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[PRE-284] Update Python SDK to reflect agent deployment changes - #15

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Siutan merged 13 commits into
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pre-284-update-python-sdk-to-reflect-agent-deployment-changes
May 14, 2026
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[PRE-284] Update Python SDK to reflect agent deployment changes#15
Siutan merged 13 commits into
mainfrom
pre-284-update-python-sdk-to-reflect-agent-deployment-changes

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@Siutan

@Siutan Siutan commented Apr 30, 2026

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Closes pre-284

Summary by CodeRabbit

Release Notes

  • New Features

    • Added support for deployment-scoped API tokens, where agent_id and environment_id are now optional and automatically inferred from the token.
  • Documentation

    • Updated documentation and examples to clarify two authentication modes: account-scoped tokens (with explicit agent_id and environment_id) and deployment-scoped tokens (parameters inferred from the token).

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📝 Walkthrough

Walkthrough

This PR enables deployment-scoped authentication tokens by making agent_id optional across the SDK's core client, HTTP layer, and integration packages. When agent_id is omitted, the API infers the agent and environment from the token. Support for an optional environment_id parameter is added, with conditional request payload composition based on provided parameters.

Changes

Cohort / File(s) Summary
Core Client & Manager
packages/core/src/prefactor_core/client.py, packages/core/src/prefactor_core/managers/agent_instance.py
Made agent_id optional (defaults to None) in PrefactorCoreClient.create_agent_instance and AgentInstanceManager.register. Added new environment_id parameter forwarding. Auto-generated external schema version ID now uses auto-deployment-<timestamp> pattern when agent_id is omitted, otherwise auto-<agent_id>-<timestamp>.
HTTP Client & Models
packages/http/src/prefactor_http/endpoints/agent_instance.py, packages/http/src/prefactor_http/models/agent_instance.py
Made agent_id optional in AgentInstanceClient.register and RegisterAgentInstanceRequest. Added environment_id parameter to both. Request payload conditionally includes these fields only when provided. Added required agent_deployment_id field to AgentInstance response model.
LangChain Integration
packages/langchain/src/prefactor_langchain/middleware.py, packages/langchain/tests/test_middleware.py
Changed agent_id default from "langchain-agent" to None in PrefactorMiddleware.__init__ and from_config. Schema version ID generation branches: uses "langchain-deployment" base when agent_id is None, otherwise uses "langchain-{agent_id}" pattern. Added test coverage for agent_id=None behavior.
LiveKit Integration
packages/livekit/src/prefactor_livekit/session.py, packages/livekit/tests/test_session.py
Changed agent_id default from "livekit-agent" to None in PrefactorLiveKitSession.__init__ and from_config. Schema version ID generation branches similarly: uses "livekit-deployment" when agent_id is None, else "livekit-{agent_id}". Added test coverage with TYPE_CHECKING imports and cast() for type safety.
Core Tests
packages/core/tests/test_agent_instance_register.py
New async pytest module validating the agent instance registration flow with mocked HTTP client. Tests verify environment_id and agent_id are conditionally included in payloads, and that external_identifier uses auto-deployment- prefix when both are omitted.
HTTP Tests
packages/http/tests/test_endpoints.py, packages/http/tests/test_models.py
Extended test fixture MOCK_INSTANCE with agent_deployment_id field. Added async tests verifying conditional payload composition for environment_id and agent_id. Updated existing tests to include agent_deployment_id in model instantiations.
Documentation & Examples
packages/core/README.md, packages/core/examples/agent_e2e.py, packages/http/README.md, packages/langchain/README.md, packages/livekit/README.md
Updated documentation to clarify two authentication modes: account-scoped tokens require agent_id (and usually environment_id), while deployment-scoped tokens allow omitting both. Updated examples to use optional agent_id retrieval via os.environ.get and conditional branch on its value. Added concrete deployment-scoped usage examples.

