tiennm99/litellm
1
0
Fork 0
mirror of https://github.com/tiennm99/litellm.git synced 2026-07-13 17:10:08 +00:00
Code Issues Packages Projects Releases Wiki Activity
39,600 Commits 2,072 Branches 1,425 Tags
f5b11b72a6dcc8f4e7a16f00a61bdd124cc171d2
Commit Graph

6 Commits

Author SHA1 Message Date
Mateo Wang 2c733c00f5 chore(ci): modernize model references in tests and configs (#27856) 
* test: modernize models used in CircleCI e2e test suites

Replaces obsolete models (gpt-4o, gpt-4o-mini, gpt-3.5-turbo,
claude-3-5-sonnet-20240620, claude-sonnet-4-20250514) with current
equivalents across the e2e_openai_endpoints and
proxy_e2e_anthropic_messages_tests CircleCI jobs.

- gpt-4o -> gpt-5.5 (responses API e2e tests)
- gpt-4o-mini -> gpt-5-mini (websocket responses, oai_misc_config)
- gpt-4o-mini-2024-07-18 -> gpt-4.1-mini-2025-04-14 (fine-tuning,
  still actively fine-tunable)
- gpt-4 / gpt-3.5-turbo target_model_names example -> gpt-5.5 /
  gpt-5-mini
- bedrock claude-3-5-sonnet-20240620 batch entry -> haiku-4-5-20251001
  (also aligning oai_misc_config model_name with what
  test_bedrock_batches_api.py actually requests)
- bedrock claude-sonnet-4-20250514 (deprecated, retires 2026-06-15)
  -> claude-sonnet-4-5-20250929

* test: point bedrock-claude-sonnet-4 alias at Sonnet 4.6, not 4.5

Greptile/Cursor flagged that after the previous commit, the
bedrock-claude-sonnet-4 alias collided with bedrock-claude-sonnet-4.5
(both pointed to claude-sonnet-4-5-20250929). Rename to
bedrock-claude-sonnet-4.6 and point it at the Sonnet 4.6 Bedrock ID
(us.anthropic.claude-sonnet-4-6, already in the litellm model
registry) so the alias name matches the underlying model version.

* test: modernize models across remaining CI-mounted configs & tests

Expands the modernization sweep to all CircleCI-mounted proxy configs
and to test directories where the model literal is a fixture/route key
(not the test's subject).

Config changes:
- proxy_server_config.yaml: bump gpt-3.5-turbo / gpt-3.5-turbo-1106 /
  gpt-4o / gemini-1.5-flash / dall-e-3 underlying models; rename
  gpt-3.5-turbo-end-user-test alias to gpt-5-mini-end-user-test; bump
  text-embedding-ada-002 underlying to text-embedding-3-small. User-
  facing aliases (gpt-3.5-turbo, gpt-4, text-embedding-ada-002, etc.)
  preserved for backward compatibility with tests.
- simple_config.yaml, otel_test_config.yaml, spend_tracking_config.yaml:
  bump gpt-3.5-turbo underlying to gpt-5-mini.
- pass_through_config.yaml: claude-3-5-sonnet / claude-3-7-sonnet /
  claude-3-haiku entries replaced with claude-sonnet-4-5 / claude-
  haiku-4-5 / claude-opus-4-7.
- oai_misc_config.yaml: align alias name with the gpt-5-mini rename.

Test changes (proactive: claude-sonnet-4-20250514 / claude-opus-4-
20250514 retire 2026-06-15):
- tests/llm_translation/test_anthropic_completion.py: bump 3 references
  + paired Vertex AI ID to claude-sonnet-4-5.
- tests/llm_translation/test_optional_params.py: bump 2 references.
- tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py
  and test_bedrock_anthropic_messages_test.py: bump router fixtures
  using the deprecated model IDs.
- tests/pass_through_unit_tests/base_anthropic_messages_tool_search_test.py:
  modernize docstring examples.
- tests/test_end_users.py: update references to renamed alias.

