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Fix: Use helpful typer and invoke for root cli commands #444
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Caution Review failedThe pull request is closed. WalkthroughReplaces local HelpfulTyperGroup with a shared implementation in Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant User
participant App as Typer App
participant Group as HelpfulTyperGroup
participant Cmd as Command
participant UX as print_error / logger
User->>App: invoke CLI with args
App->>Group: resolve_command(args)
alt UsageError / command not found
Group-->>User: show help + print usage error
Group-->>App: exit(2)
else Command resolved
App->>Group: invoke(ctx)
Group->>Cmd: execute()
alt raises CLIError
Cmd-->>Group: CLIError
Group->>UX: log & print_error()
Group-->>App: exit(error.exit_code)
else raises other Exception
Cmd-->>Group: Exception
Group->>UX: log & print_error()
Group-->>App: exit(1)
else Success
Cmd-->>Group: return
Group-->>App: finish
end
end
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Possibly related PRs
Suggested reviewers
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Thank you!
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Actionable comments posted: 1
Caution
Some comments are outside the diff and can’t be posted inline due to platform limitations.
⚠️ Outside diff range comments (1)
src/mcp_agent/cli/cloud/main.py (1)
197-203: Pipeline failure: undefined nameprint_errorinrun().
print_erroris used but not imported, causing F821 and breaking CI.Add the missing import (see next comment for diff).
🧹 Nitpick comments (1)
src/mcp_agent/cli/utils/typer_utils.py (1)
16-31: Send help to stderr on usage errors.Direct the help text to stderr to match common CLI conventions when a usage error occurs.
- click.echo(ctx.get_help()) + click.echo(ctx.get_help(), err=True)
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Review profile: CHILL
Plan: Pro
📒 Files selected for processing (3)
src/mcp_agent/cli/cloud/main.py(1 hunks)src/mcp_agent/cli/main.py(1 hunks)src/mcp_agent/cli/utils/typer_utils.py(1 hunks)
🧰 Additional context used
🧬 Code graph analysis (3)
src/mcp_agent/cli/utils/typer_utils.py (2)
src/mcp_agent/cli/exceptions.py (1)
CLIError(4-9)src/mcp_agent/cli/utils/ux.py (1)
print_error(80-91)
src/mcp_agent/cli/main.py (1)
src/mcp_agent/cli/utils/typer_utils.py (1)
HelpfulTyperGroup(13-40)
src/mcp_agent/cli/cloud/main.py (1)
src/mcp_agent/cli/utils/typer_utils.py (1)
HelpfulTyperGroup(13-40)
🪛 GitHub Actions: Pull Request Checks
src/mcp_agent/cli/cloud/main.py
[error] 202-202: F821 Undefined name print_error (undefined name) in code. Ensure 'print_error' is defined or imported.
🔇 Additional comments (2)
src/mcp_agent/cli/main.py (1)
34-42: Good move: root CLI now uses the helpful invoke wrapper.Using
cls=HelpfulTyperGroupaligns top-level error UX with cloud subcommands.src/mcp_agent/cli/cloud/main.py (1)
39-39: Add missingprint_errorimport
Insrc/mcp_agent/cli/cloud/main.py(around line 39), add:from mcp_agent.cli.utils.typer_utils import HelpfulTyperGroup +from mcp_agent.cli.utils.ux import print_errorThis ensures the call to
print_errorinrun()is defined.
| def invoke(self, ctx): | ||
| try: | ||
| return super().invoke(ctx) | ||
| except CLIError as e: | ||
| # Handle CLIError cleanly - show error message and exit | ||
| logging.error(f"CLI error: {str(e)}") | ||
| print_error(str(e)) | ||
| ctx.exit(e.exit_code) No newline at end of file |
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🛠️ Refactor suggestion
Avoid double-logging and handle unexpected exceptions here for consistent UX.
