From b4d7b935016abec86c9e39d0f27e7303cb75911f Mon Sep 17 00:00:00 2001 From: EusebiuJecan07 Date: Mon, 2 Feb 2026 14:48:05 +0200 Subject: [PATCH] feat: add openai company_agent sample --- packages/.DS_Store | Bin 0 -> 6148 bytes packages/uipath-openai-agents/.DS_Store | Bin 0 -> 6148 bytes .../uipath-openai-agents/samples/.DS_Store | Bin 0 -> 6148 bytes .../company_agent/.agent/CLI_REFERENCE.md | 618 +++++ .../.agent/REQUIRED_STRUCTURE.md | 64 + .../company_agent/.agent/SDK_REFERENCE.md | 680 +++++ .../company_agent/.claude/commands/eval.md | 287 ++ .../.claude/commands/new-agent.md | 103 + .../samples/company_agent/AGENTS.md | 21 + .../samples/company_agent/CLAUDE.md | 1 + .../company_agent/COMPANY_AGENTS_README.md | 192 ++ .../company_agent/DETAILED_FEATURES.md | 370 +++ .../samples/company_agent/README.md | 0 .../samples/company_agent/agent.mermaid | 15 + .../samples/company_agent/bindings.json | 4 + .../samples/company_agent/employees.py | 39 + 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packages/uipath-openai-agents/samples/company_agent/.agent/REQUIRED_STRUCTURE.md create mode 100644 packages/uipath-openai-agents/samples/company_agent/.agent/SDK_REFERENCE.md create mode 100644 packages/uipath-openai-agents/samples/company_agent/.claude/commands/eval.md create mode 100644 packages/uipath-openai-agents/samples/company_agent/.claude/commands/new-agent.md create mode 100644 packages/uipath-openai-agents/samples/company_agent/AGENTS.md create mode 100644 packages/uipath-openai-agents/samples/company_agent/CLAUDE.md create mode 100644 packages/uipath-openai-agents/samples/company_agent/COMPANY_AGENTS_README.md create mode 100644 packages/uipath-openai-agents/samples/company_agent/DETAILED_FEATURES.md create mode 100644 packages/uipath-openai-agents/samples/company_agent/README.md create mode 100644 packages/uipath-openai-agents/samples/company_agent/agent.mermaid create mode 100644 packages/uipath-openai-agents/samples/company_agent/bindings.json create mode 100644 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packages/uipath-openai-agents/samples/company_agent/sample_inputs/input_procurement.json create mode 100644 packages/uipath-openai-agents/samples/company_agent/uipath.json create mode 100644 packages/uipath-openai-agents/samples/company_agent/uv.lock diff --git a/packages/.DS_Store b/packages/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..966ed7b5b0bb836e7faaf905bd18bc3c259a6e28 GIT binary patch literal 6148 zcmeHKyG{c!5S%3`BGIIvp!5$=@CT z_Ik&br?|ZZV5`&a7FYsU&>ivN!_<7=ePS0CF(RF3yx|cyIN})(lkD>W=U(B213B9f zzvueE)3(_2w4Qsf@0*wY>Dce{zVinvDg~r~6p#W^Knnb-fY)By;xbXA6p#W^;9CLz zJ~X;xS2!fbr-MVZ0K_@NVVp-VL2Mo%c7;PCBQ#4YF{xH9h9#ZxR(W0FkeGB>H6K98(QqZE(=V+CfpTzdV#qyNzVk4aid0V(jW6tMYvvtIE@Ra+;I^IF^J w_jJ$sq`Pq*6b@02iBXQZ@N#?|NtxGt&i$@%NDMmTK_}{Gz;%&HfxlMZ3!y(5EC2ui literal 0 HcmV?d00001 diff --git a/packages/uipath-openai-agents/.DS_Store b/packages/uipath-openai-agents/.DS_Store new file mode 100644 index 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CLI Commands Reference + +The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. + +### Command Overview + +| Command | Purpose | When to Use | +|---------|---------|-------------| +| `init` | Initialize agent project | Creating a new agent or updating schema | +| `run` | Execute agent | Running agent locally or testing | +| `eval` | Evaluate agent | Testing agent performance with evaluation sets | + +--- + +### `uipath init` + +**Description:** Initialize the project. + +**Options:** + +| Option | Type | Default | Description | +|--------|------|---------|-------------| +| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | + +**Usage Examples:** + +```bash +# Initialize a new agent project +uv run uipath init + +# Initialize with specific entrypoint +uv run uipath init main.py + +# Initialize and infer bindings from code +uv run uipath init --infer-bindings +``` + +**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. + +--- + +### `uipath run` + +**Description:** Execute the project. + +**Arguments:** + +| Argument | Required | Description | +|----------|----------|-------------| +| `entrypoint` | No | N/A | +| `input` | No | N/A | + +**Options:** + +| Option | Type | Default | Description | +|--------|------|---------|-------------| +| `--resume` | flag | false | Resume execution from a previous state | +| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | +| `--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:** + +```bash +# Run agent with inline JSON input +uv run uipath run main.py '{"query": "What is the weather?"}' + +# Run agent with input from file +uv run uipath run main.py --file input.json + +# Run agent and save output to file +uv run uipath run agent '{"task": "Process data"}' --output-file result.json + +# Run agent with debugging enabled +uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 + +# Resume agent execution from previous state +uv run uipath run --resume +``` + +**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. + +--- + +### `uipath eval` + +**Description:** Run an evaluation set against the agent. + + Args: + entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) + eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) + eval_ids: Optional list of evaluation IDs + eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) + workers: Number of parallel workers for running evaluations + no_report: Do not report the evaluation results + 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:** + +| Argument | Required | Description | +|----------|----------|-------------| +| `entrypoint` | No | N/A | +| `eval_set` | No | N/A | + +**Options:** + +| Option | Type | Default | Description | +|--------|------|---------|-------------| +| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | +| `--no-report` | flag | false | Do not report the evaluation results | +| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | +| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | +| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | +| `--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:** + +```bash +# Run evaluation with auto-discovered files +uv run uipath eval + +# Run evaluation with specific entrypoint and eval set +uv run uipath eval main.py eval_set.json + +# Run evaluation without reporting results +uv run uipath eval --no-report + +# Run evaluation with custom number of workers +uv run uipath eval --workers 4 + +# Save evaluation output to file +uv run uipath eval --output-file eval_results.json +``` + +**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. + +--- + +### Common Workflows + +**1. Creating a New Agent:** +```bash +# Step 1: Initialize project +uv run uipath init + +# Step 2: Run agent to test +uv run uipath run main.py '{"input": "test"}' + +# Step 3: Evaluate agent performance +uv run uipath eval +``` + +**2. Development & Testing:** +```bash +# Run with debugging +uv run uipath run main.py '{"input": "test"}' --debug + +# Test with input file +uv run uipath run main.py --file test_input.json --output-file test_output.json +``` + +**3. Schema Updates:** +```bash +# After modifying Input/Output models, regenerate schema +uv run uipath init --infer-bindings +``` + +### Configuration File (uipath.json) + +The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. + +**Structure:** + +```json +{ + "entryPoints": [ + { + "filePath": "agent", + "uniqueId": "uuid-here", + "type": "agent", + "input": { + "type": "object", + "properties": { ... }, + "description": "Input schema", + "required": [ ... ] + }, + "output": { + "type": "object", + "properties": { ... }, + "description": "Output schema", + "required": [ ... ] + } + } + ], + "bindings": { + "version": "2.0", + "resources": [] + } +} +``` + +**When to Update:** + +1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas +2. **Changing Entry Point**: Update `filePath` if you rename or move your main file +3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed +4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph + +**Important Notes:** + +- The `uniqueId` should remain constant for the same agent +- Always use `type: "agent"` for LangGraph agents +- The `jsonSchema` must match your Pydantic models exactly +- Re-run `uipath init --infer-bindings` instead of manual edits when possible + + +## Service Commands Reference + +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. + +Buckets are cloud storage containers for files used by automation processes. + + +Bucket Operations: + list - List all buckets + create - Create a new bucket + delete - Delete a bucket + retrieve - Get bucket details + exists - Check if bucket exists + + +File Operations (use 'buckets files' subcommand): + files list - List files in a bucket + files search - Search files using glob patterns + files upload - Upload a file to a bucket + files download - Download a file from a bucket + files delete - Delete a file from a bucket + files exists - Check if a file exists + + +Examples: +  + # Bucket operations with explicit folder + uipath buckets list --folder-path "Shared" + uipath buckets create my-bucket --description "Data storage" + uipath buckets exists my-bucket + uipath buckets delete my-bucket --confirm +  + # Using environment variable for folder context + export UIPATH_FOLDER_PATH="Shared" + uipath buckets list + uipath buckets create my-bucket --description "Data storage" +  + # File operations + uipath buckets files list my-bucket + uipath buckets files search my-bucket "*.pdf" + uipath buckets files upload my-bucket ./data.csv remote/data.csv + uipath buckets files download my-bucket data.csv ./local.csv + uipath buckets files delete my-bucket old-data.csv --confirm + uipath buckets files exists my-bucket data.csv + + +**Subcommands:** + +**`uipath buckets create`** + +Create a new Bucket. + +Examples: + uipath buckets create my-resource + uipath buckets create my-resource --folder-path Shared + + +Arguments: +- `name` (required): N/A + +Options: +- `--description`: Bucket description +- `--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 delete`** + +Delete a bucket. + +  + Examples: + uipath buckets delete my-bucket --confirm + uipath buckets delete my-bucket --dry-run + + +Arguments: +- `name` (required): N/A + +Options: +- `--confirm`: Skip confirmation prompt +- `--dry-run`: Show what would be deleted without deleting +- `--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 exists`** + +Check if a Bucket exists. + +Examples: + uipath buckets exists my-resource + uipath buckets exists my-resource --folder-path Shared + + +Arguments: +- `name` (required): N/A + +Options: +- `--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 files` + +Manage files within buckets. + +  + Examples: +  + # List files in a bucket + uipath buckets files list my-bucket +  + # Search for files with glob pattern + uipath buckets files search my-bucket "*.pdf" +  + # Upload a file + uipath buckets files upload my-bucket ./data.csv remote/data.csv +  + # Download a file + uipath buckets files download my-bucket data.csv ./local.csv +  + # Delete a file + uipath buckets files delete my-bucket old-data.csv --confirm +  + # Check if file exists + uipath buckets files exists my-bucket data.csv + + +**`uipath buckets files delete`** + +Delete a file from a bucket. + +  + Arguments: + BUCKET_NAME: Name of the bucket + FILE_PATH: Path to file in bucket + +  + Examples: + uipath buckets files delete my-bucket old-data.csv --confirm + uipath buckets files delete reports archive/old.pdf --dry-run + + +Arguments: +- `bucket_name` (required): N/A +- `file_path` (required): N/A + +Options: +- `--confirm`: Skip confirmation prompt +- `--dry-run`: Show what would be deleted +- `--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 files download`** + +Download a file from a bucket. + +  + Arguments: + BUCKET_NAME: Name of the bucket + REMOTE_PATH: Path to file in bucket + LOCAL_PATH: Local destination path + +  + Examples: + uipath buckets files download my-bucket data.csv ./downloads/data.csv + uipath buckets files download reports monthly/report.pdf ./report.pdf + + +Arguments: +- `bucket_name` (required): N/A +- `remote_path` (required): N/A +- `local_path` (required): N/A + +Options: +- `--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 files exists`** + +Check if a file exists in a bucket. + +  + Arguments: + BUCKET_NAME: Name of the bucket + FILE_PATH: Path to file in bucket + +  + Examples: + uipath buckets files exists my-bucket data.csv + uipath buckets files exists reports monthly/report.pdf + + +Arguments: +- `bucket_name` (required): N/A +- `file_path` (required): N/A + +Options: +- `--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 files list`** + +List files in a bucket. + +  + Arguments: + BUCKET_NAME: Name of the bucket + +  + Examples: + uipath buckets files list my-bucket + uipath buckets files list my-bucket --prefix "data/" + uipath buckets files list reports --limit 10 --format json + uipath buckets files list my-bucket --all + + +Arguments: +- `bucket_name` (required): N/A + +Options: +- `--prefix`: Filter files by prefix (default: ``) +- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) +- `--offset`: Number of files to skip (default: `0`) +- `--all`: Fetch all files (auto-paginate) +- `--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 files search`** + +Search for files using glob patterns. + + Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. + +  + Arguments: + BUCKET_NAME: Name of the bucket + PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") + +  + Examples: + uipath buckets files search my-bucket "*.pdf" + uipath buckets files search reports "*.csv" --recursive + uipath buckets files search my-bucket "data_*.json" --prefix "archive/" + + +Arguments: +- `bucket_name` (required): N/A +- `pattern` (required): N/A + +Options: +- `--prefix`: Directory path to search in (default: ``) +- `--recursive`: Search subdirectories recursively +- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) +- `--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 