LiteLLM Minor Fixes & Improvements (10/30/2024) - #6519
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…file easier to isolate the gemini translation logic
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| tool_choice="required", | ||
| client=client, | ||
| ) | ||
| print("Response\n", response) |
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AI almost 2 years ago
To fix the problem, we should avoid logging the entire response object directly. Instead, we can log only the non-sensitive parts of the response object. This can be achieved by selectively logging specific fields that are known to be non-sensitive.
- Identify the non-sensitive parts of the
responseobject. - Modify the print statement to log only these non-sensitive parts.
- Ensure that any sensitive information is excluded from the logs.
| @@ -586,3 +586,3 @@ | ||
| ) | ||
| print("Response\n", response) | ||
| print("Response\n", {"choices": response.choices, "usage": response.usage}) | ||
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| logprobs=True, | ||
| client=client, | ||
| ) | ||
| print(resp) |
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Clear-text logging of sensitive information
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AI almost 2 years ago
To fix the problem, we should avoid logging the entire resp object directly. Instead, we can log only the non-sensitive parts of the response or use a logging mechanism that redacts sensitive information. In this case, we will modify the print statement to log only the non-sensitive parts of the resp object.
- Identify the non-sensitive parts of the
respobject that can be safely logged. - Replace the
print(resp)statement with a statement that logs only the non-sensitive parts. - Ensure that the fix does not change the existing functionality of the test.
| @@ -1170,3 +1170,3 @@ | ||
| ) | ||
| print(resp) | ||
| print(f"Response choices: {resp.choices}, Usage: {resp.usage}") | ||
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Uses a global executor pool instead of creating a new thread on each request Fixes #6404
* fix listing teams on ui * LiteLLM Minor Fixes & Improvements (10/28/2024) (#6475) * fix(anthropic/chat/transformation.py): support anthropic disable_parallel_tool_use param Fixes #6456 * feat(anthropic/chat/transformation.py): support anthropic computer tool use Closes #6427 * fix(vertex_ai/common_utils.py): parse out '$schema' when calling vertex ai Fixes issue when trying to call vertex from vercel sdk * fix(main.py): add 'extra_headers' support for azure on all translation endpoints Fixes #6465 * fix: fix linting errors * fix(transformation.py): handle no beta headers for anthropic * test: cleanup test * fix: fix linting error * fix: fix linting errors * fix: fix linting errors * fix(transformation.py): handle dummy tool call * fix(main.py): fix linting error * fix(azure.py): pass required param * LiteLLM Minor Fixes & Improvements (10/24/2024) (#6441) * fix(azure.py): handle /openai/deployment in azure api base * fix(factory.py): fix faulty anthropic tool result translation check Fixes #6422 * fix(gpt_transformation.py): add support for parallel_tool_calls to azure Fixes #6440 * fix(factory.py): support anthropic prompt caching for tool results * fix(vertex_ai/common_utils): don't pop non-null required field Fixes #6426 * feat(vertex_ai.py): support code_execution tool call for vertex ai + gemini Closes #6434 * build(model_prices_and_context_window.json): Add 'supports_assistant_prefill' for bedrock claude-3-5-sonnet v2 models Closes #6437 * fix(types/utils.py): fix linting * test: update test to include required fields * test: fix test * test: handle flaky test * test: remove e2e test - hitting gemini rate limits * Litellm dev 10 26 2024 (#6472) * docs(exception_mapping.md): add missing exception types Fixes Aider-AI/aider#2120 (comment) * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * (Testing) Add unit testing for DualCache - ensure in memory cache is used when expected (#6471) * test test_dual_cache_get_set * unit testing for dual cache * fix async_set_cache_sadd * test_dual_cache_local_only * redis otel tracing + async support for latency routing (#6452) * docs(exception_mapping.md): add missing exception types Fixes Aider-AI/aider#2120 (comment) * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * refactor: pass parent_otel_span for redis caching calls in router allows for more observability into what