Update claude-api skill with Managed Agents guidance (#891)

* Update claude-api skill with Managed Agents guidance

* Replace OPUS_ID placeholder with concrete model string in claude-api skill

* Replace remaining model placeholders with concrete model names and IDs
This commit is contained in:
Eric Harmeling
2026-04-08 13:01:02 -04:00
committed by GitHub
parent 98669c11ca
commit ca1e7dc13c
24 changed files with 4754 additions and 1317 deletions
@@ -1,355 +0,0 @@
# Agent SDK — Python
The Claude Agent SDK provides a higher-level interface for building AI agents with built-in tools, safety features, and agentic capabilities.
## Installation
```bash
pip install claude-agent-sdk
```
---
## Quick Start
```python
import anyio
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
async def main():
async for message in query(
prompt="Explain this codebase",
options=ClaudeAgentOptions(allowed_tools=["Read", "Glob", "Grep"])
):
if isinstance(message, ResultMessage):
print(message.result)
anyio.run(main)
```
---
## Built-in Tools
| Tool | Description |
| --------- | ------------------------------------ |
| Read | Read files in the workspace |
| Write | Create new files |
| Edit | Make precise edits to existing files |
| Bash | Execute shell commands |
| Glob | Find files by pattern |
| Grep | Search files by content |
| WebSearch | Search the web for information |
| WebFetch | Fetch and analyze web pages |
| AskUserQuestion | Ask user clarifying questions |
| Agent | Spawn subagents |
---
## Primary Interfaces
### `query()` — Simple One-Shot Usage
The `query()` function is the simplest way to run an agent. It returns an async iterator of messages.
```python
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
async for message in query(
prompt="Explain this codebase",
options=ClaudeAgentOptions(allowed_tools=["Read", "Glob", "Grep"])
):
if isinstance(message, ResultMessage):
print(message.result)
```
### `ClaudeSDKClient` — Full Control
`ClaudeSDKClient` provides full control over the agent lifecycle. Use it when you need custom tools, hooks, streaming, or the ability to interrupt execution.
```python
import anyio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock
async def main():
options = ClaudeAgentOptions(allowed_tools=["Read", "Glob", "Grep"])
async with ClaudeSDKClient(options=options) as client:
await client.query("Explain this codebase")
async for message in client.receive_response():
if isinstance(message, AssistantMessage):
for block in message.content:
if isinstance(block, TextBlock):
print(block.text)
anyio.run(main)
```
`ClaudeSDKClient` supports:
- **Context manager** (`async with`) for automatic resource cleanup
- **`client.query(prompt)`** to send a prompt to the agent
- **`receive_response()`** for streaming messages until completion
- **`interrupt()`** to stop agent execution mid-task
- **Required for custom tools** (via SDK MCP servers)
---
## Permission System
```python
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
async for message in query(
prompt="Refactor the authentication module",
options=ClaudeAgentOptions(
allowed_tools=["Read", "Edit", "Write"],
permission_mode="acceptEdits" # Auto-accept file edits
)
):
if isinstance(message, ResultMessage):
print(message.result)
```
Permission modes:
- `"default"`: Prompt for dangerous operations
- `"plan"`: Planning only, no execution
- `"acceptEdits"`: Auto-accept file edits
- `"bypassPermissions"`: Skip all prompts (use with caution)
---
## MCP (Model Context Protocol) Support
```python
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
async for message in query(
prompt="Open example.com and describe what you see",
options=ClaudeAgentOptions(
mcp_servers={
"playwright": {"command": "npx", "args": ["@playwright/mcp@latest"]}
}
)
):
if isinstance(message, ResultMessage):
print(message.result)
```
---
## Hooks
Customize agent behavior with hooks using callback functions:
```python
from claude_agent_sdk import query, ClaudeAgentOptions, HookMatcher, ResultMessage
async def log_file_change(input_data, tool_use_id, context):
file_path = input_data.get('tool_input', {}).get('file_path', 'unknown')
print(f"Modified: {file_path}")
return {}
async for message in query(
prompt="Refactor utils.py",
options=ClaudeAgentOptions(
permission_mode="acceptEdits",
hooks={
"PostToolUse": [HookMatcher(matcher="Edit|Write", hooks=[log_file_change])]
}
)
):
if isinstance(message, ResultMessage):
print(message.result)
```
Hook callback inputs for tool-lifecycle events (`PreToolUse`, `PostToolUse`, `PostToolUseFailure`) include `agent_id` and `agent_type` fields, allowing hooks to identify which agent (main or subagent) triggered the tool call.
