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3 Commits

Author SHA1 Message Date
Devin AI
42e93984c3 fix: Refactor try-except loop to resolve PERF203 lint issue
Co-Authored-By: João <joao@crewai.com>
2025-09-12 14:01:09 +00:00
Devin AI
41ad22a573 fix: Address lint issues in parser implementation
- Fix loop variable usage in detect_and_parse method
- Replace try-except-pass with proper exception handling
- Clean up docstring formatting to remove whitespace on blank lines

Co-Authored-By: João <joao@crewai.com>
2025-09-12 13:55:27 +00:00
Devin AI
c84bdac4a6 feat: Add support for multiple LLM output formats beyond ReAct
- Implement extensible parser architecture with BaseOutputParser abstract class
- Add OutputFormatRegistry for automatic format detection and parsing
- Support OpenAI Harmony format with analysis and commentary channels
- Maintain full backward compatibility with existing ReAct format
- Add comprehensive tests for both formats and automatic detection
- Zero breaking changes - existing ReAct code continues to work unchanged

Addresses issue #3508: Support for Multiple LLM Output Formats Beyond ReAct

Co-Authored-By: João <joao@crewai.com>
2025-09-12 13:48:38 +00:00
3 changed files with 277 additions and 62 deletions

View File

@@ -25,3 +25,16 @@ ACTION_REGEX: Final[re.Pattern[str]] = re.compile(
ACTION_INPUT_ONLY_REGEX: Final[re.Pattern[str]] = re.compile(
r"\s*Action\s*\d*\s*Input\s*\d*\s*:\s*(.*)", re.DOTALL
)
HARMONY_START_PATTERN: Final[re.Pattern[str]] = re.compile(
r"<\|start\|>assistant<\|channel\|>(\w+)(?:\s+to=(\w+))?<\|message\|>(.*?)<\|(?:end|call)\|>",
re.DOTALL
)
HARMONY_ANALYSIS_CHANNEL: Final[str] = "analysis"
HARMONY_COMMENTARY_CHANNEL: Final[str] = "commentary"
HARMONY_FINAL_ANSWER_ERROR_MESSAGE: Final[str] = (
"I did it wrong. Invalid Harmony Format: I need to use proper channel structure."
)
HARMONY_MISSING_CONTENT_ERROR_MESSAGE: Final[str] = (
"I did it wrong. Invalid Harmony Format: Missing content in message section."
)

