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* feat(cli): introduce JSON crew project support and TUI enhancements - Added support for creating and running JSON-defined crew projects, allowing users to scaffold projects with a new `create_json_crew.py` file. - Implemented a full-screen Textual TUI for crew execution in `crew_run_tui.py`, enhancing user interaction with a two-column layout. - Updated `run_crew.py` to prioritize JSON crew projects and added daemon mode for running without TUI. - Introduced interactive pickers in `tui_picker.py` for improved CLI prompts. - Enhanced validation for JSON crew files in `validate.py` to ensure proper structure and agent definitions. - Updated `.gitignore` to exclude demo and crewai directories. * feat: update LLM model references to gpt-5.4-mini - Changed default LLM model from gpt-4o-mini to gpt-5.4-mini across various files, including CLI options, JSON crew configurations, and agent definitions. - Enhanced benchmark and human feedback functionalities to utilize the new model. - Improved user interface elements in the TUI for better interaction and feedback during execution. - Added support for new skills directory in JSON crew project creation. * feat(benchmark): add crew-level benchmarking functionality - Introduced a new `benchmark` command in the CLI for crew-level benchmarking, allowing users to specify agents, models, and timeout settings. - Implemented `CrewBenchmarkCase` to handle crew-level benchmark cases with inputs and criteria. - Enhanced the benchmark runner to support progress tracking and detailed reporting of results for multiple models. - Added tests for loading crew benchmark cases and validating their structure. - Updated existing benchmark functions to accommodate the new crew-level execution model. * feat(cli): enhance JSON crew project functionality and TUI improvements - Added optional agent-level guardrails and advanced options in JSON crew configurations to improve output validation and flexibility. - Updated the TUI to better handle plan step statuses, including visual indicators for task completion and failure. - Introduced methods for parsing and managing step observation events, ensuring accurate updates to task statuses during execution. - Enhanced validation for JSON crew projects, ensuring proper structure and error handling for agent and task definitions. - Added comprehensive tests for new features and validation logic, ensuring robustness in JSON crew project handling. * refactor(cli): streamline JSON crew project handling and improve validation - Refactored JSON crew project loading and validation logic to enhance clarity and maintainability. - Introduced utility functions for finding JSON crew files, improving code reuse across modules. - Removed deprecated benchmark functionality and associated tests to simplify the codebase. - Updated CLI commands to utilize the new JSON project structure, ensuring compatibility with recent changes. - Enhanced test coverage for JSON crew project features, ensuring robust validation and error handling. * feat(cli): enhance activity log navigation and focus management - Added functionality to focus on the activity log when navigating through log entries. - Implemented refresh logic for the log panel to ensure updates are displayed correctly during navigation. - Improved keyboard navigation for log entries, allowing users to expand and scroll through logs seamlessly. - Added tests to verify the correct behavior of log navigation and focus management in the TUI. * feat(cli): enhance JSON crew project interaction and input handling - Introduced a new function to enable prompt line editing for better user experience during input prompts. - Updated the JSON crew project wizards to show interpolation hints for dynamic values, improving user guidance. - Enhanced the handling of missing input placeholders by prompting users for required values during crew setup. - Refactored the crew run logic to ensure proper loading and preparation of JSON-defined crews, including runtime input management. - Added tests to verify the correct behavior of new input handling features and JSON crew project interactions. * feat(cli): improve crew project input prompts and event handling - Enhanced the `_prompt_text` function to allow for configurable spacing before prompts, improving user experience during input collection. - Updated the wizards for agent and task creation to utilize the new prompt configuration, ensuring a more compact and streamlined interaction. - Introduced new plan step lifecycle events (`PlanStepStartedEvent`, `PlanStepCompletedEvent`) to better track the execution status of plan steps. - Refactored the step executor to emit these events during the execution of tasks, improving observability and debugging capabilities. - Added tests to verify the correct behavior of new prompt handling and event emissions during crew project execution. * fix: refine json-first crew interactions * fix: prioritize common json crew tools * fix: make json crew more tools expandable * fix: show json crew tools by category * feat(memory): update default embedder to OpenAI text-embedding-3-large and enhance memory compatibility - Changed the default embedding model for Memory to OpenAI text-embedding-3-large, which uses 3072-dimensional vectors. - Added warnings regarding compatibility issues with existing local memory stores created with 1536-dimensional embeddings. - Updated documentation to reflect the new default embedder and its configuration options. - Enhanced the CLI and codebase to support the new embedding model across various components, ensuring a seamless transition for users. * fix: address PR review feedback for JSON-first crews Review blockers: - Forward trained_agents_file to JSON crews: crewai run -f now exports CREWAI_TRAINED_AGENTS_FILE for the in-process JSON crew path - Wizard agent picker: Esc/cancel now reprompts instead of silently assigning the first agent - JSON tool resolution hard-fails: unknown tool names, missing custom tool files, and invalid custom tool modules raise JSONProjectError with actionable messages instead of warn-and-continue - Embedding dimension mismatch: LanceDB and Qdrant Edge storages raise EmbeddingDimensionMismatchError with reset/pin guidance instead of silently zero-filling vectors or returning empty search results - Custom tool code execution documented in loader docstring and the scaffolded project README CI fixes: - ruff format across lib/ - All 133 PR-introduced mypy errors fixed (llm.py lazy-litellm and cli.py lazy command shims now use TYPE_CHECKING imports; textual is_mounted misuse fixed; pick_many overloads; misc annotations) Bot review comments: - Empty except blocks now have explanatory comments or debug logging - Removed unused _C_BG/_C_PANEL/_C_BORDER globals and redundant import re; tests use a single import style for create_json_crew Tests: trained-agents propagation, wizard cancel, tool resolution failures, and dimension mismatch guidance. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix: address second round of PR review comments Cursor Bugbot: - Wizard agent slugs: strip to [a-z0-9_] and fall back to agent_<n> so symbol-only roles can't produce an empty agents/.jsonc filename - Wizard task names: dedupe against prior task names and fall back to task_<n> for symbol-only descriptions CodeRabbit: - Agent.message(): import Task explicitly at runtime instead of relying on the namespace injection done by crewai/__init__ - Async executor: move the native-tools-unsupported fallback from _ainvoke_loop_react (self-recursion) to _ainvoke_loop_native_tools, mirroring the sync implementation - StepExecutor downgrade: keep the in-step conversation and append the text-tooling instructions instead of rebuilding messages, so completed native tool calls are not re-executed - crewai-files: extension-based MIME lookup now runs before byte sniffing so csv/xml types are not degraded to text/plain - Memory storages: validate every record in a save() batch against a consistent embedding dimension (LanceDB previously checked only the first record); added mixed-batch tests - _print_post_tui_summary now typed against CrewRunApp - Docs: Azure OpenAI default embedder change called out in the memory migration warning and provider table Code quality bots: - Removed unused _C_YELLOW/_C_CYAN (crew_run_tui) and _GREEN (tui_picker) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(cli): accordion tool picker in JSON crew wizard The flat tool list had grown to ~90 rows. The picker now shows: - Common tools always visible at the top - Every other category as a single expandable row with tool and selection counts (e.g. "Search & Research (27 tools, 2 selected)") - Expanding a category collapses the previously expanded one - Selections persist across expand/collapse via new preselected support in pick_many; cursor follows the toggled category row tui_picker gains preselected + initial_cursor options on pick_many, and Esc in multi-select now confirms the current selection instead of discarding it (required so collapsing can't silently drop choices). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * refactor(cli): remove --daemon flag from crewai run The flag only affected JSON crew projects — classic and flow projects ignored it entirely, which made the behavior inconsistent. Removed the option, the daemon code path (_run_json_crew_daemon), and its helper (_load_json_crew_with_inputs). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * test: update run command tests after --daemon removal lib/crewai/tests/cli/test_run_crew.py still asserted the old run_crew(trained_agents_file=..., daemon=False) call signature. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(cli): exit codes, mid-run quit, async statuses, hyphen placeholders Addresses the latest Bugbot review round: - Failed JSON crew runs now exit non-zero (SystemExit(1)) so scripts and CI don't treat failures as success, mirroring the classic path - Quitting the TUI mid-run now ends the process (os._exit(130)); kickoff runs in a thread worker that cannot be force-cancelled, so letting the CLI return would leave LLM/tool work burning tokens in the background - Sidebar task statuses are now async-safe: completion/failure events resolve the task's own row via identity instead of assuming the most recently started task, and starting a task no longer blanket-marks earlier active rows as done - The runtime-input prompt regex now accepts hyphenated placeholder names ({my-topic}), matching kickoff's interpolation pattern Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix: validation safety, custom tool sandboxing, TUI log integrity, memory error surfacing - Deploy validation no longer executes project code: validation mode checks tool declarations structurally (well-formed entries, custom tool file exists) without importing or instantiating anything. custom:<name> resolution only happens on the actual run path. - custom:<name> is constrained to [A-Za-z_][A-Za-z0-9_]* and the resolved path must stay inside the project's tools/ directory, so custom:../foo or absolute-path names cannot execute code outside it. Tool paths resolve relative to the crew project root, not cwd. - TUI task logs are built from per-task state captured at task start (idx, description, agent, start time); an out-of-order completion takes its output from the event and no longer steals or resets the current task's streamed steps/output. - EmbeddingDimensionMismatchError now inherits ValueError instead of RuntimeError so background saves surface it through MemorySaveFailedEvent instead of silently dropping the save; the shutdown catch in _background_encode_batch is narrowed to the "cannot schedule new futures" case. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(cli): declared project type wins over crew.json presence A flow project that also contains a crew.json(c) file now runs and validates as the flow it declares in pyproject.toml instead of being hijacked by the JSON crew path. Both crewai run (_has_json_crew) and deploy validation (_is_json_crew) check tool.crewai.type; a missing or unreadable pyproject still means a bare JSON crew project. Also documents why StepObservationFailedEvent intentionally marks the plan step "done": the event signals an observer failure, not a step failure, and the executor continues past it. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(cli): type the declared_type locals so mypy stays clean Comparing an Any-typed .get() chain returns Any, which tripped no-any-return on the previous commit. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
420 lines
12 KiB
Python
420 lines
12 KiB
Python
"""Arrow-key interactive pickers for CLI prompts."""
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from __future__ import annotations
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from contextlib import suppress
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import sys
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from typing import overload
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import click
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# CrewAI brand: primary=#FF5A50 (coral), teal=#1F7982
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_CORAL = "\033[38;2;255;90;80m" # #FF5A50
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_TEAL = "\033[38;2;31;121;130m" # #1F7982
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_BOLD = "\033[1m"
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_DIM = "\033[2m"
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_RESET = "\033[0m"
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_HIDE_CURSOR = "\033[?25l"
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_SHOW_CURSOR = "\033[?25h"
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def _is_interactive() -> bool:
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try:
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return sys.stdin.isatty() and sys.stdout.isatty()
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except Exception:
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return False
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def _read_key() -> str:
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if sys.platform == "win32":
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import msvcrt
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ch = msvcrt.getwch()
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if ch in ("\x00", "\xe0"):
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ch2 = msvcrt.getwch()
