   // Internal flag to prevent recursive updates during initialization
@@ -23,12 +26,179 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
     unmatchedFiles: [],
     totalFiles: 0,
   });
+  const hasAutoSubmitted = ref(false);
+
+  // Editable table data for PDF-only uploads
+  const editableTableData = ref<any[]>([]);
+  const editableTable = ref<any>(null);
 
   // Computed properties
   const isValid = computed(() => {
     return pdfData.value.totalFiles > 0;
   });
 
+  // Check if we should show the editable table (PDFs uploaded but no bibliography)
+  const shouldShowEditableTable = computed(() => {
+    const hasPdfs = pdfData.value.totalFiles > 0;
+    const noBibliography = !bibData.value.dataframeData || bibData.value.dataframeData.data.length === 0;
+    return hasPdfs && noBibliography;
+  });
+
+  // Get all PDF file names
+  const allPdfFileNames = computed(() => {
+    const matched = pdfData.value.matchedFiles.map((mf: any) => mf.file.name);
+    const unmatched = pdfData.value.unmatchedFiles.map((f: File) => f.name);
+    return [...matched, ...unmatched];
+  });
+
+  // Get unmapped PDF files (PDFs not assigned to any reference)
+  const unmappedPdfFiles = computed(() => {
+    const assignedFiles = new Set<string>();
+
+    // 🔑 Prefer Tabulator ONLY when ready
+    const rows = editableTable.value
+      ? editableTable.value.getData()
+      : editableTableData.value;
+
+    rows.forEach((row: any) => {
+      // 🔑 Ignore empty rows
+      if (!row.reference || !row.reference.trim()) return;
+
+      if (!row.files) return;
+      (Array.isArray(row.files) ? row.files : [row.files]).forEach(
+        (file: string) => assignedFiles.add(file)
+      );
+    });
+
+
+    return allPdfFileNames.value.filter(
+      fileName => !assignedFiles.has(fileName)
+    );
+  });
+
+
+
+  // Configure editable table columns with validators
+  const editableTableColumns = computed(() => {
+    const pdfFileOptions = allPdfFileNames.value.map(name => ({
+      label: name,
+      value: name,
+    }));
+
+    return [
+      {
+        field: "reference",
+        title: "Reference *",
+        frozen: true,
+        width: 200,
+        editor: "input",
+        validator: ["required", "unique"],
+      },
+      {
+        field: "title",
+        title: "Title",
+        width: 300,
+        editor: "input",
+      },
+      {
+        field: "authors",
+        title: "Authors",
+        width: 200,
+        editor: "input",
+      },
+      {
+        field: "year",
+        title: "Year",
+        width: 100,
+        editor: "input",
+      },
+      {
+        field: "journal",
+        title: "Journal",
+        width: 200,
+        editor: "input",
+      },
+      {
+        field: "doi",
+        title: "DOI",
+        width: 150,
+        editor: "input",
+      },
+      {
+        field: "files",
+        title: "Files *",
+        frozen: true,
+        frozenRight: true,
+        width: 200,
+        editor: "list",
+
+        editorParams: function (cell: any) {
+          const table = cell.getTable();
+          const row = cell.getRow();
+          const field = cell.getField();
+
+          // ✅ Source of truth: uploaded PDFs
+          const allFiles = new Set<string>(allPdfFileNames.value);
+
+          // ✅ Files already used in other rows
+          const usedFiles = new Set<string>();
+
+          table.getRows().forEach((r: any) => {
+            if (r === row) return;
+            const v = r.getData()[field];
+            if (!v) return;
+            (Array.isArray(v) ? v : [v]).forEach((f: string) =>
+              usedFiles.add(f)
+            );
+          });
+
+          // ✅ Allow current row selections
+          const current = cell.getValue() || [];
+          const currentSet = new Set(
+            Array.isArray(current) ? current : [current]
+          );
+
+          // ✅ Compute final list AT CLICK TIME
+          const values = [...allFiles]
+            .filter(f => !usedFiles.has(f) || currentSet.has(f))
+            .map(f => ({ label: f, value: f }));
+
+          return {
+            values,
+            multiselect: true,
+            autocomplete: false,
+            listOnEmpty: true,
+            clearable: true,
+          };
+        },
+
+        validator: ["required"],
+
+        formatter: (cell: any) => {
+          const value = cell.getValue();
+          if (!value || (Array.isArray(value) && value.length === 0)) {
+            return '<span style="color: var(--fg-tertiary);">No files</span>';
+          }
+          const files = Array.isArray(value) ? value : [value];
+          const count = files.length;
+          return `<span title="${files.join(', ')}">${count} file${count !== 1 ? 's' : ''}</span>`;
+        },
+      }
+
+    ];
+  });
+
+  // Validators for the editable table
+  const editableTableValidators = computed<Validators>(() => {
+    return {
+      reference: [
+        { type: "unique", parameters: { column: "reference" } },
+        "required",
+      ],
+      files: ["required"],
+    };
+  });
+
   // Event handlers
   const handleBibUpdate = (data: any) => {
     bibData.value = {
@@ -41,18 +211,39 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
   };
 
   const handlePdfUpdate = (data: any) => {
+    hasAutoSubmitted.value = false;
     pdfData.value = {
       matchedFiles: data.matchedFiles || [],
       unmatchedFiles: data.unmatchedFiles || [],
       totalFiles: data.totalFiles || 0,
     };
 
+    // Initialize editable table if needed (PDFs but no bib)
+    if (shouldShowEditableTable.value && editableTableData.value.length === 0) {
+      initializeEditableTable();
+    }
+
     // Update dataframe data with matched file paths
     updateDataframeWithFilePaths(data.matchedFiles || []);
 
     emitPdfUpdate();
   };
 
+  const handleTableCellEdit = (cell: any) => {
+    // Keep Vue mirror in sync ONLY
+    editableTableData.value = editableTable.value?.getData() || [];
+  };
+
+  const handleTableBuilt = () => {
+    // Table is ready, ensure data is in sync
+    if (editableTable.value) {
+      const tableData = editableTable.value.getData();
+      if (tableData && tableData.length > 0) {
+        editableTableData.value = tableData;
+      }
+    }
+  };
+
   // Event emitters
   const emitBibUpdate = () => {
     emit("bib-update", {
@@ -119,6 +310,86 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
     emitBibUpdate();
   };
 
+  // Initialize editable table with empty rows
+  const initializeEditableTable = () => {
+    // Start with a few empty rows
+    const initialRows = Array.from({ length: 3 }, (_, i) => ({
+      reference: "",
+      title: "",
+      authors: "",
+      year: "",
+      journal: "",
+      doi: "",
+      files: [],
+    }));
+
+    editableTableData.value = initialRows;
+  };
+
+  // Sync editable table data to bibData format
+  // Sync editable table data to bibData format
+  const syncEditableTableToBibData = () => {
+    if (editableTableData.value.length === 0) {
+      return;
+    }
+
+    // Filter out empty rows
+    const validRows = editableTableData.value.filter((row: any) =>
+      row.reference && row.reference.trim().length > 0
+    );
+
+    if (validRows.length === 0) {
+      return;
+    }
+
+    // Define schema
+    const fields: DataFrameField[] = [
+      { name: "reference", type: "string" },
+      { name: "title", type: "string" },
+      { name: "authors", type: "string" },
+      { name: "year", type: "string" },
+      { name: "journal", type: "string" },
+      { name: "doi", type: "string" },
+      { name: "files", type: "string" },
+    ];
+
+    const schema = new DataFrameSchema(
+      fields,
+      ["reference"],
+      null,
+      "manual-entry"
+    );
+
+    // Process rows: Format 'files' for compatibility
+    const processedRows = validRows.map((row: any) => {
+      // 1. Normalize files to an Array (Safe handling)
+      const filesArray = Array.isArray(row.files) ? row.files : (row.files ? [row.files] : []);
+
+      return {
+        ...row,
+        // 2. THE FIX: Convert Array back to String for Step 2 display
+        // Step 2 expects "file1.pdf, file2.pdf" and tries to .split() it.
+        // We give it exactly what it wants.
+        files: filesArray.join(', '),
+
+        // 3. Keep the real Array for the backend logic
+        filePaths: filesArray,
+      };
+    });
+
+    const tableData = new TableData(
+      processedRows,
+      schema,
+      null
+    );
+
+    bibData.value.dataframeData = tableData;
+    bibData.value.fileName = "manual-entry.csv";
+
+    // Re-emit the bib update with the generated dataframe
+    emitBibUpdate();
+  };
+
   // Initialize component with existing data when navigating back
   const initializeWithExistingData = () => {
     // Set flag to prevent recursive updates
@@ -155,7 +426,7 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
   const reset = () => {
     // Set flag to prevent recursive updates during reset
     isInitializing.value = true;
-
+    hasAutoSubmitted.value = false;
     // Reset bibliography data
     bibData.value = {
       fileName: "",
@@ -163,6 +434,7 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
       rawContent: "",
     };
 
