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ADR Agents - Assistant V2 Support (#7215)
### Motivation and Context <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> Open AI has release the _Assistants V2_ API. This builds on top of the V1 _assistant_ concept, but also invalidates certain V1 features. In addition, the _dotnet_ API that supports _Assistant V2_ features is entirely divergent on the `Azure.AI.OpenAI.Assistants` SDK that is currently in use. ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ADR describes changes to `Microsoft.SemanticKernel.Agents.OpenAI` project / package. Changes prototyped in this PR: https://github.com/microsoft/semantic-kernel/pull/7126 PR completion is gated by the V2 connector migration work due to versioning constraints. > ADR Reviewed on July 18th, 2024 ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [X] The code builds clean without any errors or warnings - [X] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [X] All unit tests pass, and I have added new tests where possible - [X] I didn't break anyone 😄 --------- Co-authored-by: Evan Mattson <[email protected]>
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# Agent Framework - Assistant V2 Migration
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## Context and Problem Statement
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Open AI has release the _Assistants V2_ API. This builds on top of the V1 _assistant_ concept, but also invalidates certain V1 features. In addition, the _dotnet_ API that supports _Assistant V2_ features is entirely divergent on the `Azure.AI.OpenAI.Assistants` SDK that is currently in use.
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### Open Issues
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- **Streaming:** To be addressed as a discrete feature
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## Design
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Migrating to Assistant V2 API is a breaking change to the existing package due to:
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- Underlying capability differences (e.g. `file-search` vs `retrieval`)
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- Underlying V2 SDK is version incompatible with V1 (`OpenAI` and `Azure.AI.OpenAI`)
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### Agent Implementation
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The `OpenAIAssistant` agent is roughly equivalent to its V1 form save for:
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- Supports options for _assistant_, _thread_, and _run_
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- Agent definition shifts to `Definition` property
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- Convenience methods for producing an OpenAI client
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Previously, the agent definition as exposed via direct properties such as:
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- `FileIds`
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- `Metadata`
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This has all been shifted and expanded upon via the `Definition` property which is of the same type (`OpenAIAssistantDefinition`) utilized to create and query an assistant.
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<p align="center">
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<kbd><img src="diagrams/assistant-agent.png" style="width: 720pt;"></kbd>
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</p>
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The following table describes the purpose of diagramed methods on the `OpenAIAssistantAgent`.
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|Method Name|Description|
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---|---
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**Create**|Create a new assistant agent
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**ListDefinitions**|List existing assistant definitions
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**Retrieve**|Retrieve an existing assistant
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**CreateThread**|Create an assistant thread
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**DeleteThread**|Delete an assistant thread
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**AddChatMessage**|Add a message to an assistant thread
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**GetThreadMessages**|Retrieve all messages from an assistant thread
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**Delete**|Delete the assistant agent's definition (puts agent into a terminal state)
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**Invoke**|Invoke the assistant agent (no chat)
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**GetChannelKeys**|Inherited from `Agent`
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**CreateChannel**|Inherited from `Agent`
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### Class Inventory
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This section provides an overview / inventory of all the public surface area described in this ADR.
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|Class Name|Description|
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---|---
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**OpenAIAssistantAgent**|An `Agent` based on the Open AI Assistant API
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**OpenAIAssistantChannel**|An 'AgentChannel' for `OpenAIAssistantAgent` (associated with a _thread-id_.)
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**OpenAIAssistantDefinition**|All of the metadata / definition for an Open AI Assistant. Unable to use the _Open AI API_ model due to implementation constraints (constructor not public).
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**OpenAIAssistantExecutionOptions**|Options that affect the _run_, but defined globally for the agent/assistant.
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**OpenAIAssistantInvocationOptions**|Options bound to a discrete run, used for direct (no chat) invocation.
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**OpenAIThreadCreationOptions**|Options for creating a thread that take precedence over assistant definition, when specified.
