Skip to main content

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

Project description

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="planner_page",
)

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

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",
)

import_preview = await client.workflow_plans.import_preview(
    bundle=applied.plan_package_bundle,
)

imported = await client.workflow_plans.import_plan(
    bundle=import_preview.bundle or applied.plan_package_bundle,
)

Planner page workflow

The Planner page uses the same workflow_plans surface and keeps the plan bundle as the portable artifact. A minimal end-to-end flow looks like this:

started = await client.workflow_plans.chat_start(
    prompt="Plan a release workflow with approval and handoff",
    plan_source="intent_planner_page",
    workspace_root="/workspace/repos/tandem",
)

revised = await client.workflow_plans.chat_message(
    plan_id=started.plan.plan_id or "",
    message="Split the work into review, validate, and publish phases.",
)

applied = await client.workflow_plans.apply(
    plan_id=revised.plan.plan_id or "",
    creator_id="planner-operator",
)

preview_import = await client.workflow_plans.import_preview(
    bundle=applied.plan_package_bundle,
)

if preview_import.import_validation.get("compatible"):
    await client.workflow_plans.import_plan(
        bundle=preview_import.bundle or applied.plan_package_bundle,
    )

Use this flow when you want the same governed bundle the control-panel Planner page hands to Automations, Coding, and Orchestrator.

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tandem_client-0.4.25.tar.gz (29.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tandem_client-0.4.25-py3-none-any.whl (28.9 kB view details)

Uploaded Python 3

File details

Details for the file tandem_client-0.4.25.tar.gz.

File metadata

  • Download URL: tandem_client-0.4.25.tar.gz
  • Upload date:
  • Size: 29.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for tandem_client-0.4.25.tar.gz
Algorithm Hash digest
SHA256 1e80416b1ee9760a503e9e0673a28248d7726545a8174794615885e04b95afde
MD5 61837e5de369e8dd0d7b17f217527914
BLAKE2b-256 7ec8a1e42c052885be08ac7ab0560baf1d015bcc5cf4fdc5197c8038ae6aa89c

See more details on using hashes here.

Provenance

The following attestation bundles were made for tandem_client-0.4.25.tar.gz:

Publisher: publish-registries.yml on frumu-ai/tandem

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file tandem_client-0.4.25-py3-none-any.whl.

File metadata

  • Download URL: tandem_client-0.4.25-py3-none-any.whl
  • Upload date:
  • Size: 28.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for tandem_client-0.4.25-py3-none-any.whl
Algorithm Hash digest
SHA256 d33aa343238e1d4175dc93485eb54ee9ef5f9fc903a855997f64335b8eb0d24b
MD5 20b82e1da9b7a0524a69f72c8b009d97
BLAKE2b-256 419ae6e87afcc88181a2b78446941f4425ea7e84c5c1f29e6bef2d8bccbfafc2

See more details on using hashes here.

Provenance

The following attestation bundles were made for tandem_client-0.4.25-py3-none-any.whl:

Publisher: publish-registries.yml on frumu-ai/tandem

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page