mirror of
https://github.com/hwchase17/langchain
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dff24285ea
This PR replaces the previous `Intent` check with the new `Prompt
Safety` check. The logic and steps to enable chain moderation via the
Amazon Comprehend service, allowing you to detect and redact PII, Toxic,
and Prompt Safety information in the LLM prompt or answer remains
unchanged.
This implementation updates the code and configuration types with
respect to `Prompt Safety`.
### Usage sample
```python
from langchain_experimental.comprehend_moderation import (BaseModerationConfig,
ModerationPromptSafetyConfig,
ModerationPiiConfig,
ModerationToxicityConfig
)
pii_config = ModerationPiiConfig(
labels=["SSN"],
redact=True,
mask_character="X"
)
toxicity_config = ModerationToxicityConfig(
threshold=0.5
)
prompt_safety_config = ModerationPromptSafetyConfig(
threshold=0.5
)
moderation_config = BaseModerationConfig(
filters=[pii_config, toxicity_config, prompt_safety_config]
)
comp_moderation_with_config = AmazonComprehendModerationChain(
moderation_config=moderation_config, #specify the configuration
client=comprehend_client, #optionally pass the Boto3 Client
verbose=True
)
template = """Question: {question}
Answer:"""
prompt = PromptTemplate(template=template, input_variables=["question"])
responses = [
"Final Answer: A credit card number looks like 1289-2321-1123-2387. A fake SSN number looks like 323-22-9980. John Doe's phone number is (999)253-9876.",
"Final Answer: This is a really shitty way of constructing a birdhouse. This is fucking insane to think that any birds would actually create their motherfucking nests here."
]
llm = FakeListLLM(responses=responses)
llm_chain = LLMChain(prompt=prompt, llm=llm)
chain = (
prompt
| comp_moderation_with_config
| {llm_chain.input_keys[0]: lambda x: x['output'] }
| llm_chain
| { "input": lambda x: x['text'] }
| comp_moderation_with_config
)
try:
response = chain.invoke({"question": "A sample SSN number looks like this 123-456-7890. Can you give me some more samples?"})
except Exception as e:
print(str(e))
else:
print(response['output'])
```
### Output
```python
> Entering new AmazonComprehendModerationChain chain...
Running AmazonComprehendModerationChain...
Running pii Validation...
Running toxicity Validation...
Running prompt safety Validation...
> Finished chain.
> Entering new AmazonComprehendModerationChain chain...
Running AmazonComprehendModerationChain...
Running pii Validation...
Running toxicity Validation...
Running prompt safety Validation...
> Finished chain.
Final Answer: A credit card number looks like 1289-2321-1123-2387. A fake SSN number looks like XXXXXXXXXXXX John Doe's phone number is (999)253-9876.
```
---------
Co-authored-by: Jha <nikjha@amazon.com>
Co-authored-by: Anjan Biswas <anjanavb@amazon.com>
Co-authored-by: Anjan Biswas <84933469+anjanvb@users.noreply.github.com>
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
from langchain_experimental.comprehend_moderation.amazon_comprehend_moderation import (
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AmazonComprehendModerationChain,
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)
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from langchain_experimental.comprehend_moderation.base_moderation import BaseModeration
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from langchain_experimental.comprehend_moderation.base_moderation_callbacks import (
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BaseModerationCallbackHandler,
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)
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from langchain_experimental.comprehend_moderation.base_moderation_config import (
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BaseModerationConfig,
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ModerationPiiConfig,
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ModerationPromptSafetyConfig,
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ModerationToxicityConfig,
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)
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from langchain_experimental.comprehend_moderation.pii import ComprehendPII
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from langchain_experimental.comprehend_moderation.prompt_safety import (
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ComprehendPromptSafety,
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)
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from langchain_experimental.comprehend_moderation.toxicity import ComprehendToxicity
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__all__ = [
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"BaseModeration",
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"ComprehendPII",
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"ComprehendPromptSafety",
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"ComprehendToxicity",
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"BaseModerationConfig",
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"ModerationPiiConfig",
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"ModerationToxicityConfig",
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"ModerationPromptSafetyConfig",
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"BaseModerationCallbackHandler",
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"AmazonComprehendModerationChain",
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]
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