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Litellm dev 12 07 2024 (#7086)
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* fix(main.py): support passing max retries to azure/openai embedding integrations Fixes https://github.com/BerriAI/litellm/issues/7003 * feat(team_endpoints.py): allow updating team model aliases Closes https://github.com/BerriAI/litellm/issues/6956 * feat(router.py): allow specifying model id as fallback - skips any cooldown check Allows a default model to be checked if all models in cooldown s/o @micahjsmith * docs(reliability.md): add fallback to specific model to docs * fix(utils.py): new 'is_prompt_caching_valid_prompt' helper util Allows user to identify if messages/tools have prompt caching Related issue: https://github.com/BerriAI/litellm/issues/6784 * feat(router.py): store model id for prompt caching valid prompt Allows routing to that model id on subsequent requests * fix(router.py): only cache if prompt is valid prompt caching prompt prevents storing unnecessary items in cache * feat(router.py): support routing prompt caching enabled models to previous deployments Closes https://github.com/BerriAI/litellm/issues/6784 * test: fix linting errors * feat(databricks/): convert basemodel to dict and exclude none values allow passing pydantic message to databricks * fix(utils.py): ensure all chat completion messages are dict * (feat) Track `custom_llm_provider` in LiteLLMSpendLogs (#7081) * add custom_llm_provider to SpendLogsPayload * add custom_llm_provider to SpendLogs * add custom llm provider to SpendLogs payload * test_spend_logs_payload * Add MLflow to the side bar (#7031) Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * (bug fix) SpendLogs update DB catch all possible DB errors for retrying (#7082) * catch DB_CONNECTION_ERROR_TYPES * fix DB retry mechanism for SpendLog updates * use DB_CONNECTION_ERROR_TYPES in auth checks * fix exp back off for writing SpendLogs * use _raise_failed_update_spend_exception to ensure errors print as NON blocking * test_update_spend_logs_multiple_batches_with_failure * (Feat) Add StructuredOutputs support for Fireworks.AI (#7085) * fix model cost map fireworks ai "supports_response_schema": true, * fix supports_response_schema * fix map openai params fireworks ai * test_map_response_format * test_map_response_format * added deepinfra/Meta-Llama-3.1-405B-Instruct (#7084) * bump: version 1.53.9 → 1.54.0 * fix deepinfra * litellm db fixes LiteLLM_UserTable (#7089) * ci/cd queue new release * fix llama-3.3-70b-versatile * refactor - use consistent file naming convention `AI21/` -> `ai21` (#7090) * fix refactor - use consistent file naming convention * ci/cd run again * fix naming structure * fix use consistent naming (#7092) --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com> Co-authored-by: ali sayyah <ali.sayyah2@gmail.com>
This commit is contained in:
Krish Dholakia
GitHub
parent
36e99ebce7
commit
0c0498dd60
24 changed files with 840 additions and 193 deletions
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@ -1207,173 +1207,6 @@ class PrismaClient:
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except Exception:
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raise
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# try:
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# # Try to select one row from the view
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# await self.db.query_raw(
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# """SELECT 1 FROM "LiteLLM_VerificationTokenView" LIMIT 1"""
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# )
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# print("LiteLLM_VerificationTokenView Exists!") # noqa
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# except Exception as e:
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# If an error occurs, the view does not exist, so create it
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# try:
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# await self.db.query_raw("""SELECT 1 FROM "MonthlyGlobalSpend" LIMIT 1""")
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# print("MonthlyGlobalSpend Exists!") # noqa
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# except Exception as e:
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# sql_query = """
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# CREATE OR REPLACE VIEW "MonthlyGlobalSpend" AS
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# SELECT
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# DATE("startTime") AS date,
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# SUM("spend") AS spend
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# FROM
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# "LiteLLM_SpendLogs"
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# WHERE
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# "startTime" >= (CURRENT_DATE - INTERVAL '30 days')
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# GROUP BY
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# DATE("startTime");
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# """
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# await self.db.execute_raw(query=sql_query)
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# print("MonthlyGlobalSpend Created!") # noqa
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# try:
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# await self.db.query_raw("""SELECT 1 FROM "Last30dKeysBySpend" LIMIT 1""")
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# print("Last30dKeysBySpend Exists!") # noqa
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# except Exception as e:
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# sql_query = """
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# CREATE OR REPLACE VIEW "Last30dKeysBySpend" AS
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# SELECT
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# L."api_key",
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# V."key_alias",
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# V."key_name",
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# SUM(L."spend") AS total_spend
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# FROM
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# "LiteLLM_SpendLogs" L
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# LEFT JOIN
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# "LiteLLM_VerificationToken" V
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# ON
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# L."api_key" = V."token"
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# WHERE
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# L."startTime" >= (CURRENT_DATE - INTERVAL '30 days')
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# GROUP BY
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# L."api_key", V."key_alias", V."key_name"
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# ORDER BY
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# total_spend DESC;
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# """
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# await self.db.execute_raw(query=sql_query)
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# print("Last30dKeysBySpend Created!") # noqa
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# try:
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# await self.db.query_raw("""SELECT 1 FROM "Last30dModelsBySpend" LIMIT 1""")
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# print("Last30dModelsBySpend Exists!") # noqa
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# except Exception as e:
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# sql_query = """
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# CREATE OR REPLACE VIEW "Last30dModelsBySpend" AS
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# SELECT
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# "model",
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# SUM("spend") AS total_spend
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# FROM
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# "LiteLLM_SpendLogs"
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# WHERE
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# "startTime" >= (CURRENT_DATE - INTERVAL '30 days')
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# AND "model" != ''
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# GROUP BY
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# "model"
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# ORDER BY
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# total_spend DESC;
