mirror of https://github.com/dapr/docs.git
fix: address feedback
Signed-off-by: Samantha Coyle <sam@diagrid.io>
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@ -59,7 +59,7 @@ The conversation API supports advanced tool calling capabilities that allow LLMs
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- Provide dynamic, context-aware responses
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- Create multi-step workflows and automation
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Tool calling follows OpenAI's interface standards, making it easy to integrate with existing AI development workflows and tools.
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Tool calling follows [OpenAI's function calling format](https://platform.openai.com/docs/guides/function-calling), making it easy to integrate with existing AI development workflows and tools.
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## Demo
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@ -16,7 +16,7 @@ description: "List of current alpha and beta APIs"
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| Bulk Subscribe | [Bulk subscribe proto](https://github.com/dapr/dapr/blob/5aba3c9aa4ea9b3f388df125f9c66495b43c5c9e/dapr/proto/runtime/v1/appcallback.proto#L57) | N/A | The bulk subscribe application callback receives multiple messages from a topic in a single call. | [Bulk Publish and Subscribe API]({{% ref "pubsub-bulk.md" %}}) | v1.10 |
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| Cryptography | [Crypto proto](https://github.com/dapr/dapr/blob/5aba3c9aa4ea9b3f388df125f9c66495b43c5c9e/dapr/proto/runtime/v1/dapr.proto#L118) | `v1.0-alpha1/crypto` | The cryptography API enables you to perform **high level** cryptography operations for encrypting and decrypting messages. | [Cryptography API]({{% ref "cryptography-overview.md" %}}) | v1.11 |
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| Jobs | [Jobs proto](https://github.com/dapr/dapr/blob/master/dapr/proto/runtime/v1/dapr.proto#L212-219) | `v1.0-alpha1/jobs` | The jobs API enables you to schedule and orchestrate jobs. | [Jobs API]({{% ref "jobs-overview.md" %}}) | v1.14 |
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| Conversation | [Conversation proto](https://github.com/dapr/dapr/blob/master/dapr/proto/runtime/v1/dapr.proto#L221-222) | `v1.0-alpha1/conversation` | Converse between different large language models using the conversation API. | [Conversation API]({{% ref "conversation-overview.md" %}}) | v1.15 |
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| Conversation | [Conversation proto](https://github.com/dapr/dapr/blob/master/dapr/proto/runtime/v1/dapr.proto#L226) | `v1.0-alpha2/conversation` | Converse between different large language models using the conversation API. | [Conversation API]({{% ref "conversation-overview.md" %}}) | v1.15 |
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## Beta APIs
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@ -12,6 +12,8 @@ The conversation API is currently in [alpha]({{% ref "certification-lifecycle.md
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Dapr provides an API to interact with Large Language Models (LLMs) and enables critical performance and security functionality with features like prompt caching, PII data obfuscation, and tool calling capabilities.
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Tool calling follow's OpenAI's function calling format, making it easy to integrate with existing AI development workflows and tools.
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## Converse
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This endpoint lets you converse with LLMs using the Alpha2 version of the API, which provides enhanced tool calling support and alignment with OpenAI's interface.
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@ -31,31 +33,31 @@ POST http://localhost:<daprPort>/v1.0-alpha2/conversation/<llm-name>/converse
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| Field | Description |
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| --------- | ----------- |
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| `name` | The name of the conversation component. Required |
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| `context_id` | The ID of an existing chat (like in ChatGPT). Optional |
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| `contextId` | The ID of an existing chat (like in ChatGPT). Optional |
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| `inputs` | Inputs for the conversation. Multiple inputs at one time are supported. Required |
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| `parameters` | Parameters for all custom fields. Optional |
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| `metadata` | [Metadata](#metadata) passed to conversation components. Optional |
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| `scrub_pii` | A boolean value to enable obfuscation of sensitive information returning from the LLM. Optional |
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| `scrubPii` | A boolean value to enable obfuscation of sensitive information returning from the LLM. Optional |
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| `temperature` | A float value to control the temperature of the model. Used to optimize for consistency (0) or creativity (1). Optional |
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| `tools` | Tools register the tools available to be used by the LLM during the conversation. Optional |
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| `tool_choice` | Controls which (if any) tool is called by the model. Values: `""`, `auto`, `required`, or specific tool name. Defaults to `""` if no tools are present, or `auto` if tools are present. Optional |
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| `toolChoice` | Controls which (if any) tool is called by the model. Values: `auto`, `required`, or specific tool name. Defaults to `auto` if tools are present. Optional |
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#### Input body
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| Field | Description |
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| --------- | ----------- |
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| `messages` | Array of conversation messages. Required |
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| `scrub_pii` | A boolean value to enable obfuscation of sensitive information present in the content field. Optional |
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| `scrubPii` | A boolean value to enable obfuscation of sensitive information present in the content field. Optional |
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#### Message types
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The API supports different message types through the `oneof` field:
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The API supports different message types:
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- **`of_developer`**: Developer role messages with optional name and content
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- **`of_system`**: System role messages with optional name and content
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- **`of_user`**: User role messages with optional name and content
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- **`of_assistant`**: Assistant role messages with optional name, content, and tool calls
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- **`of_tool`**: Tool role messages with tool ID, name, and content
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- **`ofDeveloper`**: Developer role messages with optional name and content
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- **`ofSystem`**: System role messages with optional name and content
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- **`ofUser`**: User role messages with optional name and content
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- **`ofAssistant`**: Assistant role messages with optional name, content, and tool calls
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- **`ofTool`**: Tool role messages with tool ID, name, and content
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#### Tool calling
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@ -196,9 +198,8 @@ RESPONSE = {
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### Tool choice options
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The `tool_choice` parameter controls how the model uses available tools:
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The `tool_choice` is an optional parameter that controls how the model can use available tools:
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- **`""`**: The model will not call any tool and instead generates a message (default when no tools are present)
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- **`auto`**: The model can pick between generating a message or calling one or more tools (default when tools are present)
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- **`required`**: Requires one or more functions to be called
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- **`{tool_name}`**: Forces the model to call a specific tool by name
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