Upload 62 files

.dockerignore

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+__pycache__
+*.pyc
+.env
+.git
+.gitignore
+static
+tests
+uv.lock
+.codespellignore
+Makefile
+README.md

.env.example

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+TAVILY_API_KEY=...
+
+# To separate your traces from other application
+LANGSMITH_PROJECT=react-agent
+
+# The following depend on your selected configuration
+
+## LLM choice:
+ANTHROPIC_API_KEY=....
+FIREWORKS_API_KEY=...
+OPENAI_API_KEY=...

.gitattributes

@@ -1,35 +1,37 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+static/studio_ui.png filter=lfs diff=lfs merge=lfs -text
+testeclone/docktent/static/studio_ui.png filter=lfs diff=lfs merge=lfs -text

.github/workflows/integration-tests.yml

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+# This workflow will run integration tests for the current project once per day
+
+name: Integration Tests
+
+on:
+  schedule:
+    - cron: "37 14 * * *" # Run at 7:37 AM Pacific Time (14:37 UTC) every day
+  workflow_dispatch: # Allows triggering the workflow manually in GitHub UI
+
+permissions:
+  contents: read
+
+# If another scheduled run starts while this workflow is still running,
+# cancel the earlier run in favor of the next run.
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  integration-tests:
+    name: Integration Tests
+    strategy:
+      matrix:
+        os: [ubuntu-latest]
+        python-version: ["3.11", "3.12"]
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          uv venv
+          uv pip install -r pyproject.toml
+          uv pip install -U pytest-asyncio vcrpy
+      - name: Run integration tests
+        env:
+          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+          TAVILY_API_KEY: ${{ secrets.TAVILY_API_KEY }}
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+          LANGSMITH_TRACING: true
+          LANGSMITH_TEST_CACHE: tests/cassettes
+        run: |
+          uv run pytest tests/integration_tests

.github/workflows/unit-tests.yml

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+# This workflow will run unit tests for the current project
+
+name: CI
+
+on:
+  push:
+    branches: ["main"]
+  pull_request:
+  workflow_dispatch: # Allows triggering the workflow manually in GitHub UI
+
+permissions:
+  contents: read
+
+# If another push to the same PR or branch happens while this workflow is still running,
+# cancel the earlier run in favor of the next run.
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  unit-tests:
+    name: Unit Tests
+    strategy:
+      matrix:
+        os: [ubuntu-latest]
+        python-version: ["3.11", "3.12"]
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          uv venv
+          uv pip install -r pyproject.toml
+      - name: Lint with ruff
+        run: |
+          uv pip install ruff
+          uv run ruff check .
+      - name: Lint with mypy
+        run: |
+          uv pip install mypy
+          uv run mypy --strict src/
+      - name: Check README spelling
+        uses: codespell-project/actions-codespell@406322ec52dd7b488e48c1c4b82e2a8b3a1bf630 # v2
+        with:
+          ignore_words_file: .codespellignore
+          path: README.md
+      - name: Check code spelling
+        uses: codespell-project/actions-codespell@406322ec52dd7b488e48c1c4b82e2a8b3a1bf630 # v2
+        with:
+          ignore_words_file: .codespellignore
+          path: src/
+      - name: Run tests with pytest
+        run: |
+          uv pip install pytest
+          uv run pytest tests/unit_tests

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+.langgraph_api

Dockerfile

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+FROM python:3.12-slim
+WORKDIR /code
+RUN apt-get update && apt-get install -y --no-install-recommends build-essential && rm -rf /var/lib/apt/lists/*
+COPY ./requirements.txt /code/requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+COPY . .
+EXPOSE 7860
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

LICENSE

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+MIT License
+
+Copyright (c) 2024 LangChain
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

Makefile

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+.PHONY: all format lint test tests test_watch integration_tests docker_tests help extended_tests
+
+# Default target executed when no arguments are given to make.
+all: help
+
+# Define a variable for the test file path.
+TEST_FILE ?= tests/unit_tests/
+
+test:
+	python -m pytest $(TEST_FILE)
+
+integration_tests:
+	python -m pytest tests/integration_tests 
+
+test_watch:
+	python -m ptw --snapshot-update --now . -- -vv tests/unit_tests
+
+test_profile:
+	python -m pytest -vv tests/unit_tests/ --profile-svg
+
+extended_tests:
+	python -m pytest --only-extended $(TEST_FILE)
+
+
+######################
+# LINTING AND FORMATTING
+######################
+
+# Define a variable for Python and notebook files.
+PYTHON_FILES=src/
+MYPY_CACHE=.mypy_cache
+lint format: PYTHON_FILES=.
+lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d main | grep -E '\.py$$|\.ipynb$$')
+lint_package: PYTHON_FILES=src
+lint_tests: PYTHON_FILES=tests
+lint_tests: MYPY_CACHE=.mypy_cache_test
+
+lint lint_diff lint_package lint_tests:
+	python -m ruff check .
+	[ "$(PYTHON_FILES)" = "" ] || python -m ruff format $(PYTHON_FILES) --diff
+	[ "$(PYTHON_FILES)" = "" ] || python -m ruff check --select I $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || python -m mypy --strict $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && python -m mypy --strict $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
+
+format format_diff:
+	ruff format $(PYTHON_FILES)
+	ruff check --select I --fix $(PYTHON_FILES)
+
+spell_check:
+	codespell --toml pyproject.toml
+
+spell_fix:
+	codespell --toml pyproject.toml -w
+
+######################
+# HELP
+######################
+
+help:
+	@echo '----'
+	@echo 'format                       - run code formatters'
+	@echo 'lint                         - run linters'
+	@echo 'test                         - run unit tests'
+	@echo 'tests                        - run unit tests'
+	@echo 'test TEST_FILE=<test_file>   - run all tests in file'
+	@echo 'test_watch                   - run unit tests in watch mode'
+