Available hook events: `PreToolUse`, `PostToolUse`, `PostToolUseFailure`, `UserPromptSubmit`, `Stop`, `SubagentStop`, `PreCompact`, `Notification`, `SubagentStart`, `PermissionRequest`
---
## Common Options
`query()` takes a top-level `prompt` (string) and an `options` object (`ClaudeAgentOptions`):
```python
async for message in query(prompt="...", options=ClaudeAgentOptions(...)):
```
| Option | Type | Description |
| ----------------------------------- | ------ | -------------------------------------------------------------------------- |
| `cwd` | string | Working directory for file operations |
| `allowed_tools` | list | Tools the agent can use (e.g., `["Read", "Edit", "Bash"]`) |
| `tools` | list | Built-in tools to make available (restricts the default set) |
| `disallowed_tools` | list | Tools to explicitly disallow |
| `permission_mode` | string | How to handle permission prompts |
| `mcp_servers` | dict | MCP servers to connect to |
| `hooks` | dict | Hooks for customizing behavior |
| `system_prompt` | string | Custom system prompt |
| `max_turns` | int | Maximum agent turns before stopping |
| `max_budget_usd` | float | Maximum budget in USD for the query |
| `model` | string | Model ID (default: determined by CLI) |
| `agents` | dict | Subagent definitions (`dict[str, AgentDefinition]`) |
| `output_format` | dict | Structured output schema |
| `thinking` | dict | Thinking/reasoning control |
| `betas` | list | Beta features to enable (e.g., `["context-1m-2025-08-07"]`) |
| `setting_sources` | list | Settings to load (e.g., `["project"]`). Default: none (no CLAUDE.md files) |
| `env` | dict | Environment variables to set for the session |
---
## Message Types
```python
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage, SystemMessage
async for message in query(
prompt="Find TODO comments",
options=ClaudeAgentOptions(allowed_tools=["Read", "Glob", "Grep"])
):
if isinstance(message, ResultMessage):
print(message.result)
print(f"Stop reason: {message.stop_reason}") # e.g., "end_turn", "max_turns"
elif isinstance(message, SystemMessage) and message.subtype == "init":
session_id = message.data.get("session_id") # Capture for resuming later
```
`AssistantMessage` includes per-turn `usage` data (a dict matching the Anthropic API usage shape) for tracking costs:
```python
from claude_agent_sdk import query, ClaudeAgentOptions, AssistantMessage
async for message in query(prompt="...", options=ClaudeAgentOptions()):
if isinstance(message, AssistantMessage) and message.usage:
print(f"Input: {message.usage['input_tokens']}, Output: {message.usage['output_tokens']}")
```
Typed task message subclasses are available for better type safety when handling subagent task events:
- `TaskStartedMessage` — emitted when a subagent task is registered
- `TaskProgressMessage` — real-time progress updates with cumulative usage metrics
- `TaskNotificationMessage` — task completion notifications
`RateLimitEvent` is emitted when the rate limit status transitions (e.g., from `allowed` to `allowed_warning` or `rejected`). Use it to warn users or back off gracefully:
```python
from claude_agent_sdk import query, ClaudeAgentOptions, RateLimitEvent
async for message in query(prompt="...", options=ClaudeAgentOptions()):
if isinstance(message, RateLimitEvent):
print(f"Rate limit status: {message.rate_limit_info.status}")
if message.rate_limit_info.resets_at:
print(f"Resets at: {message.rate_limit_info.resets_at}")
```
---
## Subagents
```python
from claude_agent_sdk import query, ClaudeAgentOptions, AgentDefinition, ResultMessage
async for message in query(
prompt="Use the code-reviewer agent to review this codebase",
options=ClaudeAgentOptions(
allowed_tools=["Read", "Glob", "Grep", "Agent"],
agents={
"code-reviewer": AgentDefinition(
description="Expert code reviewer for quality and security reviews.",
prompt="Analyze code quality and suggest improvements.",
tools=["Read", "Glob", "Grep"]
)
}
)
):
if isinstance(message, ResultMessage):
print(message.result)
```
---
## Error Handling
```python
from claude_agent_sdk import query, ClaudeAgentOptions, CLINotFoundError, CLIConnectionError, ResultMessage
try:
async for message in query(
prompt="...",
options=ClaudeAgentOptions(allowed_tools=["Read"])
):
if isinstance(message, ResultMessage):
print(message.result)
except CLINotFoundError:
print("Claude Code CLI not found. Install with: pip install claude-agent-sdk")
except CLIConnectionError as e:
print(f"Connection error: {e}")
```
---
## Session History
Retrieve past session data with top-level functions:
```python
from claude_agent_sdk import list_sessions, get_session_messages
# List all past sessions (sync function — no await)
sessions = list_sessions()
for session in sessions:
print(f"{session.session_id}: {session.cwd}")
# Get messages from a specific session (sync function — no await)
messages = get_session_messages(session_id="...")
