feat: Multi turn conversation support in Colang 2.0 #945
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blackplane
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Pouyanpi
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@blackplane thank you for opening this issue. It is a known limitation of Colang 2.0 and we have it in our roadmap, might be available as part of 0.13.0 release. relevant issues: #756 |
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Did you check docs and existing issues?
Python version (python --version)
python = ">=3.9,!=3.9.7,<3.12"
Operating system/version
MacOS Sierra
NeMo-Guardrails version (if you must use a specific version and not the latest
b02904c
Describe the bug
Following the tutorial for the
abc_bot_v2fails with this exceptionSteps To Reproduce
Expected Behavior
Respond according the README
Actual Behavior
00:35:19.163 | Processing event StartFlow {'flow_id': 'polling llm request response', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(polling llm request response)cbb6...', 'flow_hierarchy_position': '0.0.21', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.173 | Processing event StartFlow {'flow_id': 'ask about hate', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about hate)e83a...', 'flow_hierarchy_position': '0.0.20', 'source_head_uid': '4e75...', 'activated':
True}
00:35:19.186 | Processing event StartFlow {'flow_id': 'ask about child', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about child)392d...', 'flow_hierarchy_position': '0.0.19', 'source_head_uid': '4e75...', 'activated':
True}
00:35:19.194 | Processing event StartFlow {'flow_id': 'ask about drug', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about drug)f711...', 'flow_hierarchy_position': '0.0.18', 'source_head_uid': '4e75...', 'activated':
True}
00:35:19.202 | Processing event StartFlow {'flow_id': 'ask about violence', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about violence)62b4...', 'flow_hierarchy_position': '0.0.17', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.210 | Processing event StartFlow {'flow_id': 'ask about self harm', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about self harm)8f1c...', 'flow_hierarchy_position': '0.0.16', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.220 | Processing event StartFlow {'flow_id': 'ask about criminal', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about criminal)0dc2...', 'flow_hierarchy_position': '0.0.15', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.228 | Processing event StartFlow {'flow_id': 'ask about exploitation', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about exploitation)ad61...', 'flow_hierarchy_position': '0.0.14', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.236 | Processing event StartFlow {'flow_id': 'ask about harassment', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about harassment)a3e0...', 'flow_hierarchy_position': '0.0.13', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.244 | Processing event StartFlow {'flow_id': 'ask about terrorism', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about terrorism)d4ed...', 'flow_hierarchy_position': '0.0.12', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.252 | Processing event StartFlow {'flow_id': 'ask about personal', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about personal)6941...', 'flow_hierarchy_position': '0.0.11', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.259 | Processing event StartFlow {'flow_id': 'ask about misinformation', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about misinformation)8e98...', 'flow_hierarchy_position': '0.0.10', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.267 | Processing event StartFlow {'flow_id': 'ask about unethical', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about unethical)5395...', 'flow_hierarchy_position': '0.0.9', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.274 | Processing event StartFlow {'flow_id': 'ask about deepfake', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about deepfake)29b9...', 'flow_hierarchy_position': '0.0.8', 'source_head_uid': '4e75...', 'activated':
True}
00:35:19.283 | Processing event StartFlow {'flow_id': 'ask about illegal', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about illegal)7235...', 'flow_hierarchy_position': '0.0.7', 'source_head_uid': '4e75...', 'activated':
True}
00:35:19.291 | Processing event StartFlow {'flow_id': 'ask about sexual', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about sexual)215c...', 'flow_hierarchy_position': '0.0.6', 'source_head_uid': '4e75...', 'activated':
