How do I debug a FastAPI `uv install` command that seems to hang indefinitely?

Run your `uv install` command through `atlas bash`. Atlas will time out the command and tell you if it's genuinely slow or silently blocked on interactive input. If blocked, re-run with `uv install --no-input` to bypass prompts.

My `pytest` tests with `httpx AsyncClient` are taking too long; how can Atlas help diagnose this in FastAPI?

Execute your `pytest` command via `atlas bash 'pytest tests/'`. If it times out, Atlas will indicate if it's waiting for input or genuinely slow. For slowness, Atlas will suggest increasing the timeout, e.g., `atlas bash --timeout 120000 'pytest tests/'` for 120 seconds.

Can Atlas help me understand why my FastAPI application's `ruff format` command is slow?

Yes, run `atlas bash 'ruff format .'` to execute it through Atlas. If it times out, Atlas will diagnose whether `ruff format` is genuinely slow or if there's an underlying issue causing it to block, guiding you to either increase the timeout or investigate further.

What if Atlas suggests a change to my FastAPI `pyproject.toml` file? Is it safe?

Atlas always computes a unified diff for any proposed file edits, including `pyproject.toml` or `main.py`. You must explicitly approve this diff before Atlas writes any changes, ensuring full control and safety over your FastAPI project's configuration.

How does Atlas distinguish between a slow FastAPI script and one waiting for user input?

Atlas's `bash` tool races commands against a timeout. If a command expires, the `shell_metadata` block in Atlas's output explicitly states if it was 'likely waiting for interactive input,' providing a clear diagnosis for your FastAPI scripts and tooling.

Can Atlas help with FastAPI dependency resolution issues that cause `uv` to hang?

While Atlas doesn't directly resolve dependency conflicts, it diagnoses *why* `uv` might hang during resolution. If `uv` is prompting for input (e.g., to confirm a version downgrade), Atlas will identify this, allowing you to re-run `uv install --no-input` or address the conflict manually.

Diagnose a Hanging or Long-Running Command in FastAPI with Atlas in 2026

Atlas helps FastAPI developers in 2026 quickly diagnose whether a `uv` build, `pytest` test suite, or any other script is genuinely slow or silently blocked on input, providing clear guidance to get unstuck. By integrating directly with your FastAPI project's `pyproject.toml` and leveraging its `bash` tool, Atlas monitors command execution, identifies interactive input blocks, and suggests precise remedies, ensuring your development workflow remains efficient and unhindered.

How Atlas Diagnoses Hanging FastAPI Commands in 2026

In 2026, Atlas provides FastAPI developers with a robust mechanism to diagnose hanging or long-running commands by racing every execution against a configurable timeout. Its `bash` tool, a core Atlas capability, monitors processes like `uv` installs or `pytest` runs, and if a command exceeds its 30-second default limit, Atlas delivers a precise diagnosis, indicating whether it's genuinely slow or blocked on interactive input.

Atlas's `bash` tool is central to diagnosing command execution within your FastAPI projects. When you execute a command such as `uv install` to manage dependencies or `pytest tests/` to run your `httpx AsyncClient` tests through Atlas, it wraps the execution, monitoring its progress. Should the command exceed its configured timeout, Atlas's output includes a `shell_metadata` block that explicitly states the reason for termination. This feature is particularly valuable for FastAPI developers, as complex dependency resolution with `uv` or extensive test suites can sometimes appear to hang without clear feedback. Atlas's ability to index code by AST declarations using tree-sitter means it understands the structure of your FastAPI application, including Pydantic v2 models and `Depends()` injections. This deep contextual awareness allows Atlas to provide more relevant diagnostic insights, helping to differentiate between a genuinely slow operation and one silently waiting for interactive input, a common source of frustration in automated environments or CI/CD pipelines.

Identifying Blocked Input in FastAPI Tooling with Atlas

Atlas excels at identifying when FastAPI-related commands, such as `uv` for package management or `pytest` for testing, are silently blocked on interactive input rather than genuinely slow. When Atlas's `bash` tool detects a timeout, its output's `shell_metadata` block will explicitly state that the command was likely waiting for user input, a diagnosis that saves developers countless hours in 2026.

The `shell_metadata` block in Atlas's output is the key to understanding why a FastAPI command has stalled. Atlas provides a clear distinction: a message like 'command was killed due to timeout' indicates genuine slowness, while 'command was killed due to timeout, likely waiting for interactive input' pinpoints a silent block. This distinction is critical for FastAPI developers. For example, if `uv install` hangs, Atlas will inform you if it's waiting for a `y/n` confirmation regarding a dependency conflict. Similarly, if a `pytest` run, especially one involving `httpx AsyncClient` for API testing, appears stuck, Atlas can help determine if a custom fixture or a setup script is prompting for input. This immediate and explicit feedback from Atlas prevents wasted time spent debugging performance when the actual issue is simply a missing non-interactive flag or an unexpected prompt within your FastAPI project's tooling.

Resolving Slow or Blocked FastAPI Commands with Atlas

Once Atlas diagnoses a hanging FastAPI command, it provides clear, actionable steps to resolve the issue, whether it's a genuinely slow `uv` build or a `pytest` run blocked on input. If Atlas indicates a command is waiting for interactive input, the solution is to re-run it with non-interactive flags like `--no-input` or `-y`, a common fix for 90% of such cases.