README.md

@@ -1,10 +1,10 @@
----
-title: Newtrone
-emoji: 🐠
-colorFrom: green
-colorTo: purple
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Stateless-Agent-Service
+emoji: 🤖
+colorFrom: blue
+colorTo: green
+sdk: docker
+app_port: 7860
+pinned: false
+---
+# Stateless Agent Engine

agent.py

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+from pathlib import Path
+from typing import Any, Dict, List, Optional
+
+from langchain_openai import ChatOpenAI
+from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
+from langchain_core.tools import tool
+from langgraph.prebuilt import create_react_agent
+
+
+def _make_file_tools(workspace: Path):
+    workspace = workspace.resolve()
+
+    @tool
+    def read_file(path: str) -> str:
+        """Read the contents of a file from the workspace."""
+        full = (workspace / path).resolve()
+        if not str(full).startswith(str(workspace)):
+            return "Error: path outside workspace."
+        if not full.exists():
+            return f"Error: file not found: {path}"
+        return full.read_text(encoding="utf-8", errors="replace")
+
+    @tool
+    def write_file(path: str, content: str) -> str:
+        """Write content to a file in the workspace (creates parent dirs)."""
+        full = (workspace / path).resolve()
+        if not str(full).startswith(str(workspace)):
+            return "Error: path outside workspace."
+        full.parent.mkdir(parents=True, exist_ok=True)
+        full.write_text(content, encoding="utf-8")
+        return f"Written: {path}"
+
+    @tool
+    def list_files(path: str = ".") -> str:
+        """List files and directories under a path in the workspace."""
+        full = (workspace / path).resolve()
+        if not str(full).startswith(str(workspace)):
+            return "Error: path outside workspace."
+        if not full.exists():
+            return f"Error: path not found: {path}"
+        items = []
+        for p in sorted(full.iterdir()):
+            tag = "[DIR]" if p.is_dir() else "[FILE]"
+            items.append(f"{tag} {p.relative_to(workspace)}")
+        return "\n".join(items) if items else "(empty)"
+
+    @tool
+    def delete_file(path: str) -> str:
+        """Delete a file or empty directory in the workspace."""
+        full = (workspace / path).resolve()
+        if not str(full).startswith(str(workspace)):
+            return "Error: path outside workspace."
+        if not full.exists():
+            return f"Error: not found: {path}"
+        if full.is_file():
+            full.unlink()
+            return f"Deleted file: {path}"
+        if full.is_dir():
+            full.rmdir()
+            return f"Deleted empty directory: {path}"
+        return f"Error: {path} is neither a file nor empty directory."
+
+    return [read_file, write_file, list_files, delete_file]
+
+
+def _build_system_message(workspace: Path) -> SystemMessage:
+    return SystemMessage(
+        content=(
+            f"Your workspace is at {workspace}.\n"
+            "You have file tools to read, write, list, and delete files here.\n"
+            "You have built-in web search capabilities through your model.\n\n"
+            "=== LEAN WORKSPACE RULES ===\n"
+            "1. KEEP ONLY HIGH-VALUE FILES: Retain only final artifacts the user would want\n"
+            "   (reports, generated scripts, datasets, or files the user explicitly asked for).\n"
+            "2. AUTO-DELETE JUNK: Before finishing your response, use 'delete_file' to remove\n"
+            "   all intermediate scratch files, .tmp files, raw HTML dumps, logs, or any file\n"
+            "   that is NOT a final deliverable.\n"
+            "3. OVERWRITE — NEVER DUPLICATE: If you need to update a file, overwrite it in place\n"
+            "   using 'write_file' with the same path. Never create versioned copies (e.g.,\n"
+            "   report_v1.txt, report_v2.txt) unless the user explicitly asks for a new version.\n\n"
+            "When the user asks about their files or folder contents, use the file tools."
+        )
+    )
+
+
+async def run_agent(
+    api_key: str,
+    model: str,
+    provider: str,
+    workspace: Path,
+    user_message: str,
+    chat_history: List[Dict[str, str]],
+) -> Dict[str, Any]:
+    tools = _make_file_tools(workspace)
+
+    if provider == "gemini":
+        from langchain_google_genai import ChatGoogleGenerativeAI
+
+        llm = ChatGoogleGenerativeAI(
+            model=model or "gemini-2.0-flash",
+            google_api_key=api_key,
+            temperature=0.7,
+        )
+    else:
+        llm = ChatOpenAI(
+            model=model or "perplexity/llama-3-sonar-large-32k-online",
+            openai_api_key=api_key,
+            base_url="https://openrouter.ai/api/v1",
+            default_headers={
+                "HTTP-Referer": "https://huggingface.co/spaces/react-agent",
+                "X-Title": "React Agent",
+            },
+            temperature=0.7,
+        )
+
+    agent = create_react_agent(model=llm, tools=tools)
+
+    messages = [_build_system_message(workspace)]
+
+    for msg in chat_history:
+        role = msg.get("role", "")
+        content = msg.get("content", "")
+        if role == "user":
+            messages.append(HumanMessage(content=content))
+        elif role == "assistant":
+            messages.append(AIMessage(content=content))
+
+    messages.append(HumanMessage(content=user_message))
+
+    result = await agent.ainvoke({"messages": messages})
+
+    agent_response = ""
+    for msg in reversed(result.get("messages", [])):
+        if isinstance(msg, AIMessage) and msg.content:
+            agent_response = msg.content
+            break
+
+    updated_chat_history = []
+    for msg in result.get("messages", []):
+        if isinstance(msg, HumanMessage):
+            updated_chat_history.append({"role": "user", "content": msg.content})
+        elif isinstance(msg, AIMessage):
+            updated_chat_history.append({"role": "assistant", "content": msg.content})
+
+    return {
+        "agent_response": agent_response,
+        "updated_chat_history": updated_chat_history,
+    }

app.py

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+import base64
+import shutil
+from pathlib import Path
+from typing import Dict, List, Optional
+from contextlib import asynccontextmanager
+
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+
+from agent import run_agent
+
+
+class ChatRequest(BaseModel):
+    user_id: str
+    user_message: str
+    api_key: str
+    provider: str = "openrouter"
+    model: str = "perplexity/llama-3-sonar-large-32k-online"
+    current_chat_history: Optional[List[Dict[str, str]]] = None
+    user_files: Optional[Dict[str, str]] = None
+
+
+class ChatResponse(BaseModel):
+    agent_response: str
+    updated_chat_history: List[Dict[str, str]]
+    updated_files: Dict[str, str]
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    yield
+
+
+app = FastAPI(title="React Agent API", lifespan=lifespan)
+
+
+@app.post("/chat", response_model=ChatResponse)
+async def chat(request: ChatRequest):
+    if not request.api_key:
+        raise HTTPException(status_code=400, detail="api_key is required")
+
+    workspace = Path(f"/tmp/{request.user_id}")
+    workspace.mkdir(parents=True, exist_ok=True)
+
+    try:
+        if request.user_files:
+            for filename, content_b64 in request.user_files.items():
+                filepath = workspace / filename
+                filepath.parent.mkdir(parents=True, exist_ok=True)
+                filepath.write_bytes(base64.b64decode(content_b64))
+
+        result = await run_agent(
+            api_key=request.api_key,
+            model=request.model,
+            provider=request.provider,
+            workspace=workspace,
+            user_message=request.user_message,
+            chat_history=request.current_chat_history or [],
+        )
+
+        updated_files = {}
+        if workspace.exists():
+            for filepath in sorted(workspace.rglob("*")):
+                if filepath.is_file():
+                    rel_path = str(filepath.relative_to(workspace))
+                    updated_files[rel_path] = base64.b64encode(
+                        filepath.read_bytes()
+                    ).decode()
+
+        return ChatResponse(
+            agent_response=result["agent_response"],
+            updated_chat_history=result["updated_chat_history"],
+            updated_files=updated_files,
+        )
+
+    finally:
+        if workspace.exists():
+            shutil.rmtree(workspace, ignore_errors=True)

