diff --git a/docs/workflow-syntax.md b/docs/workflow-syntax.md index 7893740..ada8aec 100644 --- a/docs/workflow-syntax.md +++ b/docs/workflow-syntax.md @@ -196,6 +196,42 @@ prompt: | **Restrictions** — workflow steps cannot have `prompt`, `model`, `provider`, `tools`, `system_prompt`, `command`, or `options`. Workflow steps also cannot be used inside `parallel` groups or `for_each` groups. +### Dialog Mode + +Dialog mode allows agents to conditionally pause after execution and enter a free-form conversation with the user. An LLM evaluator examines the agent's output against user-defined criteria and decides whether to initiate a dialog. + +```yaml +agents: + - name: researcher + prompt: "Research the given topic thoroughly" + dialog: + trigger_prompt: | + Enter dialog if the agent expresses uncertainty about + the user's intent, encounters ambiguous requirements, + or needs clarification before proceeding. + routes: + - to: writer +``` + +When triggered, the user is presented with a choice: +1. **Discuss** — engage in a multi-turn conversation with the agent +2. **Do your best and continue** — skip the dialog and let the agent proceed + +After the conversation, the agent re-executes with the dialog transcript as additional context, producing a refined output. + +**Configuration:** + +| Field | Type | Required | Description | +|-------|------|----------|-------------| +| `dialog.trigger_prompt` | string | Yes | Criteria for the LLM evaluator to decide when dialog is needed | + +**Behavior notes:** +- Dialog is supported on regular `agent` type only (not `human_gate`, `script`, or `workflow`) +- In web dashboard mode, the dialog temporarily replaces the graph area with a chat interface +- When `--skip-gates` is set (e.g., CI/automation), dialogs are automatically skipped +- The evaluator prompt should describe *when* to trigger dialog, not *what* to ask — the evaluator generates the opening question from the agent's output context +- After dialog, the agent sees the full conversation transcript and produces updated output + ## Parallel Groups Parallel groups execute multiple agents concurrently for improved performance. diff --git a/examples/dialog-mode.yaml b/examples/dialog-mode.yaml new file mode 100644 index 0000000..6658820 --- /dev/null +++ b/examples/dialog-mode.yaml @@ -0,0 +1,77 @@ +# Dialog Mode Example +# +# This example demonstrates the dialog mode feature, where an agent +# can conditionally pause and have a conversation with the user. +# +# The researcher agent has a dialog trigger that fires when the agent +# encounters ambiguity or needs clarification. When triggered, the +# user can choose to discuss or let the agent proceed on its own. +# +# Usage: +# conductor run examples/dialog-mode.yaml --input topic="quantum computing" +# conductor run examples/dialog-mode.yaml --web --input topic="quantum computing" + +workflow: + name: dialog-mode + description: Research workflow with agent-initiated dialog + version: "1.0.0" + entry_point: researcher + + runtime: + provider: copilot + + input: + topic: + type: string + required: true + description: The topic to research + +agents: + - name: researcher + description: Researches the topic and may ask for user clarification + prompt: | + Research the following topic and provide a comprehensive summary: + + Topic: {{ workflow.input.topic }} + + If the topic is broad, pick a specific angle and explain your choice. + If anything is ambiguous, note what assumptions you're making. + output: + summary: + type: string + description: Research summary + key_findings: + type: string + description: Bullet-pointed key findings + assumptions: + type: string + description: Any assumptions made during research + dialog: + trigger_prompt: | + Trigger dialog if the agent: + - Expresses significant uncertainty about the scope or angle + - Makes assumptions that could lead the research in the wrong direction + - Encounters multiple valid interpretations of the topic + Do NOT trigger for minor uncertainties that the agent can resolve on its own. + routes: + - to: writer + + - name: writer + description: Writes a polished article from the research + prompt: | + Write a clear, engaging article based on this research: + + Summary: {{ researcher.output.summary }} + Key Findings: {{ researcher.output.key_findings }} + + Keep the tone informative but accessible. + output: + article: + type: string + description: The final article + routes: + - to: $end + +output: + article: "{{ writer.output.article }}" + research_assumptions: "{{ researcher.output.assumptions }}" diff --git a/examples/dialog-test.yaml b/examples/dialog-test.yaml new file mode 100644 index 0000000..e66d0bb --- /dev/null +++ b/examples/dialog-test.yaml @@ -0,0 +1,60 @@ +# Dialog Mode Test — guaranteed to trigger dialog +# +# This workflow asks an agent to analyze a codebase question, +# but the agent will express uncertainty about scope/approach, +# triggering a dialog with the user. +# +# Usage: +# conductor run examples/dialog-test.yaml --input question="How should I refactor the error handling?" + +workflow: + name: dialog-test + description: Quick test to exercise dialog mode + entry_point: analyst + + runtime: + provider: copilot + + input: + question: + type: string + required: true + description: A code analysis question — the agent will seek clarification + +agents: + - name: analyst + description: An agent that analyzes code but needs clarification on scope + model: claude-haiku-4.5 + prompt: | + The user asked: {{ workflow.input.question }} + + You MUST respond as though this question is too broad to answer well. + Identify at least 3 different ways you could approach or scope this + analysis, explain why each leads to very different recommendations, + and state clearly that you need the user to narrow the scope before + you can give a useful answer. Express strong uncertainty about which + approach the user wants. + output: + approaches: + type: string + description: The possible approaches or scopes you identified + chosen_approach: + type: string + description: Which approach you went with (after dialog) + analysis: + type: string + description: Your analysis based on the chosen approach + dialog: + trigger_prompt: | + ALWAYS trigger dialog. The agent's output will contain + uncertainty and multiple possible approaches — this is by design. + Trigger if the output mentions any ambiguity, multiple + approaches, uncertainty, or inability to proceed. + In practice: always return trigger=true for this agent. + routes: + - to: $end + +output: + approaches: "{{ analyst.output.approaches }}" + chosen: "{{ analyst.output.chosen_approach }}" + analysis: "{{ analyst.output.analysis }}" diff --git a/src/conductor/config/__init__.py b/src/conductor/config/__init__.py index 46bf1a1..78efbff 100644 --- a/src/conductor/config/__init__.py +++ b/src/conductor/config/__init__.py @@ -13,6 +13,7 @@ from conductor.config.schema import ( AgentDef, ContextConfig, + DialogConfig, GateOption, HooksConfig, InputDef, @@ -34,6 +35,7 @@ # Schema models "AgentDef", "ContextConfig", + "DialogConfig", "GateOption", "HooksConfig", "InputDef", diff --git a/src/conductor/config/schema.py b/src/conductor/config/schema.py index a0e8791..841481e 100644 --- a/src/conductor/config/schema.py +++ b/src/conductor/config/schema.py @@ -387,6 +387,33 @@ class RetryPolicy(BaseModel): """ +class DialogConfig(BaseModel): + """Configuration for agent dialog mode. + + When present on an agent, enables the agent to conditionally pause + after execution and enter a free-form conversation with the user. + + An evaluator LLM call examines the agent's output against the + user-defined trigger_prompt criteria and decides whether to pause + and start a conversation. + + Example YAML:: + + dialog: + trigger_prompt: | + Enter dialog if the agent expresses uncertainty about + the user's intent or needs clarification on requirements. + """ + + trigger_prompt: str + """User-defined criteria for when to enter dialog mode. + + This prompt is wrapped in a system message and evaluated against + the agent's output. The evaluator decides whether to pause and + start a conversation with the user. + """ + + class AgentDef(BaseModel): """Definition for a single agent in the workflow.""" @@ -543,6 +570,24 @@ class AgentDef(BaseModel): - timeout """ + dialog: DialogConfig | None = None + """Optional dialog mode configuration. + + When set, enables this agent to conditionally pause after execution + and enter a free-form conversation with the user. A lightweight + evaluator LLM call uses the trigger_prompt to decide whether dialog + should be triggered based on the agent's output. + + Only applies to provider-backed agents (type='agent' or None). + + Example YAML:: + + dialog: + trigger_prompt: | + Enter dialog if the agent is uncertain about the user's + intent or needs clarification on ambiguous requirements. + """ + @field_validator("timeout") @classmethod def validate_timeout(cls, v: int | None) -> int | None: @@ -561,6 +606,8 @@ def validate_agent_type(self) -> AgentDef: raise ValueError("human_gate agents require 'prompt'") if self.input_mapping is not None: raise ValueError("human_gate agents cannot have 'input_mapping'") + if self.dialog is not None: + raise ValueError("human_gate agents cannot have 'dialog'") if self.max_depth is not None: raise ValueError("human_gate agents cannot have 'max_depth'") elif self.type == "script": @@ -591,6 +638,8 @@ def validate_agent_type(self) -> AgentDef: raise ValueError("script agents cannot have 'retry'") if self.input_mapping is not None: raise ValueError("script agents cannot have 'input_mapping'") + if self.dialog is not None: + raise ValueError("script agents cannot have 'dialog'") if self.max_depth is not None: raise ValueError("script agents cannot have 'max_depth'") elif self.type == "workflow": @@ -616,6 +665,8 @@ def validate_agent_type(self) -> AgentDef: raise ValueError("workflow agents cannot have 'max_agent_iterations'") if self.retry is not None: raise ValueError("workflow agents cannot have 'retry'") + if self.dialog is not None: + raise ValueError("workflow agents cannot have 'dialog'") else: # Regular agent or human_gate — input_mapping is not valid if self.input_mapping is not None: diff --git a/src/conductor/engine/dialog_evaluator.py b/src/conductor/engine/dialog_evaluator.py new file mode 100644 index 0000000..c554416 --- /dev/null +++ b/src/conductor/engine/dialog_evaluator.py @@ -0,0 +1,188 @@ +"""Dialog evaluator for conditional agent-user dialog triggering. + +This module provides the DialogEvaluator class which uses an LLM call +to determine whether an agent should enter dialog mode based on +user-defined criteria in the trigger_prompt. +""" + +from __future__ import annotations + +import json +import logging +from dataclasses import dataclass +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + from conductor.config.schema import AgentDef + from conductor.providers.base import AgentProvider + +logger = logging.getLogger(__name__) + +EVALUATOR_SYSTEM_PROMPT = """\ +You are a dialog trigger evaluator. Your job is to examine an agent's output \ +and decide whether the agent should pause and start a conversation with the user. + +The workflow author has defined the following criteria for triggering dialog: + +--- CRITERIA --- +{trigger_prompt} +--- END CRITERIA --- + +Examine the agent's output below and decide: +1. Does the output meet the criteria for triggering a dialog with the user? +2. If yes, what question or topic should the agent open the dialog with? \ +Include full context — file paths, code snippets, data points, and reasoning — \ +so the user has everything they need to respond meaningfully. + +You MUST respond with ONLY a JSON object (no markdown, no extra text): +{{"trigger": true/false, "reason": "brief explanation", "question": "the opening \ +question to ask the user with full context (only if trigger is true)"}} +""" + +EVALUATOR_USER_PROMPT = """\ +Agent name: {agent_name} +Agent output: +{agent_output} +""" + +# Sentinel marker appended when the agent output is truncated to fit the +# evaluator prompt. Lets the evaluator LLM know it has partial data so it +# can either still trigger or ask for clarification rather than failing silently. +_TRUNCATION_MARKER = "\n…[truncated]" + + +def _truncate_for_evaluator(text: str, limit: int) -> str: + """Truncate ``text`` to ``limit`` chars, appending a marker if cut. + + The marker is part of the budget — we leave headroom so the evaluator + sees ``…[truncated]`` rather than a half-token at the boundary. + """ + if len(text) <= limit: + return text + headroom = len(_TRUNCATION_MARKER) + return text[: max(0, limit - headroom)] + _TRUNCATION_MARKER + + +@dataclass +class DialogEvaluation: + """Result of a dialog trigger evaluation. + + Attributes: + trigger: Whether dialog should be triggered. + reason: Explanation of why dialog was or was not triggered. + question: The opening question for the dialog (if triggered). + """ + + trigger: bool + reason: str + question: str = "" + + +class DialogEvaluator: + """Evaluates whether an agent should enter dialog mode. + + Uses a single LLM call to evaluate the agent's output against + user-defined trigger criteria. + """ + + async def evaluate( + self, + agent: AgentDef, + output: dict[str, Any], + provider: AgentProvider, + ) -> DialogEvaluation: + """Evaluate whether an agent's output should trigger dialog. + + Args: + agent: The agent definition with dialog config. + output: The agent's output content. + provider: The provider to use for the evaluation LLM call. + + Returns: + DialogEvaluation with trigger decision and opening question. + """ + if not agent.dialog: + return DialogEvaluation(trigger=False, reason="No dialog config") + + return await self._run_evaluator(agent, output, provider) + + async def _run_evaluator( + self, + agent: AgentDef, + output: dict[str, Any], + provider: AgentProvider, + ) -> DialogEvaluation: + """Run the LLM evaluator to decide whether dialog is needed. + + Args: + agent: The agent definition with dialog config. + output: The agent's output content. + provider: The provider for the LLM call. + + Returns: + DialogEvaluation with trigger decision and opening question. + """ + try: + output_str = json.dumps(output, indent=2, default=str) + except (TypeError, ValueError): + output_str = str(output) + + system_prompt = EVALUATOR_SYSTEM_PROMPT.format( + trigger_prompt=agent.dialog.trigger_prompt, + ) + user_prompt = EVALUATOR_USER_PROMPT.format( + agent_name=agent.name, + agent_output=_truncate_for_evaluator(output_str, limit=4000), + ) + + try: + result = await provider.execute_dialog_turn( + system_prompt=system_prompt, + user_message=user_prompt, + history=[], + model=agent.model, + ) + return self._parse_evaluation(result) + except Exception: + logger.warning( + "Dialog evaluation failed for agent '%s', skipping dialog", + agent.name, + exc_info=True, + ) + return DialogEvaluation( + trigger=False, + reason="Evaluation failed", + ) + + def _parse_evaluation(self, response: str) -> DialogEvaluation: + """Parse the evaluator LLM response into a DialogEvaluation. + + Args: + response: Raw LLM response text. + + Returns: + Parsed DialogEvaluation. + """ + try: + text = response.strip() + # Handle markdown code blocks. The LLM may omit the closing fence, + # in which case we must NOT swallow the last line of valid JSON. + if text.startswith("```"): + lines = text.splitlines() + if len(lines) > 1 and lines[-1].strip().startswith("```"): + text = "\n".join(lines[1:-1]) + elif len(lines) > 1: + text = "\n".join(lines[1:]) + + data = json.loads(text) + return DialogEvaluation( + trigger=bool(data.get("trigger", False)), + reason=str(data.get("reason", "")), + question=str(data.get("question", "")), + ) + except (json.JSONDecodeError, KeyError, TypeError): + logger.warning("Failed to parse dialog evaluation response: %s", response[:200]) + return DialogEvaluation( + trigger=False, + reason=f"Failed to parse evaluation: {response[:100]}", + ) diff --git a/src/conductor/engine/workflow.py b/src/conductor/engine/workflow.py index cc0c7fc..f751b0a 100644 --- a/src/conductor/engine/workflow.py +++ b/src/conductor/engine/workflow.py @@ -377,6 +377,17 @@ def __init__( # Web dashboard for bidirectional gate input self._web_dashboard = web_dashboard + # Dialog mode support + from conductor.engine.dialog_evaluator import DialogEvaluator + from conductor.gates.dialog import DialogHandler + + self._dialog_evaluator = DialogEvaluator() + self._dialog_handler = DialogHandler( + skip_dialogs=skip_gates, + emitter=event_emitter, + web_dashboard=web_dashboard, + ) + # Checkpoint tracking self._current_agent_name: str | None = None self._last_checkpoint_path: Path | None = None @@ -1388,6 +1399,95 @@ async def _handle_partial_output( new_guidance_section = self.context.get_guidance_prompt_section() return await executor.execute(agent, agent_context, guidance_section=new_guidance_section) + async def _handle_dialog( + self, + agent: AgentDef, + output: AgentOutput, + agent_context: dict[str, Any], + executor: AgentExecutor, + ) -> AgentOutput: + """Handle dialog mode evaluation and conversation for an agent. + + Runs the dialog evaluator against the agent's output. If dialog is + triggered, presents the user with a choice to engage or skip, then + manages the conversation. After dialog, re-executes the agent with + the dialog transcript as additional guidance so the agent can refine + its output. + + Args: + agent: The agent with dialog config. + output: The agent's current output. + agent_context: The context used for agent execution. + executor: The executor for the agent. + + Returns: + The original output if dialog was not triggered or declined, + or an updated output after re-execution with dialog context. + """ + provider = executor.provider + + # Suspend keyboard listener for interactive dialog + if self._keyboard_listener is not None: + await self._keyboard_listener.suspend() + + try: + evaluation = await self._dialog_evaluator.evaluate(agent, output.content, provider) + + if not evaluation.trigger: + logger.debug("Dialog not triggered for '%s': %s", agent.name, evaluation.reason) + return output + + logger.info("Dialog triggered for '%s': %s", agent.name, evaluation.reason) + + dialog_result = await self._dialog_handler.handle_dialog( + agent=agent, + agent_output=output.content, + opening_question=evaluation.question, + provider=provider, + base_dir=self.workflow_path.parent if self.workflow_path else None, + ) + + # If user declined or no meaningful dialog occurred, keep original output + if dialog_result.user_declined or not dialog_result.messages: + return output + + # Build dialog transcript for re-execution guidance + transcript_parts = [] + for msg in dialog_result.messages: + label = "User" if msg.role == "user" else "Agent" + transcript_parts.append(f"{label}: {msg.content}") + transcript = "\n".join(transcript_parts) + + dialog_guidance = ( + f"\n\n--- DIALOG WITH USER ---\n" + f"The following conversation occurred after your initial output. " + f"Use this context to refine your response:\n\n" + f"{transcript}\n" + f"--- END DIALOG ---\n\n" + f"Now produce your final output incorporating the dialog above." + ) + + # Re-execute with dialog context + guidance_section = self.context.get_guidance_prompt_section() or "" + guidance_section += dialog_guidance + + new_output = await executor.execute( + agent, agent_context, guidance_section=guidance_section + ) + return new_output + + except Exception: + logger.warning( + "Dialog handling failed for '%s', using original output", + agent.name, + exc_info=True, + ) + return output + finally: + # Resume keyboard listener + if self._keyboard_listener is not None: + await self._keyboard_listener.resume() + async def _execute_loop(self, current_agent_name: str) -> dict[str, Any]: """Core execution loop shared by :meth:`run` and :meth:`resume`. @@ -1979,6 +2079,16 @@ async def _execute_loop(self, current_agent_name: str) -> dict[str, Any]: ) _agent_elapsed = _time.time() - _agent_start + # Dialog mode: evaluate whether agent should enter dialog + if agent.dialog and not output.partial: + output = await self._handle_dialog( + agent, + output, + agent_context, + executor, + ) + _agent_elapsed = _time.time() - _agent_start + # Record usage and calculate cost usage = self.usage_tracker.record(agent.name, output, _agent_elapsed) diff --git a/src/conductor/executor/linkify.py b/src/conductor/executor/linkify.py new file mode 100644 index 0000000..163d80e --- /dev/null +++ b/src/conductor/executor/linkify.py @@ -0,0 +1,265 @@ +"""Auto-linkify bare file paths and URLs in rendered markdown text. + +This module provides post-processing for human-facing rendered text (gate +prompts, etc.) to automatically convert bare file paths and URLs into +markdown links. It is *not* used inside the generic ``TemplateRenderer`` — +only at call-sites that produce text destined for markdown rendering (web +dashboard, Rich terminal). + +The processing is markdown-aware: fenced code blocks, inline code spans, +and existing markdown links are left untouched. +""" + +from __future__ import annotations + +import re +from pathlib import Path + +# --------------------------------------------------------------------------- +# Shared extension allowlist — kept in sync with web/server.py +# --------------------------------------------------------------------------- +LINKABLE_EXTENSIONS = frozenset( + { + ".md", + ".txt", + ".yaml", + ".yml", + ".json", + ".log", + ".py", + ".ts", + ".js", + ".tsx", + ".jsx", + ".css", + ".html", + ".toml", + ".cfg", + ".ini", + ".csv", + ".xml", + ".sh", + ".bat", + ".ps1", + ".plan.md", + } +) + +# --------------------------------------------------------------------------- +# Regex patterns +# --------------------------------------------------------------------------- + +# Fenced code block (``` or ~~~, with optional language tag) +_FENCED_CODE_RE = re.compile(r"^(`{3,}|~{3,}).