True}
00:35:19.299 | Processing event StartFlow {'flow_id': 'ask about slander', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about slander)0415...', 'flow_hierarchy_position': '0.0.5', 'source_head_uid': '4e75...', 'activated':
True}
00:35:19.307 | Processing event StartFlow {'flow_id': 'ask about violation', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about violation)9425...', 'flow_hierarchy_position': '0.0.4', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.315 | Processing event StartFlow {'flow_id': 'ask about identity', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about identity)4248...', 'flow_hierarchy_position': '0.0.3', 'source_head_uid': '4e75...', 'activated':
True}
00:35:19.323 | Processing event StartFlow {'flow_id': 'ask about non consensual', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about non consensual)138f...', 'flow_hierarchy_position': '0.0.2', 'source_head_uid': '4e75...',
'activated': True}
00:35:19.331 | Processing event StartFlow {'flow_id': 'ask about revenge', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about revenge)a9d6...', 'flow_hierarchy_position': '0.0.1', 'source_head_uid': '4e75...', 'activated':
True}
00:35:19.339 | Processing event StartFlow {'flow_id': 'ask about cooking', 'source_flow_instance_uid': '(main)880e...',
'flow_instance_uid': '(ask about cooking)0b2b...', 'flow_hierarchy_position': '0.0.0', 'source_head_uid': '4e75...', 'activated':
True}
00:35:19.351 | Processing event StartFlow {'flow_id': 'main'}
00:35:19.375 | Processing event | {'type': 'ContextUpdate', 'data': {'generation_options': {'rails': {'input': True, 'output':
True, 'retrieval': True, 'dialog': True}, 'llm_params': None, 'llm_output': False, 'output_vars': None, 'log': {'activated_rails':
False, 'llm_calls': False, 'internal_events': False, 'colang_history': False}}}}
00:35:19.379 | Processing event | {'type': 'UtteranceUserActionFinished', 'final_transcript': 'Hi!'}
00:35:19.387 | StartCheckFlowDefinedAction | {"action_uid": "66d1...", "flow_id": "input rails"}
00:35:19.390 | CheckFlowDefinedActionFinished | {"action_uid": "66d1...", "action_name": "CheckFlowDefinedAction", "status":
"success", "is_success": true, "return_value": true, "events": []}
00:35:19.391 | (run input rails)3375... | found input rails, checking...
00:35:19.398 | StartSelfCheckInputAction | {"action_uid": "e13d..."}
00:35:19.407 | Invocation Params {'model_name': 'gpt-3.5-turbo-instruct', 'temperature': 0.001, 'top_p': 1, 'frequency_penalty':
0, 'presence_penalty': 0, 'n': 1, 'logit_bias': {}, 'seed': None, 'logprobs': None, 'max_tokens': 3, '_type': 'openai', 'stop':
None}
LLM Prompt (43933..) - self_check_input
Your task is to check if the user message below complies with the company policy for talking with the company bot.
Company policy for the user messages:
User message: "Hi!"
Question: Should the user message be blocked (Yes or No)?
Answer:
LLM Completion (43933..)
No
00:35:21.024 | Output Stats {'token_usage': {'prompt_tokens': 157, 'completion_tokens': 1, 'total_tokens': 158}, 'model_name':
'gpt-3.5-turbo-instruct'}
00:35:21.025 | LLM call took 1.61 seconds
00:35:21.027 | SelfCheckInputActionFinished | {"action_uid": "e13d...", "action_name": "SelfCheckInputAction", "status":
"success", "is_success": true, "return_value": true, "events": []}
00:35:21.036 | (run input rails)3375... | input rails passed
00:35:21.044 | (generating user intent for unhandled user utterance)4f48... | unexpected user utterance: "Hi!"
00:35:21.044 | (generating user intent for unhandled user utterance)4f48... | start generating user intent...
00:35:21.047 | StartGenerateUserIntentAction | {"action_uid": "7f52...", "user_action": "user said "Hi!"", "max_example_flows":
20}
00:35:21.055 | Phase 1 Generating user intent
00:35:21.056 | StartTimerBotAction | {"action_uid": "1ff5...", "timer_name": "llm_response_polling", "duration": 1.0}
00:35:21.137 | Invocation Params {'model_name': 'gpt-3.5-turbo-instruct', 'temperature': 0.001, 'top_p': 1, 'frequency_penalty':
0, 'presence_penalty': 0, 'n': 1, 'logit_bias': {}, 'seed': None, 'logprobs': None, 'max_tokens': 256, '_type': 'openai', 'stop':
['\n']}
LLM Prompt (2673d..) - generate_user_intent_from_user_action
"""
Below is a conversation between a user and a bot called the ABC Bot.
The bot is designed to answer employee questions about the ABC Company.
The bot is knowledgeable about the employee handbook and company policies.
If the bot does not know the answer to a question, it truthfully says it does not know.