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# """
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# await self.db.execute_raw(query=sql_query)
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# print("Last30dModelsBySpend Created!") # noqa
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# try:
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# await self.db.query_raw(
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# """SELECT 1 FROM "MonthlyGlobalSpendPerKey" LIMIT 1"""
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# )
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# print("MonthlyGlobalSpendPerKey Exists!") # noqa
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# except Exception as e:
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# sql_query = """
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# CREATE OR REPLACE VIEW "MonthlyGlobalSpendPerKey" AS
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# SELECT
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# DATE("startTime") AS date,
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# SUM("spend") AS spend,
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# api_key as api_key
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# FROM
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# "LiteLLM_SpendLogs"
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# WHERE
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# "startTime" >= (CURRENT_DATE - INTERVAL '30 days')
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# GROUP BY
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# DATE("startTime"),
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# api_key;
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# """
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# await self.db.execute_raw(query=sql_query)
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# print("MonthlyGlobalSpendPerKey Created!") # noqa
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# try:
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# await self.db.query_raw(
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# """SELECT 1 FROM "MonthlyGlobalSpendPerUserPerKey" LIMIT 1"""
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# )
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# print("MonthlyGlobalSpendPerUserPerKey Exists!") # noqa
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# except Exception as e:
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# sql_query = """
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# CREATE OR REPLACE VIEW "MonthlyGlobalSpendPerUserPerKey" AS
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# SELECT
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# DATE("startTime") AS date,
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# SUM("spend") AS spend,
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# api_key as api_key,
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# "user" as "user"
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# FROM
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# "LiteLLM_SpendLogs"
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# WHERE
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# "startTime" >= (CURRENT_DATE - INTERVAL '20 days')
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# GROUP BY
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# DATE("startTime"),
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# "user",
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# api_key;
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# """
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# await self.db.execute_raw(query=sql_query)
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# print("MonthlyGlobalSpendPerUserPerKey Created!") # noqa
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# try:
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# await self.db.query_raw("""SELECT 1 FROM "DailyTagSpend" LIMIT 1""")
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# print("DailyTagSpend Exists!") # noqa
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# except Exception as e:
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# sql_query = """
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# CREATE OR REPLACE VIEW DailyTagSpend AS
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# SELECT
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# jsonb_array_elements_text(request_tags) AS individual_request_tag,
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# DATE(s."startTime") AS spend_date,
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# COUNT(*) AS log_count,
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# SUM(spend) AS total_spend
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# FROM "LiteLLM_SpendLogs" s
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# GROUP BY individual_request_tag, DATE(s."startTime");
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# """
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# await self.db.execute_raw(query=sql_query)
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# print("DailyTagSpend Created!") # noqa
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# try:
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# await self.db.query_raw(
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# """SELECT 1 FROM "Last30dTopEndUsersSpend" LIMIT 1"""
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# )
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# print("Last30dTopEndUsersSpend Exists!") # noqa
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# except Exception as e:
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# sql_query = """
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# CREATE VIEW "Last30dTopEndUsersSpend" AS
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# SELECT end_user, COUNT(*) AS total_events, SUM(spend) AS total_spend
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# FROM "LiteLLM_SpendLogs"
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# WHERE end_user <> '' AND end_user <> user
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# AND "startTime" >= CURRENT_DATE - INTERVAL '30 days'
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# GROUP BY end_user
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# ORDER BY total_spend DESC
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# LIMIT 100;
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# """
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# await self.db.execute_raw(query=sql_query)
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# print("Last30dTopEndUsersSpend Created!") # noqa
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return
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@log_db_metrics
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@ -1784,6 +1617,14 @@ class PrismaClient:
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)
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raise e
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def jsonify_team_object(self, db_data: dict):
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db_data = self.jsonify_object(data=db_data)
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if db_data.get("members_with_roles", None) is not None and isinstance(
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db_data["members_with_roles"], list
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):
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db_data["members_with_roles"] = json.dumps(db_data["members_with_roles"])
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return db_data
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# Define a retrying strategy with exponential backoff
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@backoff.on_exception(
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backoff.expo,
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@ -2348,7 +2189,6 @@ def get_instance_fn(value: str, config_file_path: Optional[str] = None) -> Any:
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module_name = value
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instance_name = None
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try:
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print_verbose(f"value: {value}")
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# Split the path by dots to separate module from instance
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parts = value.split(".")
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