docs: add testing resources to llms indexes (#4509)

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teachershuang
2026-08-19 14:41:56 +08:00
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commit 36dbc36857
2 changed files with 6 additions and 0 deletions
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@@ -21,6 +21,7 @@ The Agents SDK delivers a focused set of Python primitives—agents, tools, guar
- [Streaming](https://openai.github.io/openai-agents-python/streaming/): Shows how to subscribe to incremental events, stream tool progress, and render partial model outputs in real time.
- [REPL](https://openai.github.io/openai-agents-python/repl/): Interactive runner for exploring agent behavior, step-by-step execution, and debugging tool calls.
- [Visualization](https://openai.github.io/openai-agents-python/visualization/): Demonstrates embeddable visualizations for session timelines, message flows, and tool interactions.
- [Testing](https://openai.github.io/openai-agents-python/testing/): Build deterministic, provider-neutral tests for Agent, Sandbox, Realtime, and Voice workflows.
## Coordination, Safety, and Tooling
- [Handoffs](https://openai.github.io/openai-agents-python/handoffs/): Implements delegation between agents, argument passing, completion handling, and error recovery across agent boundaries.
@@ -47,6 +48,7 @@ The Agents SDK delivers a focused set of Python primitives—agents, tools, guar
- [memory interfaces](https://openai.github.io/openai-agents-python/ref/memory/): Session memory primitives, storage adapters, and utilities for retrieving historical context.
- [repl utilities](https://openai.github.io/openai-agents-python/ref/repl/): Programmatic access to the interactive REPL loop and inspection helpers.
- [tool base classes](https://openai.github.io/openai-agents-python/ref/tool/): Tool registration, invocation, and structured argument parsing.
- [testing utilities](https://openai.github.io/openai-agents-python/ref/testing/): Deterministic utilities for Agent model calls and Sandbox workflows.
- [tool context helpers](https://openai.github.io/openai-agents-python/ref/tool_context/): Manage shared resources, dependency injection, and cleanup for tool execution.
- [result objects](https://openai.github.io/openai-agents-python/ref/result/): Fields exposed on run results, including final content, tool call summaries, and attachments.
- [stream events](https://openai.github.io/openai-agents-python/ref/stream_events/): Event models emitted during streaming runs and their payload schemas.
@@ -85,6 +87,7 @@ The Agents SDK delivers a focused set of Python primitives—agents, tools, guar
- [Realtime events](https://openai.github.io/openai-agents-python/ref/realtime/events/): Event payload types delivered over realtime channels.
- [Realtime config](https://openai.github.io/openai-agents-python/ref/realtime/config/): Configuration models for realtime transports and behaviors.
- [Realtime model interface](https://openai.github.io/openai-agents-python/ref/realtime/model/): Interfaces for plugging in realtime-capable models.
- [Realtime testing](https://openai.github.io/openai-agents-python/ref/realtime/testing/): Scripted model utilities for Realtime session and tool workflow tests.
## API Reference Voice
- [Voice pipeline API](https://openai.github.io/openai-agents-python/ref/voice/pipeline/): Programmatic control over the voice pipeline and event flow.
@@ -96,6 +99,7 @@ The Agents SDK delivers a focused set of Python primitives—agents, tools, guar
- [Voice exceptions](https://openai.github.io/openai-agents-python/ref/voice/exceptions/): Exception types for voice pipelines and error handling guidance.
- [Voice model adapters](https://openai.github.io/openai-agents-python/ref/voice/model/): Interfaces for voice-enabled models and synthesis engines.
- [Voice utility helpers](https://openai.github.io/openai-agents-python/ref/voice/utils/): Audio conversion, streaming helpers, and testing utilities.
- [Voice testing](https://openai.github.io/openai-agents-python/ref/voice/testing/): Scripted STT, TTS, transcription, and workflow test utilities.
- [OpenAI voice provider](https://openai.github.io/openai-agents-python/ref/voice/models/openai_provider/): Adapter for OpenAI voice models.
- [OpenAI speech-to-text provider](https://openai.github.io/openai-agents-python/ref/voice/models/openai_stt/): Integration for STT models used in the pipeline.
- [OpenAI text-to-speech provider](https://openai.github.io/openai-agents-python/ref/voice/models/openai_tts/): Adapter for OpenAI TTS output.
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@@ -17,6 +17,7 @@ The SDK focuses on a concise set of primitives so you can orchestrate multi-agen
- [Streaming](https://openai.github.io/openai-agents-python/streaming/): Stream intermediate tool usage and LLM responses for responsive UIs.
- [REPL](https://openai.github.io/openai-agents-python/repl/): Use the interactive runner to prototype agents and inspect execution step by step.
- [Context strategies](https://openai.github.io/openai-agents-python/context/): Control what past messages, attachments, and tool runs are injected into prompts.
- [Testing](https://openai.github.io/openai-agents-python/testing/): Test Agent, Sandbox, Realtime, and Voice workflows deterministically without provider requests.
## Coordination and Safety
- [Handoffs](https://openai.github.io/openai-agents-python/handoffs/): Delegate tasks between agents with intent classification, argument passing, and return values.
@@ -46,6 +47,7 @@ The SDK focuses on a concise set of primitives so you can orchestrate multi-agen
- [Runs and sessions](https://openai.github.io/openai-agents-python/ref/run/): API for launching runs, streaming updates, and handling cancellations.
- [Results objects](https://openai.github.io/openai-agents-python/ref/result/): Data structures returned from agent runs, including final output and tool calls.
- [Tool interfaces](https://openai.github.io/openai-agents-python/ref/tool/): Create tools, parse arguments, and manage tool execution contexts.
- [Testing APIs](https://openai.github.io/openai-agents-python/ref/testing/): Reference provider-neutral testing utilities for Agent model calls and Sandbox workflows.
- [Tracing APIs](https://openai.github.io/openai-agents-python/ref/tracing/index/): Programmatic interfaces for creating traces, spans, and integrating custom processors.
- [Realtime APIs](https://openai.github.io/openai-agents-python/ref/realtime/agent/): Classes for realtime agents, runners, sessions, and event payloads.
- [Voice APIs](https://openai.github.io/openai-agents-python/ref/voice/pipeline/): Configure voice pipelines, inputs, events, and model adapters.