langgraph.json

@@ -0,0 +1,8 @@
+{
+  "$schema": "https://langgra.ph/schema.json",
+  "dependencies": ["."],
+  "graphs": {
+    "agent": "./src/react_agent/graph.py:graph"
+  },
+  "env": ".env"
+}

pyproject.toml

@@ -0,0 +1,68 @@
+[project]
+name = "react-agent"
+version = "0.0.1"
+description = "Starter template for making a custom Reasoning and Action agent (using tool calling) in LangGraph."
+authors = [
+    { name = "William Fu-Hinthorn", email = "13333726+hinthornw@users.noreply.github.com" },
+]
+readme = "README.md"
+license = { text = "MIT" }
+requires-python = ">=3.11,<4.0"
+dependencies = [
+    "langgraph>=1.0.0",
+    "langchain-openai>=0.2.0",
+    "langchain-core>=0.3.0",
+]
+
+
+[project.optional-dependencies]
+dev = ["mypy>=1.11.1", "ruff>=0.6.1", "fastapi>=0.115.0", "uvicorn[standard]>=0.32.0"]
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["langgraph.templates.react_agent", "react_agent"]
+[tool.setuptools.package-dir]
+"langgraph.templates.react_agent" = "src/react_agent"
+"react_agent" = "src/react_agent"
+
+
+[tool.setuptools.package-data]
+"*" = ["py.typed"]
+
+[tool.ruff]
+lint.select = [
+    "E",    # pycodestyle
+    "F",    # pyflakes
+    "I",    # isort
+    "D",    # pydocstyle
+    "D401", # First line should be in imperative mood
+    "T201",
+    "UP",
+]
+lint.ignore = [
+    "UP006",
+    "UP007",
+    # We actually do want to import from typing_extensions
+    "UP035",
+    # Relax the convention by _not_ requiring documentation for every function parameter.
+    "D417",
+    "E501",
+]
+[tool.ruff.lint.per-file-ignores]
+"tests/*" = ["D", "UP"]
+[tool.ruff.lint.pydocstyle]
+convention = "google"
+
+[tool.uv]
+# CVE-2026-32597: pyjwt < 2.12.0 accepts unknown `crit` header extensions.
+# Transitive via langgraph-api -> pyjwt. Remove once langgraph-api requires pyjwt>=2.12.0.
+constraint-dependencies = ["pyjwt>=2.12.0"]
+
+[dependency-groups]
+dev = [
+    "anyio>=4.7.0",
+    "pytest>=9.0.3",
+]

requirements.txt

@@ -0,0 +1,7 @@
+fastapi==0.115.6
+uvicorn[standard]==0.34.0
+langchain==0.3.19
+langchain-openai==0.3.7
+langchain-google-genai==2.1.4
+langgraph==0.3.5
+pydantic==2.10.5

src/react_agent/__init__.py

@@ -0,0 +1,9 @@
+"""React Agent.
+
+This module defines a custom reasoning and action agent graph.
+It invokes tools in a simple loop.
+"""
+
+from react_agent.graph import graph
+
+__all__ = ["graph"]

src/react_agent/context.py

@@ -0,0 +1,46 @@
+"""Define the configurable parameters for the agent."""
+
+from __future__ import annotations
+
+import os
+from dataclasses import dataclass, field, fields
+from typing import Annotated
+
+from . import prompts
+
+
+@dataclass(kw_only=True)
+class Context:
+    """The context for the agent."""
+
+    system_prompt: str = field(
+        default=prompts.SYSTEM_PROMPT,
+        metadata={
+            "description": "The system prompt to use for the agent's interactions. "
+            "This prompt sets the context and behavior for the agent."
+        },
+    )
+
+    model: Annotated[str, {"__template_metadata__": {"kind": "llm"}}] = field(
+        default="anthropic/claude-sonnet-4-5-20250929",
+        metadata={
+            "description": "The name of the language model to use for the agent's main interactions. "
+            "Should be in the form: provider/model-name."
+        },
+    )
+
+    max_search_results: int = field(
+        default=10,
+        metadata={
+            "description": "The maximum number of search results to return for each search query."
+        },
+    )
+
+    def __post_init__(self) -> None:
+        """Fetch env vars for attributes that were not passed as args."""
+        for f in fields(self):
+            if not f.init:
+                continue
+
+            if getattr(self, f.name) == f.default:
+                setattr(self, f.name, os.environ.get(f.name.upper(), f.default))