Prevents duplicate log lines and ensures unhandled exceptions are rendered cleanly across all CLIs without per-file wrappers.
def invoke(self, ctx):
try:
return super().invoke(ctx)
except CLIError as e:
- # Handle CLIError cleanly - show error message and exit
- logging.error(f"CLI error: {str(e)}")
- print_error(str(e))
- ctx.exit(e.exit_code)
+ # Expected CLI errors: log once and print cleanly
+ logging.error(str(e))
+ print_error(str(e), log=False)
+ ctx.exit(e.exit_code)
+ except Exception as e:
+ # Unexpected errors: include traceback in logs, concise console message
+ logging.exception("Unhandled exception in CLI")
+ print_error(f"An unexpected error occurred: {e}", log=False)
+ ctx.exit(1)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| def invoke(self, ctx): | |
| try: | |
| return super().invoke(ctx) | |
| except CLIError as e: | |
| # Handle CLIError cleanly - show error message and exit | |
| logging.error(f"CLI error: {str(e)}") | |
| print_error(str(e)) | |
| ctx.exit(e.exit_code) | |
| def invoke(self, ctx): | |
| try: | |
| return super().invoke(ctx) | |
| except CLIError as e: | |
| # Expected CLI errors: log once and print cleanly | |
| logging.error(str(e)) | |
| print_error(str(e), log=False) | |
| ctx.exit(e.exit_code) | |
| except Exception as e: | |
| # Unexpected errors: include traceback in logs, concise console message | |
| logging.exception("Unhandled exception in CLI") | |
| print_error(f"An unexpected error occurred: {e}", log=False) | |
| ctx.exit(1) |
🤖 Prompt for AI Agents
In src/mcp_agent/cli/utils/typer_utils.py around lines 33 to 40, the current
invoke() handler logs CLIError via logging.error and also prints the error which
can produce duplicate messages and it doesn't handle unexpected exceptions;
change it so the CLIError branch only prints a user-facing message
(print_error(str(e))) and exits with ctx.exit(e.exit_code) (remove the
logging.error call to avoid double-logging), and add a second broad except
Exception as e that calls logging.exception("Unhandled CLI exception") to
capture the traceback, prints a concise user-facing message (e.g.
print_error("Unexpected error occurred")) and exits with a non-zero code
(ctx.exit(1)).
* Temporarily exclude CLI from test coverage (#429) ### TL;DR Exclude CLI code from test coverage metrics for now. Will add tests when we're done sprinting 10000 mph  <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Tests** * Adjusted test coverage collection to exclude non-critical CLI components, resulting in more accurate coverage metrics for core functionality. * **Chores** * Updated coverage reporting configuration to align with the new exclusion rules, ensuring consistent results across local and CI runs. <!-- end of auto-generated comment: release notes by coderabbit.ai --> * Add workflow commands to CLI (#424) ### TL;DR Added workflow management commands to the MCP Agent CLI, including describe, suspend, resume, and cancel operations. ### What changed? - Added four new workflow management commands: - `describe_workflow`: Shows detailed information about a workflow execution - `suspend_workflow`: Pauses a running workflow execution - `resume_workflow`: Resumes a previously suspended workflow - `cancel_workflow`: Permanently stops a workflow execution - Implemented corresponding API client methods in `WorkflowAPIClient`: - `suspend_workflow` - `resume_workflow` - `cancel_workflow` - Updated the CLI structure to expose these commands under `mcp-agent cloud workflows` - Added an alias for `describe_workflow` as `status` for backward compatibility ### How to test? Test the new workflow commands with a running workflow: ``` # Get workflow details mcp-agent cloud workflows describe run_abc123 mcp-agent cloud workflows status run_abc123 # alias # Suspend a workflow mcp-agent cloud workflows suspend run_abc123 # Resume a workflow (with optional payload) mcp-agent cloud workflows resume run_abc123 mcp-agent cloud workflows resume run_abc123 --payload '{"data": "value"}' # Cancel a workflow (with optional reason) mcp-agent cloud workflows cancel run_abc123 mcp-agent cloud workflows cancel run_abc123 --reason "User requested cancellation" ``` ### Why make this change? These commands provide essential workflow lifecycle management capabilities to users, allowing them to monitor and control workflow executions through the CLI. The ability to suspend, resume, and cancel workflows gives users more control over long-running operations and helps manage resources more efficiently. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - New Features - Introduced “workflows” CLI group with commands: describe (alias: status), resume, suspend, and cancel. - Describe supports text, JSON, and YAML output; all commands work with server ID or URL and include improved error messages. - Refactor - Renamed CLI group from “workflow” to “workflows” and reorganized command registrations. - Consolidated internal utility imports (no behavior change). - Chores - Updated module descriptions. - Removed legacy workflow status package/exports in favor of the new workflows commands. <!