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20 Commits

Author SHA1 Message Date
Clelia (Astra) Bertelli 3d05fe5d77 chore: bump ts version for parse (#855) 2025-08-08 11:43:28 +02:00
Clelia (Astra) Bertelli c16ca673af feat: add parse and getTables methods to LlamaParseReader (#851)
* feat: add parse and getTables methods to LlamaParseReader

* feat: add tests

* fix: loop logic to fix test 🙈

* chore: implement suggestions
2025-08-08 11:35:54 +02:00
Neeraj Pradhan 6619034bce Bump version to 0.6.56 (#853) 2025-08-07 15:42:19 -07:00
Neeraj Pradhan c56fb5d8f7 Update docs for extract (#852)
* Update docs for extract

* add more details on async
2025-08-07 13:59:53 -07:00
Peter Rowlands (변기호) b407a5edb5 parse: expose HTML output for result table items when possible (#850) 2025-08-07 08:44:09 -06:00
Clelia (Astra) Bertelli e6a27d17fb wip: implementing Extract in TS (#839)
* wip: implementing Extract in TS

* feat: main implementation (untested)

* ci: lint

* feat: add stateless api support and retries mechanisms

* refactor: working LlamaExtract + tests

* refactor: working LlamaExtract + tests

* correct stateless extraction test

* correct stateless extraction test

* chore: intervals are now in seconds, extractStateless -> extract, support for multiple file types

* fix: infer file type

* fix: infer file type

* fix: change agent name

* docs: adding example

* docs: add link to example in extract.md
2025-08-07 12:18:58 +02:00
Peter Rowlands (변기호) 34077fd479 py: bump version to 0.6.55 (#846) 2025-08-06 13:02:35 +09:00
Peter Rowlands (변기호) 7a68ad5a7f utils/parse: add method to check pypi for package updates (#844)
add utils method to check pypi for package updates
2025-08-06 12:36:42 +09:00
Neeraj Pradhan 74a1b6c2f2 Update Extract with stateless API (#840) 2025-08-05 13:33:07 -07:00
Clelia (Astra) Bertelli 9a90ae5264 fix: run e2e only on 3.12 (#838)
* fix: run e2e only on 3.12

* ci: workflow name and linting

* ci: job name correction 🤦

* fix: test e2e only on PR

* chore: differentiate between e2e and non-e2e tests

* ci: run all tests using explicit patterns

* chore: moving tests

* fix: change name to test_index in unit_tests
2025-08-05 21:45:16 +02:00
Clelia (Astra) Bertelli 310c1bc105 docs: move ts examples in their own top-level folder (#845) 2025-08-05 19:06:32 +02:00
Marcus Schiesser cd20b29299 chore: build before releaes (#843)
* chore: add e2e tests and use monorepo for TS

* chore: build main package to run e2e tests

* chore: add build before releasing

* fix linting

---------

Co-authored-by: Logan Markewich <logan.markewich@live.com>
2025-08-05 10:09:27 +02:00
Neeraj Pradhan 0cb7aeb81c Add claude code workflow with restricted access (#841) 2025-08-04 17:02:41 -07:00
Marcus Schiesser 98db5eeeae chore: remove llamaindex dep (#826)
* chore: remove llamaindex dep

* chore: remove all dependency on llamaindex

* feat: restructure docs/examples

* chore: remove llamaindex dep

* chore: remove all dependency on llamaindex

* simplify querytool

* fix tests

* revert version

* add missing import

* remove unused file

* feat: change default description to adapt it to LlamaCloud Index

---------

Co-authored-by: Clelia (Astra) Bertelli <clelia@runllama.ai>
2025-08-04 11:48:24 +02:00
Adrian Lyjak c21cb34ff6 fix: Fix bugs in ExtractedFieldMetadata parser (#834)
* fix: Fix bugs in ExtractedFieldMetadata parser

- Wasn't recursing through lists properly
- Fix field names, names changed or I copied incorrectly
- Handle reasoning on a parent object

* version script fixes

* update versions

* skip the unrelated failing test for now
2025-08-01 16:08:16 -04:00
Adrian Lyjak e28c7b9d92 Copy extracted citations to the new repo (#832)
* Copy extracted citations to the new repo

* fix spell check

* ignore examples too

* tweak timeout

* add changes to github actions

* shrug
2025-07-31 19:34:24 +02:00
Clelia (Astra) Bertelli ee4e565604 Example Notebooks (#829)
* fix: add symlink to avoid breaking links

