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Qoder Agent SDK lets you call Qoder AI capabilities from Python — read/write files, search code, execute commands, and more — embedding an AI Agent into your application or script with just a few lines of code.

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Prerequisites

  • Python 3.10+

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Install

pip install qoder-agent-sdk

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Authentication

The SDK authenticates via a Personal Access Token (PAT), ideal for scripts, CI pipelines, and third-party integration scenarios. Generate a PAT at qoder.com/account/integrations (copy it immediately — the value cannot be retrieved again after the page is closed). For full steps, custom environment variables, and reusing the local qodercli login session, see SDK Authentication. Once you have a PAT, set the environment variable first: 
export QODER_PERSONAL_ACCESS_TOKEN="<your-qoder-personal-access-token>"
python agent.py
Then configure authentication using access_token_from_env(): 
from qoder_agent_sdk import QoderAgentOptions, access_token_from_env, query

options = QoderAgentOptions(auth=access_token_from_env())

async for message in query(prompt="Hello", options=options):
    print(message)
The SDK reads this environment variable before starting qodercli and writes the parsed access token into a one-time auth payload. You typically don’t need to pass the PAT via the env option; if options.env is explicitly provided, the SDK reads the same-named variable from it first.
Security Note: Do not hard-code PATs in your code repository. Inject them via environment variables or a secrets management service.

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Choosing Between query() and QoderSDKClient

ScenarioUseWhy
One-shot, stateless task (single prompt → get result)query()Async generator, ready to use, finishes when the process ends
Multi-turn conversation, deciding the next step from each replyQoderSDKClientLong-lived connection, stateful

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Minimal example: query()

import anyio

from qoder_agent_sdk import (
    AssistantMessage,
    QoderAgentOptions,
    TextBlock,
    access_token_from_env,
    query,
)


async def main():
    options = QoderAgentOptions(auth=access_token_from_env())

    async for msg in query(prompt="What is 2 + 2?", options=options):
        if isinstance(msg, AssistantMessage):
            for block in msg.content:
                if isinstance(block, TextBlock):
                    print(block.text)


anyio.run(main)

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Minimal example: QoderSDKClient

import anyio

from qoder_agent_sdk import (
    AssistantMessage,
    QoderAgentOptions,
    QoderSDKClient,
    TextBlock,
    access_token_from_env,
)


async def main():
    options = QoderAgentOptions(auth=access_token_from_env())

    async with QoderSDKClient(options=options) as client:
        await client.query("What's the capital of France?")
        async for msg in client.receive_response():
            if isinstance(msg, AssistantMessage):
                for block in msg.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

        # Decide the next turn from what we just heard
        await client.query("What's the population of that city?")
        async for msg in client.receive_response():
            if isinstance(msg, AssistantMessage):
                for block in msg.content:
                    if isinstance(block, TextBlock):
                        print(block.text)


anyio.run(main)

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Full example

Create agent.py: 
import anyio

from qoder_agent_sdk import (
    AssistantMessage,
    QoderAgentOptions,
    ResultMessage,
    TextBlock,
    ToolUseBlock,
    access_token_from_env,
    query,
)


async def main():
    options = QoderAgentOptions(
        auth=access_token_from_env(),
        allowed_tools=["Read", "Write", "Edit", "Glob", "Grep", "Bash"],
        permission_mode="acceptEdits",  # Auto-approve file edits
    )

    async for message in query(
        prompt=(
            "Analyze the codebase, find functions without test coverage, "
            "and write unit tests for them."
        ),
        options=options,
    ):
        if isinstance(message, AssistantMessage):
            for block in message.content:
                if isinstance(block, TextBlock):
                    print(block.text)              # AI text response
                elif isinstance(block, ToolUseBlock):
                    print(f"Tool: {block.name}")   # Tool being called
        elif isinstance(message, ResultMessage):
            print(f"Done: {message.subtype}")      # Final result


anyio.run(main)

python agent.py
The Agent will autonomously browse the project, find functions lacking test coverage, generate test files, and run them for verification.

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Next Steps