+
     // Reset PDF data
     pdfData.value = {
       matchedFiles: [],
@@ -216,21 +488,52 @@ export const useImportFileUploadViewModel = (props: any, { emit }: any) => {
     { deep: true, immediate: true }
   );
 
+  watch(
+    unmappedPdfFiles,
+    (newUnmapped) => {
+      // Only auto-submit when:
+      // 1. Table exists
+      // 2. No unmapped PDFs remain
+      // 3. We haven't already submitted
+      if (
+        editableTable.value &&
+        newUnmapped.length === 0 &&
+        !hasAutoSubmitted.value
+      ) {
+        hasAutoSubmitted.value = true;
+        syncEditableTableToBibData();
+      }
+    },
+    { immediate: false }
+  );
+
+
   return {
     // Reactive state
     isInitializing,
     bibData,
     pdfData,
+    editableTableData,
+    editableTable,
 
     // Computed
     isValid,
+    shouldShowEditableTable,
+    allPdfFileNames,
+    unmappedPdfFiles,
+    editableTableColumns,
+    editableTableValidators,
 
     // Methods
     handleBibUpdate,
     handlePdfUpdate,
+    handleTableCellEdit,
+    handleTableBuilt,
     emitBibUpdate,
     emitPdfUpdate,
     updateDataframeWithFilePaths,
+    initializeEditableTable,
+    syncEditableTableToBibData,
     initializeWithExistingData,
     reset,
   };
diff --git a/extralit-frontend/components/features/user-settings/CopilotConnect.vue b/extralit-frontend/components/features/user-settings/CopilotConnect.vue
new file mode 100644
index 000000000..d043d08d4
--- /dev/null
+++ b/extralit-frontend/components/features/user-settings/CopilotConnect.vue
@@ -0,0 +1,179 @@
+<template>
+  <div class="copilot-connect">
+    <!-- Connected State -->
+    <div v-if="isAuthenticated" class="copilot-connect__status copilot-connect__status--connected">
+      <span class="copilot-connect__icon">✓</span>
+      <span class="copilot-connect__label">GitHub Copilot Connected</span>
+    </div>
+
+    <!-- Pending State -->
+    <div v-else-if="isPending" class="copilot-connect__status copilot-connect__status--pending">
+      <div class="copilot-connect__instructions">
+        <p class="copilot-connect__text">
+          Go to
+          <a
+            :href="verificationUri"
+            target="_blank"
+            rel="noopener noreferrer"
+            class="copilot-connect__link"
+          >{{ verificationUri }}</a>
+          and enter the code:
+        </p>
+        <div class="copilot-connect__code-box">
+          <code class="copilot-connect__code">{{ userCode }}</code>
+        </div>
+      </div>
+      <div class="copilot-connect__spinner-row">
+        <span class="copilot-connect__spinner" />
+        <span class="copilot-connect__waiting-text">Waiting for authorization…</span>
+      </div>
+    </div>
+
+    <!-- Disconnected State -->
+    <div v-else class="copilot-connect__status copilot-connect__status--disconnected">
+      <button
+        class="copilot-connect__button"
+        @click="connectCopilot"
+      >
+        Connect Copilot
+      </button>
+    </div>
+  </div>
+</template>
+
+<script>
+import { useCopilotConnectViewModel } from "./useCopilotConnectViewModel";
+
+export default {
+  setup() {
+    return useCopilotConnectViewModel();
+  },
+};
+</script>
+
+<style lang="scss" scoped>
+.copilot-connect {
+  padding: $base-space * 2 0;
+
+  &__status {
+    display: flex;
+    align-items: center;
+    gap: $base-space * 2;
+    flex-wrap: wrap;
+
+    &--connected {
+      color: var(--fg-primary);
+    }
+
+    &--pending {
+      flex-direction: column;
+      align-items: flex-start;
+      gap: $base-space * 3;
+    }
+
+    &--disconnected {
+      // defaults are fine
+    }
+  }
+
+  &__icon {
+    display: inline-flex;
+    align-items: center;
+    justify-content: center;
+    width: 24px;
+    height: 24px;
+    border-radius: 50%;
+    background-color: #2da44e;
+    color: #fff;
+    font-size: 14px;
+    font-weight: bold;
+    flex-shrink: 0;
+  }
+
+  &__label {
+    font-weight: 500;
+    color: var(--fg-primary);
+  }
+
+  &__instructions {
+    display: flex;
+    flex-direction: column;
+    gap: $base-space;
+  }
+
+  &__text {
+    margin: 0;
+    color: var(--fg-secondary);
+  }
+
+  &__link {
+    color: var(--color-brand);
+    text-decoration: underline;
+
+    &:hover {
+      text-decoration: none;
+    }
+  }
+
+  &__code-box {
+    display: inline-flex;
+    padding: $base-space $base-space * 2;
+    background: var(--bg-opacity-4);
+    border: 1px solid var(--bg-opacity-10);
+    border-radius: 6px;
+  }
+
+  &__code {
+    font-family: monospace;
+    font-size: 18px;
+    font-weight: 600;
+    letter-spacing: 3px;
+    color: var(--fg-primary);
+  }
+
+  &__spinner-row {
+    display: flex;
+    align-items: center;
+    gap: $base-space;
+  }
+
+  &__spinner {
+    display: inline-block;
+    width: 16px;
+    height: 16px;
+    border: 2px solid var(--bg-opacity-10);
+    border-top-color: var(--color-brand);
+    border-radius: 50%;
+    animation: copilot-spin 0.8s linear infinite;
+  }
+
+  &__waiting-text {
+    color: var(--fg-secondary);
+    font-size: 13px;
+  }
+
+  &__button {
+    display: inline-flex;
+    align-items: center;
+    padding: $base-space $base-space * 3;
+    background-color: var(--color-brand);
+    color: #fff;
+    border: none;
+    border-radius: 6px;
+    font-size: 14px;
+    font-weight: 500;
+    cursor: pointer;
+    transition: background-color 0.2s ease;
+
+    &:hover {
+      opacity: 0.9;
+    }
+  }
+}
+
+@keyframes copilot-spin {
+  to {
+    transform: rotate(360deg);
+  }
+}
+</style>
diff --git a/extralit-frontend/components/features/user-settings/UserSettingsContent.vue b/extralit-frontend/components/features/user-settings/UserSettingsContent.vue
index 9b3e47395..3a63099aa 100644
--- a/extralit-frontend/components/features/user-settings/UserSettingsContent.vue
+++ b/extralit-frontend/components/features/user-settings/UserSettingsContent.vue
@@ -46,6 +46,10 @@
     <div class="form-group">
       <UserTokenComponent :userToken="user.apiKey" />
     </div>
+    <div class="form-group">
+      <h2 class="--heading5 --medium description__title">GitHub Copilot</h2>
+      <CopilotConnect />
+    </div>
   </div>
 </template>
 
diff --git a/extralit-frontend/components/features/user-settings/useCopilotConnectViewModel.ts b/extralit-frontend/components/features/user-settings/useCopilotConnectViewModel.ts
new file mode 100644
index 000000000..9afa55ebb
--- /dev/null
+++ b/extralit-frontend/components/features/user-settings/useCopilotConnectViewModel.ts
@@ -0,0 +1,35 @@
+import { useFetch, onBeforeUnmount } from "@nuxtjs/composition-api";
+import { useResolve } from "ts-injecty";
+import { computed } from "vue-demi";
+import { GitHubAuthUseCase } from "~/v1/domain/usecases/github-auth-use-case";
+import { useGitHubAuth } from "~/v1/infrastructure/storage/GitHubAuthStorage";
+
+export const useCopilotConnectViewModel = () => {
+  const gitHubAuthUseCase = useResolve(GitHubAuthUseCase);
+  const store = useGitHubAuth();
+
+  const isAuthenticated = computed(() => store.state.isAuthenticated);
+  const isPending = computed(() => store.state.isPending);
+  const userCode = computed(() => store.state.userCode);
+  const verificationUri = computed(() => store.state.verificationUri);
+
+  useFetch(async () => {
+    await gitHubAuthUseCase.checkStatus();
+  });
+
+  const connectCopilot = async () => {
+    await gitHubAuthUseCase.initiateLogin();
+  };
+
+  onBeforeUnmount(() => {
+    gitHubAuthUseCase.clearPolling();
+  });
+
+  return {
+    isAuthenticated,
+    isPending,
+    userCode,
+    verificationUri,
+    connectCopilot,
+  };
+};
diff --git a/extralit-frontend/v1/di/di.ts b/extralit-frontend/v1/di/di.ts
index 6a819c978..3ed6f8e3a 100644
--- a/extralit-frontend/v1/di/di.ts
+++ b/extralit-frontend/v1/di/di.ts
@@ -25,6 +25,7 @@ import {
   UserRepository,
   HubRepository,
   JobRepository,
+  GitHubAuthRepository,
 } from "@/v1/infrastructure/repositories";
 