* feat: copy examples
2025-07-31 16:54:12 +02:00
Clelia (Astra) Bertelli 6dbb089f4c delete examples (#830) 2025-07-31 16:53:54 +02:00
Logan Markewich c4b694db8d update symlink 2025-07-31 08:44:30 -06:00
Clelia (Astra) Bertelli 97f428ad06 fix: add symlink to avoid breaking links (#828) 2025-07-31 08:39:44 -06:00
273 changed files with 7631 additions and 1908 deletions
-8
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@@ -1,8 +0,0 @@
# Changesets
Hello and welcome! This folder has been automatically generated by `@changesets/cli`, a build tool that works
with multi-package repos, or single-package repos to help you version and publish your code. You can
find the full documentation for it [in our repository](https://github.com/changesets/changesets)
We have a quick list of common questions to get you started engaging with this project in
[our documentation](https://github.com/changesets/changesets/blob/main/docs/common-questions.md)
-11
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@@ -1,11 +0,0 @@
{
"$schema": "https://unpkg.com/@changesets/config@3.1.1/schema.json",
"changelog": "@changesets/cli/changelog",
"commit": false,
"fixed": [],
"linked": [],
"access": "restricted",
"baseBranch": "main",
"updateInternalDependencies": "patch",
"ignore": []
}
+7 -4
View File
@@ -6,8 +6,11 @@ on:
push:
branches:
- main
paths:
- "py/**"
pull_request:
paths:
- "py/**"
env:
UV_VERSION: "0.7.20"
@@ -35,16 +38,16 @@ jobs:
run: python --version
- name: Build
working-directory: py/llama-cloud-services-py
working-directory: py
run: uv build
- name: Test installing built package
shell: bash
working-directory: py/llama-cloud-services-py
working-directory: py
run: |
uv venv
uv pip install dist/*.whl
- name: Test import
working-directory: py/llama-cloud-services-py
working-directory: py
run: uv run -- python -c "import llama_cloud_services"
+36
View File
@@ -0,0 +1,36 @@
name: Build Package - TypeScript
on:
push:
branches:
- main
paths:
- "ts/**"
pull_request:
paths:
- "ts/**"
jobs:
pre_release:
name: Pre Release
runs-on: ubuntu-latest
steps:
- name: Checkout Repo
uses: actions/checkout@v4
- uses: pnpm/action-setup@v4
with:
version: 10
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version-file: "ts/llama_cloud_services/.nvmrc"
- name: Install dependencies
working-directory: ts/llama_cloud_services/
run: pnpm install --no-frozen-lockfile
- name: Build
working-directory: ts/llama_cloud_services/
run: pnpm run build
-67
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@@ -1,67 +0,0 @@
name: Release
on:
push:
branches:
- main
concurrency: ${{ github.workflow }}-${{ github.ref }}
jobs:
release:
name: Release
runs-on: ubuntu-latest
steps:
- name: Checkout Repo
uses: actions/checkout@v4
- uses: pnpm/action-setup@v3
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install uv
uses: astral-sh/setup-uv@v3
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version-file: ".nvmrc"
cache: "pnpm"
- name: Install dependencies
run: pnpm install
- name: Add auth token to .npmrc file
run: |
cat << EOF >> ".npmrc"
//registry.npmjs.org/:_authToken=$NPM_TOKEN
EOF
env:
NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
- name: Get changeset status
id: get-changeset-status
run: |
pnpm changeset status --output .changeset/status.json
new_version=$(jq -r '.releases[0].newVersion' < .changeset/status.json)
rm -v .changeset/status.json
echo "new-version=${new_version}" >> "$GITHUB_OUTPUT"
- name: Create Release Pull Request or Publish to npm
id: changesets
uses: changesets/action@v1
with:
commit: Release ${{ steps.get-changeset-status.outputs.new-version }}
title: Release ${{ steps.get-changeset-status.outputs.new-version }}
# bump versions
version: pnpm new-version
# build package and call changeset publish
publish: pnpm release
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
LLAMA_PARSE_PYPI_TOKEN: ${{ secrets.LLAMA_PARSE_PYPI_TOKEN }}
UV_PUBLISH_TOKEN: ${{ secrets.LLAMA_PARSE_PYPI_TOKEN }}
+95
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@@ -0,0 +1,95 @@
name: Claude Code
on:
issue_comment:
types: [created]
pull_request_review_comment:
types: [created]
issues:
types: [opened, assigned]
pull_request_review:
types: [submitted]
jobs:
claude:
if: |
(github.event_name == 'issue_comment' && contains(github.event.comment.body, '@claude')) ||
(github.event_name == 'pull_request_review_comment' && contains(github.event.comment.body, '@claude')) ||
(github.event_name == 'pull_request_review' && contains(github.event.review.body, '@claude')) ||
(github.event_name == 'issues' && (contains(github.event.issue.body, '@claude') || contains(github.event.issue.title, '@claude')))
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: read
issues: read
id-token: write
steps:
- name: Check repository access
id: check-access
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
# Get the user who triggered the event
case "${{ github.event_name }}" in
"issue_comment")
USER="${{ github.event.comment.user.login }}"
;;
"pull_request_review_comment")
USER="${{ github.event.comment.user.login }}"
;;
"pull_request_review")
USER="${{ github.event.review.user.login }}"
;;
"issues")
USER="${{ github.event.issue.user.login }}"
;;
esac
echo "Checking repository access for user: $USER"