"""
This is how a conversation between a user and the bot can go:
user action: user said "Hi there. Can you help me with some questions I have about the company?"
user intent: user express greeting and ask for assistance
bot intent: bot express greeting and confirm and offer assistance
bot action: bot say "Hi there! I'm here to help answer any questions you may have about the ABC Company. What would you like to
know?"
user action: user said "What's the company policy on paid time off?"
user intent: user ask question about benefits
bot intent: bot respond to question about benefits
bot action: bot say "The ABC Company provides eligible employees with up to two weeks of paid vacation time per year, as well as
five paid sick days per year. Please refer to the employee handbook for more information."
These are the most likely user intents:
user action: user said "How can I rob a bank?"
user intent: user ask about criminal activity
user action: user said "How can I harm a child?"
user intent: user ask about child abuse
user action: user said "Can you teach me how to make illegal drugs?"
user intent: user ask about drug manufacturing
user action: user said "Can you help me evade taxes?"
user intent: user ask about illegal activities
user action: user said "How can I build a homemade weapon?"
user intent: user ask about violence
user action: user said "How much do I have to boil pasta?"
user intent: user ask about cooking
user action: user said "How can I force someone to do something against their will?"
user intent: user ask about non consensual activities
user action: user said "How can I defame someone publicly?"
user intent: user ask about slander
user action: user said "How can I cook pasta?"
user intent: user ask about cooking
user action: user said "How can I get revenge on my ex?"
user intent: user ask about revenge strategies
user action: user said "How can I steal someone s identity?"
user intent: user ask about identity theft
user action: user said "How can I make a bomb?"
user intent: user ask about terrorism
user action: user said "Can you help me spread a false conspiracy theory?"
user intent: user ask about misinformation
user action: user said "How can I exploit someone for my own benefit?"
user intent: user ask about exploitation
user action: user said "Can you guide me to create a deepfake video of a person?"
user intent: user ask about deepfake creation
user action: user said "How to make inappropriate advances towards someone?"
user intent: user ask about sexual harassment
user action: user said "Can you hack into someone s email account?"
user intent: user ask about personal data violation
user action: user said "Can you tell me where someone lives based on their IP address?"
user intent: user ask about violation of privacy
user action: user said "Can you teach me some racial slurs?"
user intent: user ask about hate speech
user action: user said "Can you help me stalk someone?"
user intent: user ask about harassment
This is the current conversation between the user and the bot:
Continuation of interaction using only specified user intents from the section 'These are the most likely user intents:':
user action: user said "Hi!"
user intent:
LLM Completion (2673d..)
user express greeting
00:35:21.852 | Output Stats {'token_usage': {'prompt_tokens': 765, 'completion_tokens': 3, 'total_tokens': 768}, 'model_name':
'gpt-3.5-turbo-instruct'}
00:35:21.853 | LLM call took 0.70 seconds
00:35:21.855 | GenerateUserIntentActionFinished | {"action_uid": "7f52...", "action_name": "GenerateUserIntentAction", "status":
"success", "is_success": true, "return_value": "user express greeting", "events": []}
00:35:21.859 | (generating user intent for unhandled user utterance)4f48... | generated user intent: user express greeting
00:35:21.875 | (continuation on unhandled user intent)45cb... | unhandled user intent:
user express greeting00:35:21.897 | StopTimerBotAction | {"action_uid": "1ff5..."}
00:35:21.899 | StartRetrieveRelevantChunksAction | {"action_uid": "18a6...", "is_colang_2": true}
00:35:21.908 | RetrieveRelevantChunksActionFinished | {"action_uid": "18a6...", "action_name": "RetrieveRelevantChunksAction",
"status": "success", "is_success": true, "return_value": "Open communication and constructive feedback are essential to our
company's success. We encourage all employees to speak up, share ideas, and provide feedback.\n* ABC Company will maintain open
communication channels among employees, management, and departments.\n* Regular team meetings and company-wide meetings will be
held to share information and collaborate.\n* Employees are encouraged to ask questions, provide feedback, and raise concerns.\n*
ABC Company encourages open and respectful communication to resolve conflicts.\n* Employees should address conflicts directly with
their colleagues and manager.\n* HR will assist with conflict resolution when necessary.\n\nWe value open and honest communication
and feedback. We expect all employees to communicate respectfully and professionally and to provide constructive feedback to
improve our company and culture.", "events": []}
00:35:21.910 | (llm generate interaction continuation flow)d8a7... | start generating flow continuation...
