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Author SHA1 Message Date
openhands 81c5c204db Fix markdown code block formatting in chat window 2024-12-13 14:55:27 +00:00
109 changed files with 2972 additions and 2221 deletions
+3
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@@ -68,6 +68,9 @@ jobs:
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: "Set up docker layer caching"
uses: satackey/action-docker-layer-caching@v0.0.11
continue-on-error: true
- name: Build and push app image
if: "!github.event.pull_request.head.repo.fork"
run: |
+16 -34
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@@ -59,6 +59,7 @@ jobs:
github.event_name == 'workflow_call' ||
github.event.label.name == 'fix-me' ||
github.event.label.name == 'fix-me-experimental' ||
(
((github.event_name == 'issue_comment' || github.event_name == 'pull_request_review_comment') &&
contains(github.event.comment.body, inputs.macro || '@openhands-agent') &&
@@ -139,19 +140,15 @@ jobs:
- name: Set environment variables
run: |
# Handle pull request events first
if [ -n "${{ github.event.pull_request.number }}" ]; then
if [ -n "${{ github.event.review.body }}" ]; then
echo "ISSUE_NUMBER=${{ github.event.pull_request.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=pr" >> $GITHUB_ENV
# Handle pull request review events
elif [ -n "${{ github.event.review.body }}" ]; then
echo "ISSUE_NUMBER=${{ github.event.pull_request.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=pr" >> $GITHUB_ENV
# Handle issue comment events that reference a PR
elif [ -n "${{ github.event.issue.pull_request }}" ]; then
echo "ISSUE_NUMBER=${{ github.event.issue.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=pr" >> $GITHUB_ENV
# Handle regular issue events
elif [ -n "${{ github.event.pull_request.number }}" ]; then
echo "ISSUE_NUMBER=${{ github.event.pull_request.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=pr" >> $GITHUB_ENV
else
echo "ISSUE_NUMBER=${{ github.event.issue.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=issue" >> $GITHUB_ENV
@@ -184,32 +181,17 @@ jobs:
});
- name: Install OpenHands
uses: actions/github-script@v7
with:
script: |
const commentBody = `${{ github.event.comment.body || '' }}`.trim();
const reviewBody = `${{ github.event.review.body || '' }}`.trim();
const labelName = `${{ github.event.label.name || '' }}`.trim();
const eventName = `${{ github.event_name }}`.trim();
// Check conditions
const isExperimentalLabel = labelName === "fix-me-experimental";
const isIssueCommentExperimental =
(eventName === "issue_comment" || eventName === "pull_request_review_comment") &&
commentBody.includes("@openhands-agent-exp");
const isReviewCommentExperimental =
eventName === "pull_request_review" && reviewBody.includes("@openhands-agent-exp");
// Perform package installation
if (isExperimentalLabel || isIssueCommentExperimental || isReviewCommentExperimental) {
console.log("Installing experimental OpenHands...");
await exec.exec("python -m pip install --upgrade pip");
await exec.exec("pip install git+https://github.com/all-hands-ai/openhands.git");
} else {
console.log("Installing from requirements.txt...");
await exec.exec("python -m pip install --upgrade pip");
await exec.exec("pip install -r requirements.txt");
}
run: |
if [[ "${{ github.event.label.name }}" == "fix-me-experimental" ]] ||
([[ "${{ github.event_name }}" == "issue_comment" || "${{ github.event_name }}" == "pull_request_review_comment" ]] &&
[[ "${{ github.event.comment.body }}" == "@openhands-agent-exp"* ]]) ||
([[ "${{ github.event_name }}" == "pull_request_review" ]] &&
[[ "${{ github.event.review.body }}" == "@openhands-agent-exp"* ]]); then
python -m pip install --upgrade pip
pip install git+https://github.com/all-hands-ai/openhands.git
else
python -m pip install --upgrade -r requirements.txt
fi
- name: Attempt to resolve issue
env:
-1
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@@ -1 +0,0 @@
22
+1 -2
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@@ -45,11 +45,10 @@ system requirements and more information.
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.15-nikolaik
docker run -it --rm --pull=always \
docker run -it --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.15-nikolaik \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands:/home/openhands/.openhands \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
-4
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@@ -172,10 +172,6 @@ model = "gpt-4o"
# If model is vision capable, this option allows to disable image processing (useful for cost reduction).
#disable_vision = true
# Custom tokenizer to use for token counting
# https://docs.litellm.ai/docs/completion/token_usage
#custom_tokenizer = ""
[llm.gpt4o-mini]
api_key = "your-api-key"
model = "gpt-4o"
-2
View File
@@ -42,8 +42,6 @@ ENV USE_HOST_NETWORK=false
ENV WORKSPACE_BASE=/opt/workspace_base
ENV OPENHANDS_BUILD_VERSION=$OPENHANDS_BUILD_VERSION
ENV SANDBOX_USER_ID=0
ENV FILE_STORE=local
ENV FILE_STORE_PATH=~/.openhands
RUN mkdir -p $WORKSPACE_BASE
RUN apt-get update -y \
+2 -2
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@@ -14,7 +14,7 @@ Micro-agents are defined in markdown files under the `openhands/agenthub/codeact
## Available Micro-Agents
### GitHub Agent
**File**: `github.md`
**File**: `github.md`
**Triggers**: `github`, `git`
The GitHub agent specializes in GitHub API interactions and repository management. It:
@@ -30,7 +30,7 @@ Key features:
- API-first approach for GitHub operations
### NPM Agent
**File**: `npm.md`
**File**: `npm.md`
**Triggers**: `npm`
Specializes in handling npm package management with specific focus on:
@@ -90,7 +90,7 @@ When working with a customized repository:
Example customized prompt:
```
Add a new task completion feature to src/components/TaskList.tsx following our existing component patterns.
Add a new task completion feature to src/components/TaskList.tsx following our existing component patterns.
Include unit tests in tests/components/ and update the documentation in docs/features/.
The component should use our shared styling from src/styles/components.
```
+28
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@@ -0,0 +1,28 @@
CODEACT_SWE_PROMPT = """Now, you're going to solve this issue on your own. Your terminal session has started and you're in the repository's root directory. You can use any bash commands or the special interface to help you. Edit all the files you need to and run any checks or tests that you want.
Remember, YOU CAN ONLY ENTER ONE COMMAND AT A TIME. You should always wait for feedback after every command.
When you're satisfied with all of the changes you've made, you can use the "finish" tool to finish the interaction.
Note however that you cannot use any interactive session commands (e.g. vim) in this environment, but you can write scripts and run them. E.g. you can write a python script and then run it with `python <script_name>.py`.
NOTE ABOUT THE EDIT COMMAND: Indentation really matters! When editing a file, make sure to insert appropriate indentation before each line!
IMPORTANT TIPS:
1. Always start by trying to replicate the bug that the issues discusses.
If the issue includes code for reproducing the bug, we recommend that you re-implement that in your environment, and run it to make sure you can reproduce the bug.
Then start trying to fix it.
When you think you've fixed the bug, re-run the bug reproduction script to make sure that the bug has indeed been fixed.
If the bug reproduction script does not print anything when it successfully runs, we recommend adding a print("Script completed successfully, no errors.") command at the end of the file,
so that you can be sure that the script indeed ran fine all the way through.
2. If you run a command and it doesn't work, try running a different command. A command that did not work once will not work the second time unless you modify it!
3. If you open a file and need to get to an area around a specific line that is not in the first 100 lines, say line 583, don't just use the scroll_down command multiple times. Instead, use the goto 583 command. It's much quicker.
4. If the bug reproduction script requires inputting/reading a specific file, such as buggy-input.png, and you'd like to understand how to input that file, conduct a search in the existing repo code, to see whether someone else has already done that. Do this by running the command: find_file("buggy-input.png") If that doesn't work, use the linux 'find' command.
5. Always make sure to look at the currently open file and the current working directory (which appears right after the currently open file). The currently open file might be in a different directory than the working directory! Note that some commands, such as 'create', open files, so they might change the current open file.
6. When editing files, it is easy to accidentally specify a wrong line number or to write code with incorrect indentation. Always check the code after you issue an edit to make sure that it reflects what you wanted to accomplish. If it didn't, issue another command to fix it.
[Current directory: /workspace/{workspace_dir_name}]
"""
+36 -22
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@@ -9,6 +9,7 @@ import toml
from datasets import load_dataset
import openhands.agenthub
from evaluation.benchmarks.swe_bench.prompt import CODEACT_SWE_PROMPT
from evaluation.utils.shared import (
EvalException,
EvalMetadata,
@@ -44,6 +45,7 @@ RUN_WITH_BROWSING = os.environ.get('RUN_WITH_BROWSING', 'false').lower() == 'tru
AGENT_CLS_TO_FAKE_USER_RESPONSE_FN = {
'CodeActAgent': codeact_user_response,
'CodeActSWEAgent': codeact_user_response,
}
@@ -54,28 +56,40 @@ def _get_swebench_workspace_dir_name(instance: pd.Series) -> str:
def get_instruction(instance: pd.Series, metadata: EvalMetadata):
workspace_dir_name = _get_swebench_workspace_dir_name(instance)
# Prepare instruction
# Instruction based on Anthropic's official trajectory
# https://github.com/eschluntz/swe-bench-experiments/tree/main/evaluation/verified/20241022_tools_claude-3-5-sonnet-updated/trajs
instruction = (
'<uploaded_files>\n'
f'/workspace/{workspace_dir_name}\n'
'</uploaded_files>\n'
f"I've uploaded a python code repository in the directory {workspace_dir_name}. Consider the following PR description:\n\n"
f'<pr_description>\n'
f'{instance.problem_statement}\n'
'</pr_description>\n\n'
'Can you help me implement the necessary changes to the repository so that the requirements specified in the <pr_description> are met?\n'
"I've already taken care of all changes to any of the test files described in the <pr_description>. This means you DON'T have to modify the testing logic or any of the tests in any way!\n"
'Your task is to make the minimal changes to non-tests files in the /workspace directory to ensure the <pr_description> is satisfied.\n'
'Follow these steps to resolve the issue:\n'
'1. As a first step, it might be a good idea to explore the repo to familiarize yourself with its structure.\n'
'2. Create a script to reproduce the error and execute it with `python <filename.py>` using the BashTool, to confirm the error\n'
'3. Edit the sourcecode of the repo to resolve the issue\n'
'4. Rerun your reproduce script and confirm that the error is fixed!\n'
'5. Think about edgecases and make sure your fix handles them as well\n'
"Your thinking should be thorough and so it's fine if it's very long.\n"
)
if metadata.agent_class == 'CodeActSWEAgent':
instruction = (
'We are currently solving the following issue within our repository. Here is the issue text:\n'
'--- BEGIN ISSUE ---\n'
f'{instance.problem_statement}\n'
'--- END ISSUE ---\n\n'
)
if USE_HINT_TEXT and instance.hints_text:
instruction += (
f'--- BEGIN HINTS ---\n{instance.hints_text}\n--- END HINTS ---\n'
)
instruction += CODEACT_SWE_PROMPT.format(workspace_dir_name=workspace_dir_name)
else:
# Instruction based on Anthropic's official trajectory
# https://github.com/eschluntz/swe-bench-experiments/tree/main/evaluation/verified/20241022_tools_claude-3-5-sonnet-updated/trajs
instruction = (
'<uploaded_files>\n'
f'/workspace/{workspace_dir_name}\n'
'</uploaded_files>\n'
f"I've uploaded a python code repository in the directory {workspace_dir_name}. Consider the following PR description:\n\n"
f'<pr_description>\n'
f'{instance.problem_statement}\n'
'</pr_description>\n\n'
'Can you help me implement the necessary changes to the repository so that the requirements specified in the <pr_description> are met?\n'
"I've already taken care of all changes to any of the test files described in the <pr_description>. This means you DON'T have to modify the testing logic or any of the tests in any way!\n"
'Your task is to make the minimal changes to non-tests files in the /workspace directory to ensure the <pr_description> is satisfied.\n'
'Follow these steps to resolve the issue:\n'
'1. As a first step, it might be a good idea to explore the repo to familiarize yourself with its structure.\n'
'2. Create a script to reproduce the error and execute it with `python <filename.py>` using the BashTool, to confirm the error\n'
'3. Edit the sourcecode of the repo to resolve the issue\n'
'4. Rerun your reproduce script and confirm that the error is fixed!\n'
'5. Think about edgecases and make sure your fix handles them as well\n'
"Your thinking should be thorough and so it's fine if it's very long.\n"
)
if RUN_WITH_BROWSING:
instruction += (
@@ -51,22 +51,6 @@ describe("ChatInput", () => {
expect(onSubmitMock).not.toHaveBeenCalled();
});
it("should not call onSubmit when the message is only whitespace", async () => {
const user = userEvent.setup();
render(<ChatInput onSubmit={onSubmitMock} />);
const textarea = screen.getByRole("textbox");
await user.type(textarea, " ");
await user.keyboard("{Enter}");
expect(onSubmitMock).not.toHaveBeenCalled();
await user.type(textarea, " \t\n");
await user.keyboard("{Enter}");
expect(onSubmitMock).not.toHaveBeenCalled();
});
it("should disable submit", async () => {
const user = userEvent.setup();
render(<ChatInput disabled onSubmit={onSubmitMock} />);
@@ -2,28 +2,12 @@ import { describe, expect, it } from "vitest";
import { screen } from "@testing-library/react";
import { renderWithProviders } from "test-utils";
import { ExpandableMessage } from "#/components/features/chat/expandable-message";
import { vi } from 'vitest';
vi.mock('react-i18next', async () => {
const actual = await vi.importActual('react-i18next');
return {
...actual,
useTranslation: () => ({
t: (key:string) => key,
i18n: {
changeLanguage: () => new Promise(() => {}),
language: 'en',
exists: () => true,
},
}),
}
});
describe("ExpandableMessage", () => {
it("should render with neutral border for non-action messages", () => {
renderWithProviders(<ExpandableMessage message="Hello" type="thought" />);
const element = screen.getByText("Hello");
const container = element.closest("div.flex.gap-2.items-center.justify-start");
const container = element.closest("div.flex.gap-2.items-center.justify-between");
expect(container).toHaveClass("border-neutral-300");
expect(screen.queryByTestId("status-icon")).not.toBeInTheDocument();
});
@@ -31,22 +15,21 @@ describe("ExpandableMessage", () => {
it("should render with neutral border for error messages", () => {
renderWithProviders(<ExpandableMessage message="Error occurred" type="error" />);
const element = screen.getByText("Error occurred");
const container = element.closest("div.flex.gap-2.items-center.justify-start");
expect(container).toHaveClass("border-danger");
const container = element.closest("div.flex.gap-2.items-center.justify-between");
expect(container).toHaveClass("border-neutral-300");
expect(screen.queryByTestId("status-icon")).not.toBeInTheDocument();
});
it("should render with success icon for successful action messages", () => {
renderWithProviders(
<ExpandableMessage
id="OBSERVATION_MESSAGE$RUN"
message="Command executed successfully"
type="action"
success={true}
/>
);
const element = screen.getByText("OBSERVATION_MESSAGE$RUN");
const container = element.closest("div.flex.gap-2.items-center.justify-start");
const element = screen.getByText("Command executed successfully");
const container = element.closest("div.flex.gap-2.items-center.justify-between");
expect(container).toHaveClass("border-neutral-300");
const icon = screen.getByTestId("status-icon");
expect(icon).toHaveClass("fill-success");
@@ -55,29 +38,22 @@ describe("ExpandableMessage", () => {
it("should render with error icon for failed action messages", () => {
renderWithProviders(
<ExpandableMessage
id="OBSERVATION_MESSAGE$RUN"
message="Command failed"
type="action"
success={false}
/>
);
const element = screen.getByText("OBSERVATION_MESSAGE$RUN");
const container = element.closest("div.flex.gap-2.items-center.justify-start");
const element = screen.getByText("Command failed");
const container = element.closest("div.flex.gap-2.items-center.justify-between");
expect(container).toHaveClass("border-neutral-300");
const icon = screen.getByTestId("status-icon");
expect(icon).toHaveClass("fill-danger");
});
it("should render with neutral border and no icon for action messages without success prop", () => {
renderWithProviders(
<ExpandableMessage
id="OBSERVATION_MESSAGE$RUN"
message="Running command"
type="action"
/>
);
const element = screen.getByText("OBSERVATION_MESSAGE$RUN");
const container = element.closest("div.flex.gap-2.items-center.justify-start");
renderWithProviders(<ExpandableMessage message="Running command" type="action" />);
const element = screen.getByText("Running command");
const container = element.closest("div.flex.gap-2.items-center.justify-between");
expect(container).toHaveClass("border-neutral-300");
expect(screen.queryByTestId("status-icon")).not.toBeInTheDocument();
});
@@ -1,45 +0,0 @@
import { render, screen } from "@testing-library/react";
import { Provider } from "react-redux";
import { configureStore } from "@reduxjs/toolkit";
import { JupyterEditor } from "#/components/features/jupyter/jupyter";
import { jupyterReducer } from "#/state/jupyter-slice";
import { vi, describe, it, expect } from "vitest";
describe("JupyterEditor", () => {
const mockStore = configureStore({
reducer: {
fileState: () => ({}),
initalQuery: () => ({}),
browser: () => ({}),
chat: () => ({}),
code: () => ({}),
cmd: () => ({}),
agent: () => ({}),
jupyter: jupyterReducer,
securityAnalyzer: () => ({}),
status: () => ({}),
},
preloadedState: {
jupyter: {
cells: Array(20).fill({
content: "Test cell content",
type: "input",
output: "Test output",
}),
},
},
});
it("should have a scrollable container", () => {
render(
<Provider store={mockStore}>
<div style={{ height: "100vh" }}>
<JupyterEditor maxWidth={800} />
</div>
</Provider>
);
const container = screen.getByTestId("jupyter-container");
expect(container).toHaveClass("flex-1 overflow-y-auto");
});
});
@@ -4,6 +4,26 @@ import { vi, describe, afterEach, it, expect } from "vitest";
import { Command, appendInput, appendOutput } from "#/state/command-slice";
import Terminal from "#/components/features/terminal/terminal";
global.ResizeObserver = vi.fn().mockImplementation(() => ({
observe: vi.fn(),
disconnect: vi.fn(),
}));
const mockTerminal = {
open: vi.fn(),
write: vi.fn(),
writeln: vi.fn(),
dispose: vi.fn(),
onKey: vi.fn(),
attachCustomKeyEventHandler: vi.fn(),
loadAddon: vi.fn(),
};
vi.mock("@xterm/xterm", async (importOriginal) => ({
...(await importOriginal<typeof import("@xterm/xterm")>()),
Terminal: vi.fn().mockImplementation(() => mockTerminal),
}));
const renderTerminal = (commands: Command[] = []) =>
renderWithProviders(<Terminal secrets={[]} />, {
preloadedState: {
@@ -14,26 +34,6 @@ const renderTerminal = (commands: Command[] = []) =>
});
describe.skip("Terminal", () => {
global.ResizeObserver = vi.fn().mockImplementation(() => ({
observe: vi.fn(),
disconnect: vi.fn(),
}));
const mockTerminal = {
open: vi.fn(),
write: vi.fn(),
writeln: vi.fn(),
dispose: vi.fn(),
onKey: vi.fn(),
attachCustomKeyEventHandler: vi.fn(),
loadAddon: vi.fn(),
};
vi.mock("@xterm/xterm", async (importOriginal) => ({
...(await importOriginal<typeof import("@xterm/xterm")>()),
Terminal: vi.fn().mockImplementation(() => mockTerminal),
}));
afterEach(() => {
vi.clearAllMocks();
});
@@ -5,6 +5,7 @@ import { ReactNode } from "react";
import { useTerminal } from "#/hooks/use-terminal";
import { Command } from "#/state/command-slice";
interface TestTerminalComponentProps {
commands: Command[];
secrets: string[];
@@ -14,7 +15,7 @@ function TestTerminalComponent({
commands,
secrets,
}: TestTerminalComponentProps) {
const ref = useTerminal({ commands, secrets, disabled: false });
const ref = useTerminal(commands, secrets);
return <div ref={ref} />;
}
@@ -23,7 +24,9 @@ interface WrapperProps {
}
function Wrapper({ children }: WrapperProps) {
return <div>{children}</div>;
return (
<div>{children}</div>
)
}
describe("useTerminal", () => {
+6
View File
@@ -39,6 +39,12 @@ describe("frontend/routes/_oh", () => {
await screen.findByTestId("root-layout");
});
it("should render the AI config modal if the user is authed", async () => {
// Our mock return value is true by default
renderWithProviders(<RouteStub />);
await screen.findByTestId("ai-config-modal");
});
it("should render the AI config modal if settings are not up-to-date", async () => {
settingsAreUpToDateMock.mockReturnValue(false);
renderWithProviders(<RouteStub />);
+2 -2
View File
@@ -1,12 +1,12 @@
{
"name": "openhands-frontend",
"version": "0.15.3",
"version": "0.15.2",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "openhands-frontend",
"version": "0.15.3",
"version": "0.15.2",
"dependencies": {
"@monaco-editor/react": "^4.6.0",
"@nextui-org/react": "^2.4.8",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "openhands-frontend",
"version": "0.15.3",
"version": "0.15.2",
"private": true,
"type": "module",
"engines": {
+5
View File
@@ -0,0 +1,5 @@
{
"APP_MODE": "oss",
"GITHUB_CLIENT_ID": "",
"POSTHOG_CLIENT_KEY": "phc_3ESMmY9SgqEAGBB6sMGK5ayYHkeUuknH2vP6FmWH9RA"
}
+2 -84
View File
@@ -1,4 +1,4 @@
import axios, { AxiosError } from "axios";
import axios from "axios";
const github = axios.create({
baseURL: "https://api.github.com",
@@ -18,86 +18,4 @@ const removeAuthTokenHeader = () => {
}
};
/**
* Checks if response has attributes to perform refresh
*/
const canRefresh = (error: unknown): boolean =>
!!(
error instanceof AxiosError &&
error.config &&
error.response &&
error.response.status
);
/**
* Checks if the data is a GitHub error response
* @param data The data to check
* @returns Boolean indicating if the data is a GitHub error response
*/
export const isGitHubErrorReponse = <T extends object | Array<unknown>>(
data: T | GitHubErrorReponse | null,
): data is GitHubErrorReponse =>
!!data && "message" in data && data.message !== undefined;
// Axios interceptor to handle token refresh
const setupAxiosInterceptors = (
refreshToken: () => Promise<boolean>,
logout: () => void,
) => {
github.interceptors.response.use(
// Pass successful responses through
(response) => {
const parsedData = response.data;
if (isGitHubErrorReponse(parsedData)) {
const error = new AxiosError(
"Failed",
"",
response.config,
response.request,
response,
);
throw error;
}
return response;
},
// Retry request exactly once if token is expired
async (error) => {
if (!canRefresh(error)) {
return Promise.reject(new Error("Failed to refresh token"));
}
const originalRequest = error.config;
// Check if the error is due to an expired token
if (
error.response.status === 401 &&
!originalRequest._retry // Prevent infinite retry loops
) {
originalRequest._retry = true;
try {
const refreshed = await refreshToken();
if (refreshed) {
return await github(originalRequest);
}
logout();
return await Promise.reject(new Error("Failed to refresh token"));
} catch (refreshError) {
// If token refresh fails, evict the user
logout();
return Promise.reject(refreshError);
}
}
// If the error is not due to an expired token, propagate the error
return Promise.reject(error);
},