* test: modernize placeholder model literals in router_unit_tests

Mass replace_all on fixture/placeholder model literals across the
router_unit_tests/ suite (model name is a routing key / label, not the
test subject). Sub-agent sweep so far — additional commits will follow
for logging_callback_tests/, enterprise/, top-level tests/test_*.py,
and other CI-mounted dirs.

Mappings applied:
- gpt-3.5-turbo -> gpt-5-mini
- gpt-4 (bare) -> gpt-5.5
- gpt-4o (bare) -> gpt-5
- text-embedding-ada-002 -> text-embedding-3-small
- claude-3-sonnet-20240229 / claude-3-opus-20240229 /
  claude-3-haiku-20240307 / claude-3-5-sonnet-20240620 ->
  claude-sonnet-4-5-20250929 / claude-opus-4-7 /
  claude-haiku-4-5-20251001 as appropriate

Explicitly preserved:
- gpt-4o-mini-* variants (transcribe, tts, etc.) where they're current
- gpt-4-turbo / gpt-4-vision-preview / gpt-4-0613 (subject literals)
- JSONL batch body literals
- Mock LLM response model fields (must match upstream)
- Fake/mock identifiers

* test: modernize placeholder model literals across remaining CI suites

Sub-agent sweep across logging_callback_tests/, guardrails_tests/,
enterprise/, pass_through_unit_tests/, otel_tests/,
llm_responses_api_testing/, batches_tests/, spend_tracking_tests/,
litellm_utils_tests/, unified_google_tests/, and a few top-level
tests/test_*.py files where the model literal is a fixture or
placeholder (router model_list, mock standard logging payload, mock
callback data) rather than the test's subject.

Mappings applied (see scope notes below):
- gpt-3.5-turbo -> gpt-5-mini
- gpt-4 (bare) -> gpt-5.5
- gpt-4o (bare) -> gpt-5.5 (corrected from initial gpt-5 — bare gpt-5
  is not a valid OpenAI alias; only gpt-5.5 / gpt-5.4 / gpt-5.2-codex
  / gpt-5-mini exist)
- gpt-4o-mini (bare) -> gpt-5-mini
- text-embedding-ada-002 -> text-embedding-3-small
- claude-3-sonnet-20240229 -> claude-sonnet-4-5-20250929
- claude-3-opus-20240229 -> claude-opus-4-7
- claude-3-haiku-20240307 -> claude-haiku-4-5-20251001
- claude-3-5-sonnet-20240620/20241022 -> claude-sonnet-4-5-20250929
- claude-3-7-sonnet-20250219 -> claude-sonnet-4-6
- gemini-1.5-flash -> gemini-2.5-flash
- gemini-1.5-pro -> gemini-2.5-pro

Explicitly preserved (not modernized):
- llm_translation/ tests where model is the SUBJECT (provider-specific
  translation/transformation logic). Only the deprecated 20250514
  references were already bumped in a prior commit.
- Cost-calc / tokenizer subject tests in test_utils.py (skip-ranges
  documented by the sub-agent).
- Bedrock model IDs in test_health_check.py path-stripping tests.
- JSONL batch request bodies and mock LLM response bodies (must match
  upstream literal).
- Langfuse expected-request-body JSON fixtures (cost values are exact-
  match-asserted; changing the model would shift response_cost).
- gpt-3.5-turbo-instruct (text-completion endpoint; no modern OpenAI
  equivalent).
- Top-level tests calling the proxy through user-facing aliases
  (gpt-3.5-turbo, gpt-4, text-embedding-ada-002, dall-e-3) — aliases
  in proxy_server_config.yaml stay; only the underlying model was
  bumped.
- tests/test_gpt5_azure_temperature_support.py (the test's whole point
  is model-name handling).
- Fake / mock / openai/fake identifiers.