 import { useLocalStorage, useRole, useRoutes } from "@/v1/infrastructure/services";
@@ -35,6 +36,7 @@ import { useDatasets } from "@/v1/infrastructure/storage/DatasetsStorage";
 import { useMetrics } from "@/v1/infrastructure/storage/MetricsStorage";
 import { useDatasetSetting } from "@/v1/infrastructure/storage/DatasetSettingStorage";
 import { useWorkspaces } from "@/v1/infrastructure/storage/WorkspaceStorage";
+import { useGitHubAuth } from "@/v1/infrastructure/storage/GitHubAuthStorage";
 
 import { GetHfDatasetCreationUseCase } from "~/v1/domain/usecases/get-hf-dataset-creation-use-case";
 import { GetDatasetsUseCase } from "@/v1/domain/usecases/get-datasets-use-case";
@@ -81,6 +83,7 @@ import { UpdateDatasetUseCase } from "@/v1/domain/usecases/update-dataset-use-ca
 import { GetFirstRecordFromHub } from "@/v1/domain/usecases/get-first-record-from-hub";
 import { ExportDatasetToHubUseCase } from "@/v1/domain/usecases/export-dataset-to-hub-use-case";
 import { AuthLoginUseCase } from "@/v1/domain/usecases/auth-login-use-case";
+import { GitHubAuthUseCase } from "@/v1/domain/usecases/github-auth-use-case";
 import { FileParsingService } from "~/v1/domain/services/FileParsingService";
 import { PdfMatchingService } from "@/v1/domain/services/FileMatchingService";
 
@@ -217,6 +220,9 @@ export const loadDependencyContainer = (context: Context) => {
 
     register(ExportDatasetToHubUseCase).withDependencies(DatasetRepository, useLocalStorage).build(),
 
+    register(GitHubAuthRepository).withDependency(useAxios).build(),
+    register(GitHubAuthUseCase).withDependencies(GitHubAuthRepository, useGitHubAuth).build(),
+
     register(FileParsingService).build(),
     register(PdfMatchingService).build(),
   ];
diff --git a/extralit-frontend/v1/domain/usecases/github-auth-use-case.ts b/extralit-frontend/v1/domain/usecases/github-auth-use-case.ts
new file mode 100644
index 000000000..84d4450b7
--- /dev/null
+++ b/extralit-frontend/v1/domain/usecases/github-auth-use-case.ts
@@ -0,0 +1,99 @@
+import { GitHubAuthRepository } from "@/v1/infrastructure/repositories/GitHubAuthRepository";
+
+export class GitHubAuthUseCase {
+  private pollingTimer: ReturnType<typeof setInterval> | null = null;
+
+  constructor(
+    private readonly repository: GitHubAuthRepository,
+    private readonly store: any
+  ) {}
+
+  async checkStatus(): Promise<void> {
+    try {
+      const { authenticated } = await this.repository.getStatus();
+      const current = this.store.get();
+      this.store.save({
+        ...current,
+        isAuthenticated: authenticated,
+        isPending: false,
+        userCode: null,
+        verificationUri: null,
+        deviceCode: null,
+      });
+    } catch {
+      // If the check fails, leave current state unchanged
+    }
+  }
+
+  async initiateLogin(): Promise<void> {
+    const response = await this.repository.initiateLogin();
+
+    const current = this.store.get();
+    this.store.save({
+      ...current,
+      isPending: true,
+      userCode: response.user_code,
+      verificationUri: response.verification_uri,
+      deviceCode: response.device_code,
+      isAuthenticated: false,
+    });
+
+    this.startPolling(response.device_code, response.interval);
+  }
+
+  clearPolling(): void {
+    if (this.pollingTimer) {
+      clearInterval(this.pollingTimer);
+      this.pollingTimer = null;
+    }
+  }
+
+  private startPolling(deviceCode: string, intervalSeconds: number): void {
+    this.clearPolling();
+
+    // Use at least 5 seconds between polls to avoid rate limiting
+    const pollInterval = Math.max(intervalSeconds, 5) * 1000;
+
+    this.pollingTimer = setInterval(async () => {
+      try {
+        const { status } = await this.repository.pollToken(deviceCode);
+
+        if (status === "authorized") {
+          this.clearPolling();
+          const current = this.store.get();
+          this.store.save({
+            ...current,
+            isAuthenticated: true,
+            isPending: false,
+            userCode: null,
+            verificationUri: null,
+            deviceCode: null,
+          });
+        } else if (status === "error") {
+          this.clearPolling();
+          const current = this.store.get();
+          this.store.save({
+            ...current,
+            isAuthenticated: false,
+            isPending: false,
+            userCode: null,
+            verificationUri: null,
+            deviceCode: null,
+          });
+        }
+        // "pending" — keep polling
+      } catch {
+        this.clearPolling();
+        const current = this.store.get();
+        this.store.save({
+          ...current,
+          isAuthenticated: false,
+          isPending: false,
+          userCode: null,
+          verificationUri: null,
+          deviceCode: null,
+        });
+      }
+    }, pollInterval);
+  }
+}
diff --git a/extralit-frontend/v1/infrastructure/repositories/GitHubAuthRepository.ts b/extralit-frontend/v1/infrastructure/repositories/GitHubAuthRepository.ts
new file mode 100644
index 000000000..dfa459aca
--- /dev/null
+++ b/extralit-frontend/v1/infrastructure/repositories/GitHubAuthRepository.ts
@@ -0,0 +1,46 @@
+import { type NuxtAxiosInstance } from "@nuxtjs/axios";
+
+interface AuthStatusResponse {
+  authenticated: boolean;
+  username: string;
+}
+
+interface DeviceFlowResponse {
+  device_code: string;
+  user_code: string;
+  verification_uri: string;
+  expires_in: number;
+  interval: number;
+}
+
+interface PollTokenResponse {
+  status: "pending" | "authorized" | "error";
+  message?: string;
+}
+
+export class GitHubAuthRepository {
+  // Take the standard authenticated Axios instance directly
+  constructor(private readonly axios: NuxtAxiosInstance) { }
+
+  async getStatus(): Promise<AuthStatusResponse> {
+    const { data } = await this.axios.get<AuthStatusResponse>(
+      "v1/auth/github/status"
+    );
+    return data;
+  }
+
+  async initiateLogin(): Promise<DeviceFlowResponse> {
+    const { data } = await this.axios.post<DeviceFlowResponse>(
+      "v1/auth/github/login"
+    );
+    return data;
+  }
+
+  async pollToken(deviceCode: string): Promise<PollTokenResponse> {
+    const { data } = await this.axios.post<PollTokenResponse>(
+      "v1/auth/github/poll",
+      { device_code: deviceCode }
+    );
+    return data;
+  }
+}
\ No newline at end of file
diff --git a/extralit-frontend/v1/infrastructure/repositories/index.ts b/extralit-frontend/v1/infrastructure/repositories/index.ts
index cb8fad438..320194c38 100644
--- a/extralit-frontend/v1/infrastructure/repositories/index.ts
+++ b/extralit-frontend/v1/infrastructure/repositories/index.ts
@@ -16,3 +16,4 @@ export * from "./UserRepository";
 export * from "./VectorRepository";
 export * from "./DocumentRepository";
 export * from "./WorkspaceRepository";
+export * from "./GitHubAuthRepository";
diff --git a/extralit-frontend/v1/infrastructure/storage/GitHubAuthStorage.ts b/extralit-frontend/v1/infrastructure/storage/GitHubAuthStorage.ts
new file mode 100644
index 000000000..96df57794
--- /dev/null
+++ b/extralit-frontend/v1/infrastructure/storage/GitHubAuthStorage.ts
@@ -0,0 +1,15 @@
+import { useStoreFor } from "@/v1/store/create";
+
+class GitHubAuthState {
+  constructor(
+    public readonly isAuthenticated: boolean = false,
+    public readonly isPending: boolean = false,
+    public readonly userCode: string | null = null,
+    public readonly verificationUri: string | null = null,
+    public readonly deviceCode: string | null = null
+  ) {}
+}
+
+const useStoreForGitHubAuth = useStoreFor<GitHubAuthState, {}>(GitHubAuthState);
+
+export const useGitHubAuth = () => useStoreForGitHubAuth();
diff --git a/extralit-server/pdm.lock b/extralit-server/pdm.lock
index 9dd229c3d..c2a0c4a5b 100644
--- a/extralit-server/pdm.lock
+++ b/extralit-server/pdm.lock
@@ -3,4344 +3,7 @@
 