src/react_agent/graph.py

@@ -0,0 +1,116 @@
+"""Define a custom Reasoning and Action agent.
+
+Works with a chat model with tool calling support.
+"""
+
+from datetime import UTC, datetime
+from typing import Dict, List, Literal, cast
+
+from langchain_core.messages import AIMessage
+from langgraph.graph import StateGraph
+from langgraph.prebuilt import ToolNode
+from langgraph.runtime import Runtime
+
+from react_agent.context import Context
+from react_agent.state import InputState, State
+from react_agent.tools import TOOLS
+from react_agent.utils import load_chat_model
+
+# Define the function that calls the model
+
+
+async def call_model(
+    state: State, runtime: Runtime[Context]
+) -> Dict[str, List[AIMessage]]:
+    """Call the LLM powering our "agent".
+
+    This function prepares the prompt, initializes the model, and processes the response.
+
+    Args:
+        state (State): The current state of the conversation.
+        config (RunnableConfig): Configuration for the model run.
+
+    Returns:
+        dict: A dictionary containing the model's response message.
+    """
+    # Initialize the model with tool binding. Change the model or add more tools here.
+    model = load_chat_model(runtime.context.model).bind_tools(TOOLS)
+
+    # Format the system prompt. Customize this to change the agent's behavior.
+    system_message = runtime.context.system_prompt.format(
+        system_time=datetime.now(tz=UTC).isoformat()
+    )
+
+    # Get the model's response
+    response = cast( # type: ignore[redundant-cast]
+        AIMessage,
+        await model.ainvoke(
+            [{"role": "system", "content": system_message}, *state.messages]
+        ),
+    )
+
+    # Handle the case when it's the last step and the model still wants to use a tool
+    if state.is_last_step and response.tool_calls:
+        return {
+            "messages": [
+                AIMessage(
+                    id=response.id,
+                    content="Sorry, I could not find an answer to your question in the specified number of steps.",
+                )
+            ]
+        }
+
+    # Return the model's response as a list to be added to existing messages
+    return {"messages": [response]}
+
+
+# Define a new graph
+
+builder = StateGraph(State, input_schema=InputState, context_schema=Context)
+
+# Define the two nodes we will cycle between
+builder.add_node(call_model)
+builder.add_node("tools", ToolNode(TOOLS))
+
+# Set the entrypoint as `call_model`
+# This means that this node is the first one called
+builder.add_edge("__start__", "call_model")
+
+
+def route_model_output(state: State) -> Literal["__end__", "tools"]:
+    """Determine the next node based on the model's output.
+
+    This function checks if the model's last message contains tool calls.
+
+    Args:
+        state (State): The current state of the conversation.
+
+    Returns:
+        str: The name of the next node to call ("__end__" or "tools").
+    """
+    last_message = state.messages[-1]
+    if not isinstance(last_message, AIMessage):
+        raise ValueError(
+            f"Expected AIMessage in output edges, but got {type(last_message).__name__}"
+        )
+    # If there is no tool call, then we finish
+    if not last_message.tool_calls:
+        return "__end__"
+    # Otherwise we execute the requested actions
+    return "tools"
+
+
+# Add a conditional edge to determine the next step after `call_model`
+builder.add_conditional_edges(
+    "call_model",
+    # After call_model finishes running, the next node(s) are scheduled
+    # based on the output from route_model_output
+    route_model_output,
+)
+
+# Add a normal edge from `tools` to `call_model`
+# This creates a cycle: after using tools, we always return to the model
+builder.add_edge("tools", "call_model")
+
+# Compile the builder into an executable graph
+graph = builder.compile(name="ReAct Agent")

src/react_agent/prompts.py

@@ -0,0 +1,5 @@
+"""Default prompts used by the agent."""
+
+SYSTEM_PROMPT = """You are a helpful AI assistant.
+
+System time: {system_time}"""

src/react_agent/state.py

@@ -0,0 +1,60 @@
+"""Define the state structures for the agent."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Sequence
+
+from langchain_core.messages import AnyMessage
+from langgraph.graph import add_messages
+from langgraph.managed import IsLastStep
+from typing_extensions import Annotated
+
+
+@dataclass
+class InputState:
+    """Defines the input state for the agent, representing a narrower interface to the outside world.
+
+    This class is used to define the initial state and structure of incoming data.
+    """
+
+    messages: Annotated[Sequence[AnyMessage], add_messages] = field(
+        default_factory=list
+    )
+    """
+    Messages tracking the primary execution state of the agent.
+
+    Typically accumulates a pattern of:
+    1. HumanMessage - user input
+    2. AIMessage with .tool_calls - agent picking tool(s) to use to collect information
+    3. ToolMessage(s) - the responses (or errors) from the executed tools
+    4. AIMessage without .tool_calls - agent responding in unstructured format to the user
+    5. HumanMessage - user responds with the next conversational turn
+
+    Steps 2-5 may repeat as needed.
+
+    The `add_messages` annotation ensures that new messages are merged with existing ones,
+    updating by ID to maintain an "append-only" state unless a message with the same ID is provided.
+    """
+
+
+@dataclass
+class State(InputState):
+    """Represents the complete state of the agent, extending InputState with additional attributes.
+
+    This class can be used to store any information needed throughout the agent's lifecycle.
+    """
+
+    is_last_step: IsLastStep = field(default=False)
+    """
+    Indicates whether the current step is the last one before the graph raises an error.
+
+    This is a 'managed' variable, controlled by the state machine rather than user code.
+    It is set to 'True' when the step count reaches recursion_limit - 1.
+    """
+
+    # Additional attributes can be added here as needed.
+    # Common examples include:
+    # retrieved_documents: List[Document] = field(default_factory=list)
+    # extracted_entities: Dict[str, Any] = field(default_factory=dict)
+    # api_connections: Dict[str, Any] = field(default_factory=dict)

src/react_agent/tools.py

@@ -0,0 +1,29 @@
+"""This module provides example tools for web scraping and search functionality.
+
+It includes a basic Tavily search function (as an example)
+
+These tools are intended as free examples to get started. For production use,
+consider implementing more robust and specialized tools tailored to your needs.
+"""
+
+from typing import Any, Callable, List, Optional, cast
+
+from langchain_tavily import TavilySearch
+from langgraph.runtime import get_runtime
+
+from react_agent.context import Context
+
+
+async def search(query: str) -> Optional[dict[str, Any]]:
+    """Search for general web results.
+
+    This function performs a search using the Tavily search engine, which is designed
+    to provide comprehensive, accurate, and trusted results. It's particularly useful
+    for answering questions about current events.
+    """
+    runtime = get_runtime(Context)
+    wrapped = TavilySearch(max_results=runtime.context.max_search_results)
+    return cast(dict[str, Any], await wrapped.ainvoke({"query": query}))
+
+
+TOOLS: List[Callable[..., Any]] = [search]

src/react_agent/utils.py

@@ -0,0 +1,27 @@
+"""Utility & helper functions."""
+
+from langchain.chat_models import init_chat_model
+from langchain_core.language_models import BaseChatModel
+from langchain_core.messages import BaseMessage
+
+
+def get_message_text(msg: BaseMessage) -> str:
+    """Get the text content of a message."""
+    content = msg.content
+    if isinstance(content, str):
+        return content
+    elif isinstance(content, dict):
+        return content.get("text", "")
+    else:
+        txts = [c if isinstance(c, str) else (c.get("text") or "") for c in content]
+        return "".join(txts).strip()
+
+
+def load_chat_model(fully_specified_name: str) -> BaseChatModel:
+    """Load a chat model from a fully specified name.
+
+    Args:
+        fully_specified_name (str): String in the format 'provider/model'.
+    """
+    provider, model = fully_specified_name.split("/", maxsplit=1)
+    return init_chat_model(model, model_provider=provider)

testeclone/docktent/.dockerignore

@@ -0,0 +1,11 @@
+__pycache__
+*.pyc
+.env
+.git
+.gitignore
+static
+tests
+uv.lock
+.codespellignore
+Makefile
+README.md

testeclone/docktent/.env.example

@@ -0,0 +1,11 @@
+TAVILY_API_KEY=...
+
+# To separate your traces from other application
+LANGSMITH_PROJECT=react-agent
+
+# The following depend on your selected configuration
+
+## LLM choice:
+ANTHROPIC_API_KEY=....
+FIREWORKS_API_KEY=...
+OPENAI_API_KEY=...