Notable side fixes:
- test_spend_accuracy_tests.py: UPSTREAM_MODEL now matches what
  spend_tracking_config.yaml's proxy actually routes to (gpt-5-mini),
  resolving a latent inconsistency.
- proxy_server_config.yaml: bare `gpt-5` alias renamed to `gpt-5.5`
  (bare gpt-5 is not a valid OpenAI alias).
- test_batches_logging_unit_tests.py: explicit_models list entries
  kept distinct (gpt-5-mini + gpt-5.5) after bulk rename.

* test: fix CI failures from model modernization sweep

CI surfaced 4 categories of regression from the bulk modernization:

1. Azure deployment names are customer-specific. Reverted:
   - tests/litellm_utils_tests/test_health_check.py: azure/text-
     embedding-3-small -> azure/text-embedding-ada-002 (the CI Azure
     account does not have a text-embedding-3-small deployment).
   - tests/logging_callback_tests/test_custom_callback_router.py:
     same revert for two router fixtures driving aembedding.

2. gpt-5 family does not accept temperature != 1. Tests that pass a
   custom temperature swapped from gpt-5-mini to gpt-4.1-mini (modern
   non-reasoning OpenAI mini that still accepts temperature/logprobs):
   - tests/logging_callback_tests/test_datadog.py
   - tests/logging_callback_tests/test_langsmith_unit_test.py
   - tests/logging_callback_tests/test_otel_logging.py

3. proxy_server_config.yaml's gpt-3.5-turbo-large alias was routing to
   gpt-5.5 (a reasoning model that rejects logprobs). The proxy test
   tests/test_openai_endpoints.py::test_chat_completion_streaming
   exercises logprobs/top_logprobs through that alias. Bumped the
   underlying model to gpt-4.1 (non-reasoning, still modern).

4. tests/logging_callback_tests/test_gcs_pub_sub.py asserts against a
   pinned JSON fixture (gcs_pub_sub_body/spend_logs_payload.json) with
   hardcoded model="gpt-4o" and a model-specific spend value. Reverted
   the litellm.acompletion calls in the test to model="gpt-4o" so the
   fixture's exact-match assertions still hold.

5. tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py:
   anthropic.messages.create routing to openai/gpt-5-mini returned an
   empty content[0] with max_tokens=100 (reasoning-token consumption).
   Swapped to openai/gpt-4.1-mini.

* test: fix Assistants API model + 2 cursor[bot] review nits

1. pass_through_unit_tests/test_custom_logger_passthrough.py: gpt-5.5
   isn't accepted by the /v1/assistants endpoint
   ("unsupported_model"). Switch to gpt-4.1-mini (modern, Assistants-
   API-supported, non-reasoning).

2. example_config_yaml/pass_through_config.yaml: the previous sweep
   bumped the claude-3-7-sonnet alias to claude-opus-4-7, which is a
   tier change (Sonnet -> Opus). Map to claude-sonnet-4-6 to keep the
   Sonnet tier intact. (Cursor bugbot review.)

3. example_config_yaml/simple_config.yaml: model_name was left as
   gpt-3.5-turbo while the underlying was bumped to gpt-5-mini, which
   muddles the "simple" example. Make both sides gpt-5-mini so the
   most basic example is a straight 1:1 mapping again. (Cursor bugbot
   review.)

* fix: revert gpt-4/gpt-3.5-turbo alias underlying to non-reasoning models

tests/test_openai_endpoints.py::test_completion calls the proxy alias
"gpt-4" with temperature=0, and other tests call gpt-3.5-turbo with
custom temperature / logprobs / the legacy /v1/completions endpoint.
The earlier modernization mapped both aliases to gpt-5.5 / gpt-5-mini,
which are reasoning models that reject temperature != 1 and don't
expose /v1/completions. Map the aliases to gpt-4.1 / gpt-4.1-mini
(modern non-reasoning OpenAI models) instead — keeps user-facing
aliases preserved while picking a current underlying that still
supports the parameters/endpoints the tests exercise.
 2026-05-15 15:44:28 -07:00
Ishaan Jaffer e8461b5b97 style: run black formatter on files from main merge 2026-04-17 13:02:59 -07:00
Ishaan Jaff ee70d593c1 [Feat] Allow redacting message / response content for specific logging integrations - DD LLM Observability (#13158) 
* fix redact_standard_logging_payload

