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This determines the `interaction_mode` value: -| Pattern | Classification | Indicators | -| --------------- | -------------------------- | ----------------------------------------------------------------------------------------------------------------------- | -| **Single-turn** | One request → one response | CLI entrypoint, `argparse` (must be removed), primarily stateless business logic, context persistence still recommended | -| **Multi-turn** | Conversation with memory | Chat loop, message history, session state, memory object | +| interaction_mode | Pattern | Indicators | +| ---------------- | -------------------------- | ----------------------------------------------------------------------------------------------------------------------- | +| **single-turn** | One request → one response | CLI entrypoint, `argparse` (must be removed), primarily stateless business logic, context persistence still recommended | +| **multi-turn** | Conversation with memory | Chat loop, message history, session state, memory object | This classification determines: @@ -255,6 +255,7 @@ When building and testing the wrapper, ensure you avoid these common pitfalls: - **Never silently remove existing optional auth paths.** If the source agent supported optional tokens/keys, preserve that optional behavior unless an approved behavior change is explicitly documented. - **Never use Forms for a single free-form follow-up.** Use A2A `input-required` for one-question free text prompts; reserve Forms for structured multi-field input. - **Never mismatch form field IDs and model fields.** Mismatched IDs cause silent parse failures. +- **Never use `context.session_id`.** The `RunContext` object uses `context.context_id` for session identification. - **Never guess platform object attributes.** `FormRender` uses `fields` (not `items`), `TextField` uses `label` (not `title`). - **Never skip null-path handling for forms.** Handle `None` for cancelled or unsubmitted forms. - **Never use `parse_initial_form(...)` truthiness to route turns in multi-turn agents.** Route by presence/absence of persisted session state from `context.load_history()`. diff --git a/skills/agentstack-wrapper/references/files.md b/skills/agentstack-wrapper/references/files.md index 50e1654fa3..2091913b99 100644 --- a/skills/agentstack-wrapper/references/files.md +++ b/skills/agentstack-wrapper/references/files.md @@ -71,7 +71,7 @@ If the agent needs **text** from non-plaintext files (PDFs, DOCX, XLSX, PPTX, im When uploaded files are provided via `FileField`, use this required strategy: -1. Determine the file `content_type`. +1. Determine the file `content_type` (MIME type). **Always use the MIME type for identification; do not rely on file extensions.** 2. For plain-text-like types (`text/*`, `text/csv`), attempt direct read first. 3. For document/image types, run extraction: call `create_extraction()` and poll `get_extraction()` until `status == "completed"`. 4. Handle extraction `failed` status explicitly with a clear error. diff --git a/skills/agentstack-wrapper/references/platform-extensions.md b/skills/agentstack-wrapper/references/platform-extensions.md index 54bfa47829..0ecfaeb66e 100644 --- a/skills/agentstack-wrapper/references/platform-extensions.md +++ b/skills/agentstack-wrapper/references/platform-extensions.md @@ -8,7 +8,7 @@ Use this reference for selecting and implementing Agent Stack platform extension | --------------------- | -------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | **LLM Proxy Service** | Needs platform-provided language model access and credentials | [LLM Proxy Service](https://agentstack.beeai.dev/stable/agent-integration/llm-proxy-service.md) | | **Forms** | Requires structured, named parameter inputs (not just free text) as initial input or during conversation | [Collect Input with Forms](https://agentstack.beeai.dev/stable/agent-integration/forms.md) | -| **Trajectory** | Emits multi-step reasoning, tool calls, long-running progress, or explicit debugging traces | [Visualize Agent Trajectories](https://agentstack.beeai.dev/stable/agent-integration/trajectory.md) | +| **Trajectory** | Yields multi-step reasoning, tool calls, long-running progress, or explicit debugging traces | [Visualize Agent Trajectories](https://agentstack.beeai.dev/stable/agent-integration/trajectory.md) | | **Files** | Needs to read image or document files uploaded by the user | [Working with Files](https://agentstack.beeai.dev/stable/agent-integration/files.md) | | **Error** | Needs to report structured, user-visible failures and stack traces | [Handle Errors](https://agentstack.beeai.dev/stable/agent-integration/error.md) | | **Settings** | Has configurable behavior (for example, "Thinking Mode") | [Configure Agent Settings](https://agentstack.beeai.dev/stable/agent-integration/agent-settings.md) | diff --git a/skills/agentstack-wrapper/references/trajectory.md b/skills/agentstack-wrapper/references/trajectory.md index 91a983b990..108239022c 100644 --- a/skills/agentstack-wrapper/references/trajectory.md +++ b/skills/agentstack-wrapper/references/trajectory.md @@ -6,9 +6,9 @@ Use this reference for trajectory decision rules and implementation. Use this decision rule: -- **Required:** emit trajectory for meaningful intermediate activity: multi-step execution, loops, tool calls, or progress updates. If the agent has multiple steps, it almost always needs trajectories. +- **Required:** yield trajectory for meaningful intermediate activity: multi-step execution, loops, tool calls, or progress updates. If the agent has multiple steps, it almost always needs trajectories. - **Required (Logs/Prints):** if the original agent uses logging or `print` statements, these are prime candidates