for msg in messages:
print(msg)
```
### Session Mutations
Rename or tag sessions (sync functions — no await):
```python
from claude_agent_sdk import rename_session, tag_session
# Rename a session
rename_session(session_id="...", title="My refactoring session")
# Tag a session (tags are Unicode-sanitized automatically)
tag_session(session_id="...", tag="experiment")
# Clear a tag
tag_session(session_id="...", tag=None)
# Optionally scope to a specific project directory
rename_session(session_id="...", title="New title", directory="/path/to/project")
```
---
## MCP Server Management
Manage MCP servers at runtime using `ClaudeSDKClient`:
```python
async with ClaudeSDKClient(options=options) as client:
# Reconnect a disconnected MCP server
await client.reconnect_mcp_server("my-server")
# Toggle an MCP server on/off
await client.toggle_mcp_server("my-server", enabled=False)
# Get status of all MCP servers
status = await client.get_mcp_status() # returns McpStatusResponse
```
---
## Best Practices
1. **Always specify allowed_tools** — Explicitly list which tools the agent can use
2. **Set working directory** — Always specify `cwd` for file operations
3. **Use appropriate permission modes** — Start with `"default"` and only escalate when needed
4. **Handle all message types** — Check for `ResultMessage` to get agent output
5. **Limit max_turns** — Prevent runaway agents with reasonable limits
@@ -1,359 +0,0 @@
# Agent SDK Patterns — Python
## Basic Agent
```python
import anyio
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
async def main():
async for message in query(
prompt="Explain what this repository does",
options=ClaudeAgentOptions(
cwd="/path/to/project",
allowed_tools=["Read", "Glob", "Grep"]
)
):
if isinstance(message, ResultMessage):
print(message.result)
anyio.run(main)
```
---
## Custom Tools
Custom tools require an MCP server. Use `ClaudeSDKClient` for full control (custom SDK MCP tools require `ClaudeSDKClient``query()` only supports external stdio/http MCP servers).
```python
import anyio
from claude_agent_sdk import (
tool,
create_sdk_mcp_server,
ClaudeSDKClient,
ClaudeAgentOptions,
AssistantMessage,
TextBlock,
)
@tool("get_weather", "Get the current weather for a location", {"location": str})
async def get_weather(args):
location = args["location"]
return {"content": [{"type": "text", "text": f"The weather in {location} is sunny and 72°F."}]}
server = create_sdk_mcp_server("weather-tools", tools=[get_weather])
async def main():
options = ClaudeAgentOptions(mcp_servers={"weather": server})
async with ClaudeSDKClient(options=options) as client:
await client.query("What's the weather in Paris?")