 [metadata]
 groups = ["default", "marker", "postgresql", "test"]
-strategy = []
+strategy = ["inherit_metadata"]
+targets = []
 lock_version = "4.5.0"
-content_hash = "sha256:c3a2035f7b8cc1ef9c8d04cc9ded68195f03418c57b861d1b5d9c60b08585a57"
-
-[[metadata.targets]]
-requires_python = ">=3.10"
-
-[[package]]
-name = "aioboto3"
-version = "15.1.0"
-summary = ""
-dependencies = [
-    "aiobotocore[boto3]",
-    "aiofiles",
-]
-files = [
-    {file = "aioboto3-15.1.0-py3-none-any.whl", hash = "sha256:66006142a2ccc7d6d07aa260ba291c4922b6767d270ba42f95c59e85d8b3e645"},
-    {file = "aioboto3-15.1.0.tar.gz", hash = "sha256:37763bbc6321ceb479106dc63bc84c8fdb59dd02540034a12941aebef2057c5c"},
-]
-
-[[package]]
-name = "aiobotocore"
-version = "2.24.0"
-summary = ""
-dependencies = [
-    "aiohttp",
-    "aioitertools",
-    "botocore",
-    "jmespath",
-    "multidict",
-    "python-dateutil",
-    "wrapt",
-]
-files = [
-    {file = "aiobotocore-2.24.0-py3-none-any.whl", hash = "sha256:72bb1f8eb1b962779a95e1bcc9cf35bc33196ad763b622a40ae7fa9d2e95c87c"},
-    {file = "aiobotocore-2.24.0.tar.gz", hash = "sha256:b32c0c45d38c22a18ce395a0b5448606c5260603296a152895b5bdb40ab3139d"},
-]
-
-[[package]]
-name = "aiobotocore"
-version = "2.24.0"
-extras = ["boto3"]
-summary = ""
-dependencies = [
-    "aiobotocore==2.24.0",
-    "boto3",
-]
-files = [
-    {file = "aiobotocore-2.24.0-py3-none-any.whl", hash = "sha256:72bb1f8eb1b962779a95e1bcc9cf35bc33196ad763b622a40ae7fa9d2e95c87c"},
-    {file = "aiobotocore-2.24.0.tar.gz", hash = "sha256:b32c0c45d38c22a18ce395a0b5448606c5260603296a152895b5bdb40ab3139d"},
-]
-
-[[package]]
-name = "aiofiles"
-version = "24.1.0"
-summary = ""
-files = [
-    {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"},
-    {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"},
-]
-
-[[package]]
-name = "aiohappyeyeballs"
-version = "2.4.3"
-summary = ""
-files = [
-    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
-    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
-]
-
-[[package]]
-name = "aiohttp"
-version = "3.10.10"
-summary = ""
-dependencies = [
-    "aiohappyeyeballs",
-    "aiosignal",
-    "async-timeout; python_full_version < \"3.11\"",
-    "attrs",
-    "frozenlist",
-    "multidict",
-    "yarl",
-]
-files = [
-    {file = "aiohttp-3.10.10-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be7443669ae9c016b71f402e43208e13ddf00912f47f623ee5994e12fc7d4b3f"},
-    {file = "aiohttp-3.10.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7b06b7843929e41a94ea09eb1ce3927865387e3e23ebe108e0d0d09b08d25be9"},
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diff --git a/extralit-server/pyproject.toml b/extralit-server/pyproject.toml
index 767c557d1..5ceea5f0d 100644
--- a/extralit-server/pyproject.toml
+++ b/extralit-server/pyproject.toml
@@ -3,7 +3,8 @@ name = "extralit-server"
 dynamic = ["version"]
 description = "Open-source tool for accurate & fast scientific literature data extraction with LLM and human-in-the-loop."
 readme = "README.md"
-requires-python = ">=3.10"
+# requires-python = ">=3.11"
+requires-python = ">=3.11,<3.14"
 license = { text = "Apache-2.0" }
 keywords = [
     "literature-review",
@@ -13,12 +14,8 @@ keywords = [
     "human-in-the-loop",
     "mlops",
 ]
-authors = [
-    { name = "Extralit Labs", email = "extralit.contact@gmail.com" },
-]
-maintainers = [
-    { name = "Extralit Labs", email = "extralit.contact@gmail.com" },
-]
+authors = [{ name = "Extralit Labs", email = "extralit.contact@gmail.com" }]
+maintainers = [{ name = "Extralit Labs", email = "extralit.contact@gmail.com" }]
 dependencies = [
     # Basic dependencies
     "fastapi ~= 0.115.0",
@@ -47,6 +44,8 @@ dependencies = [
     "httpx ~= 0.27.0",
     "oauthlib ~= 3.2.0",
     "social-auth-core ~= 4.5.0",
+    # LiteLLM for chat integration
+    "litellm >= 1.60.0",
     # Background processing
     "rq~=2.4.1",
     "lazy-loader>=0.4",
@@ -55,8 +54,8 @@ dependencies = [
     # For logging, tracebacks, printing, progressbars
     "rich != 13.1.0",
     # For CLI
-    "typer>=0.19.1", # spaCy only supports typer<0.10.0
-    "click >= 8.2.0", # click >=8.2.0 has TypeError: Parameter.make_metavar() missing 1 required positional argument: 'ctx'
+    "typer>=0.19.1",   # spaCy only supports typer<0.10.0
+    "click >= 8.2.0",  # click >=8.2.0 has TypeError: Parameter.make_metavar() missing 1 required positional argument: 'ctx'
     "packaging>=23.2",
     # For Webhooks
     "standardwebhooks>=1.0.0",
@@ -75,6 +74,8 @@ dependencies = [
     "ocrmypdf>=16.11.0",
     "pdf2image>=1.17.0",
     "opencv-python-headless>=4.11.0.86",
+    # Local extralit package for OCR jobs
+    "extralit @ file:///${PROJECT_ROOT}/../extralit",
 ]
 
 [project.optional-dependencies]
@@ -121,7 +122,7 @@ test = [
     "pytest-randomly>=3.16.0",
     # For mocking httpx requests and responses
     "respx>=0.21.1",
-    "ruff>=0.12.11"
+    "ruff>=0.12.11",
 ]
 
 [tool.pytest.ini_options]
@@ -174,15 +175,15 @@ target-version = "py310"
 