# Check if user has write access to the repository
REPO="${{ github.repository }}"
if gh api repos/$REPO/collaborators/$USER/permission --jq '.permission' | grep -E "(admin|write)" > /dev/null 2>&1; then
echo "User $USER has write access to the repository"
echo "authorized=true" >> $GITHUB_OUTPUT
else
echo "User $USER does not have write access to the repository"
echo "authorized=false" >> $GITHUB_OUTPUT
exit 1
fi
- name: Checkout repository
if: steps.check-access.outputs.authorized == 'true'
uses: actions/checkout@v4
with:
fetch-depth: 1
- name: Run Claude Code
if: steps.check-access.outputs.authorized == 'true'
id: claude
uses: anthropics/claude-code-action@beta
with:
anthropic_api_key: ${{ secrets.ANTHROPIC_GITHUB_API_KEY }}
# Optional: Specify model (defaults to Claude Sonnet 4, uncomment for Claude Opus 4)
# model: "claude-opus-4-20250514"
# Optional: Customize the trigger phrase (default: @claude)
# trigger_phrase: "/claude"
# Optional: Trigger when specific user is assigned to an issue
# assignee_trigger: "claude-bot"
# Optional: Allow Claude to run specific commands
# Allow bash commands to be run, for things like running tests, linting, etc.
allowed_tools: "Bash(rg:*),Bash(find:*),Bash(grep:*),Bash(pnpm:*),Bash(npm:*),Bash(uv:*),Bash(pip:*),Bash(pipx:*),Bash(make:*),Bash(cd:*),WebFetch"
# Optional: Add custom instructions for Claude to customize its behavior for your project
# custom_instructions: |
# Follow our coding standards
# Ensure all new code has tests
# Use TypeScript for new files
# Optional: Custom environment variables for Claude
# claude_env: |
# NODE_ENV: test
+1 -1
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@@ -31,5 +31,5 @@ jobs:
- name: Run linter
shell: bash
working-directory: py/llama-cloud-services-py
working-directory: py
run: uv run -- pre-commit run -a
@@ -1,10 +1,14 @@
name: Lint, Format and Build - TypeScript
name: Lint - TypeScript
on:
push:
branches:
- main
paths:
- "ts/**"
pull_request:
paths:
- "ts/**"
env:
TURBO_TOKEN: ${{ secrets.TURBO_TOKEN }}
@@ -18,13 +22,16 @@ jobs:
- uses: actions/checkout@v4
- uses: pnpm/action-setup@v4
with:
version: "10.12.4"
version: 10
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version-file: "ts/llama_cloud_services/.nvmrc"
- name: Install dependencies
working-directory: ts/llama_cloud_services/
run: pnpm install --no-frozen-lockfile
- name: Run lint, formatting and building
run: pnpm pre-commit
- name: Run lint
working-directory: ts/llama_cloud_services/
run: pnpm run lint
- name: Run Prettier
working-directory: ts/llama_cloud_services/
run: pnpm run format
+25 -12
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@@ -24,20 +24,33 @@ jobs:
with:
version: ${{ env.UV_VERSION }}
- name: Install pnpm
- uses: pnpm/action-setup@v4
with:
version: 10
- name: Set up Python
run: uv python install
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version-file: "ts/llama_cloud_services/.nvmrc"
- name: Display Python version
run: python --version
- name: Publish llama-cloud-services and llama-parse
run: pnpm release-py
env:
LLAMA_PARSE_PYPI_TOKEN: ${{ secrets.LLAMA_PARSE_PYPI_TOKEN }}
- name: Build
working-directory: py
run: uv build
- name: Test installing built package
shell: bash
working-directory: py
run: |
uv venv
uv pip install dist/*.whl
- name: Publish package
shell: bash
working-directory: py
run: uv publish --token ${{ secrets.LLAMA_PARSE_PYPI_TOKEN }}
- name: Build and publish llama-parse
working-directory: py/llama_parse/
run: |
uv build
uv publish --token ${{ secrets.LLAMA_PARSE_PYPI_TOKEN }}
- name: Create GitHub Release
id: create_release
+6 -2
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@@ -22,9 +22,12 @@ jobs:
node-version-file: "ts/llama_cloud_services/.nvmrc"
- name: Install dependencies
working-directory: ts/llama_cloud_services
run: pnpm install --no-frozen-lockfile
- name: Run Build
working-directory: ts/llama_cloud_services/
run: pnpm build
- name: Build tarball
run: |
pnpm pack
@@ -36,10 +39,11 @@ jobs:
NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
- name: Release
working-directory: ts/llama_cloud_services
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
run: pnpm release-ts
run: pnpm publish --access public --no-git-checks
- name: Create release
uses: ncipollo/release-action@v1
+38
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@@ -0,0 +1,38 @@
name: Test end-to-end - Python
on:
pull_request:
paths:
- "py/**"
env:
UV_VERSION: "0.7.20"
LLAMA_CLOUD_API_KEY: ${{ secrets.LLAMA_CLOUD_API_KEY }}
jobs:
test_e2e:
runs-on: ubuntu-latest
strategy:
# You can use PyPy versions in python-version.
# For example, pypy-2.7 and pypy-3.8
matrix:
python-version: ["3.12"]
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
version: ${{ env.UV_VERSION }}
- name: Set up Python
run: uv python install ${{ matrix.python-version }} && uv python pin ${{ matrix.python-version }}
- name: Run Tests
working-directory: py
run: uv run pytest unit_tests/ tests/ -v
- name: Remove virtual environment
working-directory: py
run: rm -rf .venv/
+7 -4
View File
@@ -4,11 +4,14 @@ on:
push:
branches:
- main
paths:
- "py/**"
pull_request:
paths:
- "py/**"
env:
UV_VERSION: "0.7.20"
LLAMA_CLOUD_API_KEY: ${{ secrets.LLAMA_CLOUD_API_KEY }}
jobs:
test:
@@ -31,9 +34,9 @@ jobs:
run: uv python install ${{ matrix.python-version }} && uv python pin ${{ matrix.python-version }}
- name: Run Tests
working-directory: py/llama-cloud-services-py
run: uv run -- pytest tests/**/test_*.py
working-directory: py
run: uv run pytest unit_tests/ -v
- name: Remove virtual environment
working-directory: py/llama-cloud-services-py
working-directory: py
run: rm -rf .venv/
+14 -6
View File
@@ -4,9 +4,11 @@ on:
push:
branches:
- main
paths:
- "ts/**"
pull_request:
branches:
- main
paths:
- "ts/**"
env:
TURBO_TOKEN: ${{ secrets.TURBO_TOKEN }}
@@ -15,7 +17,8 @@ env:
LLAMA_CLOUD_API_KEY: ${{ secrets.LLAMA_CLOUD_API_KEY }}
jobs:
lint:
test:
name: Test - TypeScript
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
@@ -27,8 +30,13 @@ jobs:
with:
node-version-file: "ts/llama_cloud_services/.nvmrc"
- name: Install dependencies
working-directory: ts/llama_cloud_services/
run: pnpm install --no-frozen-lockfile
- name: Run tests
- name: Run Build
working-directory: ts/llama_cloud_services/
run: pnpm test --run
run: pnpm build
- name: Run Tests
working-directory: ts/llama_cloud_services/
run: pnpm test
- name: Run e2e tests
working-directory: ts/e2e-tests/
run: pnpm test
-2
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@@ -9,5 +9,3 @@ __pycache__/
node_modules/
.turbo/
dist/
pnpm-lock.yaml
.venv/
+5 -4
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@@ -15,6 +15,7 @@ repos:
- id: end-of-file-fixer
- id: mixed-line-ending
- id: trailing-whitespace
exclude: ^ts/llama_cloud_services/src/client/
- repo: https://github.com/charliermarsh/ruff-pre-commit
rev: v0.1.5
@@ -33,7 +34,7 @@ repos:
rev: v1.0.1
hooks:
- id: mypy
exclude: ^py/llama-cloud-services-py/tests/
exclude: ^py/tests|^py/unit_tests
additional_dependencies:
[
"types-requests",
@@ -63,13 +64,13 @@ repos:
rev: v3.0.3
hooks:
- id: prettier
exclude: uv.lock
exclude: ^(uv.lock|ts/llama_cloud_services/pnpm-lock.yaml|ts/e2e-tests)
- repo: https://github.com/codespell-project/codespell
rev: v2.2.6
hooks:
- id: codespell
additional_dependencies: [tomli]
exclude: ^(uv.lock|docs|ts)
exclude: ^(uv.lock|docs|ts|examples|pnpm-lock.yaml)
args:
[
"--ignore-words-list",
@@ -86,4 +87,4 @@ repos:
- id: toml-sort-fix
exclude: ".*uv.lock"
exclude: .github/ISSUE_TEMPLATE
exclude: ^(.github/ISSUE_TEMPLATE|ts/llama_cloud_services/src/client|pnpm-lock.yaml)
+18 -152
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@@ -1,167 +1,33 @@
# Contribute to `llama-cloud-services`
# Python
## Common Patterns
## Installation
### Issues
This project uses uv. Create a virtual environment, and run `uv sync`
One of the forms of contribution can be issues.
## Versioning (Maintainers only)
Issues should be used when there are bugs or feature request you would like to bring to the attention of the maintainers.
Before merging your changes, make sure to bump the versions.
When opening an issue:
Make a version bump to `pyproject.toml`. If the underlying dependency on the llamacloud platform OpenAPI
sdk needs bumping, make sure to bring that in as well. If updating dependencies, run `uv lock`.
- preferably, use the provided templates
- check for other issues (closed and open) to avoid duplicates
- try to be detailed and specific, reporting all the pieces the maintainer would need to have in order to reproduce your issue.
The legacy `llama_parse` package re-exports some of `llama_cloud_services` in the old namespace. The
versions need to be kept consistent to sidecar it with `llama_cloud_services`. Bump it's version in `llama_parse/pyproject.toml`, and also bump it's dependency version of `llama-cloud-services` to match.
### Pull requests
**Note**: Don't worry about updating the `llama_parse/poetry.lock` file when bumping versions. The GitHub action will automatically run `poetry lock` for the llama_parse package during the build process (though it doesn't commit the updated lockfile back to the repo).
In order to open a valid pull request:
You can also do this with `./scripts/version-bump.py set 0.x.x` if you have `uv` installed.
- Fork the repository
- Checkout a secondary branch (common prefixes for secondary branches include: `fix`, `feat`, `chore`, `docs`). We tend to prefer the naming convention that uses `/`, such as: `fix/your-awesome-bug-fix`.
- Add and commit the changes to the secondary branch, following language-specific logic (see below)
- When the changes are pushed to your branch, open a pull request
Once the change is merged, push a tag `git tag -a v0.x.x -m 0.x.x` and `git push origin 0.x.x`.
## Python
This tagging step can be done with `./scripts/version-bump tag`.
### Set Up
# Typescript
The two python packages, which can be found under `py/llama-cloud-services-py/`, are:
## Installation
- `llama-cloud-services`
- `llama-parse`
...
> [!NOTE]
>
> `llama-parse` mostly re-exports from `llama-cloud-services`, so you should not modify that directly.
## Versioning
These packages are managed through [uv](https://docs.astral.sh/uv/), so make sure to have uv [installed](https://docs.astral.sh/uv/getting-started/installation/).
### Tests
It is important to make sure all tests pass after your changes, and cover new features with suitable unit tests.