async for message in client.receive_response():
if isinstance(message, AssistantMessage):
for block in message.content:
if isinstance(block, TextBlock):
print(block.text)
anyio.run(main)
```
---
## Hooks
### After Tool Use Hook
Log file changes after any edit:
```python
import anyio
from datetime import datetime
from claude_agent_sdk import query, ClaudeAgentOptions, HookMatcher, ResultMessage
async def log_file_change(input_data, tool_use_id, context):
file_path = input_data.get('tool_input', {}).get('file_path', 'unknown')
with open('./audit.log', 'a') as f:
f.write(f"{datetime.now()}: modified {file_path}\n")
return {}
async def main():
async for message in query(
prompt="Refactor utils.py to improve readability",
options=ClaudeAgentOptions(
allowed_tools=["Read", "Edit", "Write"],
permission_mode="acceptEdits",
hooks={
"PostToolUse": [HookMatcher(matcher="Edit|Write", hooks=[log_file_change])]
}
)
):
if isinstance(message, ResultMessage):
print(message.result)
anyio.run(main)
```
---
## Subagents
```python
import anyio
from claude_agent_sdk import query, ClaudeAgentOptions, AgentDefinition, ResultMessage
async def main():
async for message in query(
prompt="Use the code-reviewer agent to review this codebase",
options=ClaudeAgentOptions(
allowed_tools=["Read", "Glob", "Grep", "Agent"],
agents={
"code-reviewer": AgentDefinition(
description="Expert code reviewer for quality and security reviews.",
prompt="Analyze code quality and suggest improvements.",
tools=["Read", "Glob", "Grep"]
)
}
)
):
if isinstance(message, ResultMessage):
print(message.result)
anyio.run(main)
```
---
## MCP Server Integration
### Browser Automation (Playwright)
```python
import anyio
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
async def main():
async for message in query(
prompt="Open example.com and describe what you see",
options=ClaudeAgentOptions(
mcp_servers={
"playwright": {"command": "npx", "args": ["@playwright/mcp@latest"]}
}
)
):
if isinstance(message, ResultMessage):
print(message.result)
anyio.run(main)
```
### Database Access (PostgreSQL)
```python
import os
import anyio
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
async def main():
async for message in query(
prompt="Show me the top 10 users by order count",
options=ClaudeAgentOptions(
mcp_servers={
"postgres": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-postgres"],
"env": {"DATABASE_URL": os.environ["DATABASE_URL"]}
}
}
)
):
if isinstance(message, ResultMessage):
print(message.result)
anyio.run(main)
```
---
## Permission Modes
```python
import anyio
from claude_agent_sdk import query, ClaudeAgentOptions
async def main():
# Default: prompt for dangerous operations
async for message in query(
prompt="Delete all test files",
options=ClaudeAgentOptions(
allowed_tools=["Bash"],
permission_mode="default" # Will prompt before deleting
)
):
pass
# Plan: agent creates a plan before making changes
async for message in query(
prompt="Refactor the auth system",
options=ClaudeAgentOptions(
allowed_tools=["Read", "Edit"],
permission_mode="plan"
)
):
pass
# Accept edits: auto-accept file edits
async for message in query(
prompt="Refactor this module",
options=ClaudeAgentOptions(
allowed_tools=["Read", "Edit"],
permission_mode="acceptEdits"
)
):
pass
# Bypass: skip all prompts (use with caution)
async for message in query(
prompt="Set up the development environment",
options=ClaudeAgentOptions(
allowed_tools=["Bash", "Write"],
permission_mode="bypassPermissions"
)
):
pass
anyio.run(main)
```
---
## Error Recovery
```python
import anyio
from claude_agent_sdk import (
query,
ClaudeAgentOptions,
CLINotFoundError,
CLIConnectionError,
ProcessError,
ResultMessage,
)
async def run_with_recovery():
try:
async for message in query(
prompt="Fix the failing tests",
options=ClaudeAgentOptions(
allowed_tools=["Read", "Edit", "Bash"],
max_turns=10
)
):
if isinstance(message, ResultMessage):
print(message.result)
except CLINotFoundError:
print("Claude Code CLI not found. Install with: pip install claude-agent-sdk")
except CLIConnectionError as e:
print(f"Connection error: {e}")
except ProcessError as e:
print(f"Process error: {e}")
anyio.run(run_with_recovery)
```
---
## Session Resumption
```python
import anyio
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage, SystemMessage
async def main():
session_id = None
# First query: capture the session ID
async for message in query(
prompt="Read the authentication module",
options=ClaudeAgentOptions(allowed_tools=["Read", "Glob"])
):
if isinstance(message, SystemMessage) and message.subtype == "init":
session_id = message.data.get("session_id")
# Resume with full context from the first query
async for message in query(
prompt="Now find all places that call it", # "it" = auth module
options=ClaudeAgentOptions(resume=session_id)
):
if isinstance(message, ResultMessage):
print(message.result)
anyio.run(main)
```
---
## Session History
```python
from claude_agent_sdk import list_sessions, get_session_messages
# List past sessions (sync function — no await)
sessions = list_sessions()
for session in sessions:
print(f"Session {session.session_id} in {session.cwd}")
# Retrieve messages from the most recent session (sync function — no await)
if sessions:
messages = get_session_messages(session_id=sessions[0].session_id)
for msg in messages:
print(msg)
```
---
## Session Mutations
```python
from claude_agent_sdk import rename_session, tag_session
session_id = "your-session-id"
# Rename a session
rename_session(session_id=session_id, title="Refactoring auth module")
# Tag a session for filtering
tag_session(session_id=session_id, tag="experiment-v2")
# Clear a tag
tag_session(session_id=session_id, tag=None)
# Scope to a specific project directory
rename_session(session_id=session_id, title="New title", directory="/path/to/project")
```
---
## Custom System Prompt
```python
import anyio
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
async def main():
async for message in query(
prompt="Review this code",
options=ClaudeAgentOptions(
allowed_tools=["Read", "Glob", "Grep"],
system_prompt="""You are a senior code reviewer focused on:
1. Security vulnerabilities
2. Performance issues
3. Code maintainability
Always provide specific line numbers and suggestions for improvement."""