testeclone/docktent/.gitattributes

@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+static/studio_ui.png filter=lfs diff=lfs merge=lfs -text

testeclone/docktent/.github/workflows/integration-tests.yml

@@ -0,0 +1,47 @@
+# This workflow will run integration tests for the current project once per day
+
+name: Integration Tests
+
+on:
+  schedule:
+    - cron: "37 14 * * *" # Run at 7:37 AM Pacific Time (14:37 UTC) every day
+  workflow_dispatch: # Allows triggering the workflow manually in GitHub UI
+
+permissions:
+  contents: read
+
+# If another scheduled run starts while this workflow is still running,
+# cancel the earlier run in favor of the next run.
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  integration-tests:
+    name: Integration Tests
+    strategy:
+      matrix:
+        os: [ubuntu-latest]
+        python-version: ["3.11", "3.12"]
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          uv venv
+          uv pip install -r pyproject.toml
+          uv pip install -U pytest-asyncio vcrpy
+      - name: Run integration tests
+        env:
+          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
+          TAVILY_API_KEY: ${{ secrets.TAVILY_API_KEY }}
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+          LANGSMITH_TRACING: true
+          LANGSMITH_TEST_CACHE: tests/cassettes
+        run: |
+          uv run pytest tests/integration_tests

testeclone/docktent/.github/workflows/unit-tests.yml

@@ -0,0 +1,60 @@
+# This workflow will run unit tests for the current project
+
+name: CI
+
+on:
+  push:
+    branches: ["main"]
+  pull_request:
+  workflow_dispatch: # Allows triggering the workflow manually in GitHub UI
+
+permissions:
+  contents: read
+
+# If another push to the same PR or branch happens while this workflow is still running,
+# cancel the earlier run in favor of the next run.
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  unit-tests:
+    name: Unit Tests
+    strategy:
+      matrix:
+        os: [ubuntu-latest]
+        python-version: ["3.11", "3.12"]
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          uv venv
+          uv pip install -r pyproject.toml
+      - name: Lint with ruff
+        run: |
+          uv pip install ruff
+          uv run ruff check .
+      - name: Lint with mypy
+        run: |
+          uv pip install mypy
+          uv run mypy --strict src/
+      - name: Check README spelling
+        uses: codespell-project/actions-codespell@406322ec52dd7b488e48c1c4b82e2a8b3a1bf630 # v2
+        with:
+          ignore_words_file: .codespellignore
+          path: README.md
+      - name: Check code spelling
+        uses: codespell-project/actions-codespell@406322ec52dd7b488e48c1c4b82e2a8b3a1bf630 # v2
+        with:
+          ignore_words_file: .codespellignore
+          path: src/
+      - name: Run tests with pytest
+        run: |
+          uv pip install pytest
+          uv run pytest tests/unit_tests

testeclone/docktent/.gitignore

@@ -0,0 +1,164 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+.langgraph_api

testeclone/docktent/Dockerfile

@@ -0,0 +1,8 @@
+FROM python:3.12-slim
+WORKDIR /code
+RUN apt-get update && apt-get install -y --no-install-recommends build-essential && rm -rf /var/lib/apt/lists/*
+COPY ./requirements.txt /code/requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+COPY . .
+EXPOSE 7860
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

testeclone/docktent/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 LangChain
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

testeclone/docktent/Makefile

@@ -0,0 +1,67 @@
+.PHONY: all format lint test tests test_watch integration_tests docker_tests help extended_tests
+
+# Default target executed when no arguments are given to make.
+all: help
+
+# Define a variable for the test file path.
+TEST_FILE ?= tests/unit_tests/
+
+test:
+	python -m pytest $(TEST_FILE)
+
+integration_tests:
+	python -m pytest tests/integration_tests 
+
+test_watch:
+	python -m ptw --snapshot-update --now . -- -vv tests/unit_tests
+
+test_profile:
+	python -m pytest -vv tests/unit_tests/ --profile-svg
+
+extended_tests:
+	python -m pytest --only-extended $(TEST_FILE)
+
+
+######################
+# LINTING AND FORMATTING
+######################
+
+# Define a variable for Python and notebook files.
+PYTHON_FILES=src/
+MYPY_CACHE=.mypy_cache
+lint format: PYTHON_FILES=.
+lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d main | grep -E '\.py$$|\.ipynb$$')
+lint_package: PYTHON_FILES=src
+lint_tests: PYTHON_FILES=tests
+lint_tests: MYPY_CACHE=.mypy_cache_test
+
+lint lint_diff lint_package lint_tests:
+	python -m ruff check .
+	[ "$(PYTHON_FILES)" = "" ] || python -m ruff format $(PYTHON_FILES) --diff
+	[ "$(PYTHON_FILES)" = "" ] || python -m ruff check --select I $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || python -m mypy --strict $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && python -m mypy --strict $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
+
+format format_diff:
+	ruff format $(PYTHON_FILES)
+	ruff check --select I --fix $(PYTHON_FILES)
+
+spell_check:
+	codespell --toml pyproject.toml
+
+spell_fix:
+	codespell --toml pyproject.toml -w
+
+######################
+# HELP
+######################
+
+help:
+	@echo '----'
+	@echo 'format                       - run code formatters'
+	@echo 'lint                         - run linters'
+	@echo 'test                         - run unit tests'
+	@echo 'tests                        - run unit tests'
+	@echo 'test TEST_FILE=<test_file>   - run all tests in file'
+	@echo 'test_watch                   - run unit tests in watch mode'
+

testeclone/docktent/README.md

@@ -0,0 +1,10 @@
+---
+title: Stateless-Agent-Service
+emoji: 🤖
+colorFrom: blue
+colorTo: green
+sdk: docker
+app_port: 7860
+pinned: false
+---
+# Stateless Agent Engine