calls are causing latency issues * test: update tests with new params * refactor: ensure e2e otel tracing for router * refactor(router.py): add more otel tracing acrosss router catch all latency issues for router requests * fix: fix linting error * fix(router.py): fix linting error * fix: fix test * test: fix tests * fix(dual_cache.py): pass ttl to redis cache * fix: fix param * fix(dual_cache.py): set default value for parent_otel_span * fix(transformation.py): support 'response_format' for anthropic calls * fix(transformation.py): check for cache_control inside 'function' block * fix: fix linting error * fix: fix linting errors --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> --------- Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Signed-off-by: dbczumar <corey.zumar@databricks.com>
…the same model (#6543) * fix use failing_model as cache key for failed_tracking_alert * fix use standard logging payload for getting response cost * fix kwargs.get("response_cost") * fix getting response cost
* init commit for XAI * add full logic for xai chat completion * test_completion_xai * docs xAI * add xai/grok-beta * test_xai_chat_config_get_openai_compatible_provider_info * test_xai_chat_config_map_openai_params * add xai streaming test
| messages=messages, | ||
| stream=stream, | ||
| ) | ||
| print(response) |
Check failure
Code scanning / CodeQL
Clear-text logging of sensitive information
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Copilot Autofix
AI almost 2 years ago
To fix the problem, we should avoid logging the entire response object directly. Instead, we can log only the non-sensitive parts of the response. This can be achieved by extracting and logging only the necessary information that does not include sensitive data.
- Identify the lines where the
responseobject is being printed. - Replace the direct logging of the
responseobject with logging of non-sensitive parts of the response. - Ensure that no sensitive information is included in the logs.
| @@ -131,3 +131,3 @@ | ||
| ) | ||
| print(response) | ||
| print(f"Response received with status: {response.status_code}") | ||
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||
| @@ -135,3 +135,3 @@ | ||
| for chunk in response: | ||
| print(chunk) | ||
| print(f"Chunk received with status: {chunk.status_code}") | ||
| assert chunk is not None |
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||
| if stream is True: | ||
| for chunk in response: | ||
| print(chunk) |
Check failure
Code scanning / CodeQL
Clear-text logging of sensitive information
Show autofix suggestion
Hide autofix suggestion
Copilot Autofix
AI almost 2 years ago
To fix the problem, we should avoid printing sensitive data directly. Instead, we can log a sanitized version of the data or use a logging mechanism that redacts sensitive information. In this case, we will replace the print(chunk) statement with a logging statement that ensures sensitive information is not exposed.
- Replace the
print(chunk)statement with a logging statement that redacts sensitive information. - Ensure that the logging mechanism used is capable of handling sensitive data appropriately.
| @@ -1,2 +1,3 @@ | ||
| import json | ||
| from litellm.utils import sanitize_sensitive_data | ||
| import os | ||
| @@ -135,3 +136,4 @@ | ||
| for chunk in response: | ||
| print(chunk) | ||
| sanitized_chunk = sanitize_sensitive_data(chunk) | ||
| print(sanitized_chunk) | ||
| assert chunk is not None |
* refactor: move gemini translation logic inside the transformation.py file easier to isolate the gemini translation logic * fix(gemini-transformation): support multiple tool calls in message body Merges https://github.com/BerriAI/litellm/pull/6487/files * test(test_vertex.py): add remaining tests from BerriAI#6487 * fix(gemini-transformation): return tool calls for multiple tool calls * fix: support passing logprobs param for vertex + gemini * feat(vertex_ai): add logprobs support for gemini calls * fix(anthropic/chat/transformation.py): fix disable parallel tool use flag * fix: fix linting error * fix(_logging.py): log stacktrace information in json logs Closes BerriAI#6497 * fix(utils.py): fix mem leak for async stream + completion Uses a global executor pool instead of creating a new thread on each request Fixes BerriAI#6404 * fix(factory.py): handle tool call + content in assistant message for bedrock * fix: fix import * fix(factory.py): maintain support for content as a str in