* add StandardCustomLoggerInitParams

* allow defining DatadogLLMObsInitParams

* fix init DataDogLLMObsLogger

* fix import

* update redact_standard_logging_payload_from_model_call_details

* test_dd_llms_obs_redaction

* docs DD logging

* docs DD

* docs DD

* Redacting Messages, Response docs DD LLM Obs

* fix redaction logic

* fix create_llm_obs_payload

* fix logging response

* fixes

* ruff fix

* fix test

* test_dd_llms_obs_redaction

* test_create_llm_obs_payload

* redact_standard_logging_payload_from_model_call_details

* img - dd_llm_obs

* docs DD

* fix linting

* fix linting

* fix mypy

* test_create_llm_obs_payload

* test_create_llm_obs_payload

* fix mock_env_vars

* fix _handle_anthropic_messages_response_logging
 2025-07-31 16:44:16 -07:00
Krish Dholakia ab7c4d1a0e Litellm dev bedrock anthropic 3 7 v2 (#8843) 
* feat(bedrock/converse/transformation.py): support claude-3-7-sonnet reasoning_Content transformation

Closes https://github.com/BerriAI/litellm/issues/8777

* fix(bedrock/): support returning `reasoning_content` on streaming for claude-3-7

Resolves https://github.com/BerriAI/litellm/issues/8777

* feat(bedrock/): unify converse reasoning content blocks for consistency across anthropic and bedrock

* fix(anthropic/chat/transformation.py): handle deepseek-style 'reasoning_content' extraction within transformation.py

simpler logic

* feat(bedrock/): fix streaming to return blocks in consistent format

* fix: fix linting error

* test: fix test

* feat(factory.py): fix bedrock thinking block translation on tool calling

allows passing the thinking blocks back to bedrock for tool calling

* fix(types/utils.py): don't exclude provider_specific_fields on model dump

ensures consistent responses

* fix: fix linting errors

* fix(convert_dict_to_response.py): pass reasoning_content on root

* fix: test

* fix(streaming_handler.py): add helper util for setting model id

* fix(streaming_handler.py): fix setting model id on model response stream chunk

* fix(streaming_handler.py): fix linting error

* fix(streaming_handler.py): fix linting error

* fix(types/utils.py): add provider_specific_fields to model stream response

* fix(streaming_handler.py): copy provider specific fields and add them to the root of the streaming response

* fix(streaming_handler.py): fix check

* fix: fix test

* fix(types/utils.py): ensure messages content is always openai compatible

* fix(types/utils.py): fix delta object to always be openai compatible

only introduce new params if variable exists

* test: fix bedrock nova tests

* test: skip flaky test

* test: skip flaky test in ci/cd
 2025-02-26 16:05:33 -08:00
Krish Dholakia 5c55270740 LiteLLM Minor Fixes & Improvements (11/04/2024) (#6572) 
* feat: initial commit for watsonx chat endpoint support

Closes https://github.com/BerriAI/litellm/issues/6562

* feat(watsonx/chat/handler.py): support tool calling for watsonx

Closes https://github.com/BerriAI/litellm/issues/6562

* fix(streaming_utils.py): return empty chunk instead of failing if streaming value is invalid dict

ensures streaming works for ibm watsonx

* fix(openai_like/chat/handler.py): ensure asynchttphandler is passed correctly for openai like calls

* fix: ensure exception mapping works well for watsonx calls

* fix(openai_like/chat/handler.py): handle async streaming correctly

* feat(main.py): Make it clear when a user is passing an invalid message

add validation for user content message

 Closes https://github.com/BerriAI/litellm/issues/6565

* fix: cleanup

* fix(utils.py): loosen validation check, to just make sure content types are valid

make litellm robust to future content updates

* fix: fix linting erro

* fix: fix linting errors

* fix(utils.py): make validation check more flexible

* test: handle langfuse list index out of range error

* Litellm dev 11 02 2024 (#6561)