-- end of auto-generated comment: release notes by coderabbit.ai --> * add servers workflow subcommand (#428) # Add servers workflows subcommand This PR adds a new `workflows` subcommand to the `mcp-agent cloud servers` command that allows users to list workflows associated with a specific server. The command supports: - Filtering by workflow status - Limiting the number of results - Multiple output formats (text, JSON, YAML) - Accepting server IDs, app config IDs, or server URLs as input Examples: ``` mcp-agent cloud servers workflows app_abc123 mcp-agent cloud servers workflows https://server.example.com --status running mcp-agent cloud servers workflows apcnf_xyz789 --limit 10 --format json ``` The PR also cleans up the examples in the existing workflow commands and adds the necessary API client support for listing workflows. * add workflow list and runs (#430) ### TL;DR Reorganized workflow commands `mcp-agent cloud workflows runs` `mcp-agent cloud workflows list` `mcp-agent cloud server workflows` (alias of workflows list) ### What changed? - Moved `list_workflows_for_server` from the servers module to the workflows module as `list_workflow_runs` - Added new workflow commands: `list_workflows` and `list_workflow_runs` - Updated CLI command structure to make workflows commands more intuitive - Applied consistent code formatting with black across all server and workflow related files ### How to test? Test the new and reorganized workflow commands: ```bash # List available workflow definitions mcp-agent cloud workflows list app_abc123 # List workflow runs (previously under servers workflows) mcp-agent cloud workflows runs app_abc123 # Test with different output formats mcp-agent cloud workflows list app_abc123 --format json mcp-agent cloud workflows runs app_abc123 --format yaml # Verify existing commands still work mcp-agent cloud servers list mcp-agent cloud workflows describe app_abc123 run_xyz789 ``` * [ez] Move deploy command to cloud namespace (#431) ### TL;DR Added `cloud deploy` command as an alias for the existing `deploy` command. * First pass at implementing the mcp-agent CLI (#409) * Initial scaffolding * initial CLI * checkpoint * checkpoint 2 * various updates to cli * fix lint and format * fix: should load secrets.yaml template instead when running init cli command * fix: prevent None values in either mcp-agent secrets and config yaml files from overwriting one another when merging both * fix: when running config check, use get_settings() instead of Settings() to ensure settings are loaded. * fix: handle None values for servers in MCPSettings so it defaults to empty dict and update secrets.yaml template so it does not overwrite mcp servers in config * Inform users to save and close editor to continue when running config edit command * fix: Update openai, anthropic and azure regex for keys cli command * Sort model list by provider and model name * Add filtering support for models list cli command * disable untested commands * lint, format, gen_schema * get rid of accidental otlp exporter changes from another branch * get rid of accidental commit from other branch --------- Co-authored-by: StreetLamb <[email protected]> * Docs MVP (#436) * Initial scaffolding * initial CLI * checkpoint * checkpoint 2 * various updates to cli * fix lint and format * fix: should load secrets.yaml template instead when running init cli command * fix: prevent None values in either mcp-agent secrets and config yaml files from overwriting one another when merging both * fix: when running config check, use get_settings() instead of Settings() to ensure settings are loaded. * fix: handle None values for servers in MCPSettings so it defaults to empty dict and update secrets.yaml template so it does not overwrite mcp servers in config * Inform users to save and close editor to continue when running config edit command * fix: Update openai, anthropic and azure regex for keys cli command * Sort model list by provider and model name * Add filtering support for models list cli command * disable untested commands * Fixes to docs * Updating the main.py and !developer_secrets for secrets * updating python entry files to main.py * Fix tracer.py --------- Co-authored-by: StreetLamb <[email protected]> Co-authored-by: Andrew Hoh <[email protected]> * fix: max complete token for openai gen structured (#438) * Fix regression in CLI ("cloud cloud") * docs fixes * Fix top-level cli cloud commands (deploy, login, etc) * Add eager tool validation to ensure json serializability of input params/result types * More docs updates * Refactor workflow runs list to use MCP tool calls (#439) ### TL;DR Refactored the workflow runs listing command to use MCP tool calls instead of direct API client calls. ### What changed? - Replaced the direct API client approach with MCP tool calls to retrieve workflow runs - Added a new `_list_workflow_runs_async` function that uses the MCP App and gen_client to communicate with the server - Improved status filtering and display logic to work with both object and dictionary response formats - Enhanced error handling and formatting of workflow run information - Updated the workflow data processing to handle different response formats more robustly ### How