The A2A provider was already correctly using BaseLLMHTTPHandler through main.py:
- main.py routes a2a_agent requests to base_llm_http_handler.completion()
- A2AAgentConfig provides request/response transformation
- A2AStreamingIterator handles SSE streaming
The handler.py file was redundant and not being used:
- It defined A2AAgentChatCompletion(BaseLLM) which duplicated HTTP handling
- This pattern is deprecated in favor of BaseLLMHTTPHandler
- Removing it eliminates confusion about which code path is used
This aligns the A2A provider with the standard LiteLLM HTTP handler pattern
used by other providers like Anthropic, DeepSeek, etc.
This PR adds support for calling A2A-compliant agents through the standard
LiteLLM completion API by transforming OpenAI chat completion requests to
A2A protocol and vice versa.
Features:
- Full transformation between OpenAI chat completion format and A2A protocol
- Support for both streaming and non-streaming completions
- Proper handling of A2A message/task/artifact responses
- Integration with LiteLLM's provider infrastructure
Usage:
response = litellm.completion(
model='a2a_agent/my-agent',
messages=[{'role': 'user', 'content': 'Hello!'}],
api_base='http://localhost:9999', # A2A agent endpoint
)
For streaming:
response = litellm.completion(
model='a2a_agent/my-agent',
messages=[{'role': 'user', 'content': 'Hello!'}],
api_base='http://localhost:9999',
stream=True,
)
A2A Protocol Reference: https://github.com/a2aproject/A2A
* Add async_post_call_response_headers_hook to CustomLogger (#20070)
Allow CustomLogger callbacks to inject custom HTTP response headers
into streaming, non-streaming, and failure responses via a new
async_post_call_response_headers_hook method.
* async_post_call_response_headers_hook
---------
Co-authored-by: michelligabriele <gabriele.michelli@icloud.com>
* Add /realtime API benchmarks to Benchmarks documentation
- Added new section showing performance improvements for /realtime endpoint
- Included before/after metrics showing 182× faster p99 latency
- Added test setup specifications and key optimizations
- Referenced from v1.80.5-stable release notes
Co-authored-by: ishaan <ishaan@berri.ai>
* Update /realtime benchmarks to show current performance only
- Removed before/after comparison, showing only current metrics
- Clarified that benchmarks are e2e latency against fake realtime endpoint
- Simplified table format for better readability
Co-authored-by: ishaan <ishaan@berri.ai>
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: ishaan <ishaan@berri.ai>
* Add LangSmith mock client support
- Create langsmith_mock_client.py following GCS and Langfuse patterns
- Add mock mode detection via LANGSMITH_MOCK environment variable
- Intercept LangSmith API calls via AsyncHTTPHandler.post patching
- Add verbose logging throughout mock implementation
- Update LangsmithLogger to initialize mock client when mock mode enabled
- Supports configurable mock latency via LANGSMITH_MOCK_LATENCY_MS
* Add Datadog mock client support
- Create datadog_mock_client.py following GCS, Langfuse, and LangSmith patterns
- Add mock mode detection via DATADOG_MOCK environment variable
- Intercept Datadog API calls via AsyncHTTPHandler.post and httpx.Client.post patching
- Add verbose logging throughout mock implementation
- Update DataDogLogger and DataDogLLMObsLogger to initialize mock client when mock mode enabled
- Supports both async and sync logging paths
- Supports configurable mock latency via DATADOG_MOCK_LATENCY_MS
* refactor: consolidate mock client logic into factory pattern
- Create mock_client_factory.py to centralize common mock HTTP client logic
- Refactor GCS, Langfuse, LangSmith, and Datadog mock clients to use factory
- Improve GET/DELETE mock accuracy for GCS (return valid StandardLoggingPayload)
- Fix DELETE mock to return empty body (204 No Content) instead of JSON
- Reduce code duplication across integration mock clients
* feat: add PostHog mock client support
- Create posthog_mock_client.py using factory pattern
- Integrate mock client into PostHogLogger with mock mode detection
- Add verbose logging for mock mode initialization and batch operations
- Enable mock mode via POSTHOG_MOCK environment variable
* Add Helicone mock client support
- Created helicone_mock_client.py using factory pattern (similar to GCS)
- Integrated mock mode detection and initialization in HeliconeLogger
- Mock client patches HTTPHandler.post to intercept Helicone API calls
- Uses factory pattern for should_use_mock and MockResponse utilities
- Custom HTTPHandler.post patching required since HTTPHandler uses self.client.send()
* Add mock support for Braintrust integration and extend mock client factory
- Add braintrust_mock_client.py with mock HTTP client for Braintrust integration testing
- Integrate mock client into BraintrustLogger with mock mode detection
- Refactor Helicone mock client to fully utilize factory's HTTPHandler.post patching
- Extend mock_client_factory to support patching HTTPHandler.post for sync calls
- Enable endpoint-specific mock responses for Braintrust (/project vs /project_logs)
- All mock clients now properly handle both async (AsyncHTTPHandler) and sync (HTTPHandler) calls
* Fix linter errors: remove unused imports and suppress complexity warning
- Remove unused imports from gcs_bucket_mock_client.py (httpx, json, timedelta, Dict, Optional)
- Remove unused Callable import from mock_client_factory.py
- Add noqa comment to suppress PLR0915 complexity warning for create_mock_client_factory function
* Document mock environment variables for PostHog, Helicone, Braintrust, Datadog, and Langsmith integrations
- Add POSTHOG_MOCK and POSTHOG_MOCK_LATENCY_MS documentation
- Add HELICONE_MOCK and HELICONE_MOCK_LATENCY_MS documentation
- Add BRAINTRUST_MOCK and BRAINTRUST_MOCK_LATENCY_MS documentation
- Add DATADOG_MOCK and DATADOG_MOCK_LATENCY_MS documentation
- Add LANGSMITH_MOCK and LANGSMITH_MOCK_LATENCY_MS documentation
All mock env vars follow the same pattern: enable mock mode for integration testing by intercepting API calls and returning mock responses without making actual network calls.
* Fix security issue