* fix(dual_cache.py): update in-memory check for redis batch get cache

Fixes latency delay for async_batch_redis_cache

* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set

* feat(user_api_key_auth.py): add parent otel component for auth

allows us to isolate how much latency is added by auth checks

* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)

reduces latency by 200ms

* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)

Reduces latency by 400-800ms

* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls

reduces latency by 50-100ms

* fix: fix linting error

* fix(_service_logger.py): fix import

* fix(user_api_key_auth.py): fix service logging

* fix(dual_cache.py): don't pass 'self'

* fix: fix python3.8 error

* fix: fix init]

* bump: version 1.51.4 → 1.51.5

* build(deps): bump cookie and express in /docs/my-website (#6566)

Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.

Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](https://github.com/jshttp/cookie/compare/v0.6.0...v0.7.1)

Updates `express` from 4.20.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md)
- [Commits](https://github.com/expressjs/express/compare/4.20.0...4.21.1)

---
updated-dependencies:
- dependency-name: cookie
  dependency-type: indirect
- dependency-name: express
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* docs(virtual_keys.md): update Dockerfile reference (#6554)

Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>

* (proxy fix) - call connect on prisma client when running setup (#6534)

* critical fix - call connect on prisma client when running setup

* fix test_proxy_server_prisma_setup

* fix test_proxy_server_prisma_setup

* Add 3.5 haiku (#6588)

* feat: add claude-3-5-haiku-20241022 entries

* feat: add claude-3-5-haiku-20241022 and vertex_ai/claude-3-5-haiku@20241022 models

* add missing entries, remove vision

* remove image token costs

* Litellm perf improvements 3 (#6573)

* perf: move writing key to cache, to background task

* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils

adds 200ms on calls with pgdb connected

* fix(litellm_pre_call_utils.py'): rename call_type to actual call used

* perf(proxy_server.py): remove db logic from _get_config_from_file

was causing db calls to occur on every llm request, if team_id was set on key

* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db

reduces latency/call by ~100ms

* fix(proxy_server.py): minor fix on existing_settings not incl alerting

* fix(exception_mapping_utils.py): map databricks exception string

* fix(auth_checks.py): fix auth check logic

* test: correctly mark flaky test

* fix(utils.py): handle auth token error for tokenizers.from_pretrained

* build: fix map

* build: fix map

* build: fix json for model map

* Litellm dev 11 02 2024 (#6561)

* fix(dual_cache.py): update in-memory check for redis batch get cache

Fixes latency delay for async_batch_redis_cache

* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set

* feat(user_api_key_auth.py): add parent otel component for auth

allows us to isolate how much latency is added by auth checks

* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)

reduces latency by 200ms

* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)

Reduces latency by 400-800ms

* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls

reduces latency by 50-100ms

* fix: fix linting error

* fix(_service_logger.py): fix import

* fix(user_api_key_auth.py): fix service logging

* fix(dual_cache.py): don't pass 'self'

* fix: fix python3.8 error

* fix: fix init]

* Litellm perf improvements 3 (#6573)

* perf: move writing key to cache, to background task

* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils

adds 200ms on calls with pgdb connected

* fix(litellm_pre_call_utils.py'): rename call_type to actual call used

* perf(proxy_server.py): remove db logic from _get_config_from_file

was causing db calls to occur on every llm request, if team_id was set on key

* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db

reduces latency/call by ~100ms

* fix(proxy_server.py): minor fix on existing_settings not incl alerting

* fix(exception_mapping_utils.py): map databricks exception string

* fix(auth_checks.py): fix auth check logic

* test: correctly mark flaky test

* fix(utils.py): handle auth token error for tokenizers.from_pretrained

* fix ImageObject conversion (#6584)

* (fix) litellm.text_completion raises a non-blocking error on simple usage (#6546)