*?^\1", re.MULTILINE | re.DOTALL) + +# Inline code span (`...`) +_INLINE_CODE_RE = re.compile(r"`[^`\n]+`") + +# Existing markdown links: [text](url) or [text][ref] +_EXISTING_LINK_RE = re.compile(r"\[[^\]]*\]\([^)]*\)|\[[^\]]*\]\[[^\]]*\]") + +# Bare URL: http(s)://... terminated at whitespace or common punctuation +_URL_RE = re.compile( + r"(?\]\[\"'`]+" +) + +# Bare file path: contains at least one /, ends with a known extension. +# Must start at a word boundary or line start. Avoids matching inside +# URLs (already handled) by requiring no scheme prefix. +_FILE_PATH_RE = re.compile( + r"(? str: + """Post-process rendered text to add markdown links for paths and URLs. + + Processing steps: + 1. Normalize Jinja2 whitespace artifacts (3+ consecutive newlines → 2). + 2. Auto-linkify bare ``http(s)://`` URLs. + 3. Auto-linkify bare file paths (verified against *base_dir* when given). + + Fenced code blocks, inline code spans, and existing markdown links are + preserved unchanged. + + Args: + text: Rendered template text (may contain markdown). + base_dir: Optional directory for file existence checks. When + provided, only paths that resolve to an existing file within + *base_dir* are linkified. + + Returns: + Text with bare paths/URLs wrapped in markdown link syntax. + """ + # Step 1: normalize whitespace + text = _normalize_whitespace(text) + + # Step 2 & 3: linkify, skipping protected regions + text = _linkify_with_protection(text, base_dir) + + return text + + +# --------------------------------------------------------------------------- +# Internals +# --------------------------------------------------------------------------- + + +def _normalize_whitespace(text: str) -> str: + """Collapse 3+ consecutive newlines into exactly 2 (one blank line).""" + return re.sub(r"\n{3,}", "\n\n", text) + + +def _linkify_with_protection(text: str, base_dir: Path | None) -> str: + """Linkify URLs and file paths while protecting code/links. + + Strategy: identify protected spans (fenced code, inline code, existing + links), then process only the unprotected gaps. + """ + protected: list[tuple[int, int]] = [] + + for pattern in (_FENCED_CODE_RE, _INLINE_CODE_RE, _EXISTING_LINK_RE): + for m in pattern.finditer(text): + protected.append((m.start(), m.end())) + + # Sort and merge overlapping spans + protected.sort() + merged: list[tuple[int, int]] = [] + for start, end in protected: + if merged and start <= merged[-1][1]: + merged[-1] = (merged[-1][0], max(merged[-1][1], end)) + else: + merged.append((start, end)) + + # Build result by processing unprotected segments + result: list[str] = [] + prev_end = 0 + for pstart, pend in merged: + if prev_end < pstart: + # Unprotected gap — linkify it + result.append(_linkify_segment(text[prev_end:pstart], base_dir)) + # Protected span — copy verbatim + result.append(text[pstart:pend]) + prev_end = pend + # Final unprotected tail + if prev_end < len(text): + result.append(_linkify_segment(text[prev_end:], base_dir)) + + return "".join(result) + + +def _linkify_segment(segment: str, base_dir: Path | None) -> str: + """Linkify bare URLs and file paths in an unprotected text segment.""" + # First pass: linkify URLs + segment = _URL_RE.sub(_wrap_url, segment) + # Second pass: linkify file paths + segment = _linkify_file_paths(segment, base_dir) + return segment + + +def _wrap_url(m: re.Match[str]) -> str: + """Wrap a bare URL in markdown autolink syntax.""" + url = m.group(0) + # Strip trailing punctuation that's unlikely part of the URL + trailing = "" + while url and url[-1] in ".,;:!?)": + # Keep ) only if there's a matching ( in the URL (e.g. Wikipedia links) + if url[-1] == ")" and "(" in url: + break + trailing = url[-1] + trailing + url = url[:-1] + return f"[{url}]({url}){trailing}" + + +def _linkify_file_paths(segment: str, base_dir: Path | None) -> str: + """Find and linkify bare file paths in a text segment. + + A token is considered a file path if: + - It contains at least one ``/`` + - It ends with a known extension + - If *base_dir* is given, the file must exist + """ + # Split on whitespace boundaries to find path-like tokens + # We process word-by-word to avoid partial matches + tokens = re.split(r"(\s+)", segment) + result: list[str] = [] + + for token in tokens: + linked = _try_linkify_path(token, base_dir) + result.append(linked if linked else token) + + return "".join(result) + + +def _try_linkify_path(token: str, base_dir: Path | None) -> str | None: + """Try to linkify a single token as a file path. + + Returns the markdown link string, or None if the token is not a file path. + """ + # Strip leading/trailing punctuation that isn't part of the path + prefix = "" + suffix = "" + stripped = token + + # Strip common leading chars + while stripped and stripped[0] in "([\"'": + prefix += stripped[0] + stripped = stripped[1:] + + # Strip common trailing chars + while stripped and stripped[-1] in ")]\"'.,;:!?": + suffix = stripped[-1] + suffix + stripped = stripped[:-1] + + if not stripped: + return None + + # Must contain a path separator + if "/" not in stripped and "\\" not in stripped: + return None + + # Normalize to forward slashes for extension check + normalized = stripped.replace("\\", "/") + + # Must end with a known extension + if not _has_linkable_extension(normalized): + return None + + # Must not look like a URL (already handled) + if re.match(r"https?://", stripped): + return None + + # If base_dir is provided, verify file exists + if base_dir is not None: + try: + resolved_base = base_dir.resolve() + candidate = (base_dir / stripped).resolve() + # Security: must be within base_dir (path-aware containment, not + # string-prefix — `/foo/bar` must not match `/foo/barbaz/...`). + if not candidate.is_relative_to(resolved_base): + return None + if not candidate.is_file(): + return None + except (OSError, ValueError): + return None + + # Build markdown link with forward slashes (for dashboard API) + link_target = normalized + return f"{prefix}[{stripped}]({link_target}){suffix}" + + +def _has_linkable_extension(path: str) -> bool: + """Check if a path ends with a known linkable extension.""" + lower = path.lower() + return any(lower.endswith(ext) for ext in LINKABLE_EXTENSIONS) diff --git a/src/conductor/gates/dialog.py b/src/conductor/gates/dialog.py new file mode 100644 index 0000000..66f0d3a --- /dev/null +++ b/src/conductor/gates/dialog.py @@ -0,0 +1,734 @@ +"""Dialog handler for agent-initiated user conversations. + +This module implements the interactive dialog mode where an agent pauses +after execution and enters a free-form conversation with the user. +The dialog presents full context (output, file paths, reasoning) and +supports multi-turn exchanges until the user or agent concludes. +""" + +from __future__ import annotations + +import asyncio +import json +import logging +import uuid +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, Any + +from rich.console import Console +from rich.markdown import Markdown as RichMarkdown +from rich.panel import Panel +from rich.prompt import Prompt +from rich.text import Text + +from conductor.executor.linkify import linkify_markdown + +if TYPE_CHECKING: + from pathlib import Path + + from conductor.config.schema import AgentDef + from conductor.events import WorkflowEventEmitter + from conductor.providers.base import AgentProvider + from conductor.web.server import WebDashboard + +logger = logging.getLogger(__name__) + +# System prompt for the agent during dialog mode. +# The agent should be conversational and propose completion when ready. +DIALOG_AGENT_SYSTEM_PROMPT = """\ +You are helping with a workflow dialog. A workflow agent named "{agent_name}" \ +has produced output and needs to discuss it with the user. + +YOUR TASK: Act as the agent "{agent_name}" and have a conversation with the \ +user about the output below. You must stay in character and discuss the output \ +topic naturally. This is NOT a coding task — the user wants to discuss the \ +content of the agent's output, whatever the topic may be. + +RULES: +- Discuss the output topic as written — do NOT refuse, redirect, or claim \ + the topic is "out of scope" +- Share full context including file paths, code snippets, and reasoning \ + when relevant +- When you believe you have enough information to proceed, include the \ + exact marker [READY_TO_CONTINUE] at the end of your message +- If the user says "done", "continue", or "go ahead", treat that as \ + permission to stop discussing + +--- AGENT OUTPUT TO DISCUSS --- +{agent_output} +--- END AGENT OUTPUT --- +""" + +# Dismiss keywords the user can type to exit dialog +DISMISS_KEYWORDS = frozenset( + { + "done", + "continue", + "go ahead", + "proceed", + "that's all", + "thats all", + "resume", + "exit", + "/done", + "/continue", + } +) + +# Marker the agent appends to signal it's ready to continue. Treated as a +# terminal control token (must be at the end of the response) to prevent +# false positives if the agent quotes the marker mid-response. +_READY_MARKER = "[READY_TO_CONTINUE]" + + +def _extract_ready_marker(response: str) -> tuple[bool, str]: + """Return ``(proposed, cleaned)`` for an agent response. + + ``proposed`` is True only when the marker appears at the very end of the + (right-stripped) response. ``cleaned`` is the response with the trailing + marker removed. This avoids both false positives from mid-response + mentions and the user-injection vector where a user pastes the marker. + """ + stripped = response.rstrip() + if stripped.endswith(_READY_MARKER): + cleaned = stripped[: -len(_READY_MARKER)].rstrip() + return True, cleaned + return False, response + + +@dataclass +class DialogMessage: + """A single message in a dialog conversation. + + Attributes: + role: Either 'user' or 'agent'. + content: The message content. + """ + + role: str + content: str + + +@dataclass +class DialogResult: + """Result of a dialog session. + + Attributes: + dialog_id: Unique identifier for this dialog session. + messages: Full transcript of the dialog conversation. + user_dismissed: Whether the user explicitly dismissed the dialog. + user_declined: Whether the user declined to engage at all. + agent_proposed_continue: Whether the agent proposed continuing. + """ + + dialog_id: str + messages: list[DialogMessage] = field(default_factory=list) + user_dismissed: bool = False + user_declined: bool = False + agent_proposed_continue: bool = False + + +class DialogHandler: + """Handles interactive dialog sessions between agents and users. + + Presents the agent's full context (output, file paths, reasoning) + and manages a multi-turn conversation until the user or agent + concludes the dialog. + + Example:: + + handler = DialogHandler() + result = await handler.handle_dialog( + agent=agent_def, + agent_output={"result": "analysis complete", "files": [...]}, + opening_question="I found some ambiguity in the requirements...", + provider=copilot_provider, + ) + """ + + def __init__( + self, + console: Console | None = None, + skip_dialogs: bool = False, + emitter: WorkflowEventEmitter | None = None, + web_dashboard: WebDashboard | None = None, + ) -> None: + """Initialize the DialogHandler. + + Args: + console: Rich console for output. Creates one if not provided. + skip_dialogs: If True, auto-skip all dialogs (for CI/automation). + emitter: Optional event emitter for dialog events. + web_dashboard: Optional web dashboard for web-based dialog input. + """ + self.console = console or Console() + self.skip_dialogs = skip_dialogs + self.emitter = emitter + self.web_dashboard = web_dashboard + + async def handle_dialog( + self, + agent: AgentDef, + agent_output: dict[str, Any], + opening_question: str, + provider: AgentProvider, + base_dir: Path | None = None, + ) -> DialogResult: + """Run an interactive dialog session with the user. + + Presents the agent's full output and opening question, then + manages a multi-turn conversation until conclusion. + + Args: + agent: The agent definition that triggered dialog. + agent_output: The agent's complete output (shown to user as context). + opening_question: The evaluator-extracted opening question. + provider: The provider for generating agent responses. + base_dir: Optional directory for resolving file paths in output. + + Returns: + DialogResult with the full conversation transcript. + """ + dialog_id = str(uuid.uuid4())[:8] + result = DialogResult(dialog_id=dialog_id) + + if self.skip_dialogs: + logger.info("Dialog skipped for agent '%s' (skip_dialogs=True)", agent.name) + result.user_declined = True + return result + + # Dispatch to web mode if dashboard is available + if self.web_dashboard is not None: + return await self._web_handle_dialog( + agent=agent, + agent_output=agent_output, + opening_question=opening_question, + provider=provider, + dialog_id=dialog_id, + result=result, + ) + + self._emit_event( + "dialog_started", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "opening_question": opening_question, + }, + ) + + # Build the system prompt with full agent output context + try: + output_str = json.dumps(agent_output, indent=2, default=str) + except (TypeError, ValueError): + output_str = str(agent_output) + + system_prompt = DIALOG_AGENT_SYSTEM_PROMPT.format( + agent_name=agent.name, agent_output=output_str + ) + + # Display full context and the opening question to the user + self._display_dialog_start(agent, agent_output, opening_question, base_dir) + + # Record the opening question as the first agent message + result.messages.append(DialogMessage(role="agent", content=opening_question)) + self._emit_event( + "dialog_message", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "role": "agent", + "content": opening_question, + }, + ) + + # Ask user if they want to engage or let the agent continue on its own + engagement = await self._ask_engagement() + if engagement == "decline": + result.user_declined = True + self._display_dialog_end(dismissed_by="declined") + self._emit_event( + "dialog_completed", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "turn_count": len(result.messages), + "user_declined": True, + }, + ) + return result + + # Track conversation history for the provider + history: list[dict[str, str]] = [] + + # Dialog loop + while True: + # Get user input + user_input = await self._get_user_input() + + if user_input is None: + # EOF or error + result.user_dismissed = True + break + + result.messages.append(DialogMessage(role="user", content=user_input)) + self._emit_event( + "dialog_message", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "role": "user", + "content": user_input, + }, + ) + + # Check if user is dismissing the dialog + if self._is_dismiss(user_input): + result.user_dismissed = True + self._display_dialog_end(dismissed_by="user") + break + + # Send to agent and get response + history.append({"role": "user", "content": user_input}) + try: + agent_response = await provider.execute_dialog_turn( + system_prompt=system_prompt, + user_message=user_input, + history=history[:-1], # History excludes current message + model=agent.model, + ) + except Exception: + # Roll back the user turn so the next attempt doesn't leave two + # consecutive user messages in the provider context. + history.pop() + logger.warning( + "Dialog turn failed for agent '%s'", + agent.name, + exc_info=True, + ) + self.console.print( + "[dim red] (Agent response failed — you can continue or type 'done')[/dim red]" + ) + continue + + history.append({"role": "assistant", "content": agent_response}) + ready_proposed, clean_response = _extract_ready_marker(agent_response) + stored_response = clean_response if ready_proposed else agent_response + result.messages.append(DialogMessage(role="agent", content=stored_response)) + self._emit_event( + "dialog_message", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "role": "agent", + "content": stored_response, + }, + ) + + # Check if agent proposed completion (terminal marker only) + if ready_proposed: + result.agent_proposed_continue = True + self._display_agent_message(clean_response) + self._display_continue_proposal() + + # Ask user if they approve + approval = await self._get_user_input( + prompt_text="[bold]Continue?