Tests are found in `py/llama-cloud-services-py/tests/` and you can execute them with:
```bash
pytest tests/**/test_*.py
```
### Pre-Commit Versioning
Once you made your changes and tested them, **prior to committing** you should run (from the root folder) this command to automatically bump the version of python packages:
```bash
pnpm pre-commit-version
```
this will prompt you to choose what package's version you want to bump and what kind of bump you want to perform. Choose `@llama_cloud_services/llama-cloud-services-py` for python and choose the version bump according to the type of changing you made.
### Pre-commit checks
Before you commit, your files should pass the linting and formatting requirements. In order to do that, you should have `pre-commit` installed and set-up in your repository:
```bash
pip install pre-commit
pre-commit install
```
Once you have that set up, the files will be automatically linted and formatted according to the requirements.
## TypeScript
### Set Up
The TypeScript package, which can be found under `ts/llama_cloud_services/`, is managed through [`pnpm`](https://pnpm.io), so make sure to have it [installed](https://pnpm.io/installation).
In order to be able to run and test the package, make sure to install all the dependencies:
```bash
pnpm install
```
### Activate Test Mode
In order to activate test mode (to dynamically test your changes while you are performing them) you can use:
```bash
pnpm turbo run dev
```
### Test
It is important to make sure all tests pass after your changes, and cover new features with suitable unit tests.
Tests are found in `ts/llama_cloud_services/tests/` and you can execute them with:
```bash
pnpm test
```
### Pre-Commit Versioning
Once you made your changes and tested them, **prior to committing** you should run (from the root folder) two commands to automatically bump the version of python packages:
```bash
pnpm pre-commit-version
```
This will prompt you to choose what package's version you want to bump and what kind of bump you want to perform. Choose `llama-cloud-services` for TypeScript and choose the version bump according to the type of changing you made.
### Pre-commit checks
Before you commit, your files should pass the linting and formatting requirements. In order to do that, run (from the root folder):
```bash
pnpm pre-commit
```
The files will be then automatically linted and formatted according to the requirements.
## TypeScript _and_ Python
If you change **both PY and TS**, for versioning run:
```bash
pnpm pre-commit-version # choose both packages
pnpm new-version # bumps the version for both packages
```
## Release (maintainers only)
Every push to main might trigger a release.
Whether a release is pushed out or not depends on the presence of versioning files in `.changesets`: if you want a release to be packaged, then, you need to always run `pnpm pre-commit-version` prior to merging a pull request into main.
You can, nevertheless, manually set up language-specific releases, using the logic reported below.
### Python
To release `llama-cloud-services` and `llama-parse` in Python, run:
```bash
git checkout main
git pull
git tag <your-version> # e.g. v0.7.0
git push <your-version>
```
> [!NOTE]
>
> The tag must start with `v`
This will trigger the release workflow automatically.
### TypeScript
To release `llama-cloud-services` in TypeScript, run:
```bash
git checkout main
git pull
git tag llama-cloud-services@<your-version> # e.g. llama-cloud-services@0.3.0
git push origin llama-cloud-services@<your-version>
```
This will trigger the release workflow automatically.
...
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# LlamaCloud Services Examples - Python
In this folder you will find several python notebooks with examples regarding:
- [LlamaParse](./parse/)
- [LlamaExtract](./extract/)
- [LlamaReport](./report/)
Follow the instructions of each notebook to get started!
-10
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# LlamaCloud Services Examples - TypeScript
In this folder you will find two end-to-end examples on how to build applications with:
- [LlamaParse](./parse/)
- [LlamaCloud Index](./index)
In TypeScript.
Follow the instruction in each of the example sub-folders to get started!
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LLAMA_CLOUD_API_KEY="llx-***"
OPENAI_API_KEY="sk-***"
PIPELINE_NAME="my-pipeline"
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# LlamaCloud Services Examples - Python
In this folder you will find several TypeScript end-to-end applications that contain examples regarding:
- [LlamaParse](./parse/)
- [LlamaCloud Index](./index/)
Follow the instructions in each example folder to get started!
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# LlamaExtract Demo
A TypeScript demo application showcasing the power of **LlamaExract** - a structured data extraction agentic service from [LlamaCloud](https://cloud.llamaindex.ai). This demo allows you to extract structured information from scientific papers and get them into a nice markdown format.
## Table of Contents
- [Features](#features)
- [Prerequisites](#prerequisites)
- [Installation](#installation)
- [Usage](#usage)
- [Start the Demo](#start-the-demo)
- [Development Mode](#development-mode)
