fix: parse context input

packages/uipath-openai-agents/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "uipath-openai-agents"
-version = "0.0.3"
+version = "0.0.4"
 description = "UiPath OpenAI Agents SDK"
 readme = "README.md"
 requires-python = ">=3.11"

packages/uipath-openai-agents/samples/agent-as-tools/.agent/CLI_REFERENCE.md

@@ -59,8 +59,10 @@ uv run uipath init --infer-bindings
 | `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments |
 | `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written |
 | `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) |
+| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. |
 | `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. |
 | `--debug-port` | value | `5678` | Port for the debug server (default: 5678) |
+| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided |
 
 **Usage Examples:**
 
@@ -99,6 +101,10 @@ uv run uipath run --resume
         enable_mocker_cache: Enable caching for LLM mocker responses
         report_coverage: Report evaluation coverage
         model_settings_id: Model settings ID to override agent settings
+        trace_file: File path where traces will be written in JSONL format
+        max_llm_concurrency: Maximum concurrent LLM requests
+        input_overrides: Input field overrides mapping (direct field override with deep merge)
+        resume: Resume execution from a previous suspended state
 
 
 **Arguments:**
@@ -120,6 +126,8 @@ uv run uipath run --resume
 | `--report-coverage` | flag | false | Report evaluation coverage |
 | `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') |
 | `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format |
+| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) |
+| `--resume` | flag | false | Resume execution from a previous suspended state |
 
 **Usage Examples:**
 
@@ -226,6 +234,53 @@ The `uipath.json` file is automatically generated by `uipath init` and defines y
 
 The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources.
 
+### `uipath assets`
+
+Manage UiPath assets.
+
+    Assets are key-value pairs that store configuration data, credentials,
+    and settings used by automation processes.
+
+    \b
+    Examples:
+        # List all assets in a folder
+        uipath assets list --folder-path "Shared"
+
+        # List with filter
+        uipath assets list --filter "ValueType eq 'Text'"
+
+        # List with ordering
+        uipath assets list --orderby "Name asc"
+
+
+**Subcommands:**
+
+**`uipath assets list`**
+
+List assets in a folder.
+
+    \b
+    Examples:
+        uipath assets list
+        uipath assets list --folder-path "Shared"
+        uipath assets list --filter "ValueType eq 'Text'"
+        uipath assets list --filter "Name eq 'MyAsset'"
+        uipath assets list --orderby "Name asc"
+        uipath assets list --top 50 --skip 100
+
+
+Options:
+- `--filter`: OData $filter expression (default: `Sentinel.UNSET`)
+- `--orderby`: OData $orderby expression (default: `Sentinel.UNSET`)
+- `--top`: Maximum number of items to return (default: 100, max: 1000) (default: `100`)
+- `--skip`: Number of items to skip (default: `0`)
+- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`)
+- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`)
+- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`)
+- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`)
+
+---
+
 ### `uipath buckets`
 
 Manage UiPath storage buckets and files.

packages/uipath-openai-agents/samples/agent-as-tools/.agent/SDK_REFERENCE.md

@@ -16,6 +16,25 @@ sdk = UiPath()
 sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token")
 ```
 
+### Agenthub
+
+Agenthub service
+
+```python
+# Fetch available models from LLM Gateway discovery endpoint.
+sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel]
+
+# Asynchronously fetch available models from LLM Gateway discovery endpoint.
+sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel]
+
+# Start a system agent job.
+sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str
+
+# Asynchronously start a system agent and return the job.
+sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str
+
+```
+
 ### Api Client
 
 Api Client service
@@ -31,6 +50,12 @@ service = sdk.api_client
 Assets service
 
 ```python
+# List assets using OData API with offset-based pagination.
+sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset]
+
+# Asynchronously list assets using OData API with offset-based pagination.
+sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset]
+
 # Retrieve an asset by its name.
 sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset
 
@@ -340,12 +365,24 @@ sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operatio
 # Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method.
 sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP
 
+# Retrieve the result of an IXP create validate extraction action operation (single-shot, non-blocking).
+sdk.documents.retrieve_ixp_extraction_validation_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction
+
+# Asynchronous version of the [`retrieve_ixp_extraction_validation_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_validation_result] method.
+sdk.documents.retrieve_ixp_extraction_validation_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction
+
 # Start an IXP extraction process without waiting for results (non-blocking).
 sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse
 
 # Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method.
 sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse
 
+# Start an IXP extraction validation action without waiting for results (non-blocking).
+sdk.documents.start_ixp_extraction_validation(action_title: str, action_priority: <enum 'ActionPriority, action_catalog: str, action_folder: str, storage_bucket_name: str, storage_bucket_directory_path: str, extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP) -> uipath.platform.documents.documents.StartOperationResponse
+
+# Asynchronous version of the [`start_ixp_extraction_validation`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction_validation] method.
+sdk.documents.start_ixp_extraction_validation_async(action_title: str, action_priority: <enum 'ActionPriority, action_catalog: str, action_folder: str, storage_bucket_name: str, storage_bucket_directory_path: str, extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP) -> uipath.platform.documents.documents.StartOperationResponse
+
 ```
 
 ### Entities
@@ -505,7 +542,7 @@ Llm service
 
 ```python
 # Generate chat completions using UiPath's normalized LLM Gateway API.
-sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview")
+sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview")
 
 ```
 
@@ -515,7 +552,7 @@ Llm Openai service
 
 ```python
 # Generate chat completions using UiPath's LLM Gateway service.
-sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21")
+sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21")
 
 # Generate text embeddings using UiPath's LLM Gateway service.
 sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21")