Sequence Diagram

sequenceDiagram
    participant Client as Client Code
    participant CoreClient as PrefactorCoreClient
    participant Manager as AgentInstanceManager
    participant HttpClient as PrefactorHttpClient
    participant API as Prefactor API

    rect rgba(100, 150, 200, 0.5)
    Note over Client,API: Deployment-Scoped Token (agent_id=None)
    Client->>CoreClient: create_agent_instance(agent_id=None)
    CoreClient->>Manager: register(agent_id=None, environment_id=None)
    Manager->>HttpClient: agent_instances.register(agent_id=None, environment_id=None, ...)
    HttpClient->>API: POST /agent_instances (minimal payload)
    API-->>HttpClient: AgentInstance {agent_deployment_id}
    HttpClient-->>Manager: registration response
    Manager-->>CoreClient: instance token
    CoreClient-->>Client: AgentInstanceHandle
    end

    rect rgba(150, 200, 100, 0.5)
    Note over Client,API: Account-Scoped Token (with agent_id and environment_id)
    Client->>CoreClient: create_agent_instance(agent_id="my-agent", environment_id="env-1")
    CoreClient->>Manager: register(agent_id="my-agent", environment_id="env-1", ...)
    Manager->>HttpClient: agent_instances.register(agent_id="my-agent", environment_id="env-1", ...)
    HttpClient->>API: POST /agent_instances (full payload)
    API-->>HttpClient: AgentInstance {agent_deployment_id}
    HttpClient-->>Manager: registration response
    Manager-->>CoreClient: instance token
    CoreClient-->>Client: AgentInstanceHandle
    end
Loading

Estimated Code Review Effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

Possibly Related PRs

  • prefactordev/python-sdk#8: Establishes the LiveKit integration foundation that this PR extends with optional agent_id support and deployment-scoped token handling.

Suggested Reviewers

  • joshgillies
  • simonrussell

Poem

🐰 Hops of joy for tokens wise,
Where agent_id need not be required,
Deployment-scoped, the backend spies,
What once was mandatory, now expired!
Optional now, the schema flows,
And middleware adapts as nobody knows! 🌟

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 44.19% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title accurately reflects the main change: updating the Python SDK to support deployment-scoped authentication (agent deployment changes), which is evident across all modified files.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

✨ Finishing Touches
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Commit unit tests in branch pre-284-update-python-sdk-to-reflect-agent-deployment-changes

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@Siutan
Siutan marked this pull request as ready for review April 30, 2026 07:32

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Actionable comments posted: 1

🧹 Nitpick comments (3)
packages/core/src/prefactor_core/client.py (1)

322-322: ⚡ Quick win

Document the new environment_id argument in create_agent_instance() docstring.

Line 322 adds a public parameter, but it is missing from the Args section, which makes the method contract incomplete.

Docstring patch
         Args:
             agent_id: ID of the agent to create an instance for.
             agent_version: Version information (name, etc.).
             agent_schema_version: Schema version. Uses registry if not provided
                 and registry is configured.
             instance_id: Optional custom ID for the instance.
             external_schema_version_id: Optional external identifier for the
                 schema version. Defaults to "auto-generated" when using registry.
+            environment_id: Optional environment ID. Required when using an
+                account-scoped token; omit when using a deployment-scoped token.

As per coding guidelines, "All public functions and classes need docstrings in Google style".

Also applies to: 332-340

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@packages/core/src/prefactor_core/client.py` at line 322, The docstring for
create_agent_instance is missing the new public parameter environment_id; update
the Google-style docstring Args section in the create_agent_instance function to
include a clear entry for environment_id (type and purpose, e.g.,
"environment_id (str | None): Optional environment identifier used to scope the
agent instance.") and ensure the description formatting matches the existing
Args entries (wrap type in parentheses and provide a short description). Also
scan the nearby docstring area referenced around lines where
create_agent_instance is defined to ensure documentation consistency for any
other newly added parameters.
packages/http/tests/test_agent_deployment.py (1)

1-4: ⚡ Quick win

Add from __future__ import annotations at module top.

This new Python module is missing the required future-annotations import.

Proposed fix
 """Tests for AgentDeployment models and endpoint client."""
 
+from __future__ import annotations
+
 import pytest
 from aioresponses import aioresponses
As per coding guidelines, `**/*.py`: Use Python 3.11+ with `from __future__ import annotations` at the top of modules.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@packages/http/tests/test_agent_deployment.py` around lines 1 - 4, This module
is missing the required future annotations import; add the line "from __future__
import annotations" at the very top of the test module (before any other imports
or code) in the file containing the AgentDeployment tests
(test_agent_deployment.py) so that the module uses PEP 563-style postponed
evaluation of annotations for compatibility with Python 3.11+ and project
guidelines.
packages/http/src/prefactor_http/models/agent_deployment.py (1)

11-30: ⚡ Quick win

Public model classes need Google-style docstrings.

These are exported SDK-facing models; adding class docstrings keeps the public contract self-describing.