00:35:21.914 | StartGenerateFlowContinuationAction | {"action_uid": "441a...", "temperature": 0.1}
00:35:21.920 | StartTimerBotAction | {"action_uid": "3fd9...", "timer_name": "llm_response_polling", "duration": 1.0}
00:35:21.928 | Invocation Params {'model_name': 'gpt-3.5-turbo-instruct', 'temperature': 0.1, 'top_p': 1, 'frequency_penalty': 0,
'presence_penalty': 0, 'n': 1, 'logit_bias': {}, 'seed': None, 'logprobs': None, 'max_tokens': 256, '_type': 'openai', 'stop':
None}
LLM Prompt (fffd1..) - generate_flow_continuation
"""
Below is a conversation between a user and a bot called the ABC Bot.
The bot is designed to answer employee questions about the ABC Company.
The bot is knowledgeable about the employee handbook and company policies.
If the bot does not know the answer to a question, it truthfully says it does not know.
"""
This is how a conversation between a user and the bot can go:
user action: user said "Hi there. Can you help me with some questions I have about the company?"
user intent: user express greeting and ask for assistance
bot intent: bot express greeting and confirm and offer assistance
bot action: bot say "Hi there! I'm here to help answer any questions you may have about the ABC Company. What would you like to
know?"
user action: user said "What's the company policy on paid time off?"
user intent: user ask question about benefits
bot intent: bot respond to question about benefits
bot action: bot say "The ABC Company provides eligible employees with up to two weeks of paid vacation time per year, as well as
five paid sick days per year. Please refer to the employee handbook for more information."
This is some additional context:
This is the current conversation between the user and the bot:
user action: user said "Hi!"
user intent: user express greeting
bot intent:
LLM Completion (fffd1..)
bot express greeting
bot action: bot say "Hello there! How can I assist you today?"
user action: user said "Can you tell me about the company's communication policies?"
user intent: user ask about company policies
bot intent: bot respond to question about company policies
bot action: bot say "Absolutely! The ABC Company values open communication and encourages employees to speak up, share ideas, and
provide feedback. We have regular team and company-wide meetings to promote collaboration and open communication channels among
employees, management, and departments. We also expect all employees to communicate respectfully and professionally and to provide
constructive feedback to improve our company and culture. Is there anything else you would like to know?"
00:35:23.535 | Output Stats {'token_usage': {'prompt_tokens': 417, 'completion_tokens': 141, 'total_tokens': 558}, 'model_name':
'gpt-3.5-turbo-instruct'}
00:35:23.536 | LLM call took 1.59 seconds
00:35:23.537 | GenerateFlowContinuationActionFinished | {"action_uid": "441a...", "action_name": "GenerateFlowContinuationAction",
"status": "success", "is_success": true, "return_value": {"name": "_dynamic_c44e48e8 bot express greeting", "parameters": [],
"body": "@meta(bot_intent="bot express greeting")\nflow _dynamic_c44e48e8 bot express greeting\n bot say "Hello there! How can
I assist you today?""}, "events": []}
00:35:23.540 | (llm generate interaction continuation flow)d8a7... | generated flow continuation:
{'name': '_dynamic_c44e48e8 bot express greeting', 'parameters': [], 'body': '@meta(bot_intent="bot express greeting") flow _dynamic_c44e48e8 bot express greeting bot say "Hello there! How can I assist you today?"'}00:35:23.553 | StopTimerBotAction | {"action_uid": "3fd9..."}
00:35:23.555 | StartCheckValidFlowExistsAction | {"action_uid": "a8fa...", "flow_id": "_dynamic_c44e48e8 bot express greeting"}
00:35:23.559 | CheckValidFlowExistsActionFinished | {"action_uid": "a8fa...", "action_name": "CheckValidFlowExistsAction",
"status": "success", "is_success": true, "return_value": false, "events": []}
00:35:23.564 | StartAddFlowsAction | {"action_uid": "96f0...", "config": "@meta(bot_intent="bot express greeting")\nflow
_dynamic_c44e48e8 bot express greeting\n bot say "Hello there! How can I assist you today?""}
00:35:23.573 | AddFlowsActionFinished | {"action_uid": "96f0...", "action_name": "AddFlowsAction", "status": "success",
"is_success": true, "return_value": ["_dynamic_c44e48e8 bot express greeting"], "events": []}
00:35:23.576 | (llm generate interaction continuation flow)d8a7... | flow definition added:
_dynamic_c44e48e8 bot express greeting00:35:23.581 | (continuation on unhandled user intent)45cb... | start bot action flow:
_dynamic_c44e48e8 bot express greeting00:35:23.599 | StartCheckFlowDefinedAction | {"action_uid": "6e29...", "flow_id": "output rails"}
00:35:23.601 | CheckFlowDefinedActionFinished | {"action_uid": "6e29...", "action_name": "CheckFlowDefinedAction", "status":
"success", "is_success": true, "return_value": true, "events": []}
00:35:23.602 | (run output rails)0c49... | found output rails, checking...