to be converted into trajectory entries. -- **Required (hidden internals):** if internal steps are not directly visible, emit trajectory at visible milestones: start, major phase change, completion, and failure. +- **Required (hidden internals):** if internal steps are not directly visible, yield trajectory at visible milestones: start, major phase change, completion, and failure. - **Optional:** for simple single-step responders with no meaningful intermediate activity, trajectory may be omitted. - **Default:** when uncertain, enable trajectory. @@ -18,10 +18,12 @@ Trajectory entries are metadata for transparency and observability. They are not When implementing trajectories, follow the [Trajectory Documentation](https://agentstack.beeai.dev/stable/agent-integration/trajectory.md) and utilize these patterns: -- **`yield`**: Use `yield trajectory.trajectory_metadata(title="", content="")` within the main agent generator to emit progress updates. -- **`context.yield_async() or context.yield_sync()`**: to emit trajectory entries from within nested asynchronous functions or utility methods, yielding an `AgentMessage` with trajectory metadata. -- **`trajectory_metadata`**: Use the `metadata` field of `AgentMessage` constructed via the extension's `trajectory_metadata()` method to provide structured, machine-readable context for each trajectory step. +- **Import**: `from agentstack_sdk.a2a.extensions.services.trajectory import TrajectoryExtensionServer, TrajectoryExtensionSpec` +- **Injection**: `trajectory: Annotated[TrajectoryExtensionServer, TrajectoryExtensionSpec()]` as an agent function parameter. +- **`yield`**: Use `yield trajectory.trajectory_metadata(title="...", content="...")` within the main agent generator to emit progress updates. +- **`group_id` for updates**: Use `yield trajectory.trajectory_metadata(title="...", content="...", group_id="...")` to update an existing step instead of creating a new one. +- **Nested functions**: To emit trajectory entries from within nested asynchronous functions or utility methods where `yield` is not possible, you must pass the `trajectory` object and use `trajectory.trajectory_metadata(...)` but the final result must still be `yield`ed by the main generator. ## Anti-Patterns -- Never use `AgentMessage` with empty text to send trajectory metadata +- Never use `AgentMessage` with empty text to send trajectory metadata. diff --git a/skills/agentstack-wrapper/references/wrapper-entrypoint.md b/skills/agentstack-wrapper/references/wrapper-entrypoint.md index c69fce41e2..7626eb9756 100644 --- a/skills/agentstack-wrapper/references/wrapper-entrypoint.md +++ b/skills/agentstack-wrapper/references/wrapper-entrypoint.md @@ -16,7 +16,7 @@ Before writing the code, analyze the original source (docstrings, CLI help, READ - **Identity**: Set a user-friendly `name` and `version`. - **Documentation**: Use `documentation_url` pointing to the source. -- **Detail**: Populate `AgentDetail` with `interaction_mode` (Step 2), `tools`, `author` (must be a dictionary, e.g., `{"name": "agentstack"}`), and `programming_language`. +- **Detail**: Populate `AgentDetail` with `interaction_mode` (Step 2; must be either `"multi-turn"` or `"single-turn"`), `tools`, `author` (must be a dictionary, e.g., `{"name": "agentstack"}`), and `programming_language`. - **Skills**: Define `AgentSkill` entries with `id`, `name`, `description`, `tags`, and `examples`. - **Function Docstring**: The wrapper function's docstring should be a concise summary shown in registries. - **Extensions**: Identify if the agent needs optional platform capabilities (Step 8) like Citations, Secrets, or Trajectory. @@ -34,7 +34,7 @@ Before writing the code, analyze the original source (docstrings, CLI help, READ | `yield AgentArtifact(...)` / `ArtifactChunk` | Return files, documents, or chunks of structured content back to the caller | | `yield AuthRequired(...)` | Pause execution to request an OAuth or platform authentication token | | `Metadata(...)` | Attach extension metadata (e.g., Citations, Canvas references) to an `AgentMessage` | -| `emit trajectory output` | Surface meaningful intermediate logs/progress separately from final user-facing response | +| `yield trajectory.trajectory_metadata(...)` | Surface meaningful intermediate logs/progress separately from final user-facing response | | `server.run(host, port)` | Starts the HTTP server | ## Implementation: Conditional Workflows @@ -47,7 +47,7 @@ Based on the classification in Step 2, follow exactly ONE of these workflows: - [ ] Extract user message with `get_message_text(input)` - [ ] Only call `context.load_history()` if continuity is intentionally required - [ ] Pass necessary inputs (from forms or text) to original agent logic -- [ ] Emit trajectory for meaningful intermediate activity (same rule as all agents) +- [ ] Yield trajectory for meaningful intermediate activity (same rule as all agents) - [ ] Yield the final response via `AgentMessage(text=result)` - [ ] Persist both input and response via `context.store()` ``` @@ -58,7 +58,7 @@ Based on the classification in Step 2, follow exactly ONE of these workflows: - [ ] Store input: Save incoming user message immediately with `await context.store(input)` - [ ] Load history: Retrieve past conversation via `[msg async for msg in context.load_history() if isinstance(msg, Message)]` - [ ] Execute agent: Pass the filtered history to the original agent logic -- [ ] Emit trajectory for meaningful intermediate activity (same rule as all agents) +- [ ] Yield trajectory for meaningful intermediate activity (same rule as all agents) - [ ] Yield response: Return final answering chunks with `yield AgentMessage(text=...)` - [ ] Store response: Save the final response with `await context.store(response)` ```