 [tool.ruff.lint]
 select = [
-    "F",    # Pyflakes (undefined names, logical issues)
-    "E7",   # Syntax/indentation errors
-    "E9",   # Runtime-like errors
-    "E4",   # Import-related errors (E401, E402, etc.)
-    "B012", # return in finally (can suppress real exceptions)
-    "B",    # flake8-bugbear (broader than just B012)
-    "C4",   # flake8-comprehensions
-    "I",    # isort (import sorting)
-    "UP",   # pyupgrade (modern Python syntax)
+    "F",     # Pyflakes (undefined names, logical issues)
+    "E7",    # Syntax/indentation errors
+    "E9",    # Runtime-like errors
+    "E4",    # Import-related errors (E401, E402, etc.)
+    "B012",  # return in finally (can suppress real exceptions)
+    "B",     # flake8-bugbear (broader than just B012)
+    "C4",    # flake8-comprehensions
+    "I",     # isort (import sorting)
+    "UP",    # pyupgrade (modern Python syntax)
     "ASYNC", # flake8-async - async/await specific rules
     "PLE",   # pylint errors (includes await-outside-async)
     "FAST",  # FastAPI-specific rules (valuable for your backend)
@@ -190,23 +191,33 @@ select = [
 ]
 
 ignore = [
-    "E402",   # imports not at top (lazy / optional import patterns)
-    "B904",   # exception chaining (will phase in later)
-    "UP007",  # | union syntax modernization
-    "UP045",  # Optional[...] -> X | None modernization
+    "E402",    # imports not at top (lazy / optional import patterns)
+    "B904",    # exception chaining (will phase in later)
+    "UP007",   # | union syntax modernization
+    "UP045",   # Optional[...] -> X | None modernization
     "UP038",
-    "B027",   # empty abstract method not marked abstract
-    "B024",   # abstract base class without abstract methods
-    "B017",   # broad exception asserts in tests
-    "RUF012", # mutable class var typing inference
-    "B008",   # FastAPI Depends pattern
+    "B027",    # empty abstract method not marked abstract
+    "B024",    # abstract base class without abstract methods
+    "B017",    # broad exception asserts in tests
+    "RUF012",  # mutable class var typing inference
+    "B008",    # FastAPI Depends pattern
     "FAST002", # FastAPI Depends suggestion
 ]
 
 [tool.ruff.lint.per-file-ignores]
-"__init__.py" = ["F401", "F403", "I001"]  # Ignore unused imports and wildcard imports in __init__.py
-"tests/**/*.py" = ["ASYNC", "F821"]  # More lenient async rules in tests (ignore undefined names like forward refs/fixtures)
-"src/extralit_server/cli/**/*.py" = ["UP007", "UP045"]  # Typer doesn't support new union syntax
+"__init__.py" = [
+    "F401",
+    "F403",
+    "I001",
+] # Ignore unused imports and wildcard imports in __init__.py
+"tests/**/*.py" = [
+    "ASYNC",
+    "F821",
+] # More lenient async rules in tests (ignore undefined names like forward refs/fixtures)
+"src/extralit_server/cli/**/*.py" = [
+    "UP007",
+    "UP045",
+] # Typer doesn't support new union syntax
 