Proposed fix
 class AgentDeployment(BaseModel):
+    """Represents an agent deployment.
+
+    Attributes:
+        type: Resource discriminator.
+        id: Deployment ID.
+        account_id: Account ID owning the deployment.
+        agent_id: Agent ID.
+        environment_id: Environment ID.
+        current_version_id: Currently pinned version ID, if any.
+        inserted_at: Creation timestamp.
+        updated_at: Last update timestamp.
+    """
     type: Literal["agent_deployment"]
@@
 class CreateAgentDeploymentRequest(BaseModel):
+    """Request payload for creating an agent deployment.
+
+    Attributes:
+        agent_id: Agent ID.
+        environment_id: Environment ID.
+        current_version_id: Optional initial pinned version ID.
+        id: Optional explicit deployment ID.
+    """
     agent_id: str
@@
 class UpdateAgentDeploymentRequest(BaseModel):
+    """Request payload for updating an agent deployment.
+
+    Attributes:
+        current_version_id: New pinned version ID, or `None` to clear.
+    """
     current_version_id: str | None = None
As per coding guidelines, `All public functions and classes need docstrings in Google style`.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@packages/http/src/prefactor_http/models/agent_deployment.py` around lines 11
- 30, Add Google-style docstrings to the three public Pydantic models:
AgentDeployment, CreateAgentDeploymentRequest, and UpdateAgentDeploymentRequest.
For each class provide a one-line summary, a short description if needed, and an
Attributes section listing each field (e.g., id, account_id, agent_id,
environment_id, current_version_id, inserted_at, updated_at for AgentDeployment;
agent_id, environment_id, current_version_id, id for
CreateAgentDeploymentRequest; current_version_id for
UpdateAgentDeploymentRequest) with types and a brief purpose for each attribute
so the SDK contract is self-describing.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@packages/http/src/prefactor_http/endpoints/agent_deployment.py`:
- Around line 97-111: The update() method is treating an omitted
current_version_id the same as an explicit None, causing unintentional clearing;
change the signature to use a unique sentinel (e.g., _UNSET) instead of None as
the default for current_version_id, construct UpdateAgentDeploymentRequest only
when the sentinel is not passed (or set the field but serialize with
exclude_unset=True), and call details.model_dump(exclude_unset=True) before
sending via self._client.request so that omitted fields are not serialized and
explicit None still clears the pin; update references to current_version_id,
UpdateAgentDeploymentRequest, model_dump, and the _client.request call
accordingly.

---

Nitpick comments:
In `@packages/core/src/prefactor_core/client.py`:
- Line 322: The docstring for create_agent_instance is missing the new public
parameter environment_id; update the Google-style docstring Args section in the
create_agent_instance function to include a clear entry for environment_id (type
and purpose, e.g., "environment_id (str | None): Optional environment identifier
used to scope the agent instance.") and ensure the description formatting
matches the existing Args entries (wrap type in parentheses and provide a short
description). Also scan the nearby docstring area referenced around lines where
create_agent_instance is defined to ensure documentation consistency for any
other newly added parameters.

In `@packages/http/src/prefactor_http/models/agent_deployment.py`:
- Around line 11-30: Add Google-style docstrings to the three public Pydantic
models: AgentDeployment, CreateAgentDeploymentRequest, and
UpdateAgentDeploymentRequest. For each class provide a one-line summary, a short
description if needed, and an Attributes section listing each field (e.g., id,
account_id, agent_id, environment_id, current_version_id, inserted_at,
updated_at for AgentDeployment; agent_id, environment_id, current_version_id, id
for CreateAgentDeploymentRequest; current_version_id for
UpdateAgentDeploymentRequest) with types and a brief purpose for each attribute
so the SDK contract is self-describing.

In `@packages/http/tests/test_agent_deployment.py`:
- Around line 1-4: This module is missing the required future annotations
import; add the line "from __future__ import annotations" at the very top of the
test module (before any other imports or code) in the file containing the
AgentDeployment tests (test_agent_deployment.py) so that the module uses PEP
563-style postponed evaluation of annotations for compatibility with Python
3.11+ and project guidelines.
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Fix all unresolved CodeRabbit comments on this PR:

  • Push a commit to this branch (recommended)
  • Create a new PR with the fixes

ℹ️ Review info
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Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: d2f7ef33-0c2a-4efc-b8da-1b5b04f33596

📥 Commits

Reviewing files that changed from the base of the PR and between 9c1506f and 9ebfa92.

