tandem-client 0.4.15

Python client for the Tandem autonomous agent engine HTTP + SSE API

tandem-client

Python client for the Tandem autonomous agent engine HTTP + SSE API.

Install

pip install tandem-client

Python 3.10+ required.

Quick start

import asyncio
from tandem_client import TandemClient

async def main():
    async with TandemClient(
        base_url="http://localhost:39731",
        token="your-engine-token",     # from `tandem-engine token generate`
    ) as client:
        # 1. Create a session
        session_id = await client.sessions.create(
            title="My agent",
            directory="/path/to/my/project",
        )

        # 2. Start an async run
        run = await client.sessions.prompt_async(
            session_id, "Summarize the README and list the top 3 TODOs"
        )

        # 3. Stream the response
        async for event in client.stream(session_id, run.run_id):
            if event.type == "session.response":
                print(event.properties.get("delta", ""), end="", flush=True)
            if event.type in ("run.complete", "run.completed", "run.failed", "session.run.finished"):
                break

asyncio.run(main())

Sync usage (scripts)

from tandem_client import SyncTandemClient

client = SyncTandemClient(base_url="http://localhost:39731", token="...")
session_id = client.sessions.create(title="My agent")
run = client.sessions.prompt_async(session_id, "Analyze this folder")
print(f"Run started: {run.run_id}")
# Note: stream() is async-only; use the async client to receive events
client.close()

API

TandemClient(base_url, token, *, timeout=20.0)

Use as an async context manager or call await client.aclose() manually.

Method	Description
await client.health()	Check engine readiness
client.stream(session_id, run_id?)	Async generator of EngineEvent
client.global_stream()	Stream all engine events
await client.list_tool_ids()	List all registered tool IDs
await client.list_tools()	List tool schemas
await client.execute_tool(...)	Execute a specific engine tool

---

client.sessions

Method	Description
create(title?, directory?, provider?, model?)	Create session, returns session_id
list(q?, page?, page_size?, archived?, scope?, workspace?)	List sessions
get(session_id)	Get session details
delete(session_id)	Delete a session
messages(session_id)	Get message history
active_run(session_id)	Get active run state
prompt_async(session_id, prompt)	Start async run, returns PromptAsyncResult(run_id)
prompt_async_parts(session_id, parts)	Start async run with text/file parts

Prompt with file attachments:

run = await client.sessions.prompt_async_parts(
    session_id,
    [
        {
            "type": "file",
            "mime": "image/png",
            "filename": "diagram.png",
            "url": "/srv/tandem/channel_uploads/telegram/667596788/diagram.png",
        },
        {"type": "text", "text": "Explain this diagram."},
    ],
)

Prompt with browser tools enabled for QA:

run = await client.sessions.prompt_async(
    session_id,
    "Run QA on the target web app. Capture screenshots for failures.",
    tool_mode="required",
    tool_allowlist=[
        "browser_status",
        "browser_open",
        "browser_navigate",
        "browser_snapshot",
        "browser_click",
        "browser_type",
        "browser_press",
        "browser_wait",
        "browser_extract",
        "browser_screenshot",
        "browser_close",
    ],
)

Browser automation via tools

The SDK exposes two different browser paths:

• client.browser for readiness, install, and smoke-test flows
• client.execute_tool(...) or session runs for actual browser automation

The browser namespace does not currently wrap open, click, type, extract, or screenshot. Those actions are exposed as standard engine tools.

status = await client.execute_tool("browser_status", {})

opened = await client.execute_tool("browser_open", {
    "url": "https://example.com",
})
session_id = opened.output["session_id"]

snapshot = await client.execute_tool("browser_snapshot", {
    "session_id": session_id,
    "include_screenshot": True,
})

html = await client.execute_tool("browser_extract", {
    "session_id": session_id,
    "format": "html",
})

await client.execute_tool("browser_close", {
    "session_id": session_id,
})

Use this pattern for agents that need to open pages, click elements, enter text, wait for content, extract page HTML or text, and capture screenshots through the engine.

client.routines

Method	Description
list(family?)	List routines or automations
create(options, family?)	Create a scheduled routine
delete(routine_id, family?)	Delete a routine
run_now(routine_id, family?)	Trigger a routine immediately
list_runs(family?, limit?)	List recent run records
list_artifacts(run_id, family?)	List run artifacts

Create a cron routine:

await client.routines.create({
    "name": "Daily digest",
    "schedule": "0 8 * * *",
    "prompt": "Summarize today's activity and write a report to daily-digest.md",
    "allowed_tools": ["read", "write", "websearch"],
})

client.automations_v2

automation = await client.automations_v2.create({
    "name": "Daily Marketing Engine",
    "status": "active",
    "schedule": {
        "type": "interval",
        "interval_seconds": 86400,
        "timezone": "UTC",
        "misfire_policy": "run_once",
    },
    "agents": [
        {
            "agent_id": "research",
            "display_name": "Research",
            "model_policy": {
                "default_model": {
                    "provider_id": "openrouter",
                    "model_id": "openai/gpt-4o-mini",
                }
            },
            "tool_policy": {"allowlist": ["read", "websearch"], "denylist": []},
            "mcp_policy": {"allowed_servers": []},
        }
    ],
    "flow": {
        "nodes": [
            {"node_id": "market-scan", "agent_id": "research", "objective": "Find 3 trend signals."}
        ]
    },
})
run = await client.automations_v2.run_now(automation.automation_id or "")