);
};
export {
github,
setAuthTokenHeader,
removeAuthTokenHeader,
setupAxiosInterceptors,
};
export { github, setAuthTokenHeader, removeAuthTokenHeader };
+50 -68
View File
@@ -1,81 +1,42 @@
import { extractNextPageFromLink } from "#/utils/extract-next-page-from-link";
import { github } from "./github-axios-instance";
import { openHands } from "./open-hands-axios";
/**
* Given the user, retrieves app installations IDs for OpenHands Github App
* Uses user access token for Github App
* Checks if the data is a GitHub error response
* @param data The data to check
* @returns Boolean indicating if the data is a GitHub error response
*/
export const retrieveGitHubAppInstallations = async (): Promise<number[]> => {
const response = await github.get<GithubAppInstallation>(
"/user/installations",
);
return response.data.installations.map((installation) => installation.id);
};
export const isGitHubErrorReponse = <T extends object | Array<unknown>>(
data: T | GitHubErrorReponse | null,
): data is GitHubErrorReponse =>
!!data && "message" in data && data.message !== undefined;
/**
* Retrieves repositories where OpenHands Github App has been installed
* @param installationIndex Pagination cursor position for app installation IDs
* @param installations Collection of all App installation IDs for OpenHands Github App
* @returns A list of repositories
*/
export const retrieveGitHubAppRepositories = async (
installationIndex: number,
installations: number[],
page = 1,
per_page = 30,
) => {
const installationId = installations[installationIndex];
const response = await openHands.get<GitHubAppRepository>(
"/api/github/repositories",
{
params: {
sort: "pushed",
page,
per_page,
installation_id: installationId,
},
},
);
const link = response.headers.link ?? "";
const nextPage = extractNextPageFromLink(link);
let nextInstallation: number | null;
if (nextPage) {
nextInstallation = installationIndex;
} else if (installationIndex + 1 < installations.length) {
nextInstallation = installationIndex + 1;
} else {
nextInstallation = null;
}
return {
data: response.data.repositories,
nextPage,
installationIndex: nextInstallation,
};
};
/**
* Given a PAT, retrieves the repositories of the user
* @returns A list of repositories
* Given a GitHub token, retrieves the repositories of the authenticated user
* @param token The GitHub token
* @returns A list of repositories or an error response
*/
export const retrieveGitHubUserRepositories = async (
page = 1,
per_page = 30,
) => {
const response = await openHands.get<GitHubRepository[]>(
"/api/github/repositories",
{
params: {
sort: "pushed",
page,
per_page,
},
const response = await github.get<GitHubRepository[]>("/user/repos", {
params: {
sort: "pushed",
page,
per_page,
},
);
transformResponse: (data) => {
const parsedData: GitHubRepository[] | GitHubErrorReponse =
JSON.parse(data);
if (isGitHubErrorReponse(parsedData)) {
throw new Error(parsedData.message);
}
return parsedData;
},
});
const link = response.headers.link ?? "";
const nextPage = extractNextPageFromLink(link);
@@ -85,10 +46,21 @@ export const retrieveGitHubUserRepositories = async (
/**
* Given a GitHub token, retrieves the authenticated user
* @param token The GitHub token
* @returns The authenticated user or an error response
*/
export const retrieveGitHubUser = async () => {
const response = await github.get<GitHubUser>("/user");
const response = await github.get<GitHubUser>("/user", {
transformResponse: (data) => {
const parsedData: GitHubUser | GitHubErrorReponse = JSON.parse(data);
if (isGitHubErrorReponse(parsedData)) {
throw new Error(parsedData.message);
}
return parsedData;
},
});
const { data } = response;
@@ -107,14 +79,24 @@ export const retrieveGitHubUser = async () => {
export const retrieveLatestGitHubCommit = async (
repository: string,
): Promise<GitHubCommit> => {
const response = await github.get<GitHubCommit[]>(
const response = await github.get<GitHubCommit>(
`/repos/${repository}/commits`,
{
params: {
per_page: 1,
},
transformResponse: (data) => {
const parsedData: GitHubCommit[] | GitHubErrorReponse =
JSON.parse(data);
if (isGitHubErrorReponse(parsedData)) {
throw new Error(parsedData.message);
}
return parsedData[0];
},
},
);
return response.data[0];
return response.data;
};
+1 -17
View File
@@ -42,9 +42,7 @@ class OpenHands {
}
static async getConfig(): Promise<GetConfigResponse> {
const { data } = await openHands.get<GetConfigResponse>(
"/api/options/config",
);
const { data } = await openHands.get<GetConfigResponse>("/config.json");
return data;
}
@@ -138,20 +136,6 @@ class OpenHands {
return response.status === 200;
}
/**
* Refresh Github Token
* @returns Refreshed Github access token
*/
static async refreshToken(
appMode: GetConfigResponse["APP_MODE"],
): Promise<string> {
if (appMode === "oss") return "";
const response =
await openHands.post<GitHubAccessTokenResponse>("/api/refresh-token");
return response.data.access_token;
}
/**
* Get the blob of the workspace zip
* @returns Blob of the workspace zip
-1
View File
@@ -43,7 +43,6 @@ export interface Feedback {
export interface GetConfigResponse {
APP_MODE: "saas" | "oss";
APP_SLUG?: string;
GITHUB_CLIENT_ID: string;
POSTHOG_CLIENT_KEY: string;
}
@@ -84,7 +84,7 @@ export function ChatInput({
const handleSubmitMessage = () => {
const message = value || textareaRef.current?.value || "";
if (message.trim()) {
if (message) {
onSubmit(message);
onChange?.("");
if (textareaRef.current) {
@@ -8,7 +8,6 @@ import ArrowUp from "#/icons/angle-up-solid.svg?react";
import ArrowDown from "#/icons/angle-down-solid.svg?react";
import CheckCircle from "#/icons/check-circle-solid.svg?react";
import XCircle from "#/icons/x-circle-solid.svg?react";
import { cn } from "#/utils/utils";
interface ExpandableMessageProps {
id?: string;
@@ -36,63 +35,27 @@ export function ExpandableMessage({
}
}, [id, message, i18n.language]);
const arrowClasses = "h-4 w-4 ml-2 inline fill-neutral-300";
const statusIconClasses = "h-4 w-4 ml-2 inline";
return (
<div
className={cn(
"flex gap-2 items-center justify-start border-l-2 pl-2 my-2 py-2",
type === "error" ? "border-danger" : "border-neutral-300",
)}
>
<div className="text-sm w-full">
<div className="flex gap-2 items-center justify-between border-l-2 border-neutral-300 pl-2 my-2 py-2">
<div className="text-sm leading-4 flex flex-col gap-2 max-w-full">
{headline && (
<div className="flex flex-row justify-between items-center w-full">
<span
className={cn(
"font-bold",
type === "error" ? "text-danger" : "text-neutral-300",
)}
<p className="text-neutral-300 font-bold">
{headline}
<button
type="button"
onClick={() => setShowDetails(!showDetails)}
className="cursor-pointer text-left"
>
{headline}
<button
type="button"
onClick={() => setShowDetails(!showDetails)}
className="cursor-pointer text-left"
>
{showDetails ? (
<ArrowUp
className={cn(
"h-4 w-4 ml-2 inline",
type === "error" ? "fill-danger" : "fill-neutral-300",
)}
/>
) : (
<ArrowDown
className={cn(
"h-4 w-4 ml-2 inline",
type === "error" ? "fill-danger" : "fill-neutral-300",
)}
/>
)}
</button>
</span>
{type === "action" && success !== undefined && (
<span className="flex-shrink-0">
{success ? (
<CheckCircle
data-testid="status-icon"
className={cn(statusIconClasses, "fill-success")}
/>
) : (
<XCircle
data-testid="status-icon"
className={cn(statusIconClasses, "fill-danger")}
/>
)}
</span>
)}
</div>
{showDetails ? (
<ArrowUp className={arrowClasses} />
) : (
<ArrowDown className={arrowClasses} />
)}
</button>
</p>
)}
{showDetails && (
<Markdown
@@ -108,6 +71,21 @@ export function ExpandableMessage({
</Markdown>
)}
</div>
{type === "action" && success !== undefined && (
<div className="flex-shrink-0">
{success ? (
<CheckCircle
data-testid="status-icon"
className={`${statusIconClasses} fill-success`}
/>
) : (
<XCircle
data-testid="status-icon"
className={`${statusIconClasses} fill-danger`}
/>
)}
</div>
)}
</div>
);
}
@@ -15,10 +15,6 @@ import { FileExplorerHeader } from "./file-explorer-header";
import { useVSCodeUrl } from "#/hooks/query/use-vscode-url";
import { OpenVSCodeButton } from "#/components/shared/buttons/open-vscode-button";
import { addAssistantMessage } from "#/state/chat-slice";
import {
useWsClient,
WsClientProviderStatus,
} from "#/context/ws-client-provider";
interface FileExplorerProps {
isOpen: boolean;
@@ -26,7 +22,6 @@ interface FileExplorerProps {
}
export function FileExplorer({ isOpen, onToggle }: FileExplorerProps) {
const { status } = useWsClient();
const { t } = useTranslation();
const dispatch = useDispatch();
@@ -35,11 +30,12 @@ export function FileExplorer({ isOpen, onToggle }: FileExplorerProps) {
const { curAgentState } = useSelector((state: RootState) => state.agent);
const agentIsReady =
curAgentState !== AgentState.INIT && curAgentState !== AgentState.LOADING;
const { data: paths, refetch, error } = useListFiles();
const { mutate: uploadFiles } = useUploadFiles();
const { data: vscodeUrl } = useVSCodeUrl({
enabled: status === WsClientProviderStatus.ACTIVE,
});
const { data: vscodeUrl } = useVSCodeUrl({ enabled: agentIsReady });
const handleOpenVSCode = () => {
if (vscodeUrl?.vscode_url) {
@@ -170,7 +166,7 @@ export function FileExplorer({ isOpen, onToggle }: FileExplorerProps) {
{isOpen && (
<OpenVSCodeButton
onClick={handleOpenVSCode}
isDisabled={status === WsClientProviderStatus.OPENING}
isDisabled={!agentIsReady}
/>
)}
</div>
@@ -2,7 +2,6 @@ import { Autocomplete, AutocompleteItem } from "@nextui-org/react";
import { useDispatch } from "react-redux";
import posthog from "posthog-js";
import { setSelectedRepository } from "#/state/initial-query-slice";
import { useConfig } from "#/hooks/query/use-config";
interface GitHubRepositorySelectorProps {
onSelect: () => void;
@@ -13,25 +12,11 @@ export function GitHubRepositorySelector({
onSelect,
repositories,
}: GitHubRepositorySelectorProps) {
const { data: config } = useConfig();
// Add option to install app onto more repos
const finalRepositories =
config?.APP_MODE === "saas"
? [{ id: -1000, full_name: "Add more repositories..." }, ...repositories]
: repositories;
const dispatch = useDispatch();
const handleRepoSelection = (id: string | null) => {
const repo = finalRepositories.find((r) => r.id.toString() === id);
if (id === "-1000") {
if (config?.APP_SLUG)
window.open(
`https://github.com/apps/${config.APP_SLUG}/installations/new`,
"_blank",
);
} else if (repo) {
const repo = repositories.find((r) => r.id.toString() === id);
if (repo) {
// set query param
dispatch(setSelectedRepository(repo.full_name));
posthog.capture("repository_selected");
@@ -44,19 +29,6 @@ export function GitHubRepositorySelector({
dispatch(setSelectedRepository(null));
};
const emptyContent = config?.APP_SLUG ? (
<a
href={`https://github.com/apps/${config.APP_SLUG}/installations/new`}
target="_blank"
rel="noreferrer noopener"
className="underline"
>
Add more repositories...
</a>
) : (
"No results found."
);
return (
<Autocomplete
data-testid="github-repo-selector"
@@ -71,11 +43,8 @@ export function GitHubRepositorySelector({
}}
onSelectionChange={(id) => handleRepoSelection(id?.toString() ?? null)}
clearButtonProps={{ onClick: handleClearSelection }}
listboxProps={{
emptyContent,
}}
>
{finalRepositories.map((repo) => (
{repositories.map((repo) => (
<AutocompleteItem
data-testid="github-repo-item"
key={repo.id}
@@ -1,11 +1,11 @@
import React from "react";
import { isGitHubErrorReponse } from "#/api/github";
import { SuggestionBox } from "#/components/features/suggestions/suggestion-box";
import GitHubLogo from "#/assets/branding/github-logo.svg?react";
import { GitHubRepositorySelector } from "./github-repo-selector";
import { ModalButton } from "#/components/shared/buttons/modal-button";
import { ConnectToGitHubModal } from "#/components/shared/modals/connect-to-github-modal";
import { ModalBackdrop } from "#/components/shared/modals/modal-backdrop";
import { isGitHubErrorReponse } from "#/api/github-axios-instance";
interface GitHubRepositoriesSuggestionBoxProps {
handleSubmit: () => void;
@@ -10,17 +10,16 @@ interface JupyterEditorProps {
}
export function JupyterEditor({ maxWidth }: JupyterEditorProps) {
const cells = useSelector((state: RootState) => state.jupyter?.cells ?? []);
const { cells } = useSelector((state: RootState) => state.jupyter);
const jupyterRef = React.useRef<HTMLDivElement>(null);
const { hitBottom, scrollDomToBottom, onChatBodyScroll } =
useScrollToBottom(jupyterRef);
return (
<div className="flex-1 h-full flex flex-col" style={{ maxWidth }}>
<div className="flex-1" style={{ maxWidth }}>
<div
data-testid="jupyter-container"
className="flex-1 overflow-y-auto"
className="overflow-y-auto h-full"
ref={jupyterRef}
onScroll={(e) => onChatBodyScroll(e.currentTarget)}
>
@@ -17,38 +17,19 @@ export function code({
const match = /language-(\w+)/.exec(className || ""); // get the language
if (!match) {
const isMultiline = String(children).includes("\n");
if (!isMultiline) {
return (
<code
className={className}
style={{
backgroundColor: "#2a3038",
padding: "0.2em 0.4em",
borderRadius: "4px",
color: "#e6edf3",
border: "1px solid #30363d",
}}
>
{children}
</code>
);
}
return (
<pre
<code
className={className}
style={{
backgroundColor: "#2a3038",
padding: "1em",
padding: "0.2em 0.4em",
borderRadius: "4px",
color: "#e6edf3",
border: "1px solid #30363d",
overflow: "auto",
}}
>
<code className={className}>{String(children).replace(/\n$/, "")}</code>
</pre>
{children}
</code>
);
}
@@ -1,23 +0,0 @@
import {
useWsClient,
WsClientProviderStatus,
} from "#/context/ws-client-provider";
import { cn } from "#/utils/utils";
export function TerminalStatusLabel() {
const { status } = useWsClient();
return (
<div className="flex items-center gap-2">
<div
className={cn(
"w-2 h-2 rounded-full",
status === WsClientProviderStatus.ACTIVE && "bg-green-500",
status !== WsClientProviderStatus.ACTIVE &&
"bg-red-500 animate-pulse",
)}
/>
Terminal
</div>
);
}
@@ -1,25 +1,16 @@
import { useSelector } from "react-redux";
import { RootState } from "#/store";
import { useTerminal } from "#/hooks/use-terminal";
import "@xterm/xterm/css/xterm.css";
import {
useWsClient,
WsClientProviderStatus,
} from "#/context/ws-client-provider";
interface TerminalProps {
secrets: string[];
}
function Terminal({ secrets }: TerminalProps) {
const { status } = useWsClient();
const { commands } = useSelector((state: RootState) => state.cmd);
const ref = useTerminal({
commands,
secrets,
disabled: status === WsClientProviderStatus.OPENING,
});
const ref = useTerminal(commands, secrets);
return (
<div className="h-full p-2 min-h-0">
+1 -1
View File
@@ -3,7 +3,7 @@ import React from "react";
import { NavTab } from "./nav-tab";
interface ContainerProps {
label?: React.ReactNode;
label?: string;
labels?: {
label: string | React.ReactNode;
to: string;
@@ -13,7 +13,6 @@ import { handleCaptureConsent } from "#/utils/handle-capture-consent";
import { ModalButton } from "../../buttons/modal-button";
import { CustomInput } from "../../custom-input";
import { FormFieldset } from "../../form-fieldset";
import { useConfig } from "#/hooks/query/use-config";
interface AccountSettingsFormProps {
onClose: () => void;
@@ -29,7 +28,6 @@ export function AccountSettingsForm({
analyticsConsent,
}: AccountSettingsFormProps) {
const { gitHubToken, setGitHubToken, logout } = useAuth();
const { data: config } = useConfig();
const { saveSettings } = useUserPrefs();
const { t } = useTranslation();
@@ -66,16 +64,6 @@ export function AccountSettingsForm({
<div className="w-full flex flex-col gap-2">
<BaseModalTitle title="Account Settings" />
{config?.APP_MODE === "saas" && config?.APP_SLUG && (
<a
href={`https://github.com/apps/${config.APP_SLUG}/installations/new`}
target="_blank"
rel="noreferrer noopener"
className="underline"
>
Configure Github Repositories
</a>
)}
<FormFieldset
id="language"
label="Language"
@@ -87,27 +75,23 @@ export function AccountSettingsForm({
}))}
/>
{config?.APP_MODE !== "saas" && (
<>
<CustomInput
name="ghToken"
label="GitHub Token"
type="password"
defaultValue={gitHubToken ?? ""}
/>
<BaseModalDescription>
{t(I18nKey.CONNECT_TO_GITHUB_MODAL$GET_YOUR_TOKEN)}{" "}
<a
href="https://github.com/settings/tokens/new?description=openhands-app&scopes=repo,user,workflow"
target="_blank"
rel="noreferrer noopener"
className="text-[#791B80] underline"
>
{t(I18nKey.CONNECT_TO_GITHUB_MODAL$HERE)}
</a>
</BaseModalDescription>
</>
)}
<CustomInput
name="ghToken"
label="GitHub Token"
type="password"
defaultValue={gitHubToken ?? ""}
/>
<BaseModalDescription>
{t(I18nKey.CONNECT_TO_GITHUB_MODAL$GET_YOUR_TOKEN)}{" "}
<a
href="https://github.com/settings/tokens/new?description=openhands-app&scopes=repo,user,workflow"
target="_blank"
rel="noreferrer noopener"
className="text-[#791B80] underline"
>
{t(I18nKey.CONNECT_TO_GITHUB_MODAL$HERE)}
</a>
</BaseModalDescription>
{gitHubError && (
<p className="text-danger text-xs">
{t(I18nKey.ACCOUNT_SETTINGS_MODAL$GITHUB_TOKEN_INVALID)}
@@ -24,7 +24,6 @@ import { CustomModelInput } from "../../inputs/custom-model-input";
import { SecurityAnalyzerInput } from "../../inputs/security-analyzers-input";
import { ModalBackdrop } from "../modal-backdrop";
import { ModelSelector } from "./model-selector";
import { useAuth } from "#/context/auth-context";
interface SettingsFormProps {
disabled?: boolean;
@@ -45,7 +44,6 @@ export function SettingsForm({
}: SettingsFormProps) {
const { saveSettings } = useUserPrefs();
const endSession = useEndSession();
const { logout } = useAuth();
const location = useLocation();
const { t } = useTranslation();
@@ -98,9 +96,9 @@ export function SettingsForm({
const isUsingAdvancedOptions = keys.includes("use-advanced-options");
const newSettings = extractSettings(formData);
saveSettingsView(isUsingAdvancedOptions ? "advanced" : "basic");
updateSettingsVersion(logout);
saveSettings(newSettings);
saveSettingsView(isUsingAdvancedOptions ? "advanced" : "basic");
updateSettingsVersion();
resetOngoingSession();
posthog.capture("settings_saved", {
+5 -27
View File
@@ -1,6 +1,5 @@
import posthog from "posthog-js";
import React from "react";
import OpenHands from "#/api/open-hands";
import {
removeAuthTokenHeader as removeOpenHandsAuthTokenHeader,
removeGitHubTokenHeader as removeOpenHandsGitHubTokenHeader,
@@ -10,7 +9,6 @@ import {
import {
setAuthTokenHeader as setGitHubAuthTokenHeader,
removeAuthTokenHeader as removeGitHubAuthTokenHeader,
setupAxiosInterceptors as setupGithubAxiosInterceptors,
} from "#/api/github-axios-instance";
interface AuthContextType {
@@ -20,7 +18,6 @@ interface AuthContextType {
setGitHubToken: (token: string | null) => void;
clearToken: () => void;
clearGitHubToken: () => void;
refreshToken: () => Promise<boolean>;
logout: () => void;
}
@@ -72,37 +69,19 @@ function AuthProvider({ children }: React.PropsWithChildren) {
}
};
const logout = () => {
clearGitHubToken();
posthog.reset();
};
const refreshToken = async (): Promise<boolean> => {
const config = await OpenHands.getConfig();
if (config.APP_MODE !== "saas" || !gitHubTokenState) {
return false;
}
const newToken = await OpenHands.refreshToken(config.APP_MODE);
if (newToken) {
setGitHubToken(newToken);
return true;
}
clearGitHubToken();
return false;
};
React.useEffect(() => {
const storedToken = localStorage.getItem("token");
const storedGitHubToken = localStorage.getItem("ghToken");
setToken(storedToken);
setGitHubToken(storedGitHubToken);
setupGithubAxiosInterceptors(refreshToken, logout);
}, []);
const logout = () => {
clearGitHubToken();
posthog.reset();
};
const value = React.useMemo(
() => ({
token: tokenState,
@@ -111,7 +90,6 @@ function AuthProvider({ children }: React.PropsWithChildren) {
setGitHubToken,
clearToken,
clearGitHubToken,
refreshToken,
logout,
}),
[tokenState, gitHubTokenState],
+1 -3
View File
@@ -4,9 +4,9 @@ import { io, Socket } from "socket.io-client";
import { Settings } from "#/services/settings";
import ActionType from "#/types/action-type";
import EventLogger from "#/utils/event-logger";
import AgentState from "#/types/agent-state";
import { handleAssistantMessage } from "#/services/actions";
import { useRate } from "#/hooks/use-rate";
import AgentState from "#/types/agent-state";
const isOpenHandsMessage = (event: Record<string, unknown>) =>
event.action === "message";
@@ -102,12 +102,10 @@ export function WsClientProvider({
if (!Number.isNaN(parseInt(event.id as string, 10))) {
lastEventRef.current = event;
}
const extras = event.extras as Record<string, unknown>;
if (extras?.agent_state === AgentState.INIT) {
setStatus(WsClientProviderStatus.ACTIVE);
}
if (
status !== WsClientProviderStatus.ACTIVE &&
event?.observation === "error"
@@ -1,21 +0,0 @@
import { useQuery } from "@tanstack/react-query";
import { useAuth } from "#/context/auth-context";
import { useConfig } from "./use-config";
import { retrieveGitHubAppInstallations } from "#/api/github";
export const useAppInstallations = () => {
const { data: config } = useConfig();
const { gitHubToken } = useAuth();
return useQuery({
queryKey: ["installations", gitHubToken, config?.GITHUB_CLIENT_ID],
queryFn: async () => {
const data = await retrieveGitHubAppInstallations();
return data;
},
enabled:
!!gitHubToken &&
!!config?.GITHUB_CLIENT_ID &&
config?.APP_MODE === "saas",
});
};
@@ -1,65 +0,0 @@
import { useInfiniteQuery } from "@tanstack/react-query";
import React from "react";
import { retrieveGitHubAppRepositories } from "#/api/github";
import { useAuth } from "#/context/auth-context";
import { useAppInstallations } from "./use-app-installations";
import { useConfig } from "./use-config";
export const useAppRepositories = () => {
const { gitHubToken } = useAuth();
const { data: config } = useConfig();
const { data: installations } = useAppInstallations();
const repos = useInfiniteQuery({
queryKey: ["repositories", gitHubToken, installations],
queryFn: async ({
pageParam,
}: {
pageParam: { installationIndex: number | null; repoPage: number | null };
}) => {
const { repoPage, installationIndex } = pageParam;
if (!installations) {
throw new Error("Missing installation list");
}
return retrieveGitHubAppRepositories(
installationIndex || 0,
installations,
repoPage || 1,
30,
);
},
initialPageParam: { installationIndex: 0, repoPage: 1 },
getNextPageParam: (lastPage) => {
if (lastPage.nextPage) {
return {
installationIndex: lastPage.installationIndex,
repoPage: lastPage.nextPage,
};
}
if (lastPage.installationIndex !== null) {
return { installationIndex: lastPage.installationIndex, repoPage: 1 };
}
return null;
},
enabled:
!!gitHubToken &&
Array.isArray(installations) &&
installations.length > 0 &&
config?.APP_MODE === "saas",
});
// TODO: Once we create our custom dropdown component, we should fetch data onEndReached
// (nextui autocomplete doesn't support onEndReached nor is it compatible for extending)
const { isSuccess, isFetchingNextPage, hasNextPage, fetchNextPage } = repos;
React.useEffect(() => {
if (!isFetchingNextPage && isSuccess && hasNextPage) {
fetchNextPage();
}
}, [isFetchingNextPage, isSuccess, hasNextPage, fetchNextPage]);
return repos;
};
@@ -2,11 +2,9 @@ import { useInfiniteQuery } from "@tanstack/react-query";
import React from "react";
import { retrieveGitHubUserRepositories } from "#/api/github";
import { useAuth } from "#/context/auth-context";
import { useConfig } from "./use-config";
export const useUserRepositories = () => {
const { gitHubToken } = useAuth();
const { data: config } = useConfig();
const repos = useInfiniteQuery({
queryKey: ["repositories", gitHubToken],
@@ -14,7 +12,7 @@ export const useUserRepositories = () => {
retrieveGitHubUserRepositories(pageParam, 100),
initialPageParam: 1,
getNextPageParam: (lastPage) => lastPage.nextPage,
enabled: !!gitHubToken && config?.APP_MODE === "oss",
enabled: !!gitHubToken,
});
// TODO: Once we create our custom dropdown component, we should fetch data onEndReached
+30 -75
View File
@@ -11,29 +11,15 @@ import { useWsClient } from "#/context/ws-client-provider";
The reason for this is that the hook exposes a ref that requires a DOM element to be rendered.