* unit test test_huggingface_text_completion_logprobs

* fix return TextCompletionHandler convert_chat_to_text_completion

* fix hf rest api

* fix test_huggingface_text_completion_logprobs

* fix linting errors

* fix importLiteLLMResponseObjectHandler

* fix test for LiteLLMResponseObjectHandler

* fix test text completion

* fix allow using 15 seconds for premium license check

* testing fix bedrock deprecated cohere.command-text-v14

* (feat) add `Predicted Outputs` for OpenAI  (#6594)

* bump openai to openai==1.54.0

* add 'prediction' param

* testing fix bedrock deprecated cohere.command-text-v14

* test test_openai_prediction_param.py

* test_openai_prediction_param_with_caching

* doc Predicted Outputs

* doc Predicted Output

* (fix) Vertex Improve Performance when using `image_url`  (#6593)

* fix transformation vertex

* test test_process_gemini_image

* test_image_completion_request

* testing fix - bedrock has deprecated cohere.command-text-v14

* fix vertex pdf

* bump: version 1.51.5 → 1.52.0

* fix(lowest_tpm_rpm_routing.py): fix parallel rate limit check (#6577)

* fix(lowest_tpm_rpm_routing.py): fix parallel rate limit check

* fix(lowest_tpm_rpm_v2.py): return headers in correct format

* test: update test

* build(deps): bump cookie and express in /docs/my-website (#6566)

Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.

Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](https://github.com/jshttp/cookie/compare/v0.6.0...v0.7.1)

Updates `express` from 4.20.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md)
- [Commits](https://github.com/expressjs/express/compare/4.20.0...4.21.1)

---
updated-dependencies:
- dependency-name: cookie
  dependency-type: indirect
- dependency-name: express
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* docs(virtual_keys.md): update Dockerfile reference (#6554)

Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>

* (proxy fix) - call connect on prisma client when running setup (#6534)

* critical fix - call connect on prisma client when running setup

* fix test_proxy_server_prisma_setup

* fix test_proxy_server_prisma_setup

* Add 3.5 haiku (#6588)

* feat: add claude-3-5-haiku-20241022 entries

* feat: add claude-3-5-haiku-20241022 and vertex_ai/claude-3-5-haiku@20241022 models

* add missing entries, remove vision

* remove image token costs

* Litellm perf improvements 3 (#6573)

* perf: move writing key to cache, to background task

* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils

adds 200ms on calls with pgdb connected

* fix(litellm_pre_call_utils.py'): rename call_type to actual call used

* perf(proxy_server.py): remove db logic from _get_config_from_file

was causing db calls to occur on every llm request, if team_id was set on key

* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db

reduces latency/call by ~100ms

* fix(proxy_server.py): minor fix on existing_settings not incl alerting

* fix(exception_mapping_utils.py): map databricks exception string

* fix(auth_checks.py): fix auth check logic

* test: correctly mark flaky test

* fix(utils.py): handle auth token error for tokenizers.from_pretrained

* build: fix map

* build: fix map

* build: fix json for model map

* test: remove eol model

* fix(proxy_server.py): fix db config loading logic

* fix(proxy_server.py): fix order of config / db updates, to ensure fields not overwritten

* test: skip test if required env var is missing

* test: fix test

---------

Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>

* test: mark flaky test

* test: handle anthropic api instability

* test: update test

* test: bump num retries on langfuse tests - their api is quite bad

---------

Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
 2024-11-06 17:53:46 +05:30
Ishaan Jaff 030ece8c3f (Feat) New Logging integration - add Datadog LLM Observability support (#6449) 
* add type for dd llm obs request ob

* working dd llm obs

* datadog use well defined type

* clean up

* unit test test_create_llm_obs_payload

* fix linting

* add datadog_llm_observability

* add datadog_llm_observability

* docs DD LLM obs

* run testing again

* document DD_ENV

* test_create_llm_obs_payload
 2024-10-28 22:01:32 +05:30