📒 Files selected for processing (14)
  • packages/core/src/prefactor_core/client.py
  • packages/core/src/prefactor_core/managers/agent_instance.py
  • packages/core/tests/test_agent_instance_register.py
  • packages/http/src/prefactor_http/__init__.py
  • packages/http/src/prefactor_http/client.py
  • packages/http/src/prefactor_http/endpoints/__init__.py
  • packages/http/src/prefactor_http/endpoints/agent_deployment.py
  • packages/http/src/prefactor_http/endpoints/agent_instance.py
  • packages/http/src/prefactor_http/models/__init__.py
  • packages/http/src/prefactor_http/models/agent_deployment.py
  • packages/http/src/prefactor_http/models/agent_instance.py
  • packages/http/tests/test_agent_deployment.py
  • packages/http/tests/test_endpoints.py
  • packages/http/tests/test_models.py

Comment thread packages/http/src/prefactor_http/endpoints/agent_deployment.py Outdated

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Actionable comments posted: 2

🧹 Nitpick comments (1)
packages/http/src/prefactor_http/endpoints/agent_deployment.py (1)

22-132: ⚡ Quick win

Standardize public API docstrings to Google style.

Public class/method docstrings should include structured sections (Args, Returns, and Raises where relevant) for consistency with repository standards.

As per coding guidelines, "All public functions and classes need docstrings in Google style".

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@packages/http/src/prefactor_http/endpoints/agent_deployment.py` around lines
22 - 132, The public API docstrings in AgentDeploymentClient (class) and its
public methods list, get, create, update, and delete are not in Google style;
update each public docstring to Google style including structured sections: Args
(with parameter names and types), Returns (type and brief description), and
Raises where applicable (e.g., PrefactorResponseContractError from
_parse_response and list when ValidationError is raised); also add a short
one-line class summary for AgentDeploymentClient and for each method keep the
existing short description (HTTP path) but move it into the main description
paragraph above the Args/Returns/Raises sections so reviewers can quickly locate
the changes by looking for AgentDeploymentClient, _parse_response, list, get,
create, update, and delete.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@packages/http/src/prefactor_http/endpoints/agent_deployment.py`:
- Around line 102-116: The parameter current_version_id is annotated as str |
None | object which prevents the type checker from narrowing away the sentinel;
change the signature to include the actual sentinel type (e.g., create a type
alias Unset = type(_UNSET) or similar) and annotate as current_version_id: str |
None | Unset = _UNSET so the else branch passes a value matching
UpdateAgentDeploymentRequest's expected str | None; update the function/method
update() signature and imports/aliases for _UNSET/Unset accordingly so static
type checking can confirm current_version_id is str | None before calling
UpdateAgentDeploymentRequest(current_version_id=...).

In `@packages/http/tests/test_agent_deployment.py`:
- Around line 5-17: Imports are out of import-order: move third-party imports
(including "from pydantic import ValidationError") before local package imports
so they appear in the third-party group ahead of "from prefactor_http import
..." and related local imports; adjust the import block in this test file so
pytest, aioresponses, and pydantic are grouped together above
PrefactorHttpClient/AgentDeployment-related imports to satisfy the repo
import-order rule.

---

Nitpick comments:
In `@packages/http/src/prefactor_http/endpoints/agent_deployment.py`:
- Around line 22-132: The public API docstrings in AgentDeploymentClient (class)
and its public methods list, get, create, update, and delete are not in Google
style; update each public docstring to Google style including structured
sections: Args (with parameter names and types), Returns (type and brief
description), and Raises where applicable (e.g., PrefactorResponseContractError
from _parse_response and list when ValidationError is raised); also add a short
one-line class summary for AgentDeploymentClient and for each method keep the
existing short description (HTTP path) but move it into the main description
paragraph above the Args/Returns/Raises sections so reviewers can quickly locate
the changes by looking for AgentDeploymentClient, _parse_response, list, get,
create, update, and delete.
🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

  • Push a commit to this branch (recommended)
  • Create a new PR with the fixes

ℹ️ Review info
⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: c524e64a-016b-4ff8-a662-7b15950a3a72

📥 Commits

Reviewing files that changed from the base of the PR and between 9ebfa92 and 5d12704.

📒 Files selected for processing (4)
  • packages/core/src/prefactor_core/client.py
  • packages/http/src/prefactor_http/endpoints/agent_deployment.py
  • packages/http/src/prefactor_http/models/agent_deployment.py
  • packages/http/tests/test_agent_deployment.py
✅ Files skipped from review due to trivial changes (1)
  • packages/http/src/prefactor_http/models/agent_deployment.py
🚧 Files skipped from review as they are similar to previous changes (1)
  • packages/core/src/prefactor_core/client.py

Comment thread packages/http/src/prefactor_http/endpoints/agent_deployment.py Outdated
Comment thread packages/http/tests/test_agent_deployment.py Outdated

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Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)
packages/core/examples/agent_e2e.py (1)

34-39: 🛠️ Refactor suggestion | 🟠 Major | ⚡ Quick win

Add from __future__ import annotations at the module top.