files upload`** + +Upload a file to a bucket. + +  + Arguments: + BUCKET_NAME: Name of the bucket + LOCAL_PATH: Local file to upload + REMOTE_PATH: Destination path in bucket + +  + Examples: + uipath buckets files upload my-bucket ./data.csv remote/data.csv + uipath buckets files upload reports ./report.pdf monthly/report.pdf + + +Arguments: +- `bucket_name` (required): N/A +- `local_path` (required): N/A +- `remote_path` (required): N/A + +Options: +- `--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 list`** + +List all Buckets. + +Examples: + uipath buckets list + uipath buckets list --folder-path Shared + + +Options: +- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) +- `--offset`: 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 retrieve`** + +Retrieve a bucket by name or key. + +  + Examples: + uipath buckets retrieve --name "my-bucket" + uipath buckets retrieve --key "abc-123-def-456" --format json + + +Options: +- `--name`: Bucket name (default: `Sentinel.UNSET`) +- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) +- `--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`) + +--- + diff --git a/packages/uipath-openai-agents/samples/company_agent/.agent/REQUIRED_STRUCTURE.md b/packages/uipath-openai-agents/samples/company_agent/.agent/REQUIRED_STRUCTURE.md new file mode 100644 index 0000000..832fe51 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/.agent/REQUIRED_STRUCTURE.md @@ -0,0 +1,64 @@ +## Required Agent Structure + +**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. + +### Required Components + +Every agent implementation MUST include these two Pydantic models: + +```python +from pydantic import BaseModel + +class Input(BaseModel): + """Define input fields that the agent accepts""" + # Add your input fields here + pass + +class Output(BaseModel): + """Define output fields that the agent returns""" + # Add your output fields here + pass +``` + +### SDK Initialization + +```python +from uipath.platform import UiPath + +# Initialize with environment variables +uipath = UiPath() + +# With explicit credentials +uipath = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") + +# Or with client_id and client_secret +uipath = UiPath( + client_id=UIPATH_CLIENT_ID, + client_secret=UIPATH_CLIENT_SECRET, + scope=UIPATH_SCOPE, + base_url=UIPATH_URL +) +``` + +### Standard Agent Template + +Every agent should follow this basic structure: + +```python +from uipath.platform import UiPath +from pydantic import BaseModel + +# 1. Define Input, and Output models +class Input(BaseModel): + field: str + +class Output(BaseModel): + result: str + +# 2. Initialize with environment variables +uipath = UiPath() + +# 3. Define the main function (the main function can be named "main", "run" or "execute") +def main(input_data: Input) -> Output: + pass +``` diff --git a/packages/uipath-openai-agents/samples/company_agent/.agent/SDK_REFERENCE.md b/packages/uipath-openai-agents/samples/company_agent/.agent/SDK_REFERENCE.md new file mode 100644 index 0000000..0b09b52 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/.agent/SDK_REFERENCE.md @@ -0,0 +1,680 @@ +## API Reference + +This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. + +### SDK Initialization + +Initialize the UiPath SDK client + +```python +from uipath.platform import UiPath + +# Initialize with environment variables +sdk = UiPath() + +# Or with explicit credentials +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 + +```python +# Access api_client service methods +service = sdk.api_client + +``` + +### Assets + +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 + +# Asynchronously retrieve an asset by its name. +sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset + +# Gets a specified Orchestrator credential. +sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] + +# Asynchronously gets a specified Orchestrator credential. +sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] + +# Update an asset's value. +sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response + +# Asynchronously update an asset's value. +sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response + +``` + +### Attachments + +Attachments service + +```python +# Delete an attachment. +sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None + +# Delete an attachment asynchronously. +sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None + +# Download an attachment. +sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str + +# Download an attachment asynchronously. +sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str + +# Get the BlobFileAccess information for an attachment. +sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo + +# Get the BlobFileAccess information for an attachment asynchronously. +sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo + +# Open an attachment. +sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] + +# Open an attachment asynchronously. +sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] + +# Upload a file or content to UiPath as an attachment. +sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID + +# Upload a file or content to UiPath as an attachment asynchronously. +sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID + +``` + +### Buckets + +Buckets service + +```python +# Create a new bucket. +sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket + +# Async version of create(). +sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket + +# Delete a bucket. +sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None + +# Async version of delete(). +sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None + +# Delete a file from a bucket. +sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Delete a file from a bucket asynchronously. +sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Download a file from a bucket. +sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Download a file from a bucket asynchronously. +sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Check if bucket exists. +sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Async version of exists(). +sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Check if a file exists in a bucket. +sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Async version of exists_file(). +sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Get files using OData GetFiles API with offset-based pagination. +sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] + +# Async version of get_files() with offset-based pagination. +sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] + +# List buckets using OData API with offset-based pagination. +sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] + +# Async version of list() with offset-based pagination. +sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] + +# List files in a bucket using cursor-based pagination. +sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] + +# Async version of list_files() with cursor-based pagination. +sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] + +# Retrieve bucket information by its name. +sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket + +# Asynchronously retrieve bucket information by its name. +sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket + +# Upload a file to a bucket. +sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Upload a file to a bucket asynchronously. +sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +``` + +### Connections + +Connections service + +```python +# Invoke an activity synchronously. +sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any + +# Invoke an activity asynchronously. +sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any + +# Lists all connections with optional filtering. +sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] + +# Asynchronously lists all connections with optional filtering. +sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] + +# Synchronously retrieve connection API metadata. +sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata + +# Asynchronously retrieve connection API metadata. +sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata + +# Retrieve connection details by its key. +sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection + +# Asynchronously retrieve connection details by its key. +sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection + +# Retrieve event payload from UiPath Integration Service. +sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] + +# Retrieve event payload from UiPath Integration Service. +sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] + +# Retrieve an authentication token for a connection. +sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken + +# Asynchronously retrieve an authentication token for a connection. +sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken + +``` + +### Context Grounding + +Context Grounding service + +```python +# Add content to the index. +sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None + +# Asynchronously add content to the index. +sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None + +# Create a new context grounding index. +sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex + +# Create a new context grounding index. +sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex + +# Delete a context grounding index. +sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Asynchronously delete a context grounding index. +sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Downloads the Batch Transform result file to the specified path. +sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None + +# Asynchronously downloads the Batch Transform result file to the specified path. +sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None + +# Ingest data into the context grounding index. +sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Asynchronously ingest data into the context grounding index. +sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None + +# Retrieve context grounding index information by its name. +sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex + +# Asynchronously retrieve context grounding index information by its name. +sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex + +# Retrieves a Batch Transform task status. +sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse + +# Asynchronously retrieves a Batch Transform task status. +sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse + +# Retrieve context grounding index information by its ID. +sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any + +# Retrieve asynchronously context grounding index information by its ID. +sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any + +# Retrieves a Deep RAG task. +sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse + +# Asynchronously retrieves a Deep RAG task. +sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse + +# Search for contextual information within a specific index. +sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] + +# Search asynchronously for contextual information within a specific index. +sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] + +# Starts a Batch Transform, task on the targeted index. +sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse + +# Asynchronously starts a Batch Transform, task on the targeted index. +sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse + +# Starts a Deep RAG task on the targeted index. +sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse + +# Asynchronously starts a Deep RAG task on the targeted index. +sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse + +``` + +### Conversational + +Conversational service + +```python +# Access conversational service methods +service = sdk.conversational + +``` + +### Documents + +Documents service + +```python +# Classify a document using a DU Modern project. +sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] + +# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. +sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] + +# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). +sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction + +# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. +sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction + +# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). +sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction + +# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. +sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction + +# Extract predicted data from a document using an DU Modern/IXP project. +sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] + +# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. +sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] + +# Get the result of a validate classification action. +sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] + +# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. +sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] + +# Get the result of a validate extraction action. +sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] + +# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. +sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] + +# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). +sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP + +# 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: 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: uipath.platform.documents.documents.StartOperationResponse + +``` + +### Entities + +Entities service + +```python +# Delete multiple records from an entity in a single batch operation. +sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +# Asynchronously delete multiple records from an entity in a single batch operation. +sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +# Insert multiple records into an entity in a single batch