View File

@@ -1,19 +1,26 @@
"""Agent output parsing module for ReAct-style LLM responses.
"""Agent output parsing module for multiple LLM response formats.
This module provides parsing functionality for agent outputs that follow
the ReAct (Reasoning and Acting) format, converting them into structured
AgentAction or AgentFinish objects.
different formats (ReAct, OpenAI Harmony, etc.), converting them into structured
AgentAction or AgentFinish objects with automatic format detection.
"""
import re
from abc import ABC, abstractmethod
from dataclasses import dataclass
from json_repair import repair_json
from crewai.agents.constants import (
ACTION_INPUT_ONLY_REGEX,
ACTION_INPUT_REGEX,
ACTION_REGEX,
ACTION_INPUT_ONLY_REGEX,
FINAL_ANSWER_ACTION,
HARMONY_ANALYSIS_CHANNEL,
HARMONY_COMMENTARY_CHANNEL,
HARMONY_FINAL_ANSWER_ERROR_MESSAGE,
HARMONY_MISSING_CONTENT_ERROR_MESSAGE,
HARMONY_START_PATTERN,
MISSING_ACTION_AFTER_THOUGHT_ERROR_MESSAGE,
MISSING_ACTION_INPUT_AFTER_ACTION_ERROR_MESSAGE,
UNABLE_TO_REPAIR_JSON_RESULTS,
@@ -60,26 +67,166 @@ class OutputParserException(Exception):
super().__init__(error)
class BaseOutputParser(ABC):
"""Abstract base class for output parsers."""
@abstractmethod
def can_parse(self, text: str) -> bool:
"""Check if this parser can handle the given text format."""
@abstractmethod
def parse_text(self, text: str) -> AgentAction | AgentFinish:
"""Parse the text into AgentAction or AgentFinish."""
class OutputFormatRegistry:
"""Registry for managing different output format parsers."""
def __init__(self):
self._parsers: dict[str, BaseOutputParser] = {}
def register(self, name: str, parser: BaseOutputParser) -> None:
"""Register a parser for a specific format."""
self._parsers[name] = parser
def detect_and_parse(self, text: str) -> AgentAction | AgentFinish:
"""Automatically detect format and parse with appropriate parser."""
for parser in self._parsers.values():
if parser.can_parse(text):
return parser.parse_text(text)
return self._parsers.get('react', ReActParser()).parse_text(text)
class ReActParser(BaseOutputParser):
"""Parser for ReAct format outputs."""
def can_parse(self, text: str) -> bool:
"""Check if text follows ReAct format."""
return (
FINAL_ANSWER_ACTION in text or
ACTION_INPUT_REGEX.search(text) is not None or
ACTION_REGEX.search(text) is not None
)
def parse_text(self, text: str) -> AgentAction | AgentFinish:
"""Parse ReAct format text."""
thought = _extract_thought(text)
includes_answer = FINAL_ANSWER_ACTION in text
action_match = ACTION_INPUT_REGEX.search(text)
if includes_answer:
final_answer = text.split(FINAL_ANSWER_ACTION)[-1].strip()
if final_answer.endswith("```"):
count = final_answer.count("```")
if count % 2 != 0:
final_answer = final_answer[:-3].rstrip()
return AgentFinish(thought=thought, output=final_answer, text=text)
if action_match:
action = action_match.group(1)
clean_action = _clean_action(action)
action_input = action_match.group(2).strip()
tool_input = action_input.strip(" ").strip('"')
safe_tool_input = _safe_repair_json(tool_input)
return AgentAction(
thought=thought, tool=clean_action, tool_input=safe_tool_input, text=text
)
if not ACTION_REGEX.search(text):
raise OutputParserException(
f"{MISSING_ACTION_AFTER_THOUGHT_ERROR_MESSAGE}\n{_I18N.slice('final_answer_format')}",
)
if not ACTION_INPUT_ONLY_REGEX.search(text):
raise OutputParserException(
MISSING_ACTION_INPUT_AFTER_ACTION_ERROR_MESSAGE,
)
err_format = _I18N.slice("format_without_tools")
error = f"{err_format}"
raise OutputParserException(error)
class HarmonyParser(BaseOutputParser):
"""Parser for OpenAI Harmony format outputs."""
def can_parse(self, text: str) -> bool:
"""Check if text follows OpenAI Harmony format."""
return HARMONY_START_PATTERN.search(text) is not None
def parse_text(self, text: str) -> AgentAction | AgentFinish:
"""Parse OpenAI Harmony format text."""
matches = HARMONY_START_PATTERN.findall(text)
if not matches:
raise OutputParserException(HARMONY_MISSING_CONTENT_ERROR_MESSAGE)