*/
interface UseTerminalConfig {
commands: Command[];
secrets: string[];
disabled: boolean;
}
const DEFAULT_TERMINAL_CONFIG: UseTerminalConfig = {
commands: [],
secrets: [],
disabled: false,
};
export const useTerminal = ({
commands,
secrets,
disabled,
}: UseTerminalConfig = DEFAULT_TERMINAL_CONFIG) => {
export const useTerminal = (
commands: Command[] = [],
secrets: string[] = [],
) => {
const { send } = useWsClient();
const terminal = React.useRef<Terminal | null>(null);
const fitAddon = React.useRef<FitAddon | null>(null);
const ref = React.useRef<HTMLDivElement>(null);
const lastCommandIndex = React.useRef(0);
const keyEventDisposable = React.useRef<{ dispose: () => void } | null>(null);
const createTerminal = () =>
new Terminal({
@@ -99,12 +85,36 @@ export const useTerminal = ({
terminal.current = createTerminal();
fitAddon.current = new FitAddon();
let resizeObserver: ResizeObserver | null = null;
let resizeObserver: ResizeObserver;
let commandBuffer = "";
if (ref.current) {
/* Initialize the terminal in the DOM */
initializeTerminal();
terminal.current.write("$ ");
terminal.current.onKey(({ key, domEvent }) => {
if (domEvent.key === "Enter") {
handleEnter(commandBuffer);
commandBuffer = "";
} else if (domEvent.key === "Backspace") {
if (commandBuffer.length > 0) {
commandBuffer = handleBackspace(commandBuffer);
}
} else {
// Ignore paste event
if (key.charCodeAt(0) === 22) {
return;
}
commandBuffer += key;
terminal.current?.write(key);
}
});
terminal.current.attachCustomKeyEventHandler((event) =>
pasteHandler(event, (text) => {
commandBuffer += text;
}),
);
/* Listen for resize events */
resizeObserver = new ResizeObserver(() => {
@@ -115,7 +125,7 @@ export const useTerminal = ({
return () => {
terminal.current?.dispose();
resizeObserver?.disconnect();
resizeObserver.disconnect();
};
}, []);
@@ -142,60 +152,5 @@ export const useTerminal = ({
}
}, [commands]);
React.useEffect(() => {
if (terminal.current) {
// Dispose of existing listeners if they exist
if (keyEventDisposable.current) {
keyEventDisposable.current.dispose();
keyEventDisposable.current = null;
}
let commandBuffer = "";
if (!disabled) {
// Add new key event listener and store the disposable
keyEventDisposable.current = terminal.current.onKey(
({ key, domEvent }) => {
if (domEvent.key === "Enter") {
handleEnter(commandBuffer);
commandBuffer = "";
} else if (domEvent.key === "Backspace") {
if (commandBuffer.length > 0) {
commandBuffer = handleBackspace(commandBuffer);
}
} else {
// Ignore paste event
if (key.charCodeAt(0) === 22) {
return;
}
commandBuffer += key;
terminal.current?.write(key);
}
},
);
// Add custom key handler and store the disposable
terminal.current.attachCustomKeyEventHandler((event) =>
pasteHandler(event, (text) => {
commandBuffer += text;
}),
);
} else {
// Add a noop handler when disabled
keyEventDisposable.current = terminal.current.onKey((e) => {
e.domEvent.preventDefault();
e.domEvent.stopPropagation();
});
}
}
return () => {
if (keyEventDisposable.current) {
keyEventDisposable.current.dispose();
keyEventDisposable.current = null;
}
};
}, [disabled]);
return ref;
};
+18 -2
View File
@@ -27,7 +27,7 @@ code {
monospace;
}
.markdown-body code {
.markdown-body :not(pre) > code {
padding: 0.2em 0.4em;
margin: 0;
font-size: 85%;
@@ -39,9 +39,25 @@ code {
letter-spacing: -0.2px;
}
.markdown-body pre {
background-color: #2a3038;
border-radius: 6px;
padding: 16px;
border: 1px solid #30363d;
overflow: auto;
}
.markdown-body pre code {
padding: 0;
background-color: inherit;
margin: 0;
font-size: 85%;
white-space: pre;
background-color: transparent;
border: 0;
display: block;
color: #e6edf3;
overflow: visible;
line-height: inherit;
}
.markdown-body {
+2 -7
View File
@@ -5,8 +5,6 @@ import posthog from "posthog-js";
import { setImportedProjectZip } from "#/state/initial-query-slice";
import { convertZipToBase64 } from "#/utils/convert-zip-to-base64";
import { useUserRepositories } from "#/hooks/query/use-user-repositories";
import { useAppRepositories } from "#/hooks/query/use-app-repositories";
import { useGitHubUser } from "#/hooks/query/use-github-user";
import { useGitHubAuthUrl } from "#/hooks/use-github-auth-url";
import { useConfig } from "#/hooks/query/use-config";
@@ -27,8 +25,7 @@ function Home() {
const { data: config } = useConfig();
const { data: user } = useGitHubUser();
const { data: appRepositories } = useAppRepositories();
const { data: userRepositories } = useUserRepositories();
const { data: repositories } = useUserRepositories();
const gitHubAuthUrl = useGitHubAuthUrl({
gitHubToken,
@@ -55,9 +52,7 @@ function Home() {
<GitHubRepositoriesSuggestionBox
handleSubmit={() => formRef.current?.requestSubmit()}
repositories={
userRepositories?.pages.flatMap((page) => page.data) ||
appRepositories?.pages.flatMap((page) => page.data) ||
[]
repositories?.pages.flatMap((page) => page.data) || []
}
gitHubAuthUrl={gitHubAuthUrl}
user={user || null}
+1 -1
View File
@@ -14,7 +14,7 @@ function Jupyter() {
}, []);
return (
<div ref={parentRef} className="h-full">
<div ref={parentRef}>
<JupyterEditor maxWidth={parentWidth} />
</div>
);
@@ -1,6 +1,7 @@
import React from "react";
import toast from "react-hot-toast";
import { useDispatch, useSelector } from "react-redux";
import { isGitHubErrorReponse } from "#/api/github";
import { useAuth } from "#/context/auth-context";
import {
useWsClient,
@@ -12,7 +13,6 @@ import { RootState } from "#/store";
import { base64ToBlob } from "#/utils/base64-to-blob";
import { useUploadFiles } from "../../../hooks/mutation/use-upload-files";
import { useGitHubUser } from "../../../hooks/query/use-github-user";
import { isGitHubErrorReponse } from "#/api/github-axios-instance";
export const useHandleRuntimeActive = () => {
const { gitHubToken } = useAuth();
+1 -5
View File
@@ -22,7 +22,6 @@ import { useConversationConfig } from "#/hooks/query/use-conversation-config";
import { Container } from "#/components/layout/container";
import Security from "#/components/shared/modals/security/security";
import { CountBadge } from "#/components/layout/count-badge";
import { TerminalStatusLabel } from "#/components/features/terminal/terminal-status-label";
function App() {
const { token, gitHubToken } = useAuth();
@@ -102,10 +101,7 @@ function App() {
</Container>
{/* Terminal uses some API that is not compatible in a server-environment. For this reason, we lazy load it to ensure
* that it loads only in the client-side. */}
<Container
className="h-1/3 overflow-scroll"
label={<TerminalStatusLabel />}
>
<Container className="h-1/3 overflow-scroll" label="Terminal">
<React.Suspense fallback={<div className="h-full" />}>
<Terminal secrets={secrets} />
</React.Suspense>
+1 -12
View File
@@ -9,7 +9,6 @@ import { useConfig } from "#/hooks/query/use-config";
import { Sidebar } from "#/components/features/sidebar/sidebar";
import { WaitlistModal } from "#/components/features/waitlist/waitlist-modal";
import { AnalyticsConsentFormModal } from "#/components/features/analytics/analytics-consent-form-modal";
import { SettingsModal } from "#/components/shared/modals/settings/settings-modal";
export function ErrorBoundary() {
const error = useRouteError();
@@ -45,15 +44,12 @@ export function ErrorBoundary() {
export default function MainApp() {
const { gitHubToken, clearToken } = useAuth();
const { settings, settingsAreUpToDate } = useUserPrefs();
const { settings } = useUserPrefs();
const [consentFormIsOpen, setConsentFormIsOpen] = React.useState(
!localStorage.getItem("analytics-consent"),
);
const [aiConfigModalIsOpen, setAiConfigModalIsOpen] =
React.useState(!settingsAreUpToDate);
const config = useConfig();
const {
data: isAuthed,
@@ -100,13 +96,6 @@ export default function MainApp() {
onClose={() => setConsentFormIsOpen(false)}
/>
)}
{aiConfigModalIsOpen && (
<SettingsModal
onClose={() => setAiConfigModalIsOpen(false)}
data-testid="ai-config-modal"
/>
)}
</div>
);
}
+2 -7
View File
@@ -1,4 +1,4 @@
export const LATEST_SETTINGS_VERSION = 4;
export const LATEST_SETTINGS_VERSION = 3;
export type Settings = {
LLM_MODEL: string;
@@ -35,11 +35,10 @@ export const getCurrentSettingsVersion = () => {
export const settingsAreUpToDate = () =>
getCurrentSettingsVersion() === LATEST_SETTINGS_VERSION;
export const maybeMigrateSettings = (logout: () => void) => {
export const maybeMigrateSettings = () => {
// Sometimes we ship major changes, like a new default agent.
// In this case, we may want to override a previous choice made by the user.
const currentVersion = getCurrentSettingsVersion();
if (currentVersion < 1) {
localStorage.setItem("AGENT", DEFAULT_SETTINGS.AGENT);
}
@@ -54,10 +53,6 @@ export const maybeMigrateSettings = (logout: () => void) => {
if (currentVersion < 3) {
localStorage.removeItem("token");
}
if (currentVersion < 4) {
logout();
}
};
/**
+4 -5
View File
@@ -7,8 +7,8 @@ export type Cell = {
const initialCells: Cell[] = [];
export const jupyterSlice = createSlice({
name: "jupyter",
export const cellSlice = createSlice({
name: "cell",
initialState: {
cells: initialCells,
},
@@ -26,7 +26,6 @@ export const jupyterSlice = createSlice({
});
export const { appendJupyterInput, appendJupyterOutput, clearJupyter } =
jupyterSlice.actions;
cellSlice.actions;
export const jupyterReducer = jupyterSlice.reducer;
export default jupyterReducer;
export default cellSlice.reducer;
+1 -1
View File
@@ -6,7 +6,7 @@ import codeReducer from "./state/code-slice";
import fileStateReducer from "./state/file-state-slice";
import initialQueryReducer from "./state/initial-query-slice";
import commandReducer from "./state/command-slice";
import { jupyterReducer } from "./state/jupyter-slice";
import jupyterReducer from "./state/jupyter-slice";
import securityAnalyzerReducer from "./state/security-analyzer-slice";
import statusReducer from "./state/status-slice";
-8
View File
@@ -18,10 +18,6 @@ interface GitHubRepository {
full_name: string;
}
interface GitHubAppRepository {
repositories: GitHubRepository[];
}
interface GitHubCommit {
html_url: string;
sha: string;
@@ -31,7 +27,3 @@ interface GitHubCommit {
};
};
}
interface GithubAppInstallation {
installations: { id: number }[];
}
@@ -6,6 +6,5 @@
*/
export const generateGitHubAuthUrl = (clientId: string, requestUrl: URL) => {
const redirectUri = `${requestUrl.origin}/oauth/github/callback`;
const scope = "repo,user,workflow,offline_access";
return `https://github.com/login/oauth/authorize?client_id=${clientId}&redirect_uri=${encodeURIComponent(redirectUri)}&scope=${encodeURIComponent(scope)}`;
return `https://github.com/login/oauth/authorize?client_id=${clientId}&redirect_uri=${encodeURIComponent(redirectUri)}&scope=repo,user,workflow`;
};
+2 -2
View File
@@ -82,9 +82,9 @@ const saveSettingsView = (view: "basic" | "advanced") => {
* Updates the settings version in local storage if the current settings are not up to date.
* If the settings are outdated, it attempts to migrate them before updating the version.
*/
const updateSettingsVersion = (logout: () => void) => {
const updateSettingsVersion = () => {
if (!settingsAreUpToDate()) {
maybeMigrateSettings(logout);
maybeMigrateSettings();
localStorage.setItem(
"SETTINGS_VERSION",
LATEST_SETTINGS_VERSION.toString(),
+2
View File
@@ -10,6 +10,7 @@ load_dotenv()
from openhands.agenthub import ( # noqa: E402
browsing_agent,
codeact_agent,
codeact_swe_agent,
delegator_agent,
dummy_agent,
planner_agent,
@@ -17,6 +18,7 @@ from openhands.agenthub import ( # noqa: E402
__all__ = [
'codeact_agent',
'codeact_swe_agent',
'planner_agent',
'delegator_agent',
'dummy_agent',
+786
View File
@@ -0,0 +1,786 @@
import abc
import difflib
import logging
import platform
from copy import deepcopy
from dataclasses import asdict, dataclass
from textwrap import dedent
from typing import Literal, Union
from warnings import warn
from browsergym.core.action.base import AbstractActionSet
from browsergym.core.action.highlevel import HighLevelActionSet
from browsergym.core.action.python import PythonActionSet
from openhands.agenthub.browsing_agent.utils import (
ParseError,
parse_html_tags_raise,
)
from openhands.runtime.browser.browser_env import BrowserEnv
@dataclass
class Flags:
use_html: bool = True
use_ax_tree: bool = False
drop_ax_tree_first: bool = True # This flag is no longer active TODO delete
use_thinking: bool = False
use_error_logs: bool = False
use_past_error_logs: bool = False
use_history: bool = False
use_action_history: bool = False
use_memory: bool = False
use_diff: bool = False
html_type: str = 'pruned_html'
use_concrete_example: bool = True
use_abstract_example: bool = False
multi_actions: bool = False
action_space: Literal[
'python', 'bid', 'coord', 'bid+coord', 'bid+nav', 'coord+nav', 'bid+coord+nav'
] = 'bid'
is_strict: bool = False
# This flag will be automatically disabled `if not chat_model_args.has_vision()`
use_screenshot: bool = True
enable_chat: bool = False
max_prompt_tokens: int = 100_000
extract_visible_tag: bool = False
extract_coords: Literal['False', 'center', 'box'] = 'False'
extract_visible_elements_only: bool = False
demo_mode: Literal['off', 'default', 'only_visible_elements'] = 'off'
def copy(self):
return deepcopy(self)
def asdict(self):
"""Helper for JSON serializble requirement."""
return asdict(self)
@classmethod
def from_dict(self, flags_dict):
"""Helper for JSON serializable requirement."""
if isinstance(flags_dict, Flags):
return flags_dict
if not isinstance(flags_dict, dict):
raise ValueError(
f'Unregcognized type for flags_dict of type {type(flags_dict)}.'
)
return Flags(**flags_dict)
class PromptElement:
"""Base class for all prompt elements. Prompt elements can be hidden.
Prompt elements are used to build the prompt. Use flags to control which
prompt elements are visible. We use class attributes as a convenient way
to implement static prompts, but feel free to override them with instance
attributes or @property decorator.
"""
_prompt = ''
_abstract_ex = ''
_concrete_ex = ''
def __init__(self, visible: bool = True) -> None:
"""Prompt element that can be hidden.
Parameters
----------
visible : bool, optional
Whether the prompt element should be visible, by default True. Can
be a callable that returns a bool. This is useful when a specific
flag changes during a shrink iteration.
"""
self._visible = visible
@property
def prompt(self):
"""Avoid overriding this method. Override _prompt instead."""
return self._hide(self._prompt)
@property
def abstract_ex(self):
"""Useful when this prompt element is requesting an answer from the llm.
Provide an abstract example of the answer here. See Memory for an
example.
Avoid overriding this method. Override _abstract_ex instead
"""
return self._hide(self._abstract_ex)
@property
def concrete_ex(self):
"""Useful when this prompt element is requesting an answer from the llm.
Provide a concrete example of the answer here. See Memory for an
example.
Avoid overriding this method. Override _concrete_ex instead
"""
return self._hide(self._concrete_ex)
@property
def is_visible(self):
"""Handle the case where visible is a callable."""
visible = self._visible
if callable(visible):
visible = visible()
return visible
def _hide(self, value):
"""Return value if visible is True, else return empty string."""
if self.is_visible:
return value
else:
return ''
def _parse_answer(self, text_answer) -> dict:
if self.is_visible:
return self._parse_answer(text_answer)
else:
return {}
class Shrinkable(PromptElement, abc.ABC):
@abc.abstractmethod
def shrink(self) -> None:
"""Implement shrinking of this prompt element.
You need to recursively call all shrinkable elements that are part of
this prompt. You can also implement a shrinking strategy for this prompt.
Shrinking is can be called multiple times to progressively shrink the
prompt until it fits max_tokens. Default max shrink iterations is 20.
"""
pass
class Truncater(Shrinkable):
"""A prompt element that can be truncated to fit the context length of the LLM.
Of course, it will be great that we never have to use the functionality here to `shrink()` the prompt.
Extend this class for prompt elements that can be truncated. Usually long observations such as AxTree or HTML.
"""
def __init__(self, visible, shrink_speed=0.3, start_truncate_iteration=10):
super().__init__(visible=visible)
self.shrink_speed = shrink_speed # the percentage shrunk in each iteration
self.start_truncate_iteration = (
start_truncate_iteration # the iteration to start truncating
)
self.shrink_calls = 0
self.deleted_lines = 0
def shrink(self) -> None:
if self.is_visible and self.shrink_calls >= self.start_truncate_iteration:
# remove the fraction of _prompt
lines = self._prompt.splitlines()
new_line_count = int(len(lines) * (1 - self.shrink_speed))
self.deleted_lines += len(lines) - new_line_count
self._prompt = '\n'.join(lines[:new_line_count])
self._prompt += (
f'\n... Deleted {self.deleted_lines} lines to reduce prompt size.'
)
self.shrink_calls += 1
def fit_tokens(
shrinkable: Shrinkable,
max_prompt_chars=None,
max_iterations=20,
):
"""Shrink a prompt element until it fits max_tokens.
Parameters
----------
shrinkable : Shrinkable
The prompt element to shrink.
max_prompt_chars : int
The maximum number of chars allowed.
max_iterations : int, optional
The maximum number of shrink iterations, by default 20.
model_name : str, optional
The name of the model used when tokenizing.
Returns:
-------
str : the prompt after shrinking.
"""
if max_prompt_chars is None:
return shrinkable.prompt
for _ in range(max_iterations):
prompt = shrinkable.prompt
if isinstance(prompt, str):
prompt_str = prompt
elif isinstance(prompt, list):
prompt_str = '\n'.join([p['text'] for p in prompt if p['type'] == 'text'])
else:
raise ValueError(f'Unrecognized type for prompt: {type(prompt)}')
n_chars = len(prompt_str)
if n_chars <= max_prompt_chars:
return prompt
shrinkable.shrink()
logging.info(
dedent(
f"""\
After {max_iterations} shrink iterations, the prompt is still
{len(prompt_str)} chars (greater than {max_prompt_chars}). Returning the prompt as is."""
)
)
return prompt
class HTML(Truncater):
def __init__(self, html, visible: bool = True, prefix='') -> None:
super().__init__(visible=visible, start_truncate_iteration=5)
self._prompt = f'\n{prefix}HTML:\n{html}\n'
class AXTree(Truncater):
def __init__(
self, ax_tree, visible: bool = True, coord_type=None, prefix=''
) -> None:
super().__init__(visible=visible, start_truncate_iteration=10)
if coord_type == 'center':
coord_note = """\
Note: center coordinates are provided in parenthesis and are
relative to the top left corner of the page.\n\n"""
elif coord_type == 'box':
coord_note = """\
Note: bounding box of each object are provided in parenthesis and are
relative to the top left corner of the page.\n\n"""
else:
coord_note = ''
self._prompt = f'\n{prefix}AXTree:\n{coord_note}{ax_tree}\n'
class Error(PromptElement):
def __init__(self, error, visible: bool = True, prefix='') -> None:
super().__init__(visible=visible)
self._prompt = f'\n{prefix}Error from previous action:\n{error}\n'
class Observation(Shrinkable):
"""Observation of the current step.
Contains the html, the accessibility tree and the error logs.
"""
def __init__(self, obs, flags: Flags) -> None:
super().__init__()
self.flags = flags
self.obs = obs
self.html = HTML(obs[flags.html_type], visible=flags.use_html, prefix='## ')
self.ax_tree = AXTree(
obs['axtree_txt'],
visible=flags.use_ax_tree,
coord_type=flags.extract_coords,
prefix='## ',
)
self.error = Error(
obs['last_action_error'],
visible=flags.use_error_logs and obs['last_action_error'],
prefix='## ',
)
def shrink(self):
self.ax_tree.shrink()
self.html.shrink()
@property
def _prompt(self) -> str: # type: ignore
return f'\n# Observation of current step:\n{self.html.prompt}{self.ax_tree.prompt}{self.error.prompt}\n\n'
def add_screenshot(self, prompt):
if self.flags.use_screenshot:
if isinstance(prompt, str):
prompt = [{'type': 'text', 'text': prompt}]
img_url = BrowserEnv.image_to_jpg_base64_url(
self.obs['screenshot'], add_data_prefix=True
)
prompt.append({'type': 'image_url', 'image_url': img_url})
return prompt
class MacNote(PromptElement):
def __init__(self) -> None:
super().__init__(visible=platform.system() == 'Darwin')
self._prompt = '\nNote: you are on mac so you should use Meta instead of Control for Control+C etc.\n'
class BeCautious(PromptElement):
def __init__(self, visible: bool = True) -> None:
super().__init__(visible=visible)
self._prompt = """\
\nBe very cautious. Avoid submitting anything before verifying the effect of your
actions. Take the time to explore the effect of safe actions first. For example
you can fill a few elements of a form, but don't click submit before verifying
that everything was filled correctly.\n"""
class GoalInstructions(PromptElement):
def __init__(self, goal, visible: bool = True) -> None:
super().__init__(visible)
self._prompt = f"""\
# Instructions
Review the current state of the page and all other information to find the best
possible next action to accomplish your goal. Your answer will be interpreted
and executed by a program, make sure to follow the formatting instructions.