client.workflow_plans

preview = await client.workflow_plans.preview(
    prompt="Create a release checklist automation",
    plan_source="chat",
)

started = await client.workflow_plans.chat_start(
    prompt="Create a release checklist automation",
)

updated = await client.workflow_plans.chat_message(
    plan_id=started.plan.plan_id or "",
    message="Add a smoke-test step before rollout.",
)

applied = await client.workflow_plans.apply(
    plan_id=updated.plan.plan_id,
    creator_id="operator-1",
)

Additional namespaces

The Python SDK already includes the newer engine surfaces that have landed across the repo:

• client.browser for status(), install(), and smoke_test()
• client.workflows for workflow registry, runs, hooks, simulation, and live events
• client.resources for key-value resources
• client.skills for list/get/import plus preview, templates, validation, routing, evals, compile, and generate flows
• client.packs and client.capabilities for pack lifecycle and capability resolution
• client.automations_v2, client.bug_monitor, client.coder, client.agent_teams, and client.missions for newer orchestration APIs

browser = await client.browser.status()
workflows = await client.workflows.list()
resources = await client.resources.list(prefix="agent-config/")
templates = await client.skills.templates()

client.coder

client.coder also includes project-scoped GitHub Project intake helpers:

await client.coder.put_project_binding("repo-123", {
    "github_project_binding": {
        "owner": "acme-inc",
        "project_number": 7,
        "repo_slug": "acme-inc/tandem",
    }
})

inbox = await client.coder.get_project_github_inbox("repo-123")
intake = await client.coder.intake_project_item("repo-123", {
    "project_item_id": inbox.items[0].project_item_id,
    "source_client": "sdk_test",
})

client.agent_teams template management

await client.agent_teams.create_template({"templateID": "marketing-writer", "role": "worker"})
await client.agent_teams.update_template("marketing-writer", {"system_prompt": "Write concise copy."})
await client.agent_teams.delete_template("marketing-writer")

client.mcp

await client.mcp.add("arcade", "https://mcp.arcade.ai/mcp")
await client.mcp.connect("arcade")
tools = await client.mcp.list_tools()

Method	Description
list()	List registered MCP servers
list_tools()	List discovered tools
add(name, transport, *, headers?, enabled?)	Register an MCP server
connect(name)	Connect and discover tools
disconnect(name)	Disconnect
refresh(name)	Re-discover tools
set_enabled(name, enabled)	Enable/disable

client.channels

await client.channels.put("discord", {
    "bot_token": "bot:xxx",
    "guild_id": "1234567890",
    "security_profile": "public_demo",
})
status = await client.channels.status()
config = await client.channels.config()
prefs = await client.channels.tool_preferences("discord")
await client.channels.set_tool_preferences("discord", {"disabled_tools": ["webfetch_html"]})
verification = await client.channels.verify("discord")
print(status.discord.connected)
print(config.discord.security_profile)
print(prefs.enabled_tools)
print(verification.ok)

client.packs

packs = await client.packs.list()
detected = await client.packs.detect(path="/tmp/my-pack.zip")
if detected.get("is_pack"):
    await client.packs.install(path="/tmp/my-pack.zip", source={"kind": "local"})

client.capabilities

bindings = await client.capabilities.get_bindings()
discovery = await client.capabilities.discovery()
resolution = await client.capabilities.resolve(
    {
        "workflow_id": "wf-pr",
        "required_capabilities": ["github.create_pull_request"],
    }
)

client.permissions

snapshot = await client.permissions.list()
for req in snapshot.requests:
    await client.permissions.reply(req.id, "allow")

client.memory

# Put (SDK accepts `text`; server persists global `content`)
await client.memory.put(
    "Use WAL mode for sqlite in long-lived services.",
    run_id="run-123",
)

# Search
result = await client.memory.search("sqlite wal", limit=5)

# List by user scope
listing = await client.memory.list(user_id="user-123", q="sqlite")

# Audit
audit = await client.memory.audit(run_id="run-123")

# Promote / demote / delete
await client.memory.promote(listing.items[0].id)
await client.memory.demote(listing.items[0].id, run_id="run-123")
await client.memory.delete(listing.items[0].id)

client.providers

catalog = await client.providers.catalog()
await client.providers.set_defaults("openrouter", "anthropic/claude-3.7-sonnet")
await client.providers.set_api_key("openrouter", "sk-or-...")

---

Common event types

event.type	Description
session.response	Text delta in event.properties["delta"]
session.tool_call	Tool invocation
session.tool_result	Tool result
run.complete	Run finished successfully (legacy event name)
run.completed	Run finished successfully
run.failed	Run failed
session.run.finished	Session-scoped terminal run event
permission.request	Approval needed
memory.write.succeeded	Memory write persisted
memory.search.performed	Memory retrieval telemetry
memory.context.injected	Prompt context injection telemetry

License

MIT