)
):
if isinstance(message, ResultMessage):
print(message.result)
anyio.run(main)
```
@@ -0,0 +1,329 @@
# Managed Agents — Python
> **Bindings not shown here:** This README covers the most common managed-agents flows for Python. If you need a class, method, namespace, field, or behavior that isn't shown, WebFetch the Python SDK repo **or the relevant docs page** from `shared/live-sources.md` rather than guess. Do not extrapolate from cURL shapes or another language's SDK.
> **Agents are persistent — create once, reference by ID.** Store the agent ID returned by `agents.create` and pass it to every subsequent `sessions.create`; do not call `agents.create` in the request path. The Anthropic CLI is one convenient way to create agents and environments from version-controlled YAML — its URL is in `shared/live-sources.md`. The examples below show in-code creation for completeness; in production the create call belongs in setup, not in the request path.
## Installation
```bash
pip install anthropic
```
## Client Initialization
```python
import anthropic
# Default (uses ANTHROPIC_API_KEY env var)
client = anthropic.Anthropic()
# Explicit API key
client = anthropic.Anthropic(api_key="your-api-key")
```
---
## Create an Environment
```python
environment = client.beta.environments.create(
name="my-dev-env",
config={
"type": "cloud",
"networking": {"type": "unrestricted"},
},
)
print(environment.id) # env_...
```
---
## Create an Agent (required first step)
> ⚠️ **There is no inline agent config.** `model`/`system`/`tools` live on the agent object, not the session. Always start with `agents.create()` — the session only takes `agent={"type": "agent", "id": agent.id}`.
### Minimal
```python
# 1. Create the agent (reusable, versioned)
agent = client.beta.agents.create(
name="Coding Assistant",
model="claude-opus-4-6",
tools=[{"type": "agent_toolset_20260401", "default_config": {"enabled": True}}],
)
# 2. Start a session
session = client.beta.sessions.create(
agent={"type": "agent", "id": agent.id, "version": agent.version},
environment_id=environment.id,
)
print(session.id, session.status)
```
### With system prompt and custom tools
```python
import os
agent = client.beta.agents.create(
name="Code Reviewer",
model="claude-opus-4-6",
system="You are a senior code reviewer.",
tools=[
{"type": "agent_toolset_20260401"},
{
"type": "custom",
"name": "run_tests",
"description": "Run the test suite",
"input_schema": {
"type": "object",
"properties": {
"test_path": {"type": "string", "description": "Path to test file"}
},
"required": ["test_path"],
},
},
],
)
session = client.beta.sessions.create(
agent={"type": "agent", "id": agent.id, "version": agent.version},
environment_id=environment.id,
title="Code review session",
resources=[
{
"type": "github_repository",
"url": "https://github.com/owner/repo",
"mount_path": "/workspace/repo",
"authorization_token": os.environ["GITHUB_TOKEN"],
"branch": "main",
}
],
)
```
---
## Send a User Message
```python
client.beta.sessions.events.send(
session_id=session.id,
events=[
{
"type": "user.message",
"content": [{"type": "text", "text": "Review the auth module"}],
}
],
)
```
> 💡 **Stream-first:** Open the stream *before* (or concurrently with) sending the message. The stream only delivers events that occur after it opens — stream-after-send means early events arrive buffered in one batch. See [Steering Patterns](../../shared/managed-agents-events.md#steering-patterns).