## Goal:
{goal}
"""
class ChatInstructions(PromptElement):
def __init__(self, chat_messages, visible: bool = True) -> None:
super().__init__(visible)
self._prompt = """\
# Instructions
You are a UI Assistant, your goal is to help the user perform tasks using a web browser. You can
communicate with the user via a chat, in which the user gives you instructions and in which you
can send back messages. You have access to a web browser that both you and the user can see,
and with which only you can interact via specific commands.
Review the instructions from the user, the current state of the page and all other information
to find the best possible next action to accomplish your goal. Your answer will be interpreted
and executed by a program, make sure to follow the formatting instructions.
## Chat messages:
"""
self._prompt += '\n'.join(
[
f"""\
- [{msg['role']}], {msg['message']}"""
for msg in chat_messages
]
)
class SystemPrompt(PromptElement):
_prompt = """\
You are an agent trying to solve a web task based on the content of the page and
a user instructions. You can interact with the page and explore. Each time you
submit an action it will be sent to the browser and you will receive a new page."""
class MainPrompt(Shrinkable):
def __init__(
self,
obs_history,
actions,
memories,
thoughts,
flags: Flags,
) -> None:
super().__init__()
self.flags = flags
self.history = History(obs_history, actions, memories, thoughts, flags)
if self.flags.enable_chat:
self.instructions: Union[ChatInstructions, GoalInstructions] = (
ChatInstructions(obs_history[-1]['chat_messages'])
)
else:
if (
'chat_messages' in obs_history[-1]
and sum(
[msg['role'] == 'user' for msg in obs_history[-1]['chat_messages']]
)
> 1
):
logging.warning(
'Agent is in goal mode, but multiple user messages are present in the chat. Consider switching to `enable_chat=True`.'
)
self.instructions = GoalInstructions(obs_history[-1]['goal'])
self.obs = Observation(obs_history[-1], self.flags)
self.action_space = ActionSpace(self.flags)
self.think = Think(visible=flags.use_thinking)
self.memory = Memory(visible=flags.use_memory)
@property
def _prompt(self) -> str: # type: ignore
prompt = f"""\
{self.instructions.prompt}\
{self.obs.prompt}\
{self.history.prompt}\
{self.action_space.prompt}\
{self.think.prompt}\
{self.memory.prompt}\
"""
if self.flags.use_abstract_example:
prompt += f"""
# Abstract Example
Here is an abstract version of the answer with description of the content of
each tag. Make sure you follow this structure, but replace the content with your
answer:
{self.think.abstract_ex}\
{self.memory.abstract_ex}\
{self.action_space.abstract_ex}\
"""
if self.flags.use_concrete_example:
prompt += f"""
# Concrete Example
Here is a concrete example of how to format your answer.
Make sure to follow the template with proper tags:
{self.think.concrete_ex}\
{self.memory.concrete_ex}\
{self.action_space.concrete_ex}\
"""
return self.obs.add_screenshot(prompt)
def shrink(self):
self.history.shrink()
self.obs.shrink()
def _parse_answer(self, text_answer):
ans_dict = {}
ans_dict.update(self.think._parse_answer(text_answer))
ans_dict.update(self.memory._parse_answer(text_answer))
ans_dict.update(self.action_space._parse_answer(text_answer))
return ans_dict
class ActionSpace(PromptElement):
def __init__(self, flags: Flags) -> None:
super().__init__()
self.flags = flags
self.action_space = _get_action_space(flags)
self._prompt = (
f'# Action space:\n{self.action_space.describe()}{MacNote().prompt}\n'
)
self._abstract_ex = f"""
<action>
{self.action_space.example_action(abstract=True)}
</action>
"""
self._concrete_ex = f"""
<action>
{self.action_space.example_action(abstract=False)}
</action>
"""
def _parse_answer(self, text_answer):
ans_dict = parse_html_tags_raise(
text_answer, keys=['action'], merge_multiple=True
)
try:
# just check if action can be mapped to python code but keep action as is
# the environment will be responsible for mapping it to python
self.action_space.to_python_code(ans_dict['action'])
except Exception as e:
raise ParseError(
f'Error while parsing action\n: {e}\n'
'Make sure your answer is restricted to the allowed actions.'
)
return ans_dict
def _get_action_space(flags: Flags) -> AbstractActionSet:
match flags.action_space:
case 'python':
action_space = PythonActionSet(strict=flags.is_strict)
if flags.multi_actions:
warn(
f'Flag action_space={repr(flags.action_space)} incompatible with multi_actions={repr(flags.multi_actions)}.',
stacklevel=2,
)
if flags.demo_mode != 'off':
warn(
f'Flag action_space={repr(flags.action_space)} incompatible with demo_mode={repr(flags.demo_mode)}.',
stacklevel=2,
)
return action_space
case 'bid':
action_subsets = ['chat', 'bid']
case 'coord':
action_subsets = ['chat', 'coord']
case 'bid+coord':
action_subsets = ['chat', 'bid', 'coord']
case 'bid+nav':
action_subsets = ['chat', 'bid', 'nav']
case 'coord+nav':
action_subsets = ['chat', 'coord', 'nav']
case 'bid+coord+nav':
action_subsets = ['chat', 'bid', 'coord', 'nav']
case _:
raise NotImplementedError(
f'Unknown action_space {repr(flags.action_space)}'
)
action_space = HighLevelActionSet(
subsets=action_subsets,
multiaction=flags.multi_actions,
strict=flags.is_strict,
demo_mode=flags.demo_mode,
)
return action_space
class Memory(PromptElement):
_prompt = '' # provided in the abstract and concrete examples
_abstract_ex = """
<memory>
Write down anything you need to remember for next steps. You will be presented
with the list of previous memories and past actions.
</memory>
"""
_concrete_ex = """
<memory>
I clicked on bid 32 to activate tab 2. The accessibility tree should mention
focusable for elements of the form at next step.
</memory>
"""
def _parse_answer(self, text_answer):
return parse_html_tags_raise(
text_answer, optional_keys=['memory'], merge_multiple=True
)
class Think(PromptElement):
_prompt = ''
_abstract_ex = """
<think>
Think step by step. If you need to make calculations such as coordinates, write them here. Describe the effect
that your previous action had on the current content of the page.
</think>
"""
_concrete_ex = """
<think>
My memory says that I filled the first name and last name, but I can't see any
content in the form. I need to explore different ways to fill the form. Perhaps
the form is not visible yet or some fields are disabled. I need to replan.
</think>
"""
def _parse_answer(self, text_answer):
return parse_html_tags_raise(
text_answer, optional_keys=['think'], merge_multiple=True
)
def diff(previous, new):
"""Return a string showing the difference between original and new.
If the difference is above diff_threshold, return the diff string.
"""
if previous == new:
return 'Identical', []
if len(previous) == 0 or previous is None:
return 'previous is empty', []
diff_gen = difflib.ndiff(previous.splitlines(), new.splitlines())
diff_lines = []
plus_count = 0
minus_count = 0
for line in diff_gen:
if line.strip().startswith('+'):
diff_lines.append(line)
plus_count += 1
elif line.strip().startswith('-'):
diff_lines.append(line)
minus_count += 1
else:
continue
header = f'{plus_count} lines added and {minus_count} lines removed:'
return header, diff_lines
class Diff(Shrinkable):
def __init__(
self, previous, new, prefix='', max_line_diff=20, shrink_speed=2, visible=True
) -> None:
super().__init__(visible=visible)
self.max_line_diff = max_line_diff
self.header, self.diff_lines = diff(previous, new)
self.shrink_speed = shrink_speed
self.prefix = prefix
def shrink(self):
self.max_line_diff -= self.shrink_speed
self.max_line_diff = max(1, self.max_line_diff)
@property
def _prompt(self) -> str: # type: ignore
diff_str = '\n'.join(self.diff_lines[: self.max_line_diff])
if len(self.diff_lines) > self.max_line_diff:
original_count = len(self.diff_lines)
diff_str = f'{diff_str}\nDiff truncated, {original_count - self.max_line_diff} changes now shown.'
return f'{self.prefix}{self.header}\n{diff_str}\n'
class HistoryStep(Shrinkable):
def __init__(
self, previous_obs, current_obs, action, memory, flags: Flags, shrink_speed=1
) -> None:
super().__init__()
self.html_diff = Diff(
previous_obs[flags.html_type],
current_obs[flags.html_type],
prefix='\n### HTML diff:\n',
shrink_speed=shrink_speed,
visible=lambda: flags.use_html and flags.use_diff,
)
self.ax_tree_diff = Diff(
previous_obs['axtree_txt'],
current_obs['axtree_txt'],
prefix='\n### Accessibility tree diff:\n',
shrink_speed=shrink_speed,
visible=lambda: flags.use_ax_tree and flags.use_diff,
)
self.error = Error(
current_obs['last_action_error'],
visible=(
flags.use_error_logs
and current_obs['last_action_error']
and flags.use_past_error_logs
),
prefix='### ',
)
self.shrink_speed = shrink_speed
self.action = action
self.memory = memory
self.flags = flags
def shrink(self):
super().shrink()
self.html_diff.shrink()
self.ax_tree_diff.shrink()
@property
def _prompt(self) -> str: # type: ignore
prompt = ''
if self.flags.use_action_history:
prompt += f'\n### Action:\n{self.action}\n'
prompt += (
f'{self.error.prompt}{self.html_diff.prompt}{self.ax_tree_diff.prompt}'
)
if self.flags.use_memory and self.memory is not None:
prompt += f'\n### Memory:\n{self.memory}\n'
return prompt
class History(Shrinkable):
def __init__(
self, history_obs, actions, memories, thoughts, flags: Flags, shrink_speed=1
) -> None:
super().__init__(visible=flags.use_history)
assert len(history_obs) == len(actions) + 1
assert len(history_obs) == len(memories) + 1
self.shrink_speed = shrink_speed
self.history_steps: list[HistoryStep] = []
for i in range(1, len(history_obs)):
self.history_steps.append(
HistoryStep(
history_obs[i - 1],
history_obs[i],
actions[i - 1],
memories[i - 1],
flags,
)
)
def shrink(self):
"""Shrink individual steps"""
# TODO set the shrink speed of older steps to be higher
super().shrink()
for step in self.history_steps:
step.shrink()
@property
def _prompt(self):
prompts = ['# History of interaction with the task:\n']
for i, step in enumerate(self.history_steps):
prompts.append(f'## step {i}')
prompts.append(step.prompt)
return '\n'.join(prompts) + '\n'
if __name__ == '__main__':
html_template = """
<html>
<body>
<div>
Hello World.
Step {}.
</div>
</body>
</html>
"""
OBS_HISTORY = [
{
'goal': 'do this and that',
'pruned_html': html_template.format(1),
'axtree_txt': '[1] Click me',
'last_action_error': '',
},
{
'goal': 'do this and that',
'pruned_html': html_template.format(2),
'axtree_txt': '[1] Click me',
'last_action_error': '',
},
{
'goal': 'do this and that',
'pruned_html': html_template.format(3),
'axtree_txt': '[1] Click me',
'last_action_error': 'Hey, there is an error now',
},
]
ACTIONS = ["click('41')", "click('42')"]
MEMORIES = ['memory A', 'memory B']
THOUGHTS = ['thought A', 'thought B']
flags = Flags(
use_html=True,
use_ax_tree=True,
use_thinking=True,
use_error_logs=True,
use_past_error_logs=True,
use_history=True,
use_action_history=True,
use_memory=True,
use_diff=True,
html_type='pruned_html',
use_concrete_example=True,
use_abstract_example=True,
use_screenshot=False,
multi_actions=True,
)
print(
MainPrompt(
obs_history=OBS_HISTORY,
actions=ACTIONS,
memories=MEMORIES,
thoughts=THOUGHTS,
flags=flags,
).prompt
)
@@ -166,9 +166,6 @@ class CodeActAgent(Agent):
# Add the LLM message (assistant) that initiated the tool calls
# (overwrites any previous message with the same response_id)
logger.debug(
f'Tool calls type: {type(assistant_msg.tool_calls)}, value: {assistant_msg.tool_calls}'
)
pending_tool_call_action_messages[llm_response.id] = Message(
role=assistant_msg.role,
# tool call content SHOULD BE a string
@@ -0,0 +1,7 @@
# CodeAct (SWE Edit Specialized)
This agent is an adaptation of the original [SWE Agent](https://swe-agent.com/) based on CodeAct using the `agentskills` library of OpenHands.
Its intended use is **solving GitHub issues**.
It removes web-browsing and GitHub capability from the original CodeAct agent to avoid confusion to the agent.
@@ -0,0 +1,4 @@
from openhands.agenthub.codeact_swe_agent.codeact_swe_agent import CodeActSWEAgent
from openhands.controller.agent import Agent
Agent.register('CodeActSWEAgent', CodeActSWEAgent)
@@ -0,0 +1,110 @@
import re
from openhands.controller.action_parser import ActionParser
from openhands.events.action import (
Action,
AgentFinishAction,
CmdRunAction,
IPythonRunCellAction,
MessageAction,
)
class CodeActSWEActionParserFinish(ActionParser):
"""Parser action:
- AgentFinishAction() - end the interaction
"""
def __init__(
self,
):
self.finish_command = None
def check_condition(self, action_str: str) -> bool:
self.finish_command = re.search(r'<finish>.*</finish>', action_str, re.DOTALL)
return self.finish_command is not None
def parse(self, action_str: str) -> Action:
assert (
self.finish_command is not None
), 'self.finish_command should not be None when parse is called'
thought = action_str.replace(self.finish_command.group(0), '').strip()
return AgentFinishAction(thought=thought)
class CodeActSWEActionParserCmdRun(ActionParser):
"""Parser action:
- CmdRunAction(command) - bash command to run
- AgentFinishAction() - end the interaction
"""
def __init__(
self,
):
self.bash_command = None
def check_condition(self, action_str: str) -> bool:
self.bash_command = re.search(
r'<execute_bash>(.*?)</execute_bash>', action_str, re.DOTALL
)
return self.bash_command is not None
def parse(self, action_str: str) -> Action:
assert (
self.bash_command is not None
), 'self.bash_command should not be None when parse is called'
thought = action_str.replace(self.bash_command.group(0), '').strip()
# a command was found
command_group = self.bash_command.group(1).strip()
if command_group.strip() == 'exit':
return AgentFinishAction()
return CmdRunAction(command=command_group, thought=thought)
class CodeActSWEActionParserIPythonRunCell(ActionParser):
"""Parser action:
- IPythonRunCellAction(code) - IPython code to run
"""
def __init__(
self,
):
self.python_code = None
self.jupyter_kernel_init_code: str = 'from agentskills import *'
def check_condition(self, action_str: str) -> bool:
self.python_code = re.search(
r'<execute_ipython>(.*?)</execute_ipython>', action_str, re.DOTALL
)
return self.python_code is not None
def parse(self, action_str: str) -> Action:
assert (
self.python_code is not None
), 'self.python_code should not be None when parse is called'
code_group = self.python_code.group(1).strip()
thought = action_str.replace(self.python_code.group(0), '').strip()
return IPythonRunCellAction(
code=code_group,
thought=thought,
kernel_init_code=self.jupyter_kernel_init_code,
)
class CodeActSWEActionParserMessage(ActionParser):
"""Parser action:
- MessageAction(content) - Message action to run (e.g. ask for clarification)
"""
def __init__(
self,
):
pass
def check_condition(self, action_str: str) -> bool:
# We assume the LLM is GOOD enough that when it returns pure natural language
# it wants to talk to the user
return True
def parse(self, action_str: str) -> Action:
return MessageAction(content=action_str, wait_for_response=True)
@@ -0,0 +1,224 @@
from openhands.agenthub.codeact_swe_agent.prompt import (
COMMAND_DOCS,
SWE_EXAMPLE,
SYSTEM_PREFIX,
SYSTEM_SUFFIX,
)
from openhands.agenthub.codeact_swe_agent.response_parser import (
CodeActSWEResponseParser,
)
from openhands.controller.agent import Agent
from openhands.controller.state.state import State
from openhands.core.config import AgentConfig
from openhands.core.message import ImageContent, Message, TextContent
from openhands.events.action import (
Action,
AgentFinishAction,
CmdRunAction,
IPythonRunCellAction,
MessageAction,
)
from openhands.events.observation import (
CmdOutputObservation,
IPythonRunCellObservation,
)
from openhands.events.observation.error import ErrorObservation
from openhands.events.observation.observation import Observation
from openhands.events.serialization.event import truncate_content
from openhands.llm.llm import LLM
from openhands.runtime.plugins import (
AgentSkillsRequirement,
JupyterRequirement,
PluginRequirement,
)
def get_system_message() -> str:
return f'{SYSTEM_PREFIX}\n\n{COMMAND_DOCS}\n\n{SYSTEM_SUFFIX}'
def get_in_context_example() -> str:
return SWE_EXAMPLE
class CodeActSWEAgent(Agent):
VERSION = '1.6'
"""
This agent is an adaptation of the original [SWE Agent](https://swe-agent.com/) based on CodeAct 1.5 using the `agentskills` library of OpenHands.
It is intended use is **solving Github issues**.
It removes web-browsing and Github capability from the original CodeAct agent to avoid confusion to the agent.
"""
sandbox_plugins: list[PluginRequirement] = [
# NOTE: AgentSkillsRequirement need to go before JupyterRequirement, since
# AgentSkillsRequirement provides a lot of Python functions,
# and it needs to be initialized before Jupyter for Jupyter to use those functions.
AgentSkillsRequirement(),
JupyterRequirement(),
]
system_message: str = get_system_message()
in_context_example: str = f"Here is an example of how you can interact with the environment for task solving:\n{get_in_context_example()}\n\nNOW, LET'S START!"
response_parser = CodeActSWEResponseParser()
def __init__(
self,
llm: LLM,
config: AgentConfig,
) -> None:
"""Initializes a new instance of the CodeActSWEAgent class.
Parameters:
- llm (LLM): The llm to be used by this agent
"""
super().__init__(llm, config)
self.reset()
def action_to_str(self, action: Action) -> str:
if isinstance(action, CmdRunAction):
return (
f'{action.thought}\n<execute_bash>\n{action.command}\n</execute_bash>'
)
elif isinstance(action, IPythonRunCellAction):
return f'{action.thought}\n<execute_ipython>\n{action.code}\n</execute_ipython>'
elif isinstance(action, MessageAction):
return action.content
return ''
def get_action_message(self, action: Action) -> Message | None:
if isinstance(action, (CmdRunAction, IPythonRunCellAction, MessageAction)):
content = [TextContent(text=self.action_to_str(action))]
if (
self.llm.vision_is_active()
and isinstance(action, MessageAction)
and action.image_urls
):
content.append(ImageContent(image_urls=action.image_urls))
return Message(
role='user' if action.source == 'user' else 'assistant', content=content
)
return None
def get_observation_message(self, obs: Observation) -> Message | None:
max_message_chars = self.llm.config.max_message_chars
if isinstance(obs, CmdOutputObservation):
text = 'OBSERVATION:\n' + truncate_content(
obs.content + obs.interpreter_details, max_message_chars
)
text += (
f'\n[Command {obs.command_id} finished with exit code {obs.exit_code}]'
)
return Message(role='user', content=[TextContent(text=text)])
elif isinstance(obs, IPythonRunCellObservation):
text = 'OBSERVATION:\n' + obs.content
# replace base64 images with a placeholder
splitted = text.split('\n')
for i, line in enumerate(splitted):
if '![image](data:image/png;base64,' in line:
splitted[i] = (
'![image](data:image/png;base64, ...) already displayed to user'
)
text = '\n'.join(splitted)
text = truncate_content(text, max_message_chars)
return Message(role='user', content=[TextContent(text=text)])
elif isinstance(obs, ErrorObservation):
text = 'OBSERVATION:\n' + truncate_content(obs.content, max_message_chars)
text += '\n[Error occurred in processing last action]'
return Message(role='user', content=[TextContent(text=text)])
else:
# If an observation message is not returned, it will cause an error
# when the LLM tries to return the next message
raise ValueError(f'Unknown observation type: {type(obs)}')
def reset(self) -> None:
"""Resets the CodeAct Agent."""
super().reset()
def step(self, state: State) -> Action:
"""Performs one step using the CodeAct Agent.
This includes gathering info on previous steps and prompting the model to make a command to execute.
Parameters:
- state (State): used to get updated info and background commands
Returns:
- CmdRunAction(command) - bash command to run
- IPythonRunCellAction(code) - IPython code to run
- MessageAction(content) - Message action to run (e.g. ask for clarification)
- AgentFinishAction() - end the interaction
"""
# if we're done, go back
last_user_message = state.get_last_user_message()
if last_user_message and last_user_message.content.strip() == '/exit':
return AgentFinishAction()
# prepare what we want to send to the LLM
messages: list[Message] = self._get_messages(state)
response = self.llm.completion(
messages=self.llm.format_messages_for_llm(messages),
stop=[
'</execute_ipython>',
'</execute_bash>',
],
)
return self.response_parser.parse(response)
def _get_messages(self, state: State) -> list[Message]:
messages: list[Message] = [
Message(role='system', content=[TextContent(text=self.system_message)]),
Message(role='user', content=[TextContent(text=self.in_context_example)]),
]
for event in state.history:
# create a regular message from an event
if isinstance(event, Action):
message = self.get_action_message(event)
elif isinstance(event, Observation):
message = self.get_observation_message(event)
else:
raise ValueError(f'Unknown event type: {type(event)}')
# add regular message
if message:
# handle error if the message is the SAME role as the previous message
# litellm.exceptions.BadRequestError: litellm.BadRequestError: OpenAIException - Error code: 400 - {'detail': 'Only supports u/a/u/a/u...'}
# there should not have two consecutive messages from the same role
if messages and messages[-1].role == message.role:
messages[-1].content.extend(message.content)
else:
messages.append(message)
# the latest user message is important:
# we want to remind the agent of the environment constraints
latest_user_message = next(
(m for m in reversed(messages) if m.role == 'user'), None
)
# Get the last user text inside content
if latest_user_message:
latest_user_message_text = next(
(
t
for t in reversed(latest_user_message.content)
if isinstance(t, TextContent)
)
)
# add a reminder to the prompt
reminder_text = f'\n\nENVIRONMENT REMINDER: You have {state.max_iterations - state.iteration} turns left to complete the task. When finished reply with <finish></finish>.'
if latest_user_message_text:
latest_user_message_text.text = (
latest_user_message_text.text + reminder_text
)
else:
latest_user_message_text = TextContent(text=reminder_text)
latest_user_message.content.append(latest_user_message_text)
return messages
@@ -0,0 +1,455 @@
from openhands.runtime.plugins import AgentSkillsRequirement
_AGENT_SKILLS_DOCS = AgentSkillsRequirement.documentation
COMMAND_DOCS = (
'\nApart from the standard Python library, the assistant can also use the following functions (already imported) in <execute_ipython> environment:\n'
f'{_AGENT_SKILLS_DOCS}'
"Please note that THE `edit_file` FUNCTION REQUIRES PROPER INDENTATION. If the assistant would like to add the line ' print(x)', it must fully write that out, with all those spaces before the code! Indentation is important and code that is not indented correctly will fail and require fixing before it can be run."