 [tool.pdm.scripts]
 _.env_file = ".env.dev"
diff --git a/extralit-server/src/extralit_server/api/handlers/v1/chat.py b/extralit-server/src/extralit_server/api/handlers/v1/chat.py
new file mode 100644
index 000000000..644e5f94b
--- /dev/null
+++ b/extralit-server/src/extralit_server/api/handlers/v1/chat.py
@@ -0,0 +1,339 @@
+# Copyright 2024-present, Extralit Labs, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+"""
+Chat endpoint using LiteLLM with GitHub Copilot and RAG support.
+"""
+
+import logging
+from typing import Annotated, Any
+from uuid import UUID
+
+import litellm
+from fastapi import APIRouter, Depends, HTTPException
+from pydantic import BaseModel, Field
+from sqlalchemy.ext.asyncio import AsyncSession
+from starlette.responses import StreamingResponse
+
+from extralit_server.contexts import datasets as dataset_ctx
+from extralit_server.database import get_async_db
+from extralit_server.models import Dataset, User, VectorSettings
+from extralit_server.search_engine import SearchEngine, get_search_engine
+from extralit_server.security import auth
+from extralit_server.utils.auth_helpers import GitHubDeviceFlowAuth
+from extralit_server.utils.litellm_context import LiteLLMContext
+
+_LOGGER = logging.getLogger(__name__)
+
+router = APIRouter(tags=["chat"])
+
+
+class ChatMessage(BaseModel):
+    """A single chat message."""
+
+    role: str = Field(..., description="Role of the message sender (user, assistant, system)")
+    content: str = Field(..., description="Content of the message")
+
+
+class ChatRequest(BaseModel):
+    """Request model for chat endpoint."""
+
+    model: str = Field(default="copilot", description="Model to use for chat (e.g., 'copilot')")
+    messages: list[ChatMessage] = Field(..., description="List of chat messages")
+    stream: bool = Field(default=True, description="Whether to stream the response")
+    dataset_id: UUID | None = Field(default=None, description="Optional dataset ID for RAG retrieval")
+    top_k: int = Field(default=5, ge=1, le=20, description="Number of documents to retrieve for RAG")
+
+
+# VS Code headers to mimic for GitHub Copilot compatibility
+COPILOT_HEADERS = {
+    "Editor-Version": "vscode/1.96.2",
+    "Editor-Plugin-Version": "copilot/1.256.0",
+    "User-Agent": "GithubCopilot/1.256.0",
+    "Copilot-Integration-Id": "vscode-chat",
+}
+
+
+def resolve_model_string(model: str) -> str:
+    """
+    Resolve user-friendly model names to LiteLLM model strings.
+
+    Args:
+        model: User-provided model name (e.g., "copilot", "gpt-4")
+
+    Returns:
+        LiteLLM-compatible model string
+    """
+
+    model_mapping = {
+        "copilot": "gpt-4o",  # Updated to gpt-4o which is supported
+        "github-copilot": "gpt-4o",
+    }
+
+    # If it's not in the map, use it as is, but strip github/ if present
+    # to avoid duplication when we pass the provider explicitly
+    resolved = model_mapping.get(model.lower(), model)
+    return resolved.replace("github/", "")
+
+
+async def retrieve_context(
+    db: AsyncSession,
+    search_engine: SearchEngine,
+    dataset_id: UUID,
+    query_text: str,
+    github_token: str,
+    top_k: int = 5,
+) -> str | None:
+    """
+    Retrieve relevant context from a dataset using RAG.
+
+    Args:
+        db: Database session
+        search_engine: Search engine instance
+        dataset_id: ID of the dataset to search
+        query_text: User's query text
+        github_token: GitHub token for embedding API
+        top_k: Number of results to retrieve
+
+    Returns:
+        Formatted context string or None if retrieval fails
+    """
+    try:
+        # Fetch the dataset
+        dataset = await Dataset.get_by(db, id=dataset_id)
+        if not dataset:
+            _LOGGER.warning(f"Dataset {dataset_id} not found")
+            return None
+
+        # Get vector settings for this dataset (use first available or "default")
+        vector_settings = await VectorSettings.get_by(db, dataset_id=dataset.id)
+        if not vector_settings:
+            _LOGGER.warning(f"No vector settings found for dataset {dataset_id}")
+            return None
+
+        _LOGGER.info(f"Generating embedding for query: {query_text[:50]}...")
+
+        # Inject token directly — no os.environ mutation (async-safe)
+        embedding_response = await litellm.aembedding(
+            model="text-embedding-3-small",
+            input=query_text,
+            custom_llm_provider="github",
+            api_key=github_token,
+        )
+        query_embedding = embedding_response["data"][0]["embedding"]
+
+        _LOGGER.info(f"Generated embedding with {len(query_embedding)} dimensions")
+
+        # Perform similarity search
+        search_results = await search_engine.similarity_search(
+            dataset=dataset,
+            vector_settings=vector_settings,
+            value=query_embedding,
+            max_results=top_k,
+            threshold=0.6,  # Minimum similarity threshold
+        )
+
+        if not search_results.items:
+            _LOGGER.info("No relevant documents found")
+            return None
+
+        _LOGGER.info(f"Found {len(search_results.items)} relevant documents")
+
+        # Fetch the actual record data
+        record_ids = [item.record_id for item in search_results.items]
+        records = await dataset_ctx.get_records_by_ids(
+            db=db,
+            dataset_id=dataset.id,
+            records_ids=record_ids,
+        )
+
+        # Build context from retrieved records
+        context_chunks = []
+        for record in records:
+            # Extract text from record fields
+            if record.fields:
+                for field_name, field_value in record.fields.items():
+                    if isinstance(field_value, str):
+                        context_chunks.append(f"[{field_name}]: {field_value}")
+                    elif isinstance(field_value, list):
+                        # Handle chat fields (list of messages)
+                        for msg in field_value:
+                            if isinstance(msg, dict) and "content" in msg:
+                                context_chunks.append(f"[{field_name}]: {msg['content']}")
+
+        if not context_chunks:
+            _LOGGER.warning("No text content found in retrieved records")
+            return None
+
+        context = "\n\n".join(context_chunks[: top_k * 3])  # Limit total context
+        _LOGGER.info(f"Built context with {len(context)} characters from {len(context_chunks)} chunks")
+
+        return context
+
+    except Exception as e:
+        _LOGGER.error(f"Error during RAG retrieval: {e}", exc_info=True)
+        return None
+
+
+@router.post("/chat")
+async def chat(
+    request: ChatRequest,
+    db: Annotated[AsyncSession, Depends(get_async_db)],
+    search_engine: Annotated[SearchEngine, Depends(get_search_engine)],
+    current_user: User = Depends(auth.get_current_user),
+) -> StreamingResponse:
+    """
+    Chat endpoint using LiteLLM with GitHub Copilot and optional RAG.
+
+    This endpoint requires the user to be authenticated with both Extralit
+    and GitHub (via the /auth/github/login flow).
+
+    If dataset_id is provided, the endpoint will perform RAG retrieval:
+    1. Generate embedding for the user's query
+    2. Search for relevant documents in the dataset
+    3. Inject retrieved context into the system prompt
+
+    Args:
+        request: Chat request with model, messages, and optional dataset_id
+        current_user: Authenticated Extralit user
+        db: Database session (injected for RAG)
+        search_engine: Search engine instance (injected for RAG)
+
+    Returns:
+        StreamingResponse with chat completion
+
+    Raises:
+        HTTPException: If user is not authenticated with GitHub
+    """
+    # Check if user has GitHub token
+    github_auth = GitHubDeviceFlowAuth(username=current_user.username)
+    if not github_auth.is_authenticated():
+        raise HTTPException(
+            status_code=401,
+            detail="Not authenticated with GitHub. Please call /auth/github/login first.",
+        )
+
+    # Load the token to set in environment
+    token_data = github_auth.load_token()
+    if not token_data or "access_token" not in token_data:
+        raise HTTPException(
+            status_code=401,
+            detail="Invalid GitHub token. Please re-authenticate.",
+        )
+
+    # Resolve model string
+    litellm_model = resolve_model_string(request.model)
+
+    _LOGGER.info(
+        f"Chat request from {current_user.username} using model {litellm_model}"
+        + (f" with RAG (dataset_id={request.dataset_id})" if request.dataset_id else "")
+    )
+
+    # Convert messages to LiteLLM format
+    messages = [{"role": msg.role, "content": msg.content} for msg in request.messages]
+
+    # RAG: Retrieve context if dataset_id is provided
+    context = None
+    if request.dataset_id:
+        # Extract user's last message as query
+        user_messages = [msg for msg in messages if msg["role"] == "user"]
+        if user_messages:
+            query_text = user_messages[-1]["content"]
+            context = await retrieve_context(
+                db=db,
+                search_engine=search_engine,
+                dataset_id=request.dataset_id,
+                query_text=query_text,
+                github_token=token_data["access_token"],
+                top_k=request.top_k,
+            )
+
+    # Inject context into messages if available
+    if context:
+        system_message = {
+            "role": "system",
+            "content": (
+                "You are a helpful assistant. Use the following context from the knowledge base "
+                "to answer the user's question. If the context doesn't contain relevant information, "
+                "you can use your general knowledge but mention that the information isn't in the context.\n\n"
+                f"Context:\n{context}"
+            ),
+        }
+        # Insert system message at the beginning
+        messages = [system_message, *messages]
+        _LOGGER.info(f"Injected RAG context ({len(context)} chars) into conversation")
+
+    async def stream_response():
+        """Stream the chat completion response."""
+        try:
+            # LiteLLMContext handles XDG_CONFIG_HOME isolation (not token injection)
+            with LiteLLMContext(username=current_user.username):
+                # Inject token explicitly — no os.environ mutation (async-safe)
+                response = await litellm.acompletion(
+                    model=litellm_model,
+                    messages=messages,
+                    stream=request.stream,
+                    extra_headers=COPILOT_HEADERS,
+                    custom_llm_provider="github",
+                    api_key=token_data["access_token"],
+                )
+
+            if request.stream:
+                # Stream the response chunks
+                async for chunk in response:
+                    if chunk.choices and len(chunk.choices) > 0:
+                        delta = chunk.choices[0].delta
+                        if hasattr(delta, "content") and delta.content:
+                            # Send as SSE format (Standard Extralit/ChatGPT format)
+                            yield f"data: {delta.content}\n\n"
+                yield "data: [DONE]\n\n"
+            else:
+                # Non-streaming response
+                if response.choices and len(response.choices) > 0:
+                    content = response.choices[0].message.content
+                    yield f"data: {content}\n\n"
+                yield "data: [DONE]\n\n"
+
+        except Exception as e:
+            _LOGGER.error(f"Error in chat completion for {current_user.username}: {e}")
+            # Ensure the error is returned in a format the frontend can handle
+            error_msg = str(e).replace('"', '\\"')
+            yield f'data: {{"error": "{error_msg}"}}\n\n'
+
+    return StreamingResponse(
+        stream_response(),
+        media_type="text/event-stream",
+    )
+
+
+@router.get("/chat/models")
+async def list_models(current_user: User = Depends(auth.get_current_user)) -> dict[str, Any]:
+    """
+    List available chat models.
+
+    Returns:
+        Dictionary with available models
+    """
+    return {
+        "models": [
+            {
+                "id": "copilot",
+                "name": "GitHub Copilot",
+                "description": "GitHub Copilot chat model with optional RAG support",
+                "requires_auth": True,
+                "supports_rag": True,
+            },
+        ],
+    }
diff --git a/extralit-server/src/extralit_server/api/handlers/v1/github_auth.py b/extralit-server/src/extralit_server/api/handlers/v1/github_auth.py
new file mode 100644
index 000000000..ea0f1a066
--- /dev/null
+++ b/extralit-server/src/extralit_server/api/handlers/v1/github_auth.py
@@ -0,0 +1,181 @@
+# Copyright 2024-present, Extralit Labs, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+GitHub authentication endpoints for Copilot integration.
+"""
+
+import logging
+
+from fastapi import APIRouter, Depends
+from pydantic import BaseModel
+
+from extralit_server.models import User
+from extralit_server.security import auth
+from extralit_server.utils.auth_helpers import GitHubDeviceFlowAuth
+
+_LOGGER = logging.getLogger(__name__)
+
+router = APIRouter(tags=["auth"])
+
+
+class AuthStatusResponse(BaseModel):
+    """Response model for auth status check."""
+
+    authenticated: bool
+    username: str
+
+
+class DeviceFlowResponse(BaseModel):
+    """Response model for device flow initiation."""
+
+    device_code: str  # <--- ADDED THIS FIELD
+    user_code: str
+    verification_uri: str
+    expires_in: int
+    interval: int
+
+
+@router.get("/auth/github/status")
+async def get_auth_status(current_user: User = Depends(auth.get_current_user)) -> AuthStatusResponse:
+    """
+    Check if the current user has authenticated with GitHub for Copilot access.
+
+    Returns:
+        AuthStatusResponse with authentication status and username
+    """
+    github_auth = GitHubDeviceFlowAuth(username=current_user.username)
+    is_authenticated = github_auth.is_authenticated()
+
+    _LOGGER.info(f"Auth status check for {current_user.username}: {is_authenticated}")
+
+    return AuthStatusResponse(
+        authenticated=is_authenticated,
+        username=current_user.username,
+    )
+
+
+@router.post("/auth/github/login")
+async def initiate_github_login(current_user: User = Depends(auth.get_current_user)) -> DeviceFlowResponse:
+    """
+    Initiate GitHub Device Flow authentication.
+
+    This endpoint starts the OAuth Device Flow and returns the user code
+    and verification URI that the user should visit to authorize the application.
+
+    Returns:
+        DeviceFlowResponse with device_code, user_code, verification_uri, expires_in, and interval
+
+    Raises:
+        ValueError: If GitHub client ID is not configured
+    """
+    github_auth = GitHubDeviceFlowAuth(username=current_user.username)
+
+    try:
+        flow_data = await github_auth.initiate_flow()
+        _LOGGER.info(f"Initiated GitHub Device Flow for {current_user.username}")
+
+        # Return device_code so the client can use it to poll for the token
+        return DeviceFlowResponse(
+            device_code=flow_data["device_code"],  # <--- ADDED THIS ASSIGNMENT
+            user_code=flow_data["user_code"],
+            verification_uri=flow_data["verification_uri"],
+            expires_in=flow_data["expires_in"],
+            interval=flow_data["interval"],
+        )
+    except ValueError as e:
+        _LOGGER.error(f"Failed to initiate GitHub Device Flow: {e}")
+        raise
+
+
+class PollTokenRequest(BaseModel):
+    """Request model for polling token."""
+
+    device_code: str
+
+
+class PollTokenResponse(BaseModel):
+    """Response model for polling token."""
+
+    status: str  # "pending", "authorized", "error"
+    message: str | None = None
+
+
+@router.post("/auth/github/poll")
+async def poll_github_token(
+    request: PollTokenRequest,
+    current_user: User = Depends(auth.get_current_user),
+) -> PollTokenResponse:
+    """
+    Poll for GitHub access token after user authorization.
+
+    This endpoint should be called by the client after the user has visited
+    the verification URI and entered their code.
+
+    Args:
+        request: Contains the device_code from the login initiation
+
+    Returns:
+        PollTokenResponse indicating status of authorization
+
+    Raises:
+        ValueError: If authorization fails or expires
+    """
+    github_auth = GitHubDeviceFlowAuth(username=current_user.username)
+
+    try:
+        # Poll with a short timeout (single attempt)
+        token_data = await github_auth.poll_for_token(
+            device_code=request.device_code,
+            interval=5,
+            timeout=10,  # Just one quick check
+        )
+
+        # Save the token
+        github_auth.save_token(token_data)
+
+        _LOGGER.info(f"Successfully authorized and saved token for {current_user.username}")
+
+        return PollTokenResponse(
+            status="authorized",
+            message="Successfully authenticated with GitHub",
+        )
+    except TimeoutError:
+        # User hasn't authorized yet
+        return PollTokenResponse(
+            status="pending",
+            message="Authorization pending",
+        )
+    except ValueError as e:
+        _LOGGER.error(f"Token polling error for {current_user.username}: {e}")
+        return PollTokenResponse(
+            status="error",
+            message=str(e),
+        )
+
+
+@router.delete("/auth/github/logout")
+async def logout_github(current_user: User = Depends(auth.get_current_user)) -> dict[str, str]:
+    """
+    Clear the stored GitHub token for the current user.
+
+    Returns:
+        Success message
+    """
+    github_auth = GitHubDeviceFlowAuth(username=current_user.username)
+    github_auth.clear_token()
+
+    _LOGGER.info(f"Logged out GitHub for {current_user.username}")
+
+    return {"message": "Successfully logged out from GitHub"}
diff --git a/extralit-server/src/extralit_server/api/routes.py b/extralit-server/src/extralit_server/api/routes.py
index 20ce8322f..b483da913 100644
--- a/extralit-server/src/extralit_server/api/routes.py
+++ b/extralit-server/src/extralit_server/api/routes.py
@@ -22,6 +22,9 @@
 from extralit_server._version import __version__ as extralit_version
 from extralit_server.api.errors.v1.exception_handlers import add_exception_handlers as add_exception_handlers_v1
 from extralit_server.api.handlers.v1 import authentication as authentication_v1
+from extralit_server.api.handlers.v1 import (
+    chat as chat_v1,
+)
 from extralit_server.api.handlers.v1 import (
     datasets as datasets_v1,
 )
@@ -34,6 +37,9 @@
 from extralit_server.api.handlers.v1 import (
     files as files_v1,
 )
+from extralit_server.api.handlers.v1 import (
+    github_auth as github_auth_v1,
+)
 from extralit_server.api.handlers.v1 import (
     imports as imports_v1,
 )
@@ -117,6 +123,8 @@ def create_api_v1():
         files_v1.router,
         models_v1.router,
         imports_v1.router,
+        github_auth_v1.router,
+        chat_v1.router,
     ]:
         api_v1.include_router(router)
 