- [Build the Project](#build-the-project)
- [Code Quality](#code-quality)
- [Quick Commands Reference](#quick-commands-reference)
- [How It Works](#how-it-works)
- [API Dependencies](#api-dependencies)
- [Troubleshooting](#troubleshooting)
- [Common Issues](#common-issues)
- [License](#license)
- [Contributing](#contributing)
## Features
- 📄 **Structured Data Extraction**: Extract data from your files effortlessly, and structure them the way you want!
- 🤖 **Markdown Rendering**: Generate markdown directly from your extracted data
- 🎨 **Beautiful CLI**: Styled console interface with colors and ASCII art
-**Fast Development**: Hot reload support with watch mode
- 🛠️ **TypeScript**: Full TypeScript support with strict type checking
## Prerequisites
- Node.js (version 18 or higher)
- pnpm package manager
- LlamaCloud API key
## Installation
1. Clone the repository:
```bash
git clone https://github.com/run-llama/llama_cloud_services
cd lama_cloud_services/examples-ts/extract/
```
2. Install dependencies:
```bash
npm install
```
3. Set up your environment variables:
```bash
# Add your API key to your environment
export LLAMA_CLOUD_API_KEY="your-llamacloud-api-key"
```
## Usage
### Start the Demo
```bash
npm run start
```
The application will display a welcome screen and prompt you to enter the path to a document you'd like to process.
### Development Mode
For development with hot reload:
```bash
npm run dev
```
### Build the Project
```bash
npm run build
```
### Code Quality
Format code:
```bash
npm run format
```
Lint code:
```bash
npm run lint
```
## How It Works
1. **Document Input**: Enter the path to your document when prompted
2. **Parsing**: LlamaExtract, based on the schema you can find [here](./src/schema.ts), processes the document and extracts structured data
3. **Markdown Rendering**: The extracted content is rendered into beautiful markdown
4. **Results**: View the results directly in your terminal
## Troubleshooting
### Common Issues
1. **Module Resolution Errors**: Ensure you're using Node.js 18+ and have all dependencies installed
2. **API Key Issues**: Verify your LlamaCloud API key is correctly set
3. **File Path Errors**: Use absolute paths or ensure relative paths are correct from the project root
## License
MIT License - see the [LICENSE](../../LICENSE) file for details.
## Contributing
1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run `npm run format` and `npm run lint`
5. Submit a pull request
+14
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import js from "@eslint/js";
import globals from "globals";
import tseslint from "typescript-eslint";
import { defineConfig } from "eslint/config";
export default defineConfig([
{
files: ["**/*.{js,mjs,cjs,ts,mts,cts}"],
plugins: { js },
extends: ["js/recommended"],
languageOptions: { globals: globals.browser },
},
tseslint.configs.recommended,
]);
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{
"name": "llama-extract-demo",
"version": "0.1.0",
"description": "Demo for LlamaExtract in TypeScript",
"main": "index.js",
"scripts": {
"test": "echo \"There are no tests\"",
"start": "npm exec tsx src/index.ts",
"lint": "eslint ./src/",
"format": "prettier --write ./src/",
"build": "tsc",
"dev": "npm exec tsx --watch src/index.ts"
},
"author": "LlamaIndex",
"license": "MIT",
"dependencies": {
"cli-markdown": "^3.5.1",
"consola": "^3.4.2",
"figlet": "^1.8.2",
"llama-cloud-services": "file:../../ts/llama_cloud_services",
"marked": "^15.0.12",
"marked-terminal": "^7.3.0",
"picocolors": "^1.1.1"
},
"devDependencies": {
"@eslint/js": "^9.32.0",
"@types/figlet": "^1.7.0",
"@types/marked-terminal": "^6.1.1",
"@types/node": "^24.2.0",
"eslint": "^9.32.0",
"globals": "^16.3.0",
"jiti": "^2.5.1",
"prettier": "^3.6.2",
"typescript": "^5.9.2",
"typescript-eslint": "^8.39.0"
}
}
+47
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@@ -0,0 +1,47 @@
import { LlamaExtract, ExtractConfig } from "llama-cloud-services";
import cliMarkdown from "cli-markdown";
import { logger } from "./logger";
import pc from "picocolors";
import { consoleInput, renderLogo } from "./utils";
import { dataSchema } from "./schema";
import { renderMarkdown, ResearchData } from "./markdown";
export async function main(): Promise<number> {
const extractClient = new LlamaExtract(
process.env.LLAMA_CLOUD_API_KEY!,
"https://api.cloud.llamaindex.ai",
);
await renderLogo();
logger.log(
`Welcome to ${pc.bold(
pc.magentaBright("LlamaExtract Demo✨"),
)}, our demo for ${pc.bold(pc.green("LlamaExtract"))}, a ${pc.bold(
pc.cyan("LlamaCloud☁️"),
)} (https://cloud.llamaindex.ai) product!.\nIn this demo we are going to try extracting relevant information ${pc.bold(
pc.yellowBright("from scientific papers"),
)}. Type the path to the paper you would like to process below👇\nIf you wish to exit, just type ${pc.bold(
pc.gray("quit"),
)}.\n`,
);
while (true) {
const userInput = await consoleInput();
if (userInput.toLowerCase() == "quit") {
break;
}
try {
const generatedData = await extractClient.extract(
dataSchema,
{} as ExtractConfig,
userInput,
);
const research = renderMarkdown(generatedData?.data as ResearchData); // Added await here
logger.log(`${pc.bold(pc.cyan("Extracted information:✨"))}:\n`);
logger.log(cliMarkdown(research));
} catch (error) {