operation. +sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +# Asynchronously insert multiple records into an entity in a single batch operation. +sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +# List all entities in Data Service. +sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] + +# Asynchronously list all entities in the Data Service. +sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] + +# List records from an entity with optional pagination and schema validation. +sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] + +# Asynchronously list records from an entity with optional pagination and schema validation. +sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] + +# Retrieve an entity by its key. +sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity + +# Asynchronously retrieve an entity by its key. +sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity + +# Update multiple records in an entity in a single batch operation. +sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +# Asynchronously update multiple records in an entity in a single batch operation. +sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse + +``` + +### Folders + +Folders service + +```python +# Retrieve the personal workspace folder for the current user. +sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace + +# Asynchronously retrieve the personal workspace folder for the current user. +sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace + +# Resolve a folder path to its corresponding folder key. +sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None + +# Asynchronously resolve a folder path to its corresponding folder key. +sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None + +# Retrieve the folder key by folder path with pagination support. +sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] + +# Retrieve the folder key by folder path with pagination support. +sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] + +``` + +### Guardrails + +Guardrails service + +```python +# Validate input text using the provided guardrail. +sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult + +``` + +### Jobs + +Jobs service + +```python +# Create and upload an attachment, optionally linking it to a job. +sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID + +# Create and upload an attachment asynchronously, optionally linking it to a job. +sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID + +# Check if job exists. +sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Async version of exists(). +sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool + +# Get the actual output data, downloading from attachment if necessary. +sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] + +# Asynchronously fetch the actual output data, downloading from attachment if necessary. +sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] + +# Link an attachment to a job. +sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) + +# Link an attachment to a job asynchronously. +sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) + +# List jobs using OData API with offset-based pagination. +sdk.jobs.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.job.Job] + +# Async version of list() with offset-based pagination. +sdk.jobs.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.job.Job] + +# List attachments associated with a specific job. +sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] + +# List attachments associated with a specific job asynchronously. +sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] + +# Restart a completed or failed job. +sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job + +# Async version of restart(). +sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job + +# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. +sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None + +# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. +sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None + +# Retrieve a job identified by its key. +sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job + +# Fetch payload data for API triggers. +sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any + +# Asynchronously fetch payload data for API triggers. +sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any + +# Asynchronously retrieve a job identified by its key. +sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job + +# Stop one or more jobs with specified strategy. +sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None + +# Async version of stop(). +sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None + +``` + +### Llm + +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-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") + +``` + +### Llm Openai + +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-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") + +``` + +### Mcp + +Mcp service + +```python +# List all MCP servers. +sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] + +# Asynchronously list all MCP servers. +sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] + +# Retrieve a specific MCP server by its slug. +sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer + +# Asynchronously retrieve a specific MCP server by its slug. +sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer + +``` + +### Processes + +Processes service + +```python +# Start execution of a process by its name. +sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job + +# Asynchronously start execution of a process by its name. +sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job + +``` + +### Queues + +Queues service + +```python +# Completes a transaction item with the specified result. +sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response + +# Asynchronously completes a transaction item with the specified result. +sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response + +# Creates a new queue item in the Orchestrator. +sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response + +# Asynchronously creates a new queue item in the Orchestrator. +sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response + +# Creates multiple queue items in bulk. +sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response + +# Asynchronously creates multiple queue items in bulk. +sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response + +# Creates a new transaction item in a queue. +sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response + +# Asynchronously creates a new transaction item in a queue. +sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response + +# Retrieves a list of queue items from the Orchestrator. +sdk.queues.list_items() -> httpx.Response + +# Asynchronously retrieves a list of queue items from the Orchestrator. +sdk.queues.list_items_async() -> httpx.Response + +# Updates the progress of a transaction item. +sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response + +# Asynchronously updates the progress of a transaction item. +sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response + +``` + +### Resource Catalog + +Resource Catalog service + +```python +# Get tenant scoped resources and folder scoped resources (accessible to the user). +sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). +sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +# Get resources of a specific type (tenant scoped or folder scoped). +sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +# Asynchronously get resources of a specific type (tenant scoped or folder scoped). +sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +# Search for tenant scoped resources and folder scoped resources (accessible to the user). +sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). +sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] + +``` + +### Tasks + +Tasks service + +```python +# Creates a new task synchronously. +sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None) -> uipath.platform.action_center.tasks.Task + +# Creates a new action asynchronously. +sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None) -> uipath.platform.action_center.tasks.Task + +# Retrieves a task by its key synchronously. +sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task + +# Retrieves a task by its key asynchronously. +sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task + +``` + diff --git a/packages/uipath-openai-agents/samples/company_agent/.claude/commands/eval.md b/packages/uipath-openai-agents/samples/company_agent/.claude/commands/eval.md new file mode 100644 index 0000000..15fa04f --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/.claude/commands/eval.md @@ -0,0 +1,287 @@ +--- +allowed-tools: Bash, Read, Write, Edit, Glob +description: Create and run agent evaluations +--- + +I'll help you create and run evaluations for your UiPath agent. + +## Step 1: Check project setup + +Let me check your project structure: + +!ls -la evaluations/ entry-points.json 2>/dev/null || echo "NEEDS_SETUP" + +# Check if schemas might be stale (main.py newer than entry-points.json) +!if [ -f main.py ] && [ -f entry-points.json ] && [ main.py -nt entry-points.json ]; then echo "SCHEMAS_MAY_BE_STALE"; fi + +### If NEEDS_SETUP + +If `entry-points.json` doesn't exist, initialize the project first: + +!uv run uipath init + +Then re-run this skill. + +### If SCHEMAS_MAY_BE_STALE + +Your `main.py` is newer than `entry-points.json`. Refresh schemas: + +!uv run uipath init --no-agents-md-override + +## Step 2: What would you like to do? + +1. **Create new eval set** - Set up evaluations from scratch +2. **Add test case** - Add a test to existing eval set +3. **Run evaluations** - Execute tests and see results +4. **Analyze failures** - Debug failing tests + +--- + +## Creating an Eval Set + +First, create the directory structure: + +!mkdir -p evaluations/eval-sets evaluations/evaluators + +Read the agent's Input/Output schema from entry-points.json to understand the data types. + +### Evaluator Selection Guide + +| If your output is... | Use this evaluator | evaluatorTypeId | +|---------------------|-------------------|-----------------| +| Exact string/number | `ExactMatchEvaluator` | `uipath-exact-match` | +| Contains key phrases | `ContainsEvaluator` | `uipath-contains` | +| Semantically correct | `LLMJudgeOutputEvaluator` | `uipath-llm-judge-output-semantic-similarity` | +| JSON with numbers | `JsonSimilarityEvaluator` | `uipath-json-similarity` | + +### Step 1: Create Evaluator Config Files + +**Each evaluator needs a JSON config file** in `evaluations/evaluators/`. + +**ExactMatchEvaluator** (`evaluations/evaluators/exact-match.json`): +```json +{ + "version": "1.0", + "id": "ExactMatchEvaluator", + "name": "ExactMatchEvaluator", + "description": "Checks for exact output match", + "evaluatorTypeId": "uipath-exact-match", + "evaluatorConfig": { + "name": "ExactMatchEvaluator", + "targetOutputKey": "*" + } +} +``` + +**LLMJudgeOutputEvaluator** (`evaluations/evaluators/llm-judge-output.json`): +```json +{ + "version": "1.0", + "id": "LLMJudgeOutputEvaluator", + "name": "LLMJudgeOutputEvaluator", + "description": "Uses LLM to judge semantic similarity", + "evaluatorTypeId": "uipath-llm-judge-output-semantic-similarity", + "evaluatorConfig": { + "name": "LLMJudgeOutputEvaluator", + "model": "gpt-4o-mini-2024-07-18" + } +} +``` + +**JsonSimilarityEvaluator** (`evaluations/evaluators/json-similarity.json`): +```json +{ + "version": "1.0", + "id": "JsonSimilarityEvaluator", + "name": "JsonSimilarityEvaluator", + "description": "Compares JSON structures", + "evaluatorTypeId": "uipath-json-similarity", + "evaluatorConfig": { + "name": "JsonSimilarityEvaluator", + "targetOutputKey": "*" + } +} +``` + +**ContainsEvaluator** (`evaluations/evaluators/contains.json`): +```json +{ + "version": "1.0", + "id": "ContainsEvaluator", + "name": "ContainsEvaluator", + "description": "Checks if output contains text", + "evaluatorTypeId": "uipath-contains", + "evaluatorConfig": { + "name": "ContainsEvaluator" + } +} +``` + +### Step 2: Create Eval Set + +**Eval Set Template** (`evaluations/eval-sets/default.json`): +```json +{ + "version": "1.0", + "id": "default-eval-set", + "name": "Default Evaluation Set", + "evaluatorRefs": ["ExactMatchEvaluator"], + "evaluations": [ + { + "id": "test-1", + "name": "Test description", + "inputs": { + "field": "value" + }, + "evaluationCriterias": { + "ExactMatchEvaluator": { + "expectedOutput": { + "result": "expected value" + } + } + } + } + ] +} +``` + +**Important notes:** +- `evaluatorRefs` must list ALL evaluators used in any test case +- Each evaluator in `evaluatorRefs` needs a matching JSON config in `evaluations/evaluators/` +- `evaluationCriterias` keys must match entries in `evaluatorRefs` +- Use `expectedOutput` for most evaluators +- LLM evaluators need `model` in their config. Available models are defined in the SDK's `ChatModels` class (`uipath.platform.chat.ChatModels`): + - `gpt-4o-mini-2024-07-18` (recommended for cost-efficiency) + - `gpt-4o-2024-08-06` (higher quality, higher cost) + - `o3-mini-2025-01-31` (latest reasoning model) + - Model availability varies by region and tenant configuration + - Check your UiPath Automation Cloud portal under AI Trust Layer for available models in your region + +--- + +## Adding a Test Case + +When adding a test to an existing eval set: + +1. Read the existing eval set +2. Check which evaluators are in `evaluatorRefs` +3. Add the new test to `evaluations` array +4. If using a new evaluator, add it to `evaluatorRefs` + +### Test Case Template + +```json +{ + "id": "test-{n}", + "name": "Description of what this tests", + "inputs": { }, + "evaluationCriterias": { + "EvaluatorName": { + "expectedOutput": { } + } + } +} +``` + +--- + +## Running Evaluations + +First, read entry-points.json to get the entrypoint name (e.g., `main`): + +!uv run uipath eval main evaluations/eval-sets/default.json --output-file eval-results.json + +**Note:** Replace `main` with your actual entrypoint from entry-points.json. + +### Analyze Results + +After running, read `eval-results.json` and show: +- Pass/fail summary table +- For failures: expected vs actual output +- Suggestions for fixing or changing evaluators + +### Results Format + +```json +{ + "evaluationSetResults": [{ + "evaluationRunResults": [ + { + "evaluationId": "test-1", + "evaluatorId": "ExactMatchEvaluator", + "result": { "score": 1.0 }, + "errorMessage": null + } + ] + }] +} +``` + +- Score 1.0 = PASS +- Score < 1.0 = FAIL (show expected vs actual) +- errorMessage present = ERROR (show message) + +--- + +## Evaluator Reference + +### Deterministic Evaluators + +**ExactMatchEvaluator** - Exact output matching +```json +"ExactMatchEvaluator": { + "expectedOutput": { "result": "exact value" } +} +``` + +**ContainsEvaluator** - Output contains substring +```json +"ContainsEvaluator": { + "searchText": "must contain this" +} +``` + +**JsonSimilarityEvaluator** - JSON comparison with tolerance +```json +"JsonSimilarityEvaluator": { + "expectedOutput": { "value": 10.0 } +} +``` + +### LLM-Based Evaluators + +**LLMJudgeOutputEvaluator** - Semantic correctness +```json +"LLMJudgeOutputEvaluator": { + "expectedOutput": { "summary": "Expected semantic meaning" } +} +``` + +**LLMJudgeTrajectoryEvaluator** - Validate agent reasoning +```json +"LLMJudgeTrajectoryEvaluator": { + "expectedAgentBehavior": "The agent should first fetch data, then process it" +} +``` + +--- + +## Common Issues + +### "No evaluations found" +- Check `evaluations/eval-sets/` directory exists +- Verify JSON file is valid + +### Evaluator not found +- Each evaluator needs a JSON config file in `evaluations/evaluators/` +- Config file must have correct `evaluatorTypeId` (see templates above) +- Config file must have `name` field at root level +- LLM evaluators need `model` in `evaluatorConfig` + +### Evaluator skipped +- Ensure evaluator is listed in root `evaluatorRefs` array +- Check evaluator config file exists in `evaluations/evaluators/` + +### Schema mismatch +- Run `uv run uipath init --no-agents-md-override` to refresh schemas +- Check `entry-points.json` matches your Input/Output models diff --git a/packages/uipath-openai-agents/samples/company_agent/.claude/commands/new-agent.md b/packages/uipath-openai-agents/samples/company_agent/.claude/commands/new-agent.md new file mode 100644 index 0000000..b1d0518 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/.claude/commands/new-agent.md @@ -0,0 +1,103 @@ +--- +allowed-tools: Bash, Read, Write, Edit, Glob +description: Create a new UiPath coded agent from a description +--- + +I'll help you create a new UiPath coded agent. + +## Step 1: Check existing project + +Let me check if this is an existing UiPath project: + +!ls uipath.json main.py 2>/dev/null || echo "NEW_PROJECT" + +## Step 2: Gather requirements + +**What should this agent do?** + +Please describe: + +- What inputs it needs (e.g., "a file path and bucket name") +- What it should accomplish (e.g., "process CSV data") +- What outputs it should return (e.g., "total count and status") + +I'll generate the agent structure based on your description. + +## Step 3: Generate agent + +After you describe the agent, I will: + +1. Create `main.py` with Input/Output Pydantic models and `async def main()` +2. Add entrypoint to `uipath.json` under `"functions": {"agent_name": "main.py:main"}` +3. Run `uv run uipath init --no-agents-md-override` to generate schemas + +**Template structure** (from .agent/REQUIRED_STRUCTURE.md): + +```python +from pydantic import BaseModel +from uipath.platform import UiPath + +class Input(BaseModel): + """Input fields for the agent.""" + # Fields based on your description + pass + + +class Output(BaseModel): + """Output fields returned by the agent.""" + # Fields based on your description + pass + + +async def main(input: Input) -> Output: + """Main entry point for the agent. + + Args: + input: The input data for the agent. + + Returns: + The output data from the agent. + """ + + uipath = UiPath() + + # TODO: Implement agent logic + return Output() +``` + +**Important notes:** + +- Use `async def main` - many SDK methods are async +- Initialize `UiPath()` inside the function, not at module level +- After creating main.py, add entrypoint to `uipath.json` under `"functions"` + +## Step 4: Update entry-point schemas + +After creating main.py, regenerate the schemas: + +!uv run uipath init --no-agents-md-override + +## Step 5: Verify + +Quick test to verify the setup: + +!uv run uipath run main '{}' 2>&1 | head -30 + +## Summary + +Once complete, you'll have: + +| File | Purpose | +| ------------------- | ----------------------------------- | +| `main.py` | Agent code with Input/Output models | +| `uipath.json` | Project configuration | +| `entry-points.json` | Entry point schemas | +| `bindings.json` | Resource bindings | +| `.agent/` | SDK and CLI reference docs | + +**Next steps:** + +1. Implement your logic in `main()` +2. Test: `uv run uipath run main '{"field": "value"}'` +3. Create `eval_set.json` for evaluations +4. Evaluate: `uv run uipath eval` diff --git a/packages/uipath-openai-agents/samples/company_agent/AGENTS.md b/packages/uipath-openai-agents/samples/company_agent/AGENTS.md new file mode 100644 index 0000000..b83142f --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/AGENTS.md @@ -0,0 +1,21 @@ +# Agent Code Patterns Reference + +This document provides practical code patterns for building UiPath coded agents using the UiPath Python SDK. + +--- + +## Documentation Structure + +This documentation is split into multiple files for efficient context loading. Load only the files you need: + +1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates + - **When to load:** Creating a new agent or understanding required patterns + - **Contains:** Required Pydantic models (Input, Output), SDK initialization patterns, standard agent template + +2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference + - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) + - **Contains:** All SDK services and methods with full signatures and type annotations + +3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation + - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands + - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/packages/uipath-openai-agents/samples/company_agent/CLAUDE.md b/packages/uipath-openai-agents/samples/company_agent/CLAUDE.md new file mode 100644 index 0000000..eef4bd2 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/CLAUDE.md @@ -0,0 +1 @@ +@AGENTS.md \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/company_agent/COMPANY_AGENTS_README.md b/packages/uipath-openai-agents/samples/company_agent/COMPANY_AGENTS_README.md new file mode 100644 index 0000000..cb42c19 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/COMPANY_AGENTS_README.md @@ -0,0 +1,192 @@ +# Company Multi-Agent System with Handoff + +This is a multi-agent system that demonstrates the handoff pattern using UiPath OpenAI Agents. The system uses an orchestrator agent to route employee requests to specialized department agents. + +## Architecture + +### Agent Hierarchy + +``` +orchestrator_agent (Main Entry Point) + ├── hr_agent (Human Resources) + ├── procurement_agent (Purchasing & Orders) + └── policy_agent (Company Policies & Compliance) +``` + +### Flow Diagram + +See `agent.mermaid` for the visual flow diagram showing how requests are routed between agents. + +## Agents + +### 1. Orchestrator Agent +**Role:** Routes incoming requests to the appropriate department specialist + +**Routing Logic:** +- HR matters (benefits, leave, salary, PTO) → `hr_agent` +- Procurement matters (purchases, orders, budgets) → `procurement_agent` +- Policy matters (company policies, compliance) → `policy_agent` + +### 2. HR Agent +**Specialization:** Human Resources and Employee Services + +**Tools:** +- `check_employee_benefits(employee_id)` - View employee benefits +- `submit_leave_request(employee_id, leave_type, days)` - Submit PTO requests +- `get_salary_info(employee_id)` - Access salary information + +**Example Queries:** +- "I need to submit a leave request for 5 days" +- "What are my employee benefits?" +- "When is my next salary review?" + +### 3. Procurement Agent +**Specialization:** Purchasing and Budget Management + +**Tools:** +- `create_purchase_order(item, quantity, vendor)` - Create POs +- `check_budget_availability(department, amount)` - Verify budgets +- `track_order_status(po_number)` - Track shipments + +**Example Queries:** +- "I need to order 50 laptops from Dell" +- "Check if Engineering has budget for $10,000" +- "Track purchase order PO-2024-0050" + +### 4. Policy Agent +**Specialization:** Company Policies and Compliance + +**Tools:** +- `get_company_policy(policy_type)` - Retrieve policy information +- `check_compliance_status(policy_area)` - Check compliance status + +**Example Queries:** +- "What is the remote work policy?" +- "Show me the expense reimbursement policy" +- "Check compliance status for data security" + +## Testing + +### Test Files Included + +1. **HR Test:** `input_hr.json` + ```json + { + "message": "I need to submit a leave request for 5 days of vacation. My employee ID is EMP12345." + } + ``` + +2. **Procurement Test:** `input_procurement.json` + ```json + { + "message": "I need to order 50 laptops from Dell for the Engineering department." + } + ``` + +3. **Policy Test:** `input_policy.json` + ```json + { + "message": "What is the company's remote work policy?" + } + ``` + +### Running Tests + +```bash +# Test HR agent +uv run uipath run agent --input-file input_hr.json + +# Test Procurement agent +uv run uipath run agent --input-file input_procurement.json + +# Test Policy agent +uv run uipath run agent --input-file input_policy.json +``` + +## How It Works + +### Handoff Pattern + +The system uses the **handoffs** parameter in the Agent configuration: + +```python +orchestrator_agent = Agent( + name="orchestrator_agent", + instructions="Route requests to appropriate specialists...", + handoffs=[hr_agent, procurement_agent, policy_agent], +) +``` + +### Key Features + +1. **Automatic Routing:** The orchestrator analyzes the request and hands off to the right specialist +2. **Specialized Tools:** Each agent has domain-specific tools +3. **Context Preservation:** Conversation context is maintained during handoffs +4. **Return Flow:** Specialists return control to orchestrator after completion + +### Execution Flow + +1. User sends request → `orchestrator_agent` +2. Orchestrator analyzes request type +3. Orchestrator hands off to specialist (e.g., `hr_agent`) +4. Specialist uses its tools to fulfill request +5. Specialist returns result to orchestrator +6. Orchestrator delivers final response + +## Customization + +### Adding New Agents + +1. Create a new specialist agent with its tools: + ```python + finance_agent = Agent( + name="finance_agent", + instructions="Handle financial queries...", + tools=[your_finance_tools], + ) + ``` + +2. Add to orchestrator's handoffs: + ```python + orchestrator_agent = Agent( + handoffs=[hr_agent, procurement_agent, policy_agent, finance_agent], + ) + ``` + +3. Update orchestrator instructions to include routing logic + +### Adding New Tools + +1. Define a function tool: + ```python + @function_tool + async def your_tool(param: str) -> str: + """Tool description.""" + # Implementation + return result + ``` + +2. Add to the appropriate agent's tools list + +## Benefits of This Pattern + +- **Separation of Concerns:** Each agent handles one domain +- **Scalability:** Easy to add new departments/agents +- **Maintainability:** Tools and logic are isolated per domain +- **Flexibility:** Orchestrator can route based on complex logic +- **Testability:** Each agent can be tested independently + +## Production Considerations + +For production use, replace mock implementations with: +- Real database queries +- API integrations +- Authentication/authorization checks +- Audit logging +- Error handling and fallbacks + +## Related Documentation + +- See `@.agent/REQUIRED_STRUCTURE.md` for agent structure patterns +- See `@.agent/SDK_REFERENCE.md` for UiPath SDK methods +- See parent samples for other handoff patterns (triage-agent, message_filter) diff --git a/packages/uipath-openai-agents/samples/company_agent/DETAILED_FEATURES.md b/packages/uipath-openai-agents/samples/company_agent/DETAILED_FEATURES.md new file mode 100644 index 0000000..f5961ea --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/DETAILED_FEATURES.md @@ -0,0 +1,370 @@ +# Detailed Company Agent Features + +## Overview + +This is an enhanced multi-agent system with detailed tools for HR, Procurement, and Policy departments. Each agent has comprehensive functionality with realistic workflows and detailed responses. + +--- + +## HR Agent - Human Resources Specialist + +### Capabilities + +The HR agent handles all employee-related queries with 6 specialized tools: + +#### 1. **PTO Balance Checking** (`check_pto_balance`) +- Shows annual allowance (20 days) +- Displays days used and remaining +- Shows accrual rate (1.67 days/month) +- Provides carryover information (5-day max) + +**Example Output:** +``` +PTO Balance for Employee EMP12345: +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Annual Allowance: 20 days +Used to Date: 8 days +REMAINING BALANCE: 12 days +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Accrual Rate: 1.67 days/month +Next Accrual Date: 1st of next month +``` + +#### 2. **Leave Request Submission** (`submit_leave_request`) +- Generates unique request ID +- Starts approval workflow +- Provides expected timeline +- Shows manager information +- Returns detailed confirmation + +**Example Output:** +``` +✓ Leave Request Submitted Successfully! +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Request ID: LR-2024-45789 +Employee: EMP12345 +Leave Type: VACATION +Start Date: 2024-02-15 +End Date: 2024-02-20 +Total Days: 5 +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Status: PENDING APPROVAL +Approver: Manager - Sarah Johnson +Expected Response: Within 2 business days +``` + +#### 3. **Leave Request Status Tracking** (`check_leave_request_status`) +- Track approval status +- See reviewer information +- Get last update timestamp + +#### 4. **Comprehensive Benefits Information** (`check_employee_benefits`) +Returns detailed breakdown of: +- Health & Wellness (Medical, Dental, Vision, Mental Health) +- Retirement (401k with 5% match) +- Time Off (PTO, Sick Leave, Holidays) +- Additional Benefits (Life Insurance, Professional Development, etc.) + +#### 5. **Salary & Compensation Details** (`get_salary_info`) +- Annual, monthly, and bi-weekly salary +- Compensation history +- Upcoming review dates +- Total compensation package value + +#### 6. **HR Meeting Scheduling** (`schedule_hr_meeting`) +- Schedule meetings with HR representatives +- Get meeting confirmation with Zoom links +- Specify topic and preferred date + +### HR Agent Workflow + +**For Leave Requests, the agent follows this process:** +1. Check PTO balance first +2. Show remaining days to employee +3. If sufficient balance, submit the request +4. Provide confirmation with request ID +5. Remind about pending manager approval + +--- + +## Procurement Agent - Purchasing Specialist + +### Capabilities + +The Procurement agent manages all purchasing activities with 6 specialized tools: + +#### 1. **Budget Availability Check** (`check_budget_availability`) +- Shows total allocated budget for fiscal year +- Displays spent amount and remaining balance +- Calculates budget utilization percentage +- Indicates approval requirements based on amount + +**Example Output:** +``` +Budget Analysis - Engineering +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Category: Equipment +Requested Amount: $60,000.00 +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +BUDGET SUMMARY: + Total Allocated (FY2024): $90,000.00 + Spent to Date: $18,000.00 + Remaining Balance: $72,000.00 + Budget Utilized: 20.0% +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +STATUS: APPROVED +✓ Sufficient funds available for this purchase. + +Approval Required: Director + Finance +``` + +#### 2. **Vendor Information** (`get_vendor_information`) +- Vendor rating (out of 5 stars) +- Total orders and on-time delivery percentage +- Payment terms and discounts +- Account manager contact +- Contract status and expiration + +#### 3. **Purchase Order Creation** (`create_purchase_order`) +Creates detailed PO with: +- Unique PO number +- Item details with cost breakdown +- Tax and shipping calculations +- Grand total +- Approval workflow information +- Expected timeline + +**Parameters:** +- Item description +- Quantity +- Unit price +- Vendor name +- Department +- Business justification + +#### 4. **Order Tracking** (`track_order_status`) +- Current order status (Pending/Approved/In Transit/Delivered) +- Timeline with checkpoints +- Carrier and tracking number +- Estimated delivery date +- Vendor contact information + +#### 5. **Budget Reallocation** (`request_budget_reallocation`) +- Move funds between budget categories +- Submit justification +- Track request ID +- Get approval timeline + +#### 6. **Preferred Vendor Search** (`search_preferred_vendors`) +- Find approved vendors by category +- See pre-negotiated discounts (10-20% off) +- Get benefits of using preferred vendors +- Categories: Electronics, Software, Office Supplies, Furniture + +### Procurement Agent Workflow + +**For Purchase Orders, the agent follows this process:** +1. Understand purchase requirements +2. Check budget availability FIRST +3. Get vendor information if needed +4. Create detailed purchase order +5. Provide PO number and approval workflow +6. Remind about approval requirements based on amount + +**Approval Thresholds:** +- < $5,000: Manager approval only +- $5,000 - $25,000: Director approval +- > $25,000: VP + Finance approval + +--- + +## Policy Agent - Company Policy & Compliance Specialist + +### Capabilities + +The Policy agent provides policy information and compliance status with 4 specialized tools: + +#### 1. **Company Policy Retrieval** (`get_company_policy`) + +**Available Policies:** +- **remote_work**: Remote work guidelines (up to 3 days/week, core hours, requirements) +- **expense**: Expense reimbursement (meal limits, travel pre-approval, submission) +- **code_of_conduct**: Ethics and professional behavior standards +- **pto**: PTO accrual, usage, carryover, and blackout periods +- **security**: Information security (passwords, device security, data handling) +- **travel**: Business travel booking guidelines and limits + +Each policy includes: +- Detailed requirements and guidelines +- Specific limits and thresholds +- Submission/approval processes +- Contact information +- Policy number and effective date + +#### 2. **Compliance Status Checking** (`check_compliance_status`) +- Department or company-wide compliance +- Compliance percentage +- Audit history and findings +- Certification status (ISO 27001, SOC 2, GDPR, OSHA) +- Upcoming requirements +- Required actions if needed + +#### 3. **Policy Clarification Requests** (`request_policy_clarification`) +- Submit specific policy questions +- Get ticket ID for tracking +- Expected response timeline (1-2 business days) +- Assigned to policy team + +#### 4. **Policy Document Search** (`search_policy_documents`) +- Search by keyword +- Find relevant policy sections +- Get links to full documents +- Access via intranet or mobile app + +--- + +## Testing Examples + +### Test HR Agent +```bash +uv run uipath run agent --input-file input_hr.json +``` + +**Input:** +```json +{ + "message": "I want to take a vacation from February 15 to February 20, 2024. Can you check if I have enough PTO days available and submit the request? My employee ID is EMP12345." +} +``` + +**Expected Flow:** +1. Agent hands off to `hr_agent` +2. Checks PTO balance → Shows remaining days +3. Submits leave request → Returns confirmation with request ID +4. Provides next steps and timeline + +--- + +### Test Procurement Agent +```bash +uv run uipath run agent --input-file input_procurement.json +``` + +**Input:** +```json +{ + "message": "I need to order 50 Dell XPS laptops at $1,200 each for the Engineering department. This is for our new hire onboarding program. Can you check if we have budget in the Equipment category and create a purchase order?" +} +``` + +**Expected Flow:** +1. Agent hands off to `procurement_agent` +2. Checks budget for Engineering/Equipment → Shows $60,000 request is approved +3. Gets vendor information for Dell +4. Creates purchase order → Returns PO number and details +5. Indicates Director + Finance approval required + +--- + +### Test Policy Agent +```bash +uv run uipath run agent --input-file input_policy.json +``` + +**Input:** +```json +{ + "message": "What is the company's remote work policy? I'd like to know how many days I can work from home." +} +``` + +**Expected Flow:** +1. Agent hands off to `policy_agent` +2. Retrieves remote_work policy +3. Returns formatted policy with: + - Up to 3 days/week eligibility + - Core hours requirement (10 AM - 3 PM) + - Equipment and security requirements + - Contact information + +--- + +## Key Implementation Features + +### 1. **Realistic Mock Data** +- Hash-based consistent data generation +- Different values for different employees/departments +- Realistic ranges and variations + +### 2. **Professional Formatting** +- Unicode box drawing characters for clean tables +- Structured sections with clear headers +- Status indicators (✓, ✗, ⚠️, ○) +- Color-coded information + +### 3. **Comprehensive Information** +- Policy numbers and effective dates +- Contact information and support channels +- Reference IDs for tracking +- Timeline expectations + +### 4. **Workflow Logic** +- Sequential tool calls (check first, then act) +- Validation and approval requirements +- Status tracking and updates +- Next steps guidance + +### 5. **Scalability** +- Easy to add new tools +- Easy to add new agents +- Easy to modify policies +- Template-based responses + +--- + +## Benefits of This Implementation + +1. **Employee Self-Service**: Employees can get instant answers without waiting for human agents +2. **Consistent Information**: Same policy information provided to everyone +3. **Audit Trail**: All requests generate tracking IDs +4. **Process Compliance**: Built-in approval workflows +5. **Time Savings**: Automated budget checks, status tracking, policy lookups + +--- + +## Future Enhancements + +Potential additions for production: +- Integration with actual HRIS systems (Workday, BambooHR) +- Real-time PTO balance from database +- Integration with procurement systems (SAP, Oracle) +- Real vendor APIs for pricing and availability +- Document management system integration +- Email notifications for approvals +- Mobile app integration +- Analytics and reporting dashboard + +--- + +## Technical Notes + +### Agent Configuration +All agents use `gpt-4o-mini` model for cost efficiency while maintaining quality responses. + +### Tool Organization +Tools are organized by department with clear naming conventions: +- HR tools: `check_*`, `submit_*`, `schedule_*`, `get_*` +- Procurement tools: `check_*`, `create_*`, `track_*`, `request_*`, `search_*` +- Policy tools: `get_*`, `check_*`, `request_*`, `search_*` + +### Error Handling +All tools include mock implementations that always succeed for demo purposes. Production implementations should include: +- Database connection error handling +- API timeout handling +- Validation error messages +- Permission checks +- Rate limiting + +--- + +For questions or issues, refer to the main README or contact the development team. diff --git a/packages/uipath-openai-agents/samples/company_agent/README.md b/packages/uipath-openai-agents/samples/company_agent/README.md new file mode 100644 index 0000000..e69de29 diff --git a/packages/uipath-openai-agents/samples/company_agent/agent.mermaid b/packages/uipath-openai-agents/samples/company_agent/agent.mermaid new file mode 100644 index 0000000..9c22b71 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/agent.mermaid @@ -0,0 +1,15 @@ +flowchart TB + __start__(__start__) + orchestrator_agent(orchestrator_agent) + hr_agent(hr_agent) + procurement_agent(procurement_agent) + policy_agent(policy_agent) + __end__(__end__) + __start__ --> |input|orchestrator_agent + orchestrator_agent --> |handoff|hr_agent + hr_agent --> |handoff_complete|orchestrator_agent + orchestrator_agent --> |handoff|procurement_agent + procurement_agent --> |handoff_complete|orchestrator_agent + orchestrator_agent --> |handoff|policy_agent + policy_agent --> |handoff_complete|orchestrator_agent + orchestrator_agent --> |output|__end__ diff --git a/packages/uipath-openai-agents/samples/company_agent/bindings.json b/packages/uipath-openai-agents/samples/company_agent/bindings.json new file mode 100644 index 0000000..5dd5a0f --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/bindings.json @@ -0,0 +1,4 @@ +{ + "version": "2.0", + "resources": [] +} \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/company_agent/employees.py b/packages/uipath-openai-agents/samples/company_agent/employees.py new file mode 100644 index 0000000..ccd9471 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/employees.py @@ -0,0 +1,39 @@ +"""Employee database and resolution utilities.""" + +# Employee name to ID mapping (mock employee database) +EMPLOYEE_DATABASE = { + "eusebiu jecan": "EMP67890", + "sarah martinez": "EMP12345", + "john smith": "EMP54321", + "emily chen": "EMP98765", + "michael brown": "EMP11111", +} + + +def resolve_employee_id(identifier: str) -> tuple[str, str]: + """Resolve employee name or ID to standardized employee ID and name. + + Args: + identifier: Employee name or ID + + Returns: + Tuple of (employee_id, employee_name) + """ + identifier_lower = identifier.lower().strip() + + # Check if it's a name in our database + if identifier_lower in EMPLOYEE_DATABASE: + emp_id = EMPLOYEE_DATABASE[identifier_lower] + emp_name = identifier.title() + return emp_id, emp_name + + # Check if it's an employee ID + if identifier.startswith("EMP"): + # Reverse lookup for name + for name, emp_id in EMPLOYEE_DATABASE.items(): + if emp_id == identifier: + return identifier, name.title() + return identifier, "Employee" + + # Default: treat as ID + return identifier, "Employee" diff --git a/packages/uipath-openai-agents/samples/company_agent/entry-points.json b/packages/uipath-openai-agents/samples/company_agent/entry-points.json new file mode 100644 index 0000000..1b822e2 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/entry-points.json @@ -0,0 +1,142 @@ +{ + "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", + "$id": "entry-points.json", + "entryPoints": [ + { + "filePath": "agent", + "uniqueId": "e570907b-f2f6-4ff0-96a8-ca1781d0e49f", + "type": "agent", + "input": { + "type": "object", + "properties": { + "messages": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "array", + "items": { + "type": "object" + } + } + ], + "title": "Messages", + "description": "User messages to send to the agent" + } + }, + "required": [ + "messages" + ] + }, + "output": { + "type": "object", + "properties": { + "result": { + "title": "Result", + "description": "The agent's response", + "anyOf": [ + { + "type": "string" + }, + { + "type": "object" + }, + { + "type": "array", + "items": { + "type": "object" + } + } + ] + } + }, + "required": [ + "result" + ] + }, + "graph": { + "nodes": [ + { + "id": "__start__", + "name": "__start__", + "type": "__start__", + "subgraph": null + }, + { + "id": "orchestrator_agent", + "name": "orchestrator_agent", + "type": "model", + "subgraph": null + }, + { + "id": "hr_agent", + "name": "hr_agent", + "type": "model", + "subgraph": null + }, + { + "id": "procurement_agent", + "name": "procurement_agent", + "type": "model", + "subgraph": null + }, + { + "id": "policy_agent", + "name": "policy_agent", + "type": "model", + "subgraph": null + }, + { + "id": "__end__", + "name": "__end__", + "type": "__end__", + "subgraph": null + } + ], + "edges": [ + { + "source": "__start__", + "target": "orchestrator_agent", + "label": "input" + }, + { + "source": "orchestrator_agent", + "target": "hr_agent", + "label": "handoff" + }, + { + "source": "hr_agent", + "target": "orchestrator_agent", + "label": "handoff_complete" + }, + { + "source": "orchestrator_agent", + "target": "procurement_agent", + "label": "handoff" + }, + { + "source": "procurement_agent", + "target": "orchestrator_agent", + "label": "handoff_complete" + }, + { + "source": "orchestrator_agent", + "target": "policy_agent", + "label": "handoff" + }, + { + "source": "policy_agent", + "target": "orchestrator_agent", + "label": "handoff_complete" + }, + { + "source": "orchestrator_agent", + "target": "__end__", + "label": "output" + } + ] + } + } + ] +} \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/company_agent/hr_tools.py b/packages/uipath-openai-agents/samples/company_agent/hr_tools.py new file mode 100644 index 0000000..b34b5ed --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/hr_tools.py @@ -0,0 +1,227 @@ +"""HR department tools for employee management.""" + +from agents import function_tool +from employees import resolve_employee_id + + +@function_tool +async def check_pto_balance(employee_identifier: str) -> str: + """Check remaining PTO (Paid Time Off) balance for an employee. + + Args: + employee_identifier: The employee name or ID to look up + + Returns: + Detailed PTO balance information + """ + # Resolve name to ID + employee_id, employee_name = resolve_employee_id(employee_identifier) + + # Mock implementation - simulate different balances + import hashlib + hash_val = int(hashlib.md5(employee_id.encode()).hexdigest(), 16) + remaining_days = (hash_val % 15) + 5 # 5-20 days + used_days = 20 - remaining_days + accrual_rate = 1.67 + + return f"""PTO Balance for {employee_name} ({employee_id}): +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Annual Allowance: 20 days +Used to Date: {used_days} days +REMAINING BALANCE: {remaining_days} days +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Accrual Rate: {accrual_rate} days/month +Next Accrual Date: 1st of next month +Carryover Limit: 5 days max +Status: Active""" + + +@function_tool +async def submit_leave_request(employee_identifier: str, leave_type: str, start_date: str, end_date: str, days: int) -> str: + """Submit a leave request for an employee and start the approval process. + + Args: + employee_identifier: The employee name or ID + leave_type: Type of leave (vacation, sick, personal, unpaid) + start_date: Start date of leave (format: YYYY-MM-DD) + end_date: End date of leave (format: YYYY-MM-DD) + days: Number of days requested + + Returns: + Leave request confirmation with tracking details + """ + # Resolve name to ID + employee_id, employee_name = resolve_employee_id(employee_identifier) + + # Mock implementation + import random + request_id = f"LR-2024-{random.randint(10000, 99999)}" + + return f"""✓ Leave Request Submitted Successfully! +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Request ID: {request_id} +Employee: {employee_name} ({employee_id}) +Leave Type: {leave_type.upper()} +Start Date: {start_date} +End Date: {end_date} +Total Days: {days} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Status: PENDING APPROVAL +Submitted: 2024-01-28 10:30 AM +Approver: Manager - Sarah Johnson +Expected Response: Within 2 business days +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Next Steps: +1. Your manager will be notified via email +2. You'll receive approval status within 48 hours +3. Track status in HR Portal with Request ID + +Note: This is an automated confirmation. Your leave is NOT approved until you receive manager approval.""" + + +@function_tool +async def check_leave_request_status(request_id: str) -> str: + """Check the status of a submitted leave request. + + Args: + request_id: The leave request ID (format: LR-2024-XXXXX) + + Returns: + Current status of the leave request + """ + # Mock implementation + import random + statuses = [ + ("APPROVED", "Your leave request has been approved by your manager."), + ("PENDING", "Your leave request is awaiting manager review."), + ("UNDER_REVIEW", "Your manager is currently reviewing your request."), + ] + status, message = random.choice(statuses) + + return f"""Leave Request Status +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Request ID: {request_id} +Status: {status} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +{message} +Last Updated: 2024-01-28 2:15 PM +Reviewed By: Sarah Johnson (Manager)""" + + +@function_tool +async def check_employee_benefits(employee_identifier: str) -> str: + """Check comprehensive employee benefits information. + + Args: + employee_identifier: The employee name or ID to look up + + Returns: + Detailed employee benefits information + """ + # Resolve name to ID + employee_id, employee_name = resolve_employee_id(employee_identifier) + + # Mock implementation + return f"""Employee Benefits Summary - {employee_name} ({employee_id}) +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +HEALTH & WELLNESS: + • Medical: Blue Cross Premium Plan + - Deductible: $500 individual / $1,000 family + - Coverage: 90% after deductible + • Dental: Delta Dental PPO + • Vision: VSP Vision Care + • Mental Health: 24/7 Employee Assistance Program + +RETIREMENT: + • 401(k): 5% company match (fully vested) + • Current Contribution: 6% of salary + • Roth 401(k) available + +TIME OFF: + • PTO: 20 days/year (accrued monthly) + • Sick Leave: 10 days/year + • Holidays: 11 paid company holidays + • Parental Leave: 12 weeks paid + +ADDITIONAL BENEFITS: + • Life Insurance: 2x annual salary (company paid) + • Disability: Short & Long-term coverage + • Professional Development: $2,000/year + • Gym Membership: $50/month reimbursement + • Remote Work: Up to 3 days/week""" + + +@function_tool +async def get_salary_info(employee_identifier: str) -> str: + """Get salary and compensation information for an employee. + + Args: + employee_identifier: The employee name or ID + + Returns: + Detailed salary information + """ + # Resolve name to ID + employee_id, employee_name = resolve_employee_id(employee_identifier) + + # Mock implementation + import hashlib + hash_val = int(hashlib.md5(employee_id.encode()).hexdigest(), 16) + base_salary = 75000 + (hash_val % 40000) + + return f"""Compensation Details - {employee_name} ({employee_id}) +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +BASE SALARY: + Annual: ${base_salary:,} + Monthly: ${base_salary//12:,} + Bi-weekly: ${base_salary//26:,} + +COMPENSATION HISTORY: + Last Increase: 3.5% (January 2024) + Previous Salary: ${int(base_salary/1.035):,} + Years at Current Level: 1.2 years + +UPCOMING REVIEWS: + Next Review: June 2024 + Eligible for: Merit increase (2-5%) + Performance Rating: Meets Expectations + +TOTAL COMPENSATION: + Base Salary: ${base_salary:,} + 401k Match (5%): ${int(base_salary * 0.05):,} + Benefits Value: ~$15,000 + TOTAL: ~${base_salary + int(base_salary * 0.05) + 15000:,}/year""" + + +@function_tool +async def schedule_hr_meeting(employee_identifier: str, topic: str, preferred_date: str) -> str: + """Schedule a meeting with HR department. + + Args: + employee_identifier: The employee name or ID + topic: Topic of discussion (benefits, performance, concerns, etc.) + preferred_date: Preferred date (format: YYYY-MM-DD) + + Returns: + Meeting confirmation + """ + # Resolve name to ID + employee_id, employee_name = resolve_employee_id(employee_identifier) + + # Mock implementation + import random + meeting_id = f"HR-MTG-{random.randint(1000, 9999)}" + + return f"""HR Meeting Scheduled +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Meeting ID: {meeting_id} +Employee: {employee_name} ({employee_id}) +Topic: {topic} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Scheduled: {preferred_date} at 2:00 PM +Duration: 30 minutes +Location: HR Office / Zoom (link will be sent) +HR Representative: Jennifer Martinez +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Calendar invite sent to your email. +Please bring any relevant documents.""" diff --git a/packages/uipath-openai-agents/samples/company_agent/main.py b/packages/uipath-openai-agents/samples/company_agent/main.py new file mode 100644 index 0000000..fdc74ba --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/main.py @@ -0,0 +1,173 @@ +"""Company Multi-Agent System with Orchestrator and Specialized Agents.""" + +from pydantic import BaseModel, Field + +# Import all tools from separate modules +from agents import Agent + + +# ============= REQUIRED UIPATH STRUCTURE ============= + +class Input(BaseModel): + """Input model for the company agent.""" + messages: str = Field(..., description="User messages to send to the agent") + + +class Output(BaseModel): + """Output model for the company agent.""" + result: str = Field(..., description="The response to the employee's request") +from hr_tools import ( + check_employee_benefits, + check_leave_request_status, + check_pto_balance, + get_salary_info, + schedule_hr_meeting, + submit_leave_request, +) +from policy_tools import ( + check_compliance_status, + get_company_policy, + request_policy_clarification, + search_policy_documents, +) +from procurement_tools import ( + check_budget_availability, + create_purchase_order, + get_vendor_information, + request_budget_reallocation, + search_preferred_vendors, + track_order_status, +) + +# ============= SPECIALIZED AGENTS ============= + +# HR Agent - Handles human resources queries +hr_agent = Agent( + name="hr_agent", + instructions="""You are an HR specialist assistant who helps employees with human resources matters. + + Your responsibilities: + - Check PTO balances and process leave requests + - Provide employee benefits information + - Access salary and compensation details + - Schedule HR meetings for complex issues + - Answer HR policy questions + + IMPORTANT: You can look up employees by their name OR employee ID. When an employee introduces themselves by name, use their name directly in the tools. + + IMPORTANT WORKFLOW for leave requests: + 1. First, ALWAYS check the employee's PTO balance using check_pto_balance() with their name or ID + 2. Show them how many days they have remaining + 3. If they have sufficient balance, proceed with submit_leave_request() + 4. Provide them with the confirmation details and request ID + 5. Remind them this is pending manager approval + + Be professional, empathetic, and maintain confidentiality. + When employees introduce themselves by name, acknowledge them personally.""", + model="gpt-4o-mini", + tools=[ + check_pto_balance, + submit_leave_request, + check_leave_request_status, + check_employee_benefits, + get_salary_info, + schedule_hr_meeting, + ], +) + +# Procurement Agent - Handles purchasing and procurement +procurement_agent = Agent( + name="procurement_agent", + instructions="""You are a procurement specialist assistant who helps employees with purchasing and vendor management. + + Your responsibilities: + - Check budget availability for purchases + - Create and manage purchase orders + - Track order status and shipments + - Provide vendor information + - Help with budget reallocation requests + - Recommend preferred vendors + + IMPORTANT WORKFLOW for purchase orders: + 1. Understand the purchase requirement (item, quantity, vendor) + 2. ALWAYS check budget availability FIRST using check_budget_availability() + 3. If budget is approved, proceed to get vendor info if needed + 4. Create the purchase order with detailed information + 5. Provide PO number and approval workflow details + + For orders >$5,000: Remind them Director approval is required. + For orders >$25,000: VP and Finance approval required. + + Always search for preferred vendors when employees ask about suppliers. + Be helpful in navigating procurement processes.""", + model="gpt-4o-mini", + tools=[ + check_budget_availability, + get_vendor_information, + create_purchase_order, + track_order_status, + request_budget_reallocation, + search_preferred_vendors, + ], +) + +# Policy Agent - Handles company policies and compliance +policy_agent = Agent( + name="policy_agent", + instructions="""You are a company policy and compliance specialist who helps employees understand company policies. + + Your responsibilities: + - Provide detailed policy information + - Check compliance status + - Answer policy questions and interpretations + - Help employees search policy documents + - Submit policy clarification requests + + IMPORTANT APPROACH: + 1. When asked about a policy, use get_company_policy() to retrieve the full policy + 2. Extract and present the relevant sections clearly + 3. If the policy is complex, offer to submit a clarification request + 4. Always cite the policy number and effective date + + Common policies you handle: + - remote_work: Remote work schedules and requirements + - expense: Expense reimbursement limits and procedures + - pto: PTO accrual, usage, and carryover rules + - travel: Business travel booking and limits + - security: Information security and data handling + - code_of_conduct: Ethics and professional behavior + + Be clear, precise, and cite specific policy sections. + If employees have complex scenarios, help them submit clarification requests.""", + model="gpt-4o-mini", + tools=[ + get_company_policy, + check_compliance_status, + request_policy_clarification, + search_policy_documents, + ], +) + +# ============= ORCHESTRATOR AGENT ============= + +# Orchestrator Agent (Main Entry Point) - Routes to specialized agents +orchestrator_agent = Agent( + name="orchestrator_agent", + instructions="""You are a company assistant orchestrator that routes employee requests to the appropriate department specialist. + + Route requests as follows: + - HR matters (benefits, leave, salary, PTO, employee relations) → handoff to hr_agent + - Procurement matters (purchases, orders, budgets, vendors, supplies) → handoff to procurement_agent + - Policy matters (company policies, compliance, regulations, guidelines) → handoff to policy_agent + + IMPORTANT: You MUST immediately analyze the user's request and handoff to the appropriate specialist. + DO NOT ask clarifying questions or provide a menu of options. + Read the user's message, determine which department should handle it, and handoff immediately. + + If a request spans multiple areas, choose the primary department that should handle it first.""", + model="gpt-4o", + handoffs=[hr_agent, procurement_agent, policy_agent], +) + +# Main agent (entry point for UiPath) +agent = orchestrator_agent diff --git a/packages/uipath-openai-agents/samples/company_agent/openai_agents.json b/packages/uipath-openai-agents/samples/company_agent/openai_agents.json new file mode 100644 index 0000000..61974ae --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/openai_agents.json @@ -0,0 +1,5 @@ +{ + "agents": { + "agent": "main.py:agent" + } +} diff --git a/packages/uipath-openai-agents/samples/company_agent/policy_tools.py b/packages/uipath-openai-agents/samples/company_agent/policy_tools.py new file mode 100644 index 0000000..957cb72 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/policy_tools.py @@ -0,0 +1,422 @@ +"""Policy department tools for company policies and compliance.""" + +from agents import function_tool + + +@function_tool +async def get_company_policy(policy_type: str) -> str: + """Get detailed company policy information. + + Args: + policy_type: Type of policy (remote_work, expense, code_of_conduct, pto, security, travel, etc.) + + Returns: + Comprehensive policy information + """ + # Mock implementation + policies = { + "remote_work": """REMOTE WORK POLICY (Rev. 2024.1) +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +ELIGIBILITY: + • Available to all full-time employees + • Must have manager approval + • Role must be suitable for remote work + +SCHEDULE: + • Up to 3 days per week remote + • Core hours: 10:00 AM - 3:00 PM (local time) + • Must be available for meetings/collaboration + +REQUIREMENTS: + ✓ Secure home office setup + ✓ Reliable high-speed internet (minimum 25 Mbps) + ✓ Company-provided equipment only + ✓ VPN connection for all work activities + +EXPECTATIONS: + • Maintain same productivity standards + • Respond to communications promptly + • Attend all required meetings + • Available during core hours + +EQUIPMENT: + Company provides: Laptop, monitor, headset + Employee provides: Desk, chair, internet + +Questions? Contact: remote-work@company.com +Policy effective: January 1, 2024""", + + "expense": """EXPENSE REIMBURSEMENT POLICY +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +SUBMISSION REQUIREMENTS: + • Submit within 30 days of expense date + • Include itemized receipts (>$25) + • Use company expense system + • Manager approval required + +DAILY LIMITS: + Meals: + Breakfast: $15 + Lunch: $25 + Dinner: $50 + (No alcohol reimbursement) + + Transportation: + Mileage: $0.67/mile (IRS rate) + Parking: Actual cost (receipt required) + Ride-share: Up to $75/trip + +TRAVEL: + Pre-approval Required (>$500): + • Flight bookings + • Hotel reservations (>3 nights) + • Rental cars + + Guidelines: + • Book economy class only + • Hotels: up to $200/night + • No first-class upgrades + +PROHIBITED: + ✗ Personal entertainment + ✗ Minibar charges + ✗ Luxury upgrades + ✗ Non-business guests + +Submit expenses: expenses.company.com +Policy Number: EXP-2024.1""", + + "code_of_conduct": """CODE OF CONDUCT & ETHICS +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +CORE PRINCIPLES: + 1. Act with Integrity + 2. Respect Everyone + 3. Protect Company Assets + 4. Maintain Confidentiality + 5. Avoid Conflicts of Interest + +PROFESSIONAL BEHAVIOR: + ✓ Treat all colleagues with respect + ✓ Maintain professional communication + ✓ Dress appropriately for workplace + ✓ Be punctual and reliable + +PROHIBITED CONDUCT: + ✗ Harassment or discrimination + ✗ Violence or threats + ✗ Substance abuse at work + ✗ Theft or fraud + ✗ Disclosure of confidential information + +DIVERSITY & INCLUSION: + We are committed to a workplace free from + discrimination based on: + • Race, color, religion + • Gender, sexual orientation + • Age, disability + • National origin + +REPORTING VIOLATIONS: + • Report to: HR or ethics@company.com + • Anonymous hotline: 1-800-ETHICS-1 + • No retaliation for good-faith reports + • Investigation within 10 business days + +Violations may result in disciplinary action +up to and including termination. + +Acknowledgment required annually. +Last Updated: January 2024""", + + "pto": """PAID TIME OFF (PTO) POLICY +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +ACCRUAL: + • 20 days per year (full-time) + • 1.67 days accrued per month + • Pro-rated for mid-year hires + • Begins accruing on start date + +USAGE: + • Request via HR system + • Manager approval required + • Minimum 2 weeks notice (>3 days) + • 48 hours notice for single days + +CARRYOVER: + • Maximum: 5 days to next year + • Use-it-or-lose-it after 12 months + • No cash payout for unused PTO + +BLACKOUT PERIODS: + Limited PTO during: + • End of quarter (last 2 weeks) + • Major product launches + • Peak business seasons + (Exceptions for emergencies) + +SICK LEAVE: + • Separate bank: 10 days/year + • No advance notice required + • Doctor's note (>3 consecutive days) + • Does not carry over + +HOLIDAYS: + 11 Paid Company Holidays: + New Year's Day, Memorial Day, + Independence Day, Labor Day, + Thanksgiving (2 days), Christmas (2 days), + + 3 Floating Holidays + +Questions? pto@company.com +Policy: HR-PTO-2024.1""", + + "security": """INFORMATION SECURITY POLICY +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +DATA CLASSIFICATION: + 🔴 Confidential: Customer data, financials + 🟡 Internal: Company documents, projects + 🟢 Public: Marketing materials, press releases + +PASSWORD REQUIREMENTS: + • Minimum 12 characters + • Mix of upper/lower/numbers/symbols + • Change every 90 days + • No password reuse + • Enable MFA (Multi-Factor Auth) + +DEVICE SECURITY: + ✓ Use company-provided devices only + ✓ Enable full disk encryption + ✓ Auto-lock after 5 minutes + ✓ Keep software updated + ✓ Install company antivirus + +DATA HANDLING: + • No confidential data on personal devices + • Use encrypted file sharing only + • No public WiFi for sensitive work + • VPN required for remote access + • Shred sensitive documents + +EMAIL SECURITY: + ⚠️ Be alert for phishing attempts + • Verify sender before clicking links + • Don't share credentials via email + • Report suspicious emails: security@company.com + +INCIDENT REPORTING: + Report immediately: + • Lost/stolen devices + • Suspected breaches + • Phishing attempts + • Unauthorized access + Contact: security@company.com | 1-800-SEC-HELP + +Violations may result in termination and +legal action. Training required annually. + +Policy: SEC-2024.1 | Effective: Jan 1, 2024""", + + "travel": """BUSINESS TRAVEL POLICY +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +PRE-APPROVAL REQUIRED: + • All travel must be pre-approved + • Submit request 2 weeks in advance + • Use corporate travel portal + • Business justification required + +AIRFARE: + • Book economy class only + • Choose lowest logical fare + • Direct flights when possible + • No first/business class (unless >6 hours) + • Use company travel portal + +LODGING: + • Up to $200/night in major cities + • Up to $150/night in other locations + • Book through company portal + • Stay at preferred hotels (discounts) + +GROUND TRANSPORTATION: + • Rental cars: Compact/mid-size only + • Decline extra insurance (covered) + • Ride-share: Acceptable for short trips + • Public transit: Encouraged when practical + +MEALS (per day): + • Breakfast: $15 + • Lunch: $25 + • Dinner: $50 + • No alcohol reimbursement + +EXPENSE SUBMISSION: + • Submit within 30 days of return + • Attach all receipts + • Itemize daily expenses + • Manager approval required + +CANCELLATION: + • Cancel unused reservations immediately + • Company not responsible for personal + expenses from trip extensions + +Contact: travel@company.com +Policy: TRV-2024.1""" + } + + policy_content = policies.get(policy_type.lower()) + if policy_content: + return policy_content + else: + return f"""Policy Not Found: '{policy_type}' +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Available policies: + • remote_work - Remote work guidelines + • expense - Expense reimbursement + • code_of_conduct - Ethics and behavior + • pto - Paid time off and holidays + • security - Information security + • travel - Business travel guidelines + +For other policies, contact: + 📧 policy@company.com + 📞 1-800-POLICY-1 + 🌐 intranet.company.com/policies""" + +@function_tool +async def check_compliance_status(policy_area: str, department: str = "Company-wide") -> str: + """Check compliance status for a policy area. + + Args: + policy_area: Area to check (data_security, safety, training, hr_compliance, etc.) + department: Specific department or "Company-wide" + + Returns: + Detailed compliance status and requirements + """ + # Mock implementation + import random + compliance_pct = random.randint(85, 100) + status = "COMPLIANT" if compliance_pct >= 90 else "NEEDS ATTENTION" + dept_code = department[:3].upper() + + if compliance_pct < 95: + actions_text = """REQUIRED ACTIONS: + • Complete outstanding training modules + • Update security protocols + • Review and sign policy updates""" + else: + actions_text = "No immediate actions required. Maintain current compliance level." + + return f"""Compliance Status Report +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Area: {policy_area.upper()} +Scope: {department} +Status: {status} ({compliance_pct}%) +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +AUDIT HISTORY: + Last Audit: January 15, 2024 + Auditor: External Compliance Firm + Findings: {random.randint(0, 3)} minor issues + Remediation: {'Complete' if compliance_pct >= 95 else 'In Progress'} + +CERTIFICATIONS: + {'✓' if compliance_pct >= 95 else '⚠'} ISO 27001 (Information Security) + {'✓' if compliance_pct >= 95 else '⚠'} SOC 2 Type II + {'✓' if compliance_pct >= 90 else '⚠'} GDPR Compliance + {'✓' if compliance_pct >= 90 else '⚠'} OSHA Safety Standards + +UPCOMING REQUIREMENTS: + • Next Audit: July 2024 + • Annual Training: Due March 31, 2024 + • Policy Review: Quarterly + • Certification Renewal: Q3 2024 + +{actions_text} + +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Questions? compliance@company.com +Report: COMP-{dept_code}-2024-01""" + +@function_tool +async def request_policy_clarification(policy_name: str, specific_question: str, employee_id: str) -> str: + """Request clarification on a specific policy question. + + Args: + policy_name: Name of the policy + specific_question: Specific question about the policy + employee_id: Employee ID requesting clarification + + Returns: + Clarification request confirmation + """ + # Mock implementation + import random + ticket_id = f"POL-{random.randint(10000, 99999)}" + + return f"""Policy Clarification Request Submitted +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Ticket ID: {ticket_id} +Employee: {employee_id} +Policy: {policy_name} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +YOUR QUESTION: +{specific_question} + +RESPONSE TIMELINE: + Priority: Normal + Expected Response: 1-2 business days + Assigned To: Policy Team + +You will receive a response via email from: +policy-support@company.com + +ADDITIONAL RESOURCES: + 📚 Policy Portal: intranet.company.com/policies + 📧 Email: policy@company.com + 📞 Policy Hotline: 1-800-POLICY-1 + +Reference your ticket ID ({ticket_id}) in any +follow-up communications.""" + +@function_tool +async def search_policy_documents(keyword: str) -> str: + """Search company policy documents by keyword. + + Args: + keyword: Search term (e.g., "vacation", "laptop", "expense") + + Returns: + Relevant policy documents and sections + """ + # Mock implementation + results = { + "vacation": ["PTO Policy (Section 2.1)", "Holiday Schedule 2024", "Leave Request Process"], + "laptop": ["IT Equipment Policy", "Security Policy (Device Management)", "Remote Work Policy"], + "expense": ["Expense Reimbursement Policy", "Travel Policy", "Corporate Card Guidelines"], + "remote": ["Remote Work Policy", "Home Office Setup Guidelines", "VPN Usage Policy"], + "travel": ["Business Travel Policy", "Expense Reimbursement", "Travel Booking Procedures"], + } + + found = [] + for key, policies in results.items(): + if keyword.lower() in key: + found.extend(policies) + + if not found: + found = ["General Employee Handbook", "Contact policy@company.com for specific information"] + + return f"""Policy Search Results: "{keyword}" +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Found {len(found)} relevant document(s): + +""" + "\n".join([f" {i+1}. {doc}" for i, doc in enumerate(found)]) + f""" + +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Access full documents: + 🌐 intranet.company.com/policies + 📱 Mobile App: Company Policies + +Need help? policy@company.com""" + diff --git a/packages/uipath-openai-agents/samples/company_agent/procurement_tools.py b/packages/uipath-openai-agents/samples/company_agent/procurement_tools.py new file mode 100644 index 0000000..9494fab --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/procurement_tools.py @@ -0,0 +1,267 @@ +"""Procurement department tools for purchasing and vendor management.""" + +from agents import function_tool + + +@function_tool +async def check_budget_availability(department: str, amount: float, category: str = "General") -> str: + """Check if budget is available for a department and spending category. + + Args: + department: Department name (Engineering, Marketing, Sales, etc.) + amount: Amount to check in USD + category: Budget category (Equipment, Software, Travel, Supplies, etc.) + + Returns: + Detailed budget availability status + """ + # Mock implementation + import hashlib + hash_val = int(hashlib.md5(department.encode()).hexdigest(), 16) + available = amount * (1.2 + (hash_val % 100) / 100) + allocated = available * 1.5 + spent = allocated - available + percent_used = (spent / allocated) * 100 + + status = "APPROVED" if available >= amount else "INSUFFICIENT FUNDS" + + return f"""Budget Analysis - {department} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Category: {category} +Requested Amount: ${amount:,.2f} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +BUDGET SUMMARY: + Total Allocated (FY2024): ${allocated:,.2f} + Spent to Date: ${spent:,.2f} + Remaining Balance: ${available:,.2f} + Budget Utilized: {percent_used:.1f}% +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +STATUS: {status} +{'✓ Sufficient funds available for this purchase.' if status == 'APPROVED' else '✗ Insufficient funds. Request budget reallocation.'