This file is part of the change set but does not include the required future import.

♻️ Proposed fix
 """
 E2E example for prefactor-core.
@@
 environment from the token.
 """
 
+from __future__ import annotations
+
 import asyncio
 import os

As per coding guidelines, **/*.py: Use Python 3.11+ with from __future__ import annotations at the top of modules.

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@packages/core/examples/agent_e2e.py` around lines 34 - 39, Add the future
annotations import at the very top of the module by inserting "from __future__
import annotations" before any other imports in the file; update the module that
imports asyncio, os, PrefactorCoreClient/PrefactorCoreConfig/SchemaRegistry and
HttpClientConfig so the future import appears as the first line to satisfy the
Python 3.11+ coding guideline.
🧹 Nitpick comments (1)
packages/http/src/prefactor_http/models/agent_instance.py (1)

227-251: ⚡ Quick win

Update AgentInstance docstring to include agent_deployment_id.

A required public field was added, but the class attribute documentation wasn’t updated.

📝 Proposed fix
 class AgentInstance(BaseModel):
@@
         agent_version_id: Agent version ID
         environment_id: Environment ID
+        agent_deployment_id: Agent deployment ID
         status: Instance status

As per coding guidelines, **/*.py: All public functions and classes need docstrings in Google style.

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@packages/http/src/prefactor_http/models/agent_instance.py` around lines 227 -
251, The AgentInstance docstring is missing the new public field
agent_deployment_id; update the class docstring for AgentInstance to include a
line describing agent_deployment_id (e.g., "agent_deployment_id: Deployment ID
for the agent") following the same Google-style attribute list and formatting as
the other attributes so the documentation matches the declared attribute
`agent_deployment_id` in the class.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Outside diff comments:
In `@packages/core/examples/agent_e2e.py`:
- Around line 34-39: Add the future annotations import at the very top of the
module by inserting "from __future__ import annotations" before any other
imports in the file; update the module that imports asyncio, os,
PrefactorCoreClient/PrefactorCoreConfig/SchemaRegistry and HttpClientConfig so
the future import appears as the first line to satisfy the Python 3.11+ coding
guideline.

---

Nitpick comments:
In `@packages/http/src/prefactor_http/models/agent_instance.py`:
- Around line 227-251: The AgentInstance docstring is missing the new public
field agent_deployment_id; update the class docstring for AgentInstance to
include a line describing agent_deployment_id (e.g., "agent_deployment_id:
Deployment ID for the agent") following the same Google-style attribute list and
formatting as the other attributes so the documentation matches the declared
attribute `agent_deployment_id` in the class.

ℹ️ Review info
⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: ea92f2c5-95a2-4329-b69e-d1a3ab0c244a

📥 Commits

Reviewing files that changed from the base of the PR and between bf067ba and 0b34aef.

📒 Files selected for processing (15)
  • packages/core/README.md
  • packages/core/examples/agent_e2e.py
  • packages/core/src/prefactor_core/client.py
  • packages/core/src/prefactor_core/managers/agent_instance.py
  • packages/core/tests/test_agent_instance_register.py
  • packages/http/README.md
  • packages/http/src/prefactor_http/endpoints/agent_instance.py
  • packages/http/src/prefactor_http/models/agent_instance.py
  • packages/http/tests/test_endpoints.py
  • packages/langchain/README.md
  • packages/langchain/src/prefactor_langchain/middleware.py
  • packages/langchain/tests/test_middleware.py
  • packages/livekit/README.md
  • packages/livekit/src/prefactor_livekit/session.py
  • packages/livekit/tests/test_session.py
✅ Files skipped from review due to trivial changes (4)
  • packages/http/README.md
  • packages/livekit/README.md
  • packages/langchain/README.md
  • packages/core/README.md
🚧 Files skipped from review as they are similar to previous changes (3)
  • packages/http/tests/test_endpoints.py
  • packages/core/src/prefactor_core/managers/agent_instance.py
  • packages/livekit/tests/test_session.py

@Siutan
Siutan requested a review from a team May 1, 2026 07:23
@Siutan
Siutan merged commit fa38947 into main May 14, 2026
9 checks passed
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