logger.error(`Error processing file: ${error}`);
}
}
return 0;
}
main().catch(console.error);
+172
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type Author = {
name: string;
affiliation?: string;
email?: string;
};
type Methodology = {
approach?: string;
participants?: string;
methods?: string[];
};
type Result = {
finding?: string;
significance?: string;
supportingData?: string;
};
type Reference = {
title: string;
authors: string;
year?: string;
relevance?: string;
};
type Discussion = {
implications?: string[];
limitations?: string[];
futureWork?: string[];
};
type Publication = {
journal?: string;
year: string;
doi?: string;
url?: string;
};
export type ResearchData = {
title: string;
authors: Author[];
abstract: string;
keywords?: string[];
mainFindings: string[];
methodology?: Methodology;
results?: Result[];
discussion?: Discussion;
references?: Reference[];
publication?: Publication;
};
export function renderMarkdown(data: ResearchData): string {
const {
title,
authors,
abstract,
keywords,
mainFindings,
methodology,
results,
discussion,
references,
publication,
} = data;
const md: string[] = [];
md.push(`# ${title}\n`);
// Authors
md.push(`## Authors`);
md.push(
authors
.map(
(author) =>
`- **${author.name}**${
author.affiliation ? `, *${author.affiliation}*` : ""
}${author.email ? ` (${author.email})` : ""}`,
)
.join("\n"),
);
// Abstract
md.push(`\n## Abstract\n${abstract}`);
// Keywords
if (keywords && keywords.length > 0) {
md.push(`\n## Keywords\n${keywords.map((k) => `- ${k}`).join("\n")}`);
}
// Main Findings
md.push(
`\n## Main Findings\n${mainFindings.map((f) => `- ${f}`).join("\n")}`,
);
// Methodology
if (methodology) {
md.push(`\n## Methodology`);
if (methodology.approach) md.push(`**Approach:** ${methodology.approach}`);
if (methodology.participants)
md.push(`**Participants:** ${methodology.participants}`);
if (methodology.methods?.length) {
md.push(
`**Methods:**\n${methodology.methods.map((m) => `- ${m}`).join("\n")}`,
);
}
}
// Results
if (results?.length) {
md.push(`\n## Results`);
results.forEach((result, i) => {
md.push(`\n### Result ${i + 1}`);
if (result.finding) md.push(`- **Finding:** ${result.finding}`);
if (result.significance)
md.push(`- **Significance:** ${result.significance}`);
if (result.supportingData)
md.push(`- **Supporting Data:** ${result.supportingData}`);
});
}
// Discussion
if (discussion) {
md.push(`\n## Discussion`);
if (discussion.implications?.length) {
md.push(
`### Implications\n${discussion.implications
.map((d) => `- ${d}`)
.join("\n")}`,
);
}
if (discussion.limitations?.length) {
md.push(
`### Limitations\n${discussion.limitations
.map((d) => `- ${d}`)
.join("\n")}`,
);
}
if (discussion.futureWork?.length) {
md.push(
`### Future Work\n${discussion.futureWork
.map((d) => `- ${d}`)
.join("\n")}`,
);
}
}
// References
if (references?.length) {
md.push(`\n## References`);
references.forEach((ref, i) => {
md.push(
`\n**[${i + 1}]** ${ref.title} — *${ref.authors}*${
ref.year ? ` (${ref.year})` : ""
}`,
);
if (ref.relevance) md.push(`> ${ref.relevance}`);
});
}
// Publication Info
if (publication) {
md.push(`\n## Publication`);
if (publication.journal) md.push(`- **Journal:** ${publication.journal}`);
if (publication.year) md.push(`- **Year:** ${publication.year}`);
if (publication.doi) md.push(`- **DOI:** ${publication.doi}`);
if (publication.url)
md.push(`- **URL:** [${publication.url}](${publication.url})`);
}
return md.join("\n");
}
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export const dataSchema = {
type: "object",
required: ["title", "authors", "abstract", "mainFindings"],
properties: {
title: {
type: "string",
description: "The full title of the research paper",
},
authors: {
type: "array",
description: "List of all authors of the paper",
items: {
type: "object",
properties: {
name: {
type: "string",
description: "Full name of the author",
},
affiliation: {
type: "string",
description:
"Institution or organization the author is affiliated with",
},
email: {
type: "string",
description: "Contact email of the author if provided",
},
},
},
},
abstract: {
type: "string",
description: "Complete abstract or summary of the paper",
},
keywords: {
type: "array",
description:
"Key terms and phrases that describe the paper's main topics",
items: {
type: "string",
},
},
mainFindings: {
type: "array",
description: "Key findings, conclusions, or contributions of the paper",
items: {
type: "string",
},
},
methodology: {
type: "object",
description: "Research methods and approaches used",
properties: {
approach: {
type: "string",
description: "Overall research approach or study design",
},
participants: {
type: "string",
description: "Description of study participants or data sources",
},
methods: {
type: "array",
description: "Specific methods, techniques, or tools used",
items: {
type: "string",
},
},
},
},
results: {
type: "array",
description: "Main results and outcomes of the research",
items: {
type: "object",
properties: {
finding: {
type: "string",
description: "Description of the specific result or finding",
},
significance: {
type: "string",
description:
"Statistical significance or importance of the finding",
},
supportingData: {
type: "string",