assistant response * fix: fix import * test: cleanup test * fix(vertex_and_google_ai_studio/): return none for content if no str value * test: retry flaky tests * (UI) Fix viewing members, keys in a team + added testing (BerriAI#6514) * fix listing teams on ui * LiteLLM Minor Fixes & Improvements (10/28/2024) (BerriAI#6475) * fix(anthropic/chat/transformation.py): support anthropic disable_parallel_tool_use param Fixes BerriAI#6456 * feat(anthropic/chat/transformation.py): support anthropic computer tool use Closes BerriAI#6427 * fix(vertex_ai/common_utils.py): parse out '$schema' when calling vertex ai Fixes issue when trying to call vertex from vercel sdk * fix(main.py): add 'extra_headers' support for azure on all translation endpoints Fixes BerriAI#6465 * fix: fix linting errors * fix(transformation.py): handle no beta headers for anthropic * test: cleanup test * fix: fix linting error * fix: fix linting errors * fix: fix linting errors * fix(transformation.py): handle dummy tool call * fix(main.py): fix linting error * fix(azure.py): pass required param * LiteLLM Minor Fixes & Improvements (10/24/2024) (BerriAI#6441) * fix(azure.py): handle /openai/deployment in azure api base * fix(factory.py): fix faulty anthropic tool result translation check Fixes BerriAI#6422 * fix(gpt_transformation.py): add support for parallel_tool_calls to azure Fixes BerriAI#6440 * fix(factory.py): support anthropic prompt caching for tool results * fix(vertex_ai/common_utils): don't pop non-null required field Fixes BerriAI#6426 * feat(vertex_ai.py): support code_execution tool call for vertex ai + gemini Closes BerriAI#6434 * build(model_prices_and_context_window.json): Add 'supports_assistant_prefill' for bedrock claude-3-5-sonnet v2 models Closes BerriAI#6437 * fix(types/utils.py): fix linting * test: update test to include required fields * test: fix test * test: handle flaky test * test: remove e2e test - hitting gemini rate limits * Litellm dev 10 26 2024 (BerriAI#6472) * docs(exception_mapping.md): add missing exception types Fixes Aider-AI/aider#2120 (comment) * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * (Testing) Add unit testing for DualCache - ensure in memory cache is used when expected (BerriAI#6471) * test test_dual_cache_get_set * unit testing for dual cache * fix async_set_cache_sadd * test_dual_cache_local_only * redis otel tracing + async support for latency routing (BerriAI#6452) * docs(exception_mapping.md): add missing exception types Fixes Aider-AI/aider#2120 (comment) * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * refactor: pass parent_otel_span for redis caching calls in router allows for more observability into what calls are causing latency issues * test: update tests with new params * refactor: ensure e2e otel tracing for router * refactor(router.py): add more otel tracing acrosss router catch all latency issues for router requests * fix: fix linting error * fix(router.py): fix linting error * fix: fix test * test: fix tests * fix(dual_cache.py): pass ttl to redis cache * fix: fix param * fix(dual_cache.py): set default value for parent_otel_span * fix(transformation.py): support 'response_format' for anthropic calls * fix(transformation.py): check for cache_control inside 'function' block * fix: fix linting error * fix: fix linting errors --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> --------- Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com> * ui new build * Add retry strat (BerriAI#6520) Signed-off-by: dbczumar <corey.zumar@databricks.com> * (fix) slack alerting - don't spam the failed cost tracking alert for the same model (BerriAI#6543) * fix use failing_model as cache key for failed_tracking_alert * fix use standard logging payload for getting response cost * fix kwargs.get("response_cost") * fix getting response cost * (feat) add XAI ChatCompletion Support (BerriAI#6373) * init commit for XAI * add full logic for xai chat completion * test_completion_xai * docs xAI * add xai/grok-beta * test_xai_chat_config_get_openai_compatible_provider_info * test_xai_chat_config_map_openai_params * add xai streaming test --------- Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
Title
Relevant issues
Closes #6497
Fixes #6404
Fixes #6535
Type
🆕 New Feature
🐛 Bug Fix
🧹 Refactoring
📖 Documentation
🚄 Infrastructure
✅ Test
Changes
[REQUIRED] Testing - Attach a screenshot of any new tests passing locall
If UI changes, send a screenshot/GIF of working UI fixes