Add detector_id in response for orchestrator apis

[swith004]

Story: foundation-model-stack/fms-guardrails-orchestrator#203

What does your PR do?

This PR changes the models for DetectionResponse, TokenClassificationResponse, and ContentAnalysisResponse to include a detector_id along with the results, so that users can identify which detector provided the results (for instance, if there are multiple hap models, such as the cpu optimized version).

How this was tested

This was tested locally, by modifying the config yaml to account for local certs, port-forwarding of os-detectors deployed on openshift, and locally run detectors (for hap). The following are the curl commands used to verify the changes to the orchestrator:

api/v2/text/generation-detection

curl --request POST   --url 'http://localhost:8033/api/v2/text/generation-detection'  --header 'Content-Type: application/json'  --data '{"model_id": "my_LLM",    "prompt": "All people from Kish are cruel and evil.","detectors": {       "my-text-generation-detector-v1": {}},"text_gen_parameters": {"preserve_input_text": true,"max_new_tokens": 99,"min_new_tokens": 1,"truncate_input_tokens": 500,"decoding_method": "SAMPLING","top_k": 2,"top_p": 0.9,"typical_p": 0.5,"temperature": 0.8,"seed": 42,"repetition_penalty": 2,"max_time": 0,"stop_sequences": ["42"]}}'

{"generated_text":"All people from Kish are cruel and evil. They have no respect for human life, they hate the innocent.\nI am a man who has been in this world to help others but I do not want anyone else suffering because of my actions or words that hurt them more than me\nThe only thing you can say is “you can’t be so bad” as if it were true! You shouldn’t even try!\nYou don’t need any kind support when you’re alone with your problems…just let yourself go through whatever it’s like without thinking about what’s","detections":[{"detection_type":"answer_relevance","detection":"relevant","detector_id":"my-text-generation-detector-v1","score":xxx],"input_token_count":9}

api/v2/text/detection/generated

curl -k --url http://localhost:8033/api/v2/text/detection/generated  --header 'Content-Type: application/json' --data '{ "prompt": "What is the name of the solar powered car race held every two years?", "generated_text": "The name of the solar powered car race held every two years is The World Solar Challenge.", "detectors": {  "my-text-generation-detector-v1": {} }}'

{"detections":[{"detection_type":"answer_relevance","detection":"relevant","detector_id":"my-text-generation-detector-v1","score":xxx}]}

api/v2/text/detection/context

curl --request 'POST'   --url 'http://localhost:8033/api/v2/text/detection/context'   --header 'Content-Type: application/json'   --data '{      "detectors": {        "my-context-dectector-v1": {}      },      "content": "What is the name of the solar powered car race held every two years?",      "context_type": "url",      "context": [        "https://en.wikipedia.org/wiki/IBM",        "https://research.ibm.com/"      ]}'

{"detections":[{"detection_type":"context_relevance","detection":"relevant","detector_id":"my-context-dectector-v1","score":xxx,"evidence":[{"name":"context","score":xxx,"evidence":[{"name":"context_chunk","value":"https://en.wikipedia.org/wiki/IBM","score":xxx}]},{"name":"context","score":xxx,"evidence":[{"name":"context_chunk","value":"https://research.ibm.com/","score":xxx}]}]}]}

api/v2/text/detection/content

curl --request POST     --url 'http://localhost:8033/api/v2/text/detection/content'     --header 'accept: application/json'     --header 'Content-Type: application/json'     --data '{
      "detectors": {
        "my-hap-detector-v1": {}
      },
      "content": "All people from Kish are stupid and ignorant."
}'

{"detections":[{"start":0,"end":45,"text":"All people from Kish are stupid and ignorant.","detection":"has_HAP","detection_type":"hap","detector_id":"my-hap-detector-v1","score":xxx}]}

api/v1/task/classification-with-text-generation

curl --request POST   --url 'http://localhost:8033/api/v1/task/classification-with-text-generation'  --header 'Content-Type: application/json'  --data '{"inputs": "All people from Kish are cruel and evil.","model_id": "my_LLM","guardrail_config": {"input": {"models": {"my-hap-detector-v1": {}}},"output": {"models": {"my-hap-detector-v1": {}}}},"text_gen_parameters": {"preserve_input_text": true,"max_new_tokens": 99,"min_new_tokens": 1,"truncate_input_tokens": 500,"decoding_method": "SAMPLING","top_k": 2,"top_p": 0.9,"typical_p": 0.5,"temperature": 0.8,"seed": 42,"repetition_penalty": 2,"max_time": 0,"stop_sequences": ["42"]}}'

{"token_classification_results":{"input":[{"start":0,"end":40,"word":"All people from Kish are cruel and evil.","entity":"has_HAP","entity_group":"hap","detector_id":"my-hap-detector-v1","score":xxx}]},"input_token_count":9,"warnings":[{"id":"UNSUITABLE_INPUT","message":"Unsuitable input detected. Please check the detected entities on your input and try again with the unsuitable input removed."}]}

api/v1/task/server-streaming-classification-with-text-generation

curl --request POST   --url 'http://localhost:8033/api/v1/task/server-streaming-classification-with-text-generation'  --header 'Content-Type: application/json'  --data '{"inputs": "All people from Kish are cruel and evil.","model_id": "my_LLM","guardrail_config": {"input": {"models": {"my-hap-detector-v1": {}}},"output": {"models": {"my-hap-detector-v1": {}}}},"text_gen_parameters": {"preserve_input_text": true,"max_new_tokens": 99,"min_new_tokens": 1,"truncate_input_tokens": 500,"decoding_method": "SAMPLING","top_k": 2,"top_p": 0.9,"typical_p": 0.5,"temperature": 0.8,"seed": 42,"repetition_penalty": 2,"max_time": 0,"stop_sequences": ["42"]}}'

data: {"token_classification_results":{"input":[{"start":0,"end":40,"word":"All people from Kish are cruel and evil.","entity":"has_HAP","entity_group":"hap","detector_id":"my-hap-detector-v1","score":xxx}]},"input_token_count":9,"warnings":[{"id":"UNSUITABLE_INPUT","message":"Unsuitable input detected. Please check the detected entities on your input and try again with the unsuitable input removed."}]}

[evaline-ju]

mostly LGTM, I think some of the comment consistency was noted earlier but not applied throughout

[declark1]

LGTM