description: "Relevant statistics, measurements, or data points",
},
},
},
},
discussion: {
type: "object",
properties: {
implications: {
type: "array",
description: "Theoretical or practical implications of the findings",
items: {
type: "string",
},
},
limitations: {
type: "array",
description: "Study limitations or constraints",
items: {
type: "string",
},
},
futureWork: {
type: "array",
description: "Suggested future research directions",
items: {
type: "string",
},
},
},
},
references: {
type: "array",
description:
"Key papers cited that are crucial to understanding this work",
items: {
type: "object",
properties: {
title: {
type: "string",
description: "Title of the cited paper",
},
authors: {
type: "string",
description: "Authors of the cited paper",
},
year: {
type: "string",
description: "Publication year",
},
relevance: {
type: "string",
description: "Why this reference is important to the current paper",
},
},
required: ["title", "authors"],
},
},
publication: {
type: "object",
properties: {
journal: {
type: "string",
description: "Name of the journal or conference",
},
year: {
type: "string",
description: "Year of publication",
},
doi: {
type: "string",
description: "Digital Object Identifier (DOI) of the paper",
},
url: {
type: "string",
description: "URL where the paper can be accessed",
},
},
required: ["year"],
},
},
};
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declare module "cli-markdown" {
function cliMarkdown(input: string): string;
export default cliMarkdown;
}
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import * as readline from "readline/promises";
import figlet from "figlet";
import pc from "picocolors";
export async function renderLogo(): Promise<void> {
const logoText = figlet.textSync("Extract Demo", {
font: "ANSI Shadow",
horizontalLayout: "default",
verticalLayout: "default",
width: 100,
whitespaceBreak: true,
});
// Add some styling with picocolors
const styledLogo = pc.bold(pc.redBright(logoText));
// Add some padding/margin
console.log("\n");
console.log(styledLogo);
console.log(pc.gray("─".repeat(60)));
console.log("\n");
}
export async function consoleInput(): Promise<string> {
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout,
});
const answer = await rl.question("Path to your file: ");
rl.close();
return answer;
}
@@ -22,7 +22,7 @@ A TypeScript demo application showcasing the power of **LlamaCloud Index** - a f
## Features
- 🤖 **RAG**: Simple-yet-effective Retrieval Augmented Generation pipeline built on top of LlamaCloud Index adn OpenAI
- 🤖 **RAG**: Simple-yet-effective Retrieval Augmented Generation pipeline built on top of LlamaCloud Index and OpenAI
- 🎨 **Beautiful CLI**: Styled console interface with colors and ASCII art
- ⚡ **Fast Development**: Hot reload support with watch mode
- 🛠️ **TypeScript**: Full TypeScript support with strict type checking
@@ -40,8 +40,8 @@ A TypeScript demo application showcasing the power of **LlamaCloud Index** - a f
1. Clone the repository:
```bash
git clone <repository-url>
cd llamaparse-demo
git clone https://github.com/run-llama/llama_cloud_services
cd lama_cloud_services/examples-ts/index/
```
2. Install dependencies:
@@ -120,12 +120,12 @@ pnpm run lint
## License
MIT License - see the [LICENSE](../../../LICENSE) file for details.
MIT License - see the [LICENSE](../../LICENSE) file for details.
## Contributing
1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run `pnpm format` and `pnpm lint`
4. Run `pnpm run format` and `pnpm run lint`
5. Submit a pull request
@@ -42,7 +42,7 @@
"consola": "^3.4.2",
"dotenv": "^17.2.1",
"figlet": "^1.8.2",
"llama-cloud-services": "link:../../../ts/llama_cloud_services",
"llama-cloud-services": "link:../../ts/llama_cloud_services",
"picocolors": "^1.1.1"
}
}
@@ -40,8 +40,8 @@ A TypeScript demo application showcasing the power of **LlamaParse** - an intell
1. Clone the repository:
```bash
git clone <repository-url>
cd llamaparse-demo
git clone https://github.com/run-llama/llama_cloud_services
cd lama_cloud_services/examples-ts/parse/
```
2. Install dependencies:
@@ -113,12 +113,12 @@ pnpm run lint
## License
MIT License - see the [LICENSE](../../../LICENSE) file for details.
MIT License - see the [LICENSE](../../LICENSE) file for details.
## Contributing
1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run `pnpm format` and `pnpm lint`
4. Run `pnpm run format` and `pnpm run lint`
5. Submit a pull request
@@ -41,7 +41,7 @@
"ai": "^4.3.19",
"consola": "^3.4.2",
"figlet": "^1.8.2",
"llama-cloud-services": "link:../../../ts/llama_cloud_services",
"llama-cloud-services": "link:../../ts/llama_cloud_services",
"picocolors": "^1.1.1"
}
}
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import { createConsola } from "consola";
import type { ConsolaInstance } from "consola";
export const logger: ConsolaInstance = createConsola({
formatOptions: {
date: false,
},
});
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# LlamaCloud Services Examples - Python
In this folder you will find several python notebooks that contain examples regarding:
- [LlamaParse](./parse/)
- [LlamaExtract](./extract/)
- [LlamaReport](./report/)
Follow the instructions in each notebook to get started!

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