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return {"H": "up", "P": "down"}.get(ch2, "")
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if ch == "\r":
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return "enter"
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if ch == " ":
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return "space"
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if ch == "\x03":
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raise KeyboardInterrupt
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return ch
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import termios
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import tty
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fd = sys.stdin.fileno()
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old = termios.tcgetattr(fd)
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try:
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tty.setcbreak(fd)
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ch = sys.stdin.read(1)
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if ch == "\x1b":
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seq = sys.stdin.read(2)
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if seq == "[A":
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return "up"
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if seq == "[B":
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return "down"
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return "esc"
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if ch in ("\r", "\n"):
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return "enter"
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if ch == " ":
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return "space"
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if ch == "\x03":
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raise KeyboardInterrupt
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return ch
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finally:
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termios.tcsetattr(fd, termios.TCSADRAIN, old)
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def _clear_lines(n: int) -> None:
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sys.stdout.write(f"\033[{n}A")
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for _ in range(n):
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sys.stdout.write("\033[2K\n")
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sys.stdout.write(f"\033[{n}A")
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sys.stdout.flush()
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def _draw_single(labels: list[str], cursor: int, *, clear: bool = False) -> None:
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total = len(labels)
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if clear:
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sys.stdout.write(f"\033[{total}A")
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for i, label in enumerate(labels):
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if i == cursor:
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sys.stdout.write(f"\033[2K {_CORAL}→{_RESET} {_BOLD}{label}{_RESET}\n")
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else:
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sys.stdout.write(f"\033[2K {label}\n")
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sys.stdout.flush()
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def _draw_multi(
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labels: list[str],
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cursor: int,
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selected: set[int],
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*,
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action_indices: set[int] | None = None,
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separator_indices: set[int] | None = None,
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clear: bool = False,
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) -> None:
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action_indices = action_indices or set()
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separator_indices = separator_indices or set()
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hint_text = "↑↓ navigate, space toggle, enter confirm"
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if action_indices:
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hint_text = "↑↓ navigate, space toggle, enter confirm, ▸ rows expand/collapse"
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hint = f" {_DIM}{hint_text}{_RESET}"
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total = len(labels) + 1
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if clear:
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sys.stdout.write(f"\033[{total}A")
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sys.stdout.write(f"\033[2K{hint}\n")
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for i, label in enumerate(labels):
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if i in separator_indices:
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sys.stdout.write(f"\033[2K {_TEAL}{label}{_RESET}\n")
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continue
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if i in action_indices:
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check = " "
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elif i in selected:
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check = f"{_CORAL}[x]{_RESET}"
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else:
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check = "[ ]"
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arrow = f"{_CORAL}→{_RESET} " if i == cursor else " "
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bold = f"{_BOLD}{label}{_RESET}" if i == cursor else label
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sys.stdout.write(f"\033[2K {arrow}{check} {bold}\n")
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sys.stdout.flush()
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def _arrow_select_one(labels: list[str]) -> int:
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cursor = 0
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total = len(labels)
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sys.stdout.write(_HIDE_CURSOR)
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sys.stdout.flush()
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try:
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_draw_single(labels, cursor)
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while True:
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key = _read_key()
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if key == "up" and cursor > 0:
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cursor -= 1
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_draw_single(labels, cursor, clear=True)
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elif key == "down" and cursor < total - 1:
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cursor += 1