to test? ```bash # List workflow runs from a server mcp-agent cloud workflows runs <server_id_or_url> # Filter by status mcp-agent cloud workflows runs <server_id_or_url> --status running # Limit results mcp-agent cloud workflows runs <server_id_or_url> --limit 10 # Change output format mcp-agent cloud workflows runs <server_id_or_url> --format json ``` <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - New Features - Add status filtering for workflow runs, with common aliases (e.g., timeout → timed_out). - Add an optional limit to constrain the number of results. - Allow server selection via direct URL or config-based server ID. - Refactor - Update text output: columns now show Workflow ID, Name, Status, Run ID, Created; Principal removed. - Improve date formatting and consistent JSON/YAML/Text rendering. - Bug Fixes - Clearer error messages and safer handling when server info is missing or no data is returned. <!-- end of auto-generated comment: release notes by coderabbit.ai --> * Update workflows commands UI to be more consistant with the rest of the CLI (#432) ### TL;DR Improved CLI workflow command output formatting with better visual indicators and consistent styling. ### How to test? ``` mcp-agent cloud workflows cancel <run-id> mcp-agent cloud workflows describe <run-id> mcp-agent cloud workflows resume <run-id> ``` <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Style** * Cancel workflow: added a blank line before the status and changed the success icon to 🚫 (yellow). * Describe workflow: replaced panel UI with a clean, header-based text layout (“🔍 Workflow Details”), showing name with colorized status and fields for Workflow ID, Run ID, and Created. Updated status indicators with emojis and colors; timestamp is now plain text on its own line. * Resume workflow: success message now applies consistent coloring to the entire line for improved readability. <!-- end of auto-generated comment: release notes by coderabbit.ai --> * Feature: Update Workflow Tool Calls to Work with workflow_id (#435) * Support for workflow_id and run_id * Update temporal workflow registry * tests * Update LLMS.txt * Fix config * Return bool for cancel result * Validate ids provided * Fix cancel workflow id * Fix workflows-resume response * Add workflow-name specific resume and cancel tools * Fix return type * Fix examples * Remove redundant workflows-{name}-tool tool calls * Add _workflow_status back * Use registry helper * Changes from review * Add back evaluator_optimizer enum fix * Fix a hang that can happen at shutdown (#440) * Fix a shutdown hang * Fix tests * fix taskgroup closed in a different context than when it was started in error * some PR feedback fixes * PR feedback * Fix random failures of server aggregator not found for agent in temporal (#441) * Fix a shutdown hang * Fix tests * fix taskgroup closed in a different context than when it was started in error * some PR feedback fixes * Fix random failures of server aggregator not found for agent in temporal environment * Bump pyproject version * Fix gateway URL resolution (#443) * Fix gateway URL resolution Removed incorrect dependence on ServerRegistry for gateway URLs; the gateway is not an MCP server. App server (src/mcp_agent/server/app_server.py) builds workflow memo with: - gateway_url precedence: X-MCP-Gateway-URL or X-Forwarded-Url → reconstruct X-Forwarded-Proto/Host/Prefix → request.base_url → MCP_GATEWAY_URL env. - gateway_token precedence: X-MCP-Gateway-Token → MCP_GATEWAY_TOKEN env. Worker-side (SystemActivities/SessionProxy) uses memo.gateway_url and gateway_token; falls back to worker env. Client proxy helpers (src/mcp_agent/mcp/client_proxy.py): - _resolve_gateway_url: explicit param → context → env → local default. - Updated public signatures to drop server_registry parameter. * Cloud/deployable temporal example (#395) * Move workflows to workflows.py file * Fix router example * Add remaining dependencies * Update orchestrator to @app.async_tool example * Changes from review * Fix interactive_workflow to be runnable via tool * Fix resume tool params * Fix: Use helpful typer and invoke for root cli commands (#444) * Use helpful typer and invoke for root cli commands * Fix lint * Fix enum check (#445) * Fix/swap relative mcp agent dependency on deploy (#446) * Update wrangler wrapper to handle requirements.txt processing * Fix backup handling * pass api key to workflow (#447) * pass api key to workflow * guard against settings not existing --------- Co-authored-by: John Corbett <[email protected]> Co-authored-by: Sarmad Qadri <[email protected]> Co-authored-by: StreetLamb <[email protected]> Co-authored-by: Yi <[email protected]> Co-authored-by: Ryan Holinshead <[email protected]> Co-authored-by: roman-van-der-krogt <[email protected]>
Description
Currently, the top-level CLI commands surface exceptions using typer's default UX of pretty-printing the stack trace with local variables and other things.
Ex (on main):
Cloud CLI commands already nicely handle known/expected CLIError exceptions:
To fix, use the same helpful typer with invoke wrapper for the CLI commands.
Testing
Summary by CodeRabbit
New Features
Refactor