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feat: billing and credit management v2 (#429)
* feat: use mps generated correlation ID * chore: update pipecat submodule * feat: add credit purchase URL * feat: carve out billing page and show credit ledger * feat: deprecate dograh based quota tracking * fix: remove cost calculation from dograh codebase * fix: create mps account on migrate to v2 * chore: update pipecat
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80 changed files with 3335 additions and 2057 deletions
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@ -421,7 +421,19 @@ async def execute_text_chat_pending_turn(
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if user_config.llm is None:
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raise ValueError("Text chat requires an LLM configuration")
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llm = create_llm_service(user_config)
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from api.services.managed_model_services import (
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MPS_CORRELATION_ID_CONTEXT_KEY,
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ensure_mps_correlation_id,
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)
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base_initial_context = dict(workflow_run.initial_context or {})
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mps_correlation_id = await ensure_mps_correlation_id(
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ai_model_config=user_config,
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workflow_run_id=workflow_run_id,
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initial_context=base_initial_context,
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)
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llm = create_llm_service(user_config, correlation_id=mps_correlation_id)
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inference_llm = llm
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runtime_configuration = {
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@ -429,9 +441,15 @@ async def execute_text_chat_pending_turn(
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"llm_model": user_config.llm.model,
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}
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initial_context = {
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**(workflow_run.initial_context or {}),
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**base_initial_context,
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"runtime_configuration": runtime_configuration,
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}
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if mps_correlation_id:
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initial_context[MPS_CORRELATION_ID_CONTEXT_KEY] = mps_correlation_id
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await db_client.update_workflow_run(
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workflow_run_id,
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initial_context=initial_context,
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)
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workflow_graph = WorkflowGraph(
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ReactFlowDTO.model_validate(run_definition.workflow_json)
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