Files
3f7468b504 Add agent framework/throttling/hidden model/OS assistant and update conversational search documentation (#6354)
* Add agent framework documentation

Signed-off-by: Fanit Kolchina <[email protected]>

* Add hidden model and API updates

Signed-off-by: Fanit Kolchina <[email protected]>

* Vale error

Signed-off-by: Fanit Kolchina <[email protected]>

* Updated field names

Signed-off-by: Fanit Kolchina <[email protected]>

* Add updating credentials

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* Added tools table

Signed-off-by: Fanit Kolchina <[email protected]>

* Add OpenSearch forum thread for OS Assistant

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* Add tech review for conv search

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* Fix links

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* Add tools

Signed-off-by: Fanit Kolchina <[email protected]>

* Add links to tools

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* More info about tools

Signed-off-by: Fanit Kolchina <[email protected]>

* Tool parameters

Signed-off-by: Fanit Kolchina <[email protected]>

* Update cat-index-tool.md

Signed-off-by: kolchfa-aws <[email protected]>

* Parameter clarification

Signed-off-by: Fanit Kolchina <[email protected]>

* Tech review feedback

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* Typo fix

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* More tech review feedback: RAG tool

Signed-off-by: Fanit Kolchina <[email protected]>

* Tech review feedback: memory APis

Signed-off-by: Fanit Kolchina <[email protected]>

* Update _ml-commons-plugin/agents-tools/index.md

Co-authored-by: Melissa Vagi <[email protected]>
Signed-off-by: kolchfa-aws <[email protected]>

* Update _ml-commons-plugin/agents-tools/tools/neural-sparse-tool.md

Co-authored-by: Melissa Vagi <[email protected]>
Signed-off-by: kolchfa-aws <[email protected]>

* Update _ml-commons-plugin/agents-tools/tools/neural-sparse-tool.md

Co-authored-by: Melissa Vagi <[email protected]>
Signed-off-by: kolchfa-aws <[email protected]>

* Update _ml-commons-plugin/agents-tools/tools/neural-sparse-tool.md

Co-authored-by: Melissa Vagi <[email protected]>
Signed-off-by: kolchfa-aws <[email protected]>

* Update _ml-commons-plugin/opensearch-assistant.md

Co-authored-by: Melissa Vagi <[email protected]>
Signed-off-by: kolchfa-aws <[email protected]>

* Update _ml-commons-plugin/agents-tools/tools/ppl-tool.md

Co-authored-by: Melissa Vagi <[email protected]>
Signed-off-by: kolchfa-aws <[email protected]>

* Apply suggestions from code review

Co-authored-by: Melissa Vagi <[email protected]>
Signed-off-by: kolchfa-aws <[email protected]>

* Separated search and get APIs and add conversational flow agent

Signed-off-by: Fanit Kolchina <[email protected]>

* More parameters for PPL tool

Signed-off-by: Fanit Kolchina <[email protected]>

* Added more parameters

Signed-off-by: Fanit Kolchina <[email protected]>

* Tech review feedback: PPL tool

Signed-off-by: Fanit Kolchina <[email protected]>

* Apply suggestions from code review

Co-authored-by: Nathan Bower <[email protected]>
Signed-off-by: kolchfa-aws <[email protected]>

* Rename to automating configurations

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* Editorial comments on the new text

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* Add parameter to PPl tool

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* Changed link to configurations

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* Rate limiter feedback and added warning

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Signed-off-by: Fanit Kolchina <[email protected]>
Signed-off-by: kolchfa-aws <[email protected]>
Co-authored-by: Melissa Vagi <[email protected]>
Co-authored-by: Nathan Bower <[email protected]>
2024-02-20 12:09:31 -05:00

2.2 KiB

layout, title, parent, grand_parent, nav_order
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default Get agent Agent APIs ML Commons APIs 20

Get an agent

Introduced 2.12 {: .label .label-purple }

This is an experimental feature and is not recommended for use in a production environment. For updates on the progress of the feature or if you want to leave feedback, see the associated GitHub issue.
{: .warning}

You can retrieve agent information using the agent_id.

Path and HTTP methods

GET /_plugins/_ml/agents/<agent_id>

Path parameters

The following table lists the available path parameters.

Parameter Data type Description
agent_id String The agent ID of the agent to retrieve.

Example request

GET /_plugins/_ml/agents/N8AE1osB0jLkkocYjz7D

{% include copy-curl.html %}

Example response

{
  "name": "Test_Agent_For_RAG",
  "type": "flow",
  "description": "this is a test agent",
  "tools": [
    {
      "type": "VectorDBTool",
      "parameters": {
        "input": "${parameters.question}",
        "source_field": """["text"]""",
        "embedding_field": "embedding",
        "index": "my_test_data",
        "model_id": "zBRyYIsBls05QaITo5ex"
      },
      "include_output_in_agent_response": false
    },
    {
      "type": "MLModelTool",
      "description": "A general tool to answer any question",
      "parameters": {
        "model_id": "ygAzT40Bdo8gePIqxk0H",
        "prompt": """

Human:You are a professional data analyst. You will always answer question based on the given context first. If the answer is not directly shown in the context, you will analyze the data and find the answer. If you don't know the answer, just say don't know. 

 Context:
${parameters.VectorDBTool.output}

Human:${parameters.question}

Assistant:"""
      },
      "include_output_in_agent_response": false
    }
  ],
  "created_time": 1706821658743,
  "last_updated_time": 1706821658743
}

Response fields

For response field descriptions, see Register Agent API request fields.