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**OpenAIServiceConfiguration**|Describes the service connection and used to create the `OpenAIClient`
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### Run Processing
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The heart of supporting an _assistant_ agent is creating and processing a `Run`.
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A `Run` is effectively a discrete _assistant_ interaction on a `Thread` (or conversation).
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- https://platform.openai.com/docs/api-reference/runs
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- https://platform.openai.com/docs/api-reference/run-steps
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This `Run` processing is implemented as internal logic within the _OpenAI Agent Framework_ that is outlined here:
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Initiate processing using:
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- `agent` -> `OpenAIAssistantAgent`
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- `client` -> `AssistantClient`
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- `threadid` -> `string`
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- `options` -> `OpenAIAssistantInvocationOptions` (optional)
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Perform processing:
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- Verify `agent` not deleted
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- Define `RunCreationOptions`
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- Create the `run` (based on `threadid` and `agent.Id`)
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- Process the run:
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do
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- Poll `run` status until is not _queued_, _in-progress_, or _cancelling_
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- Throw if `run` status is _expired_, _failed_, or _cancelled_
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- Query `steps` for `run`
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- if `run` status is _requires-action_
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- process function `steps`
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- post function results
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- foreach (`step` is completed)
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- if (`step` is tool-call) generate and yield tool content
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- else if (`step` is message) generate and yield message content
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while (`run` status is not completed)
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### Vector Store Support
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_Vector Store_ support is required in order to enable usage of the `file-search` tool.
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In alignment with V2 streaming of the `FileClient`, the caller may also directly target `VectorStoreClient` from the _OpenAI SDK_.
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### Definition / Options Classes
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Specific configuration/options classes are introduced to support the ability to define assistant behavior at each of the supported articulation points (i.e. _assistant_, _thread_, & _run_).
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|Class|Purpose|
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|---|---|
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|`OpenAIAssistantDefinition`|Definition of the assistant. Used when creating a new assistant, inspecting an assistant-agent instance, or querying assistant definitions.|
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|`OpenAIAssistantExecutionOptions`|Options that affect run execution, defined within assistant scope.|
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|`OpenAIAssistantInvocationOptions`|Run level options that take precedence over assistant definition, when specified.|
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|`OpenAIAssistantToolCallBehavior`|Informs tool-call behavior for the associated scope: assistant or run.|
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|`OpenAIThreadCreationOptions`|Thread scoped options that take precedence over assistant definition, when specified.|
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|`OpenAIServiceConfiguration`|Informs the which service to target, and how.|
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#### Assistant Definition
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The `OpenAIAssistantDefinition` was previously used only when enumerating a list of stored agents. It has been evolved to also be used as input for creating and agent and exposed as a discrete property on the `OpenAIAssistantAgent` instance.
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This includes optional `ExecutionOptions` which define default _run_ behavior. Since these execution options are not part of the remote assistant definition, they are persisted in the assistant metadata for when an existing agent is retrieved. `OpenAIAssistantToolCallBehavior` is included as part of the _execution options_ and modeled in alignment with the `ToolCallBehavior` associated with _AI Connectors_.
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> Note: Manual function calling isn't currently supported for `OpenAIAssistantAgent` or `AgentChat` and is planned to be addressed as an enhancement. When this supported is introduced, `OpenAIAssistantToolCallBehavior` will determine the function calling behavior (also in alignment with the `ToolCallBehavior` associated with _AI Connectors_).
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**Alternative (Future?)**
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A pending change has been authored that introduces `FunctionChoiceBehavior` as a property of the base / abstract `PromptExecutionSettings`. Once realized, it may make sense to evaluate integrating this pattern for `OpenAIAssistantAgent`. This may also imply in inheritance relationship of `PromptExecutionSettings` for both `OpenAIAssistantExecutionOptions` and `OpenAIAssistantInvocationOptions` (next section).
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**DECISION**: Do not support `tool_choice` until the `FunctionChoiceBehavior` is realized.