[/bold] ([green]yes[/green]/no)" + ) + if approval is None or approval.lower() in ("yes", "y", ""): + self._display_dialog_end(dismissed_by="agent_approved") + break + # User wants to keep chatting + history.append({"role": "user", "content": approval}) + result.messages.append(DialogMessage(role="user", content=approval)) + continue + + self._display_agent_message(agent_response) + + self._emit_event( + "dialog_completed", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "turn_count": len(result.messages), + "user_dismissed": result.user_dismissed, + "agent_proposed_continue": result.agent_proposed_continue, + }, + ) + + return result + + async def _web_handle_dialog( + self, + agent: AgentDef, + agent_output: dict[str, Any], + opening_question: str, + provider: AgentProvider, + dialog_id: str, + result: DialogResult, + ) -> DialogResult: + """Run a dialog session with input from the web dashboard. + + Events are already emitted by the regular flow. This method replaces + CLI prompts with web dashboard WebSocket communication. + """ + assert self.web_dashboard is not None + + self._emit_event( + "dialog_started", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "opening_question": opening_question, + }, + ) + + # Build the system prompt with full agent output context + try: + output_str = json.dumps(agent_output, indent=2, default=str) + except (TypeError, ValueError): + output_str = str(agent_output) + + system_prompt = DIALOG_AGENT_SYSTEM_PROMPT.format( + agent_name=agent.name, agent_output=output_str + ) + + # Record the opening question as the first agent message + result.messages.append(DialogMessage(role="agent", content=opening_question)) + self._emit_event( + "dialog_message", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "role": "agent", + "content": opening_question, + }, + ) + + # Wait for engagement decision from web client + msg = await self.web_dashboard.wait_for_dialog_message(agent.name, dialog_id) + if msg.get("type") == "dialog_decline": + result.user_declined = True + self._emit_event( + "dialog_completed", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "turn_count": len(result.messages), + "user_declined": True, + }, + ) + return result + + # First message content from the user (engagement + first input) + user_input = msg.get("content", "") + history: list[dict[str, str]] = [] + + # Process first user message + result.messages.append(DialogMessage(role="user", content=user_input)) + self._emit_event( + "dialog_message", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "role": "user", + "content": user_input, + }, + ) + + if self._is_dismiss(user_input): + result.user_dismissed = True + self._emit_event( + "dialog_completed", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "turn_count": len(result.messages), + "user_dismissed": True, + }, + ) + return result + + # Dialog loop + while True: + # Send to agent and get response + history.append({"role": "user", "content": user_input}) + try: + agent_response = await provider.execute_dialog_turn( + system_prompt=system_prompt, + user_message=user_input, + history=history[:-1], + model=agent.model, + ) + except Exception: + # Roll back the user turn so the next attempt doesn't leave two + # consecutive user messages in the provider context. + history.pop() + logger.warning( + "Dialog turn failed for agent '%s'", + agent.name, + exc_info=True, + ) + # Emit a failure message so user knows + self._emit_event( + "dialog_message", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "role": "agent", + "content": "(Agent response failed — you can continue or type 'done')", + }, + ) + # Wait for next user message + msg = await self.web_dashboard.wait_for_dialog_message(agent.name, dialog_id) + if msg.get("type") == "dialog_decline": + result.user_dismissed = True + break + user_input = msg.get("content", "") + result.messages.append(DialogMessage(role="user", content=user_input)) + self._emit_event( + "dialog_message", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "role": "user", + "content": user_input, + }, + ) + if self._is_dismiss(user_input): + result.user_dismissed = True + break + continue + + history.append({"role": "assistant", "content": agent_response}) + ready_proposed, clean_response = _extract_ready_marker(agent_response) + stored_response = clean_response if ready_proposed else agent_response + result.messages.append(DialogMessage(role="agent", content=stored_response)) + + # Check if agent proposed completion (terminal marker only) + if ready_proposed: + result.agent_proposed_continue = True + self._emit_event( + "dialog_message", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "role": "agent", + "content": clean_response + + "\n\n*The agent believes it has enough information to continue.*", + }, + ) + # Wait for approval or continuation + msg = await self.web_dashboard.wait_for_dialog_message(agent.name, dialog_id) + if msg.get("type") == "dialog_decline": + break + approval = msg.get("content", "") + if approval.lower() in ("yes", "y", ""): + break + # User wants to keep chatting — treat approval as the next user + # turn. The loop top will append it to provider history exactly + # once; we only update the transcript / UI here. + user_input = approval + result.messages.append(DialogMessage(role="user", content=approval)) + self._emit_event( + "dialog_message", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "role": "user", + "content": approval, + }, + ) + continue + + self._emit_event( + "dialog_message", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "role": "agent", + "content": stored_response, + }, + ) + + # Wait for next user message + msg = await self.web_dashboard.wait_for_dialog_message(agent.name, dialog_id) + if msg.get("type") == "dialog_decline": + result.user_dismissed = True + break + user_input = msg.get("content", "") + result.messages.append(DialogMessage(role="user", content=user_input)) + self._emit_event( + "dialog_message", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "role": "user", + "content": user_input, + }, + ) + + if self._is_dismiss(user_input): + result.user_dismissed = True + break + + self._emit_event( + "dialog_completed", + { + "dialog_id": dialog_id, + "agent_name": agent.name, + "turn_count": len(result.messages), + "user_dismissed": result.user_dismissed, + "agent_proposed_continue": result.agent_proposed_continue, + }, + ) + + return result + + def _display_dialog_start( + self, + agent: AgentDef, + agent_output: dict[str, Any], + opening_question: str, + base_dir: Path | None = None, + ) -> None: + """Display the dialog opening with full agent context.""" + self.console.print() + self.console.print( + Panel( + Text.from_markup( + f"[bold]Agent '{agent.name}'[/bold] would like to discuss " + f"its output with you.\n" + f"[dim]Type your responses below. Say [bold]done[/bold] or " + f"[bold]/done[/bold] when finished.[/dim]" + ), + title="[bold magenta]Dialog Mode[/bold magenta]", + border_style="magenta", + ) + ) + + # Show agent output with full context + try: + output_str = json.dumps(agent_output, indent=2, default=str) + except (TypeError, ValueError): + output_str = str(agent_output) + + # Linkify file paths in the output for clickable links + output_display = linkify_markdown(output_str, base_dir=base_dir) + + self.console.print() + self.console.print( + Panel( + RichMarkdown(f"```json\n{output_display}\n```"), + title="[bold cyan]Agent Output (Full Context)[/bold cyan]", + border_style="cyan", + expand=True, + ) + ) + + # Show the opening question + self.console.print() + question_display = linkify_markdown(opening_question, base_dir=base_dir) + self.console.print( + Panel( + RichMarkdown(question_display), + title=f"[bold yellow]{agent.name}[/bold yellow]", + border_style="yellow", + ) + ) + + def _display_agent_message(self, message: str) -> None: + """Display an agent message in the dialog.""" + self.console.print() + self.console.print( + Panel( + RichMarkdown(message), + border_style="yellow", + ) + ) + + def _display_continue_proposal(self) -> None: + """Display the agent's proposal to continue.""" + self.console.print() + msg = ( + "[bold magenta] ↳ The agent believes it has enough " + "information to continue.[/bold magenta]" + ) + self.console.print(msg) + + def _display_dialog_end(self, dismissed_by: str) -> None: + """Display dialog conclusion message.""" + self.console.print() + if dismissed_by == "user": + self.console.print( + "[dim magenta] ✓ Dialog ended by user — agent resuming.[/dim magenta]" + ) + elif dismissed_by == "agent_approved": + self.console.print("[dim magenta] ✓ Agent continuing — dialog complete.[/dim magenta]") + elif dismissed_by == "declined": + self.console.print( + "[dim magenta] ✓ Dialog declined — agent will do" + " its best and continue.[/dim magenta]" + ) + self.console.print() + + async def _ask_engagement(self) -> str: + """Ask the user whether they want to engage in the dialog. + + Returns: + "engage" if the user wants to chat, "decline" to skip. + """ + self.console.print() + self.console.print("[bold]How would you like to proceed?[/bold]") + self.console.print(" [cyan][1][/cyan] Discuss this with the agent") + self.console.print(" [cyan][2][/cyan] Do your best and continue [dim](skip dialog)[/dim]") + + def _ask() -> str: + return Prompt.ask( + "\n[bold]Select[/bold]", + choices=["1", "2"], + default="1", + show_choices=True, + ) + + choice = await asyncio.to_thread(_ask) + return "engage" if choice == "1" else "decline" + + async def _get_user_input( + self, + prompt_text: str = "[bold magenta]You[/bold magenta]", + ) -> str | None: + """Get user input from the terminal. + + Runs in a thread to avoid blocking the event loop. + + Returns: + User input text, or None on EOF/error. + """ + try: + + def _ask() -> str: + return Prompt.ask(prompt_text) + + return await asyncio.to_thread(_ask) + except (EOFError, KeyboardInterrupt): + return None + + def _is_dismiss(self, text: str) -> bool: + """Check if user input is a dismiss signal.""" + return text.strip().lower() in DISMISS_KEYWORDS + + def _emit_event(self, event_type: str, data: dict[str, Any]) -> None: + """Emit a dialog event if emitter is available.""" + if self.emitter is not None: + import time + + from conductor.events import WorkflowEvent + + self.emitter.emit( + WorkflowEvent( + type=event_type, + timestamp=time.time(), + data=data, + ) + ) diff --git a/src/conductor/providers/base.py b/src/conductor/providers/base.py index 2b56c6b..adfba7f 100644 --- a/src/conductor/providers/base.py +++ b/src/conductor/providers/base.py @@ -165,6 +165,35 @@ async def execute( """ ... + async def execute_dialog_turn( + self, + system_prompt: str, + user_message: str, + history: list[dict[str, str]] | None = None, + model: str | None = None, + ) -> str: + """Execute a single dialog turn for agent-user conversation. + + Used by the dialog evaluator and dialog handler for lightweight + conversational exchanges. Creates a fresh, short-lived session + for each call — not tied to the agent's main execution session. + + Args: + system_prompt: System prompt providing dialog context. + user_message: The latest user message. + history: Optional prior conversation history as a list of + ``{"role": "user"|"assistant", "content": "..."}`` dicts. + model: Optional model override. If not provided, uses the + provider's default model. + + Returns: + The agent's response text. + + Raises: + ProviderError: If the dialog turn fails. + """ + raise NotImplementedError(f"{type(self).__name__} does not support dialog turns") + @abstractmethod async def validate_connection(self) -> bool: """Verify the provider can connect to its backend. diff --git a/src/conductor/providers/claude.py b/src/conductor/providers/claude.py index b3feec8..143d9b5 100644 --- a/src/conductor/providers/claude.py +++ b/src/conductor/providers/claude.py @@ -469,8 +469,71 @@ async def close(self) -> None: await client.close() logger.debug("Claude provider closed") - # Drop cached metadata so a re-initialized provider re-fetches. - self._max_input_cache = None + # Drop cached metadata so a re-initialized provider re-fetches. + self._max_input_cache = None + + async def execute_dialog_turn( + self, + system_prompt: str, + user_message: str, + history: list[dict[str, str]] | None = None, + model: str | None = None, + ) -> str: + """Execute a single dialog turn using the Claude messages API. + + Creates a lightweight message call with the conversation context + and returns the agent's response text. + + Args: + system_prompt: System prompt providing dialog context. + user_message: The latest user message. + history: Optional prior conversation history. + model: Optional model override. Falls back to provider default. + + Returns: + The agent's response text. + + Raises: + ProviderError: If the dialog turn fails. + """ + if self._client is None: + raise ProviderError( + "Claude client not initialized", + suggestion="Call validate_connection() first", + ) + + # Build messages list from history + current message + messages: list[dict[str, str]] = [] + for msg in history or []: + messages.append( + { + "role": msg["role"], + "content": msg["content"], + } + ) + messages.append({"role": "user", "content": user_message}) + + try: + response = await self._client.messages.create( + model=model or self._default_model, + max_tokens=4096, + system=system_prompt, + messages=messages, + ) + + # Extract text from response + text_parts = [] + for block in response.content: + if hasattr(block, "text"): + text_parts.append(block.text) + + return "\n".join(text_parts) if text_parts else "" + + except Exception as exc: + raise ProviderError( + f"Dialog turn failed: {exc}", + is_retryable=False, + ) from exc async def execute( self, diff --git a/src/conductor/providers/copilot.py b/src/conductor/providers/copilot.py index e9538bd..5becd26 100644 --- a/src/conductor/providers/copilot.py +++ b/src/conductor/providers/copilot.py @@ -1775,6 +1775,97 @@ async def validate_connection(self) -> bool: is_retryable=False, ) from e + async def execute_dialog_turn( + self, + system_prompt: str, + user_message: str, + history: list[dict[str, str]] | None = None, + model: str | None = None, + ) -> str: + """Execute a single dialog turn using a lightweight Copilot session. + + Creates a fresh session for the dialog, sends the conversation + context, and returns the agent's response. The session is destroyed + after the turn completes. + + Args: + system_prompt: System prompt providing dialog context. + user_message: The latest user message. + history: Optional prior conversation history. + model: Optional model override. Falls back to provider default. + + Returns: + The agent's response text. + + Raises: + ProviderError: If the dialog turn fails. + """ + await self._ensure_client_started() + + # Build the full prompt from history + current message + # System prompt is passed via create_session's system_message parameter + # to replace the SDK's default identity instructions. + parts = [] + for msg in history or []: + role_label = "User" if msg["role"] == "user" else "Assistant" + parts.append(f"{role_label}: {msg['content']}") + parts.append(f"User: {user_message}") + full_prompt = "\n\n".join(parts) + + session = None + try: + session = await self._client.create_session( + model=model or self._default_model, + on_permission_request=self._default_permission_handler, + system_message={"mode": "replace", "content": system_prompt}, + ) + + response_content = "" + done = asyncio.Event() + error_message: str | None = None + + def on_event(event: Any) -> None: + nonlocal response_content, error_message + event_type = event.type.value if hasattr(event.type, "value") else str(event.type) + if event_type == "assistant.message": + response_content = event.data.content + elif event_type == "session.idle": + done.set() + elif event_type in ("error", "session.error"): + error_message = getattr(event.data, "message", str(event.data)) + done.set() + + session.on(on_event) + await session.send(full_prompt) + + try: + await asyncio.wait_for(done.wait(), timeout=120.0) + except TimeoutError as exc: + raise ProviderError( + "Dialog turn timed out after 120s", + is_retryable=False, + ) from exc + + if error_message: + raise ProviderError( + f"Dialog turn error: {error_message}", + is_retryable=False, + ) + + return response_content + + except ProviderError: + raise + except Exception as exc: + raise ProviderError( + f"Dialog turn failed: {exc}", + is_retryable=False, + ) from exc + finally: + if session is not None: + with contextlib.suppress(Exception): + await session.destroy() + async def close(self) -> None: """Close Copilot SDK client. diff --git a/src/conductor/web/frontend/package-lock.json b/src/conductor/web/frontend/package-lock.json index aac1f7b..f2d2801 100644 --- a/src/conductor/web/frontend/package-lock.json +++ b/src/conductor/web/frontend/package-lock.json @@ -16,6 +16,7 @@ "react-dom": "^19.0.0", "react-markdown": "^10.1.0", "react-resizable-panels": "^2.1.7", + "remark-gfm": "^4.0.1", "tailwind-merge": "^2.6.0", "zustand": "^5.0.3" }, @@ -60,6 +61,7 @@ "integrity": "sha512-CGOfOJqWjg2qW/Mb6zNsDm+u5vFQ8DxXfbM09z69p5Z6+mE1ikP2jUXw+j42Pf1XTYED2Rni5f95npYeuwMDQA==", "dev": true, "license": "MIT", + "peer": true, "dependencies": { "@babel/code-frame": "^7.29.0", "@babel/generator": "^7.29.0", @@ -1661,6 +1663,7 @@ "resolved": "https://registry.npmjs.org/@types/react/-/react-19.2.14.tgz", "integrity": "sha512-ilcTH/UniCkMdtexkoCN0bI7pMcJDvmQFPvuPvmEaYA/NSfFTAgdUSLAoVjaRJm7+6PvcM+q1zYOwS4wTYMF9w==", "license": "MIT", + "peer": true, "dependencies": { "csstype": "^3.2.2" } @@ -1811,6 +1814,7 @@ } ], "license": "MIT", + "peer": true, "dependencies": { "baseline-browser-mapping": "^2.9.0", "caniuse-lite": "^1.0.30001759", @@ -1991,6 +1995,7 @@ "resolved": "https://registry.npmjs.org/d3-selection/-/d3-selection-3.0.0.tgz", "integrity": "sha512-fmTRWbNMmsmWq6xJV8D19U/gw/bwrHfNXxrIN+HfZgnzqTHp9jOmKMhsTUjXOJnZOdZY9Q28y4yebKzqDKlxlQ==", "license": "ISC", + "peer": true, "engines": { "node": ">=12" } @@ -2174,6 +2179,18 @@ "node": ">=6" } }, + "node_modules/escape-string-regexp": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-5.0.0.tgz", + "integrity": "sha512-/veY75JbMK4j1yjvuUxuVsiS/hr/4iHs9FTT6cgTexxdE0Ly/glccBAkloH/DofkjRbZU3bnoj38mOmhkZ0lHw==", + "license": "MIT", + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, "node_modules/estree-util-is-identifier-name": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/estree-util-is-identifier-name/-/estree-util-is-identifier-name-3.0.0.tgz", @@ -2695,6 +2712,32 @@ "@jridgewell/sourcemap-codec": "^1.5.5" } }, + "node_modules/markdown-table": { + "version": "3.0.4", + "resolved": "https://registry.npmjs.org/markdown-table/-/markdown-table-3.0.4.tgz", + "integrity": "sha512-wiYz4+JrLyb/DqW2hkFJxP7Vd7JuTDm77fvbM8VfEQdmSMqcImWeeRbHwZjBjIFki/VaMK2BhFi7oUUZeM5bqw==", + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } + }, + "node_modules/mdast-util-find-and-replace": { + "version": "3.0.2", + "resolved": "https://registry.npmjs.org/mdast-util-find-and-replace/-/mdast-util-find-and-replace-3.0.2.tgz", + "integrity": "sha512-Tmd1Vg/m3Xz43afeNxDIhWRtFZgM2VLyaf4vSTYwudTyeuTneoL3qtWMA5jeLyz/O1vDJmmV4QuScFCA2tBPwg==", + "license": "MIT", + "dependencies": { + "@types/mdast": "^4.0.0", + "escape-string-regexp": "^5.0.0", + "unist-util-is": "^6.0.0", + "unist-util-visit-parents": "^6.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, "node_modules/mdast-util-from-markdown": { "version": "2.0.3", "resolved": "https://registry.npmjs.org/mdast-util-from-markdown/-/mdast-util-from-markdown-2.0.3.tgz", @@ -2719,6 +2762,107 @@ "url": "https://opencollective.com/unified" } }, + "node_modules/mdast-util-gfm": { + "version": "3.1.0", + "resolved": "https://registry.npmjs.org/mdast-util-gfm/-/mdast-util-gfm-3.1.0.tgz", + "integrity": "sha512-0ulfdQOM3ysHhCJ1p06l0b0VKlhU0wuQs3thxZQagjcjPrlFRqY215uZGHHJan9GEAXd9MbfPjFJz+qMkVR6zQ==", + "license": "MIT", + "dependencies": { + "mdast-util-from-markdown": "^2.0.0", + "mdast-util-gfm-autolink-literal": "^2.0.0", + "mdast-util-gfm-footnote": "^2.0.0", + "mdast-util-gfm-strikethrough": "^2.0.0", + "mdast-util-gfm-table": "^2.0.0", + "mdast-util-gfm-task-list-item": "^2.0.0", + "mdast-util-to-markdown": "^2.