)
# ======= SYSTEM MESSAGE =======
MINIMAL_SYSTEM_PREFIX = """A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
The assistant can interact with an interactive Python (Jupyter Notebook) environment and receive the corresponding output when needed. The code should be enclosed using "<execute_ipython>" tag, for example:
<execute_ipython>
print("Hello World!")
</execute_ipython>
The assistant can execute bash commands on behalf of the user by wrapping them with <execute_bash> and </execute_bash>.
For example, you can list the files in the current directory by <execute_bash> ls </execute_bash>.
"""
PIP_INSTALL_PREFIX = """The assistant can install Python packages using the %pip magic command in an IPython environment by using the following syntax: <execute_ipython> %pip install [package needed] </execute_ipython> and should always import packages and define variables before starting to use them."""
SYSTEM_PREFIX = MINIMAL_SYSTEM_PREFIX + PIP_INSTALL_PREFIX
SYSTEM_SUFFIX = """The assistant's response should be concise.
The assistant should include ONLY ONE <execute_ipython> or <execute_bash> in every one of the responses, unless the assistant is finished with the task or need more input or action from the user in order to proceed.
IMPORTANT: Whenever possible, execute the code for the user using <execute_ipython> or <execute_bash> instead of providing it.
"""
SWE_EXAMPLE = """
--- START OF EXAMPLE ---
USER: We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
TimeDelta serialization precision
Hi there!
I just found quite strange behaviour of `TimeDelta` field serialization
```python3
from marshmallow.fields import TimeDelta
from datetime import timedelta
td_field = TimeDelta(precision="milliseconds")
obj = dict()
obj["td_field"] = timedelta(milliseconds=345)
print(td_field.serialize("td_field", obj))
```
Output of this snippet is `344`, but it seems that `345` is correct.
Looks like a rounding issue here: https://github.com/marshmallow-code/marshmallow/blob/dev/src/marshmallow/fields.py#L1474
--- END ISSUE ---
[Current directory: /workspace/marshmallow-code__marshmallow]
ASSISTANT:
Let's first start by reproducing the results of the issue. The issue includes some example code for reproduction, which we can use. We'll create a new file called `reproduce.py` and paste the example code into it.
<execute_ipython>
create_file('/workspace/marshmallow-code__marshmallow/reproduce.py')
</execute_ipython>
USER:
OBSERVATION:
[File: /workspace/marshmallow-code__marshmallow/reproduce.py (1 lines total)]
1|
[File /workspace/marshmallow-code__marshmallow/reproduce.py created.]
ASSISTANT:
Now let's paste in the example code from the issue.
<execute_ipython>
EDITED_CODE = \"\"\"from marshmallow.fields import TimeDelta
from datetime import timedelta
td_field = TimeDelta(precision="milliseconds")
obj = dict()
obj["td_field"] = timedelta(milliseconds=345)
print(td_field.serialize("td_field", obj))
\"\"\"
edit_file(start=1, end=1, content=EDITED_CODE)
</execute_ipython>
USER:
OBSERVATION:
[File: /workspace/marshmallow-code__marshmallow/reproduce.py (9 lines total)]
1|from marshmallow.fields import TimeDelta
2|from datetime import timedelta
3|
4|td_field = TimeDelta(precision="milliseconds")
5|
6|obj = dict()
7|obj["td_field"] = timedelta(milliseconds=345)
8|
9|print(td_field.serialize("td_field", obj))
[File updated. Please review the changes and make sure they are correct (correct indentation, no duplicate lines, etc). Edit the file again if necessary.]
ASSISTANT:
Now let's run the code to see if we see the same output as the issue.
<execute_bash>
python reproduce.py
</execute_bash>
USER:
OBSERVATION:
344
ASSISTANT:
We are indeed seeing the same output as the issue. The issue suggests that we should look at line 1474 of the `fields.py` file to see if there is a rounding issue. Let's open the `fields.py` file and navigate to line 1474 to see the relevant code. First we should find the `fields.py` file in the repository. It is likely to be in the `src/marshmallow` directory, but we should check to be sure.
<execute_bash>
ls -F
</execute_bash>
USER:
OBSERVATION:
AUTHORS.rst
CHANGELOG.rst
CODE_OF_CONDUCT.md
CONTRIBUTING.rst
LICENSE
MANIFEST.in
NOTICE
README.rst
RELEASING.md
azure-pipelines.yml
docs/
examples/
performance/
pyproject.toml
reproduce.py
setup.cfg
setup.py
src/
tests/
tox.ini
ASSISTANT:
It looks like the `src` directory is present, which suggests that the `fields.py` file is likely to be in the `src` directory. Let's use find_file to see where it is.
<execute_ipython>
find_file("fields.py", "/workspace/marshmallow-code__marshmallow/src")
</execute_ipython>
USER:
OBSERVATION:
[Found 1 matches for "fields.py" in /workspace/marshmallow-code__marshmallow/src]
/workspace/marshmallow-code__marshmallow/src/marshmallow/fields.py
ASSISTANT:
It looks like the `fields.py` file is present in the `./src/marshmallow/` directory. The issue also points to a specific URL with line number 1474. We should navigate to that line in fields.py to see the relevant code for the `TimeDelta` serialization.
<execute_ipython>
open_file("/workspace/marshmallow-code__marshmallow/src/marshmallow/fields.py", 1474)
</execute_ipython>
USER:
OBSERVATION:
[File: /workspace/marshmallow-code__marshmallow/src/marshmallow/fields.py (1997 lines total)]
(1458 more lines above)
1459| self.WEEKS,
1460| )
1461|
1462| if precision not in units:
1463| msg = 'The precision must be {} or "{}".'.format(
1464| ", ".join([f'"{each}"' for each in units[:-1]]), units[-1]
1465| )
1466| raise ValueError(msg)
1467|
1468| self.precision = precision
1469| super().__init__(**kwargs)
1470|
1471| def _serialize(self, value, attr, obj, **kwargs):
1472| if value is None:
1473| return None
1474| base_unit = dt.timedelta(**{self.precision: 1})
1475| return int(value.total_seconds() / base_unit.total_seconds())
1476|
1477| def _deserialize(self, value, attr, data, **kwargs):
1478| try:
1479| value = int(value)
1480| except (TypeError, ValueError) as error:
1481| raise self.make_error("invalid") from error
1482|
1483| kwargs = {self.precision: value}
1484|
1485| try:
1486| return dt.timedelta(**kwargs)
1487| except OverflowError as error:
1488| raise self.make_error("invalid") from error
1489|
1490|
1491|class Mapping(Field):
1492| \"\"\"An abstract class for objects with key-value pairs.
1493|
1494| :param keys: A field class or instance for dict keys.
1495| :param values: A field class or instance for dict values.
1496| :param kwargs: The same keyword arguments that :class:`Field` receives.
1497|
1498| .. note::
1499| When the structure of nested data is not known, you may omit the
1500| `keys` and `values` arguments to prevent content validation.
1501|
1502| .. versionadded:: 3.0.0rc4
1503| \"\"\"
1504|
1505| mapping_type = dict
1506|
1507| #: Default error messages.
1508| default_error_messages = {"invalid": "Not a valid mapping type."}
1509|
1510| def __init__(
1511| self,
1512| keys: typing.Optional[typing.Union[Field, type]] = None,
1513| values: typing.Optional[typing.Union[Field, type]] = None,
1514| **kwargs,
1515| ):
1516| super().__init__(**kwargs)
1517| if keys is None:
1518| self.key_field = None
1519| else:
1520| try:
1521| self.key_field = resolve_field_instance(keys)
1522| except FieldInstanceResolutionError as error:
1523| raise ValueError(
1524| '"keys" must be a subclass or instance of '
1525| "marshmallow.base.FieldABC."
1526| ) from error
1527|
1528| if values is None:
1529| self.value_field = None
1530| else:
1531| try:
1532| self.value_field = resolve_field_instance(values)
1533| except FieldInstanceResolutionError as error:
1534| raise ValueError(
1535| '"values" must be a subclass or instance of '
1536| "marshmallow.base.FieldABC."
1537| ) from error
1538| if isinstance(self.value_field, Nested):
1539| self.only = self.value_field.only
1540| self.exclude = self.value_field.exclude
1541|
1542| def _bind_to_schema(self, field_name, schema):
1543| super()._bind_to_schema(field_name, schema)
1544| if self.value_field:
1545| self.value_field = copy.deepcopy(self.value_field)
1546| self.value_field._bind_to_schema(field_name, self)
1547| if isinstance(self.value_field, Nested):
1548| self.value_field.only = self.only
1549| self.value_field.exclude = self.exclude
1550| if self.key_field:
1551| self.key_field = copy.deepcopy(self.key_field)
1552| self.key_field._bind_to_schema(field_name, self)
1553|
1554| def _serialize(self, value, attr, obj, **kwargs):
1555| if value is None:
1556| return None
1557| if not self.value_field and not self.key_field:
1558| return self.mapping_type(value)
(439 more lines below)
ASSISTANT:
We are now looking at the relevant section of the `fields.py` file where the `TimeDelta` serialization occurs. The issue suggests that there is a rounding problem near line 1474. The current implementation uses integer division, which truncates the decimal part and can lead to incorrect rounding on line 1475. To fix this issue, we should ensure that the division results in a float, and then round the result to the nearest integer before converting it to an int. This should preserve the milliseconds precision as expected. Let's make the necessary edit to the code.
<execute_ipython>
edit_file(start=1475, end=1475, content="return int(round(value.total_seconds() / base_unit.total_seconds())) # round to nearest int")
</execute_ipython>
USER:
OBSERVATION:
[Your proposed edit has introduced new syntax error(s). Please understand the errors and retry your edit command.]
ERRORS:
- E999 IndentationError: unexpected indent
[This is how your edit would have looked if applied]
-------------------------------------------------
[File: /marshmallow-code__marshmallow/src/marshmallow/fields.py (1997 lines total)]
(1468 more lines above)
1469| super().__init__(**kwargs)
1470|
1471| def _serialize(self, value, attr, obj, **kwargs):
1472| if value is None:
1473| return None
1474| base_unit = dt.timedelta(**{self.precision: 1})
1475|return int(round(value.total_seconds() / base_unit.total_seconds())) # round to nearest int
1476|
1477| def _deserialize(self, value, attr, data, **kwargs):
1478| try:
1479| value = int(value)
(518 more lines below)
-------------------------------------------------
[This is the original code before your edit]
-------------------------------------------------
[File: /marshmallow-code__marshmallow/src/marshmallow/fields.py (1997 lines total)]
(1469 more lines above)
1470|
1471| def _serialize(self, value, attr, obj, **kwargs):
1472| if value is None:
1473| return None
1474| base_unit = dt.timedelta(**{self.precision: 1})
1475| return int(value.total_seconds() / base_unit.total_seconds())
1476|
1477| def _deserialize(self, value, attr, data, **kwargs):
1478| try:
1479| value = int(value)
1480| except (TypeError, ValueError) as error:
(517 more lines below)
-------------------------------------------------
Your changes have NOT been applied. Please fix your edit command and try again.
You either need to 1) Specify the correct start/end line arguments or 2) Correct your edit code.
DO NOT re-run the same failed edit command. Running it again will lead to the same error.
ASSISTANT:
My edit command did not use the proper indentation, I will fix my syntax in this follow up edit command.
<execute_ipython>
EDITED_CODE=" return int(round(value.total_seconds() / base_unit.total_seconds())) # round to nearest int"
edit_file(start=1475, end=1475, content=EDITED_CODE)
</execute_ipython>
USER:
OBSERVATION:
[File: /marshmallow-code__marshmallow/src/marshmallow/fields.py (1997 lines total)]
(1424 more lines above)
1425|
1426| :param precision: Influences how the integer is interpreted during
1427| (de)serialization. Must be 'days', 'seconds', 'microseconds',
1428| 'milliseconds', 'minutes', 'hours' or 'weeks'.
1429| :param kwargs: The same keyword arguments that :class:`Field` receives.
1430|
1431| .. versionchanged:: 2.0.0
1432| Always serializes to an integer value to avoid rounding errors.
1433| Add `precision` parameter.
1434| \"\"\"
1435|
1436| DAYS = "days"
1437| SECONDS = "seconds"
1438| MICROSECONDS = "microseconds"
1439| MILLISECONDS = "milliseconds"
1440| MINUTES = "minutes"
1441| HOURS = "hours"
1442| WEEKS = "weeks"
1443|
1444| #: Default error messages.
1445| default_error_messages = {
1446| "invalid": "Not a valid period of time.",
1447| "format": "{input!r} cannot be formatted as a timedelta.",
1448| }
1449|
1450| def __init__(self, precision: str = SECONDS, **kwargs):
1451| precision = precision.lower()
1452| units = (
1453| self.DAYS,
1454| self.SECONDS,
1455| self.MICROSECONDS,
1456| self.MILLISECONDS,
1457| self.MINUTES,
1458| self.HOURS,
1459| self.WEEKS,
1460| )
1461|
1462| if precision not in units:
1463| msg = 'The precision must be {} or "{}".'.format(
1464| ", ".join([f'"{each}"' for each in units[:-1]]), units[-1]
1465| )
1466| raise ValueError(msg)
1467|
1468| self.precision = precision
1469| super().__init__(**kwargs)
1470|
1471| def _serialize(self, value, attr, obj, **kwargs):
1472| if value is None:
1473| return None
1474| base_unit = dt.timedelta(**{self.precision: 1})
1475| return int(round(value.total_seconds() / base_unit.total_seconds())) # round to nearest int
1476|
1477| def _deserialize(self, value, attr, data, **kwargs):
1478| try:
1479| value = int(value)
1480| except (TypeError, ValueError) as error:
1481| raise self.make_error("invalid") from error
1482|
1483| kwargs = {self.precision: value}
1484|
1485| try:
1486| return dt.timedelta(**kwargs)
1487| except OverflowError as error:
1488| raise self.make_error("invalid") from error
1489|
1490|
1491|class Mapping(Field):
1492| \"\"\"An abstract class for objects with key-value pairs.
1493|
1494| :param keys: A field class or instance for dict keys.
1495| :param values: A field class or instance for dict values.
1496| :param kwargs: The same keyword arguments that :class:`Field` receives.
1497|
1498| .. note::
1499| When the structure of nested data is not known, you may omit the
1500| `keys` and `values` arguments to prevent content validation.
1501|
1502| .. versionadded:: 3.0.0rc4
1503| \"\"\"
1504|
1505| mapping_type = dict
1506|
1507| #: Default error messages.
1508| default_error_messages = {"invalid": "Not a valid mapping type."}
1509|
1510| def __init__(
1511| self,
1512| keys: typing.Optional[typing.Union[Field, type]] = None,
1513| values: typing.Optional[typing.Union[Field, type]] = None,
1514| **kwargs,
1515| ):
1516| super().__init__(**kwargs)
1517| if keys is None:
1518| self.key_field = None
1519| else:
1520| try:
1521| self.key_field = resolve_field_instance(keys)
1522| except FieldInstanceResolutionError as error:
1523| raise ValueError(
1524| '"keys" must be a subclass or instance of '
(473 more lines below)
[File updated. Please review the changes and make sure they are correct (correct indentation, no duplicate lines, etc). Edit the file again if necessary.]
ASSISTANT:
The code has been updated to use the `round` function, which should fix the rounding issue. Before submitting the changes, it would be prudent to run the reproduce.py code again to ensure that this change has the desired effect. I see that "Current directory" is still `/marshmallow-code__marshmallow`, so we can just run `reproduce.py` directly.
<execute_bash>
python reproduce.py
</execute_bash>
USER:
OBSERVATION:
345
ASSISTANT:
The output has changed from 344 to 345, which suggests that the rounding issue has been fixed. Let's remove the reproduce.py file since it is no longer needed.
<execute_bash>
rm reproduce.py
</execute_bash>
USER:
OBSERVATION:
ASSISTANT:
rm doesn't have any output when it deletes successfully, so that must have worked. Now that we have fixed the issue, we can exit the current task.
<execute_bash>
exit
</execute_bash>
--- END OF EXAMPLE ---
"""
@@ -0,0 +1,46 @@
from openhands.agenthub.codeact_swe_agent.action_parser import (
CodeActSWEActionParserCmdRun,
CodeActSWEActionParserFinish,
CodeActSWEActionParserIPythonRunCell,
CodeActSWEActionParserMessage,
)
from openhands.controller.action_parser import ResponseParser
from openhands.events.action import Action
class CodeActSWEResponseParser(ResponseParser):
"""Parser action:
- CmdRunAction(command) - bash command to run
- IPythonRunCellAction(code) - IPython code to run
- MessageAction(content) - Message action to run (e.g. ask for clarification)
- AgentFinishAction() - end the interaction
"""
def __init__(self):
# Need pay attention to the item order in self.action_parsers
super().__init__()
self.action_parsers = [
CodeActSWEActionParserFinish(),
CodeActSWEActionParserCmdRun(),
CodeActSWEActionParserIPythonRunCell(),
]
self.default_parser = CodeActSWEActionParserMessage()
def parse(self, response: str) -> Action:
action_str = self.parse_response(response)
return self.parse_action(action_str)
def parse_response(self, response) -> str:
action = response.choices[0].message.content
if action is None:
return ''
for lang in ['bash', 'ipython']:
if f'<execute_{lang}>' in action and f'</execute_{lang}>' not in action:
action += f'</execute_{lang}>'
return action
def parse_action(self, action_str: str) -> Action:
for action_parser in self.action_parsers:
if action_parser.check_condition(action_str):
return action_parser.parse(action_str)
return self.default_parser.parse(action_str)
+4 -28
View File
@@ -312,20 +312,6 @@ class AgentController:
str(action),
extra={'msg_type': 'ACTION', 'event_source': EventSource.USER},
)
# Extend max iterations when the user sends a message (only in non-headless mode)
if self._initial_max_iterations is not None and not self.headless_mode:
self.state.max_iterations = (
self.state.iteration + self._initial_max_iterations
)
if (
self.state.traffic_control_state == TrafficControlState.THROTTLING
or self.state.traffic_control_state == TrafficControlState.PAUSED
):
self.state.traffic_control_state = TrafficControlState.NORMAL
self.log(
'debug',
f'Extended max iterations to {self.state.max_iterations} after user message',
)
if self.get_agent_state() != AgentState.RUNNING:
await self.set_agent_state_to(AgentState.RUNNING)
elif action.source == EventSource.AGENT and action.wait_for_response:
@@ -333,7 +319,7 @@ class AgentController:
def _reset(self) -> None:
"""Resets the agent controller"""
self.almost_stuck = 0
self._pending_action = None
self.agent.reset()
@@ -356,7 +342,6 @@ class AgentController:
elif (
new_state == AgentState.RUNNING
and self.state.agent_state == AgentState.PAUSED
# TODO: do we really need both THROTTLING and PAUSED states, or can we clean up one of them completely?
and self.state.traffic_control_state == TrafficControlState.THROTTLING
):
# user intends to interrupt traffic control and let the task resume temporarily
@@ -366,7 +351,6 @@ class AgentController:
self.state.iteration is not None
and self.state.max_iterations is not None
and self._initial_max_iterations is not None
and not self.headless_mode
):
if self.state.iteration >= self.state.max_iterations:
self.state.max_iterations += self._initial_max_iterations
@@ -647,24 +631,16 @@ class AgentController:
self.state.traffic_control_state = TrafficControlState.NORMAL
else:
self.state.traffic_control_state = TrafficControlState.THROTTLING
# Format values as integers for iterations, keep decimals for budget
if limit_type == 'iteration':
current_str = str(int(current_value))
max_str = str(int(max_value))
else:
current_str = f'{current_value:.2f}'
max_str = f'{max_value:.2f}'
if self.headless_mode:
e = RuntimeError(
f'Agent reached maximum {limit_type} in headless mode. '
f'Current {limit_type}: {current_str}, max {limit_type}: {max_str}'
f'Current {limit_type}: {current_value:.2f}, max {limit_type}: {max_value:.2f}'
)
await self._react_to_exception(e)
else:
e = RuntimeError(
f'Agent reached maximum {limit_type}. '
f'Current {limit_type}: {current_str}, max {limit_type}: {max_str}. '
f'Current {limit_type}: {current_value:.2f}, max {limit_type}: {max_value:.2f}. '
)
# FIXME: this isn't really an exception--we should have a different path
await self._react_to_exception(e)
@@ -936,7 +912,7 @@ class AgentController:
if self.delegate and self.delegate._is_stuck():
return True
return self._stuck_detector.is_stuck(self.headless_mode)
return self._stuck_detector.is_stuck()
def __repr__(self):
return (
+1 -1
View File
@@ -94,7 +94,7 @@ class State:
end_id: int = -1
# truncation_id tracks where to load history after context window truncation
truncation_id: int = -1
almost_stuck: int = 0
delegates: dict[tuple[int, int], tuple[str, str]] = field(default_factory=dict)
# NOTE: This will never be used by the controller, but it can be used by different
# evaluation tasks to store extra data needed to track the progress/state of the task.
+35 -39
View File
@@ -24,44 +24,16 @@ class StuckDetector:
def __init__(self, state: State):
self.state = state
def is_stuck(self, headless_mode: bool = True):
"""Checks if the agent is stuck in a loop.
Args:
headless_mode: Matches AgentController's headless_mode.
If True: Consider all history (automated/testing)
If False: Consider only history after last user message (interactive)
Returns:
bool: True if the agent is stuck in a loop, False otherwise.
"""
if not headless_mode:
# In interactive mode, only look at history after the last user message
last_user_msg_idx = -1
for i, event in enumerate(reversed(self.state.history)):
if (
isinstance(event, MessageAction)
and event.source == EventSource.USER
):
last_user_msg_idx = len(self.state.history) - i - 1
break
history_to_check = self.state.history[last_user_msg_idx + 1 :]
else:
# In headless mode, look at all history
history_to_check = self.state.history
# Filter out user messages and null events
def is_stuck(self):
# filter out MessageAction with source='user' from history
filtered_history = [
event
for event in history_to_check
for event in self.state.history
if not (
# Filter works elegantly in both modes:
# - In headless: actively filters out user messages from full history
# - In non-headless: no-op since we already sliced after last user message
(isinstance(event, MessageAction) and event.source == EventSource.USER)
or
# there might be some NullAction or NullObservation in the history at least for now
or isinstance(event, (NullAction, NullObservation))
isinstance(event, (NullAction, NullObservation))
)
]
@@ -109,19 +81,43 @@ class StuckDetector:
# it takes 4 actions and 4 observations to detect a loop
# assert len(last_actions) == 4 and len(last_observations) == 4
# Check for a loop of 4 identical action-observation pairs
if len(last_actions) == 4 and len(last_observations) == 4:
# reset almost_stuck reminder
self.state.almost_stuck = 0
# almost stuck? if two actions, obs are the same, we're almost stuck
if len(last_actions) >= 2 and len(last_observations) >= 2:
actions_equal = all(
self._eq_no_pid(last_actions[0], action) for action in last_actions
self._eq_no_pid(last_actions[0], action) for action in last_actions[:2]
)
observations_equal = all(
self._eq_no_pid(last_observations[0], observation)
for observation in last_observations
for observation in last_observations[:2]
)
# the last two actions and obs are the same?
if actions_equal and observations_equal:
logger.warning('Action, Observation loop detected')
return True
self.state.almost_stuck = 2
# the last three actions and observations are the same?
if len(last_actions) >= 3 and len(last_observations) >= 3:
if (
actions_equal
and observations_equal
and self._eq_no_pid(last_actions[0], last_actions[2])
and self._eq_no_pid(last_observations[0], last_observations[2])
):
self.state.almost_stuck = 1
if len(last_actions) == 4 and len(last_observations) == 4:
if (
actions_equal
and observations_equal
and self._eq_no_pid(last_actions[0], last_actions[3])
and self._eq_no_pid(last_observations[0], last_observations[3])
):
logger.warning('Action, Observation loop detected')
self.state.almost_stuck = 0
return True
return False
+5 -1
View File
@@ -1,3 +1,4 @@
import uuid
from dataclasses import dataclass, field, fields, is_dataclass
from typing import ClassVar
@@ -65,7 +66,10 @@ class AppConfig:
modal_api_token_id: str = ''
modal_api_token_secret: str = ''
disable_color: bool = False
jwt_secret: str = ''
jwt_secret: str = uuid.uuid4().hex
attach_session_middleware_class: str = (
'openhands.server.middleware.AttachSessionMiddleware'
)
debug: bool = False
file_uploads_max_file_size_mb: int = 0
file_uploads_restrict_file_types: bool = False
+1 -1
View File
@@ -2,7 +2,7 @@ from types import UnionType
from typing import get_args, get_origin
OH_DEFAULT_AGENT = 'CodeActAgent'
OH_MAX_ITERATIONS = 500
OH_MAX_ITERATIONS = 100
def get_field_info(f):
-2
View File
@@ -43,7 +43,6 @@ class LLMConfig:
log_completions: Whether to log LLM completions to the state.
log_completions_folder: The folder to log LLM completions to. Required if log_completions is True.
draft_editor: A more efficient LLM to use for file editing. Introduced in [PR 3985](https://github.com/All-Hands-AI/OpenHands/pull/3985).
custom_tokenizer: A custom tokenizer to use for token counting.