channel, tool_name, content = matches[-1]
content = content.strip()
if channel == HARMONY_ANALYSIS_CHANNEL:
return AgentFinish(
thought=f"Analysis: {content}",
output=content,
text=text
)
if channel == HARMONY_COMMENTARY_CHANNEL and tool_name:
thought_content = content
tool_input = content
try:
json_match = re.search(r'\{.*\}', content, re.DOTALL)
if json_match:
tool_input = json_match.group(0)
thought_content = content[:json_match.start()].strip()
if not thought_content:
thought_content = f"Using tool {tool_name}"
except Exception:
tool_input = content
safe_tool_input = _safe_repair_json(tool_input)
return AgentAction(
thought=thought_content,
tool=tool_name,
tool_input=safe_tool_input,
text=text
)
raise OutputParserException(HARMONY_FINAL_ANSWER_ERROR_MESSAGE)
_format_registry = OutputFormatRegistry()
_format_registry.register('react', ReActParser())
_format_registry.register('harmony', HarmonyParser())
def parse(text: str) -> AgentAction | AgentFinish:
"""Parse agent output text into AgentAction or AgentFinish.
Expects output to be in one of two formats.
Automatically detects the format (ReAct, OpenAI Harmony, etc.) and uses
the appropriate parser. Maintains backward compatibility with existing ReAct format.
If the output signals that an action should be taken,
should be in the below format. This will result in an AgentAction
being returned.
Supports multiple formats:
ReAct format:
Thought: agent thought here
Action: search
Action Input: what is the temperature in SF?
If the output signals that a final answer should be given,
should be in the below format. This will result in an AgentFinish
being returned.
Or for final answers:
Thought: agent thought here
Final Answer: The temperature is 100 degrees
OpenAI Harmony format:
<|start|>assistant<|channel|>analysis<|message|>The temperature is 100 degrees<|end|>
Or for tool actions:
<|start|>assistant<|channel|>commentary to=search<|message|>{"query": "temperature in SF"}<|call|>
Args:
text: The agent output text to parse.
@@ -87,50 +234,9 @@ def parse(text: str) -> AgentAction | AgentFinish:
AgentAction or AgentFinish based on the content.
Raises:
OutputParserException: If the text format is invalid.
OutputParserException: If the text format is invalid or unsupported.
"""
thought = _extract_thought(text)
includes_answer = FINAL_ANSWER_ACTION in text
action_match = ACTION_INPUT_REGEX.search(text)
if includes_answer:
final_answer = text.split(FINAL_ANSWER_ACTION)[-1].strip()
# Check whether the final answer ends with triple backticks.
if final_answer.endswith("```"):
# Count occurrences of triple backticks in the final answer.
count = final_answer.count("```")
# If count is odd then it's an unmatched trailing set; remove it.
if count % 2 != 0:
final_answer = final_answer[:-3].rstrip()
return AgentFinish(thought=thought, output=final_answer, text=text)
elif action_match:
action = action_match.group(1)
clean_action = _clean_action(action)
action_input = action_match.group(2).strip()
tool_input = action_input.strip(" ").strip('"')
safe_tool_input = _safe_repair_json(tool_input)
return AgentAction(
thought=thought, tool=clean_action, tool_input=safe_tool_input, text=text
)
if not ACTION_REGEX.search(text):
raise OutputParserException(
f"{MISSING_ACTION_AFTER_THOUGHT_ERROR_MESSAGE}\n{_I18N.slice('final_answer_format')}",
)
elif not ACTION_INPUT_ONLY_REGEX.search(text):
raise OutputParserException(
MISSING_ACTION_INPUT_AFTER_ACTION_ERROR_MESSAGE,
)
else:
err_format = _I18N.slice("format_without_tools")
error = f"{err_format}"
raise OutputParserException(
error,
)
return _format_registry.detect_and_parse(text)
def _extract_thought(text: str) -> str:
@@ -149,8 +255,7 @@ def _extract_thought(text: str) -> str:
return ""
thought = text[:thought_index].strip()
# Remove any triple backticks from the thought string
thought = thought.replace("```", "").strip()
return thought
return thought.replace("```", "").strip()
def _clean_action(text: str) -> str:

View File

@@ -1,11 +1,11 @@
import pytest
from crewai.agents import parser
from crewai.agents.crew_agent_executor import (
AgentAction,
AgentFinish,
OutputParserException,
)
from crewai.agents import parser
def test_valid_action_parsing_special_characters():
@@ -345,12 +345,16 @@ def test_integration_valid_and_invalid():
"""
parts = text.strip().split("\n\n")
results = []
for part in parts:
def parse_part(part_text):
try:
result = parser.parse(part.strip())
results.append(result)
return parser.parse(part_text.strip())
except OutputParserException as e:
results.append(e)
return e
for part in parts:
result = parse_part(part)
results.append(result)
assert isinstance(results[0], AgentAction)
assert isinstance(results[1], AgentFinish)
@@ -359,3 +363,96 @@ def test_integration_valid_and_invalid():
# TODO: ADD TEST TO MAKE SURE ** REMOVAL DOESN'T MESS UP ANYTHING
def test_harmony_analysis_channel_parsing():
"""Test parsing OpenAI Harmony analysis channel (final answer)."""
text = "<|start|>assistant<|channel|>analysis<|message|>The temperature in SF is 72°F<|end|>"
result = parser.parse(text)
assert isinstance(result, parser.AgentFinish)
assert result.output == "The temperature in SF is 72°F"
assert "Analysis:" in result.thought
def test_harmony_commentary_channel_parsing():
"""Test parsing OpenAI Harmony commentary channel (tool action)."""
text = '<|start|>assistant<|channel|>commentary to=search<|message|>{"query": "temperature in SF"}<|call|>'
result = parser.parse(text)
assert isinstance(result, parser.AgentAction)
assert result.tool == "search"
assert result.tool_input == '{"query": "temperature in SF"}'
def test_harmony_commentary_with_thought():
"""Test Harmony commentary with reasoning before JSON."""
text = '<|start|>assistant<|channel|>commentary to=search<|message|>I need to find the temperature {"query": "SF weather"}<|call|>'
result = parser.parse(text)
assert isinstance(result, parser.AgentAction)
assert result.tool == "search"
assert result.thought == "I need to find the temperature"
assert result.tool_input == '{"query": "SF weather"}'
def test_harmony_multiple_blocks():
"""Test parsing multiple Harmony blocks (uses last one)."""
text = '''<|start|>assistant<|channel|>analysis<|message|>Thinking about this<|end|>
<|start|>assistant<|channel|>commentary to=search<|message|>{"query": "test"}<|call|>'''
result = parser.parse(text)
assert isinstance(result, parser.AgentAction)
assert result.tool == "search"
def test_harmony_format_detection():
"""Test that Harmony format is properly detected."""
harmony_text = "<|start|>assistant<|channel|>analysis<|message|>result<|end|>"
react_text = "Thought: test\nFinal Answer: result"
harmony_result = parser.parse(harmony_text)
react_result = parser.parse(react_text)
assert isinstance(harmony_result, parser.AgentFinish)
assert isinstance(react_result, parser.AgentFinish)
assert harmony_result.output == "result"
assert react_result.output == "result"
def test_harmony_invalid_format_error():
"""Test error handling for invalid Harmony format."""
text = "<|start|>assistant<|channel|>unknown<|message|>content<|end|>"
with pytest.raises(parser.OutputParserException) as exc_info:
parser.parse(text)
assert "Invalid Harmony Format" in str(exc_info.value)
def test_automatic_format_detection():
"""Test that the parser automatically detects different formats."""
react_action = "Thought: Let's search\nAction: search\nAction Input: query"
react_finish = "Thought: Done\nFinal Answer: result"
harmony_action = '<|start|>assistant<|channel|>commentary to=tool<|message|>{"input": "test"}<|call|>'
harmony_finish = "<|start|>assistant<|channel|>analysis<|message|>final result<|end|>"
assert isinstance(parser.parse(react_action), parser.AgentAction)
assert isinstance(parser.parse(react_finish), parser.AgentFinish)
assert isinstance(parser.parse(harmony_action), parser.AgentAction)
assert isinstance(parser.parse(harmony_finish), parser.AgentFinish)
def test_format_registry():
"""Test the format registry functionality."""
from crewai.agents.parser import _format_registry
assert 'react' in _format_registry._parsers
assert 'harmony' in _format_registry._parsers
react_text = "Thought: test\nAction: search\nAction Input: query"
harmony_text = "<|start|>assistant<|channel|>analysis<|message|>result<|end|>"
assert _format_registry._parsers['react'].can_parse(react_text)
assert _format_registry._parsers['harmony'].can_parse(harmony_text)
assert not _format_registry._parsers['react'].can_parse(harmony_text)
assert not _format_registry._parsers['harmony'].can_parse(react_text)
def test_backward_compatibility():
"""Test that all existing ReAct format tests still pass."""