} + +Approval Required: {'Manager only' if amount < 5000 else 'Director + Finance'}""" + + +@function_tool +async def get_vendor_information(vendor_name: str) -> str: + """Get information about an approved vendor. + + Args: + vendor_name: Name of the vendor + + Returns: + Vendor details and rating + """ + # Mock implementation + import random + rating = round(3.5 + random.random() * 1.5, 1) + + return f"""Vendor Profile - {vendor_name} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Status: APPROVED VENDOR ✓ +Vendor ID: VEN-{abs(hash(vendor_name)) % 10000:04d} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +RATING: {'⭐' * int(rating)} ({rating}/5.0) +Total Orders: {random.randint(50, 500)} +On-Time Delivery: {random.randint(85, 98)}% +Quality Score: {random.randint(80, 95)}/100 + +PAYMENT TERMS: + Standard Terms: Net 30 + Early Payment Discount: 2% (Net 10) + Accepted Methods: Wire, ACH, Check + +CONTACT: + Account Manager: {random.choice(['John Smith', 'Mary Johnson', 'David Chen'])} + Phone: 1-800-VENDOR-{random.randint(1, 9)} + Email: orders@{vendor_name.lower().replace(' ', '')}.com + +CONTRACT STATUS: + Master Agreement: Active + Expires: Dec 31, 2024 + Discount Tier: Gold (15% off standard)""" + + +@function_tool +async def create_purchase_order(item: str, quantity: int, unit_price: float, vendor: str, department: str, justification: str) -> str: + """Create a detailed purchase order and initiate approval workflow. + + Args: + item: Item description + quantity: Quantity to order + unit_price: Price per unit in USD + vendor: Vendor name + department: Requesting department + justification: Business justification for purchase + + Returns: + Purchase order confirmation with approval workflow details + """ + # Mock implementation + import random + po_number = f"PO-2024-{random.randint(10000, 99999)}" + total_amount = quantity * unit_price + tax = total_amount * 0.08 + shipping = 50 if total_amount < 1000 else 0 + grand_total = total_amount + tax + shipping + + approval_level = "Manager" if grand_total < 5000 else "Director" if grand_total < 25000 else "VP + Finance" + + return f"""✓ Purchase Order Created Successfully! +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +PO NUMBER: {po_number} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +VENDOR: {vendor} +Department: {department} +Requested By: Current User +Date: 2024-01-28 + +ITEMS: + Description: {item} + Quantity: {quantity} + Unit Price: ${unit_price:,.2f} + Subtotal: ${total_amount:,.2f} + +COST BREAKDOWN: + Subtotal: ${total_amount:,.2f} + Tax (8%): ${tax:,.2f} + Shipping: ${shipping:,.2f} + ━━━━━━━━━━━━━━━━━━━━━━ + GRAND TOTAL: ${grand_total:,.2f} + +JUSTIFICATION: + {justification} + +APPROVAL WORKFLOW: + Status: PENDING APPROVAL + Required Approver: {approval_level} + Expected Approval: 1-3 business days + Auto-notification sent to approvers + +NEXT STEPS: +1. Approval notification sent +2. Upon approval, PO sent to vendor +3. Track shipment with PO number +4. Goods Receipt in 7-14 business days + +Reference: {po_number}""" + + +@function_tool +async def track_order_status(po_number: str) -> str: + """Track the detailed status of a purchase order. + + Args: + po_number: Purchase order number (format: PO-2024-XXXXX) + + Returns: + Comprehensive order tracking information + """ + # Mock implementation + import random + statuses = [ + ("PENDING_APPROVAL", "Purchase order awaiting management approval", "N/A", "N/A"), + ("APPROVED", "Order approved, sent to vendor", "TRK-2024-" + str(random.randint(10000, 99999)), "5-7 business days"), + ("IN_TRANSIT", "Order shipped and in transit", "TRK-2024-" + str(random.randint(10000, 99999)), "2-3 business days"), + ("DELIVERED", "Order delivered successfully", "TRK-2024-" + str(random.randint(10000, 99999)), "Delivered on 2024-01-25"), + ] + status, description, tracking, eta = random.choice(statuses) + + return f"""Order Tracking - {po_number} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Current Status: {status} +{description} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +TIMELINE: + ✓ Order Created: 2024-01-20 10:30 AM + {'✓' if status != 'PENDING_APPROVAL' else '○'} Approved: 2024-01-21 2:15 PM + {'✓' if status in ['IN_TRANSIT', 'DELIVERED'] else '○'} Shipped: 2024-01-23 9:00 AM + {'✓' if status == 'DELIVERED' else '○'} Delivered: {eta} + +SHIPMENT DETAILS: + Carrier: FedEx Express + Tracking Number: {tracking} + Estimated Delivery: {eta} + Shipping Method: Ground + +VENDOR CONTACT: + Need to modify order? Contact vendor within 24hrs of PO creation + Vendor Support: 1-800-VENDOR-1""" + + +@function_tool +async def request_budget_reallocation(from_category: str, to_category: str, amount: float, justification: str, department: str) -> str: + """Request to move budget between categories within a department. + + Args: + from_category: Source budget category + to_category: Destination budget category + amount: Amount to reallocate in USD + justification: Business justification + department: Department name + + Returns: + Budget reallocation request confirmation + """ + # Mock implementation + import random + request_id = f"BR-2024-{random.randint(1000, 9999)}" + + return f"""Budget Reallocation Request Submitted +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Request ID: {request_id} +Department: {department} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +REALLOCATION DETAILS: + From Category: {from_category} + To Category: {to_category} + Amount: ${amount:,.2f} + +JUSTIFICATION: + {justification} + +APPROVAL WORKFLOW: + Status: PENDING REVIEW + Required Approver: Finance Director + Expected Response: 2-3 business days + Priority: Normal + +You will be notified via email once reviewed. +Track status with Request ID: {request_id}""" + + +@function_tool +async def search_preferred_vendors(category: str) -> str: + """Search for preferred vendors by product/service category. + + Args: + category: Product or service category (Electronics, Software, Office Supplies, etc.) + + Returns: + List of approved preferred vendors + """ + # Mock implementation + vendors_db = { + "Electronics": ["Dell Technologies", "HP Inc", "Lenovo", "Apple Business"], + "Software": ["Microsoft", "Adobe", "Salesforce", "Atlassian"], + "Office Supplies": ["Staples Business", "Office Depot", "Amazon Business"], + "Furniture": ["Herman Miller", "Steelcase", "IKEA Business"], + } + + vendor_list = vendors_db.get(category, ["Contact Procurement for vendor recommendations"]) + + return f"""Preferred Vendors - {category} +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Approved vendor list for company purchases: + +""" + "\n".join([f" {i+1}. {v} (Contract on file)" for i, v in enumerate(vendor_list)]) + f""" + +━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ +Benefits of using preferred vendors: + ✓ Pre-negotiated pricing (10-20% discount) + ✓ Expedited approval process + ✓ Established payment terms + ✓ Dedicated account manager + ✓ Priority support + +Need a vendor not listed? Submit vendor approval request to procurement@company.com""" diff --git a/packages/uipath-openai-agents/samples/company_agent/pyproject.toml b/packages/uipath-openai-agents/samples/company_agent/pyproject.toml new file mode 100644 index 0000000..35858a5 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/pyproject.toml @@ -0,0 +1,13 @@ +[project] +name = "openai-company-agent" +version = "0.1.3" +description = "openai-company-agent" +authors = [{ name = "Eusebiu Jecan", email = "eusebiu.jecan@uipath.com" }] +dependencies = [ + "uipath-openai-agents>=0.0.1", + "openai>=1.0.0", + "uipath-dev>=0.0.15", +] +requires-python = ">=3.11" + + diff --git a/packages/uipath-openai-agents/samples/company_agent/sample_inputs/README.md b/packages/uipath-openai-agents/samples/company_agent/sample_inputs/README.md new file mode 100644 index 0000000..39705d9 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/sample_inputs/README.md @@ -0,0 +1,155 @@ +# Sample Input Files + +This folder contains sample input JSON files for testing the Company Multi-Agent System. + +## Test Files + +### Current Company Agent System + +| File | Purpose | Agent | Description | +|------|---------|-------|-------------| +| `input_hr.json` | HR Leave Request | hr_agent | Request 5 days vacation (Feb 15-20) | +| `input_procurement.json` | Procurement Order | procurement_agent | Order 50 Dell laptops for Engineering | +| `input_policy.json` | Policy/Leave Request | hr_agent | Request 3 days vacation in March | +| `input_march_complete.json` | Complete Leave Flow | hr_agent | Full leave request (March 11-13) | + +### Legacy/Old Test Files + +| File | Purpose | Notes | +|------|---------|-------| +| `input.json` | Original test | Legacy weather query | +| `input_weather.json` | Weather test | From original weather agent | +| `input_knowledge.json` | Knowledge test | From original knowledge agent | +| `input_march_leave.json` | March leave | Alternative March request | + +--- + +## Usage + +### Run with Sample Input + +```bash +# From the basic/ directory +uv run uipath run agent --input-file sampleinputs/input_hr.json +uv run uipath run agent --input-file sampleinputs/input_procurement.json +uv run uipath run agent --input-file sampleinputs/input_policy.json +``` + +--- + +## File Contents + +### input_hr.json +```json +{ + "message": "I want to take a vacation from February 15 to February 20, 2024. Can you check if I have enough PTO days available and submit the request? My employee ID is EMP12345." +} +``` +**Tests:** HR agent → PTO balance check → Leave request submission + +--- + +### input_procurement.json +```json +{ + "message": "I need to order 50 Dell XPS laptops at $1,200 each for the Engineering department. This is for our new hire onboarding program. Can you check if we have budget in the Equipment category and create a purchase order?" +} +``` +**Tests:** Procurement agent → Budget check → Vendor info → PO creation + +--- + +### input_policy.json +```json +{ + "message": "Hi, I'm Eusebiu Jecan and I need to request 3 days off from March 11-13, 2024 for a family vacation. Can you check my PTO balance and submit the leave request?" +} +``` +**Tests:** Orchestrator routing (policy→hr) → Name resolution → PTO check → Leave request + +--- + +### input_march_complete.json +```json +{ + "message": "Hi, I'm Eusebiu Jecan and I need to submit a vacation leave request for March 11-13, 2024 (3 days). Please check my balance and submit the request for me." +} +``` +**Tests:** Complete workflow with name-based lookup and direct submission + +--- + +## Creating New Test Inputs + +Template for new test files: + +```json +{ + "message": "Your test message here" +} +``` + +### Tips: +- Include employee name for HR requests (e.g., "I'm John Smith") +- Specify dates for leave requests (format: Month DD-DD, YYYY) +- Include quantities and prices for procurement +- Mention specific policies by name (remote_work, expense, pto, etc.) + +--- + +## Expected Behaviors + +### HR Requests +1. Orchestrator routes to `hr_agent` +2. Agent checks PTO balance first +3. Validates sufficient days available +4. Submits request if approved +5. Returns Request ID for tracking + +### Procurement Requests +1. Orchestrator routes to `procurement_agent` +2. Agent checks budget availability +3. Gets vendor information if needed +4. Creates purchase order +5. Returns PO number and approval requirements + +### Policy Requests +1. Orchestrator routes to `policy_agent` +2. Agent retrieves policy details +3. Formats and presents policy +4. Offers clarification if needed + +--- + +## Test All Agents + +```bash +# Quick test all three departments +for file in input_hr.json input_procurement.json input_policy.json; do + echo "Testing $file..." + uv run uipath run agent --input-file sampleinputs/$file + echo "---" +done +``` + +--- + +## Troubleshooting + +### File Not Found Error +```bash +# Make sure you're in the basic/ directory +cd samples/basic + +# Or use absolute path +uv run uipath run agent --input-file /full/path/to/sampleinputs/input_hr.json +``` + +### Agent Not Routing Correctly +- Check that your message clearly indicates the department (HR/Procurement/Policy) +- Review orchestrator instructions in main.py +- Test with the sample files first to verify system is working + +--- + +Last Updated: 2024-01-28 diff --git a/packages/uipath-openai-agents/samples/company_agent/sample_inputs/input_hr.json b/packages/uipath-openai-agents/samples/company_agent/sample_inputs/input_hr.json new file mode 100644 index 0000000..469283e --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/sample_inputs/input_hr.json @@ -0,0 +1,3 @@ +{ + "messages": "Hi, I'd like to request time off for a vacation from July 15 to July 22, 2026. Could you check my PTO balance and submit the leave request? Thanks, Eusebiu Jecan" +} diff --git a/packages/uipath-openai-agents/samples/company_agent/sample_inputs/input_policy.json b/packages/uipath-openai-agents/samples/company_agent/sample_inputs/input_policy.json new file mode 100644 index 0000000..f41caa4 --- /dev/null +++ b/packages/uipath-openai-agents/samples/company_agent/sample_inputs/input_policy.json @@ -0,0 +1,3 @@ +{ + "messages": "What is the company's remote work policy? 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