"""
model: str = 'claude-3-5-sonnet-20241022'
@@ -78,7 +77,6 @@ class LLMConfig:
log_completions: bool = False
log_completions_folder: str = os.path.join(LOG_DIR, 'completions')
draft_editor: Optional['LLMConfig'] = None
custom_tokenizer: str | None = None
def defaults_to_dict(self) -> dict:
"""Serialize fields to a dict for the frontend, including type hints, defaults, and whether it's optional."""
-19
View File
@@ -5,7 +5,6 @@ import platform
from dataclasses import is_dataclass
from types import UnionType
from typing import Any, MutableMapping, get_args, get_origin
from uuid import uuid4
import toml
from dotenv import load_dotenv
@@ -20,10 +19,7 @@ from openhands.core.config.config_utils import (
from openhands.core.config.llm_config import LLMConfig
from openhands.core.config.sandbox_config import SandboxConfig
from openhands.core.config.security_config import SecurityConfig
from openhands.storage import get_file_store
from openhands.storage.files import FileStore
JWT_SECRET = '.jwt_secret'
load_dotenv()
@@ -199,16 +195,6 @@ def load_from_toml(cfg: AppConfig, toml_file: str = 'config.toml'):
)
def get_or_create_jwt_secret(file_store: FileStore) -> str:
try:
jwt_secret = file_store.read(JWT_SECRET)
return jwt_secret
except FileNotFoundError:
new_secret = uuid4().hex
file_store.write(JWT_SECRET, new_secret)
return new_secret
def finalize_config(cfg: AppConfig):
"""More tweaks to the config after it's been loaded."""
if cfg.workspace_base is not None:
@@ -237,11 +223,6 @@ def finalize_config(cfg: AppConfig):
if cfg.cache_dir:
pathlib.Path(cfg.cache_dir).mkdir(parents=True, exist_ok=True)
if not cfg.jwt_secret:
cfg.jwt_secret = get_or_create_jwt_secret(
get_file_store(cfg.file_store, cfg.file_store_path)
)
# Utility function for command line --group argument
def get_llm_config_arg(
+2 -12
View File
@@ -114,21 +114,11 @@ class Message(BaseModel):
def _add_tool_call_keys(self, message_dict: dict) -> dict:
"""Add tool call keys if we have a tool call or response.
NOTE: this is necessary for both native and non-native tool calling."""
NOTE: this is necessary for both native and non-native tool calling"""
# an assistant message calling a tool
if self.tool_calls is not None:
message_dict['tool_calls'] = [
{
'id': tool_call.id,
'type': 'function',
'function': {
'name': tool_call.function.name,
'arguments': tool_call.function.arguments,
},
}
for tool_call in self.tool_calls
]
message_dict['tool_calls'] = self.tool_calls
# an observation message with tool response
if self.tool_call_id is not None:
-89
View File
@@ -1,89 +0,0 @@
# OpenHands Message Format and litellm Integration
## Overview
OpenHands uses its own `Message` class (`openhands/core/message.py`) which provides rich content support while maintaining compatibility with litellm's message handling system.
## Class Structure
Our `Message` class (`openhands/core/message.py`):
```python
class Message(BaseModel):
role: Literal['user', 'system', 'assistant', 'tool']
content: list[TextContent | ImageContent] = Field(default_factory=list)
cache_enabled: bool = False
vision_enabled: bool = False
condensable: bool = True
function_calling_enabled: bool = False
tool_calls: list[ChatCompletionMessageToolCall] | None = None
tool_call_id: str | None = None
name: str | None = None
event_id: int = -1
```
litellm's `Message` class (`litellm/types/utils.py`):
```python
class Message(OpenAIObject):
content: Optional[str]
role: Literal["assistant", "user", "system", "tool", "function"]
tool_calls: Optional[List[ChatCompletionMessageToolCall]]
function_call: Optional[FunctionCall]
audio: Optional[ChatCompletionAudioResponse] = None
```
## How It Works
1. **Message Creation**: Our `Message` class is a Pydantic model that supports rich content (text and images) through its `content` field.
2. **Serialization**: The class uses Pydantic's `@model_serializer` to convert messages into dictionaries that litellm can understand. We have two serialization methods:
```python
def _string_serializer(self) -> dict:
# convert content to a single string
content = '\n'.join(item.text for item in self.content if isinstance(item, TextContent))
message_dict: dict = {'content': content, 'role': self.role}
return self._add_tool_call_keys(message_dict)
def _list_serializer(self) -> dict:
content: list[dict] = []
for item in self.content:
d = item.model_dump()
if isinstance(item, TextContent):
content.append(d)
elif isinstance(item, ImageContent) and self.vision_enabled:
content.extend(d)
return {'content': content, 'role': self.role}
```
The appropriate serializer is chosen based on the message's capabilities:
```python
@model_serializer
def serialize_model(self) -> dict:
if self.cache_enabled or self.vision_enabled or self.function_calling_enabled:
return self._list_serializer()
return self._string_serializer()
```
3. **Tool Call Handling**: Tool calls require special attention in serialization because:
- They need to work with litellm's API calls (which accept both dicts and objects)
- They need to be properly serialized for token counting
- They need to maintain compatibility with different LLM providers' formats
4. **litellm Integration**: When we pass our messages to `litellm.completion()`, litellm doesn't care about the message class type - it works with the dictionary representation. This works because:
- litellm's transformation code (e.g., `litellm/llms/anthropic/chat/transformation.py`) processes messages based on their structure, not their type
- our serialization produces dictionaries that match litellm's expected format
- litellm handles rich content by looking at the message structure, supporting both simple string content and lists of content items
5. **Provider-Specific Handling**: litellm then transforms these messages into provider-specific formats (e.g., Anthropic, OpenAI) through its transformation layers, which know how to handle both simple and rich content structures.
### Token Counting
To use litellm's token counter, we need to make sure that all message components (including tool calls) are properly serialized to dictionaries. This is because:
- litellm's token counter expects dictionary structures
- Tool calls need to be included in the token count
- Different providers may count tokens differently for structured content
## Note
- We don't need to inherit from litellm's `Message` class because litellm works with dictionary representations, not class types
- Our rich content model is more sophisticated than litellm's basic string content, but litellm handles it correctly through its transformation layers
- The compatibility is maintained through proper serialization rather than inheritance
+2
View File
@@ -1,9 +1,11 @@
from openhands.core.schema.action import ActionType
from openhands.core.schema.agent import AgentState
from openhands.core.schema.config import ConfigType
from openhands.core.schema.observation import ObservationType
__all__ = [
'ActionType',
'ObservationType',
'ConfigType',
'AgentState',
]
+49
View File
@@ -0,0 +1,49 @@
from enum import Enum
class ConfigType(str, Enum):
# For frontend
AGENT = 'AGENT'
AGENT_MEMORY_ENABLED = 'AGENT_MEMORY_ENABLED'
AGENT_MEMORY_MAX_THREADS = 'AGENT_MEMORY_MAX_THREADS'
AWS_ACCESS_KEY_ID = 'AWS_ACCESS_KEY_ID'
AWS_REGION_NAME = 'AWS_REGION_NAME'
AWS_SECRET_ACCESS_KEY = 'AWS_SECRET_ACCESS_KEY'
BASE_CONTAINER_IMAGE = 'BASE_CONTAINER_IMAGE'
CACHE_DIR = 'CACHE_DIR'
CONFIRMATION_MODE = 'CONFIRMATION_MODE'
DEBUG = 'DEBUG'
DISABLE_COLOR = 'DISABLE_COLOR'
E2B_API_KEY = 'E2B_API_KEY'
FILE_UPLOADS_ALLOWED_EXTENSIONS = 'FILE_UPLOADS_ALLOWED_EXTENSIONS'
FILE_UPLOADS_MAX_FILE_SIZE_MB = 'FILE_UPLOADS_MAX_FILE_SIZE_MB'
FILE_UPLOADS_RESTRICT_FILE_TYPES = 'FILE_UPLOADS_RESTRICT_FILE_TYPES'
LLM_API_KEY = 'LLM_API_KEY'
LLM_API_VERSION = 'LLM_API_VERSION'
LLM_BASE_URL = 'LLM_BASE_URL'
LLM_CACHING_PROMPT = 'LLM_CACHING_PROMPT'
LLM_CUSTOM_LLM_PROVIDER = 'LLM_CUSTOM_LLM_PROVIDER'
LLM_DROP_PARAMS = 'LLM_DROP_PARAMS'
LLM_EMBEDDING_BASE_URL = 'LLM_EMBEDDING_BASE_URL'
LLM_EMBEDDING_DEPLOYMENT_NAME = 'LLM_EMBEDDING_DEPLOYMENT_NAME'
LLM_EMBEDDING_MODEL = 'LLM_EMBEDDING_MODEL'
LLM_MAX_INPUT_TOKENS = 'LLM_MAX_INPUT_TOKENS'
LLM_MAX_OUTPUT_TOKENS = 'LLM_MAX_OUTPUT_TOKENS'
LLM_MODEL = 'LLM_MODEL'
LLM_NUM_RETRIES = 'LLM_NUM_RETRIES'
LLM_RETRY_MAX_WAIT = 'LLM_RETRY_MAX_WAIT'
LLM_RETRY_MIN_WAIT = 'LLM_RETRY_MIN_WAIT'
LLM_TEMPERATURE = 'LLM_TEMPERATURE'
LLM_TIMEOUT = 'LLM_TIMEOUT'
LLM_TOP_P = 'LLM_TOP_P'
LLM_DISABLE_VISION = 'LLM_DISABLE_VISION'
MAX_ITERATIONS = 'MAX_ITERATIONS'
RUN_AS_OPENHANDS = 'RUN_AS_OPENHANDS'
SANDBOX_TIMEOUT = 'SANDBOX_TIMEOUT'
SANDBOX_USER_ID = 'SANDBOX_USER_ID'
SECURITY_ANALYZER = 'SECURITY_ANALYZER'
USE_HOST_NETWORK = 'USE_HOST_NETWORK'
WORKSPACE_BASE = 'WORKSPACE_BASE'
WORKSPACE_MOUNT_PATH = 'WORKSPACE_MOUNT_PATH'
WORKSPACE_MOUNT_PATH_IN_SANDBOX = 'WORKSPACE_MOUNT_PATH_IN_SANDBOX'
WORKSPACE_MOUNT_REWRITE = 'WORKSPACE_MOUNT_REWRITE'
+7 -52
View File
@@ -25,7 +25,6 @@ from litellm.exceptions import (
ServiceUnavailableError,
)
from litellm.types.utils import CostPerToken, ModelResponse, Usage
from litellm.utils import create_pretrained_tokenizer
from openhands.core.exceptions import CloudFlareBlockageError
from openhands.core.logger import openhands_logger as logger
@@ -123,13 +122,6 @@ class LLM(RetryMixin, DebugMixin):
if self.is_function_calling_active():
logger.debug('LLM: model supports function calling')
# if using a custom tokenizer, make sure it's loaded and accessible in the format expected by litellm
if self.config.custom_tokenizer is not None:
self.tokenizer = create_pretrained_tokenizer(self.config.custom_tokenizer)
else:
self.tokenizer = None
# set up the completion function
self._completion = partial(
litellm_completion,
model=self.config.model,
@@ -207,17 +199,9 @@ class LLM(RetryMixin, DebugMixin):
}
try:
# Record start time for latency measurement
start_time = time.time()
# we don't support streaming here, thus we get a ModelResponse
resp: ModelResponse = self._completion_unwrapped(*args, **kwargs)
# Calculate and record latency
latency = time.time() - start_time
response_id = resp.get('id', 'unknown')
self.metrics.add_response_latency(latency, response_id)
non_fncall_response = copy.deepcopy(resp)
if mock_function_calling:
assert len(resp.choices) == 1
@@ -452,11 +436,6 @@ class LLM(RetryMixin, DebugMixin):
self.metrics.accumulated_cost,
)
# Add latency to stats if available
if self.metrics.response_latencies:
latest_latency = self.metrics.response_latencies[-1]
stats += 'Response Latency: %.3f seconds\n' % latest_latency.latency
usage: Usage | None = response.get('usage')
if usage:
@@ -499,43 +478,19 @@ class LLM(RetryMixin, DebugMixin):
return cur_cost
def get_token_count(self, messages: list[dict] | list[Message]) -> int:
"""Get the number of tokens in a list of messages. Use dicts for better token counting.
def get_token_count(self, messages) -> int:
"""Get the number of tokens in a list of messages.
Args:
messages (list): A list of messages, either as a list of dicts or as a list of Message objects.
messages (list): A list of messages.
Returns:
int: The number of tokens.
"""
# attempt to convert Message objects to dicts, litellm expects dicts
if (
isinstance(messages, list)
and len(messages) > 0
and isinstance(messages[0], Message)
):
logger.info(
'Message objects now include serialized tool calls in token counting'
)
messages = self.format_messages_for_llm(messages) # type: ignore
# try to get the token count with the default litellm tokenizers
# or the custom tokenizer if set for this LLM configuration
try:
return litellm.token_counter(
model=self.config.model,
messages=messages,
custom_tokenizer=self.tokenizer,
)
except Exception as e:
# limit logspam in case token count is not supported
logger.error(
f'Error getting token count for\n model {self.config.model}\n{e}'
+ (
f'\ncustom_tokenizer: {self.config.custom_tokenizer}'
if self.config.custom_tokenizer is not None
else ''
)
)
return litellm.token_counter(model=self.config.model, messages=messages)
except Exception:
# TODO: this is to limit logspam in case token count is not supported
return 0
def _is_local(self) -> bool:
-28
View File
@@ -9,25 +9,15 @@ class Cost(BaseModel):
timestamp: float = Field(default_factory=time.time)
class ResponseLatency(BaseModel):
"""Metric tracking the round-trip time per completion call."""
model: str
latency: float
response_id: str
class Metrics:
"""Metrics class can record various metrics during running and evaluation.
Currently, we define the following metrics:
accumulated_cost: the total cost (USD $) of the current LLM.
response_latency: the time taken for each LLM completion call.
"""
def __init__(self, model_name: str = 'default') -> None:
self._accumulated_cost: float = 0.0
self._costs: list[Cost] = []
self._response_latencies: list[ResponseLatency] = []
self.model_name = model_name
@property
@@ -44,44 +34,26 @@ class Metrics:
def costs(self) -> list[Cost]:
return self._costs
@property
def response_latencies(self) -> list[ResponseLatency]:
return self._response_latencies
def add_cost(self, value: float) -> None:
if value < 0:
raise ValueError('Added cost cannot be negative.')
self._accumulated_cost += value
self._costs.append(Cost(cost=value, model=self.model_name))
def add_response_latency(self, value: float, response_id: str) -> None:
if value < 0:
raise ValueError('Response latency cannot be negative.')
self._response_latencies.append(
ResponseLatency(
latency=value, model=self.model_name, response_id=response_id
)
)
def merge(self, other: 'Metrics') -> None:
self._accumulated_cost += other.accumulated_cost
self._costs += other._costs
self._response_latencies += other._response_latencies
def get(self) -> dict:
"""Return the metrics in a dictionary."""
return {
'accumulated_cost': self._accumulated_cost,
'costs': [cost.model_dump() for cost in self._costs],
'response_latencies': [
latency.model_dump() for latency in self._response_latencies
],
}
def reset(self):
self._accumulated_cost = 0.0
self._costs = []
self._response_latencies = []
def log(self):
"""Log the metrics."""
+1 -1
View File
@@ -221,7 +221,7 @@ class Runtime(FileEditRuntimeMixin):
action = CmdRunAction(
command=f'git clone {url} {dir_name} ; cd {dir_name} ; git checkout -b openhands-workspace'
)
self.log('info', f'Cloning repo: {selected_repository}')
self.log('info', 'Cloning repo: {selected_repository}')
self.run_action(action)
def get_custom_microagents(self, selected_repository: str | None) -> list[str]:
@@ -43,7 +43,6 @@ from openhands.runtime.builder import DockerRuntimeBuilder
from openhands.runtime.impl.eventstream.containers import remove_all_containers
from openhands.runtime.plugins import PluginRequirement
from openhands.runtime.utils import find_available_tcp_port
from openhands.runtime.utils.log_streamer import LogStreamer
from openhands.runtime.utils.request import send_request
from openhands.runtime.utils.runtime_build import build_runtime_image
from openhands.utils.async_utils import call_sync_from_async
@@ -59,6 +58,68 @@ def remove_all_runtime_containers():
atexit.register(remove_all_runtime_containers)
class LogBuffer:
"""Synchronous buffer for Docker container logs.
This class provides a thread-safe way to collect, store, and retrieve logs
from a Docker container. It uses a list to store log lines and provides methods
for appending, retrieving, and clearing logs.
"""
def __init__(self, container: docker.models.containers.Container, logFn: Callable):
self.init_msg = 'Runtime client initialized.'
self.buffer: list[str] = []
self.lock = threading.Lock()
self._stop_event = threading.Event()
self.log_generator = container.logs(stream=True, follow=True)
self.log_stream_thread = threading.Thread(target=self.stream_logs)
self.log_stream_thread.daemon = True
self.log_stream_thread.start()
self.log = logFn
def append(self, log_line: str):
with self.lock:
self.buffer.append(log_line)
def get_and_clear(self) -> list[str]:
with self.lock:
logs = list(self.buffer)
self.buffer.clear()
return logs
def stream_logs(self):
"""Stream logs from the Docker container in a separate thread.
This method runs in its own thread to handle the blocking
operation of reading log lines from the Docker SDK's synchronous generator.
"""
try:
for log_line in self.log_generator:
if self._stop_event.is_set():
break
if log_line:
decoded_line = log_line.decode('utf-8').rstrip()
self.append(decoded_line)
except Exception as e:
self.log('error', f'Error streaming docker logs: {e}')
def __del__(self):
if self.log_stream_thread.is_alive():
self.log(
'warn',
"LogBuffer was not properly closed. Use 'log_buffer.close()' for clean shutdown.",
)
self.close(timeout=5)
def close(self, timeout: float = 5.0):
self._stop_event.set()
self.log_stream_thread.join(timeout)
# Close the log generator to release the file descriptor
if hasattr(self.log_generator, 'close'):
self.log_generator.close()
class EventStreamRuntime(Runtime):
"""This runtime will subscribe the event stream.
When receive an event, it will send the event to runtime-client which run inside the docker environment.
@@ -125,7 +186,7 @@ class EventStreamRuntime(Runtime):
self.runtime_builder = DockerRuntimeBuilder(self.docker_client)
# Buffer for container logs
self.log_streamer: LogStreamer | None = None
self.log_buffer: LogBuffer | None = None
self.init_base_runtime(
config,
@@ -180,7 +241,7 @@ class EventStreamRuntime(Runtime):
f'Container started: {self.container_name}. VSCode URL: {self.vscode_url}',
)
self.log_streamer = LogStreamer(self.container, self.log)
self.log_buffer = LogBuffer(self.container, self.log)
if not self.attach_to_existing:
self.log('info', f'Waiting for client to become ready at {self.api_url}...')
@@ -346,6 +407,27 @@ class EventStreamRuntime(Runtime):
f'attached to container: {self.container_name} {self._container_port} {self.api_url}',
)
def _refresh_logs(self):
self.log('debug', 'Getting container logs...')
assert (
self.log_buffer is not None
), 'Log buffer is expected to be initialized when container is started'
logs = self.log_buffer.get_and_clear()
if logs:
formatted_logs = '\n'.join([f' |{log}' for log in logs])
self.log(
'debug',
'\n'
+ '-' * 35
+ 'Container logs:'
+ '-' * 35
+ f'\n{formatted_logs}'
+ '\n'
+ '-' * 80,
)
@tenacity.retry(
stop=tenacity.stop_after_delay(120) | stop_if_should_exit(),
retry=tenacity.retry_if_exception_type(
@@ -364,7 +446,8 @@ class EventStreamRuntime(Runtime):
except docker.errors.NotFound:
raise RuntimeNotFoundError(f'Container {self.container_name} not found.')
if not self.log_streamer:
self._refresh_logs()
if not self.log_buffer:
raise RuntimeError('Runtime client is not ready.')
with send_request(
@@ -381,8 +464,8 @@ class EventStreamRuntime(Runtime):
Parameters:
- rm_all_containers (bool): Whether to remove all containers with the 'openhands-sandbox-' prefix
"""
if self.log_streamer:
self.log_streamer.close()
if self.log_buffer:
self.log_buffer.close()
if self.session:
self.session.close()
@@ -430,6 +513,8 @@ class EventStreamRuntime(Runtime):
'Action has been rejected by the user! Waiting for further user input.'
)
self._refresh_logs()
assert action.timeout is not None
try:
@@ -448,7 +533,7 @@ class EventStreamRuntime(Runtime):
raise RuntimeError(
f'Runtime failed to return execute_action before the requested timeout of {action.timeout}s'
)
self._refresh_logs()
return obs
def run(self, action: CmdRunAction) -> Observation:
@@ -479,6 +564,7 @@ class EventStreamRuntime(Runtime):
if not os.path.exists(host_src):
raise FileNotFoundError(f'Source file {host_src} does not exist')
self._refresh_logs()
try:
if recursive:
# For recursive copy, create a zip file
@@ -523,13 +609,14 @@ class EventStreamRuntime(Runtime):
self.log(
'debug', f'Copy completed: host:{host_src} -> runtime:{sandbox_dest}'
)
self._refresh_logs()
def list_files(self, path: str | None = None) -> list[str]:
"""List files in the sandbox.
If path is None, list files in the sandbox's initial working directory (e.g., /workspace).
"""
self._refresh_logs()
try:
data = {}
if path is not None:
@@ -550,7 +637,7 @@ class EventStreamRuntime(Runtime):
def copy_from(self, path: str) -> Path:
"""Zip all files in the sandbox and return as a stream of bytes."""
self._refresh_logs()
try:
params = {'path': path}
with send_request(
+21 -32
View File
@@ -12,7 +12,7 @@ from openhands.core.config import AppConfig
from openhands.events import EventStream
from openhands.runtime.impl.eventstream.eventstream_runtime import (
EventStreamRuntime,
LogStreamer,
LogBuffer,
)
from openhands.runtime.plugins import PluginRequirement
from openhands.runtime.utils.command import get_remote_startup_command
@@ -32,38 +32,24 @@ def bytes_shim(string_generator) -> Generator[bytes, None, None]:
yield line.encode('utf-8')
class ModalLogStreamer(LogStreamer):
"""Streams Modal sandbox logs to stdout.
class ModalLogBuffer(LogBuffer):
"""Synchronous buffer for Modal sandbox logs.