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/mdast-util-gfm-autolink-literal": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/mdast-util-gfm-autolink-literal/-/mdast-util-gfm-autolink-literal-2.0.1.tgz", + "integrity": "sha512-5HVP2MKaP6L+G6YaxPNjuL0BPrq9orG3TsrZ9YXbA3vDw/ACI4MEsnoDpn6ZNm7GnZgtAcONJyPhOP8tNJQavQ==", + "license": "MIT", + "dependencies": { + "@types/mdast": "^4.0.0", + "ccount": "^2.0.0", + "devlop": "^1.0.0", + "mdast-util-find-and-replace": "^3.0.0", + "micromark-util-character": "^2.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/mdast-util-gfm-footnote": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/mdast-util-gfm-footnote/-/mdast-util-gfm-footnote-2.1.0.tgz", + "integrity": "sha512-sqpDWlsHn7Ac9GNZQMeUzPQSMzR6Wv0WKRNvQRg0KqHh02fpTz69Qc1QSseNX29bhz1ROIyNyxExfawVKTm1GQ==", + "license": "MIT", + "dependencies": { + "@types/mdast": 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"node_modules/mdast-util-mdx-expression": { "version": "2.0.1", "resolved": "https://registry.npmjs.org/mdast-util-mdx-expression/-/mdast-util-mdx-expression-2.0.1.tgz", @@ -2917,6 +3061,127 @@ "micromark-util-types": "^2.0.0" } }, + "node_modules/micromark-extension-gfm": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/micromark-extension-gfm/-/micromark-extension-gfm-3.0.0.tgz", + "integrity": "sha512-vsKArQsicm7t0z2GugkCKtZehqUm31oeGBV/KVSorWSy8ZlNAv7ytjFhvaryUiCUJYqs+NoE6AFhpQvBTM6Q4w==", + "license": "MIT", + "dependencies": { + "micromark-extension-gfm-autolink-literal": "^2.0.0", + "micromark-extension-gfm-footnote": "^2.0.0", + "micromark-extension-gfm-strikethrough": "^2.0.0", + "micromark-extension-gfm-table": "^2.0.0", + "micromark-extension-gfm-tagfilter": "^2.0.0", + "micromark-extension-gfm-task-list-item": "^2.0.0", + "micromark-util-combine-extensions": "^2.0.0", + "micromark-util-types": "^2.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/micromark-extension-gfm-autolink-literal": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/micromark-extension-gfm-autolink-literal/-/micromark-extension-gfm-autolink-literal-2.1.0.tgz", + "integrity": "sha512-oOg7knzhicgQ3t4QCjCWgTmfNhvQbDDnJeVu9v81r7NltNCVmhPy1fJRX27pISafdjL+SVc4d3l48Gb6pbRypw==", + "license": "MIT", + "dependencies": { + "micromark-util-character": "^2.0.0", + "micromark-util-sanitize-uri": "^2.0.0", + "micromark-util-symbol": "^2.0.0", + "micromark-util-types": "^2.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/micromark-extension-gfm-footnote": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/micromark-extension-gfm-footnote/-/micromark-extension-gfm-footnote-2.1.0.tgz", + "integrity": "sha512-/yPhxI1ntnDNsiHtzLKYnE3vf9JZ6cAisqVDauhp4CEHxlb4uoOTxOCJ+9s51bIB8U1N1FJ1RXOKTIlD5B/gqw==", + "license": "MIT", + "dependencies": { + "devlop": "^1.0.0", + "micromark-core-commonmark": "^2.0.0", + "micromark-factory-space": "^2.0.0", + "micromark-util-character": "^2.0.0", + "micromark-util-normalize-identifier": "^2.0.0", + "micromark-util-sanitize-uri": "^2.0.0", + "micromark-util-symbol": "^2.0.0", + "micromark-util-types": "^2.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/micromark-extension-gfm-strikethrough": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/micromark-extension-gfm-strikethrough/-/micromark-extension-gfm-strikethrough-2.1.0.tgz", + "integrity": "sha512-ADVjpOOkjz1hhkZLlBiYA9cR2Anf8F4HqZUO6e5eDcPQd0Txw5fxLzzxnEkSkfnD0wziSGiv7sYhk/ktvbf1uw==", + "license": "MIT", + "dependencies": { + "devlop": "^1.0.0", + "micromark-util-chunked": "^2.0.0", + "micromark-util-classify-character": "^2.0.0", + "micromark-util-resolve-all": "^2.0.0", + "micromark-util-symbol": "^2.0.0", + "micromark-util-types": "^2.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/micromark-extension-gfm-table": { + "version": "2.1.1", + "resolved": "https://registry.npmjs.org/micromark-extension-gfm-table/-/micromark-extension-gfm-table-2.1.1.tgz", + "integrity": "sha512-t2OU/dXXioARrC6yWfJ4hqB7rct14e8f7m0cbI5hUmDyyIlwv5vEtooptH8INkbLzOatzKuVbQmAYcbWoyz6Dg==", + "license": "MIT", + "dependencies": { + "devlop": "^1.0.0", + "micromark-factory-space": "^2.0.0", + "micromark-util-character": "^2.0.0", + "micromark-util-symbol": "^2.0.0", + "micromark-util-types": "^2.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/micromark-extension-gfm-tagfilter": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/micromark-extension-gfm-tagfilter/-/micromark-extension-gfm-tagfilter-2.0.0.tgz", + "integrity": "sha512-xHlTOmuCSotIA8TW1mDIM6X2O1SiX5P9IuDtqGonFhEK0qgRI4yeC6vMxEV2dgyr2TiD+2PQ10o+cOhdVAcwfg==", + "license": "MIT", + "dependencies": { + "micromark-util-types": "^2.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/micromark-extension-gfm-task-list-item": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/micromark-extension-gfm-task-list-item/-/micromark-extension-gfm-task-list-item-2.1.0.tgz", + "integrity": "sha512-qIBZhqxqI6fjLDYFTBIa4eivDMnP+OZqsNwmQ3xNLE4Cxwc+zfQEfbs6tzAo2Hjq+bh6q5F+Z8/cksrLFYWQQw==", + "license": "MIT", + "dependencies": { + "devlop": "^1.0.0", + "micromark-factory-space": "^2.0.0", + "micromark-util-character": "^2.0.0", + "micromark-util-symbol": "^2.0.0", + "micromark-util-types": "^2.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, "node_modules/micromark-factory-destination": { "version": "2.0.1", "resolved": "https://registry.npmjs.org/micromark-factory-destination/-/micromark-factory-destination-2.0.1.tgz", @@ -3360,6 +3625,7 @@ "integrity": "sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==", "dev": true, "license": "MIT", + "peer": true, "engines": { "node": ">=12" }, @@ -3420,6 +3686,7 @@ "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-19.2.4.tgz", "integrity": "sha512-AXJdLo8kgMbimY95O2aKQqsz2iWi9jMgKJhRBAxECE4IFxfcazB2LmzloIoibJI3C12IlY20+KFaLv+71bUJeQ==", "license": "MIT", + "peer": true, "dependencies": { "scheduler": "^0.27.0" }, @@ -3474,6 +3741,24 @@ "react-dom": "^16.14.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc" } }, + "node_modules/remark-gfm": { + "version": "4.0.1", + "resolved": "https://registry.npmjs.org/remark-gfm/-/remark-gfm-4.0.1.tgz", + "integrity": "sha512-1quofZ2RQ9EWdeN34S79+KExV1764+wCUGop5CPL1WGdD0ocPpu91lzPGbwWMECpEpd42kJGQwzRfyov9j4yNg==", + "license": "MIT", + "dependencies": { + "@types/mdast": "^4.0.0", + "mdast-util-gfm": "^3.0.0", + "micromark-extension-gfm": "^3.0.0", + "remark-parse": "^11.0.0", + "remark-stringify": "^11.0.0", + "unified": "^11.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, "node_modules/remark-parse": { "version": "11.0.0", "resolved": "https://registry.npmjs.org/remark-parse/-/remark-parse-11.0.0.tgz", @@ -3507,6 +3792,21 @@ "url": "https://opencollective.com/unified" } }, + "node_modules/remark-stringify": { + "version": "11.0.0", + "resolved": "https://registry.npmjs.org/remark-stringify/-/remark-stringify-11.0.0.tgz", + "integrity": "sha512-1OSmLd3awB/t8qdoEOMazZkNsfVTeY4fTsgzcQFdXNq8ToTN4ZGwrMnlda4K6smTFKD+GRV6O48i6Z4iKgPPpw==", + "license": "MIT", + "dependencies": { + "@types/mdast": "^4.0.0", + "mdast-util-to-markdown": "^2.0.0", + "unified": "^11.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, "node_modules/rollup": { "version": "4.59.0", "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.59.0.tgz", @@ -3863,6 +4163,7 @@ "integrity": "sha512-2N/55r4JDJ4gdrCvGgINMy+HH3iRpNIz8K6SFwVsA+JbQScLiC+clmAxBgwiSPgcG9U15QmvqCGWzMbqda5zGQ==", "dev": true, "license": "MIT", + "peer": true, "dependencies": { "esbuild": "^0.25.0", "fdir": "^6.4.4", diff --git a/src/conductor/web/frontend/package.json b/src/conductor/web/frontend/package.json index c9ba64e..8c56cba 100644 --- a/src/conductor/web/frontend/package.json +++ b/src/conductor/web/frontend/package.json @@ -17,6 +17,7 @@ "react-dom": "^19.0.0", "react-markdown": "^10.1.0", "react-resizable-panels": "^2.1.7", + "remark-gfm": "^4.0.1", "tailwind-merge": "^2.6.0", "zustand": "^5.0.3" }, diff --git a/src/conductor/web/frontend/src/components/detail/DetailPanel.tsx b/src/conductor/web/frontend/src/components/detail/DetailPanel.tsx index 83b6b03..0e005f3 100644 --- a/src/conductor/web/frontend/src/components/detail/DetailPanel.tsx +++ b/src/conductor/web/frontend/src/components/detail/DetailPanel.tsx @@ -6,6 +6,8 @@ import { AgentDetail } from './AgentDetail'; import { ScriptDetail } from './ScriptDetail'; import { GateDetail } from './GateDetail'; import { GroupDetail } from './GroupDetail'; +import { DialogDetail } from './DialogDetail'; +import { DialogEngagementPrompt } from './DialogEngagementPrompt'; import { SubworkflowDetail } from './SubworkflowDetail'; import { cn } from '@/lib/utils'; @@ -13,6 +15,7 @@ export function DetailPanel() { const selectedNode = useWorkflowStore((s) => s.selectedNode); const viewedNodes = useViewedNodes(); const selectNode = useWorkflowStore((s) => s.selectNode); + const dialogEngaged = useWorkflowStore((s) => s.dialogEngaged); // Slide-in animation state const [mounted, setMounted] = useState(false); @@ -38,6 +41,10 @@ export function DetailPanel() { } const DetailComponent = (() => { + // Show engagement prompt when dialog is active but user hasn't engaged yet + if (node.dialog_active && !dialogEngaged) return DialogEngagementPrompt; + // When dialog is active and engaged, show normal agent detail + if (node.dialog_active && dialogEngaged) return AgentDetail; switch (node.type) { case 'script': return ScriptDetail; diff --git a/src/conductor/web/frontend/src/components/detail/DialogDetail.tsx b/src/conductor/web/frontend/src/components/detail/DialogDetail.tsx new file mode 100644 index 0000000..695a01a --- /dev/null +++ b/src/conductor/web/frontend/src/components/detail/DialogDetail.tsx @@ -0,0 +1,206 @@ +import { useState, useRef, useEffect } from 'react'; +import ReactMarkdown from 'react-markdown'; +import remarkGfm from 'remark-gfm'; +import { Send, MessageCircle } from 'lucide-react'; +import { useWorkflowStore } from '@/stores/workflow-store'; +import type { NodeData } from '@/stores/workflow-store'; + +interface DialogDetailProps { + node: NodeData; +} + +function DialogMarkdown({ text }: { text: string }) { + return ( +
+

{children}

, + h2: ({ children }) =>

{children}

, + h3: ({ children }) =>

{children}

, + p: ({ children }) =>

{children}

, + ul: ({ children }) => , + ol: ({ children }) =>
    {children}
, + li: ({ children }) =>
  • {children}
    • , + code: ({ children, className }) => { + const isBlock = className?.includes('language-'); + if (isBlock) { + return ( + + {children} + + ); + } + return ( + + {children} + + ); + }, + pre: ({ children }) => ( + 
    +              {children}
+
    + ), + strong: ({ children }) => {children}, + em: ({ children }) => {children}, + a: ({ href, children }) => ( + + {children} + + ), + blockquote: ({ children }) => ( +
    + {children} +
    + ), + hr: () =>
    , + table: ({ children }) => ( +
    + {children}
    +
    + ), + th: ({ children }) => ( + {children} + ), + td: ({ children }) => ( + {children} + ), + }} + > + {text} +     +
    + ); +} + +export function DialogDetail({ node }: DialogDetailProps) { + const sendDialogMessage = useWorkflowStore((s) => s.sendDialogMessage); + const wsStatus = useWorkflowStore((s) => s.wsStatus); + + const [inputValue, setInputValue] = useState(''); + const messagesEndRef = useRef(null); + + const isActive = node.dialog_active === true; + const dialogId = node.dialog_id || ''; + const messages = node.dialog_messages || []; + const canSend = isActive && wsStatus === 'connected'; + + // Auto-scroll to bottom on new messages + useEffect(() => { + messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' }); + }, [messages.length, node.dialog_awaiting_response]); + + const handleSend = () => { + if (!inputValue.trim() || !canSend) return; + sendDialogMessage(node.name, dialogId, inputValue.trim()); + setInputValue(''); + }; + + const handleKeyDown = (e: React.KeyboardEvent) => { + if (e.key === 'Enter' && !e.shiftKey) { + e.preventDefault(); + handleSend(); + } + }; + + return ( +
    + {/* Header banner */} + {isActive ? ( +
    + + + + + + Dialog Mode + + + {messages.length} message{messages.length !== 1 ? 's' : ''} + +
    + ) : ( +
    + + + Dialog Completed + + + {messages.length} message{messages.length !== 1 ? 's' : ''} + +
    + )} + + {/* Messages area */} +
    + {messages.map((msg, idx) => ( +
    +
    +
    + {msg.role === 'agent' ? node.name : 'You'} +
    + +
    +
    + ))} + {node.dialog_awaiting_response && ( +
    +
    +
    {node.name}
    +
    + + + +
    +
    +
    + )} +
    +
    + + {/* Input area (shown when dialog is active) */} + {isActive && ( +
    +
    + setInputValue(e.target.value)} + onKeyDown={handleKeyDown} + placeholder="Type your message..." + className="flex-1 text-xs px-3 py-2 rounded-lg border border-[var(--border)] bg-[var(--bg)] text-[var(--text)] outline-none focus:border-fuchsia-400 transition-colors" + disabled={!canSend} + autoFocus + /> + +
    +

    + Press Enter to send · Type "done" to end dialog +

    +
    + )} +
    + ); +} diff --git a/src/conductor/web/frontend/src/components/detail/DialogEngagementPrompt.tsx b/src/conductor/web/frontend/src/components/detail/DialogEngagementPrompt.tsx new file mode 100644 index 0000000..239d227 --- /dev/null +++ b/src/conductor/web/frontend/src/components/detail/DialogEngagementPrompt.tsx @@ -0,0 +1,81 @@ +import { MessageCircle, X } from 'lucide-react'; +import ReactMarkdown from 'react-markdown'; +import remarkGfm from 'remark-gfm'; +import { useWorkflowStore } from '@/stores/workflow-store'; +import type { NodeData } from '@/stores/workflow-store'; + +interface DialogEngagementPromptProps { + node: NodeData; +} + +export function DialogEngagementPrompt({ node }: DialogEngagementPromptProps) { + const engageDialog = useWorkflowStore((s) => s.engageDialog); + const sendDialogDecline = useWorkflowStore((s) => s.sendDialogDecline); + const wsStatus = useWorkflowStore((s) => s.wsStatus); + + const dialogId = node.dialog_id || ''; + const messages = node.dialog_messages || []; + const canAct = wsStatus === 'connected'; + + // Show the first agent message (opening message) + const openingMessage = messages.find((m) => m.role === 'agent'); + + const handleDecline = () => { + if (!canAct) return; + sendDialogDecline(node.name, dialogId); + }; + + return ( +
    + {/* Active dialog banner */} +
    + + + + + + Dialog Requested + +
    + + {/* Opening agent message */} + {openingMessage && ( +
    +
    + {node.name} +
    +
    + + {openingMessage.content} + +
    +
    + )} + + {/* Engagement choice */} +
    +
    + How would you like to proceed? +
    +
    + + +
    +
    +
    + ); +} diff --git a/src/conductor/web/frontend/src/components/detail/DialogOverlay.tsx b/src/conductor/web/frontend/src/components/detail/DialogOverlay.tsx new file mode 100644 index 0000000..f94611a --- /dev/null +++ b/src/conductor/web/frontend/src/components/detail/DialogOverlay.tsx @@ -0,0 +1,30 @@ +import { useWorkflowStore } from '@/stores/workflow-store'; +import { DialogDetail } from './DialogDetail'; +import { MessageCircle } from 'lucide-react'; + +export function DialogOverlay() { + const activeDialog = useWorkflowStore((s) => s.activeDialog); + const nodes = useWorkflowStore((s) => s.nodes); + + if (!activeDialog) return null; + + const node = nodes[activeDialog.agentName]; + if (!node) return null; + + return ( +
    + {/* Header */} +
    + +

    + Dialog with {activeDialog.agentName} +

    +
    + + {/* Dialog content */} +
    + +
    +
    + ); +} diff --git a/src/conductor/web/frontend/src/components/layout/ResizableLayout.tsx b/src/conductor/web/frontend/src/components/layout/ResizableLayout.tsx index 8f44ff7..7a27ab3 100644 --- a/src/conductor/web/frontend/src/components/layout/ResizableLayout.tsx +++ b/src/conductor/web/frontend/src/components/layout/ResizableLayout.tsx @@ -3,9 +3,12 @@ import { WorkflowGraph } from '@/components/graph/WorkflowGraph'; import { DetailPanel } from '@/components/detail/DetailPanel'; import { OutputPane } from '@/components/layout/OutputPane'; import { useWorkflowStore } from '@/stores/workflow-store'; +import { DialogOverlay } from '@/components/detail/DialogOverlay'; export function ResizableLayout() { const selectedNode = useWorkflowStore((s) => s.selectedNode); + const activeDialog = useWorkflowStore((s) => s.activeDialog); + const dialogEngaged = useWorkflowStore((s) => s.dialogEngaged); return ( @@ -13,7 +16,7 @@ export function ResizableLayout() { - + {activeDialog && dialogEngaged ? : } {selectedNode && ( <> diff --git a/src/conductor/web/frontend/src/stores/workflow-store.ts b/src/conductor/web/frontend/src/stores/workflow-store.ts index acb862a..5c9785c 100644 --- a/src/conductor/web/frontend/src/stores/workflow-store.ts +++ b/src/conductor/web/frontend/src/stores/workflow-store.ts @@ -29,6 +29,9 @@ import type { ForEachCompletedData, AgentPausedData, AgentResumedData, + DialogStartedData, + DialogMessageData, + DialogCompletedData, SubworkflowStartedData, SubworkflowCompletedData, SubworkflowFailedData, @@ -114,6 +117,11 @@ export interface NodeData { startedAt?: number; // Iteration history (snapshots of completed previous iterations) iterationHistory?: IterationSnapshot[]; + // Dialog-specific + dialog_id?: string; + dialog_messages?: Array<{ role: 'user' | 'agent'; content: string }>; + dialog_active?: boolean; + dialog_awaiting_response?: boolean; } export interface GroupProgress { @@ -319,6 +327,12 @@ interface WorkflowState { _wsSend: ((data: object) => void) | null; setWsSend: (fn: ((data: object) => void) | null) => void; sendGateResponse: (agentName: string, selectedValue: string, additionalInput?: Record) => void; + // Dialog state + activeDialog: { agentName: string; dialogId: string } | null; + dialogEngaged: boolean; + engageDialog: () => void; + sendDialogMessage: (agentName: string, dialogId: string, message: string) => void; + sendDialogDecline: (agentName: string, dialogId: string) => void; } function ensureNode(nodes: Record, name: string, type: NodeType = 'agent'): NodeData { @@ -507,6 +521,41 @@ export const useWorkflowStore = create((set, get) => ({ } }, + activeDialog: null, + dialogEngaged: false, + + engageDialog: () => { + set({ dialogEngaged: true }); + }, + + sendDialogMessage: (agentName, dialogId, message) => { + const send = useWorkflowStore.getState()._wsSend; + if (send) { + send({ + type: 'dialog_message', + agent_name: agentName, + dialog_id: dialogId, + content: message, + }); + // No optimistic update — the server echoes the user message back as a + // `dialog_message` event with role='user', and the handler below flips + // `dialog_awaiting_response` accordingly. Keeps state transitions in one + // place and avoids a race where the agent reply arrives before the + // optimistic set commits. + } + }, + + sendDialogDecline: (agentName, dialogId) => { + const send = useWorkflowStore.getState()._wsSend; + if (send) { + send({ + type: 'dialog_decline', + agent_name: agentName, + dialog_id: dialogId, + }); + } + }, + processEvent: (event: WorkflowEvent) => { const handler = eventHandlers[event.type]; set((state) => { @@ -540,6 +589,8 @@ export const useWorkflowStore = create((set, get) => ({ activityLog: [], workflowOutput: null, workflowFailedAgent: null, + activeDialog: null, + dialogEngaged: false, wfDepth: 0, subworkflowContexts: [], activeContextPath: [], @@ -587,6 +638,8 @@ export const useWorkflowStore = create((set, get) => ({ activityLog: [], workflowOutput: null, workflowFailedAgent: null, + activeDialog: null, + dialogEngaged: false, wfDepth: 0, subworkflowContexts: [], activeContextPath: [], @@ -632,6 +685,8 @@ export const useWorkflowStore = create((set, get) => ({ forEachGroups: [], isPaused: false, lastEventTime: null, + activeDialog: null, + dialogEngaged: false, wfDepth: 0, subworkflowContexts: [], activeContextPath: [], @@ -1530,6 +1585,44 @@ const eventHandlers: Record { + const data = _data as unknown as DialogStartedData; + const nd = ensureNode(state.nodes, data.agent_name); + nd.dialog_id = data.dialog_id; + nd.dialog_messages = []; + nd.dialog_active = true; + nd.dialog_awaiting_response = false; + state.activeDialog = { agentName: data.agent_name, dialogId: data.dialog_id }; + state.dialogEngaged = false; + replaceNode(state.nodes, data.agent_name); + }, + + dialog_message: (state, _data) => { + const data = _data as unknown as DialogMessageData; + const nd = ensureNode(state.nodes, data.agent_name); + if (!nd.dialog_messages) nd.dialog_messages = []; + nd.dialog_messages.push({ role: data.role, content: data.content }); + // A user message means we're now waiting on the agent; an agent message + // means we're not. Centralizing the flag here (instead of optimistically + // toggling it in `sendDialogMessage`) keeps the state machine single-sourced. + if (data.role === 'user') { + nd.dialog_awaiting_response = true; + } else if (data.role === 'agent') { + nd.dialog_awaiting_response = false; + } + replaceNode(state.nodes, data.agent_name); + }, + + dialog_completed: (state, _data) => { + const data = _data as unknown as DialogCompletedData; + const nd = ensureNode(state.nodes, data.agent_name); + nd.dialog_active = false; + nd.dialog_awaiting_response = false; + state.activeDialog = null; + state.dialogEngaged = false; + replaceNode(state.nodes, data.agent_name); + }, }; // --- Build log entries from events --- @@ -1609,6 +1702,12 @@ function buildLogEntry(event: WorkflowEvent): LogEntry | null { case 'agent_resumed': return { timestamp: ts, level: 'info', source: String(d.agent_name), message: 'Agent resumed — re-executing' }; + case 'dialog_started': + return { timestamp: ts, level: 'warning', source: String(d.agent_name), message: 'Dialog started — waiting for user…' }; + + case 'dialog_completed': + return { timestamp: ts, level: 'success', source: String(d.agent_name), message: `Dialog completed (${d.turn_count || 0} messages)` }; + // Skip high-frequency streaming events from the log default: return null; diff --git a/src/conductor/web/frontend/src/types/events.ts b/src/conductor/web/frontend/src/types/events.ts index e90544e..f95a9d7 100644 --- a/src/conductor/web/frontend/src/types/events.ts +++ b/src/conductor/web/frontend/src/types/events.ts @@ -39,7 +39,10 @@ export type EventType = | 'workflow_failed' | 'checkpoint_saved' | 'agent_paused' - | 'agent_resumed'; + | 'agent_resumed' + | 'dialog_started' + | 'dialog_message' + | 'dialog_completed'; // --- Workflow lifecycle --- @@ -264,6 +267,30 @@ export interface AgentResumedData { agent_name: string; } +// --- Dialog events --- + +export interface DialogStartedData { + dialog_id: string; + agent_name: string; + opening_question: string; +} + +export interface DialogMessageData { + dialog_id: string; + agent_name: string; + role: 'user' | 'agent'; + content: string; +} + +export interface DialogCompletedData { + dialog_id: string; + agent_name: string; + turn_count: number; + user_dismissed?: boolean; + user_declined?: boolean; + agent_proposed_continue?: boolean; +} + // --- Subworkflow lifecycle --- export interface SubworkflowStartedData { diff --git a/src/conductor/web/server.py b/src/conductor/web/server.py index 75f86f1..8a9e141 100644 --- a/src/conductor/web/server.py +++ b/src/conductor/web/server.py @@ -78,6 +78,9 @@ def __init__( # Gate response channel (web client → engine) self._gate_response_queue: asyncio.Queue[dict[str, Any]] = asyncio.Queue() + # Dialog response channel (web client → engine) + self._dialog_response_queue: asyncio.Queue[dict[str, Any]] = asyncio.Queue() + # Auto-shutdown support (--web-bg) self._bg_event = asyncio.Event() self._grace_task: asyncio.Task[None] | None = None @@ -235,6 +238,11 @@ async def websocket_endpoint(ws: WebSocket) -> None: msg = json.loads(raw) if isinstance(msg, dict) and msg.get("type") == "gate_response": self._gate_response_queue.put_nowait(msg) + elif isinstance(msg, dict) and msg.get("type") in ( + "dialog_message", + "dialog_decline", + ): + self._dialog_response_queue.put_nowait(msg) except (json.JSONDecodeError, TypeError): pass # Ignore non-JSON messages (keep-alive pings) except WebSocketDisconnect: @@ -336,6 +344,36 @@ async def wait_for_gate_response(self, agent_name: str) -> dict[str, Any]: agent_name, ) + async def wait_for_dialog_message(self, agent_name: str, dialog_id: str) -> dict[str, Any]: + """Wait for a dialog message or decline from the web client. + + Blocks until a ``dialog_message`` or ``dialog_decline`` message is + received via WebSocket that matches both the given agent name and + dialog id. Messages from a stale or different dialog are dropped so + a re-entered dialog can't be confused with the previous one. + + Args: + agent_name: The name of the agent in dialog mode. + dialog_id: The dialog session identifier. + + Returns: + The dialog response payload dict with keys ``type`` + (``dialog_message`` or ``dialog_decline``) and optionally + ``content``. + """ + while True: + msg = await self._dialog_response_queue.get() + if msg.get("agent_name") == agent_name and msg.get("dialog_id") == dialog_id: + return msg + logger.warning( + "Discarding stale dialog message for agent %r / dialog %r " + "while waiting on agent %r / dialog %r", + msg.get("agent_name"), + msg.get("dialog_id"), + agent_name, + dialog_id, + ) + # ------------------------------------------------------------------ # Auto-shutdown (--web-bg) # ------------------------------------------------------------------ diff --git a/src/conductor/web/static/assets/index-Bj4GrM3A.css 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l=n;if(e.wfDepth===0){e.workflowStatus="running",e.workflowStartTime=r??Date.now()/1e3,e.workflowName=l.name||"",e.workflowYaml=n.yaml_source??null,e.conductorVersion=n.version??null,e.entryPoint=l.entry_point||null,e.agents=l.agents||[],e.routes=l.routes||[],e.parallelGroups=l.parallel_groups||[],e.forEachGroups=l.for_each_groups||[],Ge(e.nodes,"$start","start"),e.nodes.$start.status="running",Le(e.nodes,"$start");const o=new Set,u=new Set;for(const c of e.parallelGroups){for(const d of c.agents)o.add(d);u.add(c.name),Ge(e.nodes,c.name,"parallel_group"),e.groupProgress[c.name]={total:c.agents.length,completed:0,failed:0};for(const d of c.agents)Ge(e.nodes,d,"agent")}for(const c of e.forEachGroups)u.add(c.name),Ge(e.nodes,c.name,"for_each_group"),e.groupProgress[c.name]={total:0,completed:0,failed:0};for(const c of e.agents)if(!u.has(c.name)&&!o.has(c.name)){const d=c.type||"agent";Ge(e.nodes,c.name,d),c.model&&(e.nodes[c.name].model=c.model),u.add(c.name)}e.agentsTotal=u.size}else{const o=n.subworkflow_path,u=Array.isArray(o)&&o.length>0?((a=Vi(e.subworkflowContexts,o))==null?void 0:a.ctx)??null:qn(e.subworkflowContexts,e.activeContextPath);if(u){u.workflowName=l.name||"",u.status="running",u.entryPoint=l.entry_point||null,u.agents=l.agents||[],u.routes=l.routes||[],u.parallelGroups=l.parallel_groups||[],u.forEachGroups=l.for_each_groups||[],Ge(u.nodes,"$start","start"),u.nodes.$start.status="running";const c=new Set,d=new Set;for(const h of u.parallelGroups){for(const m of h.agents)c.add(m);d.add(h.name),Ge(u.nodes,h.name,"parallel_group"),u.groupProgress[h.name]={total:h.agents.length,completed:0,failed:0};for(const m of h.agents)Ge(u.nodes,m,"agent")}for(const h of u.forEachGroups)d.add(h.name),Ge(u.nodes,h.name,"for_each_group"),u.groupProgress[h.name]={total:0,completed:0,failed:0};for(const h of u.agents)if(!d.has(h.name)&&!c.has(h.name)){const m=h.type||"agent";Ge(u.nodes,h.name,m),h.model&&(u.nodes[h.name].model=h.model),d.add(h.name)}u.agentsTotal=d.size}}e.wfDepth++},agent_started:(e,n,r)=>{const l=n,a=ht(e,n),o=Ge(a.nodes,l.agent_name);o.iteration!=null&&(o.output!=null||o.error_type!=null)&&(o.iterationHistory||(o.iterationHistory=[]),o.iterationHistory.push({iteration:o.iteration,prompt:o.prompt,output:o.output,elapsed:o.elapsed,model:o.model,tokens:o.tokens,input_tokens:o.input_tokens,output_tokens:o.output_tokens,cost_usd:o.cost_usd,activity:o.activity,error_type:o.error_type,error_message:o.error_message})),o.status="running",o.iteration=l.iteration,o.startedAt=r??Date.now()/1e3,o.activity=[],l.context_window_max!=null&&(o.context_window_max=l.context_window_max),o.prompt=void 0,o.output=void 0,o.error_type=void 0,o.error_message=void 0,Le(a.nodes,l.agent_name)},agent_completed:(e,n)=>{const r=n,l=ht(e,n),a=Ge(l.nodes,r.agent_name);a.status="completed",l.incrCompleted(),a.elapsed=r.elapsed,a.model=r.model,a.tokens=r.tokens,a.input_tokens=r.input_tokens,a.output_tokens=r.output_tokens,a.cost_usd=r.cost_usd,a.output=r.output,a.output_keys=r.output_keys,a.context_window_used=r.context_window_used,a.context_window_max=r.context_window_max,r.context_window_used!=null&&r.context_window_max!=null&&r.context_window_max>0&&(a.context_pct=Math.round(r.context_window_used/r.context_window_max*100)),r.cost_usd&&l.addCost(r.cost_usd),r.tokens&&l.addTokens(r.tokens),Le(l.nodes,r.agent_name)},agent_failed:(e,n)=>{const r=n,l=ht(e,n),a=Ge(l.nodes,r.agent_name);a.status="failed",a.elapsed=r.elapsed,a.error_type=r.error_type,a.error_message=r.message;for(const o of l.routes)o.to===r.agent_name&&l.highlightedEdges.push({from:o.from,to:o.to,state:"failed"});Le(l.nodes,r.agent_name)},agent_prompt_rendered:(e,n)=>{var u;const r=n,l=n.item_key,a=ht(e,n),o=Ge(a.nodes,r.agent_name);if(o.prompt=r.rendered_prompt,o.context_keys=r.context_keys,l){go(a.nodes,r.agent_name,l,{type:"prompt",icon:"📝",label:"prompt",text:"Prompt rendered",detail:((u=r.rendered_prompt)==null?void 0:u.slice(0,500))||null});const c=a.nodes[r.agent_name];if(c!=null&&c.for_each_items){const d=c.for_each_items.find(h=>h.key===l);d&&(d.prompt=r.rendered_prompt)}}Le(a.nodes,r.agent_name)},agent_reasoning:(e,n)=>{const r=n,l=n.item_key,a=ht(e,n),o={type:"reasoning",icon:"💭",label:"thinking",text:r.content};zu(a.nodes,r.agent_name,o),l&&go(a.nodes,r.agent_name,l,o),Le(a.nodes,r.agent_name)},agent_tool_start:(e,n)=>{const r=n,l=n.item_key,a=ht(e,n),o={type:"tool-start",icon:"🔧",label:"tool",text:r.tool_name,detail:r.arguments||null};zu(a.nodes,r.agent_name,o),l&&go(a.nodes,r.agent_name,l,o),Le(a.nodes,r.agent_name)},agent_tool_complete:(e,n)=>{const r=n,l=n.item_key,a=ht(e,n),o={type:"tool-complete",icon:"✓",label:"result",text:r.tool_name||"done",detail:r.result||null};zu(a.nodes,r.agent_name,o),l&&go(a.nodes,r.agent_name,l,o),Le(a.nodes,r.agent_name)},agent_turn_start:(e,n)=>{const r=n,l=n.item_key,a=ht(e,n),o={type:"turn",icon:"⏳",label:"turn",text:`Turn ${r.turn??"?"}`};zu(a.nodes,r.agent_name,o),l&&go(a.nodes,r.agent_name,l,o),Le(a.nodes,r.agent_name)},agent_message:(e,n)=>{const r=n,l=ht(e,n),a=Ge(l.nodes,r.agent_name);a.latest_message=r.content,Le(l.nodes,r.agent_name)},script_started:(e,n,r)=>{const l=n,a=ht(e,n),o=Ge(a.nodes,l.agent_name);o.status="running",o.startedAt=r??Date.now()/1e3,Le(a.nodes,l.agent_name)},script_completed:(e,n)=>{const r=n,l=ht(e,n),a=Ge(l.nodes,r.agent_name);a.status="completed",l.incrCompleted(),a.elapsed=r.elapsed,a.stdout=r.stdout,a.stderr=r.stderr,a.exit_code=r.exit_code,Le(l.nodes,r.agent_name)},script_failed:(e,n)=>{const r=n,l=ht(e,n),a=Ge(l.nodes,r.agent_name);a.status="failed",a.elapsed=r.elapsed,a.error_type=r.error_type,a.error_message=r.message,Le(l.nodes,r.agent_name)},gate_presented:(e,n)=>{const r=n,l=ht(e,n),a=Ge(l.nodes,r.agent_name);a.status="waiting",a.options=r.options,a.option_details=r.option_details,a.prompt=r.prompt,Le(l.nodes,r.agent_name)},gate_resolved:(e,n)=>{const r=n,l=ht(e,n),a=Ge(l.nodes,r.agent_name);a.status="completed",l.incrCompleted(),a.selected_option=r.selected_option,a.route=r.route,a.additional_input=r.additional_input,Le(l.nodes,r.agent_name)},route_taken:(e,n)=>{const r=n;ht(e,n).highlightedEdges.push({from:r.from_agent,to:r.to_agent,state:"taken"})},parallel_started:(e,n)=>{const r=n,l=ht(e,n),a=Ge(l.nodes,r.group_name,"parallel_group");a.status="running",l.groupProgress[r.group_name]&&(l.groupProgress[r.group_name].total=r.agents.length,l.groupProgress[r.group_name].completed=0,l.groupProgress[r.group_name].failed=0),Le(l.nodes,r.group_name)},parallel_agent_completed:(e,n)=>{const r=n,l=ht(e,n);l.groupProgress[r.group_name]&&l.groupProgress[r.group_name].completed++;const a=Ge(l.nodes,r.agent_name);a.status="completed",a.elapsed=r.elapsed,a.model=r.model,a.tokens=r.tokens,a.cost_usd=r.cost_usd,a.context_window_used=r.context_window_used,a.context_window_max=r.context_window_max,r.context_window_used!=null&&r.context_window_max!=null&&r.context_window_max>0&&(a.context_pct=Math.round(r.context_window_used/r.context_window_max*100)),r.cost_usd&&l.addCost(r.cost_usd),r.tokens&&l.addTokens(r.tokens),Le(l.nodes,r.agent_name),Le(l.nodes,r.group_name)},parallel_agent_failed:(e,n)=>{const r=n,l=ht(e,n);l.groupProgress[r.group_name]&&l.groupProgress[r.group_name].failed++;const a=Ge(l.nodes,r.agent_name);a.status="failed",a.elapsed=r.elapsed,a.error_type=r.error_type,a.error_message=r.message,Le(l.nodes,r.agent_name),Le(l.nodes,r.group_name)},parallel_completed:(e,n)=>{const r=n,l=ht(e,n);l.incrCompleted();const a=Ge(l.nodes,r.group_name,"parallel_group");a.status=r.failure_count===0?"completed":"failed",Le(l.nodes,r.group_name)},for_each_started:(e,n)=>{const r=n,l=ht(e,n),a=Ge(l.nodes,r.group_name,"for_each_group");a.status="running",a.for_each_items=[],l.groupProgress[r.group_name]&&(l.groupProgress[r.group_name].total=r.item_count,l.groupProgress[r.group_name].completed=0,l.groupProgress[r.group_name].failed=0),Le(l.nodes,r.group_name)},for_each_item_started:(e,n)=>{const r=n,l=ht(e,n),a=Ge(l.nodes,r.group_name,"for_each_group");a.for_each_items||(a.for_each_items=[]),a.for_each_items.push({key:r.item_key??String(r.index),index:r.index,status:"running",activity:[]}),Le(l.nodes,r.group_name)},for_each_item_completed:(e,n)=>{const r=n,l=ht(e,n);l.groupProgress[r.group_name]&&l.groupProgress[r.group_name].completed++;const a=Ge(l.nodes,r.group_name,"for_each_group");if(a.for_each_items){const o=r.item_key??String(r.index),u=a.for_each_items.find(c=>c.key===o);u&&(u.status="completed",u.elapsed=r.elapsed,u.tokens=r.tokens,u.cost_usd=r.cost_usd,u.output=r.output)}Le(l.nodes,r.group_name)},for_each_item_failed:(e,n)=>{const r=n,l=ht(e,n);l.groupProgress[r.group_name]&&l.groupProgress[r.group_name].failed++;const a=Ge(l.nodes,r.group_name,"for_each_group");if(a.for_each_items){const o=r.item_key??String(r.index),u=a.for_each_items.find(c=>c.key===o);u&&(u.status="failed",u.elapsed=r.elapsed,u.error_type=r.error_type,u.error_message=r.message)}Le(l.nodes,r.group_name)},for_each_completed:(e,n)=>{const r=n,l=ht(e,n);l.incrCompleted();const a=Ge(l.nodes,r.group_name,"for_each_group");a.status=(r.failure_count??0)===0?"completed":"failed",a.elapsed=r.elapsed,a.success_count=r.success_count,a.failure_count=r.failure_count,Le(l.nodes,r.group_name)},workflow_completed:(e,n)=>{var r;if(e.wfDepth=Math.max(0,e.wfDepth-1),e.wfDepth===0){const l=n;e.workflowStatus="completed",e.isPaused=!1,e.workflowOutput=l.output??null,e.nodes.$end&&(e.nodes.$end.status="completed",Le(e.nodes,"$end")),e.nodes.$start&&(e.nodes.$start.status="completed",Le(e.nodes,"$start")),e.highlightedEdges=[]}else{const l=n,a=l.subworkflow_path?(r=Vi(e.subworkflowContexts,l.subworkflow_path))==null?void 0:r.ctx:qn(e.subworkflowContexts,e.activeContextPath);a&&(a.status="completed",a.workflowOutput=l.output??null,a.nodes.$end&&(a.nodes.$end.status="completed"),a.nodes.$start&&(a.nodes.$start.status="completed"),a.highlightedEdges=[])}},workflow_failed:(e,n)=>{var l;e.wfDepth=Math.max(0,e.wfDepth-1);const r=n;if(e.wfDepth===0){if(e.workflowStatus="failed",e.isPaused=!1,e.workflowFailedAgent=r.agent_name||null,r.agent_name&&e.nodes[r.agent_name]){e.nodes[r.agent_name].status="failed",Le(e.nodes,r.agent_name);for(const a of e.routes)a.to===r.agent_name&&e.highlightedEdges.push({from:a.from,to:a.to,state:"failed"})}e.workflowFailure={error_type:r.error_type,message:r.message,elapsed_seconds:r.elapsed_seconds,timeout_seconds:r.timeout_seconds,current_agent:r.current_agent},e.nodes.$start&&(e.nodes.$start.status="completed",Le(e.nodes,"$start"))}else{const a=r.subworkflow_path?(l=Vi(e.subworkflowContexts,r.subworkflow_path))==null?void 0:l.ctx:qn(e.subworkflowContexts,e.activeContextPath);a&&(a.status="failed",a.workflowFailure={error_type:r.error_type,message:r.message})}},subworkflow_started:(e,n)=>{const r=n,l=r.slot_key??(r.item_key!=null?`${r.agent_name}[${r.item_key}]`:r.agent_name),a=AN(r.agent_name,r.iteration??1,r.workflow,l);let o;if(r.parent_path!==void 0){const d=Vi(e.subworkflowContexts,r.parent_path);if(!d)return;o=d.indexPath}else o=e.activeContextPath;const u=e.viewContextPath.length===e.activeContextPath.length&&e.viewContextPath.every((d,h)=>d===e.activeContextPath[h]);let c;if(o.length===0)e.subworkflowContexts.push(a),c=[e.subworkflowContexts.length-1];else{const d=qn(e.subworkflowContexts,o);if(!d)return;d.children.push(a),c=[...o,d.children.length-1]}if(e.activeContextPath=c,u&&(e.viewContextPath=c),o.length===0){const d=e.nodes[r.agent_name];d&&(d.status="running",Le(e.nodes,r.agent_name))}else{const d=qn(e.subworkflowContexts,o);if(d){const h=d.nodes[r.agent_name];h&&(h.status="running",Le(d.nodes,r.agent_name))}}},subworkflow_completed:(e,n)=>{var o;const r=n;let l;if(r.parent_path!==void 0){const u=Vi(e.subworkflowContexts,r.parent_path);if(!u)return;l=u.indexPath}else l=e.activeContextPath;const a=l.length===0?e.nodes:(o=qn(e.subworkflowContexts,l))==null?void 0:o.nodes;if(a){const u=a[r.agent_name];if(u){if(r.item_key==null)if(u.status="completed",u.elapsed=r.elapsed,l.length===0)e.agentsCompleted++;else{const c=qn(e.subworkflowContexts,l);c&&c.agentsCompleted++}Le(a,r.agent_name)}}e.activeContextPath=l},subworkflow_failed:(e,n)=>{var o;const r=n;let l;if(r.parent_path!==void 0){const u=Vi(e.subworkflowContexts,r.parent_path);if(!u)return;l=u.indexPath}else l=e.activeContextPath;const a=l.length===0?e.nodes:(o=qn(e.subworkflowContexts,l))==null?void 0:o.nodes;if(a){const u=a[r.agent_name];u&&r.item_key==null&&(u.status="failed",u.elapsed=r.elapsed,u.error_type=r.error_type,u.error_message=r.message,Le(a,r.agent_name))}e.activeContextPath=l},checkpoint_saved:(e,n)=>{const r=n;r.path&&e.workflowFailure&&(e.workflowFailure={...e.workflowFailure,checkpoint_path:r.path})},agent_paused:(e,n)=>{const r=n,l=Ge(e.nodes,r.agent_name);l.status="waiting",l.activity.push({type:"agent_paused",icon:"⏸",label:"Paused",text:"Agent paused — click Resume to re-execute"}),Le(e.nodes,r.agent_name),e.isPaused=!0},agent_resumed:(e,n)=>{const r=n,l=Ge(e.nodes,r.agent_name);l.status="running",l.activity.push({type:"agent_resumed",icon:"▶",label:"Resumed",text:"Agent resumed — re-executing"}),Le(e.nodes,r.agent_name),e.isPaused=!1},dialog_started:(e,n)=>{const r=n,l=Ge(e.nodes,r.agent_name);l.dialog_id=r.dialog_id,l.dialog_messages=[],l.dialog_active=!0,l.dialog_awaiting_response=!1,e.activeDialog={agentName:r.agent_name,dialogId:r.dialog_id},e.dialogEngaged=!1,Le(e.nodes,r.agent_name)},dialog_message:(e,n)=>{const r=n,l=Ge(e.nodes,r.agent_name);l.dialog_messages||(l.dialog_messages=[]),l.dialog_messages.push({role:r.role,content:r.content}),r.role==="user"?l.dialog_awaiting_response=!0:r.role==="agent"&&(l.dialog_awaiting_response=!1),Le(e.nodes,r.agent_name)},dialog_completed:(e,n)=>{const r=n,l=Ge(e.nodes,r.agent_name);l.dialog_active=!1,l.dialog_awaiting_response=!1,e.activeDialog=null,e.dialogEngaged=!1,Le(e.nodes,r.agent_name)}};function Du(e){var l,a;const n=e.timestamp,r=e.data;switch(e.type){case"workflow_started":return{timestamp:n,level:"info",source:"workflow",message:`Workflow "${r.name||""}" started`};case"agent_started":return{timestamp:n,level:"info",source:String(r.agent_name),message:`Agent started${r.iteration!