diff --git a/extralit-server/src/extralit_server/jobs/preload.py b/extralit-server/src/extralit_server/jobs/preload.py
index 76ef65204..336950a27 100644
--- a/extralit-server/src/extralit_server/jobs/preload.py
+++ b/extralit-server/src/extralit_server/jobs/preload.py
@@ -31,7 +31,7 @@
     document_jobs,
     hub_jobs,
     import_jobs,
-    # ocr_jobs,
+    ocr_jobs,
     webhook_jobs,
 )
 from extralit_server.models.database import Dataset, Document, Record, User, Workspace  # noqa: F401
diff --git a/extralit-server/src/extralit_server/utils/auth_helpers.py b/extralit-server/src/extralit_server/utils/auth_helpers.py
new file mode 100644
index 000000000..f175ee0ec
--- /dev/null
+++ b/extralit-server/src/extralit_server/utils/auth_helpers.py
@@ -0,0 +1,219 @@
+# Copyright 2024-present, Extralit Labs, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+GitHub Device Flow authentication utilities for GitHub Copilot integration.
+"""
+
+import asyncio
+import json
+import logging
+import time
+from pathlib import Path
+from typing import Any
+
+import httpx
+
+from extralit_server.settings import settings
+
+_LOGGER = logging.getLogger(__name__)
+
+
+class GitHubDeviceFlowAuth:
+    """
+    Helper class for GitHub Device Flow authentication.
+
+    This implements the OAuth Device Flow for authenticating with GitHub
+    to obtain tokens for GitHub Copilot access.
+
+    Uses the official VS Code OAuth app credentials to ensure compatibility
+    with GitHub Copilot.
+    """
+
+    # Official VS Code OAuth App Client ID (public, safe to hardcode)
+    # This is the ONLY client ID that GitHub Copilot accepts
+    VSCODE_CLIENT_ID = "01ab8ac9400c4e429b23"
+
+    DEVICE_CODE_URL = "https://github.com/login/device/code"
+    ACCESS_TOKEN_URL = "https://github.com/login/oauth/access_token"
+
+    # Scopes required for GitHub Copilot access
+    SCOPE = "read:user copilot"
+
+    def __init__(self, username: str):
+        """
+        Initialize the GitHub Device Flow helper.
+
+        Args:
+            username: The Extralit username (used for token storage path)
+        """
+        self.username = username
+
+    def _get_config_dir(self) -> Path:
+        """Get the user-specific config directory for token storage."""
+        config_path = Path(settings.home_path) / "data" / "users" / self.username / "config"
+        config_path.mkdir(parents=True, exist_ok=True)
+        return config_path
+
+    def _get_token_path(self) -> Path:
+        """Get the full path to the token file."""
+        return self._get_config_dir() / "github_token.json"
+
+    async def initiate_flow(self) -> dict[str, Any]:
+        """
+        Initiate the GitHub Device Flow.
+
+        Returns:
+            dict containing:
+                - device_code: Code for polling
+                - user_code: Code for user to enter
+                - verification_uri: URL for user to visit
+                - expires_in: Seconds until codes expire
+                - interval: Recommended polling interval in seconds
+
+        Raises:
+            httpx.HTTPError: If the request to GitHub fails
+        """
+        async with httpx.AsyncClient() as client:
+            response = await client.post(
+                self.DEVICE_CODE_URL,
+                data={
+                    "client_id": self.VSCODE_CLIENT_ID,
+                    "scope": self.SCOPE,
+                },
+                headers={"Accept": "application/json"},
+            )
+            response.raise_for_status()
+            data = response.json()
+
+        _LOGGER.info(f"Initiated GitHub Device Flow for user {self.username}")
+        return {
+            "device_code": data["device_code"],
+            "user_code": data["user_code"],
+            "verification_uri": data["verification_uri"],
+            "expires_in": data["expires_in"],
+            "interval": data["interval"],
+        }
+
+    async def poll_for_token(self, device_code: str, interval: int = 5, timeout: int = 900) -> dict[str, str]:
+        """
+        Poll GitHub for the access token after user authorization.
+
+        Args:
+            device_code: The device code from initiate_flow()
+            interval: Seconds to wait between polling attempts
+            timeout: Maximum seconds to wait for authorization
+
+        Returns:
+            dict containing:
+                - access_token: The GitHub access token
+                - token_type: Type of token (usually "bearer")
+                - scope: Granted scopes
+
+        Raises:
+            TimeoutError: If user doesn't authorize within timeout
+            ValueError: If authorization is denied or expires
+            httpx.HTTPError: If the request to GitHub fails
+        """
+        start_time = time.time()
+        async with httpx.AsyncClient() as client:
+            while True:
+                if time.time() - start_time > timeout:
+                    raise TimeoutError("GitHub Device Flow timed out waiting for user authorization")
+
+                response = await client.post(
+                    self.ACCESS_TOKEN_URL,
+                    data={
+                        "client_id": self.VSCODE_CLIENT_ID,
+                        "device_code": device_code,
+                        "grant_type": "urn:ietf:params:oauth:grant-type:device_code",
+                    },
+                    headers={"Accept": "application/json"},
+                )
+
+                data = response.json()
+
+                if "access_token" in data:
+                    _LOGGER.info(f"Successfully obtained GitHub token for user {self.username}")
+                    return {
+                        "access_token": data["access_token"],
+                        "token_type": data.get("token_type", "bearer"),
+                        "scope": data.get("scope", ""),
+                    }
+                elif data.get("error") == "authorization_pending":
+                    # User hasn't authorized yet, keep polling
+                    await asyncio.sleep(interval)
+                elif data.get("error") == "slow_down":
+                    # We're polling too fast, increase interval
+                    interval += 5
+                    await asyncio.sleep(interval)
+                elif data.get("error") in ("expired_token", "access_denied"):
+                    raise ValueError(f"GitHub authorization {data['error']}: {data.get('error_description', '')}")
+                else:
+                    raise ValueError(f"Unexpected error from GitHub: {data}")
+
+    def save_token(self, token_data: dict[str, str]) -> None:
+        """
+        Save the GitHub token to disk.
+
+        Args:
+            token_data: Token data containing access_token, token_type, scope
+        """
+        token_path = self._get_token_path()
+        with open(token_path, "w") as f:
+            json.dump(token_data, f)
+
+        # Set restrictive permissions (read/write for owner only)
+        token_path.chmod(0o600)
+
+        _LOGGER.info(f"Saved GitHub token for user {self.username} to {token_path}")
+
+    def load_token(self) -> dict[str, str] | None:
+        """
+        Load the GitHub token from disk.
+
+        Returns:
+            Token data dict if exists, None otherwise
+        """
+        token_path = self._get_token_path()
+        if not token_path.exists():
+            return None
+
+        try:
+            with open(token_path) as f:
+                token_data = json.load(f)
+            _LOGGER.debug(f"Loaded GitHub token for user {self.username}")
+            return token_data
+        except (json.JSONDecodeError, OSError) as e:
+            _LOGGER.error(f"Failed to load token for user {self.username}: {e}")
+            return None
+
+    def is_authenticated(self) -> bool:
+        """
+        Check if a valid GitHub token exists for this user.
+
+        Returns:
+            True if token file exists and is readable, False otherwise
+        """
+        token_data = self.load_token()
+        return token_data is not None and "access_token" in token_data
+
+    def clear_token(self) -> None:
+        """
+        Remove the stored GitHub token.
+        """
+        token_path = self._get_token_path()
+        if token_path.exists():
+            token_path.unlink()
+            _LOGGER.info(f"Cleared GitHub token for user {self.username}")
diff --git a/extralit-server/src/extralit_server/utils/litellm_context.py b/extralit-server/src/extralit_server/utils/litellm_context.py
new file mode 100644
index 000000000..eadcc8991
--- /dev/null
+++ b/extralit-server/src/extralit_server/utils/litellm_context.py
@@ -0,0 +1,78 @@
+# Copyright 2024-present, Extralit Labs, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+Context manager for LiteLLM environment isolation.
+
+This ensures that each user's GitHub Copilot tokens are isolated
+by temporarily setting XDG_CONFIG_HOME to user-specific directories.
+"""
+
+import os
+from pathlib import Path
+from typing import Any
+
+from extralit_server.settings import settings
+
+
+class LiteLLMContext:
+    """
+    Context manager for isolating LiteLLM environment per user.
+
+    This temporarily sets XDG_CONFIG_HOME to point to a user-specific
+    directory, ensuring that LiteLLM uses the correct GitHub token
+    for each user without leakage.
+
+    Example:
+        with LiteLLMContext(username="alice"):
+            # LiteLLM will use alice's GitHub token
+            response = await litellm.acompletion(...)
+    """
+
+    def __init__(self, username: str):
+        """
+        Initialize the context manager.
+
+        Args:
+            username: The Extralit username for token isolation
+        """
+        self.username = username
+        self.user_config_dir = str(Path(settings.home_path) / "data" / "users" / username / "config")
+        self.original_xdg_config_home: str | None = None
+
+    def __enter__(self) -> "LiteLLMContext":
+        """
+        Enter the context: set XDG_CONFIG_HOME to user-specific directory.
+        """
+        # Save original value
+        self.original_xdg_config_home = os.environ.get("XDG_CONFIG_HOME")
+
+        # Set to user-specific directory
+        os.environ["XDG_CONFIG_HOME"] = self.user_config_dir
+
+        # Ensure directory exists
+        Path(self.user_config_dir).mkdir(parents=True, exist_ok=True)
+
+        return self
+
+    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+        """
+        Exit the context: restore original XDG_CONFIG_HOME.
+        """
+        # Restore original value
+        if self.original_xdg_config_home is not None:
+            os.environ["XDG_CONFIG_HOME"] = self.original_xdg_config_home
+        else:
+            # Remove if it wasn't set before
+            os.environ.pop("XDG_CONFIG_HOME", None)
diff --git a/extralit/pyproject.toml b/extralit/pyproject.toml
index a63f5b099..4a03735dc 100644
--- a/extralit/pyproject.toml
+++ b/extralit/pyproject.toml
@@ -1,13 +1,10 @@
 [project]
 name = "extralit"
 description = "Open-source tool for accurate & fast scientific literature data extraction with LLM and human-in-the-loop."
-authors = [
-    { name = "Extralit Labs", email = "extralit.contact@gmail.com" },
-]
-maintainers = [
-    { name = "Extralit Labs", email = "extralit.contact@gmail.com" },
-]
-requires-python = ">=3.9.2, <3.14"
+authors = [{ name = "Extralit Labs", email = "extralit.contact@gmail.com" }]
+maintainers = [{ name = "Extralit Labs", email = "extralit.contact@gmail.com" }]
+# requires-python = ">=3.9.2, <3.14"
+requires-python = ">=3.11,<3.14"
 readme = "README.md"
 license = { text = "Apache 2.0" }
 