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_draw_single(labels, cursor, clear=True)
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elif key == "enter":
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_clear_lines(total)
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return cursor
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elif key in ("esc", "q"):
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_clear_lines(total)
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return -1
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finally:
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sys.stdout.write(_SHOW_CURSOR)
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sys.stdout.flush()
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def _arrow_select_multi(
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labels: list[str],
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*,
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action_indices: set[int] | None = None,
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separator_indices: set[int] | None = None,
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preselected: set[int] | None = None,
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initial_cursor: int | None = None,
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) -> tuple[list[int], int | None]:
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total = len(labels)
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selected: set[int] = set(preselected or ())
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action_indices = action_indices or set()
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separator_indices = separator_indices or set()
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if initial_cursor is not None and 0 <= initial_cursor < total:
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cursor = initial_cursor
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else:
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cursor = _first_selectable_index(total, separator_indices)
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sys.stdout.write(_HIDE_CURSOR)
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sys.stdout.flush()
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try:
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_draw_multi(
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labels,
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cursor,
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selected,
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action_indices=action_indices,
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separator_indices=separator_indices,
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)
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while True:
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key = _read_key()
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if key == "up":
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cursor = _next_selectable_index(cursor, -1, total, separator_indices)
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_draw_multi(
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labels,
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cursor,
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selected,
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action_indices=action_indices,
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separator_indices=separator_indices,
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clear=True,
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)
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elif key == "down":
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cursor = _next_selectable_index(cursor, 1, total, separator_indices)
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_draw_multi(
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labels,
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cursor,
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selected,
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action_indices=action_indices,
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separator_indices=separator_indices,
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clear=True,
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)
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elif key == "space":
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if cursor in action_indices:
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_clear_lines(total + 1)
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return sorted(selected), cursor
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selected ^= {cursor}
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_draw_multi(
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labels,
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cursor,
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selected,
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action_indices=action_indices,
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separator_indices=separator_indices,
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clear=True,
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)
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elif key == "enter":
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_clear_lines(total + 1)
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if cursor in action_indices:
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return sorted(selected), cursor
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return sorted(selected), None
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elif key in ("esc", "q"):
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_clear_lines(total + 1)
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return sorted(selected), None
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finally:
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sys.stdout.write(_SHOW_CURSOR)
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sys.stdout.flush()
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def _numbered_select(labels: list[str]) -> int:
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for idx, label in enumerate(labels, 1):
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click.echo(f" {idx}. {label}")
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click.echo()
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while True:
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choice = click.prompt(" Select", type=str, default="1")
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if choice.lower() == "q":
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return -1
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try:
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num = int(choice)
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if 1 <= num <= len(labels):
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return num - 1
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except ValueError:
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# Non-numeric input falls through to the shared error message.