=null?` 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ee;(ee=B.current)==null||ee.update({onPaneContextMenu:e,zoomOnScroll:n,zoomOnPinch:r,panOnScroll:l,panOnScrollSpeed:a,panOnScrollMode:s,zoomOnDoubleClick:u,panOnDrag:f,zoomActivationKeyPressed:X,preventScrolling:v,noPanClassName:w,userSelectionActive:R,noWheelClassName:k,lib:D,onTransformChange:q,connectionInProgress:U,selectionOnDrag:A,paneClickDistance:E})},[e,n,r,l,a,s,u,f,X,v,w,R,k,D,q,U,A,E]),b.jsx("div",{className:"react-flow__renderer",ref:z,style:Nc,children:_})}const Lz=e=>({userSelectionActive:e.userSelectionActive,userSelectionRect:e.userSelectionRect});function Hz(){const{userSelectionActive:e,userSelectionRect:n}=Pe(Lz,ht);return e&&n?b.jsx("div",{className:"react-flow__selection react-flow__container",style:{width:n.width,height:n.height,transform:`translate(${n.x}px, ${n.y}px)`}}):null}const fh=(e,n)=>r=>{r.target===n.current&&(e==null||e(r))},Bz=e=>({userSelectionActive:e.userSelectionActive,elementsSelectable:e.elementsSelectable,connectionInProgress:e.connection.inProgress,dragging:e.paneDragging});function qz({isSelecting:e,selectionKeyPressed:n,selectionMode:r=Lo.Full,panOnDrag:l,paneClickDistance:a,selectionOnDrag:s,onSelectionStart:u,onSelectionEnd:f,onPaneClick:h,onPaneContextMenu:d,onPaneScroll:m,onPaneMouseEnter:p,onPaneMouseMove:y,onPaneMouseLeave:v,children:_}){const k=pt(),{userSelectionActive:w,elementsSelectable:S,dragging:T,connectionInProgress:E}=Pe(Bz,ht),A=S&&(e||w),I=V.useRef(null),z=V.useRef(),R=V.useRef(new Set),D=V.useRef(new Set),U=V.useRef(!1),X=Q=>{if(U.current||E){U.current=!1;return}h==null||h(Q),k.getState().resetSelectedElements(),k.setState({nodesSelectionActive:!1})},B=Q=>{if(Array.isArray(l)&&(l!=null&&l.includes(2))){Q.preventDefault();return}d==null||d(Q)},q=m?Q=>m(Q):void 0,ee=Q=>{U.current&&(Q.stopPropagation(),U.current=!1)},L=Q=>{var F,J;const{domNode:K}=k.getState();if(z.current=K==null?void 0:K.getBoundingClientRect(),!z.current)return;const j=Q.target===I.current;if(!j&&!!Q.target.closest(".nokey")||!e||!(s&&j||n)||Q.button!==0||!Q.isPrimary)return;(J=(F=Q.target)==null?void 0:F.setPointerCapture)==null||J.call(F,Q.pointerId),U.current=!1;const{x:N,y:G}=Vn(Q.nativeEvent,z.current);k.setState({userSelectionRect:{width:0,height:0,startX:N,startY:G,x:N,y:G}}),j||(Q.stopPropagation(),Q.preventDefault())},$=Q=>{const{userSelectionRect:K,transform:j,nodeLookup:H,edgeLookup:Y,connectionLookup:N,triggerNodeChanges:G,triggerEdgeChanges:F,defaultEdgeOptions:J,resetSelectedElements:ne}=k.getState();if(!z.current||!K)return;const{x:re,y:se}=Vn(Q.nativeEvent,z.current),{startX:ye,startY:be}=K;if(!U.current){const Ce=n?0:a;if(Math.hypot(re-ye,se-be)<=Ce)return;ne(),u==null||u(Q)}U.current=!0;const xe={startX:ye,startY:be,x:reCe.id)),D.current=new Set;const Me=(J==null?void 0:J.selectable)??!0;for(const Ce of R.current){const st=N.get(Ce);if(st)for(const{edgeId:tt}of st.values()){const zt=Y.get(tt);zt&&(zt.selectable??Me)&&D.current.add(tt)}}if(!av(pe,R.current)){const Ce=Kl(H,R.current,!0);G(Ce)}if(!av(_e,D.current)){const Ce=Kl(Y,D.current);F(Ce)}k.setState({userSelectionRect:xe,userSelectionActive:!0,nodesSelectionActive:!1})},M=Q=>{var K,j;Q.button===0&&((j=(K=Q.target)==null?void 0:K.releasePointerCapture)==null||j.call(K,Q.pointerId),!w&&Q.target===I.current&&k.getState().userSelectionRect&&(X==null||X(Q)),k.setState({userSelectionActive:!1,userSelectionRect:null}),U.current&&(f==null||f(Q),k.setState({nodesSelectionActive:R.current.size>0})))},P=l===!0||Array.isArray(l)&&l.includes(0);return b.jsxs("div",{className:At(["react-flow__pane",{draggable:P,dragging:T,selection:e}]),onClick:A?void 0:fh(X,I),onContextMenu:fh(B,I),onWheel:fh(q,I),onPointerEnter:A?void 0:p,onPointerMove:A?$:y,onPointerUp:A?M:void 0,onPointerDownCapture:A?L:void 0,onClickCapture:A?ee:void 0,onPointerLeave:v,ref:I,style:Nc,children:[_,b.jsx(Hz,{})]})}function Hp({id:e,store:n,unselect:r=!1,nodeRef:l}){const{addSelectedNodes:a,unselectNodesAndEdges:s,multiSelectionActive:u,nodeLookup:f,onError:h}=n.getState(),d=f.get(e);if(!d){h==null||h("012",rr.error012(e));return}n.setState({nodesSelectionActive:!1}),d.selected?(r||d.selected&&u)&&(s({nodes:[d],edges:[]}),requestAnimationFrame(()=>{var m;return(m=l==null?void 0:l.current)==null?void 0:m.blur()})):a([e])}function wS({nodeRef:e,disabled:n=!1,noDragClassName:r,handleSelector:l,nodeId:a,isSelectable:s,nodeClickDistance:u}){const f=pt(),[h,d]=V.useState(!1),m=V.useRef();return V.useEffect(()=>{m.current=NA({getStoreItems:()=>f.getState(),onNodeMouseDown:p=>{Hp({id:p,store:f,nodeRef:e})},onDragStart:()=>{d(!0)},onDragStop:()=>{d(!1)}})},[]),V.useEffect(()=>{if(!(n||!e.current||!m.current))return m.current.update({noDragClassName:r,handleSelector:l,domNode:e.current,isSelectable:s,nodeId:a,nodeClickDistance:u}),()=>{var p;(p=m.current)==null||p.destroy()}},[r,l,n,s,e,a,u]),h}const Uz=e=>n=>n.selected&&(n.draggable||e&&typeof n.draggable>"u");function SS(){const e=pt();return V.useCallback(r=>{const{nodeExtent:l,snapToGrid:a,snapGrid:s,nodesDraggable:u,onError:f,updateNodePositions:h,nodeLookup:d,nodeOrigin:m}=e.getState(),p=new Map,y=Uz(u),v=a?s[0]:5,_=a?s[1]:5,k=r.direction.x*v*r.factor,w=r.direction.y*_*r.factor;for(const[,S]of d){if(!y(S))continue;let T={x:S.internals.positionAbsolute.x+k,y:S.internals.positionAbsolute.y+w};a&&(T=Fo(T,s));const{position:E,positionAbsolute:A}=Vw({nodeId:S.id,nextPosition:T,nodeLookup:d,nodeExtent:l,nodeOrigin:m,onError:f});S.position=E,S.internals.positionAbsolute=A,p.set(S.id,S)}h(p)},[])}const xm=V.createContext(null),Iz=xm.Provider;xm.Consumer;const _S=()=>V.useContext(xm),Vz=e=>({connectOnClick:e.connectOnClick,noPanClassName:e.noPanClassName,rfId:e.rfId}),Gz=(e,n,r)=>l=>{const{connectionClickStartHandle:a,connectionMode:s,connection:u}=l,{fromHandle:f,toHandle:h,isValid:d}=u,m=(h==null?void 0:h.nodeId)===e&&(h==null?void 0:h.id)===n&&(h==null?void 0:h.type)===r;return{connectingFrom:(f==null?void 0:f.nodeId)===e&&(f==null?void 0:f.id)===n&&(f==null?void 0:f.type)===r,connectingTo:m,clickConnecting:(a==null?void 0:a.nodeId)===e&&(a==null?void 0:a.id)===n&&(a==null?void 0:a.type)===r,isPossibleEndHandle:s===aa.Strict?(f==null?void 0:f.type)!==r:e!==(f==null?void 0:f.nodeId)||n!==(f==null?void 0:f.id),connectionInProcess:!!f,clickConnectionInProcess:!!a,valid:m&&d}};function Pz({type:e="source",position:n=ve.Top,isValidConnection:r,isConnectable:l=!0,isConnectableStart:a=!0,isConnectableEnd:s=!0,id:u,onConnect:f,children:h,className:d,onMouseDown:m,onTouchStart:p,...y},v){var $,M;const _=u||null,k=e==="target",w=pt(),S=_S(),{connectOnClick:T,noPanClassName:E,rfId:A}=Pe(Vz,ht),{connectingFrom:I,connectingTo:z,clickConnecting:R,isPossibleEndHandle:D,connectionInProcess:U,clickConnectionInProcess:X,valid:B}=Pe(Gz(S,_,e),ht);S||(M=($=w.getState()).onError)==null||M.call($,"010",rr.error010());const q=P=>{const{defaultEdgeOptions:Q,onConnect:K,hasDefaultEdges:j}=w.getState(),H={...Q,...P};if(j){const{edges:Y,setEdges:N}=w.getState();N(uA(H,Y))}K==null||K(H),f==null||f(H)},ee=P=>{if(!S)return;const Q=Zw(P.nativeEvent);if(a&&(Q&&P.button===0||!Q)){const K=w.getState();Lp.onPointerDown(P.nativeEvent,{handleDomNode:P.currentTarget,autoPanOnConnect:K.autoPanOnConnect,connectionMode:K.connectionMode,connectionRadius:K.connectionRadius,domNode:K.domNode,nodeLookup:K.nodeLookup,lib:K.lib,isTarget:k,handleId:_,nodeId:S,flowId:K.rfId,panBy:K.panBy,cancelConnection:K.cancelConnection,onConnectStart:K.onConnectStart,onConnectEnd:(...j)=>{var H,Y;return(Y=(H=w.getState()).onConnectEnd)==null?void 0:Y.call(H,...j)},updateConnection:K.updateConnection,onConnect:q,isValidConnection:r||((...j)=>{var H,Y;return((Y=(H=w.getState()).isValidConnection)==null?void 0:Y.call(H,...j))??!0}),getTransform:()=>w.getState().transform,getFromHandle:()=>w.getState().connection.fromHandle,autoPanSpeed:K.autoPanSpeed,dragThreshold:K.connectionDragThreshold})}Q?m==null||m(P):p==null||p(P)},L=P=>{const{onClickConnectStart:Q,onClickConnectEnd:K,connectionClickStartHandle:j,connectionMode:H,isValidConnection:Y,lib:N,rfId:G,nodeLookup:F,connection:J}=w.getState();if(!S||!j&&!a)return;if(!j){Q==null||Q(P.nativeEvent,{nodeId:S,handleId:_,handleType:e}),w.setState({connectionClickStartHandle:{nodeId:S,type:e,id:_}});return}const ne=Fw(P.target),re=r||Y,{connection:se,isValid:ye}=Lp.isValid(P.nativeEvent,{handle:{nodeId:S,id:_,type:e},connectionMode:H,fromNodeId:j.nodeId,fromHandleId:j.id||null,fromType:j.type,isValidConnection:re,flowId:G,doc:ne,lib:N,nodeLookup:F});ye&&se&&q(se);const be=structuredClone(J);delete be.inProgress,be.toPosition=be.toHandle?be.toHandle.position:null,K==null||K(P,be),w.setState({connectionClickStartHandle:null})};return b.jsx("div",{"data-handleid":_,"data-nodeid":S,"data-handlepos":n,"data-id":`${A}-${S}-${_}-${e}`,className:At(["react-flow__handle",`react-flow__handle-${n}`,"nodrag",E,d,{source:!k,target:k,connectable:l,connectablestart:a,connectableend:s,clickconnecting:R,connectingfrom:I,connectingto:z,valid:B,connectionindicator:l&&(!U||D)&&(U||X?s:a)}]),onMouseDown:ee,onTouchStart:ee,onClick:T?L:void 0,ref:v,...y,children:h})}const Rt=V.memo(vS(Pz));function $z({data:e,isConnectable:n,sourcePosition:r=ve.Bottom}){return b.jsxs(b.Fragment,{children:[e==null?void 0:e.label,b.jsx(Rt,{type:"source",position:r,isConnectable:n})]})}function Yz({data:e,isConnectable:n,targetPosition:r=ve.Top,sourcePosition:l=ve.Bottom}){return b.jsxs(b.Fragment,{children:[b.jsx(Rt,{type:"target",position:r,isConnectable:n}),e==null?void 0:e.label,b.jsx(Rt,{type:"source",position:l,isConnectable:n})]})}function Xz(){return null}function Fz({data:e,isConnectable:n,targetPosition:r=ve.Top}){return b.jsxs(b.Fragment,{children:[b.jsx(Rt,{type:"target",position:r,isConnectable:n}),e==null?void 0:e.label]})}const oc={ArrowUp:{x:0,y:-1},ArrowDown:{x:0,y:1},ArrowLeft:{x:-1,y:0},ArrowRight:{x:1,y:0}},Lv={input:$z,default:Yz,output:Fz,group:Xz};function Qz(e){var n,r,l,a;return e.internals.handleBounds===void 0?{width:e.width??e.initialWidth??((n=e.style)==null?void 0:n.width),height:e.height??e.initialHeight??((r=e.style)==null?void 0:r.height)}:{width:e.width??((l=e.style)==null?void 0:l.width),height:e.height??((a=e.style)==null?void 0:a.height)}}const Zz=e=>{const{width:n,height:r,x:l,y:a}=Xo(e.nodeLookup,{filter:s=>!!s.selected});return{width:In(n)?n:null,height:In(r)?r:null,userSelectionActive:e.userSelectionActive,transformString:`translate(${e.transform[0]}px,${e.transform[1]}px) scale(${e.transform[2]}) translate(${l}px,${a}px)`}};function Kz({onSelectionContextMenu:e,noPanClassName:n,disableKeyboardA11y:r}){const l=pt(),{width:a,height:s,transformString:u,userSelectionActive:f}=Pe(Zz,ht),h=SS(),d=V.useRef(null);V.useEffect(()=>{var v;r||(v=d.current)==null||v.focus({preventScroll:!0})},[r]);const m=!f&&a!==null&&s!==null;if(wS({nodeRef:d,disabled:!m}),!m)return null;const p=e?v=>{const _=l.getState().nodes.filter(k=>k.selected);e(v,_)}:void 0,y=v=>{Object.prototype.hasOwnProperty.call(oc,v.key)&&(v.preventDefault(),h({direction:oc[v.key],factor:v.shiftKey?4:1}))};return b.jsx("div",{className:At(["react-flow__nodesselection","react-flow__container",n]),style:{transform:u},children:b.jsx("div",{ref:d,className:"react-flow__nodesselection-rect",onContextMenu:p,tabIndex:r?void 0:-1,onKeyDown:r?void 0:y,style:{width:a,height:s}})})}const Hv=typeof window<"u"?window:void 0,Jz=e=>({nodesSelectionActive:e.nodesSelectionActive,userSelectionActive:e.userSelectionActive});function ES({children:e,onPaneClick:n,onPaneMouseEnter:r,onPaneMouseMove:l,onPaneMouseLeave:a,onPaneContextMenu:s,onPaneScroll:u,paneClickDistance:f,deleteKeyCode:h,selectionKeyCode:d,selectionOnDrag:m,selectionMode:p,onSelectionStart:y,onSelectionEnd:v,multiSelectionKeyCode:_,panActivationKeyCode:k,zoomActivationKeyCode:w,elementsSelectable:S,zoomOnScroll:T,zoomOnPinch:E,panOnScroll:A,panOnScrollSpeed:I,panOnScrollMode:z,zoomOnDoubleClick:R,panOnDrag:D,defaultViewport:U,translateExtent:X,minZoom:B,maxZoom:q,preventScrolling:ee,onSelectionContextMenu:L,noWheelClassName:$,noPanClassName:M,disableKeyboardA11y:P,onViewportChange:Q,isControlledViewport:K}){const{nodesSelectionActive:j,userSelectionActive:H}=Pe(Jz,ht),Y=qo(d,{target:Hv}),N=qo(k,{target:Hv}),G=N||D,F=N||A,J=m&&G!==!0,ne=Y||H||J;return jz({deleteKeyCode:h,multiSelectionKeyCode:_}),b.jsx(Rz,{onPaneContextMenu:s,elementsSelectable:S,zoomOnScroll:T,zoomOnPinch:E,panOnScroll:F,panOnScrollSpeed:I,panOnScrollMode:z,zoomOnDoubleClick:R,panOnDrag:!Y&&G,defaultViewport:U,translateExtent:X,minZoom:B,maxZoom:q,zoomActivationKeyCode:w,preventScrolling:ee,noWheelClassName:$,noPanClassName:M,onViewportChange:Q,isControlledViewport:K,paneClickDistance:f,selectionOnDrag:J,children:b.jsxs(qz,{onSelectionStart:y,onSelectionEnd:v,onPaneClick:n,onPaneMouseEnter:r,onPaneMouseMove:l,onPaneMouseLeave:a,onPaneContextMenu:s,onPaneScroll:u,panOnDrag:G,isSelecting:!!ne,selectionMode:p,selectionKeyPressed:Y,paneClickDistance:f,selectionOnDrag:J,children:[e,j&&b.jsx(Kz,{onSelectionContextMenu:L,noPanClassName:M,disableKeyboardA11y:P})]})})}ES.displayName="FlowRenderer";const Wz=V.memo(ES),eM=e=>n=>e?um(n.nodeLookup,{x:0,y:0,width:n.width,height:n.height},n.transform,!0).map(r=>r.id):Array.from(n.nodeLookup.keys());function tM(e){return Pe(V.useCallback(eM(e),[e]),ht)}const nM=e=>e.updateNodeInternals;function rM(){const e=Pe(nM),[n]=V.useState(()=>typeof ResizeObserver>"u"?null:new ResizeObserver(r=>{const l=new Map;r.forEach(a=>{const s=a.target.getAttribute("data-id");l.set(s,{id:s,nodeElement:a.target,force:!0})}),e(l)}));return V.useEffect(()=>()=>{n==null||n.disconnect()},[n]),n}function iM({node:e,nodeType:n,hasDimensions:r,resizeObserver:l}){const a=pt(),s=V.useRef(null),u=V.useRef(null),f=V.useRef(e.sourcePosition),h=V.useRef(e.targetPosition),d=V.useRef(n),m=r&&!!e.internals.handleBounds;return V.useEffect(()=>{s.current&&!e.hidden&&(!m||u.current!==s.current)&&(u.current&&(l==null||l.unobserve(u.current)),l==null||l.observe(s.current),u.current=s.current)},[m,e.hidden]),V.useEffect(()=>()=>{u.current&&(l==null||l.unobserve(u.current),u.current=null)},[]),V.useEffect(()=>{if(s.current){const p=d.current!==n,y=f.current!==e.sourcePosition,v=h.current!==e.targetPosition;(p||y||v)&&(d.current=n,f.current=e.sourcePosition,h.current=e.targetPosition,a.getState().updateNodeInternals(new Map([[e.id,{id:e.id,nodeElement:s.current,force:!0}]])))}},[e.id,n,e.sourcePosition,e.targetPosition]),s}function lM({id:e,onClick:n,onMouseEnter:r,onMouseMove:l,onMouseLeave:a,onContextMenu:s,onDoubleClick:u,nodesDraggable:f,elementsSelectable:h,nodesConnectable:d,nodesFocusable:m,resizeObserver:p,noDragClassName:y,noPanClassName:v,disableKeyboardA11y:_,rfId:k,nodeTypes:w,nodeClickDistance:S,onError:T}){const{node:E,internals:A,isParent:I}=Pe(re=>{const se=re.nodeLookup.get(e),ye=re.parentLookup.has(e);return{node:se,internals:se.internals,isParent:ye}},ht);let z=E.type||"default",R=(w==null?void 0:w[z])||Lv[z];R===void 0&&(T==null||T("003",rr.error003(z)),z="default",R=(w==null?void 0:w.default)||Lv.default);const D=!!(E.draggable||f&&typeof E.draggable>"u"),U=!!(E.selectable||h&&typeof E.selectable>"u"),X=!!(E.connectable||d&&typeof E.connectable>"u"),B=!!(E.focusable||m&&typeof E.focusable>"u"),q=pt(),ee=Yw(E),L=iM({node:E,nodeType:z,hasDimensions:ee,resizeObserver:p}),$=wS({nodeRef:L,disabled:E.hidden||!D,noDragClassName:y,handleSelector:E.dragHandle,nodeId:e,isSelectable:U,nodeClickDistance:S}),M=SS();if(E.hidden)return null;const P=Or(E),Q=Qz(E),K=U||D||n||r||l||a,j=r?re=>r(re,{...A.userNode}):void 0,H=l?re=>l(re,{...A.userNode}):void 0,Y=a?re=>a(re,{...A.userNode}):void 0,N=s?re=>s(re,{...A.userNode}):void 0,G=u?re=>u(re,{...A.userNode}):void 0,F=re=>{const{selectNodesOnDrag:se,nodeDragThreshold:ye}=q.getState();U&&(!se||!D||ye>0)&&Hp({id:e,store:q,nodeRef:L}),n&&n(re,{...A.userNode})},J=re=>{if(!(Qw(re.nativeEvent)||_)){if(Hw.includes(re.key)&&U){const se=re.key==="Escape";Hp({id:e,store:q,unselect:se,nodeRef:L})}else 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b/src/conductor/web/static/index.html @@ -5,8 +5,8 @@ Conductor Dashboard - - + +