testeclone/docktent/agent.py

@@ -0,0 +1,135 @@
+from pathlib import Path
+from typing import Any, Dict, List
+from langchain_openai import ChatOpenAI
+from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
+from langchain_core.tools import tool
+from langgraph.prebuilt import create_react_agent
+
+def _make_file_tools(workspace: Path):
+    workspace = workspace.resolve()
+
+    @tool
+    def read_file(path: str) -> str:
+        """Read the contents of a file from the workspace."""
+        full = (workspace / path).resolve()
+        if not str(full).startswith(str(workspace)):
+            return "Error: path outside workspace."
+        if not full.exists():
+            return f"Error: file not found: {path}"
+        return full.read_text(encoding="utf-8", errors="replace")
+
+    @tool
+    def write_file(path: str, content: str) -> str:
+        """Write content to a file in the workspace (creates parent dirs)."""
+        full = (workspace / path).resolve()
+        if not str(full).startswith(str(workspace)):
+            return "Error: path outside workspace."
+        full.parent.mkdir(parents=True, exist_ok=True)
+        full.write_text(content, encoding="utf-8")
+        return f"Written: {path}"
+
+    @tool
+    def list_files(path: str = ".") -> str:
+        """List files and directories under a path in the workspace."""
+        full = (workspace / path).resolve()
+        if not str(full).startswith(str(workspace)):
+            return "Error: path outside workspace."
+        if not full.exists():
+            return f"Error: path not found: {path}"
+        items = []
+        for p in sorted(full.iterdir()):
+            tag = "[DIR]" if p.is_dir() else "[FILE]"
+            items.append(f"{tag} {p.relative_to(workspace)}")
+        return "\n".join(items) if items else "(empty)"
+
+    @tool
+    def delete_file(path: str) -> str:
+        """Delete a file or empty directory in the workspace."""
+        full = (workspace / path).resolve()
+        if not str(full).startswith(str(workspace)):
+            return "Error: path outside workspace."
+        if not full.exists():
+            return f"Error: not found: {path}"
+        if full.is_file():
+            full.unlink()
+            return f"Deleted file: {path}"
+        if full.is_dir():
+            full.rmdir()
+            return f"Deleted empty directory: {path}"
+        return f"Error: {path} is neither a file nor empty directory."
+
+    return [read_file, write_file, list_files, delete_file]
+
+def _build_system_message(workspace: Path) -> SystemMessage:
+    return SystemMessage(
+        content=(
+            f"You are a helpful AI assistant. Your workspace is at {workspace}.\n"
+            "You have file tools to read, write, list, and delete files in this workspace.\n"
+            "You can search and process information safely using your integrated knowledge.\n\n"
+            "=== LEAN WORKSPACE RULES ===\n"
+            "1. KEEP ONLY HIGH-VALUE FILES: Retain only final artifacts the user would want\n"
+            "   (reports, generated scripts, datasets, or files the user explicitly asked for).\n"
+            "2. AUTO-DELETE JUNK: Before finishing your response, use 'delete_file' to remove\n"
+            "   all intermediate scratch files, .tmp files, raw HTML dumps, logs, or any file\n"
+            "   that is NOT a final deliverable.\n"
+            "3. OVERWRITE — NEVER DUPLICATE: If you need to update a file, overwrite it in place\n"
+            "   using 'write_file' with the same path. Never create versioned copies (e.g.,\n"
+            "   report_v1.txt, report_v2.txt) unless the user explicitly asks for a new version.\n\n"
+            "When the user asks about their files or folder contents, use the file tools."
+        )
+    )
+
+async def run_agent(
+    openrouter_key: str,
+    workspace: Path,
+    user_message: str,
+    chat_history: List[Dict[str, str]],
+) -> Dict[str, Any]:
+    tools = _make_file_tools(workspace)
+
+    llm = ChatOpenAI(
+        model="openai/gpt-oss-20b:free",
+        openai_api_key=openrouter_key,
+        base_url="https://openrouter.ai/api/v1",
+        default_headers={
+            "HTTP-Referer": "https://huggingface.co/spaces/react-agent",
+            "X-Title": "React Agent Console",
+        },
+    )
+
+    agent = create_react_agent(
+        model=llm,
+        tools=tools
+    )
+
+    messages = [_build_system_message(workspace)]
+
+    for msg in chat_history:
+        role = msg.get("role", "")
+        content = msg.get("content", "")
+        if role == "user":
+            messages.append(HumanMessage(content=content))
+        elif role == "assistant":
+            messages.append(AIMessage(content=content))
+
+    messages.append(HumanMessage(content=user_message))
+
+    result = await agent.ainvoke({"messages": messages})
+
+    agent_response = ""
+    for msg in reversed(result.get("messages", [])):
+        if isinstance(msg, AIMessage) and msg.content:
+            agent_response = msg.content
+            break
+
+    updated_chat_history = []
+    for msg in result.get("messages", []):
+        if isinstance(msg, HumanMessage):
+            updated_chat_history.append({"role": "user", "content": msg.content})
+        elif isinstance(msg, AIMessage):
+            updated_chat_history.append({"role": "assistant", "content": msg.content})
+
+    return {
+        "agent_response": agent_response,
+        "updated_chat_history": updated_chat_history,
+    }

testeclone/docktent/app.py

@@ -0,0 +1,80 @@
+import base64
+import shutil
+from pathlib import Path
+from typing import Dict, List, Optional
+from contextlib import asynccontextmanager
+
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+
+from agent import run_agent
+
+
+class ChatRequest(BaseModel):
+    user_id: str
+    user_message: str
+    openrouter_key: str
+    current_chat_history: Optional[List[Dict[str, str]]] = None
+    user_files: Optional[Dict[str, str]] = None
+
+
+class ChatResponse(BaseModel):
+    agent_response: str
+    updated_chat_history: List[Dict[str, str]]
+    updated_files: Dict[str, str]
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    yield
+
+
+app = FastAPI(title="React Agent API", lifespan=lifespan)
+
+
+@app.post("/chat", response_model=ChatResponse)
+async def chat(request: ChatRequest):
+    if not request.openrouter_key:
+        raise HTTPException(status_code=400, detail="openrouter_key is required")
+
+    workspace = Path(f"/tmp/{request.user_id}")
+    workspace.mkdir(parents=True, exist_ok=True)
+
+    try:
+        if request.user_files:
+            for filename, content_b64 in request.user_files.items():
+                filepath = workspace / filename
+                filepath.parent.mkdir(parents=True, exist_ok=True)
+                filepath.write_bytes(base64.b64decode(content_b64))
+
+        result = await run_agent(
+            openrouter_key=request.openrouter_key,
+            workspace=workspace,
+            user_message=request.user_message,
+            chat_history=request.current_chat_history or [],
+        )
+
+        updated_files = {}
+        if workspace.exists():
+            for filepath in sorted(workspace.rglob("*")):
+                if filepath.is_file():
+                    rel_path = str(filepath.relative_to(workspace))
+                    updated_files[rel_path] = base64.b64encode(
+                        filepath.read_bytes()
+                    ).decode()
+
+        return ChatResponse(
+            agent_response=result["agent_response"],
+            updated_chat_history=result["updated_chat_history"],
+            updated_files=updated_files,
+        )
+
+    finally:
+        if workspace.exists():
+            shutil.rmtree(workspace, ignore_errors=True)
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    uvicorn.run(app, host="0.0.0.0", port=7860)