This class provides a way to stream logs from a Modal sandbox directly to stdout
through the provided logging function.
This class provides a thread-safe way to collect, store, and retrieve logs
from a Modal sandbox. It uses a list to store log lines and provides methods
for appending, retrieving, and clearing logs.
"""
def __init__(
self,
sandbox: modal.Sandbox,
logFn: Callable,
):
self.log = logFn
def __init__(self, sandbox: modal.Sandbox):
self.init_msg = 'Runtime client initialized.'
self.buffer: list[str] = []
self.lock = threading.Lock()
self._stop_event = threading.Event()
self.log_generator = bytes_shim(sandbox.stderr)
# Start the stdout streaming thread
self.stdout_thread = threading.Thread(target=self._stream_logs)
self.stdout_thread.daemon = True
self.stdout_thread.start()
def _stream_logs(self):
"""Stream logs from the Modal sandbox."""
try:
for log_line in self.log_generator:
if self._stop_event.is_set():
break
if log_line:
decoded_line = log_line.decode('utf-8').rstrip()
self.log('debug', f'[inside sandbox] {decoded_line}')
except Exception as e:
self.log('error', f'Error streaming modal logs: {e}')
self.log_stream_thread = threading.Thread(target=self.stream_logs)
self.log_stream_thread.daemon = True
self.log_stream_thread.start()
class ModalRuntime(EventStreamRuntime):
@@ -123,7 +109,7 @@ class ModalRuntime(EventStreamRuntime):
self.action_semaphore = threading.Semaphore(1) # Ensure one action at a time
# Buffer for container logs
self.log_streamer: LogStreamer | None = None
self.log_buffer: LogBuffer | None = None
if self.config.sandbox.runtime_extra_deps:
self.log(
@@ -170,7 +156,7 @@ class ModalRuntime(EventStreamRuntime):
self.send_status_message('STATUS$CONTAINER_STARTED')
self.log_streamer = ModalLogStreamer(self.sandbox, self.log)
self.log_buffer = ModalLogBuffer(self.sandbox)
if self.sandbox is None:
raise Exception('Sandbox not initialized')
tunnel = self.sandbox.tunnels()[self.container_port]
@@ -292,8 +278,11 @@ echo 'export INPUTRC=/etc/inputrc' >> /etc/bash.bashrc
def close(self):
"""Closes the ModalRuntime and associated objects."""
if self.log_streamer:
self.log_streamer.close()
# if self.temp_dir_handler:
# self.temp_dir_handler.__exit__(None, None, None)
if self.log_buffer:
self.log_buffer.close()
if self.session:
self.session.close()
@@ -149,7 +149,7 @@ class RemoteRuntime(Runtime):
'GET',
f'{self.config.sandbox.remote_runtime_api_url}/sessions/{self.sid}',
is_retry=False,
timeout=30,
timeout=5,
) as response:
data = response.json()
status = data.get('status')
@@ -12,43 +12,49 @@ from runloop_api_client.types.shared_params import LaunchParameters
from openhands.core.config import AppConfig
from openhands.core.logger import openhands_logger as logger
from openhands.events import EventStream
from openhands.runtime.impl.eventstream.eventstream_runtime import EventStreamRuntime
from openhands.runtime.impl.eventstream.eventstream_runtime import (
EventStreamRuntime,
LogBuffer,
)
from openhands.runtime.plugins import PluginRequirement
from openhands.runtime.utils.command import get_remote_startup_command
from openhands.runtime.utils.log_streamer import LogStreamer
from openhands.runtime.utils.request import send_request
from openhands.utils.tenacity_stop import stop_if_should_exit
CONTAINER_NAME_PREFIX = 'openhands-runtime-'
class RunloopLogStreamer(LogStreamer):
"""Streams Runloop devbox logs to stdout.
class RunloopLogBuffer(LogBuffer):
"""Synchronous buffer for Runloop devbox logs.
This class provides a way to stream logs from a Runloop devbox directly to stdout
through the provided logging function.
This class provides a thread-safe way to collect, store, and retrieve logs
from a Docker container. It uses a list to store log lines and provides methods
for appending, retrieving, and clearing logs.
"""
def __init__(
self,
runloop_api_client: Runloop,
devbox_id: str,
logFn: Callable,
):
def __init__(self, runloop_api_client: Runloop, devbox_id: str):
self.client_ready = False
self.init_msg = 'Runtime client initialized.'
self.buffer: list[str] = []
self.lock = threading.Lock()
self._stop_event = threading.Event()
self.runloop_api_client = runloop_api_client
self.devbox_id = devbox_id
self.log = logFn
self.log_index = 0
self._stop_event = threading.Event()
self.log_stream_thread = threading.Thread(target=self.stream_logs)
self.log_stream_thread.daemon = True
self.log_stream_thread.start()
# Start the stdout streaming thread
self.stdout_thread = threading.Thread(target=self._stream_logs)
self.stdout_thread.daemon = True
self.stdout_thread.start()
def stream_logs(self):
"""Stream logs from the Docker container in a separate thread.
This method runs in its own thread to handle the blocking
operation of reading log lines from the Docker SDK's synchronous generator.
"""
def _stream_logs(self):
"""Stream logs from the Runloop devbox."""
try:
# TODO(Runloop) Replace with stream
while True:
raw_logs = self.runloop_api_client.devboxes.logs.list(
self.devbox_id
@@ -64,11 +70,29 @@ class RunloopLogStreamer(LogStreamer):
break
if logs:
for log_line in logs:
self.log('debug', f'[inside devbox] {log_line}')
self.append(log_line)
if self.init_msg in log_line:
self.client_ready = True
time.sleep(1)
except Exception as e:
self.log('error', f'Error streaming runloop logs: {e}')
logger.error(f'Error streaming runloop logs: {e}')
# NB: Match LogBuffer behavior on below methods
def get_and_clear(self) -> list[str]:
with self.lock:
logs = list(self.buffer)
self.buffer.clear()
return logs
def append(self, log_line: str):
with self.lock:
self.buffer.append(log_line)
def close(self, timeout: float = 5.0):
self._stop_event.set()
self.log_stream_thread.join(timeout)
class RunloopRuntime(EventStreamRuntime):
@@ -108,7 +132,7 @@ class RunloopRuntime(EventStreamRuntime):
headless_mode,
)
# Buffer for container logs
self.log_streamer: LogStreamer | None = None
self.log_buffer: LogBuffer | None = None
self._vscode_url: str | None = None
@tenacity.retry(
@@ -200,9 +224,7 @@ class RunloopRuntime(EventStreamRuntime):
)
# Hook up logs
self.log_streamer = RunloopLogStreamer(
self.runloop_api_client, self.devbox.id, logger.info
)
self.log_buffer = RunloopLogBuffer(self.runloop_api_client, self.devbox.id)
self.api_url = tunnel.url
logger.info(f'Container started. Server url: {self.api_url}')
@@ -226,7 +248,9 @@ class RunloopRuntime(EventStreamRuntime):
reraise=(ConnectionRefusedError,),
)
def _wait_until_alive(self):
if not self.log_streamer:
# NB(Runloop): Remote logs are not guaranteed realtime, removing client_ready check from logs
self._refresh_logs()
if not self.log_buffer:
raise RuntimeError('Runtime client is not ready.')
response = send_request(
self.session,
@@ -242,8 +266,8 @@ class RunloopRuntime(EventStreamRuntime):
raise RuntimeError(msg)
def close(self, rm_all_containers: bool | None = True):
if self.log_streamer:
self.log_streamer.close()
if self.log_buffer:
self.log_buffer.close()
if self.session:
self.session.close()
-51
View File
@@ -1,51 +0,0 @@
import threading
from typing import Callable
import docker
class LogStreamer:
"""Streams Docker container logs to stdout.
This class provides a way to stream logs from a Docker container directly to stdout
through the provided logging function.
"""
def __init__(
self,
container: docker.models.containers.Container,
logFn: Callable,
):
self.log = logFn
self.log_generator = container.logs(stream=True, follow=True)
self._stop_event = threading.Event()
# Start the stdout streaming thread
self.stdout_thread = threading.Thread(target=self._stream_logs)
self.stdout_thread.daemon = True
self.stdout_thread.start()
def _stream_logs(self):
"""Stream logs from the Docker container to stdout."""
try:
for log_line in self.log_generator:
if self._stop_event.is_set():
break
if log_line:
decoded_line = log_line.decode('utf-8').rstrip()
self.log('debug', f'[inside container] {decoded_line}')
except Exception as e:
self.log('error', f'Error streaming docker logs to stdout: {e}')
def __del__(self):
if self.stdout_thread and self.stdout_thread.is_alive():
self.close(timeout=5)
def close(self, timeout: float = 5.0):
"""Clean shutdown of the log streaming."""
self._stop_event.set()
if self.stdout_thread and self.stdout_thread.is_alive():
self.stdout_thread.join(timeout)
# Close the log generator to release the file descriptor
if hasattr(self.log_generator, 'close'):
self.log_generator.close()
+4 -5
View File
@@ -16,13 +16,13 @@ from openhands.server.middleware import (
NoCacheMiddleware,
RateLimitMiddleware,
)
from openhands.server.routes.auth import app as auth_api_router
from openhands.server.routes.conversation import app as conversation_api_router
from openhands.server.routes.feedback import app as feedback_api_router
from openhands.server.routes.files import app as files_api_router
from openhands.server.routes.github import app as github_api_router
from openhands.server.routes.public import app as public_api_router
from openhands.server.routes.security import app as security_api_router
from openhands.server.shared import openhands_config, session_manager
from openhands.server.shared import config, session_manager
from openhands.utils.import_utils import get_impl
@@ -51,16 +51,15 @@ async def health():
return 'OK'
app.include_router(auth_api_router)
app.include_router(public_api_router)
app.include_router(files_api_router)
app.include_router(conversation_api_router)
app.include_router(security_api_router)
app.include_router(feedback_api_router)
app.include_router(github_api_router)
AttachSessionMiddlewareImpl = get_impl(
AttachSessionMiddleware, openhands_config.attach_session_middleware_path
AttachSessionMiddleware, config.attach_session_middleware_class
)
app.middleware('http')(AttachSessionMiddlewareImpl(app, target_router=files_api_router))
app.middleware('http')(
+2 -2
View File
@@ -30,10 +30,10 @@ def get_sid_from_token(token: str, jwt_secret: str) -> str:
return ''
def sign_token(payload: dict[str, object], jwt_secret: str, algorithm='HS256') -> str:
def sign_token(payload: dict[str, object], jwt_secret: str) -> str:
"""Signs a JWT token."""
# payload = {
# "sid": sid,
# # "exp": datetime.now(timezone.utc) + timedelta(minutes=15),
# }
return jwt.encode(payload, jwt_secret, algorithm=algorithm)
return jwt.encode(payload, jwt_secret, algorithm='HS256')
@@ -1,58 +0,0 @@
import os
from fastapi import HTTPException
from openhands.core.logger import openhands_logger as logger
from openhands.server.types import AppMode, OpenhandsConfigInterface
from openhands.utils.import_utils import get_impl
class OpenhandsConfig(OpenhandsConfigInterface):
config_cls = os.environ.get('OPENHANDS_CONFIG_CLS', None)
app_mode = AppMode.OSS
posthog_client_key = 'phc_3ESMmY9SgqEAGBB6sMGK5ayYHkeUuknH2vP6FmWH9RA'
github_client_id = os.environ.get('GITHUB_APP_CLIENT_ID', '')
attach_session_middleware_path = (
'openhands.server.middleware.AttachSessionMiddleware'
)
def verify_config(self):
if self.config_cls:
raise ValueError('Unexpected config path provided')
def verify_github_repo_list(self, installation_id: int | None):
if self.app_mode == AppMode.OSS and installation_id:
raise HTTPException(
status_code=400,
detail='Unexpected installation ID',
)
def get_config(self):
config = {
'APP_MODE': self.app_mode,
'GITHUB_CLIENT_ID': self.github_client_id,
'POSTHOG_CLIENT_KEY': self.posthog_client_key,
}
return config
async def github_auth(self, data: dict):
"""
Skip Github Auth for AppMode OSS
"""
pass
def load_openhands_config():
config_cls = os.environ.get('OPENHANDS_CONFIG_CLS', None)
logger.info(f'Using config class {config_cls}')
if config_cls:
openhands_config_cls = get_impl(OpenhandsConfig, config_cls)
else:
openhands_config_cls = OpenhandsConfig
openhands_config = openhands_config_cls()
openhands_config.verify_config()
return openhands_config
+129
View File
@@ -0,0 +1,129 @@
import os
from github import Github
from github.GithubException import GithubException
from tenacity import retry, stop_after_attempt, wait_exponential
from openhands.core.logger import openhands_logger as logger
from openhands.server.sheets_client import GoogleSheetsClient
from openhands.utils.async_utils import call_sync_from_async
GITHUB_CLIENT_ID = os.getenv('GITHUB_CLIENT_ID', '').strip()
GITHUB_CLIENT_SECRET = os.getenv('GITHUB_CLIENT_SECRET', '').strip()
class UserVerifier:
def __init__(self) -> None:
logger.debug('Initializing UserVerifier')
self.file_users: list[str] | None = None
self.sheets_client: GoogleSheetsClient | None = None
self.spreadsheet_id: str | None = None
# Initialize from environment variables
self._init_file_users()
self._init_sheets_client()
def _init_file_users(self) -> None:
"""Load users from text file if configured"""
waitlist = os.getenv('GITHUB_USER_LIST_FILE')
if not waitlist:
logger.debug('GITHUB_USER_LIST_FILE not configured')
return
if not os.path.exists(waitlist):
logger.error(f'User list file not found: {waitlist}')
raise FileNotFoundError(f'User list file not found: {waitlist}')
try:
with open(waitlist, 'r') as f:
self.file_users = [line.strip() for line in f if line.strip()]
logger.info(
f'Successfully loaded {len(self.file_users)} users from {waitlist}'
)
except Exception as e:
logger.error(f'Error reading user list file {waitlist}: {str(e)}')
def _init_sheets_client(self) -> None:
"""Initialize Google Sheets client if configured"""
sheet_id = os.getenv('GITHUB_USERS_SHEET_ID')
if not sheet_id:
logger.debug('GITHUB_USERS_SHEET_ID not configured')
return
logger.debug('Initializing Google Sheets integration')
self.sheets_client = GoogleSheetsClient()
self.spreadsheet_id = sheet_id
def is_active(self) -> bool:
return bool(self.file_users or (self.sheets_client and self.spreadsheet_id))
def is_user_allowed(self, username: str) -> bool:
"""Check if user is allowed based on file and/or sheet configuration"""
if not self.is_active():
return True
logger.debug(f'Checking if GitHub user {username} is allowed')
if self.file_users:
if username in self.file_users:
logger.debug(f'User {username} found in text file allowlist')
return True
logger.debug(f'User {username} not found in text file allowlist')
if self.sheets_client and self.spreadsheet_id:
sheet_users = self.sheets_client.get_usernames(self.spreadsheet_id)
if username in sheet_users:
logger.debug(f'User {username} found in Google Sheets allowlist')
return True
logger.debug(f'User {username} not found in Google Sheets allowlist')
logger.debug(f'User {username} not found in any allowlist')
return False
async def authenticate_github_user(auth_token) -> bool:
user_verifier = UserVerifier()
if not user_verifier.is_active():
logger.debug('No user verification sources configured - allowing all users')
return True
logger.debug('Checking GitHub token')
if not auth_token:
logger.warning('No GitHub token provided')
return False
login = await get_github_user(auth_token)
if not user_verifier.is_user_allowed(login):
logger.warning(f'GitHub user {login} not in allow list')
return False
logger.info(f'GitHub user {login} authenticated')
return True
@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=1, max=5))
async def get_github_user(token: str) -> str:
"""Get GitHub user info from token.
Args:
token: GitHub access token
Returns:
github handle of the user
"""
logger.debug('Fetching GitHub user info from token')
g = Github(token)
try:
user = await call_sync_from_async(g.get_user)
except GithubException as e:
logger.error(f'Error making request to GitHub API: {str(e)}')
logger.error(e)
raise
finally:
g.close()
login = user.login
logger.info(f'Successfully retrieved GitHub user: {login}')
return login
+14 -9
View File
@@ -1,3 +1,5 @@
from fastapi import status
from openhands.core.logger import openhands_logger as logger
from openhands.core.schema.action import ActionType
from openhands.events.action import (
@@ -10,8 +12,9 @@ from openhands.events.observation.agent import AgentStateChangedObservation
from openhands.events.serialization import event_to_dict
from openhands.events.stream import AsyncEventStreamWrapper
from openhands.server.auth import get_sid_from_token, sign_token
from openhands.server.github_utils import authenticate_github_user
from openhands.server.session.session_init_data import SessionInitData
from openhands.server.shared import config, openhands_config, session_manager, sio
from openhands.server.shared import config, session_manager, sio
@sio.event
@@ -24,15 +27,16 @@ async def oh_action(connection_id: str, data: dict):
# If it's an init, we do it here.
action = data.get('action', '')
if action == ActionType.INIT:
await openhands_config.github_auth(data)
github_token = data.pop('github_token', None)
token = data.pop('token', None)
github_token = data.pop('github_token', None)
latest_event_id = int(data.pop('latest_event_id', -1))
kwargs = {k.lower(): v for k, v in (data.get('args') or {}).items()}
session_init_data = SessionInitData(**kwargs)
session_init_data.github_token = github_token
session_init_data.selected_repository = data.get('selected_repository', None)
await init_connection(connection_id, token, session_init_data, latest_event_id)
await init_connection(
connection_id, token, github_token, session_init_data, latest_event_id
)
return
logger.info(f'sio:oh_action:{connection_id}')
@@ -42,9 +46,13 @@ async def oh_action(connection_id: str, data: dict):
async def init_connection(
connection_id: str,
token: str | None,
gh_token: str | None,
session_init_data: SessionInitData,
latest_event_id: int,
):
if not await authenticate_github_user(gh_token):
raise RuntimeError(status.WS_1008_POLICY_VIOLATION)
if token:
sid = get_sid_from_token(token, config.jwt_secret)
if sid == '':
@@ -76,11 +84,8 @@ async def init_connection(
):
continue
elif isinstance(event, AgentStateChangedObservation):
if event.agent_state == 'init':
await sio.emit('oh_event', event_to_dict(event), to=connection_id)
else:
agent_state_changed = event
continue
agent_state_changed = event
continue
await sio.emit('oh_event', event_to_dict(event), to=connection_id)
if agent_state_changed:
await sio.emit('oh_event', event_to_dict(agent_state_changed), to=connection_id)
+41 -38
View File
@@ -4,6 +4,7 @@ from datetime import datetime, timedelta
from typing import Callable
from urllib.parse import urlparse
import jwt
from fastapi import APIRouter, Request, status
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
@@ -12,8 +13,8 @@ from starlette.types import ASGIApp
from openhands.core.logger import openhands_logger as logger
from openhands.server.auth import get_sid_from_token
from openhands.server.github_utils import UserVerifier
from openhands.server.shared import config, session_manager
from openhands.server.types import SessionMiddlewareInterface
class LocalhostCORSMiddleware(CORSMiddleware):
@@ -108,32 +109,53 @@ class RateLimitMiddleware(BaseHTTPMiddleware):
return await call_next(request)
class AttachSessionMiddleware(SessionMiddlewareInterface):
class AttachSessionMiddleware:
def __init__(self, app, target_router: APIRouter):
self.app = app
self.target_router = target_router
self.target_paths = {route.path for route in target_router.routes}
def _should_attach(self, request) -> bool:
"""
Determine if the middleware should attach a session for the given request.
"""
if request.method == 'OPTIONS':
return False
if request.url.path not in self.target_paths:
return False
return True
async def __call__(self, request: Request, call_next: Callable):
do_attach = False
if request.url.path in self.target_paths:
do_attach = True
async def _attach_session(self, request: Request) -> JSONResponse | None:
"""
Attach the user's session based on the provided authentication token.
"""
auth_token = request.headers.get('Authorization', '')
if request.method == 'OPTIONS':
do_attach = False
if not do_attach:
return await call_next(request)
user_verifier = UserVerifier()
if user_verifier.is_active():
signed_token = request.cookies.get('github_auth')
if not signed_token:
return JSONResponse(
status_code=status.HTTP_401_UNAUTHORIZED,
content={'error': 'Not authenticated'},
)
try:
jwt.decode(signed_token, config.jwt_secret, algorithms=['HS256'])
except Exception as e:
logger.warning(f'Invalid token: {e}')
return JSONResponse(
status_code=status.HTTP_401_UNAUTHORIZED,
content={'error': 'Invalid token'},
)
if not request.headers.get('Authorization'):
logger.warning('Missing Authorization header')
return JSONResponse(
status_code=status.HTTP_401_UNAUTHORIZED,
content={'error': 'Missing Authorization header'},
)
auth_token = request.headers.get('Authorization')
if 'Bearer' in auth_token:
auth_token = auth_token.split('Bearer')[1].strip()
request.state.sid = get_sid_from_token(auth_token, config.jwt_secret)
if not request.state.sid:
if request.state.sid == '':
logger.warning('Invalid token')
return JSONResponse(
status_code=status.HTTP_401_UNAUTHORIZED,
@@ -143,32 +165,13 @@ class AttachSessionMiddleware(SessionMiddlewareInterface):
request.state.conversation = await session_manager.attach_to_conversation(
request.state.sid
)
if not request.state.conversation:
if request.state.conversation is None:
return JSONResponse(
status_code=status.HTTP_404_NOT_FOUND,
content={'error': 'Session not found'},
)
return None
async def _detach_session(self, request: Request) -> None:
"""
Detach the user's session.