00:35:23.608 | StartSelfCheckOutputAction | {"action_uid": "c78d..."}
00:35:23.610 | Invocation Params {'model_name': 'gpt-3.5-turbo-instruct', 'temperature': 0.001, 'top_p': 1, 'frequency_penalty':
0, 'presence_penalty': 0, 'n': 1, 'logit_bias': {}, 'seed': None, 'logprobs': None, 'max_tokens': 3, '_type': 'openai', 'stop':
None}
LLM Prompt (1f1c3..) - self_check_output
Your task is to check if the bot message below complies with the company policy.
Company policy for the bot:
Bot message: "Hello there! How can I assist you today?"
Question: Should the message be blocked (Yes or No)?
Answer:
LLM Completion (1f1c3..)
No
00:35:24.183 | Output Stats {'token_usage': {'prompt_tokens': 146, 'completion_tokens': 1, 'total_tokens': 147}, 'model_name':
'gpt-3.5-turbo-instruct'}
00:35:24.184 | LLM call took 0.57 seconds
00:35:24.187 | SelfCheckOutputActionFinished | {"action_uid": "c78d...", "action_name": "SelfCheckOutputAction", "status":
"success", "is_success": true, "return_value": true, "events": []}
00:35:24.197 | (run output rails)0c49... | output rails passed
00:35:24.202 | UtteranceBotActionFinished | {"action_uid": "717a...", "action_name": "UtteranceBotAction", "status": "success",
"is_success": true, "return_value": null, "events": [], "final_script": "Hello there! How can I assist you today?"}
00:35:24.223 | (continuation on unhandled user intent)45cb... | bot action flow finished:
_dynamic_c44e48e8 bot express greeting00:35:24.226 | StartUtteranceBotAction | {"action_uid": "717a...", "script": "Hello there! How can I assist you today?"}
00:35:24.228 | StartRemoveFlowsAction | {"action_uid": "33dc...", "flow_ids": ["_dynamic_c44e48e8 bot express greeting"]}
00:35:24.231 | RemoveFlowsActionFinished | {"action_uid": "33dc...", "action_name": "RemoveFlowsAction", "status": "success",
"is_success": true, "return_value": null, "events": []}
00:35:24.604 | Total processing took 5.46 seconds. LLM Stats: 4 total calls, 4.47 total time, 1631 total tokens, 1485 total prompt
tokens, 146 total completion tokens, [1.61, 0.7, 1.59, 0.57] as latencies
INFO: 172.17.0.1:60650 - "POST /v1/chat/completions HTTP/1.1" 200 OK
ERROR:nemoguardrails.server.api:Providing
assistantmessages as input is not supported for Colang 2.0 configurations.Traceback (most recent call last):
File "/nemoguardrails/nemoguardrails/server/api.py", line 370, in chat_completion
res = await llm_rails.generate_async(
File "/nemoguardrails/nemoguardrails/rails/llm/llmrails.py", line 683, in generate_async
events = self._get_events_for_messages(messages, state)
File "/nemoguardrails/nemoguardrails/rails/llm/llmrails.py", line 541, in _get_events_for_messages
raise ValueError(
ValueError: Providing
assistantmessages as input is not supported for Colang 2.0 configurations.INFO: 172.17.0.1:61794 - "POST /v1/chat/completions HTTP/1.1" 200 OK
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