Atlas's diagnosis leads directly to effective resolution strategies for your FastAPI commands. If the `shell_metadata` block indicates 'likely waiting for interactive input,' the solution is to re-run the command with appropriate non-interactive flags. For instance, if `uv install` was blocked, you would use `atlas bash 'uv install --no-input'`. If a custom script within your FastAPI project, perhaps one used by `pytest`, is prompting for input, you would need to modify that script or provide necessary environment variables to bypass the prompt. Conversely, if Atlas's `shell_metadata` simply reports a timeout without mentioning interactive input, it signifies that the command is genuinely taking a long time. In this scenario, Atlas will instruct you to 'retry with a larger timeout value in milliseconds.' For example, if your `pytest` suite with `httpx AsyncClient` tests consistently exceeds the default timeout, Atlas might suggest `atlas bash --timeout 120000 'pytest tests/'` to allow 120 seconds for completion. This iterative, Atlas-guided approach helps you efficiently optimize the execution of complex FastAPI operations and tooling.

Ensuring Safety and Review in FastAPI Projects with Atlas

Atlas prioritizes safety and developer control when diagnosing and resolving issues within FastAPI projects, ensuring every action is transparent and approved. Before any Atlas tool call, including those for diagnosing hanging commands or applying fixes, it's permission-gated against allow, ask, and deny rules, providing a crucial layer of security for your `main.py` and `pyproject.toml` files in 2026.

Atlas integrates robust safety features to maintain developer control over your FastAPI codebase. Every Atlas tool call, whether it's `bash` for executing commands like `uv install` or `read` for inspecting your `main.py` or `pyproject.toml`, is permission-gated. This allows you to configure Atlas to always ask for explicit approval before running certain operations or to deny them entirely, safeguarding your project's integrity. Furthermore, Atlas operates with a clear separation between planning and execution: it first drafts a plan in a read-only plan agent and seeks your approval before switching to a build agent to implement any changes. This applies even when Atlas suggests re-running a command with different flags or modifying configuration files. For any proposed file edits, such as adjusting a `pyproject.toml` or a test file, Atlas computes a unified diff and presents it for your review and approval before writing. This ensures that all modifications to your FastAPI application's Pydantic models, `APIRouter` includes, or `Depends()` definitions are fully transparent. Atlas also reads git branches, status, and diffs, and can stage and create commits on your behalf, providing a comprehensive safety net with snapshotting capabilities for rolling back edits.

Step by step

01Run Atlas in your FastAPI project, ensuring a `pyproject.toml` and a `main.py` that instantiates FastAPI() are present.
02Execute your potentially hanging FastAPI command through Atlas's `bash` tool, for example: `atlas bash 'uv install --sync'` or `atlas bash 'pytest tests/api/'`.
03If the command times out, examine the `shell_metadata` block in Atlas's output to determine if it explicitly states 'likely waiting for interactive input'.
04If the command was blocked on input, re-run it with non-interactive flags. For `uv`, try `atlas bash 'uv install --sync --no-input'`. For `pytest`, adjust any prompting fixtures or scripts.
05If the command was genuinely slow, retry it with a larger timeout value, as instructed by Atlas. For example, `atlas bash --timeout 90000 'pytest tests/api/'` for 90 seconds.
06If Atlas proposes any file changes (e.g., to a test file or `pyproject.toml`), review the unified diff and approve it before Atlas writes the changes.
07After resolving the issue, let Atlas run `ruff format` and `ruff check --fix` to maintain code quality, approving the diffs as needed.

Frequently asked questions

How do I debug a FastAPI `uv install` command that seems to hang indefinitely?: Run your `uv install` command through `atlas bash`. Atlas will time out the command and tell you if it's genuinely slow or silently blocked on interactive input. If blocked, re-run with `uv install --no-input` to bypass prompts.
My `pytest` tests with `httpx AsyncClient` are taking too long; how can Atlas help diagnose this in FastAPI?: Execute your `pytest` command via `atlas bash 'pytest tests/'`. If it times out, Atlas will indicate if it's waiting for input or genuinely slow. For slowness, Atlas will suggest increasing the timeout, e.g., `atlas bash --timeout 120000 'pytest tests/'` for 120 seconds.
Can Atlas help me understand why my FastAPI application's `ruff format` command is slow?: Yes, run `atlas bash 'ruff format .'` to execute it through Atlas. If it times out, Atlas will diagnose whether `ruff format` is genuinely slow or if there's an underlying issue causing it to block, guiding you to either increase the timeout or investigate further.
What if Atlas suggests a change to my FastAPI `pyproject.toml` file? Is it safe?: Atlas always computes a unified diff for any proposed file edits, including `pyproject.toml` or `main.py`. You must explicitly approve this diff before Atlas writes any changes, ensuring full control and safety over your FastAPI project's configuration.
How does Atlas distinguish between a slow FastAPI script and one waiting for user input?: Atlas's `bash` tool races commands against a timeout. If a command expires, the `shell_metadata` block in Atlas's output explicitly states if it was 'likely waiting for interactive input,' providing a clear diagnosis for your FastAPI scripts and tooling.
Can Atlas help with FastAPI dependency resolution issues that cause `uv` to hang?: While Atlas doesn't directly resolve dependency conflicts, it diagnoses *why* `uv` might hang during resolution. If `uv` is prompting for input (e.g., to confirm a version downgrade), Atlas will identify this, allowing you to re-run `uv install --no-input` or address the conflict manually.

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