---
## Stream Events (SSE)
```python
import json
# Stream-first: open stream, then send while stream is live
with client.beta.sessions.stream(
session_id=session.id,
) as stream:
client.beta.sessions.events.send(
session_id=session.id,
events=[{"type": "user.message", "content": [{"type": "text", "text": "..."}]}],
)
for event in stream:
... # process events
# Standalone stream iteration:
with client.beta.sessions.stream(
session_id=session.id,
) as stream:
for event in stream:
if event.type == "agent.message":
for block in event.content:
if block.type == "text":
print(block.text, end="", flush=True)
elif event.type == "agent.custom_tool_use":
# Custom tool invocation — session is now idle
print(f"\nCustom tool call: {event.tool_name}")
print(f"Input: {json.dumps(event.input)}")
# Send result back (see below)
elif event.type == "session.status_idle":
print("\n--- Agent idle ---")
elif event.type == "session.status_terminated":
print("\n--- Session terminated ---")
break
```
---
## Provide Custom Tool Result
```python
client.beta.sessions.events.send(
session_id=session.id,
events=[
{
"type": "user.custom_tool_result",
"custom_tool_use_id": "sevt_abc123",
"content": [{"type": "text", "text": "All 42 tests passed."}],
}
],
)
```
---
## Poll Events
```python
events = client.beta.sessions.events.list(
session_id=session.id,
)
for event in events.data:
print(f"{event.type}: {event.id}")
```
> ⚠️ **Prefer the SDK over raw `requests`/`httpx`.** If you hand-roll a poll loop, don't assume `timeout=(5, 60)` or `httpx.Timeout(120)` caps total call duration — both are **per-chunk** read timeouts (reset on every byte), so a trickling response can block forever. For a hard wall-clock deadline, track `time.monotonic()` at the loop level and bail explicitly, or wrap with `asyncio.wait_for()`. See [Receiving Events](../../shared/managed-agents-events.md#receiving-events).
---
## Full Streaming Loop with Custom Tools
```python
import json
def run_custom_tool(tool_name: str, tool_input: dict) -> str:
"""Execute a custom tool and return the result."""
if tool_name == "run_tests":
# Your tool implementation here
return "All tests passed."
return f"Unknown tool: {tool_name}"
def run_session(client, session_id: str):
"""Stream events and handle custom tool calls."""
while True:
with client.beta.sessions.stream(
session_id=session_id,
) as stream:
tool_calls = []
for event in stream:
if event.type == "agent.message":
for block in event.content:
if block.type == "text":
print(block.text, end="", flush=True)
elif event.type == "agent.custom_tool_use":
tool_calls.append(event)
elif event.type == "session.status_idle":
break
elif event.type == "session.status_terminated":
return
if not tool_calls:
break
# Process custom tool calls
results = []
for call in tool_calls:
result = run_custom_tool(call.tool_name, call.input)
results.append({
"type": "user.custom_tool_result",
"custom_tool_use_id": call.id,
"content": [{"type": "text", "text": result}],
})
client.beta.sessions.events.send(
session_id=session_id,
events=results,
)
```
---
## Upload a File
```python
with open("data.csv", "rb") as f:
file = client.beta.files.upload(
file=f,
)
# Use in a session
session = client.beta.sessions.create(
agent={"type": "agent", "id": agent.id, "version": agent.version},
environment_id=environment.id,
resources=[{"type": "file", "file_id": file.id, "mount_path": "/workspace/data.csv"}],
)
```
---
## List and Download Session Files
List files the agent wrote to `/mnt/session/outputs/` during a session, then download them.
```python
# List files associated with a session
files = client.beta.files.list(session_id=session.id)
for f in files.data:
print(f.filename, f.size_bytes)
# Download each file and save to disk
file_content = client.beta.files.download(f.id)
file_content.write_to_file(f.filename)
```
> 💡 There's a brief indexing lag (~13s) between `session.status_idle` and output files appearing in `files.list` (with `scope=session_id` as a query param). Retry once or twice if the list is empty.
---
## Session Management
```python
# Get session details
session = client.beta.sessions.retrieve(session_id="sess_abc123")
print(session.status, session.usage)
# List sessions
sessions = client.beta.sessions.list()
# Delete a session
client.beta.sessions.delete(session_id="sess_abc123")
# Archive a session
client.beta.sessions.archive(session_id="sess_abc123")
```
---
## MCP Server Integration
```python
# Agent declares MCP server (no auth here — auth goes in a vault)
agent = client.beta.agents.create(
name="MCP Agent",
model="claude-opus-4-6",
mcp_servers=[
{"type": "url", "name": "my-tools", "url": "https://my-mcp-server.example.com/sse"},
],
tools=[
{"type": "agent_toolset_20260401", "default_config": {"enabled": True}},
{"type": "mcp_toolset", "mcp_server_name": "my-tools"},
],
)
# Session attaches vault(s) containing credentials for those MCP server URLs
session = client.beta.sessions.create(
agent=agent.id,
environment_id=environment.id,
vault_ids=[vault.id],
)
```
See `shared/managed-agents-tools.md` §Vaults for creating vaults and adding credentials.