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pass
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click.secho(f" Invalid choice. Enter 1-{len(labels)}.", fg="red")
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def _numbered_select_multi(
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labels: list[str],
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*,
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action_indices: set[int] | None = None,
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separator_indices: set[int] | None = None,
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preselected: set[int] | None = None,
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) -> tuple[list[int], int | None]:
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action_indices = action_indices or set()
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separator_indices = separator_indices or set()
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numbered_indices: list[int] = []
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for idx, label in enumerate(labels):
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if idx in separator_indices:
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click.secho(f" {label}", fg="cyan")
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continue
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numbered_indices.append(idx)
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click.echo(f" {len(numbered_indices)}. {label}")
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click.echo()
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raw = click.prompt(
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" Select (comma-separated numbers, or empty to skip)",
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default="",
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show_default=False,
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)
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if not raw.strip():
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return sorted(preselected or ()), None
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indices: list[int] = list(preselected or ())
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for part in raw.split(","):
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with suppress(ValueError):
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num = int(part.strip())
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if 1 <= num <= len(numbered_indices):
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idx = numbered_indices[num - 1]
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if idx in action_indices:
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return sorted(set(indices)), idx
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indices.append(idx)
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return sorted(set(indices)), None
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def _first_selectable_index(total: int, separator_indices: set[int]) -> int:
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for idx in range(total):
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if idx not in separator_indices:
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return idx
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return 0
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def _next_selectable_index(
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cursor: int,
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direction: int,
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total: int,
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separator_indices: set[int],
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) -> int:
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next_cursor = cursor + direction
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while 0 <= next_cursor < total:
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if next_cursor not in separator_indices:
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return next_cursor
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next_cursor += direction
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return cursor
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# ── Public API ──────────────────────────────────────────────────
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def pick(title: str, options: list[tuple[str, str]]) -> str | None:
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"""Arrow-key single-select picker.
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Args:
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title: Header text.
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options: List of ``(value, description)`` tuples.
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Returns:
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The *value* of the selected option, or ``None`` if cancelled.
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"""
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labels = [f"{value:<12s} {desc}" for value, desc in options]
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click.echo()
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click.secho(f" {title}", fg="cyan", bold=True)
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click.echo()
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if _is_interactive():
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try:
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idx = _arrow_select_one(labels)
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except Exception:
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idx = _numbered_select(labels)
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else:
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idx = _numbered_select(labels)
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if idx < 0:
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return None
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value, _desc = options[idx]
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click.secho(f" ✔ {value}", fg="green")
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return value
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def pick_one(title: str, labels: list[str]) -> int:
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"""Arrow-key single-select from plain labels.
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Returns:
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Selected index, or ``-1`` if cancelled.
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"""
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click.echo()
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click.secho(f" {title}", fg="cyan")
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if _is_interactive():
|
|
try:
|
|
return _arrow_select_one(labels)
|
|
except Exception:
|
|
return _numbered_select(labels)
|
|
return _numbered_select(labels)
|
|
|
|
|
|
@overload
|
|
def pick_many(
|
|
title: str,
|
|
labels: list[str],
|
|
*,
|
|
separator_indices: set[int] | None = None,
|
|
preselected: set[int] | None = None,
|
|
initial_cursor: int | None = None,
|
|
) -> list[int]: ...
|
|
|
|
|
|
@overload
|
|
def pick_many(
|
|
title: str,
|
|
labels: list[str],
|
|
*,
|
|
action_indices: set[int],
|
|
separator_indices: set[int] | None = None,
|
|
preselected: set[int] | None = None,
|
|
initial_cursor: int | None = None,
|
|
) -> tuple[list[int], int | None]: ...
|
|
|
|
|
|
def pick_many(
|
|
title: str,
|
|
labels: list[str],
|
|
*,
|
|
action_indices: set[int] | None = None,
|
|
separator_indices: set[int] | None = None,
|
|
preselected: set[int] | None = None,
|
|
initial_cursor: int | None = None,
|
|
) -> list[int] | tuple[list[int], int | None]:
|
|
"""Arrow-key multi-select with checkboxes.
|
|
|
|
Returns:
|
|
Sorted list of selected indices, or ``(indices, action_index)`` when
|
|
``action_indices`` is provided.
|
|
"""
|
|
click.echo()
|
|
click.secho(f" {title}", fg="cyan")
|
|
|
|
if _is_interactive():
|
|
try:
|
|
selected, action = _arrow_select_multi(
|
|
labels,
|
|
action_indices=action_indices,
|
|
separator_indices=separator_indices,
|
|
preselected=preselected,
|
|
initial_cursor=initial_cursor,
|
|
)
|
|
except Exception:
|
|
selected, action = _numbered_select_multi(
|
|
labels,
|
|
action_indices=action_indices,
|
|
separator_indices=separator_indices,
|
|
preselected=preselected,
|
|
)
|
|
else:
|
|
selected, action = _numbered_select_multi(
|
|
labels,
|
|
action_indices=action_indices,
|
|
separator_indices=separator_indices,
|
|
preselected=preselected,
|
|
)
|
|
if action_indices is None:
|
|
return selected
|
|
return selected, action
|