@@ -19,7 +16,7 @@ dependencies = [
     "huggingface_hub>=0.22.0",
     "tqdm>=4.60.0",
     "rich>=10.0.0",
-    "datasets~=3.6.0",
+    "datasets~=3.0.2",
     "pillow>=9.5.0",
     "standardwebhooks>=1.0.0",
     "typer>=0.9.0",
@@ -29,12 +26,9 @@ dependencies = [
     "pandera[io]>=0.26.1, < 0.27.0",
     "pandas>=2.3.2",
 
-    "llama-index-embeddings-openai>=0.5.0"
-]
-nlp = [
-    "textdescriptives",
-    "setfit ~= 0.7.0",
+    "llama-index-embeddings-openai>=0.5.0",
 ]
+nlp = ["textdescriptives", "setfit ~= 0.7.0"]
 
 [build-system]
 requires = ["pdm-backend>=2.0.0", "setuptools>=68.0.0"]
@@ -45,15 +39,15 @@ line-length = 120
 
 [tool.ruff.lint]
 select = [
-    "F",    # Pyflakes (undefined names, logical issues)
-    "E7",   # Syntax/indentation errors
-    "E9",   # Runtime-like errors
-    "E4",   # Import-related errors (E401, E402, etc.)
-    "B012", # return in finally (can suppress real exceptions)
-    "B",    # flake8-bugbear (broader than just B012)
-    "C4",   # flake8-comprehensions
-    "I",    # isort (import sorting)
-    "UP",   # pyupgrade (modern Python syntax)
+    "F",     # Pyflakes (undefined names, logical issues)
+    "E7",    # Syntax/indentation errors
+    "E9",    # Runtime-like errors
+    "E4",    # Import-related errors (E401, E402, etc.)
+    "B012",  # return in finally (can suppress real exceptions)
+    "B",     # flake8-bugbear (broader than just B012)
+    "C4",    # flake8-comprehensions
+    "I",     # isort (import sorting)
+    "UP",    # pyupgrade (modern Python syntax)
     "ASYNC", # flake8-async - async/await specific rules
     "PLE",   # pylint errors (includes await-outside-async)
     "FAST",  # FastAPI-specific rules (valuable for your backend)
@@ -70,7 +64,7 @@ ignore = [
     "RUF012",
     "B008",
     "FAST002",
-    "B023"
+    "B023",
 ]
 
 [tool.ruff.lint.per-file-ignores]