"""
await session_manager.detach_from_conversation(request.state.conversation)
async def __call__(self, request: Request, call_next: Callable):
if not self._should_attach(request):
return await call_next(request)
response = await self._attach_session(request)
if response:
return response
try:
# Continue processing the request
response = await call_next(request)
finally:
# Ensure the session is detached
await self._detach_session(request)
await session_manager.detach_from_conversation(request.state.conversation)
return response
-10
View File
@@ -58,15 +58,5 @@ def refresh_files():
return ['hello_world.py']
@app.get('/api/options/config')
def get_config():
return {'APP_MODE': 'oss'}
@app.get('/api/options/security-analyzers')
def get_analyzers():
return []
if __name__ == '__main__':
uvicorn.run(app, host='127.0.0.1', port=3000)
+100
View File
@@ -0,0 +1,100 @@
import time
import warnings
import requests
from openhands.server.github_utils import (
GITHUB_CLIENT_ID,
GITHUB_CLIENT_SECRET,
authenticate_github_user,
)
with warnings.catch_warnings():
warnings.simplefilter('ignore')
from fastapi import (
APIRouter,
Request,
status,
)
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from openhands.core.logger import openhands_logger as logger
from openhands.server.auth import sign_token
from openhands.server.shared import config
app = APIRouter(prefix='/api')
class AuthCode(BaseModel):
code: str
@app.post('/github/callback')
def github_callback(auth_code: AuthCode):
# Prepare data for the token exchange request
data = {
'client_id': GITHUB_CLIENT_ID,
'client_secret': GITHUB_CLIENT_SECRET,
'code': auth_code.code,
}
logger.debug('Exchanging code for GitHub token')
headers = {'Accept': 'application/json'}
response = requests.post(
'https://github.com/login/oauth/access_token', data=data, headers=headers
)
if response.status_code != 200:
logger.error(f'Failed to exchange code for token: {response.text}')
return JSONResponse(
status_code=status.HTTP_400_BAD_REQUEST,
content={'error': 'Failed to exchange code for token'},
)
token_response = response.json()
if 'access_token' not in token_response:
return JSONResponse(
status_code=status.HTTP_400_BAD_REQUEST,
content={'error': 'No access token in response'},
)
return JSONResponse(
status_code=status.HTTP_200_OK,
content={'access_token': token_response['access_token']},
)
@app.post('/authenticate')
async def authenticate(request: Request):
token = request.headers.get('X-GitHub-Token')
if not await authenticate_github_user(token):
return JSONResponse(
status_code=status.HTTP_401_UNAUTHORIZED,
content={'error': 'Not authorized via GitHub waitlist'},
)
# Create a signed JWT token with 1-hour expiration
cookie_data = {
'github_token': token,
'exp': int(time.time()) + 3600, # 1 hour expiration
}
signed_token = sign_token(cookie_data, config.jwt_secret)
response = JSONResponse(
status_code=status.HTTP_200_OK, content={'message': 'User authenticated'}
)
# Set secure cookie with signed token
response.set_cookie(
key='github_auth',
value=signed_token,
max_age=3600, # 1 hour in seconds
httponly=True,
secure=True,
samesite='strict',
)
return response
-56
View File
@@ -1,56 +0,0 @@
import requests
from fastapi import APIRouter, HTTPException, Request
from fastapi.responses import JSONResponse
from openhands.server.shared import openhands_config
app = APIRouter(prefix='/api')
@app.get('/github/repositories')
def get_github_repositories(
request: Request,
page: int = 1,
per_page: int = 10,
sort: str = 'pushed',
installation_id: int | None = None,
):
# Extract the GitHub token from the headers
github_token = request.headers.get('X-GitHub-Token')
if not github_token:
raise HTTPException(status_code=400, detail='Missing X-GitHub-Token header')
openhands_config.verify_github_repo_list(installation_id)
# Add query parameters
params: dict[str, str] = {
'page': str(page),
'per_page': str(per_page),
}
# Construct the GitHub API URL
if installation_id:
github_api_url = (
f'https://api.github.com/user/installations/{installation_id}/repositories'
)
else:
github_api_url = 'https://api.github.com/user/repos'
params['sort'] = sort
# Set the authorization header with the GitHub token
headers = {
'Authorization': f'Bearer {github_token}',
'Accept': 'application/vnd.github.v3+json',
}
# Fetch repositories from GitHub
try:
response = requests.get(github_api_url, headers=headers, params=params)
response.raise_for_status() # Raise an error for HTTP codes >= 400
except requests.exceptions.RequestException as e:
raise HTTPException(
status_code=response.status_code if response else 500,
detail=f'Error fetching repositories: {str(e)}',
)
# Return the JSON response
return JSONResponse(content=response.json())
+1 -10
View File
@@ -16,7 +16,7 @@ from openhands.controller.agent import Agent
from openhands.core.config import LLMConfig
from openhands.core.logger import openhands_logger as logger
from openhands.llm import bedrock
from openhands.server.shared import config, openhands_config
from openhands.server.shared import config
app = APIRouter(prefix='/api/options')
@@ -104,12 +104,3 @@ async def get_security_analyzers():
list: A sorted list of security analyzer names.
"""
return sorted(SecurityAnalyzers.keys())
@app.get('/config')
async def get_config():
"""
Get current config
"""
return openhands_config.get_config()
+20 -36
View File
@@ -16,9 +16,6 @@ from openhands.security import SecurityAnalyzer, options
from openhands.storage.files import FileStore
from openhands.utils.async_utils import call_async_from_sync
WAIT_TIME_BEFORE_CLOSE = 300
WAIT_TIME_BEFORE_CLOSE_INTERVAL = 5
class AgentSession:
"""Represents a session with an Agent
@@ -33,7 +30,6 @@ class AgentSession:
controller: AgentController | None = None
runtime: Runtime | None = None
security_analyzer: SecurityAnalyzer | None = None
_initializing: bool = False
_closed: bool = False
loop: asyncio.AbstractEventLoop | None = None
@@ -115,10 +111,6 @@ class AgentSession:
github_token: str | None = None,
selected_repository: str | None = None,
):
if self._closed:
logger.warning('Session closed before starting')
return
self._initializing = True
self._create_security_analyzer(config.security.security_analyzer)
await self._create_runtime(
runtime_name=runtime_name,
@@ -128,7 +120,7 @@ class AgentSession:
selected_repository=selected_repository,
)
self.controller = self._create_controller(
self._create_controller(
agent,
config.security.confirmation_mode,
max_iterations,
@@ -139,9 +131,9 @@ class AgentSession:
self.event_stream.add_event(
ChangeAgentStateAction(AgentState.INIT), EventSource.ENVIRONMENT
)
self.controller.agent_task = self.controller.start_step_loop()
self._initializing = False
await self.controller.agent_task # type: ignore
if self.controller:
self.controller.agent_task = self.controller.start_step_loop()
await self.controller.agent_task # type: ignore
def close(self):
"""Closes the Agent session"""
@@ -151,18 +143,6 @@ class AgentSession:
call_async_from_sync(self._close)
async def _close(self):
seconds_waited = 0
while self._initializing:
logger.debug(
f'Waiting for initialization to finish before closing session {self.sid}'
)
await asyncio.sleep(WAIT_TIME_BEFORE_CLOSE_INTERVAL)
seconds_waited += WAIT_TIME_BEFORE_CLOSE_INTERVAL
if seconds_waited > WAIT_TIME_BEFORE_CLOSE:
logger.error(
f'Waited too long for initialization to finish before closing session {self.sid}'
)
break
if self.controller is not None:
end_state = self.controller.get_state()
end_state.save_to_session(self.sid, self.file_store)
@@ -229,15 +209,18 @@ class AgentSession:
)
return
self.runtime.clone_repo(github_token, selected_repository)
if agent.prompt_manager:
agent.prompt_manager.load_microagent_files(
self.runtime.get_custom_microagents(selected_repository)
)
if self.runtime is not None:
self.runtime.clone_repo(github_token, selected_repository)
if agent.prompt_manager:
agent.prompt_manager.load_microagent_files(
self.runtime.get_custom_microagents(selected_repository)
)
logger.debug(
f'Runtime initialized with plugins: {[plugin.name for plugin in self.runtime.plugins]}'
)
logger.debug(
f'Runtime initialized with plugins: {[plugin.name for plugin in self.runtime.plugins]}'
)
else:
logger.warning('Runtime initialization failed')
def _create_controller(
self,
@@ -247,7 +230,7 @@ class AgentSession:
max_budget_per_task: float | None = None,
agent_to_llm_config: dict[str, LLMConfig] | None = None,
agent_configs: dict[str, AgentConfig] | None = None,
) -> AgentController:
):
"""Creates an AgentController instance
Parameters:
@@ -284,7 +267,7 @@ class AgentSession:
)
logger.debug(msg)
controller = AgentController(
self.controller = AgentController(
sid=self.sid,
event_stream=self.event_stream,
agent=agent,
@@ -298,9 +281,10 @@ class AgentSession:
)
try:
agent_state = State.restore_from_session(self.sid, self.file_store)
controller.set_initial_state(agent_state, max_iterations, confirmation_mode)
self.controller.set_initial_state(
agent_state, max_iterations, confirmation_mode
)
logger.debug(f'Restored agent state from session, sid: {self.sid}')
except Exception as e:
logger.debug(f'State could not be restored: {e}')
logger.debug('Agent controller initialized.')
return controller
-1
View File
@@ -308,7 +308,6 @@ class SessionManager:
)
await self._close_session(session)
return True
async def _close_session(self, session: Session):
logger.info(f'_close_session:{session.sid}')
+7 -19
View File
@@ -1,6 +1,6 @@
import asyncio
import time
from copy import deepcopy
import time
import socketio
@@ -9,6 +9,7 @@ from openhands.core.config import AppConfig
from openhands.core.const.guide_url import TROUBLESHOOTING_URL
from openhands.core.logger import openhands_logger as logger
from openhands.core.schema import AgentState
from openhands.core.schema.config import ConfigType
from openhands.events.action import MessageAction, NullAction
from openhands.events.event import Event, EventSource
from openhands.events.observation import (
@@ -67,28 +68,15 @@ class Session:
)
# Extract the agent-relevant arguments from the request
agent_cls = session_init_data.agent or self.config.default_agent
self.config.security.confirmation_mode = (
self.config.security.confirmation_mode
if session_init_data.confirmation_mode is None
else session_init_data.confirmation_mode
)
self.config.security.security_analyzer = (
session_init_data.security_analyzer
or self.config.security.security_analyzer
)
self.config.security.confirmation_mode = self.config.security.confirmation_mode if session_init_data.confirmation_mode is None else session_init_data.confirmation_mode
self.config.security.security_analyzer = session_init_data.security_analyzer or self.config.security.security_analyzer
max_iterations = session_init_data.max_iterations or self.config.max_iterations
# override default LLM config
default_llm_config = self.config.get_llm_config()
default_llm_config.model = (
session_init_data.llm_model or default_llm_config.model
)
default_llm_config.api_key = (
session_init_data.llm_api_key or default_llm_config.api_key
)
default_llm_config.base_url = (
session_init_data.llm_base_url or default_llm_config.base_url
)
default_llm_config.model = session_init_data.llm_model or default_llm_config.model
default_llm_config.api_key = session_init_data.llm_api_key or default_llm_config.api_key
default_llm_config.base_url = session_init_data.llm_base_url or default_llm_config.base_url
# TODO: override other LLM config & agent config groups (#2075)
@@ -1,3 +1,5 @@
from dataclasses import dataclass
@@ -6,7 +8,6 @@ class SessionInitData:
"""
Session initialization data for the web environment - a deep copy of the global config is made and then overridden with this data.
"""
language: str | None = None
agent: str | None = None
max_iterations: int | None = None
-2
View File
@@ -4,14 +4,12 @@ import socketio
from dotenv import load_dotenv
from openhands.core.config import load_app_config
from openhands.server.config.openhands_config import load_openhands_config
from openhands.server.session import SessionManager
from openhands.storage import get_file_store
load_dotenv()
config = load_app_config()
openhands_config = load_openhands_config()
file_store = get_file_store(config.file_store, config.file_store_path)
client_manager = None
+68
View File
@@ -0,0 +1,68 @@
from typing import List
from google.auth import default
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from openhands.core.logger import openhands_logger as logger
class GoogleSheetsClient:
def __init__(self):
"""Initialize Google Sheets client using workload identity.
Uses application default credentials which supports workload identity when running in GCP.
"""
logger.info('Initializing Google Sheets client with workload identity')
try:
credentials, project = default(
scopes=['https://www.googleapis.com/auth/spreadsheets.readonly']
)
logger.info(f'Successfully obtained credentials for project: {project}')
self.service = build('sheets', 'v4', credentials=credentials)
logger.info('Successfully initialized Google Sheets API service')
except Exception as e:
logger.error(f'Failed to initialize Google Sheets client: {str(e)}')
self.service = None
def get_usernames(self, spreadsheet_id: str, range_name: str = 'A:A') -> List[str]:
"""Get list of usernames from specified Google Sheet.
Args:
spreadsheet_id: The ID of the Google Sheet
range_name: The A1 notation of the range to fetch
Returns:
List of usernames from the sheet
"""
if not self.service:
logger.error('Google Sheets service not initialized')
return []
try:
logger.info(
f'Fetching usernames from sheet {spreadsheet_id}, range {range_name}'
)
result = (
self.service.spreadsheets()
.values()
.get(spreadsheetId=spreadsheet_id, range=range_name)
.execute()
)
values = result.get('values', [])
usernames = [
str(cell[0]).strip() for cell in values if cell and cell[0].strip()
]
logger.info(
f'Successfully fetched {len(usernames)} usernames from Google Sheet'
)
return usernames
except HttpError as err:
logger.error(f'Error accessing Google Sheet {spreadsheet_id}: {err}')
return []
except Exception as e:
logger.error(
f'Unexpected error accessing Google Sheet {spreadsheet_id}: {str(e)}'
)
return []
-42
View File
@@ -1,42 +0,0 @@
from abc import ABC, abstractmethod
from enum import Enum
from typing import ClassVar, Protocol
class AppMode(Enum):
OSS = 'oss'
SAAS = 'saas'
class SessionMiddlewareInterface(Protocol):
"""Protocol for session middleware classes."""
pass
class OpenhandsConfigInterface(ABC):
CONFIG_PATH: ClassVar[str | None]
APP_MODE: ClassVar[AppMode]
POSTHOG_CLIENT_KEY: ClassVar[str]
GITHUB_CLIENT_ID: ClassVar[str]
ATTACH_SESSION_MIDDLEWARE_PATH: ClassVar[str]
@abstractmethod
def verify_config(self) -> None:
"""Verify configuration settings."""
raise NotImplementedError
@abstractmethod
async def verify_github_repo_list(self, installation_id: int | None) -> None:
"""Verify that repo list is being called via user's profile or Github App installations."""
raise NotImplementedError
@abstractmethod
async def get_config(self) -> dict[str, str]:
"""Configure attributes for frontend"""
raise NotImplementedError
@abstractmethod
async def github_auth(self, data: dict) -> None:
"""Handle GitHub authentication."""
raise NotImplementedError
Generated
+278 -272
View File
@@ -170,13 +170,13 @@ files = [
[[package]]
name = "anthropic"
version = "0.40.0"
version = "0.39.0"
description = "The official Python library for the anthropic API"
optional = false
python-versions = ">=3.8"
files = [
{file = "anthropic-0.40.0-py3-none-any.whl", hash = "sha256:442028ae8790ff9e3b6f8912043918755af1230d193904ae2ef78cc22995280c"},
{file = "anthropic-0.40.0.tar.gz", hash = "sha256:3efeca6d9e97813f93ed34322c6c7ea2279bf0824cd0aa71b59ce222665e2b87"},
{file = "anthropic-0.39.0-py3-none-any.whl", hash = "sha256:ea17093ae0ce0e1768b0c46501d6086b5bcd74ff39d68cd2d6396374e9de7c09"},
{file = "anthropic-0.39.0.tar.gz", hash = "sha256:94671cc80765f9ce693f76d63a97ee9bef4c2d6063c044e983d21a2e262f63ba"},
]
[package.dependencies]
@@ -553,17 +553,17 @@ files = [
[[package]]
name = "boto3"
version = "1.35.82"
version = "1.35.78"
description = "The AWS SDK for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "boto3-1.35.82-py3-none-any.whl", hash = "sha256:c422b68ae76959b9e23b77eb79e41c3483332f7e1de918d2b083c456d8cf234c"},
{file = "boto3-1.35.82.tar.gz", hash = "sha256:2bbaf1551b1ed55770cb437d7040f1abe6742601103695057b30ce6328eef286"},
{file = "boto3-1.35.78-py3-none-any.whl", hash = "sha256:5ef7166fe5060637b92af8dc152cd7acecf96b3fc9c5456706a886cadb534391"},
{file = "boto3-1.35.78.tar.gz", hash = "sha256:fc8001519c8842e766ad3793bde3fbd0bb39e821a582fc12cf67876b8f3cf7f1"},
]
[package.dependencies]
botocore = ">=1.35.82,<1.36.0"
botocore = ">=1.35.78,<1.36.0"
jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0"
@@ -572,13 +572,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]]
name = "botocore"
version = "1.35.82"
version = "1.35.78"
description = "Low-level, data-driven core of boto 3."
optional = false
python-versions = ">=3.8"
files = [
{file = "botocore-1.35.82-py3-none-any.whl", hash = "sha256:e43b97d8cbf19d35ce3a177f144bd97cc370f0a67d0984c7d7cf105ac198748f"},
{file = "botocore-1.35.82.tar.gz", hash = "sha256:78dd7bf8f49616d00073698d7bbaf5a115208fe730b7b7afae4456adddb3552e"},
{file = "botocore-1.35.78-py3-none-any.whl", hash = "sha256:41c37bd7c0326f25122f33ec84fb80fc0a14d7fcc9961431b0e57568e88c9cb5"},
{file = "botocore-1.35.78.tar.gz", hash = "sha256:6905036c25449ae8dba5e950e4b908e4b8a6fe6b516bf61e007ecb62fa21f323"},
]
[package.dependencies]
@@ -1632,13 +1632,13 @@ files = [
[[package]]
name = "fastapi"
version = "0.115.6"
version = "0.115.5"
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
optional = false
python-versions = ">=3.8"
files = [
{file = "fastapi-0.115.6-py3-none-any.whl", hash = "sha256:e9240b29e36fa8f4bb7290316988e90c381e5092e0cbe84e7818cc3713bcf305"},
{file = "fastapi-0.115.6.tar.gz", hash = "sha256:9ec46f7addc14ea472958a96aae5b5de65f39721a46aaf5705c480d9a8b76654"},
{file = "fastapi-0.115.5-py3-none-any.whl", hash = "sha256:596b95adbe1474da47049e802f9a65ab2ffa9c2b07e7efee70eb8a66c9f2f796"},
{file = "fastapi-0.115.5.tar.gz", hash = "sha256:0e7a4d0dc0d01c68df21887cce0945e72d3c48b9f4f79dfe7a7d53aa08fbb289"},
]
[package.dependencies]
@@ -2175,13 +2175,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
[[package]]
name = "google-api-python-client"
version = "2.155.0"
version = "2.154.0"
description = "Google API Client Library for Python"
optional = false
python-versions = ">=3.7"
files = [
{file = "google_api_python_client-2.155.0-py2.py3-none-any.whl", hash = "sha256:83fe9b5aa4160899079d7c93a37be306546a17e6686e2549bcc9584f1a229747"},
{file = "google_api_python_client-2.155.0.tar.gz", hash = "sha256:25529f89f0d13abcf3c05c089c423fb2858ac16e0b3727543393468d0d7af67c"},
{file = "google_api_python_client-2.154.0-py2.py3-none-any.whl", hash = "sha256:a521bbbb2ec0ba9d6f307cdd64ed6e21eeac372d1bd7493a4ab5022941f784ad"},
{file = "google_api_python_client-2.154.0.tar.gz", hash = "sha256:1b420062e03bfcaa1c79e2e00a612d29a6a934151ceb3d272fe150a656dc8f17"},
]
[package.dependencies]
@@ -2249,13 +2249,13 @@ tool = ["click (>=6.0.0)"]
[[package]]
name = "google-cloud-aiplatform"
version = "1.74.0"
version = "1.73.0"
description = "Vertex AI API client library"
optional = false
python-versions = ">=3.8"
files = [
{file = "google_cloud_aiplatform-1.74.0-py2.py3-none-any.whl", hash = "sha256:7f37a835e543a4cb4b62505928b983e307c5fee6d949f831cd3804f03c753d87"},
{file = "google_cloud_aiplatform-1.74.0.tar.gz", hash = "sha256:2202e4e0cbbd2db02835737a1ae9a51ad7bf75c8ed130a3fdbcfced33525e3f0"},
{file = "google_cloud_aiplatform-1.73.0-py2.py3-none-any.whl", hash = "sha256:6f9aebc1cb2277048093f17214c5f4ec9129fa347b8b22d784f780b12b8865a9"},
{file = "google_cloud_aiplatform-1.73.0.tar.gz", hash = "sha256:687d4d6dd26439db42d38b835ea0da7ebb75c20ca8e17666669536b253637e74"},
]
[package.dependencies]
@@ -2279,7 +2279,7 @@ endpoint = ["requests (>=2.28.1)"]
evaluation = ["pandas (>=1.0.0)", "tqdm (>=4.23.0)"]
full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
langchain = ["langchain (>=0.1.16,<0.4)", "langchain-core (<0.4)", "langchain-google-vertexai (<3)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)"]
langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.1.16,<0.4)", "langchain-core (<0.4)", "langchain-google-vertexai (<3)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<2.10)", "pytest-xdist"]
langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.1.16,<0.4)", "langchain-core (<0.4)", "langchain-google-vertexai (<3)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)", "pytest-xdist"]
lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
pipelines = ["pyyaml (>=5.3.1,<7)"]
@@ -2287,7 +2287,7 @@ prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<=0.114.0)", "httpx (>=0.23
private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "setuptools (<70.0.0)"]
ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "ray[train]", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
reasoningengine = ["cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<2.10)"]
reasoningengine = ["cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
testing = ["aiohttp", "bigframes", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
tokenization = ["sentencepiece (>=0.2.0)"]
@@ -3256,13 +3256,13 @@ files = [
[[package]]
name = "json-repair"
version = "0.31.0"
version = "0.30.2"
description = "A package to repair broken json strings"
optional = false
python-versions = ">=3.9"
files = [
{file = "json_repair-0.31.0-py3-none-any.whl", hash = "sha256:82a4f60a9a836ed12b103367477af96f94fc6a14310d70a06e5354c3eb287d11"},
{file = "json_repair-0.31.0.tar.gz", hash = "sha256:3539dbb1857fa2c64404e1cf3e53b091738e74fcf3f12762d4199a0e2af657f5"},
{file = "json_repair-0.30.2-py3-none-any.whl", hash = "sha256:824d7ab208f5daadf7925e362979870ba91f9a5e6242d59f7073c7171abe27b5"},
{file = "json_repair-0.30.2.tar.gz", hash = "sha256:aa244f0d91e81c9587b2b6981a5657a7d4fadb20051f74bc6110f1ca6a963fb9"},
]
[[package]]
@@ -3494,13 +3494,13 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
[[package]]
name = "jupyterlab"
version = "4.3.3"
version = "4.3.1"
description = "JupyterLab computational environment"
optional = false
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[package.dependencies]
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version = "7.1.1"
description = "Interfaces for Python"
optional = false
python-versions = ">=3.8"
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]
[package.dependencies]
@@ -10088,4 +10094,4 @@ testing = ["coverage[toml]", "zope.event", "zope.testing"]
[metadata]
lock-version = "2.0"
python-versions = "^3.12"
content-hash = "c770c2ef5342d40b2288168e983f40e9fc8d16ced074cf67586c7e923bb6f3f8"
content-hash = "7334dd947fe93756227b5fc8f86303852c5e9aaf8787cc35b0ce23fc1540df67"
+8 -7
View File
@@ -1,6 +1,6 @@
[tool.poetry]
name = "openhands-ai"
version = "0.15.3"
version = "0.15.2"
description = "OpenHands: Code Less, Make More"
authors = ["OpenHands"]
license = "MIT"
@@ -37,9 +37,9 @@ python-multipart = "*"
boto3 = "*"
minio = "^7.2.8"
gevent = "^24.2.1"
pyarrow = "18.1.0" # transitive dependency, pinned here to avoid conflicts
pyarrow = "18.0.0" # transitive dependency, pinned here to avoid conflicts
tenacity = "^8.5.0"
zope-interface = "7.2"
zope-interface = "7.1.1"
pathspec = "^0.12.1"
google-cloud-aiplatform = "*"
anthropic = {extras = ["vertex"], version = "*"}
@@ -60,11 +60,11 @@ whatthepatch = "^1.0.6"
protobuf = "^4.21.6,<5.0.0" # chromadb currently fails on 5.0+
opentelemetry-api = "1.25.0"
opentelemetry-exporter-otlp-proto-grpc = "1.25.0"
modal = ">=0.66.26,<0.69.0"
runloop-api-client = "0.11.0"
modal = "^0.66.26"
runloop-api-client = "0.10.0"
pygithub = "^2.5.0"
joblib = "*"
openhands-aci = "0.1.2"
openhands-aci = "^0.1.2"
python-socketio = "^5.11.4"
redis = "^5.2.0"
@@ -80,7 +80,7 @@ voyageai = "*"
llama-index-embeddings-voyageai = "*"
[tool.poetry.group.dev.dependencies]
ruff = "0.8.3"
ruff = "0.8.0"
mypy = "1.13.0"
pre-commit = "4.0.1"
build = "*"
@@ -107,6 +107,7 @@ jupyter_kernel_gateway = "*"
flake8 = "*"
opencv-python = "*"
[build-system]
build-backend = "poetry.core.masonry.api"
requires = [

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