testeclone/docktent/langgraph.json

@@ -0,0 +1,8 @@
+{
+  "$schema": "https://langgra.ph/schema.json",
+  "dependencies": ["."],
+  "graphs": {
+    "agent": "./src/react_agent/graph.py:graph"
+  },
+  "env": ".env"
+}

testeclone/docktent/pyproject.toml

@@ -0,0 +1,68 @@
+[project]
+name = "react-agent"
+version = "0.0.1"
+description = "Starter template for making a custom Reasoning and Action agent (using tool calling) in LangGraph."
+authors = [
+    { name = "William Fu-Hinthorn", email = "13333726+hinthornw@users.noreply.github.com" },
+]
+readme = "README.md"
+license = { text = "MIT" }
+requires-python = ">=3.11,<4.0"
+dependencies = [
+    "langgraph>=1.0.0",
+    "langchain-openai>=0.2.0",
+    "langchain-core>=0.3.0",
+]
+
+
+[project.optional-dependencies]
+dev = ["mypy>=1.11.1", "ruff>=0.6.1", "fastapi>=0.115.0", "uvicorn[standard]>=0.32.0"]
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["langgraph.templates.react_agent", "react_agent"]
+[tool.setuptools.package-dir]
+"langgraph.templates.react_agent" = "src/react_agent"
+"react_agent" = "src/react_agent"
+
+
+[tool.setuptools.package-data]
+"*" = ["py.typed"]
+
+[tool.ruff]
+lint.select = [
+    "E",    # pycodestyle
+    "F",    # pyflakes
+    "I",    # isort
+    "D",    # pydocstyle
+    "D401", # First line should be in imperative mood
+    "T201",
+    "UP",
+]
+lint.ignore = [
+    "UP006",
+    "UP007",
+    # We actually do want to import from typing_extensions
+    "UP035",
+    # Relax the convention by _not_ requiring documentation for every function parameter.
+    "D417",
+    "E501",
+]
+[tool.ruff.lint.per-file-ignores]
+"tests/*" = ["D", "UP"]
+[tool.ruff.lint.pydocstyle]
+convention = "google"
+
+[tool.uv]
+# CVE-2026-32597: pyjwt < 2.12.0 accepts unknown `crit` header extensions.
+# Transitive via langgraph-api -> pyjwt. Remove once langgraph-api requires pyjwt>=2.12.0.
+constraint-dependencies = ["pyjwt>=2.12.0"]
+
+[dependency-groups]
+dev = [
+    "anyio>=4.7.0",
+    "pytest>=9.0.3",
+]

testeclone/docktent/requirements.txt

@@ -0,0 +1,5 @@
+fastapi>=0.115.0
+uvicorn[standard]>=0.32.0
+langchain-openai>=0.2.0
+langgraph>=1.0.0
+langchain-core>=0.3.0

testeclone/docktent/src/react_agent/__init__.py

@@ -0,0 +1,9 @@
+"""React Agent.
+
+This module defines a custom reasoning and action agent graph.
+It invokes tools in a simple loop.
+"""
+
+from react_agent.graph import graph
+
+__all__ = ["graph"]

testeclone/docktent/src/react_agent/context.py

@@ -0,0 +1,46 @@
+"""Define the configurable parameters for the agent."""
+
+from __future__ import annotations
+
+import os
+from dataclasses import dataclass, field, fields
+from typing import Annotated
+
+from . import prompts
+
+
+@dataclass(kw_only=True)
+class Context:
+    """The context for the agent."""
+
+    system_prompt: str = field(
+        default=prompts.SYSTEM_PROMPT,
+        metadata={
+            "description": "The system prompt to use for the agent's interactions. "
+            "This prompt sets the context and behavior for the agent."
+        },
+    )
+
+    model: Annotated[str, {"__template_metadata__": {"kind": "llm"}}] = field(
+        default="anthropic/claude-sonnet-4-5-20250929",
+        metadata={
+            "description": "The name of the language model to use for the agent's main interactions. "
+            "Should be in the form: provider/model-name."
+        },
+    )
+
+    max_search_results: int = field(
+        default=10,
+        metadata={
+            "description": "The maximum number of search results to return for each search query."
+        },
+    )
+
+    def __post_init__(self) -> None:
+        """Fetch env vars for attributes that were not passed as args."""
+        for f in fields(self):
+            if not f.init:
+                continue
+
+            if getattr(self, f.name) == f.default:
+                setattr(self, f.name, os.environ.get(f.name.upper(), f.default))