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<p align="center">
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<kbd><img src="diagrams/assistant-definition.png" style="width: 500pt;"></kbd>
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</p>
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#### Assistant Invocation Options
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When invoking an `OpenAIAssistantAgent` directly (no-chat), definition that only apply to a discrete run may be specified. These definition are defined as `OpenAIAssistantInvocationOptions` and ovetake precedence over any corresponding assistant or thread definition.
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> Note: These definition are also impacted by the `ToolCallBehavior` / `FunctionChoiceBehavior` quadary.
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<p align="center">
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<kbd><img src="diagrams/assistant-invocationsettings.png" style="width: 370pt;"></kbd>
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</p>
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#### Thread Creation Options
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When invoking an `OpenAIAssistantAgent` directly (no-chat), a thread must be explicitly managed. When doing so, thread specific options may be specified. These options are defined as `OpenAIThreadCreationOptions` and take precedence over any corresponding assistant definition.
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<p align="center">
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<kbd><img src="diagrams/assistant-threadcreationsettings.png" style="width: 132pt;"></kbd>
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</p>
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#### Service Configuration
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The `OpenAIServiceConfiguration` defines how to connect to a specific remote service, whether it be OpenAI, Azure, or proxy. This eliminates the need to define multiple overloads for each call site that results in a connection to the remote API service (i.e. create a _client)_.
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> Note: This was previously named `OpenAIAssistantConfiguration`, but is not necessarily assistant specific.
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<p align="center">
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<kbd><img src="diagrams/assistant-serviceconfig.png" style="width: 520pt;"></kbd>
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</p>
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classDiagram
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KernelAgent
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OpenAIAssistantDefinition
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OpenAIAssistantDefinition --> OpenAIExecutionOptions
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OpenAIExecutionOptions
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OpenAIExecutionOptions --> AssistantToolCallBehavior
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OpenAIServiceConfiguration
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OpenAIAssistantInvocationOptions
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OpenAIAssistantInvocationOptions --> AssistantToolCallBehavior
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OpenAIThreadCreationOptions
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KernelAgent <|-- OpenAIAssistantAgent
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OpenAIAssistantAgent ..> OpenAIServiceConfiguration
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OpenAIAssistantAgent -- OpenAIAssistantChannel
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OpenAIAssistantAgent --> OpenAIAssistantDefinition
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OpenAIAssistantAgent ..> OpenAIAssistantInvocationOptions
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OpenAIAssistantAgent ..> OpenAIThreadCreationOptions
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class OpenAIAssistantAgent {
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+OpenAIAssistantDefinition Definition
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+bool IsDeleted
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+RunPollingConfiguration Polling
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+Task~OpenAIAssistantAgent~ Create(Kernel kernel, OpenAIServiceConfiguration config, OpenAIAssistantDefinition definition)$
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+AsyncEnumerable~OpenAIAssistantDefinition~ ListDefinitions(OpenAIServiceConfiguration config)$
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+Task~OpenAIAssistantAgent~ Retrieve(Kernel kernel, OpenAIServiceConfiguration config, string id)$
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+Task~string~ CreateThread()
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+Task~string~ CreateThread(OpenAIThreadCreationOptions? Options)
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+Task~bool~ DeleteThread(string threadId)
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+Task AddChatMessage(string threadId, ChatMessageContent message)
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+AsyncEnumerable~ChatMessageContent~ GetThreadMessages(string threadId)
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+Task~bool~ Delete()
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+AsyncEnumerable~ChatMessageContent~ Invoke(string threadId)
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+AsyncEnumerable~ChatMessageContent~ Invoke(string threadId, OpenAIAssistantInvocationOptions? Options)
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#AsyncEnumerable~string~ GetChannelKeys()
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#Task~AgentChannel~ CreateChannel()
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}
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OpenAIAssistantChannel ..> OpenAIAssistantAgent
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class OpenAIAssistantChannel {
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#Task Receive(IReadOnlyList<ChatMessageContent> history)
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#AsyncEnumerable<ChatMessageContent> Invoke(OpenAIAssistantAgent agent)
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#AsyncEnumerable<ChatMessageContent> GetHistory()
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}
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classDiagram
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OpenAIAssistantDefinition --> OpenAIAssistantExecutionOptions
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class OpenAIAssistantDefinition {
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string ModelName
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string? Description
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string Id
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string? Instructions
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string? Name