    diff --git a/tests/test_config/test_dialog_schema.py b/tests/test_config/test_dialog_schema.py new file mode 100644 index 0000000..a7f86d0 --- /dev/null +++ b/tests/test_config/test_dialog_schema.py @@ -0,0 +1,98 @@ +"""Tests for dialog mode schema validation.""" + +from __future__ import annotations + +import pytest +from pydantic import ValidationError + +from conductor.config.schema import ( + AgentDef, + DialogConfig, + GateOption, + RouteDef, +) + + +class TestDialogConfig: + """Tests for DialogConfig model.""" + + def test_valid_dialog_config(self) -> None: + """Test creating a valid dialog config.""" + config = DialogConfig(trigger_prompt="Enter dialog if uncertain") + assert config.trigger_prompt == "Enter dialog if uncertain" + + def test_dialog_config_requires_trigger_prompt(self) -> None: + """Test that trigger_prompt is required.""" + with pytest.raises(ValidationError, match="trigger_prompt"): + DialogConfig() # type: ignore[call-arg] + + def test_multiline_trigger_prompt(self) -> None: + """Test that multiline trigger prompts work.""" + config = DialogConfig(trigger_prompt="Enter dialog if:\n- uncertain\n- needs clarification") + assert "\n" in config.trigger_prompt + + +class TestAgentDefDialog: + """Tests for dialog field on AgentDef.""" + + def test_agent_with_dialog(self) -> None: + """Test creating a regular agent with dialog config.""" + agent = AgentDef( + name="researcher", + prompt="Research the topic", + dialog=DialogConfig( + trigger_prompt="Enter dialog if uncertain about scope", + ), + ) + assert agent.dialog is not None + assert agent.dialog.trigger_prompt == "Enter dialog if uncertain about scope" + + def test_agent_without_dialog(self) -> None: + """Test that dialog defaults to None.""" + agent = AgentDef(name="researcher", prompt="Research the topic") + assert agent.dialog is None + + def test_human_gate_cannot_have_dialog(self) -> None: + """Test that human_gate agents cannot have dialog config.""" + with pytest.raises(ValidationError, match="human_gate agents cannot have 'dialog'"): + AgentDef( + name="gate", + type="human_gate", + prompt="Choose an option", + options=[GateOption(label="Continue", value="continue", route="next")], + dialog=DialogConfig(trigger_prompt="test"), + ) + + def test_script_cannot_have_dialog(self) -> None: + """Test that script agents cannot have dialog config.""" + with pytest.raises(ValidationError, match="script agents cannot have 'dialog'"): + AgentDef( + name="runner", + type="script", + command="echo hello", + dialog=DialogConfig(trigger_prompt="test"), + ) + + def test_workflow_cannot_have_dialog(self) -> None: + """Test that workflow agents cannot have dialog config.""" + with pytest.raises(ValidationError, match="workflow agents cannot have 'dialog'"): + AgentDef( + name="sub", + type="workflow", + workflow="./sub.yaml", + dialog=DialogConfig(trigger_prompt="test"), + ) + + def test_agent_with_dialog_and_routes(self) -> None: + """Test that agents with dialog can also have routes.""" + agent = AgentDef( + name="researcher", + prompt="Research the topic", + dialog=DialogConfig(trigger_prompt="Enter dialog if uncertain"), + routes=[ + RouteDef(to="next_agent", when="{{ output.result == 'done' }}"), + RouteDef(to="$end"), + ], + ) + assert agent.dialog is not None + assert len(agent.routes) == 2 diff --git a/tests/test_engine/test_dialog_evaluator.py b/tests/test_engine/test_dialog_evaluator.py new file mode 100644 index 0000000..1cd86da --- /dev/null +++ b/tests/test_engine/test_dialog_evaluator.py @@ -0,0 +1,206 @@ +"""Tests for the dialog evaluator.""" + +from __future__ import annotations + +from unittest.mock import AsyncMock, MagicMock + +import pytest + +from conductor.config.schema import AgentDef, DialogConfig +from conductor.engine.dialog_evaluator import DialogEvaluator + + +class TestDialogEvaluatorParsing: + """Tests for the evaluator response parsing.""" + + def setup_method(self) -> None: + self.evaluator = DialogEvaluator() + + def test_parse_valid_trigger_response(self) -> None: + """Test parsing a valid trigger=true response.""" + response = ( + '{"trigger": true, "reason": "Agent is uncertain", "question": "What do you mean?"}' + ) + result = self.evaluator._parse_evaluation(response) + assert result.trigger is True + assert result.reason == "Agent is uncertain" + assert result.question == "What do you mean?" + + def test_parse_valid_no_trigger_response(self) -> None: + """Test parsing a valid trigger=false response.""" + response = '{"trigger": false, "reason": "Output is clear"}' + result = self.evaluator._parse_evaluation(response) + assert result.trigger is False + assert result.reason == "Output is clear" + + def test_parse_markdown_wrapped_json(self) -> None: + """Test parsing JSON wrapped in markdown code blocks.""" + response = '```json\n{"trigger": true, "reason": "test", "question": "What?"}\n```' + result = self.evaluator._parse_evaluation(response) + assert result.trigger is True + assert result.question == "What?" + + def test_parse_invalid_json_returns_no_trigger(self) -> None: + """Test that invalid JSON gracefully returns no trigger.""" + response = "This is not JSON at all" + result = self.evaluator._parse_evaluation(response) + assert result.trigger is False + assert "Failed to parse" in result.reason + + def test_parse_empty_response(self) -> None: + """Test that empty response returns no trigger.""" + result = self.evaluator._parse_evaluation("") + assert result.trigger is False + + def test_parse_missing_fields_defaults(self) -> None: + """Test that missing fields use defaults.""" + response = '{"trigger": true}' + result = self.evaluator._parse_evaluation(response) + assert result.trigger is True + assert result.reason == "" + assert result.question == "" + + def test_parse_unterminated_code_fence_keeps_last_line(self) -> None: + """Unterminated ```json fences must not slice off the last JSON line.""" + # No closing ``` — the previous parser dropped the last line and failed. + response = '```json\n{"trigger": true, "reason": "ok"}' + result = self.evaluator._parse_evaluation(response) + assert result.trigger is True + assert result.reason == "ok" + + def test_parse_terminated_code_fence_strips_both(self) -> None: + """Closing fence must still be stripped when present.""" + response = '```\n{"trigger": false, "reason": "clear"}\n```' + result = self.evaluator._parse_evaluation(response) + assert result.trigger is False + assert result.reason == "clear" + + +class TestEvaluatorTruncation: + """Tests for the agent-output truncation marker.""" + + def test_truncate_below_limit_unchanged(self) -> None: + from conductor.engine.dialog_evaluator import _truncate_for_evaluator + + text = "abc" + assert _truncate_for_evaluator(text, limit=10) == "abc" + + def test_truncate_above_limit_appends_marker(self) -> None: + from conductor.engine.dialog_evaluator import _truncate_for_evaluator + + text = "x" * 6000 + result = _truncate_for_evaluator(text, limit=4000) + assert result.endswith("…[truncated]") + assert len(result) <= 4000 + + @pytest.mark.asyncio + async def test_evaluate_truncates_large_output(self) -> None: + """Large agent outputs should reach the evaluator with a marker.""" + evaluator = DialogEvaluator() + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="Enter dialog if uncertain"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock( + return_value='{"trigger": false, "reason": "clear"}' + ) + + # 5000+ char output to force truncation + big_output = {"text": "x" * 5500} + await evaluator.evaluate(agent, big_output, provider) + + call_args = provider.execute_dialog_turn.call_args + user_message = call_args.kwargs["user_message"] + assert "…[truncated]" in user_message + + +class TestDialogEvaluatorEvaluate: + """Tests for the full evaluate() method.""" + + def setup_method(self) -> None: + self.evaluator = DialogEvaluator() + + @pytest.mark.asyncio + async def test_no_dialog_config_returns_no_trigger(self) -> None: + """Test that agents without dialog config never trigger.""" + agent = AgentDef(name="test", prompt="test") + provider = MagicMock() + result = await self.evaluator.evaluate(agent, {"result": "test"}, provider) + assert result.trigger is False + assert result.reason == "No dialog config" + + @pytest.mark.asyncio + async def test_evaluator_calls_provider(self) -> None: + """Test that the evaluator makes an LLM call via the provider.""" + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="Enter dialog if uncertain"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock( + return_value=( + '{"trigger": true, "reason": "Agent is uncertain", "question": "What do you need?"}' + ) + ) + + result = await self.evaluator.evaluate( + agent, {"result": "I am uncertain about this."}, provider + ) + assert result.trigger is True + assert result.question == "What do you need?" + provider.execute_dialog_turn.assert_called_once() + + @pytest.mark.asyncio + async def test_evaluator_no_trigger(self) -> None: + """Test evaluator correctly returns no trigger.""" + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="Enter dialog if uncertain"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock( + return_value='{"trigger": false, "reason": "All clear"}' + ) + + result = await self.evaluator.evaluate(agent, {"result": "Clear output."}, provider) + assert result.trigger is False + provider.execute_dialog_turn.assert_called_once() + + @pytest.mark.asyncio + async def test_evaluator_failure_returns_no_trigger(self) -> None: + """Test that evaluator LLM failure gracefully returns no trigger.""" + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="Enter dialog if uncertain"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock(side_effect=Exception("API error")) + + result = await self.evaluator.evaluate(agent, {"result": "test"}, provider) + assert result.trigger is False + assert result.reason == "Evaluation failed" + + @pytest.mark.asyncio + async def test_evaluator_prompt_includes_trigger_criteria(self) -> None: + """Test that the evaluator prompt includes the trigger_prompt criteria.""" + agent = AgentDef( + name="my_agent", + prompt="test", + dialog=DialogConfig(trigger_prompt="Trigger when confused"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock( + return_value='{"trigger": false, "reason": "nope"}' + ) + + await self.evaluator.evaluate(agent, {"result": "hello"}, provider) + + # Verify the system prompt contains the trigger criteria + call_args = provider.execute_dialog_turn.call_args + assert "Trigger when confused" in call_args.kwargs["system_prompt"] + assert "my_agent" in call_args.kwargs["user_message"] diff --git a/tests/test_engine/test_dialog_integration.py b/tests/test_engine/test_dialog_integration.py new file mode 100644 index 0000000..dfb8ee7 --- /dev/null +++ b/tests/test_engine/test_dialog_integration.py @@ -0,0 +1,116 @@ +"""End-to-end integration test for dialog mode. + +Exercises the real `WorkflowEngine` path: agent executes → evaluator triggers → +dialog handler runs the conversation → agent re-executes with the dialog +transcript injected into its guidance section. Pure-mock all I/O so there's no +SDK or network dependency. +""" + +from __future__ import annotations + +from typing import Any +from unittest.mock import AsyncMock, patch + +import pytest + +from conductor.config.schema import ( + AgentDef, + ContextConfig, + DialogConfig, + LimitsConfig, + OutputField, + RouteDef, + RuntimeConfig, + WorkflowConfig, + WorkflowDef, +) +from conductor.engine.workflow import WorkflowEngine +from conductor.providers.copilot import CopilotProvider + + +@pytest.mark.asyncio +async def test_dialog_triggers_then_re_executes_with_transcript() -> None: + """Full integration: dialog triggers → user converses → agent re-runs with transcript. + + Asserts that: + - the agent runs twice (initial output + post-dialog re-execution) + - the second run's rendered prompt contains the dialog transcript + """ + captured_prompts: list[str] = [] + handler_call_count = 0 + + def mock_handler(agent: AgentDef, prompt: str, context: dict[str, Any]) -> dict[str, Any]: + nonlocal handler_call_count + handler_call_count += 1 + captured_prompts.append(prompt) + if handler_call_count == 1: + return {"answer": "I'm uncertain about the constraints."} + return {"answer": "After our chat, the answer is X."} + + provider = CopilotProvider(mock_handler=mock_handler) + + # Mock the provider's dialog-turn API used by both the evaluator and + # the dialog handler. The order of calls is: + # 1. evaluator.evaluate() -> returns trigger=true JSON + # 2. dialog handler turn 1 -> returns agent reply with terminal READY marker + dialog_turn_responses = [ + '{"trigger": true, "reason": "uncertain", "question": "What did you mean by X?"}', + "Got it, ready to proceed. [READY_TO_CONTINUE]", + ] + provider.execute_dialog_turn = AsyncMock(side_effect=dialog_turn_responses) # type: ignore[method-assign] + + config = WorkflowConfig( + workflow=WorkflowDef( + name="dialog-integration", + entry_point="advisor", + runtime=RuntimeConfig(provider="copilot"), + context=ContextConfig(mode="accumulate"), + limits=LimitsConfig(max_iterations=5), + ), + agents=[ + AgentDef( + name="advisor", + model="gpt-4", + prompt="Advise on: {{ workflow.input.topic }}", + output={"answer": OutputField(type="string")}, + dialog=DialogConfig(trigger_prompt="Trigger if the agent is uncertain"), + routes=[RouteDef(to="$end")], + ), + ], + output={"answer": "{{ advisor.output.answer }}"}, + ) + + engine = WorkflowEngine(config, provider) + + # Engage in CLI mode: patch the dialog handler's interactive prompts. + with ( + patch.object( + engine._dialog_handler, + "_ask_engagement", + new_callable=AsyncMock, + return_value="engage", + ), + patch.object( + engine._dialog_handler, + "_get_user_input", + new_callable=AsyncMock, + # First: user's content message; second: 'yes' to approve agent's continue proposal. + side_effect=["please clarify the constraints", "yes"], + ), + ): + result = await engine.run({"topic": "production rollout"}) + + # The agent must have been called twice (initial + re-execute after dialog) + assert handler_call_count == 2, ( + f"Expected agent to run twice, got {handler_call_count}. " + "Dialog re-execution did not happen." + ) + + # Workflow output reflects the post-dialog answer + assert result["answer"] == "After our chat, the answer is X." + + # The re-execution prompt MUST contain the dialog transcript markers + re_execution_prompt = captured_prompts[1] + assert "--- DIALOG WITH USER ---" in re_execution_prompt + assert "--- END DIALOG ---" in re_execution_prompt + assert "please clarify the constraints" in re_execution_prompt diff --git a/tests/test_gates/test_dialog.py b/tests/test_gates/test_dialog.py new file mode 100644 index 0000000..b9bea73 --- /dev/null +++ b/tests/test_gates/test_dialog.py @@ -0,0 +1,628 @@ +"""Tests for the dialog handler.""" + +from __future__ import annotations + +from typing import Any +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +from conductor.config.schema import AgentDef, DialogConfig +from conductor.gates.dialog import DialogHandler, DialogResult + + +class TestDialogHandlerSkip: + """Tests for dialog handler skip behavior.""" + + @pytest.mark.asyncio + async def test_skip_dialogs_returns_declined(self) -> None: + """Test that skip_dialogs=True auto-declines.""" + handler = DialogHandler(skip_dialogs=True) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + provider = MagicMock() + + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="What do you think?", + provider=provider, + ) + + assert result.user_declined is True + assert result.messages == [] + + +class TestDialogHandlerDismiss: + """Tests for dismiss keyword detection.""" + + def test_dismiss_keywords(self) -> None: + """Test that standard dismiss keywords are detected.""" + handler = DialogHandler() + dismiss_words = [ + "done", + "continue", + "go ahead", + "proceed", + "resume", + "exit", + "/done", + "/continue", + ] + for keyword in dismiss_words: + assert handler._is_dismiss(keyword) is True + assert handler._is_dismiss(keyword.upper()) is True + assert handler._is_dismiss(f" {keyword} ") is True + + def test_non_dismiss_text(self) -> None: + """Test that normal text is not treated as dismiss.""" + handler = DialogHandler() + assert handler._is_dismiss("I have a question") is False + assert handler._is_dismiss("tell me more") is False + assert handler._is_dismiss("") is False + + +class TestDialogHandlerEngagement: + """Tests for the engagement choice flow.""" + + @pytest.mark.asyncio + async def test_user_declines_engagement(self) -> None: + """Test that declining engagement skips the dialog loop.""" + handler = DialogHandler(console=MagicMock()) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + provider = MagicMock() + + with patch.object( + handler, + "_ask_engagement", + new_callable=AsyncMock, + return_value="decline", + ): + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="What do you think?", + provider=provider, + ) + + assert result.user_declined is True + assert len(result.messages) == 1 # Only the opening question + assert result.messages[0].role == "agent" + + @pytest.mark.asyncio + async def test_user_engages_then_dismisses(self) -> None: + """Test that user can engage and then dismiss.""" + handler = DialogHandler(console=MagicMock()) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock(return_value="Here's my answer.") + + with ( + patch.object(handler, "_ask_engagement", new_callable=AsyncMock, return_value="engage"), + patch.object( + handler, + "_get_user_input", + new_callable=AsyncMock, + side_effect=["tell me more", "done"], + ), + ): + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="What do you think?", + provider=provider, + ) + + assert result.user_dismissed is True + # Messages: opening agent, user "tell me more", agent response, user "done" + assert len(result.messages) == 4 + assert result.messages[0].role == "agent" + assert result.messages[1].role == "user" + assert result.messages[1].content == "tell me more" + assert result.messages[2].role == "agent" + assert result.messages[3].role == "user" + assert result.messages[3].content == "done" + + +class TestDialogHandlerAgentContinue: + """Tests for agent-proposed continuation.""" + + @pytest.mark.asyncio + async def test_agent_proposes_continue_user_approves(self) -> None: + """Test agent proposes [READY_TO_CONTINUE] and user approves.""" + handler = DialogHandler(console=MagicMock()) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock( + return_value="I think I have enough info. [READY_TO_CONTINUE]" + ) + + with ( + patch.object(handler, "_ask_engagement", new_callable=AsyncMock, return_value="engage"), + patch.object( + handler, + "_get_user_input", + new_callable=AsyncMock, + # First call: user message, second call: approve continuation + side_effect=["here's context", "yes"], + ), + ): + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="What do you think?", + provider=provider, + ) + + assert result.agent_proposed_continue is True + assert not result.user_dismissed + + @pytest.mark.asyncio + async def test_agent_proposes_continue_user_declines(self) -> None: + """Test agent proposes [READY_TO_CONTINUE] but user wants to keep chatting.""" + handler = DialogHandler(console=MagicMock()) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock( + side_effect=[ + "I think I have enough. [READY_TO_CONTINUE]", + "Okay, what else?", + ] + ) + + responses = { + 1: "here's more context", + 2: "no", # Decline the continue proposal + 3: "actually wait", + } + call_count = 0 + + async def mock_input( + prompt_text: str = "[bold magenta]You[/bold magenta]", + ) -> str: + nonlocal call_count + call_count += 1 + return responses.get(call_count, "done") + + with ( + patch.object(handler, "_ask_engagement", new_callable=AsyncMock, return_value="engage"), + patch.object(handler, "_get_user_input", side_effect=mock_input), + ): + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="What do you think?", + provider=provider, + ) + + assert result.agent_proposed_continue is True + assert result.user_dismissed is True + + +class TestDialogHandlerExceptionRecovery: + """Provider exceptions must not corrupt history with orphan user turns.""" + + @pytest.mark.asyncio + async def test_cli_exception_pops_user_history(self) -> None: + """If the provider raises, the next call must not see two user turns in a row.""" + handler = DialogHandler(console=MagicMock()) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + provider = MagicMock() + # Sequence: first call succeeds, second raises, third must NOT see the + # orphaned "second try" user turn left over from the failed attempt. + captured_histories: list[list[dict[str, str]]] = [] + + async def execute( + *, + system_prompt: str, + user_message: str, + history: list[dict[str, str]], + model: str | None, + ) -> str: + captured_histories.append(list(history)) + if len(captured_histories) == 2: + raise RuntimeError("boom") + return f"agent-reply-{len(captured_histories)}" + + provider.execute_dialog_turn = AsyncMock(side_effect=execute) + + with ( + patch.object(handler, "_ask_engagement", new_callable=AsyncMock, return_value="engage"), + patch.object( + handler, + "_get_user_input", + new_callable=AsyncMock, + side_effect=["hello", "second try", "third try", "done"], + ), + ): + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="?", + provider=provider, + ) + + # Three provider calls: hello (ok), second try (fail), third try (ok). + assert len(captured_histories) == 3 + # Third call must see only the FIRST successful exchange — not "second try". + assert captured_histories[2] == [ + {"role": "user", "content": "hello"}, + {"role": "assistant", "content": "agent-reply-1"}, + ] + assert result.user_dismissed is True + + +class TestReadyMarkerTerminalOnly: + """The READY marker must only fire as a terminal token (anti-injection).""" + + @pytest.mark.asyncio + async def test_ready_marker_in_middle_of_response_does_not_fire(self) -> None: + """If the agent merely quotes the marker mid-response, dialog continues.""" + handler = DialogHandler(console=MagicMock()) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + provider = MagicMock() + # Marker mid-response (e.g., quoting the user back) — must not end dialog. + provider.execute_dialog_turn = AsyncMock( + side_effect=[ + "You said [READY_TO_CONTINUE] but let's keep going.", + "Okay last word.", + ] + ) + + with ( + patch.object(handler, "_ask_engagement", new_callable=AsyncMock, return_value="engage"), + patch.object( + handler, + "_get_user_input", + new_callable=AsyncMock, + side_effect=["please discuss", "more please", "done"], + ), + ): + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="?", + provider=provider, + ) + + # The mid-marker response must NOT have been treated as a continue proposal. + assert result.agent_proposed_continue is False + # And the marker text must not appear in the stored agent message. + agent_msgs = [m.content for m in result.messages if m.role == "agent"] + # Opening question (first agent msg) doesn't contain marker; the actual + # response does (because it wasn't terminal, so we left the text intact). + assert any("[READY_TO_CONTINUE]" in c for c in agent_msgs), ( + "Mid-response marker should be preserved verbatim when not terminal" + ) + + @pytest.mark.asyncio + async def test_ready_marker_at_end_strips_from_stored_message(self) -> None: + """Terminal marker fires the proposal AND is stripped from the stored message.""" + handler = DialogHandler(console=MagicMock()) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock(return_value="All clear. [READY_TO_CONTINUE]") + + with ( + patch.object(handler, "_ask_engagement", new_callable=AsyncMock, return_value="engage"), + patch.object( + handler, + "_get_user_input", + new_callable=AsyncMock, + side_effect=["context", "yes"], + ), + ): + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="?", + provider=provider, + ) + + assert result.agent_proposed_continue is True + agent_msgs = [m.content for m in result.messages if m.role == "agent"] + assert all("[READY_TO_CONTINUE]" not in c for c in agent_msgs), ( + "Terminal marker should be stripped from stored agent messages" + ) + + +class TestDialogHandlerEvents: + """Tests for dialog event emission.""" + + @pytest.mark.asyncio + async def test_events_emitted_on_skip(self) -> None: + """Test that no events are emitted when dialog is skipped.""" + emitter = MagicMock() + handler = DialogHandler(skip_dialogs=True, emitter=emitter) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + + await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="What?", + provider=MagicMock(), + ) + + # No events should be emitted on skip + emitter.emit.assert_not_called() + + @pytest.mark.asyncio + async def test_events_emitted_on_decline(self) -> None: + """Test that dialog_started and dialog_completed are emitted on decline.""" + emitter = MagicMock() + handler = DialogHandler(console=MagicMock(), emitter=emitter) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + + with patch.object( + handler, + "_ask_engagement", + new_callable=AsyncMock, + return_value="decline", + ): + await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="What?", + provider=MagicMock(), + ) + + # Should have: dialog_started, dialog_message (opening), dialog_completed + event_types = [call.args[0].type for call in emitter.emit.call_args_list] + assert "dialog_started" in event_types + assert "dialog_message" in event_types + assert "dialog_completed" in event_types + + +class TestDialogResult: + """Tests for DialogResult dataclass.""" + + def test_default_values(self) -> None: + """Test DialogResult has sensible defaults.""" + result = DialogResult(dialog_id="test-123") + assert result.dialog_id == "test-123" + assert result.messages == [] + assert result.user_dismissed is False + assert result.user_declined is False + assert result.agent_proposed_continue is False + + +class TestWebDialogFlow: + """Tests for web-mode dialog driven by `WebDashboard.wait_for_dialog_message`. + + The web flow lives in `_web_handle_dialog` and was previously uncovered. + These tests mock the dashboard's queue read with scripted message payloads. + """ + + def _make_handler( + self, + scripted_messages: list[dict[str, Any]], + ) -> tuple[DialogHandler, MagicMock]: + """Build a handler whose dashboard returns the scripted messages in order.""" + dashboard = MagicMock() + dashboard.wait_for_dialog_message = AsyncMock(side_effect=scripted_messages) + handler = DialogHandler(console=MagicMock(), web_dashboard=dashboard) + return handler, dashboard + + @pytest.mark.asyncio + async def test_web_decline_at_engagement(self) -> None: + """If the first dashboard message is a decline, the dialog ends without provider calls.""" + handler, _ = self._make_handler([{"type": "dialog_decline", "agent_name": "test"}]) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock() + + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="?", + provider=provider, + ) + + assert result.user_declined is True + provider.execute_dialog_turn.assert_not_called() + + @pytest.mark.asyncio + async def test_web_happy_path_single_turn(self) -> None: + """Engage with a message, agent replies, user types 'done' to dismiss.""" + handler, _ = self._make_handler( + [ + {"type": "dialog_message", "agent_name": "test", "content": "tell me more"}, + {"type": "dialog_message", "agent_name": "test", "content": "done"}, + ] + ) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock(return_value="here is more info") + + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="?", + provider=provider, + ) + + assert result.user_dismissed is True + # Provider should have been called exactly once with the user's first message + provider.execute_dialog_turn.assert_called_once() + # Transcript: opening agent question, user "tell me more", agent reply, user "done" + roles = [m.role for m in result.messages] + assert roles == ["agent", "user", "agent", "user"] + + @pytest.mark.asyncio + async def test_web_exception_pops_user_history(self) -> None: + """Provider exception in web mode must not leave an orphan user turn.""" + handler, _ = self._make_handler( + [ + {"type": "dialog_message", "agent_name": "test", "content": "first try"}, + {"type": "dialog_message", "agent_name": "test", "content": "second try"}, + {"type": "dialog_message", "agent_name": "test", "content": "done"}, + ] + ) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + + captured_histories: list[list[dict[str, str]]] = [] + + async def execute( + *, + system_prompt: str, + user_message: str, + history: list[dict[str, str]], + model: str | None, + ) -> str: + captured_histories.append(list(history)) + if len(captured_histories) == 1: + raise RuntimeError("boom") + return "recovered reply" + + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock(side_effect=execute) + + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="?", + provider=provider, + ) + + # First call (failed): history was empty, message="first try" + # Second call (recovered): history must STILL be empty — no orphan "first try" + assert captured_histories == [[], []] + assert result.user_dismissed is True + + @pytest.mark.asyncio + async def test_web_ready_marker_decline_no_duplicate_history(self) -> None: + """Agent proposes continue, user declines with new content — provider must + see the approval as a single user turn, not duplicated.""" + handler, _ = self._make_handler( + [ + # engagement message + {"type": "dialog_message", "agent_name": "test", "content": "first message"}, + # user's "no, here's more thoughts" reply to the continue proposal + {"type": "dialog_message", "agent_name": "test", "content": "no, here's more"}, + # final dismiss + {"type": "dialog_message", "agent_name": "test", "content": "done"}, + ] + ) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + + captured_histories: list[list[dict[str, str]]] = [] + + async def execute( + *, + system_prompt: str, + user_message: str, + history: list[dict[str, str]], + model: str | None, + ) -> str: + captured_histories.append(list(history)) + if len(captured_histories) == 1: + return "I think I have enough. [READY_TO_CONTINUE]" + return "Ok, anything else?" + + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock(side_effect=execute) + + await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="?", + provider=provider, + ) + + # Two provider calls expected. The second call's history must contain + # exactly user→agent→, NOT user→agent→user→user. + assert len(captured_histories) == 2 + second_call_history = captured_histories[1] + # Count consecutive user-role entries + for prev, curr in zip(second_call_history, second_call_history[1:], strict=False): + assert not (prev["role"] == "user" and curr["role"] == "user"), ( + f"Two consecutive user turns in history: {second_call_history}" + ) + # Specifically: history should be [user="first message", assistant=clean READY response] + assert second_call_history == [ + {"role": "user", "content": "first message"}, + {"role": "assistant", "content": "I think I have enough. [READY_TO_CONTINUE]"}, + ] + + @pytest.mark.asyncio + async def test_web_ready_marker_approval_yes(self) -> None: + """Agent proposes continue, user says 'yes' — dialog ends cleanly.""" + handler, _ = self._make_handler( + [ + {"type": "dialog_message", "agent_name": "test", "content": "context"}, + {"type": "dialog_message", "agent_name": "test", "content": "yes"}, + ] + ) + agent = AgentDef( + name="test", + prompt="test", + dialog=DialogConfig(trigger_prompt="test"), + ) + provider = MagicMock() + provider.execute_dialog_turn = AsyncMock(return_value="All set. [READY_TO_CONTINUE]") + + result = await handler.handle_dialog( + agent=agent, + agent_output={"result": "test"}, + opening_question="?", + provider=provider, + ) + + assert result.agent_proposed_continue is True + assert not result.user_dismissed + assert not result.user_declined diff --git a/tests/test_providers/test_claude.py b/tests/test_providers/test_claude.py index 8365ac3..a7465b6 100644 --- a/tests/test_providers/test_claude.py +++ b/tests/test_providers/test_claude.py @@ -2304,6 +2304,122 @@ def __init__(self) -> None: assert provider._retry_history[0]["delay"] == 5.0 +class TestClaudeExecuteDialogTurn: + """Tests for Claude provider dialog-turn API (provider parity with Copilot).""" + + @patch("conductor.providers.claude.ANTHROPIC_SDK_AVAILABLE", True) + @patch("conductor.providers.claude.AsyncAnthropic") + @patch("conductor.providers.claude.anthropic") + @pytest.mark.asyncio + async def test_dialog_turn_empty_history_sends_only_current_message( + self, mock_anthropic_module: Mock, mock_anthropic_class: Mock + ) -> None: + """Empty history -> messages list contains only the current user message.""" + mock_anthropic_module.__version__ = "0.77.0" + mock_client = Mock() + mock_client.models.list = AsyncMock(return_value=Mock(data=[])) + mock_text_block = Mock() + mock_text_block.text = "the reply" + mock_response = Mock() + mock_response.content = [mock_text_block] + mock_client.messages.create = AsyncMock(return_value=mock_response) + mock_anthropic_class.return_value = mock_client + + provider = ClaudeProvider() + result = await provider.execute_dialog_turn( + system_prompt="be a helpful assistant", + user_message="hello", + history=[], + ) + + assert result == "the reply" + kwargs = mock_client.messages.create.call_args.kwargs + assert kwargs["system"] == "be a helpful assistant" + assert kwargs["messages"] == [{"role": "user", "content": "hello"}] + + @patch("conductor.providers.claude.ANTHROPIC_SDK_AVAILABLE", True) + @patch("conductor.providers.claude.AsyncAnthropic") + @patch("conductor.providers.claude.anthropic") + @pytest.mark.asyncio + async def test_dialog_turn_multi_turn_history_preserved_in_order( + self, mock_anthropic_module: Mock, mock_anthropic_class: Mock + ) -> None: + """Multi-turn history is appended in order, with current message last.""" + mock_anthropic_module.__version__ = "0.77.0" + mock_client = Mock() + mock_client.models.list = AsyncMock(return_value=Mock(data=[])) + mock_response = Mock() + mock_response.content = [Mock(text="ack")] + mock_client.messages.create = AsyncMock(return_value=mock_response) + mock_anthropic_class.return_value = mock_client + + provider = ClaudeProvider() + await provider.execute_dialog_turn( + system_prompt="sys", + user_message="third user msg", + history=[ + {"role": "user", "content": "first"}, + {"role": "assistant", "content": "second"}, + ], + ) + + kwargs = mock_client.messages.create.call_args.kwargs + assert kwargs["messages"] == [ + {"role": "user", "content": "first"}, + {"role": "assistant", "content": "second"}, + {"role": "user", "content": "third user msg"}, + ] + + @patch("conductor.providers.claude.ANTHROPIC_SDK_AVAILABLE", True) + @patch("conductor.providers.claude.AsyncAnthropic") + @patch("conductor.providers.claude.anthropic") + @pytest.mark.asyncio + async def test_dialog_turn_model_override_used( + self, mock_anthropic_module: Mock, mock_anthropic_class: Mock + ) -> None: + """model arg overrides the provider default.""" + mock_anthropic_module.__version__ = "0.77.0" + mock_client = Mock() + mock_client.models.list = AsyncMock(return_value=Mock(data=[])) + mock_response = Mock() + mock_response.content = [Mock(text="x")] + mock_client.messages.create = AsyncMock(return_value=mock_response) + mock_anthropic_class.return_value = mock_client + + provider = ClaudeProvider() + await provider.execute_dialog_turn( + system_prompt="sys", + user_message="hi", + history=None, + model="claude-3-opus-20240229", + ) + + kwargs = mock_client.messages.create.call_args.kwargs + assert kwargs["model"] == "claude-3-opus-20240229" + + @patch("conductor.providers.claude.ANTHROPIC_SDK_AVAILABLE", True) + @patch("conductor.providers.claude.AsyncAnthropic") + @patch("conductor.providers.claude.anthropic") + @pytest.mark.asyncio + async def test_dialog_turn_error_wrapped_as_provider_error( + self, mock_anthropic_module: Mock, mock_anthropic_class: Mock + ) -> None: + """SDK errors propagate as ProviderError, not bare exceptions.""" + mock_anthropic_module.__version__ = "0.77.0" + mock_client = Mock() + mock_client.models.list = AsyncMock(return_value=Mock(data=[])) + mock_client.messages.create = AsyncMock(side_effect=RuntimeError("api down")) + mock_anthropic_class.return_value = mock_client + + provider = ClaudeProvider() + with pytest.raises(ProviderError, match="api down"): + await provider.execute_dialog_turn( + system_prompt="sys", + user_message="hi", + history=[], + ) + + @patch("conductor.providers.claude.ANTHROPIC_SDK_AVAILABLE", True) @patch("conductor.providers.claude.AsyncAnthropic") class TestClaudeGetMaxPromptTokens: diff --git a/tests/test_providers/test_copilot.py b/tests/test_providers/test_copilot.py index cc90515..10fb6ce 100644 --- a/tests/test_providers/test_copilot.py +++ b/tests/test_providers/test_copilot.py @@ -697,6 +697,156 @@ def test_runs_on_unix(self, monkeypatch: pytest.MonkeyPatch) -> None: provider._fix_pipe_blocking_mode() +class TestCopilotExecuteDialogTurn: + """Tests for Copilot provider dialog-turn API (provider parity with Claude). + + The Copilot SDK is session-based and event-driven, so we mock create_session + and synthesize the assistant.message + session.idle events that real sessions + emit. + """ + + @staticmethod + def _build_event(event_type: str, content: str = "", message: str = "") -> Any: + """Build a fake SDK event with .type.value, .data.content, .data.message.""" + from unittest.mock import Mock as _Mock + + ev = _Mock() + ev.type = _Mock() + ev.type.value = event_type + ev.data = _Mock() + ev.data.content = content + ev.data.message = message + return ev + + async def _make_provider_with_session( + self, + captured: dict[str, Any], + response_text: str = "an answer", + ) -> CopilotProvider: + """Build a provider whose create_session returns a session that, on send, + invokes its event handler with assistant.message + session.idle. + """ + from unittest.mock import AsyncMock as _AsyncMock + + provider = CopilotProvider(mock_handler=stub_handler) + # Force the started state without invoking the real SDK + provider._started = True + + session = _AsyncMock() + captured_callback: dict[str, Any] = {} + + def on_event(callback: Any) -> None: + captured_callback["cb"] = callback + + session.on = on_event + + async def send(prompt: str) -> None: + captured["sent_prompt"] = prompt + cb = captured_callback["cb"] + cb(self._build_event("assistant.message", response_text)) + cb(self._build_event("session.idle")) + + session.send = send + session.destroy = _AsyncMock() + + async def create_session(**kwargs: Any) -> Any: + captured["create_session_kwargs"] = kwargs + return session + + client = _AsyncMock() + client.create_session = create_session + provider._client = client + return provider + + @pytest.mark.asyncio + async def test_dialog_turn_empty_history_sends_only_current_message(self) -> None: + captured: dict[str, Any] = {} + provider = await self._make_provider_with_session(captured, response_text="reply") + + result = await provider.execute_dialog_turn( + system_prompt="be helpful", + user_message="hello", + history=[], + ) + + assert result == "reply" + # System prompt is sent via create_session, not embedded in the prompt body + assert captured["create_session_kwargs"]["system_message"] == { + "mode": "replace", + "content": "be helpful", + } + # With empty history, the prompt is just the current user message line. + assert captured["sent_prompt"] == "User: hello" + + @pytest.mark.asyncio + async def test_dialog_turn_multi_turn_history_serialized_in_order(self) -> None: + captured: dict[str, Any] = {} + provider = await self._make_provider_with_session(captured) + + await provider.execute_dialog_turn( + system_prompt="sys", + user_message="third", + history=[ + {"role": "user", "content": "first"}, + {"role": "assistant", "content": "second"}, + ], + ) + + # History serialized as User:/Assistant: blocks separated by blank lines, + # with the current message appended last as a User: block. + assert captured["sent_prompt"] == ("User: first\n\nAssistant: second\n\nUser: third") + + @pytest.mark.asyncio + async def test_dialog_turn_model_override_used(self) -> None: + captured: dict[str, Any] = {} + provider = await self._make_provider_with_session(captured) + + await provider.execute_dialog_turn( + system_prompt="sys", + user_message="hi", + history=None, + model="claude-sonnet-4.5", + ) + + assert captured["create_session_kwargs"]["model"] == "claude-sonnet-4.5" + + @pytest.mark.asyncio + async def test_dialog_turn_session_error_wrapped_as_provider_error(self) -> None: + from unittest.mock import AsyncMock as _AsyncMock + + provider = CopilotProvider(mock_handler=stub_handler) + provider._started = True + + session = _AsyncMock() + captured_callback: dict[str, Any] = {} + + def on_event(callback: Any) -> None: + captured_callback["cb"] = callback + + session.on = on_event + + async def send(prompt: str) -> None: + cb = captured_callback["cb"] + cb(self._build_event("session.error", message="internal failure")) + + session.send = send + session.destroy = _AsyncMock() + + async def create_session(**kwargs: Any) -> Any: + return session + + client = _AsyncMock() + client.create_session = create_session + provider._client = client + + with pytest.raises(ProviderError, match="Dialog turn error"): + await provider.execute_dialog_turn( + system_prompt="sys", + user_message="hi", + history=[], + ) + + class TestGetMaxPromptTokens: """Tests for CopilotProvider.get_max_prompt_tokens."""