testeclone/docktent/src/react_agent/graph.py

@@ -0,0 +1,116 @@
+"""Define a custom Reasoning and Action agent.
+
+Works with a chat model with tool calling support.
+"""
+
+from datetime import UTC, datetime
+from typing import Dict, List, Literal, cast
+
+from langchain_core.messages import AIMessage
+from langgraph.graph import StateGraph
+from langgraph.prebuilt import ToolNode
+from langgraph.runtime import Runtime
+
+from react_agent.context import Context
+from react_agent.state import InputState, State
+from react_agent.tools import TOOLS
+from react_agent.utils import load_chat_model
+
+# Define the function that calls the model
+
+
+async def call_model(
+    state: State, runtime: Runtime[Context]
+) -> Dict[str, List[AIMessage]]:
+    """Call the LLM powering our "agent".
+
+    This function prepares the prompt, initializes the model, and processes the response.
+
+    Args:
+        state (State): The current state of the conversation.
+        config (RunnableConfig): Configuration for the model run.
+
+    Returns:
+        dict: A dictionary containing the model's response message.
+    """
+    # Initialize the model with tool binding. Change the model or add more tools here.
+    model = load_chat_model(runtime.context.model).bind_tools(TOOLS)
+
+    # Format the system prompt. Customize this to change the agent's behavior.
+    system_message = runtime.context.system_prompt.format(
+        system_time=datetime.now(tz=UTC).isoformat()
+    )
+
+    # Get the model's response
+    response = cast( # type: ignore[redundant-cast]
+        AIMessage,
+        await model.ainvoke(
+            [{"role": "system", "content": system_message}, *state.messages]
+        ),
+    )
+
+    # Handle the case when it's the last step and the model still wants to use a tool
+    if state.is_last_step and response.tool_calls:
+        return {
+            "messages": [
+                AIMessage(
+                    id=response.id,
+                    content="Sorry, I could not find an answer to your question in the specified number of steps.",
+                )
+            ]
+        }
+
+    # Return the model's response as a list to be added to existing messages
+    return {"messages": [response]}
+
+
+# Define a new graph
+
+builder = StateGraph(State, input_schema=InputState, context_schema=Context)
+
+# Define the two nodes we will cycle between
+builder.add_node(call_model)
+builder.add_node("tools", ToolNode(TOOLS))
+
+# Set the entrypoint as `call_model`
+# This means that this node is the first one called
+builder.add_edge("__start__", "call_model")
+
+
+def route_model_output(state: State) -> Literal["__end__", "tools"]:
+    """Determine the next node based on the model's output.
+
+    This function checks if the model's last message contains tool calls.
+
+    Args:
+        state (State): The current state of the conversation.
+
+    Returns:
+        str: The name of the next node to call ("__end__" or "tools").
+    """
+    last_message = state.messages[-1]
+    if not isinstance(last_message, AIMessage):
+        raise ValueError(
+            f"Expected AIMessage in output edges, but got {type(last_message).__name__}"
+        )
+    # If there is no tool call, then we finish
+    if not last_message.tool_calls:
+        return "__end__"
+    # Otherwise we execute the requested actions
+    return "tools"
+
+
+# Add a conditional edge to determine the next step after `call_model`
+builder.add_conditional_edges(
+    "call_model",
+    # After call_model finishes running, the next node(s) are scheduled
+    # based on the output from route_model_output
+    route_model_output,
+)
+
+# Add a normal edge from `tools` to `call_model`
+# This creates a cycle: after using tools, we always return to the model
+builder.add_edge("tools", "call_model")
+
+# Compile the builder into an executable graph
+graph = builder.compile(name="ReAct Agent")

testeclone/docktent/src/react_agent/prompts.py

@@ -0,0 +1,5 @@
+"""Default prompts used by the agent."""
+
+SYSTEM_PROMPT = """You are a helpful AI assistant.
+
+System time: {system_time}"""

testeclone/docktent/src/react_agent/state.py

@@ -0,0 +1,60 @@
+"""Define the state structures for the agent."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Sequence
+
+from langchain_core.messages import AnyMessage
+from langgraph.graph import add_messages
+from langgraph.managed import IsLastStep
+from typing_extensions import Annotated
+
+
+@dataclass
+class InputState:
+    """Defines the input state for the agent, representing a narrower interface to the outside world.
+
+    This class is used to define the initial state and structure of incoming data.
+    """
+
+    messages: Annotated[Sequence[AnyMessage], add_messages] = field(
+        default_factory=list
+    )
+    """
+    Messages tracking the primary execution state of the agent.
+
+    Typically accumulates a pattern of:
+    1. HumanMessage - user input
+    2. AIMessage with .tool_calls - agent picking tool(s) to use to collect information
+    3. ToolMessage(s) - the responses (or errors) from the executed tools
+    4. AIMessage without .tool_calls - agent responding in unstructured format to the user
+    5. HumanMessage - user responds with the next conversational turn
+
+    Steps 2-5 may repeat as needed.
+
+    The `add_messages` annotation ensures that new messages are merged with existing ones,
+    updating by ID to maintain an "append-only" state unless a message with the same ID is provided.
+    """
+
+
+@dataclass
+class State(InputState):
+    """Represents the complete state of the agent, extending InputState with additional attributes.
+
+    This class can be used to store any information needed throughout the agent's lifecycle.
+    """
+
+    is_last_step: IsLastStep = field(default=False)
+    """
+    Indicates whether the current step is the last one before the graph raises an error.
+
+    This is a 'managed' variable, controlled by the state machine rather than user code.
+    It is set to 'True' when the step count reaches recursion_limit - 1.
+    """
+
+    # Additional attributes can be added here as needed.
+    # Common examples include:
+    # retrieved_documents: List[Document] = field(default_factory=list)
+    # extracted_entities: Dict[str, Any] = field(default_factory=dict)
+    # api_connections: Dict[str, Any] = field(default_factory=dict)

testeclone/docktent/src/react_agent/tools.py

@@ -0,0 +1,29 @@
+"""This module provides example tools for web scraping and search functionality.
+
+It includes a basic Tavily search function (as an example)
+
+These tools are intended as free examples to get started. For production use,
+consider implementing more robust and specialized tools tailored to your needs.
+"""
+
+from typing import Any, Callable, List, Optional, cast
+
+from langchain_tavily import TavilySearch
+from langgraph.runtime import get_runtime
+
+from react_agent.context import Context
+
+
+async def search(query: str) -> Optional[dict[str, Any]]:
+    """Search for general web results.
+
+    This function performs a search using the Tavily search engine, which is designed
+    to provide comprehensive, accurate, and trusted results. It's particularly useful
+    for answering questions about current events.
+    """
+    runtime = get_runtime(Context)
+    wrapped = TavilySearch(max_results=runtime.context.max_search_results)
+    return cast(dict[str, Any], await wrapped.ainvoke({"query": query}))
+
+
+TOOLS: List[Callable[..., Any]] = [search]

testeclone/docktent/src/react_agent/utils.py

@@ -0,0 +1,27 @@
+"""Utility & helper functions."""
+
+from langchain.chat_models import init_chat_model
+from langchain_core.language_models import BaseChatModel
+from langchain_core.messages import BaseMessage
+
+
+def get_message_text(msg: BaseMessage) -> str:
+    """Get the text content of a message."""
+    content = msg.content
+    if isinstance(content, str):
+        return content
+    elif isinstance(content, dict):
+        return content.get("text", "")
+    else:
+        txts = [c if isinstance(c, str) else (c.get("text") or "") for c in content]
+        return "".join(txts).strip()
+
+
+def load_chat_model(fully_specified_name: str) -> BaseChatModel:
+    """Load a chat model from a fully specified name.
+
+    Args:
+        fully_specified_name (str): String in the format 'provider/model'.
+    """
+    provider, model = fully_specified_name.split("/", maxsplit=1)
+    return init_chat_model(model, model_provider=provider)

testeclone/docktent/tests/conftest.py

@@ -0,0 +1,7 @@
+import pytest
+
+
+@pytest.fixture(scope="session")
+def anyio_backend():
+    return "asyncio"
+