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List~string~? CodeInterpterFileIds
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bool EnableCodeInterpreter
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bool EnableJsonResponse
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Dictionary~string, string~? Metadata
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float? Temperature
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float? TopP
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string? VectorStoreId
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OpenAIAssistantExecutionOptions? ExecutionOptions
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}
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OpenAIAssistantExecutionOptions --> OpenAIAssistantToolCallBehavior
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class OpenAIAssistantExecutionOptions {
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int? MaxCompletionTokens
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int? MaxPromptTokens
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bool? ParallelToolCallsEnabled
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int? TruncationMessageCount
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OpenAIAssistantToolCallBehavior? ToolCallBehavior
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}
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class OpenAIAssistantToolCallBehavior {
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AssistantToolCallBehavior RequireCodeInterpreter()$
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AssistantToolCallBehavior RequireFunction(KernelFunction function)$
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AssistantToolCallBehavior RequireFileSearch()$
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}
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classDiagram
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OpenAIAssistantInvocationOptions --> OpenAIAssistantToolCallBehavior
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class OpenAIAssistantInvocationOptions {
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string? ModelName
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bool? EnableCodeInterpreter
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bool? EnableFileSearch
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bool? EnableJsonResponse
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int? MaxCompletionTokens
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int? MaxPromptTokens
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bool? ParallelToolCallsEnabled
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int? TruncationMessageCount
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float? Temperature
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float? TopP
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Dictionary~string, string~? Metadata
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OpenAIAssistantToolCallBehavior? ToolCallBehavior
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}
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class OpenAIAssistantToolCallBehavior {
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AssistantToolCallBehavior RequireCodeInterpreter()$
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AssistantToolCallBehavior RequireFunction(KernelFunction function)$
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AssistantToolCallBehavior RequireFileSearch()$
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}
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classDiagram
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OpenAIClientFactory ..> OpenAIServiceConfiguration
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class OpenAIClientFactory {
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<<internal>>
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}
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OpenAIServiceConfiguration --> OpenAIServiceType
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class OpenAIServiceConfiguration {
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OpenAIServiceConfiguration ForAzureOpenAI(string? apiKey, Uri? endpoint, HttpClient httpClient)$
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OpenAIServiceConfiguration ForAzureOpenAI(TokenCredential credential, Uri? endpoint, HttpClient httpClient)$
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OpenAIServiceConfiguration OpenAI(string? apiKey, Uri? endpoint, HttpClient httpClient)$
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-string? ApiKey
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-TokenCredential? TokenCredential
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-Uri? Endpoint
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-HttpClient? HttpClient
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-OpenAIServiceType ServiceType
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}
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OpenAIServiceConfigurationExtensions ..> OpenAIServiceConfiguration
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OpenAIServiceConfigurationExtensions ..> FileClient
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OpenAIServiceConfigurationExtensions ..> VectorStoreClient
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class OpenAIServiceConfigurationExtensions {
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+FileClient CreateFileClient(this OpenAIServiceConfiguration config)$
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+VectorStoreClient CreateVectorStoreClient(this OpenAIServiceConfiguration config)$
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}
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class OpenAIServiceType {
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<<enumeration>>
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AzureOpenAI
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OpenAI
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}
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class FileClient {
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<<OpenAI>>
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}
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class VectorStoreClient {
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<<OpenAI>>
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}
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classDiagram
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class OpenAIThreadCreationOptions {
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List~string~? CodeInterpterFileIds
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IReadOnlyList<ChatMessageContent>? Messages
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string? VectorStoreId
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Dictionary~string, string~? Metadata
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}
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